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About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary We’re seeking highly motivated Data Quality Analysts with strong analytical skills and a keen eye for detail to join our Human Data Annotation team within the Science organisation. This is a hybrid quality reviewing and tooling role: - you'll spend the majority of your time reviewing and auditing Finance (any subdomain) annotations against rubrics to ensure data used for training and evaluating AI models meets the highest standards of quality and efficiency. - and the remainder building, maintaining, and troubleshooting annotation operations. You'll collaborate closely with the annotators, technical program manager, and science stakeholders, and contribute to refining the guidelines and processes that shape how our data is produced. Key Responsibilities - In collaboration with the technical team, review/audit annotations, clarify requirements, share insights, surface systemic issues, edge cases, and gaps in guidelines, to improve annotation processes and guidelines. - Generate and validate high-quality finance-oriented data annotations yourself when needed, based on guidelines and continuous feedback, for the development and evaluation of AI models - Build and maintain internal tools and automation that streamline annotation or review workflows such as visualization dashboards, batch configuration scripts, output management utilities, and similar - Troubleshoot campaign issues (e.g. tooling, guidelines) for annotators - Organise annotator training and coordinate feedback between annotators and reviewers. About you - A degree (minimum Masters level) in a Finance discipline. - At least 3 years of professional experience in the Financial domain. - Outstanding analytical and research skills - Some familiarity with programming languages, with the ability to read standard output formats such as .jsonl files. - Exercises great judgement with complex instructions, limited data, and/or multiple information sources and ability to surface edge cases, ambiguities, or gaps in guidelines accordingly. - Excellent communication, interpersonal, and organisational abilities - Adapts easily to dynamic environments and changing requirements - Appetite for operational work and high tolerance for repetitive tasks with a sustained focus and accuracy on detail-oriented, high-volume review work. - Professional proficiency in English, with strong writing and comprehension skills Nice to have - Familiarity with rubric-based evaluation concepts, inter-annotator agreement, or quality measurement for human-labeled data - Experience building an annotation team through interviews and training - Proficient in at least one programming language (e.g. Python) - Prior experience in data annotation for AI/ML, especially LLM training (SFT, RLHF, preference data), evals/benchmarks, or agentic data - Comfortable working in a Unix-like terminal and using git workflows (branches, merges, resolving conflicts) What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits. Within Security GRC, Compliance and Audit Programs (CAP) runs the integrated audit across our frameworks and maintains the Common Control Framework the program hangs off. This role sits in Compliance & Audit Programs and works one regime family, US public sector, from requirements through authorization and ongoing compliance, working alongside the public sector engineering pods rather than downstream of them. About the role You'll help drive the compliance programs that keep Anthropic's US government authorizations current: federal civilian (FedRAMP, including FedRAMP 20x for Claude Enterprise), Department of War (DoD impact levels, CMMC, NIST SP 800-171), and state and local (StateRAMP, TX-RAMP and agency requirements). You'll own the recurring cycles those authorizations run on (continuous monitoring, POA&M, annual assessments, significant changes), help build new authorizations as we add them, and keep every frontier model's authorizations current. You'll turn government requirements into specific, testable requirements that engineering teams build against, review the evidence that comes back, and say so when a launch is not ready for a government boundary. You'll map US government requirements onto our Common Control Framework so the public sector view and the integrated audit view of the same control stay one framework. Building with Claude is a normal part of the job: mapping, evidence collection and reporting, with you deciding where human judgment stays in the loop. This is an individual contributor role, working closely with a peer on US public sector compliance, for someone who works well independently, writes clearly, and gets satisfaction from a government authorization that holds up as the product changes underneath it. Key responsibilities - Run the recurring compliance cycles for our US government authorizations (continuous monitoring, POA&M, annual assessments, SSP updates, significant changes and incident notifications), starting with C4G on Palantir FedStart and the NIST SP 800-171 assessment with Schellman - Co-own FedRAMP 20x work for Claude Enterprise, and help build new authorizations (first-party FedRAMP High, DoW impact levels, StateRAMP and TX-RAMP) with requirements and evidence work - Support model authorizations in GovCloud and Vertex for every model launch, as the GRC member of the Inference and model delivery pod - Translate government obligations into partner team requirements, for example vulnerability SLAs in our internal vulnerability reporting platform, and review the evidence - Answer public sector customer and deal questions (what a boundary allows, CUI, IRS Publication 1075, CJIS, ITAR), and handle questionnaires and RFIs until they move to Customer Trust - Map US government requirements onto the Common Control Framework with the Controls Assurance Lead and keep one source of truth for status - Build with Claude: automate mapping, evidence collection and reporting, and verify machine-drafted language before it becomes the record Minimum qualifications - Several years in security compliance or IT audit with hands-on US government compliance for a cloud service (FedRAMP, DoD impact levels, CMMC or NIST SP 800-171, or StateRAMP), including the ongoing compliance cycle after authorization - Working command of the NIST SP 800-53 Moderate baseline and the mechanics of authorization: boundary definition, control implementation statements, assessment, continuous monitoring, POA&M and significant change - Experience writing requirements for engineering teams from a control baseline and reviewing the evidence that came back - Working knowledge of how a GovCloud or Vertex style government region differs from commercial, and what changes when a model, feature or region is added to an authorized boundary - Enough technical fluency to read a runbook, configuration or pipeline definition and judge whether it enforces the written control - Clear writing, because implementation statements and status reports are what assessors, engineers and leadership work from - Ability to get partner teams to prioritize and close compliance work without authority over them Preferred qualifications - Have taken a service through FedRAMP High or DoD IL4 or IL5, or supported a service on classified networks - Have worked on a FedRAMP 20x pilot or built machine-readable evidence or reporting for an assessor - Have applied LLMs to compliance work such as control mapping, evidence testing or continuous evidence collection - Hold or are eligible for a US security clearance - Experience with state and local requirements such as StateRAMP, TX-RAMP, IRS Publication 1075 or CJIS You don't need to - Have done everything on this list or worked every regime. The scarce combination is running a government authorization on its recurring cycle plus the judgment to tell whether a control actually works - Write production code. The bar is fluency sufficient to read, query and challenge - Hold every certification. CISSP, CISA, CGRC or similar are welcome and not required - Have prior AI industry experience Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Security Risk team is responsible for how Anthropic identifies, prioritizes, and drives treatment of its most important security risks. We are rebuilding risk management to operate as an engineering function, using automation, quantitative risk and AI-native platforms to enable decision making. The risks we assess span Anthropic's full security landscape, so the team needs breadth across domains and the judgment to go deep wherever a decision demands it. Security Risk, in deep partnership with Security Engineering, helps define the security program and shapes how investment and treatment decisions get made. The conventional GRC playbook was not built for a company shipping frontier AI. You will help define what replaces it, with a direct line to CISO-level decisions. As a Security Risk Analyst you will take risk questions from leadership and partner teams and drive them to a decision. Sometimes that is a fast, structured qualitative assessment and other times it is a deep FAIR-based quantitative analysis. Either way you bring leadership a clear position, the tradeoffs, and honest uncertainty, and you defend it under challenge. In parallel, you will help turn quantitative risk into a product partner teams can leverage, and define the standards a growing risk function will run on. Key responsibilities - Enable leadership and partner teams to make risk-informed decisions. Take ambiguous risk questions, drive them to a documented decision, and communicate the quantitative and qualitative tradeoffs clearly - Lead quantitative analysis of the company's top security risk scenarios using FAIR, calibrated estimation, and simulation, working with the engineers who own the systems and presenting results in terms leadership can act on - Partner with Security Engineering to assess threat scenarios and control effectiveness so security investment is right-sized to actual risk and remediation is sequenced where it buys down the most risk - Frame escalations and risk treatment decisions with a clear recommendation, an honest statement of uncertainty, and re-evaluation triggers, and pressure test those decisions with risk owners - Shape the analysis and narrative behind leadership risk reviews, and help define risk appetite and the risk metrics the organization should measure and why - Use AI and automation to scale risk analysis, and own the calibration and quality review that keep the outputs trustworthy - Turn one-off analyses into reusable methods, templates, and training so risk analysis becomes increasingly self service for partner teams, and raise the analytical quality of the risk register You may be a good fit if you - Have owned security or technology risk analysis end to end, qualitative and quantitative, and can point to a decision your output changed, whether a funding call, a launch call, a remediation sequence, or a documented acceptance - Have hands-on FAIR-style quantification experience, including scenario decomposition, calibrated estimation, and Monte Carlo simulation in Python, R, or spreadsheet tooling, briefed to decision makers - Thrive in ambiguity. You frame a moving question into something analyzable, pick the depth that fits, and drive to a decision rather than a report - Put defensible severity and likelihood on ambiguous problems, state uncertainty honestly, and change your position when the evidence changes - Have enough technical security depth to decompose an attack path with security engineers and be credible in the room - Can compress a complex risk position into one paragraph for the CISO, make the tradeoff explicit, and defend it under pointed questions - Use Claude or other LLMs as daily working tools and review model output critically - Are low ego and collaborative, build credibility through the work, and care about AI safety and the role security risk plays in it Strong candidates may also - Have applied FAIR-CAM or another structured approach to control effectiveness and attack path modeling - Have built or operated a cyber risk quantification program, or turned quantitative analysis into tooling, templates, or training that others ran - Have helped define risk appetite or tolerance thresholds an organization actually used to make decisions - Bring a background in security engineering, detection, threat intelligence, actuarial science, or decision science that grounds the numbers in real systems - Are familiar with security risks specific to AI systems, such as goal or intent modification, and how they change traditional threat models The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 - $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's go-to-market organization is growing quickly, and our most important priorities for customers and for our field rarely sit within one team. Priorities cut across Sales, Marketing, Customer Success, Product, Revenue Operations, Enablement, Finance, Legal, Partnerships and more. We're looking for a strategic program manager to own these initiatives end to end. You'll start with an ambiguous ask, sometimes from a senior leader and sometimes from a signal in the data. You'll find the root cause of the problem and design a solution with subject-matter experts across the company, then drive it from strategy to planning to results to iteration. You’ll bring stakeholders along while still moving quickly to the right answer. The work ranges from large cross-functional programs to short, focused SWAT efforts on urgent questions. Success looks like making better decisions, faster, for our customers and our field. This is a strategic, highly cross-functional individual contributor role for someone equally comfortable building a business case, running a forum with senior stakeholders, getting into the data, and working directly with the field. You'll operate with high autonomy on the most critical GTM questions we face. Key responsibilities - Own a portfolio of strategic GTM programs end to end, each starting from a business problem (e.g., customer activation, seller efficiency, model launches) and running from scoping through launch, operationalization, results, and iteration - Act as a thought partner to Sales and GTM leaders: identify, scope, and prioritize the programs most worth doing, and say no to the rest - Turn ambiguous, loosely scoped problems into structured analysis, a defensible model, and a clear plan with owners, milestones, and decision points - Align and drive teams across Sales, Marketing, Customer Success, Product, Revenue Operations, Enablement, Finance, Legal, and Partnerships without formal authority over any of them - Engage senior executives on the status and outcomes of the most critical programs - Manage change so new programs are adopted by the field, and define and report on success metrics such as adoption, time-to-value, and productivity impact - Use AI tools every day to analyze, model, and build faster - Create the templates, cadence, and reporting that help every future program launch well Minimum qualifications - Have led complex cross-functional programs from problem definition through delivery, in strategy consulting, strategy and operations, GTM or sales programs, or program management - A track record of turning ambiguous problems into clear, defensible recommendations - Have driven initiatives to completion across teams you do not manage, including when senior stakeholders disagreed - Analytical skills: building a business case and quantitative model, defining targets, and pulling and analyzing your own data from CRM and BI tools - Clear written and verbal communication, with experience presenting analysis and recommendations to senior and executive audiences - A working understanding of how an enterprise sales organization operates - Have built programs or processes where none existed, and owned the outcome through to results - Are motivated by Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications - A background in strategy consulting followed by an in-house role where you built and ran programs and strategic projects - Experience running sales or GTM programs with measured results, such as pipeline, activation, adoption, or launch programs - Experience working within a sales operating cadence, such as forecast calls and pipeline reviews, Sales planning, product launches - Hands-on experience using AI tools daily to work faster and more rigorously, including building workflows with Claude or similar tools - Experience at a company selling technical or AI products - Experience as an early hire in a new team or function The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 - $310,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is growing quickly across Asia Pacific, and our International Recruiting Coordination team is building for it. As our first Recruiting Coordinator based in Singapore, you'll deliver a warm, high touch interview experience for candidates across APAC, including Japan, Korea, India, Australia, New Zealand and South East Asia. You'll partner closely with our APAC recruiters and recruiting managers, be the local point of contact for candidates and interviewers in the region and help keep hiring moving around the clock as part of a follow the sun coordination model with your teammates. As you'll be first in seat, you'll also help shape how coordination works in a region where we're still building: spotting what's missing, documenting what works and making it easier for the people who join after you. You'll own coordination for your region end to end and act as our go to operator for APAC hiring logistics, working independently with support from your manager. Responsibilities: - Schedule a high volume of APAC interview loops, from hiring manager screens through onsites, debriefs and reference calls, across multiple time zones, languages and stakeholder calendars. - Be the primary point of contact for candidates on logistics, with a warm, clear and culturally aware tone that makes every candidate feel supported and informed. - Partner with recruiters and hiring managers as a trusted advisor: flag capacity risks, local holidays and market norms early, and help them see around corners. - Keep our systems accurate for APAC roles, including Greenhouse job setup, interview plans; scheduling tool configuration and supervise automations. - Provide coverage within our follow the sun model, with clean handoffs so candidates never feel the gaps between regions. - Support recruiters and RecOps with regional hiring operations as our APAC footprint grows, such as new locations, entity changes, offer logistics and onboarding handoffs. - Improve our processes and document what works. - Independently scope and lead projects, from problem to adopted solution. - Use AI tools as a core part of your daily workflow. You may be a good fit if you have: - 4+ years of experience in recruiting coordination or high volume scheduling, ideally supporting multiple APAC markets. - Experience coordinating across time zones and markets, with an understanding of local business norms across APAC. - Hands-on experience with an applicant tracking system (e.g., Greenhouse) and a scheduling tool (e.g., ModernLoop, GoodTime). - Excellent written communication, especially a knack for friendly, informative emails that build rapport and convey information clearly. - Comfort creating structure where there isn't one yet, and the judgment to know when to escalate. - Hands on fluency with AI tools, and the judgment to know when to trust the output and when to override it. - A love of feedback, and comfort both requesting and providing it. - Fluency in English (native or business-level). - Additional APAC languages (e.g., Japanese, Korean or Mandarin) a plus. - A genuine interest in Anthropic's mission and our deep commitment to AI safety. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Program Manager on Anthropic's Safeguards team, you'll help make sure we meet our obligations under AI safety laws and regulations around the world. Working closely with Legal, you'll turn new and emerging requirements into programs, controls, and deliverables. This requires a detailed understanding of how our models and products are built, evaluated and safeguarded. Your work will support Anthropic's commitment to developing AI safely and beneficially as the regulatory landscape evolves. The responsibilities listed below are some examples of areas that someone in this role could own, depending on their experience and the team's needs. Key responsibilities - Manage and drive complex safety initiatives that identify, assess and mitigate risks from frontier models, from initial risk assessment through to the deployment of safeguards - Partner with the Safeguards incident management team to strengthen incident response and reporting processes, including the policies that determine how incidents are escalated and when they must be reported externally - Conduct post-incident reviews, and work with the subject matter experts for each harm area to incorporate the findings into model and product safeguards - Own the safety strategy and deliverables for AI systems used in high-risk settings, including risk assessments, technical documentation, and the information that deploying customers need to use those systems safely - Define the safety and risk controls that our models and products require, ensure that each control has an owner and a documented procedure, and confirm that it operates as intended - Partner closely with the owners of each risk area to develop a deep understanding of AI risks, safety evaluations and mitigation strategies, and use that understanding to prepare safety documentation, transparency reports and regulatory submissions Minimum qualifications - Experience in trust and safety, AI safety or a related field, including designing and implementing safeguards against misuse or harm - Understanding of AI safety, including the principal risk areas and the evaluations and safeguards used to address them, well enough to engage substantively with the technical experts responsible for them - Experience running risk assessment or harm mitigation programs from identification through to resolution - Experience translating policy or regulatory requirements into practical operational processes - Ability to drive complex, cross-functional programs to completion in a fast-moving environment, including with technical teams outside your own discipline - Clear written communication, including documentation for technical, legal and external audiences - Strong attention to detail, and the judgment to recognize when work is at risk and raise it early - Commitment to the safe development and deployment of AI Preferred qualifications - Experience with AI-specific regulation, such as the EU AI Act - Experience leading incident response programs, including escalation paths and external reporting obligations - Experience preparing safety documentation, transparency reports or regulatory submissions - Experience working with technical and research teams on safety evaluations The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 - $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Developers and enterprises build on Claude through the Claude Platform. Our models are getting exponentially more intelligent, and our APIs and developer tools need to evolve just as quickly so developers can take advantage of that intelligence safely. We're hiring Engineering Managers to lead teams that build these APIs and developer tools. We are shipping APIs and infrastructure for building and running agents in production. These APIs ship alongside SDKs, docs, and tooling that developers (and agents!) utilize in order to build high quality integrations. These abstractions are backed by our identity, verification, and trust platform, which lets us scale access to Claude responsibly. Key responsibilities - Lead a team of engineers to ship high quality work quickly, owning planning, prioritization, delivery, and operational health - Partner with product to set your team's roadmap, and bring a strong point of view on what developers need - Talk to customers directly and turn what you learn into engineering priorities - Guide API design and architecture decisions for distributed systems that have to stay reliable as usage grows - Work closely with Research, Safeguards, Security, and go-to-market teams to bring new model capabilities to developers safely - Recruit, coach, and grow strong engineers Minimum qualifications - You have experience managing high-performing software engineering teams shipping developer products, including hiring, coaching, and performance management - You're product-minded and customer-oriented. You care about who uses what your team builds, and you've shaped roadmaps alongside product partners - You've built and scaled distributed systems in production, and you have the technical depth required to guide architecture and API design - You've led teams that ship quickly and hold a high quality bar - You collaborate well across functions and can align teams you don't manage - You care about Anthropic's mission and about developing AI safely Preferred qualifications - Experience building agent infrastructure or products on top of LLMs - Experience with identity, verification, access control, or trust and safety systems Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

The internet is vast, containing trillions of URLs. Perplexity’s crawling and storage system is complex and has multiple stages (URL discovery, crawling, parsing, indexing). Each stage offers many opportunities for improvement and room for intricate bugs. You’ll work at the intersection of data analysis and engineering — designing metrics, building data pipelines, and improving the quality of our search and answer systems. Responsibilities - Find and diagnose quality issues in our crawling pipeline - Train small models that optimize particular aspects of the pipeline (e.g. parsing quality) - Build datasets for model training, including LLM-as-a-judge labeling pipelines - Improve page selection algorithms for indexing - Design and analyze experiments to validate improvements Qualifications - 4+ years of experience as a data analyst, ML engineer, or in a related role - Strong coding skills: you should be able to write production-grade code at the level of a mid-level backend engineer - Experience designing metrics from scratch - Experience training ML models that shipped to production with measurable metric improvements Nice to have - Direct experience working on web crawling or indexing pipelines

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role AI is changing both sides of the security equation, and Anthropic is focused on putting frontier AI capabilities in the hands of defenders. Cybersecurity is a fast-growing area for Anthropic, spanning enterprise security teams that adopt Claude for their own security work and security companies that build their products on our models. The buyers are demanding and data-driven, from CISOs to hands-on practitioners in security engineering, application security, security operations, threat intelligence, and incident response. As Field Marketing Lead, Cybersecurity, you will lead Anthropic's field marketing for the cybersecurity audience around the world, helping position Claude as the trusted AI partner for security teams. You will align closely with the sales organization, develop the marketing strategies and tools the field needs, and partner with Anthropic's cybersecurity experts in product marketing, solutions marketing, and across the business to turn their positioning and messaging into programs and campaigns. You will be the cybersecurity lead that our campaigns and regional field marketing teams draw on, working with customers in every segment and with a focus on expanding within existing accounts. You will make sure that how we show up to CISOs, practitioners, and the buying committee is credible, consistent, and tied to revenue, whether in a global campaign, an executive roundtable, or a flagship industry event. Location: this is a global role, with a preference for candidates based in San Francisco or New York. Key responsibilities - Own the global cybersecurity field marketing plan: define how we reach CISOs, practitioners, and the buying committee in every customer segment, the annual program calendar, and the goals and success metrics agreed with sales leadership before budget is committed - Align with the sales organization worldwide: agree on target accounts and buying committees, build programs that expand Anthropic's footprint in existing accounts and open new opportunities, and make sure account teams have what they need to invite, follow up, and convert - Partner with product marketing, solutions marketing, and Anthropic's cybersecurity experts: build on their positioning, messaging, and enablement, and work with them to turn cyber use cases into the programs and campaigns that build awareness and demand - Develop the marketing strategies and tools the field needs: playbooks, program kits, speaker guidance, and event recommendations that let regional field marketers in the Americas, EMEA, and APAC run cybersecurity programs locally without starting from scratch - Design and run flagship cybersecurity moments in the field: executive roundtables, CISO dinners, practitioner workshops, and Anthropic's field presence around major industry events such as RSAC, Black Hat, Gartner Security & Risk Management Summit, and Infosecurity Europe, in step with the launch, content, and thought leadership plans led by product and solutions marketing - Serve as the cybersecurity field lead for integrated campaigns: bring audience insight, field feedback, and program ideas, and extend global campaigns into regional programs so they land with CISOs, practitioners, and the rest of the buying committee - Bring the voice of the security buyer back into Anthropic: share what you hear from customers, analysts, and the field with Product, Sales, and Marketing leadership - Measure what matters: sourced and influenced pipeline, expansion within existing accounts, program-level attribution, and a clear read on which programs earn more investment, built with Marketing Ops - Protect the brand with a skeptical audience: hold a high bar for technical accuracy, keep the story focused on defenders and responsible deployment, avoid fear-based messaging, and know when to say no to a program that would not earn trust - Operate as connective tissue across Anthropic: Sales, Campaigns, regional Field Marketing, Product Marketing, Solutions Marketing, Partner Marketing, Partnerships, Events, and Comms all touch this audience. You keep them coordinated and the customer experience coherent Minimum qualifications - Working fluency in the cybersecurity landscape, across areas such as security operations, detection and response, threat intelligence, application security, vulnerability management, cloud security, and governance, risk and compliance, with enough technical depth to hold a credible conversation with both CISOs and hands-on practitioners - A track record of partnering with sales teams on pipeline and on expansion within existing accounts, including account-based programs and executive engagement, with results to show for them - Experience across both integrated campaigns and field marketing, and the judgment to know which one a given goal calls for - Experience operating globally: you have led programs across multiple regions and enabled local teams to run them well - Strong influence without authority: able to set direction for campaigns and regional field marketers who do not report to you - Comfort building in ambiguity: the playbook for this motion is being written now, and you'll write much of it - Rigor on measurement: fluent in pipeline attribution with sales and ops counterparts - Experience working alongside product marketing and technical experts, and turning their positioning and messaging into field programs and campaigns - Range across customer segments: you can adapt a program for a large enterprise, a mid-size company, and a fast-growing startup Preferred qualifications - 8+ years of B2B marketing experience, with significant time in field marketing or demand generation for cybersecurity buyers at a security vendor or an enterprise technology company - Hands-on background in security, such as time as a practitioner, sales engineer, or product marketer for a security product - Familiarity with the AI ecosystem and how enterprises adopt AI products, including how AI is changing security work for defenders - Experience marketing trust-sensitive or dual-use products, where responsible deployment is central to the story - Existing relationships in the security community: CISO networks, analysts, industry groups, and event organizers - Experience marketing to regulated industries or public sector buyers, where security review shapes the deal - Experience working with security technology partners, managed security service providers (MSSPs), or global systems integrators The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $400,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're seeking a strategic communications professional to join our team and drive messaging for Anthropic’s Safeguards (Trust & Safety) work, with a focus on making these critical topics accessible and meaningful for everyday users. In this role, you'll craft compelling narratives that resonate with media, policymakers, researchers, and the broader public that help differentiate Anthropic’s approach to building responsible AI. The ideal candidate is highly skilled and a creative storyteller with strong proactive and reactive muscle. This role will require working with technical teams to distill complex, technical information into engaging campaigns and editorial that resonate broadly. They should be able to move fast, think critically, and work collaboratively with a wide range of teams on complex issues. This is a unique opportunity to shape how one of the world's leading AI companies communicates about safety and responsible development of AI systems at a crucial moment in the industry. Responsibilities - Develop and execute communication strategies that explain the work Anthropic’s Safeguards team is doing, with a particular emphasis on helping everyday users understand our safety measures - Effectively plan for and manage crisis communications and provide counsel to a wide range of stakeholders on potential issues and risks - Own the comms strategy for Anthropic’s product safety work including new model launches, product features alongside harm areas like child safety, well-being, and mental health - Lead cross-functional communications projects that align that align safeguards, research, product, policy, and legal teams around shared messaging and campaigns - Craft messaging for major company announcements and milestones that resonates with both technical and non-technical audiences - Build strong relationships with journalists and relevant influencers. - Oversee executive interviews and speaking engagements. You May Be a Good Fit If You - Have 8+ years of experience working in communications, ideally at a high-growth technology company with consumer facing products. - Have a strong record of building proactive communications campaigns that resonate with a diverse range of audiences. - Excel at translating complex technical language into compelling messaging that connects with everyday users and are a superb written and verbal communicator. - Are excellent at media relations and issues management. - Have experience working with research teams and enjoy working cross-functionally with a range of technical and non-technical teams. - Want to be part of a fast-paced, small, experienced, and impactful team. - Are excited to translate insights about AI for broader audiences. - Are results-oriented, with a bias toward flexibility and impact. - Care about ensuring that transformative AI systems are developed safely. Strong Candidates May Also Have - Experience working in AI, technology policy, trust and safety comms, user safety or research-driven environments - Background working with technical teams including researchers, engineers, or product developers - Track record of crisis communications or managing sensitive issues in the public eye - Experience communicating about emerging technologies or controversial technical topics - Understanding of the AI safety, security, or responsible technology ecosystem The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 - $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Endpoint team (Client Platform Engineering) manages the devices Anthropic’s people work on, plus the infrastructure underneath them. We treat the fleet as a distributed platform, not a collection of devices, and configuration ships as code through pull requests, CI, staging, and a canary group. Today the fleet is mostly macOS, with a growing mobile footprint. Anthropic also works with vendor and business process outsourcing (BPO) partners whose teams need access to Anthropic systems. Those programs are growing, in more countries and with more vendors. Anthropic-owned Chromebooks issued to vendor staff are becoming the default device for vendor teams. This role exists to make ChromeOS a supported platform with a dedicated owner. You will own ChromeOS end to end, from how devices are bought and enrolled to how they are locked down, monitored, and retired, and help bring Android in as a second platform. The team is deliberately lean and runs with high autonomy. You’ll define what ChromeOS looks like at Anthropic and own the platform decisions that get it there. Responsibilities - Own ChromeOS as a platform at Anthropic: device standards, Google Admin console and Chrome Enterprise setup, organizational unit design, and policy - Manage ChromeOS policy as code through the Chrome Policy API, GAM, and Terraform, in the team's config-as-code pipeline, so changes are reviewed, tested, and progressively rolled out like the rest of the fleet - Build zero touch enrollment through resellers, so a Chromebook arrives enrolled and works the first time in every country our vendor partners work from - Work with IT Operations and procurement partners on buying and shipping devices internationally, including regions our current partners don’t reach - Design device models for vendor teams (kiosk, managed guest sessions, shared devices, and assigned devices) and pick the right one for each program - Lock devices down to what the work needs: copy and paste, downloads, printing, USB, and app and extension controls - Own the device lifecycle for vendor fleets, from enrollment to wipe, lock, and retrieval when an engagement ends - Feed ChromeOS device data into our fleet telemetry, tracking which devices are checking in, OS version, and drift between expected and actual state - Partner with Corporate Security on hardware standards (such as Verified Access attestation and minimum AUE date), device trust signals, and access decisions - Work with Security on the contractor access model and on keeping Anthropic data off vendor devices - Run data loss controls through Chrome Enterprise Premium - Work with Security on the vendor identity model: which accounts vendor staff use and in which tenant - Support Android as a second platform, working with the corporate mobile program on Android Enterprise and zero-touch enrollment - Write the runbooks IT Operations and vendor partners use to stand up a new program You may be a good fit if you - Have owned ChromeOS as a platform for a fleet of thousands of devices - Know the Google Admin console and Chrome Enterprise well: OU design, device and user policy, enrollment, and reporting - Have automated ChromeOS policy through the Chrome Policy API or GAM - Have run kiosk, managed guest, or shared device programs for frontline, contact center, or outsourced teams - Have set up zero touch enrollment with resellers and shipped devices across several countries - Have worked with Android device management and can hold your own in a mixed fleet - Excel at ambiguous problems that touch several teams at once - Communicate technical concepts clearly to any audience, including vendor partners - View IT Engineering as requiring product engineering rigor - Write clear documentation as a natural part of your workflow Strong candidates may also - Manage device configuration as code (pull requests, CI, staged rollout) instead of clicking in consoles - Have managed ChromeOS alongside macOS or mobile fleets - Have used VDI or browser-based access to keep data off the device for outsourced teams - Have supported BPO or vendor programs through fast growth into new regions - Have built automated, progressive rollout systems with promotion gated on telemetry - Have used LLMs to automate operational work, or are excited to make Claude a teammate Technical Skills - Python and shell scripting - ChromeOS management through the Google Admin console and Chrome Enterprise - Google Admin SDK, Chrome Policy API, and GAM for automating policy and reporting - Android Enterprise management (working knowledge) - Querying live device state at fleet scale - GitOps and CI for configuration management - Endpoint security fundamentals Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $325,000 - $360,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. The Role As a Product Manager, Growth, you're going to play a critical role driving growth and adoption for our product portfolio. You will improve how developers discover our platform, reach a successful model call, come back, and expand. The surface areas include inference, training, nexus, and the product around them: signup, docs, API and playground flows, model choice, errors, pricing, and the path from first request to a workflow someone relies on. Responsibilities - Build and run a roadmap across acquisition, activation, retention, and monetization. Choose the few bets that change adoption, and leave the rest. - Take features from ideas through launch across the product suite. Own the developer moments that decide whether someone succeeds: time to first working request, a useful error, docs that match the product, a default model that is the right one, and a reason to come back. - Analyze product metrics and use behavior to identify gaps and validate fixes - Work across engineers, marketing, design, and product to drive broad cross functional execution - Spend time with developers. Learn how they actually build, including auth, model choice, latency, cost, evals, and the first time a call fails. Bring that context back in a form the team can build from. - Drive execution across engineering, design, marketing, and product so growth shows up in the product, not in a side project. Experience - Strong analytical skills, with hands-on experience in A/B testing and funnel optimization - Excellent written and verbal communication, and a track record of aligning engineers, designers, and go-to-market partners around a shared plan - Thrives in ambiguous, extremely fast-paced environments, and can turn incomplete information into a clear next step - Technical background, including Bachelor/Masters degree in CS Preferred Qualifications - 6+ years of product management experience, with the majority in developer experience or growth PM roles - Experience shipping on widely used products, with a bonus for consumption-based products - Experience building PLG and self-serve inside a business that also runs a sales-led motion Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

About Scale Scale builds AI systems for decisions that matter. We started out providing the data and evaluation behind many of the world's leading models, and we still work with the major frontier labs on research and post-training. Today we also build full applications: we take an organisation's own data and expertise, forward deploy alongside their teams, and build the systems they come to rely on, powered by the Scale GenAI Platform. The Role Defence is under pressure to adopt AI at pace. The 2025 Strategic Defence Review and the Defence AI Strategy push for AI to move from experiment to operational capability, Defence Digital and UK Strategic Command are driving digital and data programmes across the department, and the enabling organisations are being asked to field reliable systems, not pilots. Scale wants to play a foundational role in building the dependable AI applications that shift depends on. We're looking for someone to lead that work across UK defence and the national security community. You'd own our commercial relationships across the Ministry of Defence and its enabling organisations - Defence Digital, UK Strategic Command, DE&S, and Dstl - and the broader defence and security customer base. This is a critical role reporting directly to our Head of Public Sector, UK. You'd carry a number, win deals yourself, and build a small team behind you as the work grows. It suits someone who has sold into defence before and knows how it actually makes decisions, not just how the org charts look. What you'll do - Own our commercial plan and pipeline for UK defence and security - Find, shape, and close deals yourself, from the first conversation through to contract and into delivery - Use the relationships you already have across the MOD, Defence Digital, UK Strategic Command, DE&S, Dstl, and the security and intelligence community - Work the defence routes to market, and know which are worth the effort and which aren't (the Defence Sourcing Portal, DASA, JOSCAR registration, single-source arrangements, and the main CCS frameworks) - Be a credible counterpart to senior military and civil service leaders, and turn what they need into work we can actually deliver - Navigate the security clearance, accreditation, and information-handling requirements that come with defence work - Stay close to our product and delivery teams so what we sell is what we build - Hire and lead a small team over time, and help shape the wider UK public sector plan as a team with the Central Government Lead and Public Sector leader. What we're looking for - You've sold and delivered AI technology or transformation work into UK defence or national security, either from a vendor or SI or from inside the MOD or the Armed Forces - You know at least one part of defence well (MOD, UK Strategic Command, DE&S, Dstl, or a single Service) and how it buys - You’ve rolled up your sleeves and built something from scratch, whether that’s a new vertical, territory or product launch - You understand defence and public sector procurement: frameworks, tenders, single-source rules, and buying that runs through a lot of stakeholders - You've opened doors, run complex pursuits, and owned the result - You have relationships with senior people in defence - You hold, or are eligible to obtain, UK security clearance (SC as a minimum; DV desirable) - You do your best work when things are ambiguous and moving quickly People who tend to fit this have spent years leading UK defence work at companies like Palantir, Anduril, BAE Systems, QinetiQ, Leidos or Babcock, at consultancies and systems integrators like Accenture, Deloitte, EY or PA Consulting, or in senior commercial or programme roles inside the MOD, DE&S, or the Armed Forces. Nice to have - Experience with AI or data-heavy platforms - Regulated, mission-critical, or classified government programmes - You've built or run a small commercial team before Why join You'd be building this market, not maintaining it. There's no playbook to inherit, which is rather the point. The deals you win, and the way you win them, will shape how Scale works with UK defence for years. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role AI is changing what security teams can do. Claude can find and help fix vulnerabilities in code at a pace that wasn't possible a year ago, and we want defenders to have that advantage first. As Manager, Cybersecurity Sales Specialists, you'll build and lead the team of cybersecurity specialists who sell to security teams across our Americas business units, including financial services, healthcare and life sciences, and technology. Your team partners with the Account Executives in each industry to lead the security strategy and the security deal with CISOs. You'll help shape how Anthropic sells security: how your team covers the business units, how it works with the Account Executive and Applied AI organizations, and how what we learn from customers shapes what we build. The work matters to our mission: a safe transition through transformative AI depends on the people who defend critical systems being able to use it well, and this team is how we get it into their hands. Responsibilities - Hire, onboard and develop a high-performing team of cybersecurity sales specialists - Own your team's forecast, pipeline health and results across the business units you cover - Set your team's coverage model, and agree on clear rules of engagement with the sales leaders who own each industry and with Applied AI leadership on discovery, proofs of concept and architecture - Build a pipeline engine with the Account Executives, across their existing accounts and through outbound to security leaders, events and partners - Coach your team through complex deals that lead with the customer's problem (finding and fixing vulnerabilities, application security, security operations, and deploying AI agents securely), and act as executive sponsor with CISOs on the most important ones - Make security reviews, verification for security use cases, and procurement a repeatable path rather than a deal-by-deal effort - Scale enablement so Account Executives across every business unit can spot and qualify security opportunities - Bring what your team hears from security customers to sales leadership and to our product, safeguards and marketing teams, and turn it into input on the roadmap - Run a healthy team: clear expectations, regular feedback, and performance and development conversations Minimum Qualifications - Experience building and leading a cybersecurity sales team that carried a number, whether direct, specialist or overlay, including hiring, coaching and managing performance - Track record of closing complex, multi-stakeholder enterprise deals where the security organization was the buyer or the deciding approver, and of coaching others to do the same - Fluency in how security teams work, built by selling directly to CISOs, application security leads and security engineers - Depth in at least one security domain, such as application security, vulnerability management, security operations, cloud, data, identity or endpoint security - History of building a business before there was an established approach, through outbound and partners rather than inherited accounts - Ability to lead through influence as well as authority, so that Account Executives and their leaders bring your team in because it helps them win - Consultative approach to selling and coaching: understanding the problem before proposing anything, and being honest about what a product can't do - Commitment to making AI systems safe and beneficial Preferred Qualifications - Background selling security in one of the industries we cover, and an understanding of how security is bought and regulated there - Experience managing managers and individual contributors, or scaling a sales team through fast growth - Experience leading teams selling AI, developer or data platform products to technical buyers - Time spent as a security practitioner or sales engineer before moving into sales leadership The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $450,000 - $550,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Our mission Shape the engineering foundations of Mistral AI’s next generation of compute capacity while improving the resilience of the infrastructure already in service. This role combines technical design leadership with field reliability engineering: you will establish demanding, practical requirements for colocation power and cooling, scrutinize proposed solutions and turn operating experience into better designs, safer changes and more reliable AI capacity. Operating context & accountability Mistral deploys high-density AI infrastructure in colocation facilities, where partners operate the underlying critical plant. You will be Mistral’s technical counterpart to providers, designers, commissioning specialists and internal IT and capacity teams. The position combines forward-looking design authority with hands-on technical investigation and portfolio reliability improvement. It requires depth in one core engineering discipline and the judgment to lead multidisciplinary decisions with specialist support. Key responsibilities — design and technical standards - Own and continuously improve Mistral’s technical design criteria and colocation requirements for new facilities, expansions and retrofits, including availability objectives, failure domains, maintainability and operational flexibility. - Translate GPU platform roadmaps into measurable facility envelopes: IT load and transients, rack density, electrical topology, redundancy, cooling capacity, supply/return temperatures, flow, pressure, water quality and monitoring. - Review utility and MV/LV arrangements, transformers, generators, UPS, switchgear, busway, protection coordination, earthing, power quality and metering for suitability under demanding AI loads. - Review mechanical and controls architecture, including chilled-water and heat-rejection systems, pumps, control sequences, CDU integration, leak detection, filtration, water treatment and cooling recovery scenarios. - Lead multidisciplinary reviews of single-line diagrams, P&IDs, sequences of operation, design calculations, capacity models, failure-mode studies and proposed deviations; document risks and decisions. - Participate in site selection, technical due diligence, provider RFPs, design milestones and commercial technical schedules, challenging assumptions before they become delivery constraints. - Define design review and exception processes that balance performance, resilience, deployment speed, efficiency, capital cost and long-term operability. Key responsibilities — commissioning and delivery assurance - Partner with delivery and commissioning teams to define functional and integrated testing requirements, acceptance criteria, evidence packages and outstanding-defect management. - Validate that electrical and cooling infrastructure can support the contracted AI load envelope under normal, maintenance and credible fault conditions. - Review test scripts and results for loss of utility, UPS/generator transitions, cooling component failures, controls faults, CDU interface events and staged restoration where applicable. - Ensure operational handover includes accurate drawings, asset and interface registers, monitoring points, setpoints, maintenance constraints, emergency procedures and unresolved risk ownership. - Support live-site changes and capacity upgrades with a disciplined review of impact, sequencing, rollback plans and operational readiness. Key responsibilities — field reliability and root-cause analysis - Act as a technical escalation point for recurring or high-impact electrical, mechanical and controls incidents across operational colocation sites. - Analyze alarms, BMS/EPMS trends, event sequences, power-quality records, cooling telemetry, commissioning findings and maintenance evidence to distinguish symptoms from systemic causes. - Lead or challenge technical root-cause investigations with colocation partners, including common-mode failures, protection miscoordination, thermal instability, control logic, hydraulic performance and hidden capacity limitations. - Develop risk-ranked corrective actions and reliability improvement programs; validate effectiveness through evidence and post-change monitoring. - Identify fleet-wide patterns and feed lessons learned into reference designs, acceptance tests, technical specifications and provider governance. - Review maintenance and change proposals that create material exposure to compute availability, providing clear technical recommendations and escalation where required. Key responsibilities — collaboration and leadership - Work with IT hardware, network and platform teams to understand the operational consequences of rack-level and cluster-level failure domains. - Influence colocation providers, consultants and OEM partners through technically rigorous, fact-based reviews without relying on direct operational authority. - Present design trade-offs, reliability risks and investment recommendations in language accessible to engineering leadership and business stakeholders. - Develop reusable standards, technical playbooks and engineering knowledge sharing to support consistent decisions across a rapidly expanding portfolio. What success looks like - New capacity is accepted against well-defined electrical, thermal and resilience criteria with transparent technical exceptions. - Design risks are identified early, reducing late changes, stranded capacity and avoidable operational constraints. - Repeat incidents and unresolved critical engineering defects decrease as corrective actions are verified. - Field experience produces measurable improvements to future designs and live-site operating resilience. Minimum qualifications - At least 8 years in mission-critical data center design, engineering, commissioning or technical reliability, including responsibility for complex technical decisions. - Degree in electrical or mechanical engineering, or equivalent professional experience, with deep knowledge in one discipline and strong working knowledge of the other. - Demonstrated expertise in critical power and cooling architecture, redundancy, failure-mode analysis and operational risk management. - Experience reviewing engineering drawings, calculations, commissioning evidence and root-cause analyses, and coordinating technical specialists. - Ability to influence colocation providers and cross-functional stakeholders; excellent English communication and willingness to travel. Preferred qualifications - Experience with AI/HPC infrastructure, high-density accelerator platforms and direct-to-chip liquid cooling. - Knowledge of CDUs, facility-to-technology cooling interfaces, hydraulic performance, cooling-water quality and leak management. - Experience with electrical protection/selectivity, power quality, controls sequences, integrated systems testing and BMS/EPMS analytics. - Experience creating technical standards across multiple sites or providers, including design deviations and fleet-wide reliability improvements. - Professional engineering registration or equivalent technical credentials. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires effective engagement with public policy stakeholders and the broader community impacted by AI. Accordingly, our Global Affairs team builds authentic, collaborative relationships with public officials and the broader AI policymaking community to inform and support our shared work in these domains. We ensure that insights from policymakers inform our work and – in collaboration with our colleagues and external stakeholders – seek to shape policy so that it aligns with and supports our mission. About the role OpenAI is looking for an Applied Risk Standards Architect to lead standards work for applied risk in applications, including mental health, youth safety, age assurance, functional efficacy, reliability, and privacy-related risks. You will help turn internal research, safety policies, and evaluation methods into technically sound, measurable, and adaptable standards that build public trust and support responsible deployment. This role sits within our AI standards and global assurance function in Global Affairs. Working closely with Safety Systems, Research, Product, Model Policy, Legal, and third-party evaluators, you will author proposals, negotiate requirements, and represent OpenAI in priority standards bodies. You will take on the drafting and external engagement needed to advance this work, enabling technical experts to focus on the underlying methods and evidence. You will also bring emerging requirements back into internal planning before they become established expectations. Alongside this primary portfolio, you will support the AI Standards and Global Assurance Lead on frontier AI assurance, contributing to risk-management standards, evaluation and benchmarking requirements, and approaches to independent assessment. The role connects technical practice with external standards. It does not replace the teams responsible for evaluation methods, safety decisions, controls, internal compliance, or implementation. You will own standards drafting, review coordination, negotiation, and assessment-design contributions within an agreed mandate. In this role, you will - Lead the development of applied AI risk standards. This includes working with technical and policy teams to define and advance standards for mental health, youth safety, age assurance, efficacy, reliability, and privacy-related risks, with a particular focus on evaluations and assessments. - Work with technical owners to turn research, internal policies, and evaluation methods into credible test methods, assessment criteria, and standards grounded in real system behavior. - Bring emerging requirements into internal planning and work with responsible teams to clarify their implications for evaluations, controls, and assurance for our products. - Work with technical and GRC partners on assessor competence, independence, conflicts of interest, evidence access, reporting, and the distinction between management-system audits and technical evaluations. - Contribute drafting, representation, and coordination on frontier risk-management and independent-assessment standards. - Lead assigned standards-body workstreams, negotiate proposals, and coordinate internal input, reducing the external engagement burden on technical experts. Contribute to relevant ISO/IEC, INCITS, NIST consortium, and cross-industry work. - Maintain clear approvals, negotiating positions, contribution records, and implementation handoffs so that external commitments remain connected to technical owners and available capacity. You might thrive in this role if you - Have technical depth in evaluation science, AI evaluations and red teaming, AI safety, or trust and safety, combined with demonstrated ability to translate that expertise into credible standards or assessment methods. - Have authored or materially shaped standards, evaluation criteria, control frameworks, or normative technical contributions—not only coordinated participation. - Can translate a broad safety objective into a clear requirement and explain what evidence would demonstrate that it has been met. - Understand the differences among organizational risk-management processes, model and system evaluations, mitigation testing, and broader assurance claims. - Can evaluate sensitive, context-dependent outcomes, including uncertainty and variation across users and use cases, without overstating what a benchmark or assessment can establish. You do not need to be an expert in every risk domain. - Understand how assessor competence, independence, incentives, and access affect the credibility of an assessment. - Can build consensus without sacrificing technical rigor, and know when to compromise, challenge a proposal, or escalate a decision. - Earn trust with technical teams while communicating clearly with lawyers, executives, policymakers, and external standards participants. - Write precisely, exercise discretion, and can independently move a defined workstream from initial proposal through review, negotiation, and handoff. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Senior Manager, M&A Finance Integration to run the finance function's role in each transaction, from LOI through Day 1 readiness and post-close execution, and to own the program management of Anthropic's growing legal entity footprint. This is a build-and-run opportunity. Reporting to the Director, M&A Finance Integration, you will be the day-to-day operator of the M&A Finance Integration program: you will scope and drive the finance integration plan for each deal, coordinate finance workstreams alongside Corporate Development, Legal, and People, and be the connective tissue between deal teams and the functions that execute. You will also own the end-to-end legal entity lifecycle (setup, migration, and wind-down) for acquired entities and newly formed subsidiaries, and turn what we learn from every deal and legal entity set up into a maintained playbook and template library. The ideal candidate has operated in a similar function at a high-growth technology company, brings enough accounting fluency to know when a closing spreadsheet or entity plan looks wrong, and thrives on building rigorous, repeatable processes while deals are live. Key responsibilities Deal Integration Planning & Execution - Scope and own the finance integration plan for each transaction across every phase, from LOI and due diligence through signing, sign-to-close, and Day 90, spanning finance functions - Tailor the plan to the integration model (full integration vs. standalone subsidiary) and define each function's baseline activities and standalone-specific deltas - Ensure every function is engaged at the right phase, with clear owners, dependencies, and escalation paths - Run the integration operating rhythm: workstream check-ins, issue logs, risk registers, RACI matrices, decision logs, and status reporting to finance leadership - Negotiate deliverables and trade-offs directly with functional leads; escalate to the Director with a recommendation when priorities conflict Day 1 Readiness & Post-Close Execution - Drive Finance Day 1 readiness: bank account control and signers, payroll cutover, AP/AR continuity, ERP entity, cost-center and project-code setup, chart-of-accounts mapping, and expense policy communication - Run the Day 1 checklist and 30/60/90-day follow-through, ensuring acquired entities are onboarded without disruption to the close cycle - Coordinate the closing spreadsheet, net working capital mechanics, and post-close true-up with Corporate Development, Legal and Technical Accounting - Serve as a primary finance point of contact for the target's finance team and Corporate Development's integration lead during transition - Scope, track, and manage external advisor engagements and unblock issues as they arise Stakeholder Management & Communication - Act as a credible counterpart to Corporate Development, finance functional leads, and target finance leadership on integration substance - Communicate integration and entity status to leadership through clear dashboards and written briefings - Mentor team members and contractors as the function grows - Handle confidential deal information with discipline Legal Entity Lifecycle Program Management - Build and run the end-to-end entity setup process: decision documentation, incorporation, tax registrations, banking, ERP entity creation, functional-currency assessment, payroll or employer-of-record bridge, and statutory / compliance calendar onboarding, with a named owner for each step across US and international entities - Own the entity wind-down process, including customer and vendor off-boarding, final payroll and employee transfers, account closure, intercompany settlement, and final statutory filings, in partnership with Legal, Tax, and the involved finance functions - Design and maintain a single entity tracker with per-entity, per-workstream implications and status, aligned with adjacent entity programs (e.g., infrastructure and special-purpose entities) so they share one backbone Playbook, Templates & Infrastructure - Build and own the Legal Entity Playbook: a repeatable, end-to-end framework covering entity formation, migration, and wind-down for acquired entities and newly formed subsidiaries in the US and internationally - Own and maintain sections of the modular M&A Finance Integration Playbook: per-function deliverables by phase, standard operating procedures, and the template library - Lead post-deal retrospectives and drive the resulting changes into the playbook and templates - Identify and implement tooling and automation, including AI-assisted solutions, for recurring program work such as status synthesis, tracker updates, escalations and draft communications Minimum qualifications - Demonstrated end-to-end ownership of at least two finance integration projects or entity set up projects, from planning through post-close execution, including project plan ownership and executive reporting - Working accounting fluency across the areas your stakeholders own: the close calendar, chart of accounts, intercompany, statutory reporting, purchase accounting fundamentals, and the finance implications of common deal structures (asset vs. stock, acquihire vs. strategic, full integration vs. standalone) - Strong program-management capability: comfortable scoping ambiguous work, owning multiple parallel workstreams, and managing to milestones without extensive oversight - Experience with ERP systems (NetSuite, Oracle, SAP, or equivalent) in an acquisition and migration context - Cross-functional credibility with Legal, Tax, People, Corporate Development, and Finance sub-functions, and the ability to drive outcomes across competing timelines and risk tolerances - Comfort operating under deal-environment time pressure and confidentiality, with sound judgment when processes are being defined in real time - Excellent written and verbal communication, with the ability to distill complex operational issues into clear, decision-ready briefings Preferred qualifications - 10+ years in finance, accounting, or finance operations, with at least 3 years running cross-functional programs at a high-growth technology company, with a focus in M&A integration or legal entity programs - Have built or significantly contributed to a finance integration playbook, template library, or integration management office infrastructure from scratch - Bring international entity experience: new-jurisdiction setup, statutory audit and local GAAP obligations, employer-of-record bridges, transfer pricing and intercompany agreements - Have worked with standalone-subsidiary integration models, consolidation bridges, and equity-method investments - Be an active user of AI tools in their own workflow and excited to push program management toward automation - Hold a CPA, ACA, ACCA, or CA qualification - Be genuinely excited about AI safety and aligned with Anthropic's mission to build reliable, interpretable, and steerable AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 - $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About the Team OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. OpenAI’s Payroll team is responsible for ensuring timely, accurate, and compliant payroll processing while supporting the company’s growth and strategic initiatives. About the Role At OpenAI, payroll is not a back-office function — it is mission-critical infrastructure. We are seeking a Payroll Initiatives Lead with broad, end-to-end payroll experience to scale the payroll ecosystem in support of one of the world’s fastest-growing and most technically sophisticated organizations. This role will apply that expertise to high-value processes, strategic initiatives, and complex business needs beyond day-to-day payroll processing. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Lead payroll integrations for global M&A transactions, coordinating payroll activities from transition planning through stabilization. - Partner with acquired companies to complete final payrolls accurately and on time, including equity, variable compensation, final pay, and other deal-related payments. - Integrate acquired employees into OpenAI’s payroll systems, processes, controls, and service model while maintaining continuity of pay. - Oversee the closure of legacy payroll systems and ensure accurate, compliant year-end processing and reporting. - Develop and improve global payment-processing capabilities that support employees across multiple countries and payment types. - Lead global payroll system and provider integrations, ensuring data integrity and effective upstream and downstream connections. - Partner across Payroll, Finance, Tax, Legal, People, Equity, and other teams to deliver strategic initiatives and resolve complex operational challenges. - Identify risks, strengthen controls, and automate repeatable processes that enable payroll operations to scale with the company. You might thrive in this role if you have: - 8+ years of progressive experience in payroll operations, preferably in a fast-paced or high-growth environment. - Strong working knowledge of global payroll regulations and standard best practices. - Experience leading M&A payroll integrations. - Hands-on experience with Workday Payroll or other large HCM/global payroll systems; Broad systems experience is a plus. - Ability to independently manage priorities, take ownership of outcomes, and deliver high-quality work under tight deadlines. - Strong analytical and problem-solving skills with excellent attention to detail. - Clear and concise communication skills, with the ability to partner effectively with internal and external stakeholders. - Bachelor's degree in Finance, Accounting, HR, or a related field, or equivalent practical experience. CPP certification is a plus. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. To succeed in this position you must be fully bilingual—fluent in both Japanese and English (spoken and written). Please note that your resume must be submitted in English , and the interview process will include conversations in both languages. Note: each person in this role will be expected to work a standard 5x8 work week, with 1 of the days covering weekend shifts each week (e.g., work weeks covering Tuesday - Saturday or Sunday - Thursday) You’ll be responsible for: - Working directly with customers to troubleshoot and resolve their most complex technical issues, including API failures, integration challenges, authentication errors, and production incidents. Providing end-to-end ownership through debugging logs, analyzing system behavior, reproducing issues, and delivering expert guidance. - Becoming a trusted expert on OpenAI’s products and platform, serving as a go-to resource for complex technical issues. - Serving as a critical escalation point and line of defense for complex technical issues, partnering closely with customers and Engineering teams to troubleshoot, resolve, and proactively prevent recurring problems while leveraging scripting and emerging AI capabilities to improve internal tooling and automate operational workflows - Taking learnings from resolving customer issues and creating our approach to scaling these solutions, partnering with Product and Go-To-Market teams. - Driving operational excellence by identifying opportunities for automation and AI-powered workflows, implementing scalable improvements that increase team efficiency, reducing manual effort, and elevating the overall support experience. - Providing occasional holiday and weekend support on call coverage, as needed, to support business and customer needs. You might thrive in this role if you have: - Have 8+ years of experience in User Operations, Engineering, Support Engineering or similar technical roles, ideally within high-growth tech startups or other fast-paced environments. - Are comfortable using emerging technologies (ie. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python) for automating repetitive tasks and integrating tools. - Have expert-level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts. - Polished enterprise communication and are calm with high-stakes customers during live incident calls - Proven experience building strong relationships with customers and cross-functional partners to drive resolution to complex issues. - Exceptional critical thinker and problem solver with the ability to clearly communicate complex technical issues to both customers and internal teams. - Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth. - Bring a humble, team first mindset, a genuine eagerness to help others, and the curiosity to quickly learn whatever knowledge is needed to help both your teammates and our customers succeed. - Bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Perplexity is scaling at a pace few companies experience, and the Communications and Marketing team is growing with it. We're hiring a Business Operations Manager to build and run the operating system underneath, so an incredibly busy team can move fast and stay in lockstep. That means keeping the wheels turning: the tool stack, agencies and vendors, budgets, contracts, and the dashboards leadership relies on. It also means building what doesn't exist yet, and making sure everyone knows what's happening and nothing gets dropped. Half builder, half connective tissue. If you like turning ideas into things people use every day, this role is for you. What you'll do - Own the marketing and comms tool stack: evaluate, procure, onboard, provision access, train the team, and retire what we've outgrown - Build and maintain internal tools such as calendars, intake forms, dashboards, trackers, and automations, and keep them reliable as more people depend on them - Run the team's operating rhythm: priorities, launch and campaign calendars, planning cycles, and the cross-functional handoffs that carry work from idea to launch without dropped threads - Manage agencies, contractors, and vendors from selection and onboarding through scopes, invoices, renewals, and performance - Keep contracts and procurement moving with Legal and Finance so agreements never become the bottleneck - Be the connective tissue across the team: know who's working on what, spot dependencies early, and keep people aligned without adding meetings - Act as a thought partner and triage point to leadership: keep them informed, spot problems early, know when to escalate, propose solutions, and see them through - Add rigor without slowing anyone down, knowing the difference between process that helps and process that's overhead What you bring - 4-7 years in marketing operations, business operations, or a similar systems-and-process role, ideally in a fast-growing technology company - You build things. You've stood up tools, automations, or dashboards yourself, and AI tools are already part of how you work - Strong analytical instincts, able to turn messy inputs into numbers leadership can trust - Experience managing agency, contractor, or vendor relationships and working with Legal and Finance on contracts and procurement - Exceptionally organized and genuinely relational. People like working with you, tell you things early, and trust you with what's really going on - A clear, direct communicator who can brief an executive, run a cross-functional meeting, and write a process doc people actually follow - Demonstrated experience working closely with and as a trusted partner to senior executives - Comfortable in ambiguity and thinks in scale, building things that hold up when the team, budget, or number of launches doubles - No specific tool stack required. You've operated marketing or comms systems in a high-growth environment and can pick ours up fast

Your work will change lives. Including your own. The Impact You'll Make Recursion is seeking an Executive Director of Chemical Biology to develop and lead chemical biology efforts that bridge multiomic discovery with target ID, including chemical probe design, as we expand our platform into new modalities beyond traditional small molecules (e.g. targeted protein degradation, molecular glues, and other emerging modalities). This is a senior scientific leadership role responsible for setting chemical biology strategy, managing a team of designers, and driving programs that bridge multiomic discovery to target ID and designing our chemical probe library to facilitate target discovery. . You will lead multidisciplinary project teams: partnering closely internally with biology, multiomics platform (high content imaging, RNA etc), computational biologists and data scientists to translate novel target and ligand insights into potent, selective, and developable chemical matter. You'll bring hands-on chemical biology expertise together with the strategic judgment to prioritize programs, manage internal and external (CRO) teams, and build the new capabilities needed to establish new modalities within the portfolio. Recursion's AI/ML-driven Design Platform is a core tool your team will draw on, and you'll play an active role in shaping how computational and generative design approaches are integrated into chemical biology decision-making. This role blends deep technical credibility with people and program leadership. The Team You'll Join You will lead within the Drug Design team as part of the Discovery function in building Recursion's next generation of therapeutic modalities, working alongside computational drug design, medicinal chemistry, biology, data science and platform technology groups that integrate proprietary AI-driven technology with advanced molecular design. The team tackles structurally enabled and non-structurally enabled targets across a diverse range of therapeutic areas, with a growing focus on proximity (e.g. protein degradation, molecular glues), and PPI blockers (e.g. macrocycles). As a leader, you will help define how chemical biology strategy and capability is built out and scaled to impact our portfolio. In This Role, You Will: - Set chemical biology strategy for Recursion based on our multiomics platform, with a focus on linking our proprietary maps of biology to targets using modern chemical biology methods and work with teams to establish the right drug modalities (e.g. degraders, molecular glues) alongside traditional small molecule work - Build, manage, and mentor a team of multiomics chemists, fostering a coaching-driven environment for growth - Establish and manage internal and external (CRO) chemistry teams and networks to execute screening, synthesis, and validation campaigns - Partner closely with biology, target ID teams, structural biology, and computational drug design to align chemical biology strategy with target validation and platform capabilities - Define and align program strategy and go/no-go criteria with senior leadership, factoring in competitive landscape and portfolio priorities - Represent the team in portfolio reviews and governance meetings, and lead technical discussions on molecular design with external collaborators and partners - Contribute to IP strategy and business development activities related to novel chemical matter and new modalities The Experience You'll Need - PhD in chemical biology, chemistry, or related field, with 10+ years of relevant industry experience and demonstrated people leadership - Deep, hands-on track record in chemical probe design — selective inhibitors, proximity approaches such as molecular glue degraders/PROTACs, covalent or activity-based/photoaffinity chemistry - Proven ability to deconvolute phenotypic hits to mechanism via chemoproteomics or equivalent target ID methods - Track record building and scaling a chemical biology function — hiring, mentoring, and developing multiple scientists/managers - Experience setting multi-year technical strategy (e.g. chemical library architecture, probe portfolio direction) rather than executing a single program's plan - Comfortable operating with high ambiguity — translating open biological questions into executable chemistry strategy without a pre-defined target - Executive-level communication: able to represent chemical biology strategy directly to C-suite/board and influence cross-functional senior leaders - Prior experience managing, mentoring, or leading chemists and cross-functional project teams, including internal/external (CRO) team management Nice to have - Direct experience with phenomics, high-content imaging (e.g., Cell Painting), or other image-based screening platforms - Familiarity with how AI/ML-derived phenotypic signatures inform compound prioritization or target nomination - External scientific visibility — publications, conference leadership, or partner/BD-facing technical credibility - Experience contributing to IP strategy or licensing diligence involving novel chemical matter Working Location & Compensation: We are open to candidates who are local or interested in moving to Salt Lake City, Utah ; employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: $237,600–$284,900 . In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-ES1 LI-REMOTE The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the Role We are seeking an experienced U.S. based Privacy Counsel to join our Legal Team. In this role, you will help shape and scale ElevenLabs’ global privacy program as the company continues to expand internationally. You will advise on privacy, data protection, and AI governance issues across our products and operations, while supporting commercial transactions involving data processing and technology services. You will work closely with Product, Engineering, Security, and GTM teams to provide practical, business-oriented guidance that enables innovation while ensuring compliance with evolving privacy and AI regulatory frameworks across multiple jurisdictions. Responsibilities - Advise on global privacy and data protection laws, including CCPA/CPRA, HIPAA, and other U.S. and international regulatory frameworks. - Advise on privacy and regulatory risks relating to AI systems, biometric data, voice technologies, and other sensitive data types. - Partner with Product and Engineering teams to implement privacy-by-design principles and support responsible development of AI products. - Conduct and oversee privacy risk assessments, including Data Protection Impact Assessments (DPIAs)and related documentation. - Support commercial transactions by advising on data protection terms, including Data Processing Addendums (DPAs), Business Associate Agreements (BAAs), cross-border data transfers, and privacy provisions in customer agreements. - Monitor and interpret evolving legal and regulatory developments relating to privacy, AI governance, and data use, and translate them into practical guidance for the business. - Help develop and maintain ElevenLabs’ privacy policies, procedures, and governance frameworks. - Support responses to privacy-related regulatory inquiries, audits, and incidents, working closely with Security and Safety teams. Who you are - Curious about the future of AI and emerging technologies, with a strong sense of ownership and enthusiasm for applying privacy law to cutting-edge products. - Comfortable navigating fast-paced, high-growth environments with evolving regulatory landscapes. - Able to translate complex legal requirements into clear, practical guidance for product and business teams. - Collaborative, pragmatic, and solutions-oriented, with a strong commitment to enabling innovation responsibly. What you bring - JD with active membership in at least one U.S. state bar (New York preferred). - 6+ years of relevant legal experience, with a focus on privacy compliance and data governance. - Experience advising AI, technology or SaaS companies on global privacy compliance and data governance. - Experience advising on US biometric privacy laws and regulatory requirements, including laws governing biometric identifiers and information. - Experience advising on HIPAA, healthcare privacy, PHI, and BAAs, particularly in connection with technology or SaaS products. - Experience advising on AI, data use, or emerging technology regulatory frameworks is a strong plus. - Familiarity with security and privacy frameworks such as SOC 2, ISO 27001, or similar. - Excellent communication, stakeholder management, and problem-solving skills. Location This role is remote and can be executed in the United States. We have a strong preference for the Eastern time zone, ideally New York. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As part of the Anthropic security department, the compliance team owns understanding security and AI safety expectations, as established by regulators, customers and (nascent) industry norms (which we also seek to influence). The compliance team uses this understanding to provide direction to internal partners on the priorities of security and safety requirements they must meet. The compliance team assures regulators and customers that those expectations are met by earning security credentials and responding to direct inquiry about Anthropics security program from auditors, customers and partners. This opportunity is unique, as we work to secure today’s most novel and valuable asset types, we must build a new kind of compliance program, assuring the safety of artificial intelligence capabilities. Key responsibilities - Understand how Anthropic's security and privacy capabilities across major cloud platforms implement common frameworks (e.g., NIST 800-53, NIST 800-171, ISO 27001, ISO 27701, CSA CCM, and SOC 2). - Build scalable data center and hyperscaler processes and documentation systems that will support future expansion to additional geographies and compliance frameworks. - Assess and mitigate security and operational risks, implementing corrective actions, and managing vendor compliance. - Coordinate engagements with independent assessors to earn security and privacy certifications and attestations important to Anthropic customers and enterprise partnerships, and to meet regulatory obligations. - Write, update and enact policies capturing security, privacy, and AI safety requirements. - Maintain and enhance Anthropic's system of security controls through audit readiness, recordkeeping, and cross-functional communication. Minimum qualifications - Have 8+ years of progressive experience in audit and compliance roles, with direct ownership of certification/attestation or security compliance implementation projects - Have worked in cloud-native environments and understand security and privacy considerations for multi-cloud and hybrid architectures - Can translate complex compliance requirements into actionable workstreams for technical and non-technical stakeholders - Have integrated with common controls frameworks or GRC systems that scaled with organizational growth - Write clear and useful security and privacy documentation for both external and internal audiences. - Thrive in ambiguous, fast-paced environments where you'll need to build processes from scratch - Are comfortable organizing time-bounded task management of delegated work streams across a diverse organization - Are energized by being the subject matter expert who educates the organization on new compliance requirements and auditors on current security practices Preferred qualifications - Have worked in AI/ML companies and understand unique security considerations for model development and deployment - Have worked with cloud companies and understand cloud security controls and physical security requirements - Bring experience from high-growth technology companies managing rapid compliance expansion - Have some experience implementing automated enforcement of security controls (i.e., compliance as code) - Possess relevant certifications (CISA, CRISC, CISM, CISSP, or ISO 27001 Lead Auditor/Implementer) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 - $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About the job We're looking for an experienced Global Mobility Lead to build and run the programs that help employees join, move, and work across borders. You will own our mobility policies, immigration casework, and vendor relationships, and partner with Legal, Finance, and People Ops to make cross-border moves clear, compliant, and well supported. What you’ll own Global mobility - Own the mobility policy suite end to end: relocation, permanent transfers, short-term and long-term international assignments, remote/cross-border work arrangements, and business travel thresholds. - Run individual mobility cases from scoping to landing: package design, cost estimates, immigration sequencing, tax and social-security implications, payroll setup, relocation logistics, and post-arrival support. - Manage employment-based immigration casework in partnership with outside counsel: H-1B (including cap-subject and change-of-employer/AC21 timing), L-1, TN, E-3, O-1, F-1 OPT/CPT, and employer-sponsored permanent residence. Own the internal timeline, the start-date reality check, and the manager/candidate communication. - Own daily immigration intake and case execution, including employer questionnaires, supporting documents, employment verification letters, signatures, counsel follow ups, and case closure. - Own right-to-work compliance across jurisdictions: I-9 and E-Verify in the US, Home Office share-code checks in the UK, and equivalent checks in our EU and other markets. - Decide and document the entity/employment model for each new market (direct entity, EOR, or non-resident payroll registration) with Finance and Legal. - Own our mobility vendor stack (immigration counsel, relocation, tax, EOR/global payroll): scope, SLAs, cost, and performance. - Model and track mobility cost, including sponsorship and premium-processing fees, so leadership can make go/no-go calls with real numbers, and obtain and document required approvals before committing sponsorship or spend Data and systems - Build the tracking layer: mobility case pipeline, immigration deadlines and expirations, compensation comparisons, etc. - Stand up mobility dashboards: case volume, cycle time, cost per move, band penetration, offer-to-band variance, and equity-gap trend. - Write the employee-facing documentation so moves and pay decisions are predictable and explainable, not one-off negotiations. What we’re looking for Required - 6+ years of experience in global mobility, with real ownership of cross-border moves and immigration casework, not just vendor hand-offs. - Working fluency in US employment-based immigration and at least one other major jurisdiction’s work-authorization regime (UK, EU, or Canada). - Strong analytical skills: comfortable in spreadsheets and HRIS reporting, able to build a defensible model and explain the assumptions behind it. - Judgment about risk. You know when to escalate to Legal, when to flag classification or permanent-establishment exposure, and how to say no clearly. - Excellent written communication: you’ll draft policies, verification letters, offer rationales, and executive-facing recommendations. - Comfort with ambiguity, high volume, and shifting priorities.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary As an Enterprise AE in our Canadian market, you will play a crucial role in driving Mistral’s adoption among large enterprise customers, with a particular focus on financial institutions and large enterprises across various industries. Based in Montreal, you will manage the entire sales cycle, from initial outreach to closing deals, collaborating closely with our dedicated implementation, tech, and legal teams. Your strategic vision and execution will be instrumental in establishing Mistral as a leading AI solutions provider in Canada. As this role covers Quebec, fluency in French is required to engage effectively with customers, partners, and stakeholders in the Quebec market. What You Will Do Lead Development (Strategic Outbound and Qualified Inbound): • Conduct strategic outreach and manage warm introductions to potential enterprise customers. • Convert inbound leads where there are opportunities for upselling or more bespoke agreements. Value Proposition Validation for Customers: • Provide hands-on support and guidance to clients during the Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process. • Leverage successful POC outcomes to convert them into long-term, revenue-generating contracts. Deal Management & Closing: • Develop and execute strategic sales plans to convert leads into valued customers. • Serve as the primary point of contact for all external stakeholders, managing deals and aligning all stakeholders, including customer engineering, product, and commercial teams. • Handle customer negotiations end-to-end, collaborating with our legal and implementation specialist teams. Executive Engagement: • Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI and other key decision makers within target organizations. • Understand their specific challenges and position Mistral's solutions as integral to their strategic initiatives. Technical Aptitude: • Demonstrate a deep understanding of our product's technical intricacies and articulate its value proposition effectively to potential clients. • Work closely with our implementation team to address customer questions, concerns, and challenges during pre-sales, deployment, and post-deployment phases. • Collaborate with our technical team to address any customer inquiries or concerns. Training and Enablement: • Empower internal teams with the knowledge and resources gathered from customer conversations to drive the product roadmap and align on priorities. What We're Looking For - 7-10 years of experience in enterprise sales or consultative selling, ideally with a highly complex, technical product. - Deep understanding of the Canadian market dynamics and enterprise landscape, including the Quebec business environment, with strong knowledge of the financial services sector. - Experience selling into financial institutions and other large regulated enterprises. - Experience of consultative selling of highly complex, technical products. - Bachelor's and/or Master's degree in Business, Computer Science, or a related field. - Significant work experience within the AI ecosystem or related data/infrastructure field. - Experience working at a successful, fast-growing startup, ideally in deep-tech. - Strong technical skills to navigate quickly evolving products and steer technical discussions. - Fluency in both French and English (written and verbal) is required for this role. - Outstanding negotiation and communication skills to build relationships and close deals effectively. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About the Team Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring that artificial intelligence benefits all of humanity. We help people understand what AI makes possible through the experiences of the people, communities, and customers using it. We work closely with Social, Community, Communications, Creative, Production, and other teams to bring those experiences to life. Our work connects human stories with integrated marketing programs that build understanding and inspiration with our key audience. About the Role We’re looking for an Integrated Marketing Manager to identify and curate the strongest proof points of AI’s impact—across people, communities, and society—and turn them into stories and programs that resonate. You’ll be a builder and storyteller with the curiosity to uncover an extraordinary story and the initiative to make something of it. You’ll seek out people using AI in meaningful ways, build relationships, understand what has changed for them, and help them share their experiences in their own voices. Working deeply with Social, Community, and Communications, you’ll shape stories together and build the programs, content, and distribution plans that help them travel. That could mean developing a recurring story series, bringing a community’s experience to a national audience, or turning a customer story into a program that invites others to participate. You’ll combine strong editorial instincts with integrated marketing leadership, taking work from discovery and a clear brief through production, launch, and measurement. The ideal candidate is equally comfortable shaping an ambitious idea, facilitating a conversation with a story participant, and organizing the people and resources needed to bring a program to life. In this role, you will: - Find the strongest proof points: Proactively discover people, communities, and customers using AI in meaningful ways. Evaluate the evidence, human significance, and audience relevance behind each opportunity. - Build alongside Social, Community, and Communications: Partner from the outset on story discovery, creative ideas, programming, and distribution. Align on a shared plan, clear roles, and the right moments to bring stories to audiences. - Turn stories into programs: Create integrated campaigns, recurring content series, community activations, and partnerships that give strong stories a life beyond a single asset or launch. - Connect national reach with local relevance: Adapt stories, formats, messengers, and programs to the audiences and communities they serve. Identify when a local story can resonate nationally and how a national program can become meaningful locally. - Lead work from idea to delivery: Own briefs, creative development, production, timelines, budgets, partner coordination, launch, and optimization across social, owned, earned, experiential, community, and relevant paid channels. - Champion craft and credibility: Partner with Creative, producers, and agencies to make distinctive, engaging content. Ground stories in demonstrated impact, bring technical ideas to life through human experiences, and represent participants accurately and thoughtfully. - Build a repeatable approach: Develop a network of internal and external partners and a practical process for sourcing, prioritizing, developing, and sharing stories. Create formats and programs that can grow while leaving room to act on unexpected opportunities. - Measure what resonates: Set clear goals for audience understanding, reach, engagement, sharing, and participation. Use results and feedback from audiences and participants to improve the stories, formats, and programs we build. You will thrive in this role if you have: - Relevant experience: 12+ years in integrated marketing, content or editorial strategy, customer storytelling, community marketing, or related fields, including significant experience leading complex campaigns and programs. - Strong story instincts: An ability to spot compelling people, experiences, and outcomes, assess what makes them credible and relevant, and shape a clear narrative for a specific audience. - An entrepreneurial mindset: A track record of building something from zero to 100, creating momentum through ambiguity, and moving between strategy and hands-on execution. - Integrated marketing leadership: Proven success connecting content, distribution, and audience participation across channels, with strong planning, production, budget, and project-management skills. - Creative and editorial judgment: Experience shaping briefs and developing work across formats such as video, social, written stories, and live experiences, with a high bar for quality and audience relevance. - Communication and influence: Strong writing, presentation, and facilitation skills, with the ability to make complex ideas clear, build alignment, and influence decisions at the executive level. - Deep cross-functional collaboration: A track record of building programs with Social, Community, Communications, Creative, and other partners, bringing different perspectives together around a shared objective. Preferred Qualifications - Experience telling stories about AI or emerging technology through concrete human experiences and demonstrated outcomes. - Experience building customer advocacy, community storytelling, or ambassador programs that surface compelling voices and encourage participation. - Experience with documentary, editorial, or other storytelling that involves working directly with participants, from initial interviews through production. - Experience developing local partnerships, events, or community programs and connecting them to broader campaigns. - Experience managing creative agencies, production partners, and campaign budgets, including scaling successful formats or programs. - Hands-on familiarity with AI tools and curiosity about how people use them to work, learn, create, and solve problems. Workplace & Location - San Francisco, CA. This role requires a hybrid schedule with an in office requirement from Monday - Wednesday. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role You will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: - Own the technical delivery plan for multiple interdependent work streams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria. - Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. - Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management. - Partner with Product and Research so platform components and research work streams land in time to support deployment goals. - Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models. - Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors. - Shape how we engage Financial Services customers You’ll thrive in this role if you: - Bring 7+ years of customer‑facing technical delivery leadership - Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI. - Excel in high ambiguity environments. Know how to simplify complex and dynamic work. - Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems. - Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions. - Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs. - Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls. - You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution. - Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher). About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Your work will change lives. Including your own. In this role, you will: - Assess our current state of IAM and revamp our IAM strategy across our products, platforms , cloud/on-premise infrastructure and corporate applications to accelerate key business outcomes. - Drive IAM implementation as part of our larger zero-trust security strategy - Architect and Design cloud-based identity governance, access management and cloud directory solutions - Implement RBAC/ABAC based IAM workflows for onboarding and ongoing identity lifecycle management - Act as a key technical and strategic advisor for cross-functional teams including IT, security, and development to ensure that IAM principles are integrated into broader security architecture. - Partner with Engineering and IT teams to ensure our products and applications are developed and implemented with fine-tuned access privileges and are appropriately risk - Establish well-defined KPIs, KCIs, and KRIs that provide visibility into IAM control effectiveness and support continuous improvement. - Ensure regulatory compliance by partnering with other teams to design IAM solutions that meet standards for SOX, GxP, etc. The Team You'll Join - You will join a growing Information Security team at Recursion, focused on enabling Recursion to decode biology by providing world class secure technology services that are designed and fit for purpose. You'll collaborate with your teammates and across departments to ensure that IAM systems support the organization's broader business objectives while maintaining the highest standards of security. The Experience You'll Need - Bachelor's or Master's degree in Computer Science, Information Security, or a related field. - A minimum of 7 years of experience in Identity & Access Management and other information security related domains. - Deep understanding of security principles and proven track record of successfully leading large-scale IAM projects from strategy to execution, particularly within cloud-first and hybrid environments. - Expertise in one or more programming languages (e.g., Java, C++, Python) as they relate to IAM products. - Expert level experience in one or more of the leading Enterprise Identity Administration & Governance solutions - Expert level Experience in Adaptive Authentication, OAuth, OpenID, SAML etc. - Expert level experience with the identity stack like Enterprise Active Directory as well as experience working with IAM products in the cloud like Okta, AWS, Azure AD, Duo or equivalent - Expert level experience with privileged access management solutions (e.g., Delinea, CyberArk). - Knowledge of operating systems (UNIX/Linux, macOS, Windows) and of database management systems - Excellent communication and leadership skills, capable of driving security initiatives and influencing change across multiple teams and disciplines. - Act as a Business Systems Analyst and articulate and elicit requirements and use-cases in a manner that is technology agnostic - A continuous improvement mindset, staying up to date with the latest IAM trends and technologies to drive innovation within the organization. - Experience with risk management, ensuring that IAM solutions are aligned with organizational risk tolerance and compliance requirements. - Relevant security certifications (e.g., CISSP, OSCP, GWAPT) are highly desirable. Working Location & Compensation: Making SLC your home base is ideal, however, we will consider remote work for this position. We ask that remote employees commit to regular on-site visits for routine work and departmental events. At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: $180,600–$212,900 . In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-BO1 LI-REMOTE The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is growing fast, and our SOX program needs to keep up. Many of the controls that matter for financial reporting run on engineering systems: who can access production and financial systems, how code changes are reviewed and deployed, and how usage is metered and billed. We’re hiring a Technical Program Manager to own the technology side of our SOX program. You'll work across engineering, security, GRC, Finance, and Internal Audit to design and run IT controls, drive gaps to closure, and make compliance lighter for engineering teams. You’ll also use Claude to automate evidence collection and control testing, so the program scales without more manual work. Responsibilities - Own the technology side of the SOX program end-to-end, from planning and control design through evidence, testing, remediation, and year-end reporting - Work with engineering teams to design and roll out IT general controls and IT application controls - Work with engineering teams to build Claude-based workflows, tools, and dashboards to automate evidence collection, control testing, and monitoring that warns engineering teams about compliance issues before an audit finds them - Lead large SOX projects, such as bringing new systems into scope, with clear success criteria, dependencies, and delivery dates - Turn control requirements into concrete engineering work with clear scope, owners, and deadlines, and a design that fits how our teams already build and ship - Build processes to evaluate new products, systems, and major engineering changes for SOX impact before they ship, so the right controls are in place from the start - Build strong working relationships with engineering control owners, help them understand what their controls require, and support them in producing evidence for auditor requests - Investigate control failures down to root cause, and drive engineering teams to fix them in time for the fix to be tested - Help keep an up-to-date list of the systems, apps, and infrastructure in SOX scope, with an owner named for each control - Track system migrations and scope changes, and make sure controls are updated as systems move - Build metrics and dashboards on control health, open findings, and remediation progress - Give regular updates on program status, risks, and remediation to technical leadership - Keep improving the program: simplify control processes, remove manual steps, and raise the share of controls that run cleanly You may be a good fit if you - Have 7+ years of experience in technical program management, IT audit, or technology compliance, with a focus on SOX and IT general controls - Have run or supported a SOX program at a public or pre-IPO company - Have used automation or AI tools to make compliance work faster and more reliable - Know IT general controls and IT application controls in depth, including access management, change management, and application controls, and how they support financial reporting - Have worked closely with external auditors - Understand cloud infrastructure and engineering workflows, such as code review, CI/CD, and cloud access, well enough to work through a control design with an engineer - Can explain technical risks and control gaps clearly to executives and other non-technical audiences - Are comfortable driving outcomes across engineering, finance, and audit teams that don't report to you Strong candidates may also have - A background in software, systems, or security engineering - Hands-on experience building with Claude Code or other AI tools - Experience with automated controls in revenue or order-to-cash systems, such as billing and usage metering - Experience with financial systems such as ERP and billing platforms, and the controls around them - Experience building or rebuilding a SOX program at a fast-growing company - Familiarity with other security and IT frameworks, such as NIST or ISO 27001 The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 - $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About the Team The SMB Ads team helps businesses discover, adopt, and grow with OpenAI’s advertising solutions. As we scale globally, we are building a high-performing sales organization that combines operational excellence, strong customer experiences, and AI-native ways of working. We partner closely with Sales, Revenue Operations, Finance, Product, Enablement, Program Management, and external BPO partners to drive advertiser acquisition, activation, revenue growth, and retention. About the Role We are hiring a BPO Lead to build and scale the outsourced operating model that supports our Ads business in APAC and globally. This is a builder role. You will design the governance, performance systems, capacity plans, quality programs, and accountability mechanisms that enable our BPO partners to deliver exceptional commercial outcomes. You will work across internal teams and external partner leadership to improve seller productivity, advertiser growth, forecasting accuracy, and operational quality. This is a highly cross-functional individual contributor role that sits at the intersection of Ads Sales, SMB, Revenue Operations, Finance, Enablement, Product, Program Management, and external BPO leadership. You will help define how OpenAI operates with external partners and build the systems, processes, and accountability mechanisms that enable the business to scale. This role is based in Sydney. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Build and scale BPO operating models, governance structures, and performance frameworks for Ads - Drive results across revenue, pipeline, advertiser acquisition, activation, retention, seller productivity, and quality - Lead business reviews and executive governance forums with BPO partners and internal stakeholders - Develop scorecards, forecasts, inspection mechanisms, and escalation processes that surface risks early - Improve sales quality through playbooks, QA frameworks, coaching programs, and performance analysis - Partner with Sales, Revenue Operations, Product, Enablement, Finance, and Program teams on new products, markets, and sales motions - Create workforce and capacity plans aligned to business demand and growth forecasts - Determine which customer segments and sales motions should be handled by BPO partners versus internal teams - Use AI, automation, and scalable systems to improve execution, visibility, and seller productivity You might thrive in this role if you have: - 5+ years of experience in vendor operations, commercial operations, outsourced sales, or a scaled revenue organization - Experience in Ads, advertiser growth, performance marketing, or a comparable SMB sales motion - Working knowledge of sales funnels, forecasting, advertiser activation, spend growth, retention, and churn - Experience improving operating processes, scorecards, quality programs, or capacity plans across vendors or markets - Strong analytical, operational, and communication skills, with the ability to turn data into clear actions and work effectively across teams - Interest in using AI and automation to improve execution, visibility, and seller productivity About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. About the Role * Open to hiring remote across the US — we also have offices in NYC, San Francisco, and Seattle We’re looking for a Senior/Staff HR Business Partner to work directly with Runway’s leaders and teams on how they grow, organize and perform. You’ll advise managers and executives on people decisions, lead org design and talent programs, unblock teams so they can move faster and turn what you see across the business into HR priorities. What You’ll Do - Partner with leaders on org design, headcount planning, team structure and leveling - Coach managers and executives on performance, feedback, career development and difficult conversations - Own complex employee relations cases from intake through resolution, including investigations, in partnership with Legal where needed - Work with Compensation and Talent Acquisition on offers, promotions and market adjustments - Use headcount, attrition, engagement and performance data to spot risks early and recommend action - Design and roll out programs that fit how Runway’s teams work, from manager training to engagement initiatives - Step in wherever the team needs it What You’ll Need - 7+ years of experience in HR, including at least four as an HR Business Partner supporting fast growing teams - Experience at a high-growth company, ideally through periods of rapid headcount growth - A record of advising senior leaders and earning their trust - Strong employee relations experience, with sound judgment and discretion - Working knowledge of employment law, compensation practices and performance management frameworks - Clear written and verbal communication - Comfort operating independently in a fast-paced, ambiguous environment - A high ownership mindset and a team-first attitude Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for founding a highly motivated, self-starter Account Executive who is passionate about voice technology and how it is changing businesses. We don't just sell a product or custom-level solutions; we are partnering with our strategic enterprises to help them generate new experiences and monetisation opportunities at scale with our breakthrough voice technology. In this role you will: - Build and manage a growing portfolio of strategic enterprise accounts in the Saudi Arabia to help ElevenLabs meet its revenue goals. - Identify and develop high-value business opportunities that align with ElevenLabs' product offering and roadmap. - Generate leads, negotiate complex contracts and close sales in collaboration with the Growth team. - Be responsible for KPI and sales performance tracking, providing weekly updates to the wider ElevenLabs team. Who you are We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You'll strive with us if you: - Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech. - Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead. - Are analytical, efficient, and strive on solving complex challenges with a first principles mindset. - Consistently strive for excellence , delivering high-quality work quickly and exceeding expectations. - Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside. What you bring - Proven track record of meeting & exceeding sales targets in a fast-paced environment, selling into large and strategic enterprises in the Saudi Arabia - +10 years of previous experience in sales in a SaaS organisation, with experience managing strategic, complex, deal cycles. - Extensive experience working in the Saudi Arabia - Expertise or willingness to learn everything about Voice AI industry and how ElevenLabs' solution can help. - Excellent communication and interpersonal skills, with the ability to build and maintain relationships with stakeholders at all levels of an organization. - A hybrid of customer & product-driven mentality that prioritises client impact, satisfaction & scale. - The role is based in the Saudi Arabia - Plus: Proficiency in Arabic. LI-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. About the role * Open to hiring remote across the US — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is rapidly building the leading ecosystem of generative models, bringing the best models from AI labs around the world to our users alongside our own. We are looking for an IC to source, activate, and scale relationships across Runway's growing portfolio of model partners. This is a role for someone who wants to own whatever needs owning, take new models from first conversation to launch, and write the playbook where none exists yet. You will work closely across Engineering, Product, Legal, Finance, and Marketing. What you'll do - Own a broad portfolio of model partners end to end, across modalities - Track the model landscape relentlessly: spot new labs and releases early and bring the strongest ones to the team as candidates for integration - Take new partners from zero to launched: source, structure and negotiate commercial terms, then close with Legal and Finance - Be the partner's main point of contact through launch, working closely with our engineering team - Build deep, trusted relationships with founders, BD leads and research teams at our partners, and turn those relationships into early access, better terms and joint launches - Run the portfolio with rigor: set check-in cadences, monitor relationship health, and spot and escalate risk early - Track usage, spend and margin by partner and model, and use that data to decide where to invest, renegotiate or step back - Partner with Marketing and our partners on co-marketing for model launches - Build the frameworks and tools that let the function scale as the ecosystem grows What you'll need - 5+ years of experience across some combination of partnerships, business development, GTM, consulting, or founding/operating, with a track record of having owned outcomes end to end - Experience negotiating commercial agreements, ideally usage-based, API or platform deals - Genuine obsession with generative AI: you know the labs, you try new models the day they ship, and you have opinions on what makes one good - Demonstrated range: you've done the deal and the integration and the launch - High technical aptitude for understanding complex technologies, tools, systems, and issues - Strong analytical capabilities, with the ability to turn usage and spend data into a clear recommendation - Ability to manage many relationships and priorities at once in a fast-paced environment without dropping threads - Clear, concise communication, from a startup founder to a big-lab partnerships team to a Runway engineer in the same day - A strong bias towards action and belief that no task is too small for you - Highly resourceful, with the ability to create structure and work autonomously amid ambiguity - New York-based preferred Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC

About the Team Strategic Sourcing & Procurement helps OpenAI secure the products, services, and partnerships that support our research, build our products, and grow our business. We work with teams across the company to make sound commercial decisions and move important work forward. As OpenAI grows, we are rethinking how sourcing works: bringing expertise into decisions earlier, simplifying contracting, and using AI to give Procurement more time for judgment and strategic work. What we learn internally—and through our supplier and enterprise-buyer relationships—can also inform better products, partnerships, and industry adoption. About the Role We’re looking for a senior leader to head Sourcing Enablement & Delivery, leading sourcing operational delivery, contracting enablement, and AI transformation—and building Procurement’s contribution to OpenAI’s commercial growth. You will build the teams, systems, service model, and cross-functional partnerships that enable sourcing and contracting at scale, helping teams move quickly without losing commercial discipline or accountability. You will partner with GTM, Sales, and Partnerships to develop Procurement’s contribution to OpenAI adoption and commercial growth. Bring procurement-industry knowledge, buyer insights, and lessons from internal AI use into customer engagement, product feedback, and opportunities across the procurement ecosystem. Reporting to the Head of Strategic Sourcing, you will manage the Sourcing Delivery and Contract Management leaders and shape this new function’s priorities, team, and measures of success. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Priorities and what success looks like - A focused roadmap: clear choices about what to build first, what to defer, and how progress will be measured. - Stronger delivery: capable leaders and teams, faster execution, less rework, and fewer unresolved ownership gaps. - AI adoption: sustained use of AI-enabled capabilities, with measurable gains in quality, capacity, and user experience. - Commercial results: increased OpenAI adoption across the procurement industry and a measurable contribution to commercial growth, consistent with independent supplier selection and purchasing decisions. In this role, you will: - Build and lead the organization. Hire and develop managers, coach performance, and build succession and leadership depth. Decide how employees, contractors, delivery partners, and AI share the work. Hold leaders accountable for results, capacity, and team health. - Own sourcing enablement and delivery operations. Set service commitments and quality standards with the Delivery and Contract Management leaders. Match support to deal complexity and risk, and use internal customer feedback to improve the service. Category and Sourcing leads retain ownership of their strategies and deals, including supplier selection, negotiations, and purchasing. - Lead the sourcing operating rhythm. Bring demand, priorities, and capacity into one forward plan, informed by workload and performance data. Work with category leaders to make tradeoffs, resolve dependencies, and follow through on commitments. Provide inputs to Procurement-wide planning and functional business reviews. - Strengthen contracting. Partner with Legal and Procurement Operations/COE on contract lifecycle management, approved templates, and negotiation playbooks that improve quality and free category teams to focus on strategic deals. - Lead RACI development. Define responsibilities, decision rights, handoffs, and escalation paths within Procurement and across partner teams. Define how the team prioritizes work, allocates resources, and resolves delivery issues. - Create mechanisms to bring sourcing into decisions earlier: connect business demand, supplier activity, and renewals—including work outside formal intake—with Sourcing teams, so options can be shaped before commitments and Finance and cross-functional teams can have better visibility. - Build and prove AI-enabled ways of working. Own use-case priorities, adoption, and business outcomes for sourcing and contracting experiences that begin in ChatGPT and connect to trusted enterprise systems. Partner with Finance Enterprise Technology on technical delivery and with Legal, Security, and Operations on controls and support, including preserving access restrictions and contractual commitments. Turn what works into reusable capabilities, demonstrations, and product feedback. - Define Procurement’s commercial-enablement approach with GTM, Partnerships, Legal, and Compliance including program scope, decision rights, purchasing independence, and information-sharing boundaries. Lead Procurement’s analysis, coordination, and follow-through for approved programs; GTM owns customer sales. Maintain independent purchasing decision-making and identify and escalate any proposed linkage between OpenAI’s purchasing commitments and customer sales. - Help define goals and measures of success for Procurement’s contribution to OpenAI adoption and commercial growth with Sourcing leadership and cross-functional partners. - Bring procurement-buyer expertise into GTM. Own this team’s buyer insights and use cases. Work with Marketing, Sales, Product, Customer Success, and Partnerships to shape demonstrations, industry content, and customer conversations, using examples approved for external use. - Drive OpenAI adoption across the procurement industry. Work with Sourcing leadership, partners and GTM to explore how Procurement third-parties and partners can adopt and distribute OpenAI capabilities. Contribute industry expertise and evidence from internal use; GTM and Partnerships own commercialization. - Partner with Legal and Compliance to embed business-integrity and confidentiality safeguards; implement required disclosures, recusals, and independent-decision making arrangements. You might thrive in this role if you: - Have 12+ years of experience in strategic sourcing, procurement, vendor management, or commercial leadership, with strong judgment about supplier choices, negotiations, contracts, and risk. - Have built or transformed a procurement capability through rapid growth or change, with clear evidence of better execution, commercial outcomes, or user experience. - Have managed managers and developed strong teams through hiring, coaching, performance management, succession planning, and thoughtful use of internal and external capacity. - Have worked in or closely with marketing, sales, or commercial teams, ideally serving procurement buyers. You can turn customer needs into use cases and business cases, and deliver commercial results with partner teams. - Know the procurement industry—its buyers, technology providers, service firms, and buying priorities. You understand how to sell to Procurement, including how buyers assess risk, negotiate, and secure internal support. - Use industry analysts, market research, buyer conversations, and professional networks to form a point of view on emerging trends and inform roadmaps, partnerships, and GTM priorities. - Have turned AI, automation, or enterprise technology into capabilities people use. You can work with technical partners, drive adoption, measure improvements, and recognize where human judgment remains essential. - Can set direction when the path is not defined. You prioritize work and resources, explain tradeoffs plainly, and earn support from teams you do not manage. You are curious about AI and willing to test, learn, and change course. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to financial institutions across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with banks, and financial research institutions. You'll leverage your consultative sales expertise in the financial services sector to propel revenue growth while becoming a trusted partner to financial stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in banking, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with financial decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: - Win new business and drive revenue for Anthropic within the banking sector. Navigate complex financial institutions to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close - Design and execute innovative sales strategies tailored to financial services procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze financial market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns - Spearhead market expansion by identifying new use cases within financial departments, research centers, and administrative offices. Collaborate cross-functionally to differentiate our offerings for financial applications - Navigate complex financial stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus - Inform product roadmaps and features by gathering feedback from financial users and conveying financial market needs. Provide insights that strengthen our value proposition for financial services - Continuously refine the financial services sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: - 8+ years of B2B sales experience in financial services technology in SaaS, API solutions, or emerging technologies - A track record of managing complex sales cycles within financial institutions and securing strategic deals by understanding both technical requirements and financial use cases - Demonstrated ability to navigate financial bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments - Extensive experience negotiating complex agreements within financial services procurement frameworks and policies - Proven experience exceeding revenue targets in the financial services sector by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently to various financial audiences, from analysts and researchers to senior executives - Deep understanding of financial services buying cycles, decision-making processes, and key pain points - A strategic, analytical approach to assessing the financial services market combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems and their applications in financial services. You feel strongly about ensuring frontier AI systems are developed safely and ethically for financial use The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £280,000 - £330,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . AI Foundations builds the shared infrastructure that lets teams across Coinbase use AI securely, reliably, and cost-effectively. Its scope includes the LLM Gateway and model routing, MCP Gateway for agent access to tools, knowledge and context services, evaluation infrastructure, and AI discovery and spend tooling. These building blocks power employee productivity and AI-enabled products without each team rebuilding the same infrastructure. Lessons from launching Enterprise-grade GenAI solutions at Coinbase What you’ll do: - Lead AI Foundations engineering, with responsibility for hiring, coaching, technical direction, prioritization, and delivery across its shared AI services. - Partner with Product and senior engineers to balance rapid model and agent innovation with reliability, security, developer experience, and cost. - Own engineering-side vendor relationships and operational readiness, and partner with Security, Legal, and Finance on AI governance and spend controls. Required Skills and Experience: - Own the “Neutral Foundations” pillar of Coinbase’s AI Tooling Strategy; establish a 2027 strategy and roadmap for the team. - Drive operational excellence of the AI primitives/services. - Deliver LLM Gateway, MCP Gateway; pave the road for model routing, evaluations; - Grow the next rung of leadership on AI Foundations. Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $253,895 - $298,700 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. The role ElevenLabs runs a deliberately lean finance team across 10+ legal entities and 40+ countries. The stack is built around NetSuite, Stripe, Ramp, Deel, HiBob and Pigment, with a BigQuery/dbt warehouse underneath. We want a close where people review exceptions and agents handle the rest. You'll own that stack, from architecture and integrations to controls and vendors. This is a builder role, not a ticket queue. - Run NetSuite end to end. That covers multi-subsidiary setup, chart of accounts and segments, scripting and workflows, release management, and roles and segregation of duties as we build toward public-company controls. - Own the integration layer: Stripe, Ramp, Deel and HiBob into NetSuite, and NetSuite into the warehouse. Month-end should reconcile by design instead of by hand. - Lead selection and rollout of new systems, including usage-based billing and equity administration. You'll also handle the finance setup of every new entity. - Build with AI, alongside our Automations and Data teams. Examples include agents and automations for invoice coding, people-cost reconciliations and accounting requests. - Be the systems voice in finance decisions on new pricing models, new geographies and audit readiness. Requirements - You've administered a multi-entity NetSuite OneWorld instance yourself, including SuiteScript/SuiteQL, saved searches, roles and releases. - You've owned an ERP or billing implementation or migration end to end, and you know how Stripe data flows into the ERP and into revenue recognition. - You build integrations, through iPaaS or code, that reconcile and alert when something breaks, and you're comfortable in SQL. - You understand R2R, P2P and O2C and the controls behind them, and you can work with accountants, engineers and auditors in the same week. - You work AI-first: tools like Claude Code or Cursor are part of your day, and you automate a workflow before you staff it. - Bonus: experience with Ramp, Pigment, Metronome or another usage-billing platform, Deel/HiBob, or n8n, or dbt/BigQuery; SOX or ITGC work at a pre-IPO or public company. Growth Potential We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Lead a Finance Systems & Automation team as the company scales. Location This role is remote-first, so it can be executed from anywhere in Europe, with the ability to operate in CET timezones required. If you prefer, you can work from our offices in Warsaw and London. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About the team The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise, ChatGPT Gov) and mission-aligned deployments that meet government technical requirements with strong reliability and safety. As part of the OpenAI for Government team you will work across the U.S. national security and cyber ecosystem, helping to accelerate adoption through hands-on support, tailored training, and early insights—so civil servants can spend less time on red tape and more on meaningful work. You will partner with government organizations to identify high-impact opportunities, translate complex cyber mission challenges into AI-enabled solutions, and drive secure deployments that help cyber professionals move faster and operate more effectively. If you're passionate about responsibly deploying frontier AI to uplift public institutions, strengthen cyber resilience, and transform how the government serves the American people, we want you on our team. About the Role The Strategic Delivery Lead (Cyber) will identify and deliver on some of OpenAI’s most complex and high-impact deployments for the U.S. national security and cyber enterprise. In this role, you will work closely with our national security partners and cyber mission owners to make their hardest problems solvable on the OpenAI Platform API and ChatGPT Enterprise. The role is highly cross-functional and customer-facing: You’ll partner with Research, Engineering, Go-to-Market, Forward Deployed Engineers, Solutions Architects, security teams, and external stakeholders to align on scope, unblock delivery, and communicate progress at every level, from technical teams to C-suite. You will own and drive execution of technical delivery workstreams led by internal teams (Forward Deployed Engineers, Researchers, Solutions Architects), ensuring clear problem-framing, crisp milestone definitions, proactive risk identification, rapid issue resolution, and effective translation between business objectives and cyber mission requirements and technical solutions, while consistently communicating clear progress and demonstrating tangible value to national security customers. Accountability for contractual milestones and acceptance criteria sits with you. This is a high-trust, high-autonomy role. Success requires deep program management expertise, executive presence, experience operating in cyber or national security environments, and a passion for making novel technology deliver real-world value. In this role, you will: - Forge and manage strategic partnerships with key national security and cyber mission users to identify and deliver on the most impactful AI and AGI use cases. - Serve as the accountable lead for delivering high-impact national security and cyber-focused engagements tied to defined contractual milestones. - Act as a key translator between technical teams and business stakeholders, clearly articulating technical progress, risks, requirements, and dependencies in language accessible to both senior executives and technical practitioners. - Work with government, defense, industry partners, and academia to identify key concepts for national security AI use including cyber defense, threat intelligence, security operations, incident response, and vulnerability management workflows and then translate them into actionable delivery plans that align technical feasibility with national security impact. - Partner deeply with technical teams (FDEs, SAs, Research) to frame complex business and technical problems into actionable, scoped projects, serving as a strategic sounding board and thought leader to guide technical direction, anticipate blockers, and align teams proactively. - Establish best practices around milestone tracking, internal coordination, and delivery operations at scale. - Build internal consensus across teams with competing priorities, secure commitments from stakeholders you do not manage, and drive complex projects to completion with limited dedicated resources - Lead regular progress reviews with national security and cyber stakeholders, ensuring transparency and confidence in delivery. - Identify delivery risks early and work cross-functionally to mitigate blockers and maintain program velocity. - Navigate ambiguity and evolving requirements with composure, helping internal and external teams stay aligned. - Help shape the future of how OpenAI engages with national security and cyber customers through milestone-based delivery programs. You’ll thrive in this role if you: - Active U.S. Government TS/SCI clearance, with a strong preference for an active Counterintelligence or Full Scope Polygraph - Have 10+ years of experience in cybersecurity, national security consulting, delivery leadership, or senior program management roles, driving complex technical initiatives across cross-functional teams to deliver results for national security missions. - Are willing to travel up to 50% and work on-site with national security and cyber customers to build strong relationships and deeply understand their needs. - Have experience leading organizational transformation initiatives (AI, digital, or business transformation) directly with national security departments or agencies. - Have led complex national security or cyber-focused programs in enterprise SaaS, AI/ML, consulting, cybersecurity, or transformation environments. - Have a proven track record influencing and shaping customer decision-making at executive/board level and the ability to drive clarity, accountability, and alignment at senior levels. - Demonstrated experience delivering outcomes in lean, fast-moving environments by influencing without authority, making thoughtful tradeoffs, and mobilizing cross-functional teams around the highest-priority work. - Strong track record of execution in delivering ambitious goals on complex cross-functional projects. - Prior experience managing large scale AI/ML or enterprise API-based deployments. - Are passionate about how AI and AGI can enhance the national security mission and strengthen cyber capabilities. - Thrive in extremely ambiguous, fast-moving environments and can create clarity and momentum where none yet exists. - See yourself as a bridge between frontier AI research and cyber mission impact, and are motivated by enabling that connection. - Care about mission impact and want to help national security customers use AI responsibly and effectively. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re looking for an experienced, motivated Enterprise Account Executive to drive ElevenLabs’ growth across Financial Services: the banks, credit unions, insurers, lenders, and wealth managers people trust with their money, their families, and their futures. These institutions win or lose on trust and service at massive scale, under some of the most demanding regulatory standards anywhere. Their customers increasingly expect to talk, not type, whether they’re checking a balance, disputing a charge, filing a claim, or asking about a loan. Our ideal candidate learns fast, closes well from a warm introduction, and is passionate about AI voice technology. You’ll act as a strategic partner to institutions reimagining how they serve, sell to, and sound to their customers, safely and at scale. In this role you will: - Focus on prospecting and landing net-new customers to expand the market footprint that ElevenLabs has in the financial services industry. - Be able to balance a diverse pipeline of large financial institutions who require white glove experience with medium sized regional clients who require speed to close - Identify where conversational AI can drive growth, automation, or cost efficiency in customer-facing and internal workflows. Our public use cases include account inquiries, payment support, fraud triage, loan origination, claims processing, collections, and compliance verification. Others include caller verification, onboarding, policy servicing and renewals, and contact center coaching - Stay current on the conversational AI landscape, including competitive solutions, build-vs-buy dynamics, and emerging trends in AI governance and model risk - Develop and execute account strategies across the whole buying group (CX and Contact Center Operations, Digital and Product, Technology, and Risk, Compliance, Legal, and InfoSec), landing with one high-impact use case and expanding across lines of business - Partner closely with Forward Deployed Engineers to solution high-impact use cases, manage a successful Proof of Value, guide customers through model-risk, security, and architecture review, and set them up to scale in production - Partner closely with Legal teams to drive strategic, fast-moving negotiations - Serve as a trusted advisor on generative AI and voice, and share what you learn in the field to sharpen our Financial Services positioning, messaging, and references Requirements - At least 7+ years of quota-carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API-driven platforms - Financial services experience (banks, credit unions, insurers, lenders, payments) is preferred but not required. We weigh demonstrated adaptability and fast ramp in a new industry heavily - Proven success closing [six- and seven-figure] deals and managing complex, multi-stakeholder sales cycles - Proven ability to take a warm introduction through discovery, Proof of Value, and procurement to close - Experience selling to both technical buyers (product and engineering) and business buyers (CX, operations, digital), and to risk and compliance gatekeepers, translating complex technology into business value - Adept at deeply understanding a customer’s business and translating ElevenLabs’ capabilities into solutions that deliver against their needs - Proficient in enterprise procurement, security review, and legal processes, including regulated-industry vendor risk, model risk, and data protection reviews, and able to work autonomously as a cross-functional partner - Strong executive presence, the ability to build relationships with senior executives, and willingness to travel frequently for onsite client visits and conferences - High EQ, self-aware, and curious. Low ego and hands-on, comfortable running your own prospecting and deals - Comfort in an early-stage, high-growth environment, where ambiguity is the norm and the state of play changes rapidly - Passion for voice and conversational AI and how it can unlock transformative value for customers Location This role is remote-first, so it can be executed from anywhere in the United States, however the ability to operate in EST, CST, or PST timezones is required. There is a preference for candidates to be based in New York or San Francisco, with the option to work out of our office. LI-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We are looking for a Global Technical Talent Lead to own hiring across Engineering, Product, Design, Research, and Growth worldwide. Reporting to the Head of Talent, you will lead Talent leaders and partner with senior engineering, growth, and research leaders to build the teams powering ElevenLabs. Your mandate is to bring cohesion to hiring strategy, execution, and standards across this portfolio, with accountability for hiring quality, pace, and predictability. - Turn engineering priorities into a deliverable global hiring plan. Partner with functional leaders to translate product roadmaps, research priorities, and workforce plans into hiring plans. Own Talent capacity allocation, planning, forecasting, and reporting. - Build and lead a cohesive global recruiting organization. Coach and develop Talent leaders, establish clear accountability for results, and allocate resources across disciplines and markets as priorities change. Build shared practices for talent mapping, sourcing, candidate experience, and closing while developing the specialist expertise each talent market requires. - Define and uphold the hiring bar across technical disciplines. Partner with functional leaders to define excellence by role and level, translating it into clear success profiles, rigorous assessment, and consistent hiring decisions. Equip the team to engage exceptional talent, credibly represent the work, and help candidates understand the opportunity and impact. - Make hiring performance visible and predictable. Establish regular hiring reviews with functional and senior leadership to track delivery, surface risks, and resolve decisions. Use market intelligence and funnel data to advise on location strategy, skill availability, and interviewer capacity. Partner with Talent Ops to improve systems, tools, processes, and the use of AI, so hiring is demonstrably faster and more efficient. Requirements - You have led Talent through hypergrowth at a company that grew 3x or more in two years, owning delivery of hundreds to thousands of hires annually across multiple regions and time zones. You have a proven track record of managing teams of Talent leaders and delivering business critical hiring across engineering, research, growth, design, and product disciplines. - You can earn the trust of senior engineering, growth, product, design, and research leaders, partner on hiring decisions, and advise on talent availability, location, role scope, and assessment. You have deep expertise in the varying talent markets. - You have translated changing business and technical priorities into credible hiring forecasts and recruiting capacity plans. You use pipeline, conversion, hiring lead times, and interviewer capacity to distinguish achievable commitments from emerging risks and guide resource decisions. - You combine strong people leadership with deep recruiting expertise. You have raised team performance through coaching, partnered with hiring leaders to improve assessments, and maintained a high hiring bar at scale. You can personally unblock a difficult search or help close an exceptional candidate. Location This role is remote and can be executed globally. Preference for candidates based in US East or GMT timezones. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

PsiQuantum's mission is to build the first useful quantum computers: machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry, including partners like GlobalFoundries, we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don't feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. That approach has since been tested at the highest level of scrutiny the U.S. government applies to emerging technology, and it has held up. In 2025, PsiQuantum closed a $1 billion funding round that valued the company at $7 billion. In 2026, the U.S. Department of Commerce signed a $100 million Letter of Intent under the CHIPS and Science Act, followed by a $125 million agreement with DARPA under Stage C of its Quantum Benchmarking Initiative, PsiQuantum's most valuable U.S. government agreement to date. This year, we also broke ground on our utility-scale quantum computer in Brisbane, Australia, and continued building out our Chicago site. Victor Peng, our CEO, and co-founder Jeremy O'Brien, now Executive Chairman, lead a team and board that reflects how seriously the world is taking this build, joined this year by Intel's Lip-Bu Tan and Atomico's Niklas Zennström. PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies, including Airbus, Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical, to prepare quantum solutions for real-world impact. Quantum computing is not an extension of classical computing. It represents a fundamental shift, and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we now have the funding, the government validation, and the sites under construction to make it real. Job Summary: This is a senior individual contributor role operating at the intersection of silicon photonics, embedded systems, electronics, controls, and system software . The engineer will be responsible for translating photonic device and system requirements into robust control algorithms, firmware, APIs, diagnostics, and system-level software. The ideal candidate has previously developed firmware and software for complex embedded hardware systems , understands closed-loop control and real-time system behavior , and is comfortable working directly with hardware during bring-up, characterization, debugging, and productization. Responsibilities: - Architect, develop, and maintain embedded firmware for control and management of silicon photonics products. - Develop firmware that interfaces with photonic devices, ASICs/FPGAs, DACs, ADCs, temperature sensors, power-management devices, and other board-level electronics. - Implement closed-loop control algorithms for parameters such as optical operating points, temperature, power, bias, alignment, switching state, and other device-specific control variables. - Understand system dynamics, stability, convergence, calibration, tolerances, noise, drift, and failure modes when designing control loops. - Develop real-time and event-driven firmware for complex embedded systems. - Develop device initialization, calibration, configuration, monitoring, fault management, and recovery mechanisms. - Define and implement state machines governing system startup, operation, fault handling, recovery, and shutdown. - Work with system architects to define the overall software and firmware control architecture of the product. - Support remote firmware/software update mechanisms, configuration management, versioning, and system recovery. - Design firmware and software with reliability, testability, manufacturability, and field serviceability in mind. - Develop automated calibration and test capabilities that can transition from engineering environments into manufacturing. - Define manufacturing configuration, calibration data, device parameters, and nonvolatile storage requirements. - Support production test, system qualification, reliability testing, and failure analysis.Develop diagnostic capabilities that allow manufacturing and field teams to quickly isolate failures. Experience/Qualifications: - BS or MS in Electrical Engineering, Computer Engineering, Computer Science, Controls Engineering, Physics , or a related technical discipline. - Significant professional experience developing firmware and software for complex embedded systems . - Strong programming experience in C/C++ for embedded systems. - Experience with Python or similar languages for automation, system test, data analysis, and hardware control. - Strong understanding of embedded processors, microcontrollers, memory architectures, interrupts, timing, concurrency, and hardware interfaces. - Experience with RTOS and/or embedded Linux environments. - Demonstrated experience developing software that directly controls physical hardware. - Strong understanding of feedback and closed-loop control systems . - Experience implementing calibration, compensation, monitoring, and control algorithms. - Experience with embedded communication protocols such as SPI, I²C, UART, GPIO, Ethernet, or similar interfaces. - Strong system-level debugging skills across hardware and software boundaries. - Experience developing software for hardware bring-up, characterization, and automated test. - Ability to read schematics, understand hardware architecture, and collaborate effectively with electrical and hardware engineers. - Ability to take loosely defined system requirements and develop a robust firmware/software architecture and implementation. PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws. Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com . We are not accepting unsolicited resumes from employment agencies. Base pay is one part of the total compensation package. Full-time roles are eligible for equity and benefits. Our compensation ranges reflect the cost of labor across multiple U.S. geographic markets, and we pay based on defined geographic zones. This position may be filled within one of the following U.S. geographic zones, each with its own salary range. Actual compensation may vary outside of these ranges and is dependent on various factors including, but not limited to, a candidate's qualifications, relevant education and training, competencies, experience, geographic location, business needs, and internal equity. Your recruiter can share more details about the salary range applicable to your location during the hiring process. - Zone 1 - Bay Area and NYC - Zone 2 - Examples include Los Angeles and Washington DC - Zone 3 - Examples include Austin, Chicago, and Sacramento - Zone 4 - Examples include Nashville and Phoenix/Tempe and many remote locations This position includes the following benefits: competitive health coverage for you and your dependents, 401(k) with company match, equity grants, access to financial wellness tools and planning resources, wellness benefits, family support programs, life and disability insurance, paid leave programs, company-designated paid holidays, discretionary time off (DTO), and an end-of-year company shutdown. Some of these benefits have eligibility requirements and may vary based on location, role, or employment status. Many of these benefits are subsidized or fully paid for by the company. The e s timated annual base salary range for this role is: Zone 1 $208,300 - $244,700 USD Zone 2 $187,400 - $220,200 USD Zone 3 $166,000 - $195,800 USD Zone 4 $145,800 - $171,300 USD

About the Team The Enterprise Marketing team helps the world’s largest organizations understand, adopt, and scale AI responsibly. We partner closely with Sales, Solutions, Product Marketing, Customer Success, Events, and executive leadership to create programs that accelerate strategic customer growth and strengthen OpenAI’s position as the leader in enterprise AI. Within Enterprise Marketing, the Field Marketing team is responsible for translating business priorities into high-impact customer engagement motions across industries, regions, and strategic accounts. We build and run programs that create pipeline, accelerate opportunities, deepen executive relationships, and bring OpenAI’s latest innovations directly to enterprise decision-makers. About the Role As an Enterprise Field Marketer, you will be a growth partner to Enterprise Sales, owning field marketing programs that create pipeline, accelerate strategic opportunities, and deepen relationships with priority enterprise accounts. You will own the full program lifecycle: translating sales priorities into field plans, identifying the right accounts and moments, executing high-quality customer programs, driving follow-up with sellers, and measuring business impact. This is a hands-on role for someone who can move from territory strategy to tactical execution quickly, with strong commercial judgment and high accountability for outcomes. This role is based in San Francisco, CA or New York City. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Travel is expected for customer events, executive programs, industry conferences, and internal planning moments. In this role, you will: - Build and execute field marketing plans aligned to priority seller groups, strategic accounts, industries, and regions. - Partner closely with Sales leadership on account prioritization, territory planning, outreach strategy, pipeline goals, and follow-through. - Own the full lifecycle of field programs, from strategy and planning through execution, seller enablement, follow-up, and measurement. - Run high-impact customer programs including executive dinners, roundtables, forums, workshops, industry moments, roadshows, and third-party conference activations. - Turn marquee moments into measurable pipeline opportunities with clear target accounts, success metrics, seller ownership, and post-event conversion plans. - Collaborate with Product Marketing, Events, Comms, Marketing Operations, Solutions, Customer Success, Partnerships, and executive stakeholders to deliver compelling customer experiences. - Track performance, communicate business impact, and build repeatable playbooks that help field marketing scale across enterprise segments. You might thrive in this role if you: - Have 8+ years of experience in enterprise field marketing, ABM, regional marketing, sales enablement, or related B2B growth roles supporting complex sales motions. - Have a track record of creating measurable pipeline impact through field programs, executive engagement, account-based programs, or industry marketing. - Understand enterprise buying cycles, pipeline creation, stage progression, and how field marketing can influence seller productivity. - Have partnered closely with enterprise sellers and sales leadership on territory planning, account prioritization, QBRs, pipeline reviews, and follow-up. - Can operate across strategy and execution: you can shape the plan, manage stakeholders, and personally drive the details. - Are highly organized, commercially minded, resourceful, and comfortable making progress when inputs are incomplete. - Communicate clearly and can influence senior stakeholders across Sales, Marketing, Product, and customer-facing teams. - Are energized by AI and excited to help enterprises turn new technology into measurable business value. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is seeking an experienced GTM Recruiter to join our recruiting team. In this role, you'll partner closely with GTM leaders to hire the people who will shape how Anthropic operates, grows, and delivers on its mission. This role requires someone who can assess not just functional expertise, but also alignment with our values and the adaptability required to thrive in a fast-paced, high-growth environment. Responsibilities: - Lead end to end recruiting for GTM roles - Develop and execute strategic recruiting plans, including competitive mapping, targeted sourcing, and building long-term talent pipelines - Build trusted partnerships with GTM leadership to understand business priorities, team structures, ideal candidate profiles, and required competencies across different functions - Create exceptional candidate experiences that showcase Anthropic's mission, growth trajectory, and unique growth opportunity for GTM professionals - Design and implement scalable recruiting processes that effectively assess functional expertise, business acumen, and cultural alignment - Track recruiting metrics and use data to identify bottlenecks, optimize processes, and maintain a high-quality hiring bar - Coach hiring managers on recruiting best practices, interview techniques, and strategies for building diverse, high-performing teams You may be a good fit if you: - Have 5+ years of full-cycle recruiting experience with meaningful exposure to GTM functions - Are comfortable working in ambiguous environments and help hiring teams build structure and excellent recruiting practices - Have strong stakeholder management skills - you can share examples of frameworks you've built that drive hiring while coaching teams to improve their recruiting - Are highly organized with strong attention to detail - you stay on top of data integrity and maintain regular touchpoints with candidates and hiring managers - Are comfortable analyzing recruiting data and can connect key metrics to monitor recruiting health and maintain a great hiring experience - Are passionate about AI's potential to positively impact the world while understanding its risks and limitations Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About the Team Our team helps OpenAI advance data center development by connecting communications, permitting and community engagement. We work across the teams building these projects to bring community expertise and clear communication to practical development needs. About the Role We’re looking for a versatile communications and community engagement professional who can help move data center projects forward. You’ll combine community engagement with strong communication skills and experience in permitting and public meetings. This role calls for someone who can influence across organizational boundaries, build understanding among stakeholders and step into the work where they can be most useful. This position has a strong external focus, crafting and sharing our data center narrative with a strong impact on policy-making through advocacy and press stakeholder management. This position will also have a major impact on the way OpenAI is perceived by other players in the industry and by the wider public. In this role, you will: - Partner with permitting and community-engagement teams to understand local concerns and support project progress. - Support press and storytelling around community engagement projects in our local data center communities in partnership with our Community Engagement Leads. - Help craft and scale our communication narrative around our operating principals as we scale our infrastructure footprint. - Develop clear narratives and communications that explain projects, energy needs and policy positions to relevant stakeholders. - Connect policy, communications and project teams so messages and actions reflect development needs. - Build alignment across teams, influence decisions and help resolve issues that span policy, communications and development. - Think creatively about communications and the channels used, working with the Public Affairs teams to deliver integrated execution of initiatives. - Help shape energy policy approaches that support data center development and translate policy considerations into practical recommendations. You might thrive in this role if you have: - Strong written and verbal communication skills, with the ability to make complex issues clear to different audiences. - Practical experience crafting a positive narrative for the data center industry, and a track record of influencing across teams and taking ownership in ambiguous situations. - Experience in and supporting public meetings, events, and announcements. - Experience managing social media messaging and campaigns in support of project initiatives - Media training and have experience working with senior leadership to prep for media - Experience in energy policy and an ability to connect policy decisions to infrastructure development. Preferred Skills - Experience running a high stakes media campaign - Experience supporting data center development or comparable energy and infrastructure projects. - Experience with policy communication (on energy for example) About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary We are looking for a Labour Legal Counsel to join our Corporate Legal team. Reporting to our Lead Labour & Employment law, you will provide labour law expertise to balance local legal requirements with operational efficiency, while respecting cultural and legal nuances. The ideal candidate will have a minimum of 6-8 years of experience, including relevant experience in a multinational company, with a strong background in French labour law and a deep understanding of the labour challenges faced by a fast-growing worldwide company. In this role, you will serve as the legal liaison for Mistral’s HR teams and collaborate with Legal teams to ensure compliance, consistency, and best practices in all labour-related matters. - Provide practical, hands-on legal advice on individual and collective employee relationships, working closely with HR to implement operational solutions ensuring compliance with all regulatory requirements - Draft, review, and negotiate employment contracts, and advise on employment lifecycle, ensuring alignment with French legal requirements and Mistral AI’s global policies - Advise on collective representation matters, including CSE, European Work Council and associated employee representative bodies, ensuring constructive dialogue and legal compliance - Provide guidance on cross-border employment issues, including secondments, remote work, and international mobility, ensuring seamless integration with local requirements and evolving workforce needs - Monitor and analyze regulatory developments in labour law and proactively adapt internal processes Qualifications and skills - Legal Master’s degree (Master’s in French Labour Law). Additional certifications in international labour law are a plus. - A minimum of 6-8 years experience , with strong experience in French labour law (individual and collective relationships) - International mindset : Experience working in a multicultural environment - Proven expertise in: - Handling legal aspects of employees relations - Drafting and negotiating employment contracts and related contracts - Managing legals aspects of the employee collective representation - Analytical and problem-solving skills : Ability to navigate labour law issues and provide pragmatic, business-oriented solutions. - Communication: Excellent written and verbal communication ; ability to communicate legal advice and present legal concepts in a clear and understandable manner. - Adaptability: Ability to work in a team-oriented, collaborative environment. - Ethical awareness : Commitment to promoting a fair, inclusive, and compliant workplace culture. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About the Team The Business Marketing team helps organizations understand, adopt, and get value from OpenAI’s products. We work across product marketing, content, creative, and web to connect what our technology can do with the needs of the people and businesses using it. About the Role We’re looking for a Web Strategist Lead to shape the customer journey across openai.com . You’ll help audiences ranging from individual developers to large enterprises discover what’s possible, find relevant information, and take the right next step. You’ll think through the full experience: how people arrive, explore products and use cases, learn through content, and move toward getting started or speaking with OpenAI. You’ll shape how navigation, content, and storytelling connect across the site, including deeper pages and transitions into product and sale-led experiences. This is a senior individual contributor role focused on audience needs, product understanding, and experience strategy. You’ll partner with Web, Design, Content, Product Marketing to build, test, and improve these journeys. This role is based in San Francisco and in office three days a week. In this role, you will: - Define audience journeys. Understand visitors’ needs and create paths from discovery and learning through evaluation, adoption, and deployment. - Connect the website experience. Shape navigation, information architecture, and connections across products, use cases, stories, and resources, wherever someone enters the site. - Guide content and storytelling. Identify what visitors need at each stage and partner with Content and Creative to build understanding as people explore deeper. - Connect self-service and human support. Make it easy to explore independently, get started, or reach the right OpenAI team when a conversation would help. - Turn strategy into shipped work. Create journey maps, experience briefs, and rough wireframes. Partner with Web on a long-term roadmap and stay involved through delivery. - Improve journeys over time. Use research, visitor behavior, and experimentation to find gaps and measure whether people can understand their options and take useful next steps. You might thrive in this role if you: - Have 10+ years of experience leading web strategy, digital experience, UX, or product strategy, either in-house at a technology company, relevant agency and/or consultancy. - Have shaped and improved complex websites, preferably for B2B technology companies, serving multiple products and audiences, with a portfolio that explains your decisions and contribution. - Bring strong product judgment and can connect technical capabilities to audience needs, practical use cases, and adoption paths. - Have experience in customer journeys, information architecture, navigation, and content strategy, including how storytelling works across a complete experience. - Understand when self-service helps customers move forward and when a go-to-market conversation adds value. - Can turn ambiguous needs into clear direction, collaborate across disciplines, and use research and experimentation to improve your work. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the Team The APAC team is responsible for bringing OpenAI’s mission, products, and partnerships to life across one of the company’s most strategically important regions. As we scale our presence across Asia-Pacific, we are building a regional operating model that enables strong local execution, consistent global alignment, and long-term impact across businesses, products, markets, and functions. About the Role We are looking for a Strategy & Operations Lead to lead and scale operational excellence across Japan. This leader will translate global strategy into regional execution, ensure operating discipline across markets and functions, and help the business scale with consistency, speed, and rigor. This person will act as a key bridge between global leadership and regional teams, bringing clarity to priorities, building scalable operating systems, and ensuring the region is set up to deliver against ambitious business goals while keeping the long-term opportunity in mind. This role is based in Tokyo, Japan and we use a hybrid model of 3 days in office. In this role, you will: - Defining and implementing the Japan operating strategy in alignment with APAC & global objectives and regional priorities. - Driving execution across key markets, ensuring consistency while adapting to local needs, regulations, and market dynamics. - Partnering with global leadership to prioritize initiatives, allocate resources, and ensure strong execution in-region. - Establishing KPIs, reporting frameworks, and operating cadences to track performance and inform decision-making. - Building and optimizing scalable processes across business lines, including consumer, product, partnerships, and other key functions. - Identifying operational gaps and inefficiencies, and implementing continuous improvement initiatives. - Supporting market entry strategies and operational readiness for Japan - Enabling strategic partnerships through strong operational frameworks and close partnership with relevant teams. - Helping build a strong regional functional leadership team and ensuring the regional operating system runs smoothly and efficiently. - Collaborating closely across functions to drive accountability and deliver against regional goals. - Ensuring seamless coordination between global and regional stakeholders. - Acting as a central point of accountability for operational delivery across Japan. - Building, leading, and mentoring a high-performing regional operations team. - Fostering a culture of accountability, inclusion, operational rigor, and continuous learning. - Developing leadership bench strength across key markets and functions. You might thrive in this role if you have: - Significant experience leading regional or international operations in a fast-scaling, complex business environment. - Strong strategic and operational judgment, with the ability to translate high-level goals into clear execution plans. - Experience operating across multiple markets, functions, and business lines, ideally within Japan. - A track record of building scalable operating systems, processes, metrics, and reporting frameworks. - Strong cross-functional leadership skills and the ability to influence senior stakeholders across global and regional teams. - Excellent business judgment, with a bias toward action and strong accountability for outcomes. - Experience supporting market expansion, operational readiness, and/or regional growth initiatives. - Strong people leadership skills, including experience building and developing high-performing teams. - Comfort operating in ambiguity and creating structure in fast-moving environments. - High integrity, low ego, and a collaborative leadership style. - Strong written and verbal communication skills, with the ability to bring clarity to complex topics. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About The Anthropic Institute The Anthropic Institute (TAI) is a function within Anthropic that works to advance the public conversation around AI. The Institute is comprised of research teams tackling some of AI's most consequential societal challenges: the Frontier Red Team, which stress tests our systems against catastrophic risks; Societal Impacts, which studies how Claude is used by millions of people; Economic Research, which tracks AI's impact on people's jobs and the larger economy; the Rule of Law team, which studies AI's impacts to democracy; and more. The Institute's mission is to reduce information asymmetries between Anthropic and the outside world, name and answer the hard questions implied by powerful AI systems, and publish these findings so that policymakers, researchers, technology leaders, and the public can reckon with what's here and what's to come. About the role The role. You will build and lead the Institute’s tabletop exercise program and the team that runs it. Based on trends visible in the exponential and in consultation with technical experts, you will set the research agenda: which questions the exercises should answer, which scenarios to run, with which audiences, and what each run is meant to test. You will own the methods that make results comparable across runs and turn them into findings people outside the room can use. You will hire and manage a team plus a bench of facilitators, and you will be the program’s public voice. Why tabletop exercises? If RSI arrives, the hardest problems will be about making decisions under uncertainty. The people making them may not trust each other, and the authorities they work under may not be fit-for-purpose. A tabletop exercise (TTX) allows the people who would face that situation practice it before it is real. It also shows us what tools and information they reach for, including what they would need that does not exist yet. Tabletop exercises are also a research method. You can run the same scenario many times, with different groups of people (and with many more AI agents playing in silico), and you start to see the distribution of decisions people make. This is one of the few ways to generate empirical evidence about the future, i.e., how people and institutions will respond to situations that have not happened yet. Key responsibilities - Set the program’s research agenda: the questions exercises should answer, the scenarios to run, and the audience for each - Design exercises as empirical studies: define what each run tests, standardize scenarios and data capture so results are comparable, and use repeated play to map the range of outcomes - Build the program’s measurement: pre- and post-exercise assessments, decision logs, transcript analysis and after-action reports - Turn results into findings: publish on what the exercises show, and brief senior people inside and outside Anthropic on the gaps they expose - Hire, manage and develop a team and a bench of facilitators - Make the program scalable: maintain a library of tested scenarios that the team reuses most of the time, refreshed on a regular cadence so they stay timely - Build a facilitator kit ("TTX in a box") so other internal teams or external partners can run exercises to the same standard - Create and direct the tools behind the exercises, including Claude-driven simulations that generate a live outside-world feed during play Minimum qualifications - Have designed and run tabletop exercises, wargames, or simulations for senior decision-makers and published on the subject - Have training in a discipline that uses simulation, experimental methods or structured analysis - Have 10+ years of experience in national security, government, technology policy, or strategy - Can keep the scenarios technically grounded with a strong grasp of AI capabilities and safety research - Have managed a team, including hiring, setting direction, giving feedback and developing people - Use Claude and other AI tools extensively in your own work - Care about AI safety and Anthropic's public benefit mission Preferred qualifications - Published research on wargaming methods, simulation or crisis decision-making - Run exercises that fed into real policy or crisis-response decisions - Run multi-iteration or experimental wargames and analyzed results across runs - Used AI agents or language models as players, adjudicators or analysts in simulations - Led a research program or team through a period of growth - Existing relationships across national security, government, policy and AI, and are trusted in those communities - Published widely read work on AI, emerging technology, strategy or crisis decision-making We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $295,000 - $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.