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Compensation Programs & Operations Lead
About the Team OpenAI’s Compensation team helps attract, reward, and retain the people advancing our mission to ensure that artificial general intelligence benefits all of humanity. We develop compensation strategies and programs that support a rapidly evolving business, combining market insight, sound judgment, and thoughtful execution. We partner across People, Finance, Legal, and the business to deliver programs that employees and leaders can understand and trust. About the Role We’re looking for a Compensation Programs & Operations Lead to own the end-to-end program management of our cyclical and ad hoc compensation programs globally. You will turn compensation priorities into executable plans and lead delivery from initial scoping through launch, reconciliation, and continuous improvement. This is a senior, hands-on role for a compensation subject-matter expert who is energized by operations and E2E program ownership. You should bring experience across compensation operations analysis, compensation analysis, business partnership, and program management. Having done this work yourself, you understand the practical details behind compensation decisions and what it takes to implement them accurately. You will establish how our compensation programs run: the calendar, responsibilities, systems requirements, controls, communications, and handoffs that connect program design to the employee experience. You’ll partner closely with Compensation Partners, HR Business Partners, People Operations, People Technology, Finance, Payroll, Equity Administration, and Legal, creating clarity and driving execution as priorities evolve. In this role, you will: - Lead our compensation program portfolio. Own the integrated roadmap and calendar for cyclical and ad hoc programs, including compensation reviews, bonus and equity cycles, promotion-related compensation processes, recognition and retention initiatives, and new program launches. - Drive programs from planning through completion. Define scope, deliverables, milestones, accountable owners, dependencies, and resource needs. Coordinate work across teams, resolve blockers, and bring decisions and tradeoffs to the right owners early. - Translate compensation expertise into practical operations. Work with Compensation Partners and program owners to turn approved designs into clear eligibility rules, calculations, workflows, approval paths, and exception processes. Identify gaps and implementation risks before launch. - Stay close to the analysis and data. Build and review models, validate inputs and calculations, investigate discrepancies, and reconcile final outcomes. Be comfortable working directly in the details when a program needs it. - Build reliable execution controls. Establish quality checks, documented approvals, access controls, and audit trails. Coordinate accurate handoffs to Payroll, Equity Administration, and People Operations, with clear ownership through completion. - Shape compensation systems and tooling. Translate business needs into requirements, partner with People Technology on configuration and integrations, lead user acceptance testing, and prioritize improvements that reduce manual work and errors. - Manage incoming requests and changing priorities. Create a practical intake and prioritization process for ad hoc compensation initiatives. Make capacity, timing, and dependencies visible so urgent work can be delivered alongside recurring commitments. - Make programs easier to understand and use. Develop operating guides, manager resources, communications, and training. Equip Compensation Partners and other stakeholders to explain programs consistently and resolve questions efficiently. - Improve how the function operates. Measure accuracy, timeliness, manual effort, and stakeholder experience. Run post-cycle reviews and turn findings into simpler processes, stronger documentation, and effective automation. You might thrive in this role if you: - Have 10+ years of progressive compensation experience , including substantial responsibility for global compensation programs and operations in a complex, fast-growing organization. - Have performed the core responsibilities of a Compensation Operations Analyst, Compensation Analyst, Compensation Partner, and Compensation Program Manager , whether through separate roles or a combination of positions. - Bring deep compensation expertise across base pay, incentives, equity, market benchmarking, salary structures, and job architecture, and understand how these elements translate into day-to-day administration. - Have independently led complex compensation cycles and new initiatives, coordinating multiple teams from planning and analysis through implementation and reconciliation. - Are deliberately drawn to an operations-focused role. You enjoy making programs work, improving the details, and building processes that others can rely on. - Combine strong analytical skills with practical systems experience, including advanced spreadsheet modeling and hands-on work with Workday or comparable HR and compensation platforms. - Can establish priorities and drive progress when requirements are incomplete or changing, while making thoughtful tradeoffs about speed, accuracy, and capacity. - Communicate clearly with senior leaders and working teams, influence across functions, and make ownership and next steps explicit. - Exercise sound judgment with confidential information and bring a high standard of accuracy, accountability, and service to 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.
Marketing Manager, Tech Partnership
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 Claude is becoming the AI layer inside the platforms where enterprises already work. Our partnership with Salesforce — anchored by Claudeforce — is the first and largest example, and a growing roster of strategic technology partners is following the same path: making Claude the front door to their products for millions of users. As Marketing Manager, Tech Partnerships, you will own the ongoing comarketing relationship with these strategic tech partners. You will be the single marketing point of contact for each partner’s marketing organization, build and run the joint marketing plan, manage shared marketing funds, and turn large partnership agreements into pipeline-generating field programs — exec summits at partner flagship events, joint workshops, enablement moments, and co-branded activations around the world. Key responsibilities - Own the day-to-day comarketing relationship with strategic tech partners, starting with Salesforce: be the one consistent Anthropic marketing voice your partner counterparts plan with, and keep both sides working from a single joint plan - Build joint marketing plans with each partner, with goals and success metrics agreed before any shared funds are committed - Manage joint marketing development funds (MDF): allocation across programs, spend tracking, compliance with partnership terms, and reporting on what the investment returned - Design and execute flagship joint moments — executive summits and sessions at partner events (e.g., Dreamforce, World Tours), joint customer workshops, partner sales kickoff enablement, and co-hosted executive dinners - Extend partner programs through the broader ecosystem, including joint activations with shared systems-integrator and consulting partners - Measure what matters: partner-sourced and partner-influenced pipeline, program-level attribution, and a partnership marketing health scorecard built with Marketing Ops - Protect the brand: apply comarketing guidelines, run messaging and asset approvals in both directions, and know when to say no to a partner ask - Operate as connective tissue across Anthropic: Partner Marketing, Partnerships/Business Development, segment field marketers, Product Marketing, Events, and Comms all touch these relationships. You keep them coordinated and the partner experience coherent Minimum qualifications - Ownership of a comarketing relationship with a large strategic partner: a hyperscaler, a major SaaS platform, or an equivalent, including joint planning and MDF management - A track record of executive-level field programs: summits, flagship-event activations, C-level dinners, and roadshows, with the pipeline to show for them - Strong relationship-building skills: able to earn trust with partner marketing leaders while holding Anthropic's line on brand, messaging, and spend - 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 Preferred qualifications - 7+ years of B2B marketing experience, with significant time in field, partner, or alliance marketing at a technology company - Experience on both sides of a platform partnership (at the platform and at the ISV/partner) - Familiarity with the AI ecosystem and how enterprises adopt AI products - Experience running programs at global scale across multiple regions and event series - Experience working with or marketing through 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: $255,000 - $320,000 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.
Strategic Account Executive, Enterprise - Victoria
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role As a Strategic Account Executive for Victoria, you’ll be one of the foundational members of Cursor’s enterprise sales team in the region. You’ll help large engineering organizations discover, adopt, and expand their use of Cursor, owning strategic accounts across Victoria and working directly with engineering leaders, CTOs, developer platform teams, and procurement stakeholders. This is a rare opportunity to bring a product engineers already love into some of ANZ's most sophisticated technology, financial services, enterprise, and digital-native organizations and to help shape how software gets built in the AI era. What you’ll do - Own a named book of strategic enterprise accounts across Victoria, driving new logo acquisition and expansion revenue - Run a disciplined, full-cycle sales process from prospecting and discovery through evaluation, negotiation, and close - Build and execute account strategies that connect Cursor’s capabilities to the technical and business priorities of engineering leaders, CTOs, and developer platform teams - Create pipeline through outbound prospecting, executive mapping, inbound follow-up, partner referrals, and your own network - Partner closely with Sales Engineering, Product, and Customer Success to deliver high-quality evaluations and ensure customers realize value quickly - Navigate complex enterprise buying processes, including security reviews, legal negotiations, procurement, and multi-stakeholder approval cycles - Serve as the voice of Australian enterprise customers internally, sharing market feedback and deal learnings with Product, Marketing, Customer Success, and GTM leadership - Help establish Cursor’s enterprise presence in Victoria by building repeatable motions, local market insights, and early customer references - Consistently meet and exceed quarterly and annual revenue targets You may be a fit if - You have 7+ years of enterprise B2B sales experience, ideally selling developer tools, infrastructure, cloud, security, AI, or other technical SaaS products to engineering-led organizations - You have experience selling into strategic or large enterprise accounts in Victoria - You’re comfortable navigating complex buying committees across engineering, IT, security, legal, procurement, finance, and executive stakeholders - You’re a true hunter: you proactively build pipeline from scratch through outbound prospecting, creative sourcing, executive engagement, and persistent follow-up - You have strong command of pipeline management, account planning, and forecasting across a strategic book of business - You’re energized by technical products and can hold credible conversations with senior engineers, platform leaders, and CTOs about how Cursor fits into modern development workflows - You’re a self-starter who thrives in an early-stage, resource-constrained environment and can build process, playbooks, and regional learnings as you go - You care deeply about AI and believe transforming how software is written is one of the most important problems to work on right now
Deployment Lead, Life Sciences- NYC
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 As a Deployment Lead Life Sciences, 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 focus on the Life Sciences vertical, partnering with pharmaceutical companies, clinical research organizations, and other data and services providers to deploy next-generation AI capabilities across their drug discovery, development, and operations. You will own delivery end-to-end: embedding with Life Sciences 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 New York. 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 workstreams. 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 workstreams 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 Life Sciences customers You’ll thrive in this role if you: - Bring 7+ years of customer‑facing technical delivery leadership and have expertise in the Life Sciences space. - 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.
Adoption Strategist - North America
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 This is a brand new Adoption Strategist role sitting at the intersection of adoption, enablement, scaled programs, and product expertise so we expect the scope to evolve and want someone excited to build as it does. You'll design and run the programs - onboarding tracks, lifecycle campaigns, workshops, adoption playbooks - that drive corporate and mid-market customers to activate their core use case and expand into new ones. Everything you build has to scale across a high-volume book, not be custom to one account. You'll need deep product fluency - enough to be the most credible voice in the room on how to use the product well - without ever owning an account or its technical implementation directly. This is a builder role for someone extremely analytical, comfortable running live enablement at scale, and already advanced with AI tools to automate the systems behind it. Since this is a new role, we expect the scope to evolve over time - being adaptable and excited to build is a core part of being successful here. Focus areas include, but aren't limited to: - Drive strong adoption by building and delivering scalable enablement and activation programs that educate customers on best practices, and get them to time-to-value quickly on their core use case - Develop deep product expertise across the entire ElevenLabs platform, with a focus on ElevenAgents and ElevenCreative - you're a product expert on our existing product and you're constantly the first to learn new products coming to market - Proactively audit customers' agent prompts, configurations, and feature setup to identify gaps, and share recommendations as a value-add service that drives deeper adoption - Track and drive key leading and lagging adoption metrics, partnering with Revenue Operations to iterate on our reporting capabilities, and use those trends to develop data-driven adoption strategies and playbooks across the customer base in region - Partner with Account Management and CX to deliver targeted adoption and enablement campaigns, including regional live workshops and webinars, based on opportunities or new product releases - Engage with external implementation partner and internal teams to help unify adoption strategy across the customer journey (e.g., Solutions Engineering, GTM, Customer Experience, Product Marketing and Engineering) - Partner with leadership on high-impact initiatives that support the local GTM team and global results Requirements - 6+ years in adoption, customer/partner enablement, digital CS programs, enterprise growth or similar role at an AI-native or highly technical company with a large, low-touch book - Experience with voice AI, TTS, conversational AI, or developer-facing products - A track record of building adoption focused programs from the ground up: onboarding tracks, scaled adoption playbooks, self-serve content, and more - You think in systems but are creative: you're always asking "how do we scale or automate this," and building automations and workflows with AI tools is ingrained in how you work - Extremely analytical: you identify trends easily and use them to close gaps, surface opportunities or standardize best practices. You also identify data points that aren't yet tracked but would uncover new insights and change strategy - Comfortable driving cross-functional outcomes without direct authority, working effectively with Account Management, FDE, RevOps, and GTM to move adoption forward - Experience managing a high-volume book of business at scale, mid-market or commercial segment - Language Requirements - must be proficient in English. 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: - Growth Roles - Regional Adoption Lead - Other teams: Account Management, Digital CX or Deployment Strategist Location This is a remote-first role. Candidates must be based in North America. 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.
Media Relations, Safety Communications
About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. Our Communications team includes media relations, employee communications, community building, events, and other external-facing functions. This team’s ethos is to support OpenAI's mission and goals by clearly and authentically explaining our technology, values, and approach to safely building powerful AI. About the Role We’re looking for an experienced communications professional to help share how OpenAI builds and deploys technology responsibly in the real world. This person will play a key role in communicating about our safety work: how we prepare, respond thoughtfully when issues arise, and continue earning people’s trust as our systems become more capable. This person will partner across teams to shape clear, confident narratives that show our commitment to transparency and continuous improvement. This role is ideal for someone who thrives in dynamic environments, enjoys translating complex ideas into relatable stories, and sees opportunity in helping people understand how safety and innovation work together. This role is based in San Francisco, CA. We use a hybrid work model of 3 days per week in the office and offer relocation support. In this role, you will: - Develop communications strategies that highlight our proactive real-world safety practices and reinforce public confidence in how we approach responsible AI - Craft thoughtful, timely responses when questions or issues emerge, helping audiences understand what we’re doing and why - Prepare materials including statements, FAQs, and backgrounders that make complex information clear and credible - Partner closely with cross-functional teams to anticipate emerging topics and build readiness plans - Build and strengthen relationships with journalists covering AI safety, technology, and policy - Provide calm, trusted counsel to leaders and teammates on sensitive or fast-moving narratives - Help establish clear processes for monitoring external narratives and responding with empathy, accuracy, and care You might thrive in this role if you: - 10+ years of professional PR and media relations experience; corporate and/or crisis communications experience is preferred, in-house experience is a plus. - Experience with AI technologies or a strong personal interest in AI. - Exceptional ability to translate complex technical information into clear, persuasive external-facing content. - Proven success in building relationships and collaborating with press, executives, partners, and other stakeholders. - You’re energized by translating technical work into stories that people understand and care about - You bring clear thinking, good judgment, and calm focus to high-profile projects - You value precision and accountability, but can also think creatively about framing and narrative - You want to be part of a team helping to shape how the world understands safe and responsible AI 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.
Senior/Staff Security Engineer, Detection & Respon...
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 Anthropic's models grow more capable, so does the interest of people who want to attack or misuse them. The Detection and Response (D&R) team spots those threats and responds to incidents across every layer of Anthropic's technology stack. The team is early-stage, so you'll help build our detection and response capabilities from the ground up and work closely with our security and research teams. Key responsibilities - Lead incident response across a range of domains, from external attacks to insider threats, spanning all layers of Anthropic's technology stack - Build and deploy tooling, including tools that use large language models, to improve how we detect and respond to threats - Create and tune detections, playbooks, and workflows to catch and respond to incidents quickly - Review incident response metrics and procedures, and drive improvements - Work across security and engineering teams - Take part in an on-call rotation Minimum qualifications - Experience handling security incidents and investigating anomalies as part of a team - Working knowledge of EDR, SIEM, SOAR, or similar security tooling - A solid understanding of cloud environments and operations - Experience working with engineering teams in a SaaS environment - Proficiency with a scripting language such as Python and query languages such as SQL - Strong communication and collaboration skills - Able to lead projects with little guidance - Able to pick up new languages and technologies quickly Preferred qualifications - 7+ years of software engineering experience, or 7+ years of detection engineering, incident response, or threat hunting experience - Security operations or investigations involving large-scale Kubernetes environments - Experience analyzing attack behavior and prototyping high-quality detections - Experience with threat intelligence, malware analysis, infrastructure as code, or forensics - Experience contributing to a high-growth startup environment 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.
Staff+ Software Engineer, Account Creation
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 are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. Responsibilities: - Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review - Build abuse detection mechanisms and infrastructure - Surface abuse patterns to our research teams to harden models at the training stage - Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale You may be a good fit if you have: - A Bachelor’s degree in Computer Science, Software Engineering or comparable experience - Proficiency in Python and Typescript - An ability to work across the stack - Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: - 8+ years of experience in a software engineering position - Have experience with integrity, spam, fraud, or abuse detection and mitigation - Have experience building trust and safety detection mechanisms and intervention for AI/ML systems - Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs - Have worked closely with operational teams to build custom internal tooling 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 - $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.
Director, Infrastructure Lease Accounting
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 Director, Infrastructure Lease Accounting to lead technical accounting for our most complex infrastructure and energy arrangements — the data center leases and related structures underpinning our recently significant investment in American computing infrastructure. As we continue our rapid growth, you will ensure the financial statement accuracy of the most technically complex contracts we enter into. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic accounts for the highest-stakes arrangements underpinning our compute and energy portfolio. You will serve as the technical accounting subject matter expert for arrangements spanning data center leases (ASC 842), and counterparty or joint-venture structures (ASC 810 VIE analysis). You'll work closely with Real Estate, Legal, Finance, and external auditors to ensure accounting implications are understood before commitments are made. Responsibilities - Serve as the technical accounting subject matter expert for Anthropic's most complex infrastructure arrangements, leading classification, measurement, and subsequent accounting judgments - Apply ASC 842 to complex lease arrangements, including lease identification, modifications, reassessments, and embedded leases within compute, colocation, and data center contracts - Apply ASC 810 to counterparty and joint-venture structures, including variable interest entity (VIE) analysis for special purpose entities - Apply ASC 815 to energy and infrastructure arrangements, including consideration of embedded derivatives - Lead technical accounting analysis and memo preparation for new arrangements, ensuring positions are well-reasoned, supported, and auditor-ready - Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made - Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on - Serve as a key point of contact with external auditors on technical accounting matters within your portfolio - Mentor accounting professionals across the Infrastructure Accounting team on technical accounting matters - Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of technical accounting work Minimum qualifications - Have 12+ years of progressive experience in accounting, with meaningful time in a technical accounting role - Hold a Bachelor's degree in Accounting or Finance; CPA required - Possess strong technical accounting knowledge of ASC 842 (leases), ASC 810 (consolidation, including VIE analysis), and ASC 815 (derivatives and hedging), applied to real arrangements - Have a track record of authoring and defending technical accounting memos on complex, judgment-intensive arrangements - Demonstrate strong analytical abilities and comfort working with large, complex contracts and datasets - Have a track record of improving scalable technical accounting processes in fast-moving environments - Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders - Communicate clearly and influence effectively across cross-functional partners — Real Estate, Legal, Finance, and Procurement - Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency Preferred qualifications - Background in a Big 4 technical accounting practice (SEC reporting / technical consultation) combined with industry experience - Experience at hyperscalers, utilities, or energy companies with meaningful PPA, REC, or commodity-arrangement exposure - Experience with renewable energy contracts, carbon markets, or related clean-energy accounting frameworks - Exposure to data center and compute-related infrastructure arrangements (including colocation, dark fiber IRUs, and equipment leases) - Experience with lease accounting software and derivative / hedge accounting systems at scale - SQL proficiency for querying and analyzing large contract and accounting datasets - Knowledge of AI/ML infrastructure and associated cost structures - Experience applying AI tooling (including Claude) to technical accounting research, memo drafting, or close automation - Proven ability to navigate ambiguity and drive results in rapidly changing environments 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: $230,000 - $300,000 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.
Director of Events Management
About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Global Events & Experiences team brings people together around OpenAI’s technology, ideas, and mission. Our experiences deepen understanding, build trust, and create meaningful connections across the communities we serve. Our work spans developers, startups, founders, enterprise customers, executives, researchers, policymakers, media, and more. We lead with curiosity, thoughtful hospitality, and a deep commitment to shining the spotlight on others. About the Role We are looking for a Director of Events Management, reporting to the Global Head of Events, to lead the event management arm of our team. You’ll oversee a diverse portfolio, from flagship conferences and developer programs to executive gatherings, research events, and policy and media engagements. This is a people manager role leading an approximately 10-person, high-performing, high-agency team. You’ll invest in their growth and give them the clarity and autonomy to do strong work, supported by efficient team operations, effective agency partnerships, and sustainable workloads. Working under the Global Head of Events, you’ll lead the team in translating business priorities into event experiences that tell compelling stories through OpenAI’s products and partners. Partnership with Creative Production and Technical Production leaders will connect planning and delivery. In this role, you will: - Lead, mentor, and develop the team through clear goals, candid feedback, career support, and company context. Make tough calls on priorities and performance when needed, while maintaining trust, agency, and high standards. - Partner with the Global Head of Events to prioritize projects, assess new requests, and allocate capacity across the portfolio, surfacing tradeoffs and recommending what to pursue, sequence, or defer. - Build efficient, consistent operations through clear intake, briefs, project plans, approval paths, and reusable tools and playbooks that reduce duplicated effort and make ownership visible. - Manage agency partnerships, including selection, scopes of work, onboarding, and performance reviews. Set clear expectations for quality, cost, and accountability in partnership with Procurement, Legal, and production leads. - Build a deep understanding of each audience’s needs and expectations, and guide the team in translating those insights into thoughtful hospitality, accessible experiences, and relevant content. - Become an expert in OpenAI’s brand and what people should leave events thinking and feeling. Bring a clear point of view on what great looks like and what we want OpenAI to be known for, and sharpen it with the team. - Align cross-functional partners across Marketing, GTM, Product, Research, Global Affairs, Communications, and executive teams on event goals, audiences, messaging, and decisions. - Partner with Creative Production and Technical Production leaders on clear responsibilities, handoffs, and shared plans, ensuring event management needs are integrated into delivery. - Maintain visibility into budgets, timelines, dependencies, and risks across the portfolio. Help teams resolve issues early, navigate competing needs, and escalate consequential decisions with clear recommendations. - Establish practical measures of event outcomes and operational health. Share progress and learnings with leadership, and turn audience feedback and post-event reviews into improvements across the team. You might thrive in this role if you: - Have 14+ years of experience in event management, including leading complex event portfolios and managing teams. - Bring substantial experience leading complex event portfolios across audiences and formats, with a track record of building capable teams and delivering through others. - Are a thoughtful people leader who builds trust, coaches with care and candor, handles difficult conversations constructively, and creates a collaborative, low-ego team culture. - Have a systems-oriented approach to operations, with strong judgment about which processes create clarity and efficiency and where flexibility serves the team better. - Know how to build effective agency relationships and manage scopes, budgets, and performance while protecting quality and using resources responsibly. - Communicate clearly and influence across functions and seniority levels, bringing calm judgment to ambiguity, competing priorities, and high-visibility work. - Are curious about AI and motivated by OpenAI’s mission, with a strong instinct for storytelling, hospitality, and experiences that respect the needs of different audiences. Workplace and Location This role is based hybrid in San Francisco. Occasional travel will be required. 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.
Manager, Field Engineering
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. We're hiring a Manager, Field Engineering to lead a team of Field Engineers driving technical evaluations and production adoption of Fireworks' inference and fine-tuning platform. This is a player-coach role — you'll manage and grow a distributed team of hands-on engineers while staying deeply technical yourself, leading engagements end-to-end at some of the most ambitious AI-native companies and enterprises. As Manager you will be a critical link between the field and the rest of the company: coaching your field engineers in real time, unblocking complex evaluations, and ensuring every customer engagement meets a high technical bar across latency, throughput, cost, security, and scalability. You'll work closely with regional sales leadership to scale the engagement model, codify the playbook, and build the team. This is a hands-on leadership role. Your credibility with field engineers comes from having built production AI systems with customers, not just having managed people who did. You will still get in the weeds when the stakes are highest with shipping POCs, performance optimizations, co—lead training engagements with our research team and debugging alongside your team. What You'll Do - Lead, coach, and grow a distributed team of Field Engineers — hiring, onboarding, developing, and holding a high bar for technical excellence and customer outcomes - Own your team's engagement portfolio: allocate the right engineers to the right pursuits and ensure consistent execution across discovery, demos, POCs, and production integrations - Lead complex evaluations end-to-end (discovery → architecture → POC → production plan), personally stepping in on the highest-stakes or most technically challenging deals - Coach AEs and Field Engineers in real time to improve deal quality and close outcomes — reviewing architectures, sitting in on calls, and running sharp post-mortems on wins and losses - Build and refine the Field Engineering playbook: discovery frameworks, POC templates, reference architectures, and reusable field artifacts - Serve as the voice of your team and customers internally — systematizing field insights, influencing the product/engineering roadmap, and translating recurring pain points into concrete platform improvements - Partner with revenue leadership on pipeline health, forecast calls, and territory planning for your region - Stay hands-on when it matters: build/ship alongside your engineers (POCs/MVPs, load testing, eval + fine-tuning pipelines, model-serving choices across vLLM/SGLang/TensorRT-LLM) and ensure strong post-sales handoffs for onboarding and adoption - Track and improve your team's operating metrics — win rates and velocity, POC cycle time, utilization, and customer adoption outcomes You May Be a Fit If - You have 8+ years of overall experience, including 2+ years managing Field Engineering, Solutions Engineering, Forward Deployed Engineering, or Pre-Sales teams , with hands-on experience in enterprise software or AI infrastructure - You have a strong technical foundation and fluency in the LLM stack : inference trade-offs, model serving, fine-tuning workflows (SFT; DPO/RFT a plus), and deploying models on GPU infrastructure across AWS, Azure, and GCP - You have demonstrated ability to build production software with customers , not just advise on it — you have shipped code running in someone else's production environment and can still do it when a deal demands it - You have a track record of developing engineers — coaching, giving direct feedback, and growing individual contributors into senior and lead roles - You have proven your ability to partner effectively with Sales while maintaining technical integrity and customer trust in high-stakes deal environments - You have strong communication skills — able to run a sharp discovery call, present to a VP or CTO, and debug a latency issue with an ML engineer in the same afternoon - You have a builder mindset : you thrive in fast-moving, startup environments and enjoy creating structure where little exists - Willingness to travel (up to ~30%) for customer engagements and team onsites You Excel In These Key Competencies - Technical depth with coaching instinct: able to both architect the solution and teach the engineer next to you why it's right - Operational rigor: able to run a portfolio of concurrent engagements and hit consistent execution across the team - Deep familiarity with the AI inference, fine-tuning, and production GenAI market and ecosystem - Sophisticated understanding of enterprise cloud platforms and complex integration environments, with the ability to translate technical architecture into business value - Strong written and verbal communication — internal docs, exec-ready summaries, and customer-facing technical artifacts that are sharp and clear - Commercial instincts: able to size opportunities, understand deal dynamics, and align your team's effort to revenue acceleration - Comfort with ambiguity: creates process where none exists without slowing the team down Our Mission & Culture Our mission is to make AI inference fast, affordable, and production-ready for every developer and enterprise. Our organization is flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. We are building a Field Engineering organization in that same image — engineers who lead with credibility earned in the codebase and the customer's infrastructure, who compress the feedback loop from field to roadmap, and who treat every customer deployment as a chance to make the platform better for everyone. 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.
GTM Enablement - Global Onboarding & Operations
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 As the Global Onboarding & Enablement Operations Program Manager at ElevenLabs, you’ll help keep our global GTM onboarding and enablement programmes running smoothly as we grow. You’ll lead the day-to-day delivery of onboarding, making sure every new GTM hire gets a consistent, engaging start, while building the structure and processes that help the wider Enablement team work more effectively and scale its impact. You’ll bring structure to how we plan, deliver and measure enablement, from tracking OKRs and roadmaps to coordinating the enablement calendar, launches and certifications. You’ll also help keep the team aligned on priorities, manage cross-functional dependencies and use reporting to understand what’s working and where we can improve. Working closely with the Sales Enablement lead and partners across GTM, RevOps, Product Marketing and People, you’ll help turn priorities into well-run programmes that meet the needs of the business. This role is a great fit for someone who enjoys bringing order to complex projects, delivering engaging training and finding practical, creative ways to solve problems. - Own GTM onboarding: Manage onboarding cohorts end to end, from scheduling and communications to facilitating live sessions, coordinating speakers and gathering feedback. Ensure new hires across regions have a consistent, engaging experience. - Develop and maintain learning content: Create training materials and e-learning modules, and keep existing content across WorkRamp and Enablement OS accurate, relevant and easy to navigate. Work with subject matter experts to turn complex topics into practical learning experiences. - Coordinate certifications and enablement launches: Own the launch and certification calendar, keeping new programmes, certifications and learning initiatives moving and tracking milestones, completion and follow-up actions. - Measure programme performance: Maintain dashboards and reporting on onboarding, certifications, ramp metrics and team OKRs. Use the data to highlight progress, identify gaps and help the team understand where to focus. - Own Enablement operations: Run OKR and roadmap tracking, the enablement calendar, and the team’s operating rhythms (planning, check-ins and reviews). Track dependencies across RevOps, Product Marketing, People and Product, flag risks early, and keep clear ownership, timelines and follow-through on every workstream. - Support major enablement events: Help plan and deliver events such as Sales Kick-Off (SKO), including session coordination, timelines and the run of show. Requirements - Experience running onboarding, training or enablement programmes in a fast-moving GTM, sales or commercial environment. - Strong facilitation and presentation skills, with the confidence to lead live sessions, engage different audiences and make complex topics clear and actionable. - Experience developing training materials and e-learning content that help people understand and apply new skills. - Experience building and running team operations, such as OKR and roadmap tracking, and operating rhythms, with the ability to coordinate dependencies across teams and keep many stakeholders aligned.. - Experience building or maintaining dashboards, trackers and reporting processes, with the ability to use data to measure progress and inform decisions. - Familiarity with learning management systems (LMS), such as WorkRamp, and an understanding of how to manage learning content and track completion. - A strong passion for using AI tools and agents, with hands-on experience applying them to automate repetitive tasks, improve processes and find smarter ways to work. - A creative, curious approach to problem-solving, with the initiative to question existing ways of working and explore better solutions. Bonus - Experience supporting a company-wide event, such as Sales Kick-Off. - Experience working at a high-growth technology or AI company. - Familiarity with Salesforce, Gong or other GTM reporting tools. 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: - Leading Enablement operations and onboarding as the team and the number of regions grow. - Moving into a broader Revenue Operations, program management or enablement strategy role. Location This role is remote-first and ideally based on the East Coast of the US. The ability to operate in US Eastern (GMT-5, GMT-4) timezones is required. If you prefer, you can work from our office in 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.
Founding Emerging Talent Recruiter
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. Role overview You’ll be LangChain’s first Emerging Talent Recruiter, and you’ll build our intern and new grad program from scratch. Many of the best early-career engineers already build on LangChain and LangGraph. Your job is to hire them first and turn schools, student groups, and campus communities into a lasting pipeline for LangChain. What you’ll do - Stand up and scale intern and new grad hiring, starting with engineering. - Build partnerships with universities, career centers, student groups, and hackathons. - Own full-cycle recruiting for interns and new grads, grow into supporting full cycle recruiting for other technical teams - Work with leaders to forecast hiring needs and tie each cohort to company priorities. - Set up the processes, tools, and metrics we’ll use to track and improve the program. - Support with talent brand and marketing initiatives. What you’ll need - 4+ years of recruiting experience, including 2+ in university or early-career recruiting at a high-growth company. - Experience building or scaling an intern or new grad program, with numbers to show for it. - Strong relationships with universities and outside partners. - Ability to work independently, run several hiring cycles at once, and make decisions with data. - Clear communication, including explaining LangChain’s mission to early-career engineers. Nice to have - Experience recruiting engineering, product, or data talent. - Time at an early-stage or venture-backed startup. - Experience running campus events, hackathons, or technical programs. What we offer - A blank page. You’re our first hire in this role. You decide how we find, hire, and grow early-career talent. - A product students already use. Many of the engineers you’ll recruit already build with LangChain and LangGraph, so you start with real credibility on campus. - Room to grow. We’re about 400 people and still growing fast. As the program grows, your scope grows with it. - A team that moves. We aim high, ship early, and say what we see. You’ll work with recruiters and hiring managers who move quickly and care about the details. Compensation - Annual salary range: $135,000- $190,000 - Competitive benefits & equity - Flexible time off - monthly stipends for technology and health Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Engineering Manager, Cohere APIs and DevEx
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? In this role, you will manage the team that owns the Cohere inference APIs and SDKs, as well as the Cohere Dashboard, where customers can access our models, manage teams, and audit billing. You will collaborate with internal partners to craft a delightful, intuitive, and unified experience across everything the Cohere APIs and Cohere Dashboard have to offer. As a hands-on leader, you will shift seamlessly between roles as mentor, strategist, and technologist to guide the team toward shared success. Join our team of builders who are shaping the future of large language models! As an Engineering Manager of the Cohere APIs and DevEx team, you will: - Manage, mentor, and grow a talented and enthusiastic team of backend and full-stack software engineers - Participate in model releases and develop new API capabilities - Work closely with Modelling and Model Serving teams - Collaborate with UX designers to ensure customers have an easy and delightful time managing teams, API keys, billing and configurations. - Oversee and contribute to open source projects You may be a good fit if: - You have experience managing engineering teams and a proven track record of delivering high-quality software - You have experience shipping products with a large number of stakeholders - You’re comfortable with the front and back end of the stack, and have previously worked with Go, Next.js, TypeScript, and React - You are passionate about recruiting and growing people and teams - You are passionate about building rapport with your team and you prioritize 1:1s - You have excellent communication skills and believe that documentation is a great way to get feedback and discuss technical implementations and designs - You have the ability to take complex needs and goals and develop easy to understand explanations for all audiences - You’re excited about AI and have the motivation to scale a company Full-Time Employees at Cohere enjoy these Perks: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form , and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.
IP Rights Manager
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. The Role As an IP Rights Manager on the IP & Licensing team, you will own the operational backbone of how Mistral manages rights, obligations, and restrictions across the datasets we license. This role sits at the intersection of copyright, data protection, and AI, and exists because the volume and complexity of our data agreements have outgrown manual processes. You will work closely with the colleagues who negotiate our agreements commercially and legally, translating their work into systems, workflows, and databases that keep us compliant and scalable. The IP & Licensing team is responsible for all content and data licensing at Mistral. Your work will directly determine whether we can use the data we acquire, how we track what we are allowed to do with it, and whether our clients and partners stay within the rights we grant them. You will build the infrastructure that makes legal analysis repeatable, not just advisory. Your scope spans the full lifecycle of data-related agreements: clearing inbound data usage requests, codifying contract terms into structured metadata, tracking ongoing compliance obligations, and automating reporting. You will also design and run AI-powered workflows that handle contract review assistance, obligation extraction, and renewal alerts, turning legal judgment into scalable operations. What You Will Do - Clear inbound data usage requests by researching rights status, scope, obligations, and restrictions before data enters Mistral systems. - Review data-related agreements and codify their key terms into structured metadata, maintaining the team's template library and playbook alongside Legal. - Determine whether specific AI use cases are covered by third-party agreements, identify gaps, and recommend contract amendments. - Build and maintain a central database as the single source of truth for every signed data-related agreement, covering permitted uses, confidentiality, and re-use permissions. - Track ongoing compliance obligations and automate reporting, including renewal alerts and master licensing partnership administration. - Develop and run AI workflows for contract review assistance, obligation extraction, and compliance monitoring. - Verify provenance, ownership, and consents for acquired data, flagging obligations that must be tracked. - Monitor that Mistral clients and partners operate within granted rights, administering the approval system that enforces legal restrictions. What We're Looking For - A bachelor's degree in law, publishing, information science, business, or a related field. - 2 to 5 years of experience in copyright, permissions, licensing, legal operations, or contract administration, ideally in an AI, tech, or data-driven environment. - Solid working knowledge of EU and US copyright law and contract administration, with demonstrated ability to interpret contracts independently. - Strong attention to detail and discretion when handling confidential agreements. - Clear written and verbal communication skills, with the ability to explain legal constraints to non-lawyers. - A legal-ops mindset: you take initiative, anticipate needs through ambiguity, and think about how to operationalize legal analysis at scale. - Comfort building agentic AI workflows in a complex enterprise environment; you are an AI power user, not just a consumer. - Fluency in French, German, Spanish, or another European language is a plus, as is experience with CLM tools like Ironclad, prior work setting up AI workflows in a legal team, or contracting experience with publishing houses. 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 .
Campaign Creative, Product Marketing
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 North America — we also have offices in NYC, London, San Francisco, Paris and Seattle. We’re looking for a Creative with a focus on campaigns for Product Marketing. This is not a growth role. It’s a hands-on campaign creative role for someone who makes the work themselves, with AI as their primary medium. You’ll own full-funnel launch campaigns for Runway’s products, features and research: launch films, key visuals, landing pages, lifecycle emails, onboarding flows and everything in between. You’ll report to the Creative Director of Product Marketing. We’re open to creatives who lead with art direction or with copy. What matters is that you make the work yourself and can move across both. Your work will directly shape how people discover, understand and adopt what Runway builds. That means work with real taste that stops people mid-scroll, makes new research feel tangible, and turns curiosity into first use. You’ll also help build the workflows and automations that let a small team ship at the pace of the product. You’ll partner closely with product marketing, design, research, growth and product teams. What you’ll do - Build full-funnel launch campaigns end to end: the idea, the script, the boards, the generation, the edit, the finish. - Make launch films, key visuals and campaign systems that hold up next to the best brand work in the world. - Turn research breakthroughs into work people outside the field can feel, not just read about. - Extend each campaign across every surface (landing pages, social, email, in-product) without losing the idea. - Work at the pace of the product: several launches at once, fast timelines, quality never optional. - Build the machine behind the work. Turn what you make into reusable prompts, workflows and automated pipelines, so every campaign starts further ahead than the last. - Treat every new model as new creative territory, and show the team what’s now possible before anyone asks. What you’ll need - 4+ years making creative at an agency, studio or brand, with real campaigns shipped for real clients. - A portfolio that proves taste first. AI-generated or AI-assisted work should be central to it. - Fluency with image and video models, plus the craft tools to finish (editing, compositing, design). - Art direction instincts: casting, styling, light, composition, type and pacing. - A strong lead discipline (art direction, motion/edit or copy) and comfort across the others. - A builder’s mindset. You’ve chained tools together, automated the repetitive parts, or built workflows others use. - The range to move from a cinematic launch film to a single perfect frame in the same week. Bonus points - Experience launching creative tools, AI products or research. - You’ve already built something interesting on Runway. 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
Senior Commercial Counsel, Enterprise
Perplexity is looking for a senior commercial attorney to join our Legal team. We are looking for an independent, business-practical yet diligent-minded professional who can carry live deals, extend the infrastructure we have already built, and hold the line on the terms that matter as deal volume, complexity, and regulatory surface all grow. You will negotiate directly with large enterprise customers across a large variety of industries including financial services, healthcare, government, and other regulated industries, partner daily with Enterprise Sales, Partnerships, Deal Desk, Security, Privacy, Product, and Finance, and advise on the legal questions that come with agentic, retrieval, and API products deployed inside enterprise environments. This is a high-impact, hands-on role for someone who is genuinely a self starter. This role is for you if you get energy from ambiguous, first‑of‑their‑kind problems and enjoy designing repeatable approaches that scale. You default to enabling the business, frame risk in practical terms, and focus on durable structures rather than one‑off fixes. Responsibilities - Independently lead end-to-end drafting, review, and negotiation of Enterprise customer agreements across our suite of offerings: Enterprise Pro, Enterprise Max, Computer, and API product lines, including MSAs, order forms, SaaS and API terms, DPAs, BAAs, security exhibits, customer-paper redlines, product-specific addenda, and public-sector vehicles such as GSA MAS orders and federal RFP responses. - Serve as a trusted legal partner to Enterprise Sales, Partnerships, Deal Desk, and Customer Success, providing fast, practical, business-aligned counsel that accelerates deal velocity, protects the terms that matter, and scales as the Sales organization grows. - Extend and maintain the existing Enterprise negotiation playbook, DPA and Privacy Notice architecture, product-specific term libraries, and fallback positions as our product surface, customer mix, and regulatory environment evolve, so that positions compound into reusable precedent rather than being re-litigated deal by deal. - Advise on AI-specific contract terms for enterprise deployments, including bespoke data postures; negotiate output ownership and liability, agentic-feature risk allocation and translate product operations into enterprise contract commitments. - Partner cross-functionally with Product, Engineering, Security, Privacy, Finance, and Compliance to surface and address legal risk early, particularly on customer-data flows, enterprise integrations, model routing, and customer-specific compliance requirements. - Monitor the evolving regulatory landscape for enterprise AI, data protection, and public-sector procurement (GDPR, CCPA/CPRA, HIPAA, DORA, EU AI Act, sector-specific frameworks) and translate emerging requirements into practical contractual positions and updated playbook guidance. - Represent Perplexity Legal externally on customer negotiation calls with counterparty counsel at sophisticated enterprises. What we are looking for - Exceptional communicator who owns deadlines, proactively manages internal and external expectations, and escalates early and clearly to protect deal timelines and momentum. - A proactive problem‑solver who defaults to “yes, and” when engaging with internal stakeholders: you look for ways to make deals work, frame risk clearly, and design long‑term, scalable solutions. - A disciplined drafter who favors surgical, minimal‑footprint edits over wholesale rewrites, grounds positions in documented rationale, and preserves material legal meaning and risk allocation under time pressure. - Someone who can articulate complex legal risk and concepts in the form of simple, actionable terms for non‑legal stakeholders, leads with practical “how to make this work” advice, and designs creative, long‑term solutions to novel, cutting‑edge challenges. - Someone genuinely excited by novel, cutting‑edge challenges in AI products and the commercial and regulatory questions they surface, and who enjoys turning ambiguity into clear, reusable approaches. Qualifications - JD and in good standing with an active U.S. state bar membership. - At least 7+ years of combined law firm and in-house experience, with a substantial in-house component, and a demonstrated track record of independently owning complex enterprise SaaS or API deals from the vendor side, including work with regulated-industry customers (financial services, healthcare, or government). - Experience advising on commercial terms and pricing structures for high‑growth SaaS/API businesses, including usage‑based and tiered pricing, pilots, and expansion frameworks. - Familiarity with data protection and security frameworks (GDPR, CCPA/CPRA, DORA, EU AI Act) and hands-on experience negotiating DPAs. - Strong business acumen and the ability to partner effectively with Sales, Deal Desk, Product, Security, and executive stakeholders on live deals under time pressure. - Proven ability to triage and progress multiple concurrent deals under tight timelines while maintaining rigorous diligence, clear risk assessment, and high‑quality documentation. - Demonstrated ability to build and extend durable legal infrastructure — playbooks, templates, precedent repositories, or self-serve tools. - Ability to communicate clearly with business and technical audiences and to translate legal concepts into usable guidance for non-lawyers, including Sales and Deal Desk. - Hands-on, can-do approach to tackle projects large and small, low-ego approach to working closely with the Director and across the organization, and judgment about when to escalate and when to close. - Positive collaborative attitude, comfort with ambiguity and a fast pace, high level of integrity, and intellectual curiosity about AI technology. Nice to have - Prior experience with public-sector contracting or with on-prem deployment structures. - Experience with AI-native contracting questions related to agentic products - Experience with contracting with regulated entities (financial institutions or health care), especially in the EU/UK.
Member of Technical Staff (Software Engineer, Frau...
About the role Perplexity's fraud prevention team protects our products, users, and infrastructure from fraud and abuse across the whole lifecycle: sign-up, authentication, payments, API usage, and product features. We build and operate a real-time decisioning platform together with the surrounding systems: data pipelines for detection and model training, integrations with product and payment systems, and internal tooling for investigation and response. As a software engineer on the team, you will own services end to end, from design to production operations, and work closely with fraud analysts, ML engineers, and product teams to make abuse expensive and legitimate usage frictionless. Responsibilities - Design, build, and operate high-throughput, low-latency backend services for fraud detection and prevention - Build data pipelines and real-time feature computation that power detections and ML models - Collect and process trust signals - Integrate fraud decisions into product, auth, and payment flows across Perplexity - Own reliability of production services: observability, alerting, safe rollouts, incident response - Build internal tooling for investigation, enforcement, and auditability - Partner with fraud analysts to turn new abuse patterns into production detections quickly Qualifications - 5+ years building and operating high-throughput, latency-sensitive backend systems in production - Strong systems programming skills; Rust, Go, or C++ experience preferred (we write Rust) - Hands-on experience with Kubernetes, Terraform and cloud infrastructure - Solid data fundamentals: stream/batch computations, caching and storage trade-offs - Pragmatic, ownership-driven approach: ship incrementally, measure, and make failures degrade safely Nice to have - Fraud prevention, anti-abuse, or payments-risk domain experience - Experience serving ML models in production - Client-side experience (web or mobile) for signal collection
Manager, Government Affairs & Public Policy - Japa...
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Cohere is a fast-growing company in the extremely dynamic artificial intelligence space. We are building a Government Affairs and Public Policy (GAPP) team that has the drive and experience to engage in and shape a nascent and unique policy environment for enterprise AI. We seek a Government Affairs professional to lead our Japan government affairs strategy. Candidates will have a proven track record, are analytical, collaborative, driven, and possess a passion for digging deep into the new and evolving public policy debate at the intersection of enterprise technology and artificial intelligence. There is no better time to join us in building this function as we shape the future of AI in Japan and across the region. As our Manager of Government Affairs & Public Policy, Japan you will: - Lead Japan Advocacy : Partner closely with Cohere’s senior leadership, legal, public policy, and responsible AI teams to develop, coordinate, and implement a government affairs strategy across national, prefectural, and municipal levels in Japan. - Dig Deep on AI Policy : Serve as the internal and external expert on Japan’s AI policy while monitoring key regulatory shifts. You will proactively report on trends and work with cross-functional teams to craft thoughtful responses to governmental initiatives, regulatory issues, and legislative drafts that impact Cohere’s business. - Bridge the Corporate and Political : Leverage your dual experience in both the political and corporate spheres to translate technical and business objectives into effective policy advocacy. - Cultivate Key Relationships : Guide and coordinate Cohere’s political engagement by cultivating deep relationships and representing the company with key lawmakers, regulators, and trade bodies. - Support Strategic Growth : Work closely with public sector sales teams in shaping technology and procurement policies in regulated sectors, ensuring Cohere is a trusted resource and partner for government stakeholders. - Manage External Partners : Direct government relations consultants and trade associations in Japan. - Ensure Compliance : Oversee compliance of all lobbying and political activities with relevant laws. You may be a good fit for this career opportunity, if you have: - Native fluency in Japanese and English. - Political & Corporate Experience : 10 to 12+ years of proven leadership experience blending corporate government affairs roles within the technology sector and direct political or government experience. - Deep AI Policy Expertise : Exceptional ability to dig deep on artificial intelligence policy, its applications and its risks, with a proven track record of shaping relevant tech policies and regulations. - National Security & Regulated Industries Background : Prior experience in or working closely with the defense sector, cybersecurity or national security apparatus is highly preferred given the strategic importance of AI to these fields. Experience working with regulated industries is also preferred. - Procurement Experience : Proven experience supporting public-sector sales and government procurement teams is highly preferred. - Bias for Action: A growth mindset and a self-starter attitude with the ability to work independently, prioritize issues, and push projects over the finish line. - Excellent written and verbal communication skills : A proven ability to distill complex AI policy into compelling documents, thought leadership, and briefings for a variety of audiences. - Educational background : Bachelor's degree in a related field. Full-Time Employees at Cohere enjoy these Perks: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form , and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.
Creative Advisor - Human Frontier Collective
About the Collective The Human Frontier Collective (HFC)’s mission is to bring the world's best minds to shape the future of AI. As a Creative Advisor , you’ll bring your creative practice into direct collaboration with Scale’s research and ML teams. You’ll help them understand how work gets made in your field, develop new work together, and provide feedback on how AI models support—or fall short of—real creative processes. What You’ll Do - Connect with other creators: Meet and learn from creatives and researchers across HFC and your industry. - Shape work in your domain: Share the taste, judgment, methods, and creative decisions behind your practice to help inform model development. - Create alongside the team: Collaborate on briefs and develop new work that helps explore what models can and cannot do in your field. - Partner with ML and research teams: Define what “good” looks like in your field, review model outputs, flag where AI falls short, and give feedback that shapes how models learn your craft. - Help peers understand the opportunity: Introduce other creators in your field to the program and share your experience contributing work. Who Should Apply We’re looking for leading creators in their field who are interested in shaping AI and how it’s changing creative work. No AI experience needed. Your expertise in your craft matters most, and being connected to others in your field is a plus. This is a paid, part-time role with a flexible schedule. Why Join - Have a voice: Contribute your subject-matter expertise and perspective in your domain. Build the future by shaping frontier models. - Collaborate across disciplines: Work with ML and research teams and connect with other leading creatives. - Explore new creative possibilities: Make new work through paid, commissioned briefs that challenge what models are capable of doing. - Get paid for your expertise: Paid $300 hourly, with compensation, time commitment, and project scope shared during your interview. Application Process - Apply: Share your background and a link to your portfolio. Applications are reviewed on a rolling basis. - Portfolio Review: Share one past project you’re proud of. Nothing is used without a signed agreement and payment, and we’ll follow up with next steps. - Meet the Team: A paid conversation with our research and ML team to walk through your work. - Get Started: Successful candidates are invited to join the Human Frontier Collective as a Creative Advisor. 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.
Post-Silicon Validation Engineer, New Grad
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About the Team The Post-Silicon Validation team brings up, debugs, and validates the high-speed IO and memory subsystems in SambaNova systems. We characterize and stress test silicon, root-cause issues across silicon, board, and software, and build our own debug tools and automation. About the Role As a new grad Post-Silicon Validation Engineer, you'll test new RDU silicon in the lab. You'll run characterization and stress tests on interfaces like PCIe, Ethernet, and HBM, write Python scripts to automate testing and analyze results, and help debug issues with the design, firmware, and system teams. Responsibilities - Run functional, characterization, stress, and performance tests on high-speed IO and memory subsystems - Write scripts to automate validation, debug, and data analysis - Help debug issues across silicon, board, and software with design, firmware, and system teams - Use lab equipment such as oscilloscopes and protocol analyzers to diagnose failures - Support bring-up of new silicon and systems - Feed findings back to pre-silicon verification to improve coverage Required Qualifications - B.S. in Electrical Engineering, Computer Engineering, or related field - Coursework or project experience in digital design, computer architecture, or high-speed interfaces - Scripting experience in Python or bash - Strong analytical and data analysis skills Preferred Qualifications - M.S. in Electrical Engineering, Computer Engineering, or related field - Familiarity with PCIe, Ethernet, HBM, CXL, or UCIe - Hands-on lab experience with oscilloscopes, protocol analyzers, or BERTs - Familiarity with SerDes concepts - Ability to read and debug C/C++ - Internship experience in validation, bring-up, or hardware test Base Salary Range: Base Pay Range $120,000 - $150,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Physical Design Engineer, New Grad
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About the Team The Physical Design team takes RDU designs through synthesis, place and route, and sign-off on TSMC advanced nodes. We develop and maintain the Cadence based flow, including Genus, Innovus, and Cerebrus, and work with designers and tool vendors to fix flow and design issues. About the Role As a new grad Physical Design Engineer, you'll run and improve our RTL to GDS flow on advanced process nodes. You'll write TCL and Python scripts to automate flow steps, help physical designers debug timing and congestion issues, and work with tool vendors on bugs. Responsibilities - Run synthesis and place and route using Cadence Genus, Innovus, and Cerebrus - Write scripts in TCL and Python to automate and improve the physical design flow - Help physical designers debug timing, congestion, and design rule issues - Work with tool vendors to report bugs and test flow improvements - Maintain flow documentation and regression testing Required Qualifications - B.S. in Electrical Engineering, Computer Engineering, or Computer Science - Coursework or project experience in VLSI or digital IC design - Understanding of the RTL to GDS flow, including synthesis and place and route - Scripting experience in TCL, Perl, or Python Preferred Qualifications - M.S. or Ph.D. in Electrical Engineering, Computer Engineering, or Computer Science - Experience with Cadence or Synopsys physical design tools - Familiarity with static timing analysis - Familiarity with physical design rules on advanced process nodes - Experience using AI tools such as Claude for flow development - Internship or tape-out experience, including class or university tape-outs Base Salary Range: Base Pay Range $120,000 - $150,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Design Verification Engineer, New Grad
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About the Team The Design Verification team verifies the RDU, SambaNova's chip for AI workloads. We build SystemVerilog and UVM environments for chip-level control and initialization, including sequencing, state transitions, clocking, and recovery, and work with architects, RTL designers, and firmware engineers. About the Role As a new grad Design Verification Engineer, you'll write testbenches, tests, checkers, and coverage in SystemVerilog and UVM for RDU features. You'll run regressions, debug simulation failures, and work with RTL designers to find and fix bugs before tape-out. Responsibilities - Write and execute verification plans for chip-level control and initialization features - Build SystemVerilog and UVM testbench components, including sequences, checkers, assertions, and functional coverage - Write directed and constrained-random tests to find corner cases - Debug simulation and regression failures with RTL designers - Analyze functional and code coverage and close coverage gaps Required Qualifications - B.S. in Electrical Engineering, Computer Engineering, Computer Science, or related field - Coursework or project experience in digital design and computer architecture - Experience with SystemVerilog or Verilog - Scripting experience in Python, Perl, TCL, or shell - Experience with UVM - Familiarity with constrained-random verification, functional coverage, and assertions - Familiarity with clock domain crossing concepts Preferred Qualifications - M.S. in Electrical Engineering, Computer Engineering, Computer Science, or related field - Experience using AI tools such as Claude for verification development and debug - Internship experience in design verification Base Salary Range: Base Pay Range $120,000 - $150,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Cloud Platform Engineer - New Grad
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About the Team The Cloud Platform team runs the production inference service that serves SambaNova's models to customers on RDU accelerators. We handle deployment, monitoring, capacity planning, and incident response across regions in the United States, Asia, Europe, and Latin America. About the Role As a new grad Cloud Platform Engineer, you'll write automation and infrastructure code that keeps our inference service fast and available. You'll build monitoring and dashboards, manage Kubernetes clusters and Terraform modules, help stand up new regions, and join a shared on-call rotation once you're ramped up. Responsibilities - Build monitoring, alerting, and dashboards in Prometheus, Grafana, and Datadog - Manage cloud and on-prem infrastructure as code with Terraform and Ansible - Operate and maintain Kubernetes clusters that run our inference workloads - Help automate setup of AI infrastructure in new regions - Build CI/CD pipelines that deploy new model versions and service updates safely - Participate in a shared on-call rotation and incident response Required Qualifications - B.S. in Computer Science, Computer Engineering, or related field - Strong programming or scripting skills in Python, Go, or a similar language - Familiarity with Linux and command line tools - Coursework or project experience in distributed systems, networking, or cloud computing - Understanding of networking fundamentals, including TCP/IP, DNS, and HTTP - Experience with Docker and Kubernetes - Experience with a public cloud provider such as AWS, GCP, or Azure - Experience with Terraform or other infrastructure as code tools - Experience with monitoring tools such as Prometheus or Grafana - Experience with CI/CD tools such as GitHub Actions, Jenkins, or ArgoCD Preferred Qualifications - M.S. in Computer Science, Computer Engineering, or related field - Familiarity with model serving frameworks such as vLLM or SGLang - Internship experience in site reliability, DevOps, or backend infrastructure - Open source project ownership or contributions Base Salary Range: Base Pay Range $1 - $999,999 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Model Partnerships - ElevenCreative
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 ElevenCreative brings together leading image and video models alongside our own audio models, so our users can make everything they need in one place. We are looking for someone to own our relationships with the model providers who make that possible, starting with video. You will be the main point of contact for our model partners, help bring new models to ElevenCreative, and build partnerships that are good for our partners, our users, and our business. You will work closely with product, engineering, finance, marketing, and sales. This is a green-field role. You will define how we work with model partners as the ecosystem grows. In this role you will - Build and manage relationships with image and video model providers. - Identify and evaluate new partners and models to bring to ElevenCreative. - Own the commercial side of our partnerships, working closely with finance. - Drive marketing including joint launches, campaigns, and co-marketing. - Work with product and engineering to shape which models we offer and when. - Support enterprise sales on partnership needs for large customers. - Stay close to the generative video landscape and the models creators and marketers want next. Who you are We are looking for someone who combines strong partnership skills with sound commercial judgment. You will thrive in this role if you: - Have 5+ years of experience in partnerships, business development, or commercial roles at a technology company, ideally in AI or infrastructure. - Have deep familiarity with the generative AI model landscape. - Are comfortable with numbers and can connect partnership decisions to business outcomes. - Can manage several partner relationships at once and build trust with senior stakeholders. - Have worked cross-functionally with product, engineering, finance, and marketing. - Can operate with US and European timezone overlap, with flexibility for partners in Asia. - Thrive in fast-moving environments where you define the playbook rather than follow one. Bonus - Experience working with AI model or API providers. - Familiarity with usage-based or credit-based pricing. - Experience running co-marketing or channel partnerships. Location This role is remote. The team operates across US and European time zones, so the ability to maintain meaningful overlap with both is important. 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.
GTM Enablement - Partner Program
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 As a Partner Enablement Program Manager, you'll build and run the ElevenLabs partner academy for systems integrators, hyperscalers and technology partners. You'll create curricula across sales, pre-sales and technical implementation, starting with ElevenAgents and expanding across ElevenCreative and ElevenAPI. You'll work closely with our regional Forward Deployed Engineers, who bring the technical expertise and set the technical quality bar. Your mission is to grow the program to 10,000+ certified partner professionals by the end of 2027, and to make the ElevenLabs certification a credential the tech ecosystem respects. As a Partner Enablement Program Manager, you can expect to: - Build curricula for partner sellers, pre-sales and implementation engineers: courses, hands-on labs and assessments. - Turn expert knowledge from our FDEs, sales and product teams into a world-class online academy. - Run the certification program end to end, from submissions and review workflows to certificates, with FDEs making the technical call. - Scale the program through automation, from automated agent review to bots and emails that support learners. - Deliver training online and in person, including sales and technical sessions at our partner hackathons. - Run program administration: the learning platform, partner onboarding tracks, reporting and learner feedback. Requirements We're looking for an enablement builder who is comfortable with both commercial and technical topics. You don't need to be the deepest expert in the room, but you need enough depth to work with senior engineers and sellers as subject matter experts and turn their knowledge into great learning. You'll thrive with us if you: - Are passionate about AI, technology and ElevenLabs products. - Have built enablement or training programs at scale for partners, sellers or technical teams. - Learn technical products quickly and can explain them to both technical and commercial audiences. - Can run a program end to end: learning platforms, timelines, stakeholders and reporting. - Can lead a session or workshop in front of sellers and engineers. - Have strong instructional design skills: you can turn expert content into clear courses, labs and assessments. - Enjoy turning repeat work into automations, tools and agents. - Have excellent communication skills and can adapt your message to different audiences. Bonus: - Experience as a forward deployed engineer, solutions engineer or in professional services for a frontier AI product. - Hands-on experience building LLM applications or voice and chat agents, and reviewing whether they are ready for production. - Familiarity with Python or TypeScript, APIs, webhooks and common integration patterns. - Telephony experience, such as SIP, Twilio or contact center platforms. - Experience at a systems integrator, hyperscaler or technology partner. - Experience with learning platforms such as WorkRamp. - Proficient in Spanish or Portuguese. 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: - Leading a partner enablement team as the academy grows. - Moving into partner program leadership or Solutions Engineering. Location This role is remote-first, so it can be executed from anywhere in North America, with the ability to operate in Americas timezones required. If you prefer, you can work from our offices in New York or San Francisco. 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.
Social Media Creative
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 North America. We have offices in NYC, San Francisco, and Seattle. We’re looking for an AI-Native Social Media Creative, a creative generalist who works natively with AI tools to produce exceptional short-form work for Instagram Reels, TikTok, YouTube Shorts and X. Your background might be in editing, directing, design, animation, art direction or writing. What matters is that you’re already deeply embedded in AI-assisted creative workflows and are pushing the boundaries of what these tools can do. Editing is the core of the role, and you know how to cut short-form video that holds attention from the first frame to the last. This is a making role. You’ll create work across formats, from short-form video and motion to design and editorial, using Runway’s products and the broader landscape of generative AI tools. Some days you’ll be cutting a launch-day Reel from generated footage. Other days you’ll be jumping on a trend the moment it breaks, building out tutorial content or exploring a creative application of a product feature no one’s tried yet. The output varies; the throughput and quality standard don’t. Much of your work will sit at the top of the funnel, often as someone’s first encounter with Runway. It needs to stop the scroll, perform with the algorithm and feel native to each platform. You’ll also work in real time, turning model releases, trends and cultural moments into fast, reactive content while they’re still peaking. You’ll sit within the creative department and report to the Social Media Lead. But the nature of the role means you’ll also work across product, research and marketing, often as the person who translates a product capability into a compelling creative artifact that’s geared to social audiences. What you’ll do - Create high-quality short-form video, motion, design and animation for Instagram Reels, TikTok, YouTube Shorts and X using AI tools, primarily Runway’s own products - Edit short-form content built to hold attention, from the opening hook through the final frame - Develop concepts and execute finished work, not just prototypes, from initial idea through final output - Create top-of-funnel content that stops the scroll and performs with each platform’s algorithm - Respond to trends, news and cultural moments with fast, real-time content - Explore and push the creative boundaries of generative AI tools, finding new techniques, workflows and visual languages - Produce content across brand campaigns, product marketing, social, tutorials and internal demos - Partner with product and research teams to translate new features and model capabilities into creative work that showcases what’s possible - Contribute to the team’s evolving creative process by sharing workflows, techniques and best practices as the tools themselves evolve What you’ll need - 4 to 8 years of professional creative experience in social, in editing, directing, design, animation, art direction, writing or a combination - Exceptional short-form editing skills, with a strong instinct for hooks, pacing and sound - A portfolio that demonstrates exceptional creative output made with AI tools, not just traditional work, and not just experimentation, but polished, intentional creative work - Deep, hands-on fluency with generative AI creative tools: you use them daily and understand their capabilities and constraints at a practitioner level - Strong visual and conceptual taste: you know what good looks like regardless of the medium or how it was made - Proven understanding of social media across Instagram, TikTok, YouTube and X, with a strong handle on trends, formats, strategies and what each algorithm rewards - Real-time instincts: you spot trends early and turn quality work around fast - Self-direction and creative initiative: you don’t wait for a brief to start making - Curiosity about the technology itself: you follow model releases, experiment with new tools and understand the trajectory of generative AI - Comfort working in a fast-moving environment where the tools, workflows and possibilities are changing constantly 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
Product Counsel
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 Product Counsel, you will be a hands-on legal partner to the teams building Claude for consumers and businesses. You'll work across Claude's apps, subscriptions, growth programs and enterprise offerings, moving to wherever the need is greatest. You'll learn from experienced product lawyers, get close to the product quickly, and take on more ownership as you go. This is a generalist role for someone who wants range, likes a fast pace, and is ready to do the routine work and the novel work with the same care. Key responsibilities - Partner with Product, Engineering, Design and other cross-functional teams to give clear, practical legal guidance from early ideas through launch - Review product launches across Claude's consumer and enterprise offerings, spotting issues early and helping teams find a path forward - Advise on subscriptions, pricing, promotions, billing and other growth programs, including consumer protection and marketing rules - Support enterprise and regulated-industry products on topics such as admin controls, customer commitments and enterprise readiness - Draft and review user-facing terms, disclosures, in-product copy and marketing claims - Pull in privacy, commercial, IP, safety and other specialists, then return one integrated answer to your product partners - Build guides, templates and AI-powered workflows so routine questions get answered quickly and the team can focus on novel ones - Pick up new areas as priorities shift, and help with incidents and escalations when they come up Minimum qualifications - Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based - At least 4 years of relevant legal experience, with exposure to technology, consumer or regulated products - Experience advising business or product teams directly, not only other lawyers - Working knowledge of at least two of: consumer protection, privacy, advertising and marketing law, technology transactions, IP, or regulated industries - Curiosity about how AI products work, and the ability to pick up technical concepts quickly - A habit of making a clear recommendation, even with incomplete information - Comfort moving between assignments as priorities change, with no job too big or too small - Clear, concise writing that non-lawyers can act on - Openness to feedback and a track record of improving quickly - Experience using AI tools in your legal work, or a strong interest in learning to do so - Empathy and a service orientation, with a real commitment to Anthropic's mission Preferred qualifications - In-house product counsel experience, or a secondment with a product team - Experience with subscription businesses, promotions, or consumer billing - Experience supporting enterprise SaaS or regulated customers such as healthcare or financial services - Experience building playbooks, self-serve guidance or legal automation Application Deadline: 6pm PT on Friday November 13, 2026. We encourage all interested and qualified applicants to submit their materials before this date to ensure full consideration. Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. 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 - $335,000 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.
Manager, Enterprise Sales - Pharma
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 the Sales Manager for Life Sciences at Anthropic, you’ll lead the foundational team introducing our frontier AI platform to the pharma and biotech ecosystem, spanning large pharma, mid-size and emerging biotech, and the organizations that support drug development. You’ll build and develop a team of Strategic Account Executives who drive adoption of safe, frontier AI by securing strategic deals with pharmaceutical and biotech companies. You’ll bring deep domain fluency in how drugs are discovered, developed, approved, and launched to coach your team’s consultative sales approach, while becoming a trusted advisor yourself to senior pharma and biotech stakeholders, helping them embed and deploy AI across the drug lifecycle from target discovery through commercialization. In collaboration with Product and Marketing, you’ll continuously refine the team’s value proposition, sales methodology, and market positioning to resonate with decision-makers across large pharma and biotech. The ideal candidate has a passion for developing new market segments within pharma and biotech, pinpointing high-potential opportunities across discovery, preclinical, clinical, regulatory, manufacturing, and commercial functions, and building a team that can execute strategies to capture them. By driving deployment of Anthropic’s emerging products across pharma and biotech organizations, you’ll help them accelerate the path from science to patients while advancing the ethical development of AI. Key responsibilities - Build and lead a specialized team of Strategic Account Executives covering large pharma and biotech accounts, setting growth targets by segment and coaching reps through the full sales cycle from outbound to close - Design and oversee sales strategies tailored to the distinct procurement cycles of pharma and biotech, including R&D and discovery budgets, clinical development and operations, regulatory and CMC investment, commercial budgeting, and enterprise IT and digital transformation programs, translating market and trend analysis into account plans and campaigns that meet and exceed team revenue targets - Identify and prioritize high-potential opportunities across target identification and drug discovery, preclinical development, clinical trial design and operations, regulatory affairs and submissions, medical affairs, manufacturing and quality (GxP), pharmacovigilance and drug safety, and commercial functions, partnering cross-functionally to differentiate Anthropic’s offering for pharma and biotech use cases - Run a disciplined pipeline and forecasting cadence across the team, managing an evolving sales process to deliver predictable, coachable performance against quota - Serve as Anthropic’s domain expert across the pharma and biotech value chain, including discovery research, IND-enabling studies, clinical trial operations, NDA/BLA regulatory submissions, tech transfer and manufacturing, post-market safety, and commercial launch, and translate that expertise into repeatable playbooks, frameworks, and go-to-market strategies your team and the broader field organization can scale - Partner directly with C-suite and senior R&D leaders (CEOs, CIOs, CDOs, CSOs, CMOs, Heads of R&D, Heads of Clinical Development, Heads of Regulatory, CCOs) across pharma and biotech organizations to design multi-year AI transformation roadmaps and build long-term trusted advisor relationships - Partner closely with Product and Applied AI to translate feedback from discovery scientists, clinical operations teams, regulatory and quality leaders, and commercial teams into product and roadmap input, strengthening Anthropic’s value proposition across the segment - Build strategic relationships with life sciences-focused system integrators, technology vendors, CROs, CDMOs, and industry organizations to scale go-to-market capabilities - Establish Anthropic’s position as the AI partner of choice across pharma and biotech through conference presentations, white papers, case studies, and participation in industry forums - Codify learnings into playbooks, templates, and best practices, partnering with Marketing and Enablement to scale winning use cases and proof points across pharma and biotech accounts Minimum qualifications - 10+ years of experience in life sciences, with at least 5 years specifically selling into or working within pharma or biotech organizations (R&D, clinical, regulatory, manufacturing, or commercial functions, or related consulting) - Experience in leadership roles managing or coaching enterprise sales teams, with a track record of driving measurable revenue outcomes in pharma, biotech, or adjacent life sciences settings - Deep understanding of business models, operations, and economics across pharma and/or biotech, including the drug development lifecycle, the regulatory environment (FDA, EMA, GxP, 21 CFR Part 11), and competitive dynamics - A track record of managing or overseeing complex, multi-stakeholder sales cycles within pharma or biotech organizations, securing strategic deals by understanding both technical requirements and scientific, regulatory, and commercial use cases - Proven experience exceeding revenue targets by effectively managing a team’s pipeline and an evolving sales process - Excellent communication skills, with the ability to present confidently across pharma and biotech audiences, from discovery scientists and clinical leaders to C-suite executives - A genuine interest in deploying AI responsibly and motivation to advance Anthropic’s mission of building safe, beneficial AI Preferred qualifications - Deep understanding of buying cycles, decision-making processes, and key pain points across both large pharma and biotech, and across multiple functions (R&D, clinical, regulatory, manufacturing, commercial) - A strategic, analytical approach to assessing the pharma and biotech market, paired with creative, tactical execution to capture opportunities and a willingness to roll up sleeves on deals alongside the team - Experience developing and refining AI use cases in collaboration with customers and channel partners, spanning drug discovery, clinical development, regulatory and quality, pharmacovigilance, manufacturing, or commercial functions - Experience building or scaling a specialized sales team from an early stage - Passion for and/or experience with advanced AI systems and their applications in drug discovery and development, with strong conviction around safe, ethical development of AI in these contexts 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 - $700,000 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.
International Finance Program Management
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 are seeking an International Finance Program Manager to join our International Accounting team in Dublin at Anthropic. In this role, you will drive execution excellence across a diverse portfolio of international expansion initiatives, standing up new go-to-market and infrastructure entities. You will partner closely with the Accounting, Tax, Treasury, Payroll and Finance Systems leads, functional business owners, and cross-functional teams to ensure initiatives are well-governed, on track, and delivering measurable business value. This role requires someone who can context-switch across multiple finance domains, establish lightweight but effective program management practices, and thrive in a fast-paced environment where priorities evolve quickly. You will be instrumental in helping Anthropic scale its international footprint so that every new entity is ready to operate and meet its obligations from day one. Responsibilities - Program Management: Manage a portfolio of international entity set-ups, ensuring clear prioritization, resource alignment, and delivery accountability across the Finance teams that own the deliverables - Governance & Process Design: Establish and maintain lightweight governance frameworks appropriate for a fast-paced, engineering-centric culture, including standardized project intake, status reporting, risk management, and decision escalation processes - Status Tracking & Reporting: Provide clear, consistent visibility into project health, milestones, dependencies, and risks through structured reporting to the Head of International Accounting, functional leads, and Finance leadership, and maintain the inventory of entities and the infrastructure expansion pipeline - Cross-Functional Coordination: Lead cross-functional coordination across Finance Operations, Accounting, Tax, Treasury, Payroll, Finance Systems, Legal and People Operations teams to drive alignment and remove blockers - Entity Set-up and Go-live Readiness: Track the finance set-up of each new entity (bank accounts, tax registrations, intercompany agreements, bank mandates, payroll, Workday and the accounting systems) and its go-live readiness, through the first payroll, first month-end close and first payroll tax or VAT filing, in support of the finance owner - Compliance Coordination: Partner with the Tax, Payroll and Accounting teams and local advisers to support the registrations, filings and compliance calendar of each new entity - Change Management: Drive user adoption for new entity processes and controls through structured change management, including training, communication plans, and post-go-live support - Vendor Management: Track and manage vendor delivery timelines, SOW commitments, and partner accountability across the banks and the payroll, tax and accounting providers in each country - AI Initiative Tracking: Coordinate AI automation initiatives within the international expansion portfolio, tracking progress on Claude-powered use cases and ensuring integration with broader Finance roadmap Minimum Qualifications - Have 10+ years of experience in program management, project management, or PMO roles, with at least 3 years working in finance or accounting - Have hands-on experience managing complex entity set-ups, international expansion programs or multi-country roll-outs - Can manage multiple concurrent workstreams across different finance domains without losing sight of the details or the big picture - Are skilled at building trusted relationships with diverse stakeholders across Finance, Accounting, Tax, Treasury, Legal and People Operations teams - Have experience designing and implementing governance frameworks that provide accountability without excessive overhead, particularly in fast-paced, agile environments - Possess strong analytical skills and can synthesize complex project data into clear, executive-ready reporting - Are proficient with modern project management tools (Asana, Jira, or similar) and entity management tools and can quickly establish portfolio-level visibility and dashboards - Have excellent communication and presentation skills, with the ability to convey complex project information to both technical and non-technical audiences - Demonstrate strong problem-solving abilities and can navigate ambiguity while maintaining focus on delivery and deadlines - Are passionate about building scalable processes that support rapid organizational growth Preferred Qualifications - Background in finance operations, accounting, or FP&A with understanding of month-end close, financial reporting, and compliance workflows - Experience with change management frameworks and methodologies - Experience working in high-growth technology companies - A professional accounting qualification (ACA, ACCA, CPA or equivalent) - A project management qualification - Interest in or experience with AI-powered automation and its application to finance processes 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: €170.000 - €220.000 EUR 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.
Incident Manager, Safeguards
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 Safeguards team plays a critical role in ensuring our AI systems are deployed safely, responsibly, and in line with our values. As an Incident Manager, you will manage Safeguards incidents involving our AI systems from declaration through closure. You will assess severity, bring in the right people from Legal, Communications, Policy, Threat Intelligence, Security, Engineering, and research teams, keep leadership informed, and see follow-up work through. You will also oversee the Safeguards Enforcement on-call queue on a rotating basis, and help build and scale the incident response program, including runbooks, post-incident reviews, and automation of routine work. Important context for this role: in this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, sexual, or psychologically disturbing nature. This role also includes after-hours and weekend incident coverage on a rotating basis. Key responsibilities - Serve as incident commander for Safeguards incidents from declaration through closure - Assess what qualifies as an incident, propose severity, and coordinate responders across Legal, Communications, Policy, Threat Intelligence, Security, Engineering, and research teams - Keep everyone working from the same facts by tracking input from each team, establishing what is known, what has changed, and what is still open, and sending regular updates that executives and partner teams rely on - Make sure Legal, Communications, and Public Policy are consulted before decisions that need them, and coordinate any external notifications - Run post-incident reviews, assign action items to named owners, and track them through closure - Oversee the on-call queue during your rotation as the first responder for urgent requests and escalations to Safeguards Enforcement - Triage each request, resolve what you can, route the rest to the owning team, and recognize when a request is the start of an incident - Take part in after-hours and weekend incident coverage on a rotating basis - Scope and deliver projects that improve the incident response program, such as on-call automation, incident readiness, and post-incident reviews and metrics - Draft and maintain runbooks and standard operating procedures - Work with Safeguards engineers to automate or reroute requests by writing the decision rules and testing the result - Maintain the incident record and the metrics that show leadership how the program is performing Minimum qualifications - Experience running incidents or urgent escalations from start to finish in trust and safety, security, platform integrity, crisis management, or a comparable field, and readiness to lead high-severity incidents with support - Hands-on experience with incidents where someone was abusing or misusing a product or platform, such as account compromise, fraud, or coordinated malicious activity - Ability to make clear decisions under time pressure, record your reasoning, and recognize when a decision belongs to Legal, Policy, or leadership - Ability to write short, accurate updates that an executive can act on and that hold up to legal and external scrutiny - Experience coordinating people across many functions who do not report to you, securing their commitments, and following through on them - Experience improving an operational process on your own initiative, and the ability to tell which steps need a person and which can be automated - Willingness to do hands-on queue work as a regular part of the job, and to treat it as a source of information about what is breaking - Ability to participate in after-hours and weekend incident coverage on a rotating basis Preferred qualifications - Experience joining an incident response function early and helping write runbooks and review processes - Experience with incidents involving AI systems - Experience with the enforcement steps that follow an incident, such as account actions, law enforcement referrals, or user and customer notifications - Experience working with threat intelligence or security investigation teams during an incident - Experience with regulatory or external incident reporting and disclosure - Experience running an on-call rotation or support escalation queue, including setting and measuring response targets - Experience using AI tools to automate triage, summaries, or routine decisions, with checks on quality - Working knowledge of SQL or similar tools for analyzing incident and queue data - Experience designing and facilitating tabletop exercises - Genuine interest in AI safety and responsible technology development 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.
Enterprise Account Executive, Retail
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 retail organisations across France. You'll drive the adoption of safe, frontier AI by securing strategic deals with retail, grocery, fashion, and e-commerce companies. You'll leverage your consultative sales expertise in the retail sector to propel revenue growth while becoming a trusted partner to retail stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in merchandising and supply chain, store operations, e-commerce and marketing, and customer service. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with retail 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 retail sector. Navigate complex retail organisations 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 retail procurement cycles, trading calendars and budgeting processes to meet and exceed revenue quotas. Analyse retail 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 merchandising and supply chain teams, store operations, e-commerce and marketing functions, and customer service. Collaborate cross-functionally to differentiate our offerings for retail applications - Navigate complex retail stakeholder ecosystems including executives, business and operations leadership, IT departments, and procurement offices to build consensus - Inform product roadmaps and features by gathering feedback from retail users and conveying retail market needs. Provide insights that strengthen our value proposition for retail - Continuously refine the retail sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency You may be a good fit if you have: - 10+ years of B2B sales experience in SaaS, API solutions, or emerging technologies - A track record of managing complex sales cycles within retail organisations and securing strategic deals by understanding both technical requirements and retail use cases - Demonstrated ability to navigate retail organisational structures and procurement processes, building consensus among diverse stakeholders including executives, business and operations leadership, and IT departments - Extensive experience negotiating complex agreements within retail procurement frameworks and policies - Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently to various retail audiences, from operational and digital teams to senior executives - Deep understanding of retail buying cycles, decision-making processes, and key pain points - A strategic, analytical approach to assessing the retail market combined with creative, tactical execution to capture opportunities - Fluent in French and English - A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for retail use À propos du poste En tant qu'Enterprise Account Executive chez Anthropic, vous rejoindrez l'équipe fondatrice chargée de faire découvrir notre API de productivité IA de pointe et nos solutions SaaS aux entreprises du secteur de la distribution et du commerce en France. Vous favoriserez l'adoption d'une IA de pointe et sûre en concluant des contrats stratégiques avec des entreprises de la distribution, de la grande distribution alimentaire, de la mode et de l'e-commerce. Vous mettrez à profit votre expertise de la vente consultative dans le secteur du retail pour accélérer la croissance du chiffre d'affaires. Vous nouerez aussi des relations de confiance avec les parties prenantes du secteur et les aiderez à intégrer et à déployer l'IA, tout en leur faisant découvrir l'étendue de ses capacités dans le merchandising et la supply chain, l'exploitation des magasins, l'e-commerce et le marketing, et le service client. En collaboration avec les équipes GTM, Produit et Marketing, vous affinerez en continu notre proposition de valeur, notre méthodologie de vente et notre positionnement, afin qu'ils trouvent un écho auprès des instances décisionnelles du secteur du retail. Le profil idéal a à cœur de développer de nouveaux segments de marché, de repérer les opportunités à fort potentiel et de mettre en œuvre les stratégies qui permettent de les saisir. En favorisant le déploiement des produits émergents d'Anthropic, vous aiderez les entreprises à acquérir de nouvelles capacités tout en contribuant au développement éthique de l'IA. Responsabilités : - Remporter de nouveaux contrats et générer du chiffre d'affaires pour Anthropic dans le secteur du retail. Vous orienter au sein d'organisations complexes pour atteindre les personnes décisionnaires clés, leur présenter nos services et les aider à réussir avec Anthropic. Vous piloterez l'intégralité du cycle de vente, de la première prise de contact à la signature. - Concevoir et mettre en œuvre des stratégies commerciales innovantes, adaptées aux cycles d'achat, aux calendriers commerciaux et aux processus budgétaires du retail, afin d'atteindre et de dépasser les objectifs de chiffre d'affaires. Analyser le paysage, les tendances et les dynamiques du marché du retail pour traduire les plans stratégiques en actions et campagnes commerciales ciblées. - Piloter l'expansion sur le marché en identifiant de nouveaux cas d'usage au sein des équipes merchandising et supply chain, de l'exploitation des magasins, des fonctions e-commerce et marketing, et du service client. Collaborer de manière transverse pour différencier nos offres destinées aux applications du retail. - Naviguer dans des écosystèmes complexes de parties prenantes (direction générale, directions métiers et opérations, DSI et services achats) afin de construire un consensus. - Contribuer à la feuille de route et aux fonctionnalités produit en recueillant les retours des équipes utilisatrices du secteur et en relayant les besoins du marché. Apporter des éclairages qui renforcent notre proposition de valeur pour le retail. - Affiner en continu la méthodologie de vente dédiée au retail en intégrant les enseignements dans des playbooks, des modèles et des bonnes pratiques. Identifier des améliorations de processus qui optimisent la productivité et la cohérence commerciales. Ce poste pourrait vous correspondre si vous avez : - Au moins 10 ans d'expérience en vente B2B (SaaS, solutions API ou technologies émergentes) - Une solide expérience de la gestion de cycles de vente complexes au sein d'entreprises du retail et de la conclusion de contrats stratégiques, fondée sur une compréhension fine des exigences techniques comme des cas d'usage du secteur - Une capacité avérée à naviguer dans les organisations et les processus d'achat du retail, en construisant un consensus entre des parties prenantes variées, dont la direction, les directions métiers et opérations et les DSI - Une vaste expérience de la négociation d'accords complexes dans le cadre des politiques et procédures d'achat du retail - Une expérience confirmée du dépassement des objectifs de chiffre d'affaires, grâce à une gestion efficace d'un pipeline et d'un processus de vente en constante évolution - D'excellentes compétences en communication et l'aisance nécessaire pour présenter devant des publics variés du retail, des équipes opérationnelles et digitales jusqu'aux membres de la direction - Une connaissance approfondie des cycles d'achat, des processus de décision et des principales problématiques du secteur du retail - Une approche stratégique et analytique du marché du retail, alliée à une exécution tactique et créative pour saisir les opportunités - Une maîtrise courante du français et de l'anglais - Un intérêt marqué pour les systèmes d'IA avancés et leurs applications, voire une expérience dans ce domaine. Le développement sûr et éthique des systèmes d'IA de pointe pour les usages du retail vous tient particulièrement à cœur. 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.
Director, Debt Capital Markets
About the Role As Director of Debt Capital Markets at Together, you will be a senior member of the Finance team, working with the CFO and executive leadership to lead the company's debt financing initiatives. You will play a critical role in supporting Together's infrastructure growth through sophisticated financing structures and strategic partnerships with lenders. The ideal candidate will have deep expertise in working with debt financing partners and will be responsible for leading and executing financing processes, managing lender relationships and driving other initiatives that enable Together's infrastructure scaling strategy. Responsibilities - Lead and execute Together's debt capital markets strategy to support the company's infrastructure growth - Build, manage and expand relationships with lenders, financing advisors and other institutional capital providers, serving as the primary relationship owner for debt capital providers - Drive financing processes end-to-end including lender/advisor outreach, preparation of company marketing and due diligence materials that effectively communicate Together’s story, commercial/legal negotiation and transaction structuring/execution - Negotiate credit agreements, term sheets, and other financing documentation to achieve optimal terms, working closely with legal counsel and senior leadership - Partner closely with Business Operations, Legal, GTM, Engineering and Product teams to drive execution of infrastructure growth in relation to financing structures - Be ready to roll up your sleeves and assist with other Strategic Finance initiatives and priorities to drive business impact and help the company grow - Build expertise to deeply understand the company’s product offerings, product portfolio and associated nuances Requirements - 10+ years of experience in one or more of the following: investing experience at a private equity firm; debt capital markets experience at a private equity firm or investment bank - Deep familiarity with structured finance and debt capital markets, with proven track record of executing complex financing transactions from a legal, operational and technical standpoint - Executive presence and maturity to build/manage relationships with external financing counterparties and communicate the company story to lenders, financing advisors and other institutional capital providers - Experience driving legal negotiation of financing documentation (e.g., credit agreements) in conjunction with legal counsel, with a commercial and problem solving oriented approach - Strong analytical, quantitative and financial modeling skills, with a deep understanding of financial concepts and key drivers impacting decision-making - Strong work ethic and self-directed with ability to manage multiple projects, prioritize and work under tight timelines with close attention to detail - Intellectual curiosity and desire to deeply understand Together’s products, customers, and business About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $265k - $310k + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy
Strategic Deals Lead, Compute & Infrastructure
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 Our Strategic Deals team originates, structures, negotiates, and closes the deals that secure the compute Anthropic uses to train and serve frontier AI systems. We work closely with engineering, infrastructure, finance, legal, product, and go-to-market teams to expand Anthropic's access to cloud capacity, silicon, networking, and the financing behind them. We are hiring several Strategic Deals Leads focused on compute and infrastructure. In this role, you will source opportunities, design partnerships, and negotiate high-value agreements with some of the world's largest technology companies, and you will connect deal terms to structured finance solutions. Your work will directly shape how quickly and reliably Anthropic can bring new compute online. Each hire will bring deep expertise in one or more of these areas while working across the broader infrastructure stack: - Cloud compute: building and running a pipeline of capacity across established and emerging cloud providers, and structuring the financing that connects capacity commitments to their economics. - Compute infrastructure: going deep into the silicon supply chain, structuring co-development and early-access deals with semiconductor and emerging hardware companies, and securing networking, backbone, and memory supply. - Compute partnerships: owning multi-year partnerships with the largest cloud providers, where compute commitments, financing structures, model availability on partner platforms, marketplace and co-sell arrangements, and pricing and revenue-share constructs are negotiated together. Key responsibilities - Own deals end to end in your focus area, from opportunity identification and term sheet development through diligence, negotiation, internal approval, close, and post-close execution - Lead negotiations for complex, high-value agreements with hyperscalers and other cloud providers, semiconductor and hardware suppliers, networking and memory vendors, data center operators, and emerging infrastructure companies - Bring capital markets and financing thinking to every transaction, including vendor financing, equipment leasing, capacity prepayments, project finance, and credit and residual value guarantees - Build financial models, term analyses, and commercial frameworks that compare supply options and give leadership a clear view of value, tradeoffs, and risk-adjusted outcomes - Partner with engineering and infrastructure teams to understand future workload requirements and translate them into long-term supply strategies and commercially viable deal terms - Build and own senior relationships with commercial, finance, product, and legal counterparts across the AI infrastructure ecosystem - Drive internal alignment with legal, finance, engineering, product, and go-to-market teams on deal terms, risk parameters, and the approval path for large commitments - Track market, technology, competitive, and financing developments across AI infrastructure, including supply constraints, and turn them into clear recommendations for senior leadership - Represent Anthropic externally with corporate executives, investment banks, and infrastructure investors involved in our transactions Minimum qualifications - A track record of originating, structuring, negotiating, and closing complex, high-value technology, infrastructure, or capacity transactions as the principal and lead negotiator (not in a supporting or advisory capacity) and the ability to operate independently from day one - Transactional experience in at least one focus area: cloud capacity or data center transactions, semiconductor and hardware supply (accelerators, CPU, memory, or networking, including backbone), or hyperscaler and cloud partnerships - Working knowledge of how large infrastructure commitments are financed, such as vendor financing, take-or-pay obligations, equipment leasing, or project finance, and the ability to shape financing terms alongside commercial terms - Financial modeling skills to build and pressure-test the economics of large infrastructure transactions - Experience developing term sheets and negotiating definitive agreements alongside legal counsel - Ability to work with technical teams and translate engineering requirements into deal structures, contract terms, and strategic business recommendations - Experience negotiating agreements that combine infrastructure or capacity terms with commercial, product, or go-to-market terms, and an understanding of how those components interact - Experience building partnerships and influencing senior stakeholders across internal and external organizations, including executive leadership Preferred qualifications - 8–10+ years of experience in strategic deals, corporate development, partnerships, investment banking, or business development at technology companies, hyperscalers, cloud providers, or financial institutions, with direct transactional ownership - Direct experience working with or inside a hyperscaler on AI or cloud partnerships, including familiarity with model gardens, marketplaces, co-sell programs, and partner economics - Experience managing multiple high-value transactions simultaneously at different stages of maturity and commercial development - Comfort operating in fast-moving, ambiguous environments where market structures, provider economics, and partnership norms are still evolving - A genuine interest in the future of AI infrastructure and in Anthropic's mission of building safe, beneficial AI We're hiring for several roles on this team. Apply once, and we'll match you to the focus area that best fits your background. 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 - $325,000 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.
Runtime Engineer - New Grad
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About the Team The Runtime team owns the lowest level of the SambaNova software stack, the layer that talks directly to the hardware. We build the user libraries, drivers, networking, and system tools that run ML training and inference across SambaStack and SambaCloud. About the Role As a new grad Runtime Engineer, you'll write production code in C/C++/Rust and Python across drivers, user space libraries, networking, and system tools. You'll help bring up drivers on next generation silicon, test and deploy runtime features on large multi-node systems, and track down performance bottlenecks with the hardware and compiler teams. Responsibilities - Develop and maintain kernel drivers for next generation SambaNova silicon - Build user space libraries that make efficient use of hardware resources - Find and fix networking bottlenecks within and across nodes - Build tools for profiling, debugging, and job and hardware management - Test and deploy runtime features on large multi-node systems - Work with the hardware and compiler teams to diagnose and fix performance issues Required Qualifications - B.S. in Computer Science, Computer Engineering, or related field - Strong programming skills in C/C++/Rust and Python - Experience with high speed networking such as RDMA, RoCE, or InfiniBand - Experience with distributed communication libraries such as MPI, NCCL, or UCX - Experience writing Linux kernel drivers or other system level software - Experience with Linux and debugging tools such as GDB Preferred Qualifications - M.S. or Ph.D. in Computer Science, Computer Engineering, or related field - Familiarity with PCIe - Experience with profiling or performance analysis tools - Internship or research experience in systems software, networking, or performance engineering - Open source project ownership or contributions Base Salary Range: Base Pay Range $131,200 - $196,200 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Member of Technical Staff (AI Policy and Strategic...
Perplexity is seeking an intrepid Member of Technical Staff to take on one of the AI industry's most unique engineering roles. You'll work directly with Perplexity's senior leadership to spearhead a broad portfolio of strategic technology initiatives across policy, law, operations, and corporate affairs. As a Member of Technical Staff in the Policy & Strategic Initiatives group, you'll occupy a front-row seat to the foremost policy issues animating the AI ecosystem. You'll also get a panoptic view of how leading AI companies operate, make decisions, and engage with broader society. Those seeking to marry technical expertise and broader interests in law, policy, and corporate affairs will find a home in this role. You'll make contributions to Perplexity that defy traditional boundaries, with a bench of mentors who will push you to learn and grow day after day. What you'll do: Your work will be both highly interdisciplinary and firmly grounded in engineering rigor. On any given day, you might: - Harness AI agents to research high-stakes policy and regulatory issues pertaining to Perplexity. - Build automated platforms for harvesting, prioritizing, and patenting Perplexity's inventions, in collaboration with our AI researchers and intellectual property attorneys. - Work hands-on with our Legal team and outside counsel in support of high-tech litigation matters in U.S. federal court. - Engineer privacy and compliance systems that efficiently scale with our growing portfolio of frontier AI products (such as Comet and Computer ). - Contribute to regulatory filings and responses that require impeccable command of AI technology, Perplexity's own systems, and the broader policy landscape. - Embed with our People team to implement first-party software solutions for recruiting, labor compliance, and performance management. - Participate in meetings with Capitol Hill, executive branch officials, international partners, and civil society as a subject-matter expert on both AI technology and policy. The above is a small sampling of activities; no two days will be the same, and your work will take you to all corners of our company. You'll interact each day with Perplexity's senior leaders, who will come to rely on you as a creative problem solver for simple and complex matters alike. Who we're looking for: No single profile defines our ideal candidate for this role. Here are some examples of people who might thrive here: - Exceptionally talented early-career engineers (new grads welcome) who are (1) well-read in law, tech policy, or economics, and (2) wish to grow in both technical and non-technical disciplines. - We welcome candidates who plan to attend law school or PhD programs in the future; we ask for a minimum 2-year commitment (i.e., you would apply for the entering class of 2028 or later). - Experienced engineers at top tech companies who wish to develop policy, business, and operations chops. - Lawyers or economists (new JD or PhD grads welcome) who've kept their engineering skills sharp and are excited to reimagine their fields in the age of AI. - This is a non-exhaustive list; other profiles may also be great fits. No matter which profile describes you, we'll also be looking for: - Evidence of exceptional ability and 99th-percentile work ethic. - Strong technical skills at or above Perplexity's hiring bar for software engineers. - Fluency with frontier intelligence tools (such as Perplexity Computer ). - High intrinsically-enforced standards for the craft and quality of your work. - Strong communication and writing skills, ideally demonstrated via samples of past written work product. - Curiosity and excitement about new and unfamiliar fields; eagerness to redefine your job every 3-6 months. - Ability to quickly dive deep in any given field and develop mastery rivaling that of domain experts. - Unimpeachable judgment, integrity, and discretion to be entrusted with the company's most important matters. - A service-oriented attitude that continually questions how company systems and processes might better serve stakeholders.
Autonomous Systems Security Engineer
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 Claude is trained and served on hardware in data centers Anthropic operates and in sites partners build and run for us. DCSE secures that footprint: the sites, the hardware moving through them, and the people and vendors who touch it. You'll be the engineer who owns autonomous systems across that footprint as one security domain, from both sides: drones, ground robots and automated vehicles for patrol, inspection and moving hardware, including the security of that automation inside secure areas, and the detection systems that tell us what is flying over or operating near a site uninvited. You set the approach, select and integrate the platforms and sensors, write the requirements vendors build to, and run what you ship, from the operating model where operators assign missions and machines carry them out to the playbook that turns a detection into an identified track and a well-evidenced handoff to whoever holds authority over the airspace. Interdiction is not part of this role. The goal is security that runs itself: coverage, fleet health and evidence verified continuously, with tools and AI agents doing the routine triage. We favor simple, standard controls and tools that can be verified over elaborate ones. We use Claude throughout our engineering workflow and expect you to as well. You'll work with the rest of DCSE, including its physical security systems engineers and the engineers on its security monitoring platform, with Anthropic's data center operations and legal teams, and directly with site operators, equipment vendors and aviation and public safety authorities. The role is based in San Francisco, with remote applicants in the US considered, and involves regular travel to data center sites, which are critical infrastructure. Key responsibilities - Autonomous security and inspection systems: own the drones, ground robots and other autonomous platforms for perimeter patrol, incident response and infrastructure inspection: platform selection, operating model, operator qualification, maintenance, and the data path from machine to analyst - Tools, automation and AI agents: build the integrations that carry detections, tracks, telemetry and fleet health into the team's security monitoring platform, and the tools and agents that triage detections, check fleet health and assemble evidence. When a review keeps costing people time, you build the tool or agent that retires it - Detection of uncrewed systems: engineer the sensing that tells us what is flying over or operating near a site, what it is and who needs to know: sensor selection and evaluation against live targets, per-site coverage, classification and false-alarm handling, and the playbook from first detection to handoff, with evidence retained - Security of site automation: engineer the controls on automated vehicles, robots and similar machines that move hardware or work inside secure areas: identity and access, network isolation, what they may record and where it goes, fail-secure behavior, their place in chain of custody, and acceptance before they enter a site - Regulatory and site constraints: establish what we may sense, fly, drive, record and retain at each site, partner-operated sites included, under the aviation, spectrum, privacy and safety rules that apply there, with the waivers and approvals that extend it and coordination with local authorities set up before it is needed - Health monitoring: define and test heartbeats, loss-of-coverage and lost-link alarms and fail-secure behavior, so a silent sensor or machine shows as a fault, not a quiet day - Vendor requirements and acceptance: write the requirements, evaluate against live flights and runs, and hold vendors to what they ship Minimum qualifications - Have engineered autonomous or sensing systems in the field (drones, ground robots, automated vehicles, or RF, radar or optical detection sensors): selected, integrated or secured them for an operation other people relied on, and verified what they actually do against real targets or runs rather than a datasheet - Have integrated systems you did not build (vendor APIs, SDKs, appliances, machine and sensor telemetry) into a platform that outlives any one of them - Read and review code, design the data systems behind security tooling, and build automation (often with AI coding agents) using Git and code review - Have done this work hands-on for data centers, critical infrastructure or a large hardware fleet - Have designed inside a regulatory or safety constraint (aviation, spectrum, privacy, machine safety or similar) and can show the decision it drove - Own a domain end to end: set the approach, carry it through with vendors, site operators, partners and authorities, and run it as something people depend on every day Preferred qualifications - Remote pilot certification (for example FAA Part 107) and experience flying beyond visual line of sight under a waiver or exemption - Experience with counter-drone (counter-UAS) detection, airspace surveillance or air traffic data systems - Experience running a robot, drone or automated-vehicle fleet in an industrial, logistics or data center setting: fleet management, mission planning, safety cases - Experience securing embedded, operational technology or robotic systems: device identity, network segmentation, update control, logging - Experience with physical security operations at large sites, with law enforcement or aviation authorities, or at sites you did not fully control: cloud, colocation or GPU cloud operators - Have built AI agents or automation that replaced recurring manual work 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 - $405,000 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.
Member of Technical Staff (Software Engineer, Trai...
Perplexity is seeking software engineers to join our Training Infrastructure team. We’re responsible for the large-scale RL and agent evaluation platforms that enable Perplexity to train state-of-the-art models and optimize agent harnesses. We are full-stack engineers with a broad remit. If you join us, you’ll build the distributed systems that orchestrate AI workloads across global-scale compute infrastructure. You’ll also define novel user and agent interfaces for designing, managing, and launching experiments. You’ll create tools that make experiment results legible to humans and agents alike, enabling everything from ad-hoc experiment retrospectives to closed-loop autoresearch. And much more! A strong candidate will possess both experience and passion for solving difficult problems at the intersection of AI, distributed systems, and research acceleration. Qualifications - 2+ years of experience developing and shipping distributed systems for compute-intensive workloads, with a focus on reliability, scalability, and performance. - Proficiency in a general-purpose backend language such as Python, Rust, C++, or Go, and experience with cloud infrastructure and container orchestration, such as AWS and Kubernetes. - Familiarity with reinforcement learning (RL), agent evaluation, or ML infrastructure, and an interest in building systems that accelerate experimentation and model development. - BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience. Why Perplexity is different - Craftsmanship . We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership . You identify the problem, design the solution and ship it. - Entrepreneurship . We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship . Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership . We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
Solutions Marketing Manager, Emerging Industries
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 looking for a Solutions Marketing Manager to bring Claude to market across emerging industries and newer customer segments and personas, where enterprise AI demand is moving fastest. You’ll drive the strategic positioning and go-to-market approach for Claude for organizations ranging from small businesses to ecommerce to retailers, manufacturers, and energy companies, and more. You’ll develop messaging and positioning for nuanced sub-sectors that we have yet to build for and that need their own story, and also develop narratives for the professionals who do the work inside them. Working at the intersection of sales, product, and marketing, you'll develop segment-specific solutions that showcase Claude's transformative potential for industry-specific applications across our product portfolio. You bring deep customer empathy, technical acumen, and the ability to translate complex AI capabilities into clear, value-driven solutions that resonate with decision-makers across organizations. This role is built for a versatile product marketer who can go deep and pivot quickly from one industry to the next for a major launch, program, or industry moment. If you’re energized by range, learn new markets fast, and want to shape how entire industries adopt AI, this role is for you. Key responsibilities - Develop and execute solutions marketing strategy across a number of different priority industries and customer segments - Craft differentiated positioning and messaging for industries and their sub-sectors across solutions pages, campaign materials, and content - Lead go-to-market for industry product and solution launches, including sector-specific product offerings and relevant MCP integrations and skills - Partner with field marketing and sales leaders to build industry points of view, use cases, and programs around major launches and flagship industry events - Build persona-based solutions that speak to specific types of users across industries, such as finance, legal, customer support, and operations teams - Adapt industry and persona narratives for different customer segments, including Enterprise, Commercial, SMB, and Startups - Partner with the alliances team on joint go-to-market with industry partners, including shared positioning, launch coordination, and integrated campaign moments - Work with communications, social, and content teams on executive thought leadership, customer stories, and speaking opportunities relevant to each industry - Enable sales teams with compelling materials, outbound campaigns, and pipeline-driving initiatives for priority industry accounts - Report on which channels and campaigns are driving results and identify opportunities for iteration Minimum qualifications - Direct experience marketing software products across multiple industries or customer segments in tandem, and know how to find what’s distinct in each and what can scale across them - Familiar with developing solutions that span both technical and business buyers, working closely with enterprise architecture teams or transformation offices - Track record of building solutions that significantly expand deal sizes and accelerate sales cycles - Quick learner who can absorb context on new industries, buyer dynamics, and regulatory considerations rapidly, and speak credibly with the customers and partners in them - Strategic and tactical operator, comfortable setting an industry strategy with senior leaders and rolling up your sleeves to ship - Strong written and verbal communication skills, with an ability to translate complex AI capabilities into clear, compelling narratives for technical and business audiences - Thrive in a 0-to-1 environment, can shift priorities quickly, and can build processes where none exist - Excel at cross-functional collaboration and are comfortable being the connective tissue between product, sales, partnerships, communications, and marketing teams - Passionate about AI’s potential to transform how industries work while maintaining focus on responsible, safe deployment Preferred qualifications - 8+ years of B2B product marketing or solutions marketing experience working inside of software companies - Demonstrated success in creating vertical-specific solutions for operationally intensive or regulated industries - Possess certifications or deep knowledge in cloud platforms, enterprise architecture - experience with usage-based or consumption pricing models strongly preferred - Experience marketing AI/ML products or emerging technology to enterprise buyers - Track record of building marketing programs from scratch at a growth-stage company Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation. Deadline to apply: None. Applications will be reviewed 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: $320,000 - $320,000 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.
Enterprise Account Executive - Manufacturing Indus...
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 are seeking an Enterprise Account Executive, Industries – Manufacturing to lead Anthropic’s go-to-market in Taiwan from our Singapore hub. You will bring Claude to Taiwan’s leading high-tech manufacturers in semiconductors, electronics, and the AI hardware supply chain, helping them apply AI across engineering, operations, supply chain, and corporate functions. You will own the full sales cycle with C-suite and senior technical stakeholders, working with Product, Engineering, Applied AI, and Partnerships to shape solutions that fit the market. As one of Anthropic’s first commercial presences covering Taiwan, you will also help define our regional strategy and build the foundation for long-term growth, in a way that reflects Anthropic’s mission to ensure the world safely makes the transition through transformative AI. Key responsibilities - Meet and exceed revenue targets by winning new enterprise accounts and expanding existing ones, while landing flagship references across Taiwan’s semiconductor, electronics, and broader manufacturing sectors - Build and execute a territory plan that reflects Taiwan’s manufacturing landscape, including its buying behavior, regulatory environment, and data residency expectations - Lead consultative sales with C-suite and senior technical leaders, positioning AI as a driver of business transformation - Translate Claude’s technical capabilities into clear business value for manufacturing use cases - Run technical discovery with engineering leaders and speak credibly about security, IP protection, and deployment options with customers whose designs and process data are their most sensitive assets - Partner with Product, Engineering, Applied AI, and Partnerships to design tailored solutions and support complex deals - Build co-sell motions with hyperscaler and system integrator partners, including joint customer engagements and marketplace procurement, to extend reach across the territory - Identify new use cases and feed customer and market insights back into the product roadmap - Represent Anthropic with customers, partners, and industry stakeholders in Taiwan, including conversations about the safe and responsible use of AI Minimum qualifications - 10+ years in enterprise sales, business development, or account management, including selling to semiconductor, electronics, or other manufacturing customers in Taiwan - Deep understanding of Taiwan’s high-tech manufacturing ecosystem, including how leading companies organize engineering, manufacturing, and supply chain functions, and where AI creates measurable value - Track record of closing complex, multi-stakeholder enterprise deals - Existing commercial network among Taiwan-based enterprises - Fluency in Mandarin and English, with strong written and verbal communication and presentation skills - Strong commercial judgment and the ability to work independently in a fast-moving, early-stage market - Based in or willing to relocate to Singapore, with eligibility to work there and willingness to travel frequently to Taiwan - Bachelor’s degree in a related field or equivalent experience Preferred qualifications - Experience selling AI/ML, cloud, data platforms, or enterprise SaaS into manufacturing, semiconductor, electronics, or industrial sectors - Experience co-selling with hyperscaler, channel, or SI partners - Familiarity with regional data residency, AI governance, IP protection, and enterprise procurement requirements - Interest in or experience with advanced AI systems and their safe development - Understanding of Taiwan’s competitive and sovereign AI market, including hyperscaler presence, government-backed local models, and manufacturers building their own models 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.
Data Center Facility Operations Lead - Commissioni...
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 the Facility Operations Lead for Commissioning & Delivery within the Data Center Infrastructure organization, you will lead the commissioning, turn-up, and delivery of new capacity across Anthropic’s growing fleet of data center infrastructure. You will be accountable for bringing critical mechanical, electrical, plumbing, and control systems from construction through L1–L5 commissioning and handover to operations. As a subject matter expert in data center commissioning and operations, you will develop scalable processes for bringing new capacity online, help manage data center partners & vendors, lead delivery schedules, and maintain close coordination with related disciplines such as design, engineering, construction, and capacity planning. If you are experienced in commissioning and delivering mission critical facilities, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. Responsibilities: - Define the commissioning and delivery strategy for new capacity, including commissioning plans, acceptance criteria, schedule milestones, and reporting methods. - Oversee third-party L1–L5 commissioning, turn-up, and handover to operations of facility infrastructure such as switch gear, technology cooling systems, and computer room air handlers. - Define expectations and standards to enable third-party commissioning agents, contractors, and operators to succeed in each of the critical facility domains. - Create standards for functional and integrated systems testing, minimizing risk, and effectively tracking and resolving deficiencies, excursions, and incidents during turn-up. - Develop innovative approaches to accelerate time to capacity and improve equipment availability while minimizing cost and complexity. - Enable scale-out of capacity delivery through industry best practices and optimization of bill of materials, logistics, and physical processes. - Manage partner relationships and maintain alignment with Anthropic goals. You may be a good fit if you: - Have 10+ years of experience in data center commissioning, construction delivery, or facility operations as a manager, engineer, technical lead or related role. - Can demonstrate a proven track record commissioning and delivering mission critical capacity on schedule. - Are a subject matter expert in L1–L5 commissioning, including commissioning plans, functional and integrated systems testing, and handover to operations. - Are experienced in third-party partner relationship management, including commissioning agents, general contractors, and equipment vendors. - Bachelor's degree in relevant domain or equivalent practical experience. It's a bonus if you have: - 15+ years of experience commissioning or delivering large scale data centers. - 5+ Critical Facilities Operations and Maintenance Leadership experience - An understanding of AI/ML workloads, including power, cooling, and network connectivity - Experience supporting technology cooling solutions such as rear door heat exchangers and/or cooling distribution units - Experience managing third-party datacenters such as colo operators and/or contract staffing vendors. - Experience turning up liquid-cooled HPC capacity, including developing commissioning plans, creating acceptance criteria, and conducting hand-over reviews 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 - $405,000 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.
Communications Manager, Claude Platform
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 looking for a Communications Lead to own external communications for the Claude Platform, our API. The Claude Platform is how many of our customers put Claude to work, and this role shapes how that work is understood beyond Anthropic: from flagship product launches to the steady cadence of capability releases and developer-facing news. You'll sit on the Product Communications team and work day to day with the Platform product and engineering teams, Product Marketing, and Developer Relations. You should understand how developers and enterprises actually build with APIs and be comfortable engaging with developer tools and hold a clear point of view on what makes a product land. Key responsibilities - Own communications for the Claude Platform end to end: capability releases, product updates, and the steady cadence of developer-facing news - Build and maintain strong relationships with the journalists, newsletter writers, and creators covering AI platforms, enterprise software, and the API economy - Prepare Platform leaders to be effective spokespeople for press, podcasts, panels, and the smaller moments in between - Partner with Product and Engineering to align external narratives with how these products are sold and supported, and surface customer feedback back to the teams who can act on it - Work across press, social, owned, and community channels, with the judgment to know which one carries a given moment and when to coordinate more than one at once Minimum qualifications - Experience in communications, PR, or product marketing, including meaningful time on platform, API, developer, or enterprise products - An understanding of both developer culture and enterprise buying, and the judgment to read timing and tone when the conversation around AI gets noisy - Strong instincts for which product moments deserve the spotlight and which don't, and genuine curiosity about what makes a launch land - A demonstrated ability to operate with high agency and low ego, with a bias to action Preferred qualifications - 8-10 years of experience in communications, PR, or product marketing - Communications experience at a developer platform, API-first, or enterprise software company - Existing relationships with reporters and analysts covering AI platforms, enterprise tech, or the developer ecosystem - Experience managing communications for AI or ML products - Are very online: you follow the right channels, know what's moving through Hacker News and developer social chatter, and catch things early 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.
Business Recruiter
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 EMEA, and we need recruiters who can help us hire exceptional people into the teams that keep the company running and bring our work to customers. We’re looking for a Recruiter to join our Talent team in London to own full-cycle recruiting for either our G&A functions (Finance, Legal, People, and related areas) and our Go-To-Market organization (Sales, Marketing, Partnerships, and Customer-facing roles), depending on business need and your background. This is a full-cycle individual-contributor role for a strong recruiter who can run an excellent process end to end—sourcing, screening, managing stakeholders, and closing. You’ll partner with hiring managers across EMEA to understand what great looks like, build healthy pipelines, and deliver a candidate experience that reflects Anthropic’s values. You’ll work in a fast-moving environment where priorities shift, and you’ll have real ownership over the roles you run. We’re open to candidates whose strength is in G&A recruiting or in GTM recruiting; in your application, tell us where your experience is deepest. Key Responsibilities - Own full-cycle recruiting for a portfolio of G&A or GTM roles across EMEA—from intake through offer and close - Partner with hiring managers to scope roles, calibrate the bar, and build effective sourcing strategies - Source and engage high-quality active and passive candidates, building diverse and competitive pipelines - Run structured, rigorous, and candidate-centric interview processes that uphold Anthropic’s hiring bar - Manage candidates through the process with clear communication and a great experience at every stage - Collaborate with the broader Talent team, People Partners, and Compensation to structure offers and guide candidates to close - Use data to track pipeline health and share insight that helps hiring managers make good decisions Minimum Qualifications - 4+ years of full-cycle recruiting experience in either G&A (Finance, Legal, People) or GTM (Sales, Marketing, Partnerships) hiring - Track record of closing strong candidates in competitive markets - Familiarity with the EMEA talent landscape and comfort recruiting across multiple countries - Strong stakeholder management—you build trust and partnership with hiring managers - Excellent organization and the ability to manage multiple searches at once without dropping details - Clear, direct communication style and a bias toward action - Comfort operating with ambiguity in a fast-moving environment - Genuine interest in Anthropic’s mission and the role recruiting plays in achieving it Preferred Qualifications - Experience recruiting at a high-growth technology, AI, or machine learning company - Experience recruiting across both G&A and GTM functions - Experience hiring across multiple EMEA markets, including the UK and Ireland - Familiarity with Greenhouse or similar ATS platforms - Additional European language skills relevant to hiring across the region 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: £105,000 - £105,000 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.
IT Support Engineer
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. About the Role We are hiring an IT Support Engineer to own the employee technology experience end to end — from day-one device readiness through the full asset lifecycle. This is a hands-on, high-ownership role for someone who is equally comfortable resolving a Tier 3 macOS escalation, standing up device management infrastructure from scratch, and turning repetitive support work into documented, self-service processes. You will be the technical escalation point for our Windows and macOS fleet, administer our identity and endpoint management platforms, and partner with security to keep the fleet patched and compliant. You will also mentor junior support staff and set the standard for white-glove service across the company. Key Responsibilities Endpoint & Device Management - Be the front line supporting MDM platforms across the fleet in collaboration with our Technical Engineer — Supporting Windows & macOS — including enrollment, configuration profiles, group policies, and software distribution. - Serve as the Tier 1/2 escalation point for macOS and Windows device management issues, including configuration drift, update failures, and security policy conflicts. - Work with Technical Engineers to standardized OS images and deployment workflows on a quarterly cadence. - Monitor endpoint performance and digital employee experience to identify emerging issues before they scale, and drive proactive remediation across the fleet. - Execute workstation imaging, setup, and deployment for new hires and internal transfers, scaling to 100+ builds per month during peak hiring. Identity & Access Management - Tier 1 /2 — provisioning, deprovisioning, group management, and application access requests. - Tier 1 /2 supporting authentication methods including FIDO2 security keys, passkeys, and biometric authentication. - Troubleshoot via remote sessions with Slack Huddle, Zoom, or Google Meet. Security & Compliance - Partner with the IT Engineering team on patch management, vulnerability remediation, and endpoint compliance using tools such as BigFix, SentinelOne, or Automox. - Exposure in supporting security-driven remediation tickets within SLA and maintaining fleet compliance against internal and regulatory standards. Service Delivery & Support - Own a high-volume ticket queue in ServiceNow or Jira, consistently meeting or beating SLA targets while maintaining high customer satisfaction. - Provide in-person and remote support to a globally distributed workforce across North America and EMEA time zones. - Troubleshoot Microsoft 365 and Google Workspace issues including sync failures, authentication errors, mail flow, and collaboration tooling (Teams, Zoom, SharePoint). - Support conferencing and telephony systems for internal and executive-level meetings. Asset Lifecycle & Vendor Management - Provide asset management support to help track and manage our computer hardware and software. - Asset shipping and recovery for our new joiners and leavers. Enablement - Lead new-hire IT onboarding sessions covering workstation setup, security protocols, and support procedures. - Author and maintain runbooks and self-service documentation in Confluence or SharePoint to reduce repeat ticket volume. Required Qualifications - 5+ years of progressive experience in IT support, end user services, or systems administration. - Strong hands-on expertise troubleshooting both Windows and macOS in an enterprise environment. - Production experience administering at least one major MDM platform (JAMF Pro, Microsoft Intune, Addigy, or equivalent), including building configuration profiles and policies from scratch. - Working knowledge of identity platforms — Okta, Active Directory, or Entra ID — including SSO and MFA administration. - Experience with endpoint security and patch management tooling (BigFix, SentinelOne, Automox, Zscaler, or similar). - Proficiency with an ITSM platform (ServiceNow, Jira Service Management) and a track record of meeting SLA commitments at volume. - Strong administration skills in Microsoft 365 and/or Google Workspace. - Demonstrated ability to operate with minimal process and high ambiguity, and to build structure where none exists. - Excellent written and verbal communication, with a white-glove approach to customer service across all levels of the organization. Preferred Qualifications - JAMF Certified Tech (JAMF 200) or higher; Microsoft, Okta, or CompTIA certifications. - Linux fundamentals and experience administering virtual machines (VMware vSphere, Hyper-V). - Experience supporting file share, print, or application servers on Windows Server. - Scripting for automation (PowerShell, Bash, or Python). - Reporting and dashboarding experience with Power BI or equivalent. - Experience supporting users across multiple international regions. Success in the First 6 Months - Fully ramped on the fleet and operating independently as the Tier 3 escalation point for Windows and macOS. - Measurable reduction in average time-to-resolution and repeat ticket volume through documentation and automation. - Onboarding and imaging workflows standardized, documented, and consistently delivering day-one readiness. - Endpoint compliance sustained at or above target across the fleet. Physical & Work Requirements - Ability to lift and move IT equipment up to 40 lbs. - Onsite presence required for imaging, deployments, hardware repair, and in-person support. - Occasional after-hours or weekend work for maintenance windows, migrations, and escalations. 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.
Senior Recruiter, G&A
About the Role Together AI is building the AI Acceleration Cloud. We are building an end-to-end platform for the generative AI lifecycle, integrating fast, reliable inference and model-shaping services with cutting-edge AI cloud infrastructure. We're looking for an exceptional Senior G&A Recruiter who can help us scale our teams while keeping the bar of excellence high. You'll own end-to-end hiring across our Finance, Legal, and Business Strategy functions, from first conversation through offer close, and partner with G&A leadership to translate ambitious hiring plans into real teams. This role is based out of our Headquarters in San Francisco. Key Responsibilities - Own full-cycle strategic recruiting across our G&A organizations. - Partner with our executives and leaders to define hiring strategies, candidate profiles, and interview processes. - Manage the candidate journey from sourcing handoff to offer stage, ensuring a seamless and exceptional experience. - Provide market intelligence, funnel metrics, and competitive insights to shape hiring strategies and influence decisions. - Collaborate with sourcers, coordinators, and recruiters to streamline processes and deliver a consistent, brand-aligned candidate experience. - Act as a strategic thought partner to leaders, scaling from concept to execution with data-driven insights, creativity, and sound judgment. What We’re Looking For - 5+ years of G&A recruiting experience in high-growth tech environments. - Strong ability to build and maintain relationships with leadership and hiring teams. - You thrive in a fast-paced, ambiguous environment with rapidly shifting priorities. - Expertise in designing new interview processes and hiring strategies from the ground up. - You adapt gracefully under pressure and navigate changing priorities with ease. - Ability to do more with less, you thrive in a scrappy environment and you find creative solutions to problems About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits. The US base salary range for this full-time position is: $165,000 - $210,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our Privacy Policy at https://www.together.ai/privacy
Technical Writer Intern, Developer Experience (Sum...
About the Developer Experience team The Developer Experience (DevX) team owns how developers learn and build on Together AI. We run the documentation site, API reference, quickstarts, cookbooks, and the tooling that keeps all of it accurate as the platform ships new models and features every week. We treat docs as a product and as code. Content lives in Git, publishes through Mintlify, and stays in sync with the API through CI/CD automation built on GitHub Actions. We also write for two audiences at once: the human developer reading a guide, and the AI coding agent pulling our docs into its context window. That means a house style guide built for AI-assisted authoring, structured content agents can parse, and automated review passes that check drafts against our quality bar. Role Overview As a Technical Writer Intern on DevX, you will write, test, and ship documentation that thousands of developers use to build with open-weight models. You'll be paired with a DevX mentor and own significant projects end to end, from scoping through launch, with real users and real metrics at the finish line. This is a hands-on, technical role. You'll run the code you document, call our APIs, and open pull requests against the docs repo from your first week. Potential projects include: - Build a closed-to-open migration kit - Make a docs section agent-ready, and prove it - Generate the CLI reference from source - Write an evaluation design tutorial series Responsibilities - Write clear, accurate guides, tutorials, and reference content for Together AI's inference, fine-tuning, and GPU cluster products. - Work with engineers, product managers, and researchers to understand new features well enough to explain them simply. - Use AI tools in your daily workflow, and help us improve how we use them for drafting, editorial review, and publishing. - Test every feature you document by running the code yourself, and file bugs when the product or the docs don't behave as expected. - Draft, review, and publish in a docs-as-code workflow: Git, pull requests, code review, and Mintlify. - Contribute to release notes and changelog entries as features launch. - Use page analytics, search data, and developer feedback to decide what to improve next. Qualifications - Currently enrolled in a bachelor's or master's program in Computer Science, Technical Communication, or a related field, graduating December 2027 or later. - Exceptional written communication: you can make a complex technical idea clear and approachable. - Working knowledge of at least one programming language (Python or TypeScript preferred) and comfort with Git source control. - Curiosity about how developers learn, and how AI is changing the way they do it. Nice to have - Experience calling an LLM API or building a small project with AI tools. - Familiarity with Markdown/MDX, static site generators, or docs platforms like Mintlify or Docusaurus. - Experience with CI tools such as GitHub Actions. Writing sample Your application should include one or two writing samples, representing what you think is your own best work. The subject doesn’t have to be technical, or even nonfiction—though both are a plus! For example: - A technical blog post. - A README, tutorial, or contribution to open-source docs. - A research paper. - A personal essay. - A school newspaper submission. About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Internship Program Details: Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort's internship dates span either May 17th to August 6th or June 14th to September 3rd. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $41 a hour. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy
Engineering Manager (Agent Engine)
Perplexity is seeking an Engineering Manager to lead and grow our highly driven Agent Engine team. The Agent Engine team designs and builds powerful agentic experiences including Perplexity Computer , the Comet ecosystem, our Agent API, and more. In short, we build frontier intelligence systems for the world's most discerning users. As the engineering manager supporting the Agent Engine team, you'll bring AI expertise, sharp product intuition, and strong leadership and collaboration skills to advance the frontier of what agents can accomplish for our millions of devoted users. You'll lead, grow, and support a team in solving many open problems in AI, including: - Designing frontier agent harnesses and systems to perform high-stakes, mission-critical work for our users; - Leveraging action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives; - Providing consistently excellent experiences across local execution, headless cloud, custom executors, and other environments through sound system design and flexible abstractions; - Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities; - Designing optimal data representations and modes of interaction between agents and their environments; - and much, much more. Responsibilities - Provide technical leadership across multiple layers of a rapidly growing product in the AI agents space. - Develop and leverage cutting-edge AI systems and related technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase. - Exercise sharp technical & product intuition to guide the team’s system architectures and product roadmaps. - Drive product reliability, code quality, AI evaluation, testing, and maintenance for the broader team. - Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates. - Interface with the Perplexity co-founders to deliver strategic objectives that redefine what’s possible in the AI industry. Qualifications - Strong foundational familiarity with the AI systems stack. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Domain knowledge in at least one of the following areas: - Harness engineering - Agent Skills and plugin architectures - Model training and reinforcement learning - Browser technologies (CDP, Playwright, extension development, etc.) - Strong technical intuition and taste for user experience excellence. - Strong organizational skills for managing and delivering parallel technical projects; ability to guide highly-opinionated teams in making sound tradeoffs and prioritization decisions is critical. - Experience managing engineering teams, including recruiting, growing, and retaining high-caliber talent. - 8+ years of engineering experience, with at least 3 of those years as an engineering manager.
IP Counsel, Life Sciences Patents
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 has the power to dramatically accelerate the pace of scientific discovery and the development of healthcare interventions. Alongside the models and tools we build for scientists, Anthropic’s life science research teams now run their own wet lab experiments. We’re hiring a life sciences patent counsel to work side-by-side with our researchers as they work to advance biomedical progress. You will manage patent strategy and filings for our life sciences research, from the first conversation with a scientist through global prosecution. You will also be our in-house expert on the patent questions, many of them new, that arise when scientists use AI as a research tool. You will partner closely with our patents lead (direct manager), the Head of IP, Research Legal, our Life Sciences Counsel, and outside counsel to design and implement a patent program that supports our researchers and partners and is aligned with the company’s mission. Responsibilities - Manage patent strategy and filings for Anthropic’s life sciences research in the U.S. and internationally, including invention harvesting, filing decisions, drafting oversight, prosecution, and management of outside counsel - Serve as the trusted patent advisor to our life science research teams, and design and implement scalable guidance and processes to support our fast-growing life science efforts - Make inventorship determinations for AI-assisted research, and advise on inventor declarations and the duty of candor - Develop claim and filing strategies across biological and chemical inventions, platform technologies, and computational methods, accounting for written description, enablement, eligibility, and obviousness - Partner with Research Legal and Communications on the timing of publications, preprints, presentations, and open-source releases - Advise on the patent aspects of agreements with life science and biopharma counterparties, including ownership of inventions and improvements, and support patent diligence and freedom-to-operate analyses for our research - Anticipate emerging legal developments affecting AI technologies in the life science and biopharma space and provide strategic guidance to leadership Minimum qualifications - Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based - A degree or equivalent training in a life sciences or chemistry field (for example, molecular biology, biochemistry, genetics, bioengineering, or organic chemistry) - Substantial hands-on experience drafting and prosecuting U.S. life sciences patent applications, and directing foreign prosecution through local counsel - Lead responsibility for a patent portfolio, including managing budget and outside or foreign counsel - Experience making inventorship determinations and resolving ownership questions in multi-party research arrangements (for example, with universities and other partners) - Excellent communication skills, with the ability to translate legal risk into practical guidance for scientists, researchers, and business partners - A low-ego, high-empathy orientation and a “doer” attitude: willing to roll up your sleeves and pitch in where needed - Intense curiosity about AI and science, and a commitment to responsible AI development Preferred qualifications - 10+ years of patent experience (including time as a patent agent, technical specialist, or examiner) at a law firm, a biotech or pharmaceutical company, or both, with the ability to operate independently and hit the ground running - Advanced degree in a life sciences or chemistry field - Experience with AI/ML companies, or with inventions at the boundary of biology and machine learning - Working knowledge of how patents interact with regulatory exclusivity, trade secrets, and open science - Familiarity with biosecurity, dual-use research, or export control considerations in the life sciences - Experience leveraging AI to optimize their work, with a desire to work in a fast-paced, innovative environment 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: $335,000 - $385,000 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.
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