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Staff Data Scientist, Ads

Negotiable

Why Mozilla? Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people. The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms. About this team and role: The Monetization Data Science team partners closely with Product, Engineering, Sales, Finance, and senior leadership to understand and grow Mozilla’s advertising business while protecting the user privacy experience that makes Firefox unique. Mozilla’s Ads business is growing quickly, with new products, markets, and sales offerings creating significant opportunities for Data Science to shape how the business evolves. We’re looking for a Staff Data Scientist who can serve as a trusted data partner to the Ads organization—identifying the questions that matter, building the measurement and analytical approaches needed to answer them, and helping teams make sound decisions in a fast-moving and ambiguous environment. This is a highly visible role that requires strong technical and business judgment, excellent communication, and the ability to move comfortably between deep analytical work and executive-level decision-making. What you’ll do: - Serve as a lead Data Science partner for Mozilla’s Ads business, working across Product, Engineering, Sales, Finance, and senior leadership to identify and prioritize high-impact opportunities - Own complex analytical problems end-to-end, from framing the business question and determining the right approach to validating results, communicating recommendations, and driving follow-through - Develop measurement frameworks for new and evolving advertising products, including success metrics, experimentation, instrumentation, and reporting - Analyze advertising revenue and performance to identify key drivers, evaluate opportunities and trade-offs, and inform product and business decisions - Translate complex findings, assumptions, and uncertainty into clear recommendations for audiences ranging from technical partners to senior executives What you’ll bring: - 8+ years of experience in data science, analytics, or applied quantitative roles, with demonstrated ownership of complex, business-critical analytical work - Experience with digital advertising or a related monetization business, with an understanding of how product, user, advertiser, and revenue outcomes interact - Strong technical foundation in Python and SQL, with experience applying statistical, experimental, forecasting, and analytical methods to real-world business problems - Demonstrated ability to independently frame ambiguous problems, identify what matters, and drive work from an open-ended question through a clear recommendation - Excellent analytical judgment—balancing rigor with pragmatism, pressure-testing important results, setting realistic expectations, and communicating uncertainty appropriately - Proven ability to build trusted relationships and communicate complex or challenging findings to audiences ranging from technical partners to senior executives - Commitment to our values: - Welcoming differences - Being relationship-minded - Practicing responsible participation - Having grit What you’ll get: - Generous performance-based bonus plans to all eligible employees - we share in our success as one team - Rich medical, dental, and vision coverage - Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute) - Quarterly all-company wellness days where everyone takes a pause together - Country specific holidays plus a day off for your birthday - One-time home office stipend - Annual professional development budget - Quarterly well-being stipend - Considerable paid parental leave - Employee referral bonus program - Other benefits (life/AD&D, disability, EAP, etc. - varies by country) About Mozilla Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online. Commitment to diversity, equity, inclusion, and belonging Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientation s, gender identities, and expressions. We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation. We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose. Group: D LI-REMOTE Req ID: R2884 Hiring Ranges: US Tier 1 Locations $163,000 - $218,000 USD US Tier 2 Locations $150,000 - $200,000 USD US Tier 3 Locations $139,000 - $185,000 USD

👤 HumanFull-timeRemote

By MozillaAug 5, 2025

Field CTO, DACH

To learn the Hiring Ranges for this position, please select your location from the Apply Now dropdown menu. To learn more about our Hiring Range System, please click this link. Why Mozilla? Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people. The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms. About this team and role: The Monetization Data Science team partners closely with Product, Engineering, Sales, Finance, and senior leadership to understand and grow Mozilla’s advertising business while protecting the user privacy experience that makes Firefox unique. Mozilla’s Ads business is growing quickly, with new products, markets, and sales offerings creating significant opportunities for Data Science to shape how the business evolves. We’re looking for a Staff Data Scientist who can serve as a trusted data partner to the Ads organization—identifying the questions that matter, building the measurement and analytical approaches needed to answer them, and helping teams make sound decisions in a fast-moving and ambiguous environment. This is a highly visible role that requires strong technical and business judgment, excellent communication, and the ability to move comfortably between deep analytical work and executive-level decision-making. What you’ll do: - Serve as a lead Data Science partner for Mozilla’s Ads business, working across Product, Engineering, Sales, Finance, and senior leadership to identify and prioritize high-impact opportunities - Own complex analytical problems end-to-end, from framing the business question and determining the right approach to validating results, communicating recommendations, and driving follow-through - Develop measurement frameworks for new and evolving advertising products, including success metrics, experimentation, instrumentation, and reporting - Analyze advertising revenue and performance to identify key drivers, evaluate opportunities and trade-offs, and inform product and business decisions - Translate complex findings, assumptions, and uncertainty into clear recommendations for audiences ranging from technical partners to senior executives What you’ll bring: - 8+ years of experience in data science, analytics, or applied quantitative roles, with demonstrated ownership of complex, business-critical analytical work - Experience with digital advertising or a related monetization business, with an understanding of how product, user, advertiser, and revenue outcomes interact - Strong technical foundation in Python and SQL, with experience applying statistical, experimental, forecasting, and analytical methods to real-world business problems - Demonstrated ability to independently frame ambiguous problems, identify what matters, and drive work from an open-ended question through a clear recommendation - Excellent analytical judgment—balancing rigor with pragmatism, pressure-testing important results, setting realistic expectations, and communicating uncertainty appropriately - Proven ability to build trusted relationships and communicate complex or challenging findings to audiences ranging from technical partners to senior executives - Commitment to our values: - Welcoming differences - Being relationship-minded - Practicing responsible participation - Having grit What you’ll get: - Generous performance-based bonus plans to all eligible employees - we share in our success as one team - Rich medical, dental, and vision coverage - Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute) - Quarterly all-company wellness days where everyone takes a pause together - Country specific holidays plus a day off for your birthday - One-time home office stipend - Annual professional development budget - Quarterly well-being stipend - Considerable paid parental leave - Employee referral bonus program - Other benefits (life/AD&D, disability, EAP, etc. - varies by country) About Mozilla Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online. Commitment to diversity, equity, inclusion, and belonging Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientation s, gender identities, and expressions. We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation. We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose. Group: D LI-DNI Req ID: R2884

👤 HumanFull-timeRemote

By MozillaAug 4, 2025

Senior Software Engineer, Machine Learning (Safety...

Negotiable

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. We are seeking an experienced Senior Machine Learning Engineer to join our Safety ML team. This role focuses on building and deploying machine learning models that help keep Discord users safe, including real-time and batch systems for content understanding, risk evaluation, and account integrity. You will work closely with partners across product, engineering, design, policy, legal, and Trust and Safety to design and deliver effective ML solutions. This role reports to the Senior Manager of Machine Learning, Safety. What You'll Be Doing - Analyze data to identify risk patterns and inform the design of machine learning models - Build, iterate on, and evaluate models that detect risk and anomalous behavior - Work with product, engineering, legal, and Trust and Safety partners to deliver effective ML solutions - Work with partner teams in Trust & Safety to curate golden label sets at scale and improve data labeling techniques for model training - Deploy models into production systems, writing backend code as needed to ensure scalability and reliability, and monitor performance - Document modeling approaches and systems, and apply current machine learning best practices What you should have - 4+ years of experience in ML engineering or applied ML roles. - Strong coding skills in Python and fluency in ML frameworks such as PyTorch, JAX, or TensorFlow. - Experience building performant machine learning systems at scale and have driven the execution of projects from ideation to production. - Ability to think from first principles, approaching complex problems with creativity, clear reasoning, and pragmatic solutions. - A growth mindset: seeking feedback, reflecting on decisions, and continuously improving. - Excellent communication and collaboration skills, with a history of partnering effectively across engineering, data science, legal, policy, and product teams. - Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field (Physics, Math, Operations Research, etc. The US base salary range for this full-time position is $220,000 to $247,500 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits. Why Discord? Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.

👤 HumanFull-time

By DiscordSep 11, 2026

Solutions Architect, AI/Cloudflare Developer Platf...

Negotiable

Negotiable

About the Team OpenAI’s Legal team helps advance our mission by tackling novel legal issues in AI. Our team brings together professionals across technology, privacy, intellectual property, corporate, employment, tax, regulatory, and litigation. Our regulatory compliance work turns legal requirements into practical programs that support responsible AI development and deployment. About the Role As a Legal Program Manager focused on regulatory compliance, you will build and manage cross-functional programs that translate counsel’s guidance into practical, sustainable operations. Your initial focus may include content moderation and/or frontier AI governance, with the mix shaped by team priorities and your strengths. You will partner with internal and external counsel, other legal program managers, and technical and business teams to coordinate implementation, evidence collection, reporting, and ongoing compliance. You’ll build repeatable systems that scale across regulations, products, and jurisdictions, helping teams navigate emerging requirements with clarity and sound judgment. This full-time role is based in San Francisco, CA, or New York, NY. In this role, you will: - Lead regulatory compliance programs end to end: define scope, owners, milestones, dependencies, risks, and escalation paths, and drive execution with counsel and cross-functional partners. - Translate counsel’s regulatory guidance into repeatable workflows, controls, and documentation. Depending on your portfolio, this may include content moderation disclosures, transparency reporting, reporting and appeals workflows, or frontier AI model launch readiness, evaluation and risk-management evidence, and incident reporting. - Build strong partnerships across Product, Engineering, User Operations, Governance, Risk and Compliance (GRC), Global Affairs, Communications, and Go-to-Market to align program priorities and deliverables. - Support regulatory inquiries, audits and investigations with counsel, organizing evidence and responses to support timely, accurate communication and reporting. - Maintain a reliable source of truth for obligations, controls, decisions, evidence, and reporting. Demonstrate compliance readiness and control effectiveness, and improve program timeliness and evidence quality. - Identify execution risks and compliance gaps, track remediation, and escalate blockers. Establish clear success measures and operating cadences, keeping legal conclusions subject to counsel’s review. You might thrive in this role if you: - Have 6+ years of experience in program management, regulatory compliance, or related fields in a tech-forward or highly regulated environment, including relevant legal, regulatory, or compliance program experience. - Have experience working with an in-house legal team; regulatory matters experience and in-house technology experience are strongly preferred. - Have demonstrated experience building and scaling compliance programs, translating legal or regulatory requirements into operational workflows, and maintaining reliable documentation and evidence in partnership with counsel. - Take ownership of complex projects, set and achieve milestones, synthesize cross-functional input, and build trust across legal, technical, and business teams. - Bring strong organizational, analytical, and communication skills. Exercise sound judgment under pressure, adapt to changing priorities, and make progress through ambiguity. - Are resourceful and hands-on, with enthusiasm for AI technology and the ability to quickly learn unfamiliar technical concepts and navigate fast-moving technical environments. - Bring familiarity with content moderation, online safety, frontier AI governance, data governance, privacy, or emerging technology law as a plus. Depth in either content moderation or frontier AI governance is valuable; expertise in both is not required. - Bring data analysis or SQL skills, or relevant professional qualifications such as PMP, PMI-ACP, CPA, or CISSP, as a plus. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. 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 https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. 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 https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf 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.

👤 HumanFull-time

By OpenAISep 12, 2026

Lead, Ads Prospecting & Customer Intelligence

Negotiable

About the Team OpenAI is building the next generation of advertising for an AI-powered world. As AI changes how people discover information, explore possibilities, and make decisions, we believe this presents a huge opportunity for small and medium-sized businesses to connect with customers in new ways. The SMB Ads Marketing team is building this opportunity from the ground up. We define how businesses discover OpenAI’s advertising platform, become successful advertisers, and grow their investment over time. Working closely with Product, Ads Engineering, Data Science, and Sales, we combine customer insight, rigorous experimentation, and fast execution to turn early opportunities into scalable growth. About the Role We are hiring a Lead, Ads Prospecting & Growth Intelligence to build the intelligence and orchestration platform powering OpenAI’s ads business. This person will help us identify the right companies and people, understand why they are relevant, determine the right next action, and learn from what happens afterward. Own the prospecting function for the ads business, serving SMB Ads while building a foundation reusable across segments. Set the vision, operating model, roadmap, platform choices, business rules, adoption, and outcomes; and partner with Ads Engineering, Data Science, and internal platform teams. Decide what to build in-house, enable through internal platforms, or deliver through selected vendors and partners. In This Role, You Will - Lead the function’s strategy, roadmap, operating model, and adoption. Connect platform investments to measurable advertiser and business outcomes. - Define a unified prospect, account, contact, and advertiser data model. Establish standards for identity, data quality, provenance, freshness, confidence, and consent. - Combine market, intent, behavioral, product, CRM, campaign, and customer-success signals to improve targeting and customer engagement. - Design enrichment and verification workflows. Evaluate in-house capabilities, platforms, vendors, APIs, AI, and human review to select effective solutions. - Develop scoring and next-best-action models using customer fit, intent, activity, reachability, lifecycle stage, and growth potential. - Connect intelligence to action across sales, marketing, product, paid media, partners, and lifecycle journeys through coordinated routing and activation. - Enable marketers to create audiences, configure triggered journeys, run experiments, and execute campaigns through intuitive systems with quality checks and approvals. - Build feedback loops that use outreach, engagement, conversion, spend, retention, churn, and customer-success outcomes to improve targeting and lifecycle decisions. - Measure data quality, coverage, targeting accuracy, deliverability, conversion, and incremental value. Establish permissions, suppression, auditability, and provider-performance standards. You Might Thrive in This Role If You - Bring substantial experience building go-to-market systems, customer-data products, growth platforms, lifecycle infrastructure, revenue systems, or marketing technology. - Demonstrate ownership of platforms that connect data, decisions, and workflows to measurable commercial outcomes. - Apply strong product judgment to prioritize opportunities, define useful solutions, and sequence delivery. - Translate identity resolution, enrichment, scoring, segmentation, routing, experimentation, and feedback loops into clear system requirements. - Design practical solutions with marketers and sales teams, grounded in their campaign and customer workflows. - Explore data and test ideas with tools such as analytics platforms, SQL, APIs, automation, or AI-assisted prototyping. Production engineering experience is not required. - Evaluate build, buy, and integration choices across CRM, marketing automation, customer data platforms, and campaign-execution systems. - Lead a small team and build alignment with senior cross-functional partners. - Apply sound judgment to privacy, consent, deliverability, data rights, governance, and customer trust. - Bring relevant experience in advertising, SMB or self-serve businesses, product-led SaaS, marketplaces, commerce, fintech, enterprise go-to-market, or other multi-segment customer journeys. Preferred Qualifications - Experience building prospecting or customer intelligence platforms for advertising, SMB, or self-serve businesses. - Track record combining customer and intent data to improve targeting and conversion. - Experience deploying enrichment, scoring, and next-best-action models across marketing and sales. - Experience integrating data vendors, CRM, marketing automation, and customer data platforms. - Hands-on experience using SQL, APIs, automation, or AI to validate growth solutions. - Experience building feedback loops and governance practices that improve performance, data quality, and trust. Workplace & Location - San Francisco, CA. This role requires a hybrid schedule with an in office requirement from Monday - Wednesday. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. 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 https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. 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 https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf 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.

👤 HumanFull-time

By OpenAISep 11, 2026

Regional Demand Generation Marketer

Negotiable

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. ABOUT THE ROLE We're hiring our first Demand Generation Lead for EMEA, Middle East and Emerging Markets. You'll own how LangSmith shows up in the region and how that turns into pipeline from partnering with performance marketing, lifecycle marketing, integrated campaigns and webinars to build a localized campaigns. You'll be deciding what works in the region, run the experiments to prove it, and then scale what works into a repeatable regional playbook. You’ll be a builder with central support from our US demand gen, product marketing, and marketing ops teams. Location: London or Amsterdam (one of our EMEA office hubs). WHAT YOU'LL OWN REGIONAL DEMAND STRATEGY AND PIPELINE - Build the EMEA demand plan: which markets, which segments, which channels, and what each is expected to return - Own an EMEA pipeline target and report against it sourced and influenced, by channel and by market - Decide how the regional demand budget gets allocated for localized programs. FULL-FUNNEL PROGRAM EXECUTION You'll own the whole mix for the region and be hands-on in all of it: - Paid digital: partner with performance marketing to support localized 3rd party promotion, paid search, paid social, and retargeting strategy, including account-level and contact-level targeting to give sellers air cover in named accounts - Webinars: run a regional cadence across live demos, thought leadership webinars, technical workshops, and customer stories, in local time zones with local speakers where it helps - Integrated campaigns: adapt global LangSmith narratives and build region-first campaigns when the market needs something different - Lifecycle: build segmented nurtures and post-event follow-up for regional leads, with attention to language and time zone. CROSS-FUNCTIONAL PARTNERSHIP - Work directly with EMEA AEs and SDRs to understand what converts in-region and co-design follow-up plays that drive pipeline. - Partner closely with Field Marketing to build joint regional plans, align priorities, and create a coordinated interface into the sales team. - Support new-hire ramp by identifying warm signals, share campaign hand-off details, marketing programs, and proven outreach plays reps can use in their first 90 days. - Collaborate with RevOps on targeting, routing, campaign tracking, and reporting to improve regional execution and pipeline visibility. WHAT WE'RE LOOKING FOR - 7+ years in B2B demand generation, growth marketing, or integrated campaigns, ideally in developer tools, infrastructure, or technical SaaS - Track record of building demand programs in EMEA across multiple countries, with a clear view of where localization matters and where it doesn't - You've personally run paid, webinars, lifecycle, and ABM - You write the copy, build the landing page, pull the report, and launch the campaign - Comfortable with a technical product and a technical audience. You don't need to write code, but you should be able to hold a conversation about agents, evals, and observability without a script - Strong partner to Sales. You've worked shoulder to shoulder with AEs and SDRs and you're comfortable with a pipeline number - Fluent in the numbers: funnel conversion, CPL, cost per SQO, pipeline contribution, and attribution's real limits - Working command of a modern stack, Hubspot, Influ2, Qualified, Goldcast, Zoom Webinar, Zapier, SFDC, Reo.dev http://Reo.dev, and Clay - Comfortable with ambiguity and true ownership - Salary Range: 95,000 GPB - 125,000 GBP + Equity Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. 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.

👤 HumanFull-time

By LangChainSep 11, 2026

Staff Software Engineer, Search

Negotiable

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 building Anthropic's search platform team to create scalable, efficient search capabilities that power Claude's ability to access and retrieve information. In this role, you'll design and implement core search systems from the ground up. Responsibilities: - Work with a small, senior team of engineers and researchers to build Anthropic’s search platform from scratch - Establish metrics and tooling to measure and improve search quality - Enhance search algorithms and indexing mechanisms to boost search accuracy and efficiency You may be a good fit if you: - 5+ years building complex distributed systems in production - Solid grasp of search fundamentals: indexing, retrieval, ranking - Strong coding skills in Python, Go, Java, or similar languages - Hands-on experience with high-volume data processing architectures 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: $1 - $2 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.

👤 HumanFull-time

By AnthropicSep 11, 2026

Senior Recruiting Coordinator [fixed-term contract...

Negotiable

Negotiable

ABOUT THE TEAM OpenAI develops models that can reason through complex problems and hardware designed for the demands of advanced AI. AI for Chips connects these efforts: applying increasingly capable AI systems to the work of semiconductor engineering. Our goal is to help engineers develop better chips and shorten design cycles. This work brings research, model training, and hardware expertise together to build tools that engineers can use on real designs, with correctness and measurable performance at the center. ABOUT THE ROLE We’re hiring a Research Engineer to help OpenAI models solve chip-design problems through reinforcement learning, tool use, and evaluation. You’ll own experiments from the initial idea through implementation and analysis. That means building environments and evaluations, running training, investigating failures, and using the results to decide what to try next. You’ll also build the software needed to make those experiments reliable and reproducible. We value strong coding fundamentals, careful experimental judgment, and the ability to make progress independently. Prior chip-design experience is helpful, but you can learn the domain alongside the team’s hardware specialists. IN THIS ROLE, YOU WILL: - Build RL environments and evaluations for tasks such as RTL generation, design verification, and physical design optimization. - Develop and test approaches that help models use chip-design tools and improve power, performance, and area while preserving correctness. - Design experiments, establish baselines, and measure whether improvements hold up on new tasks and designs. - Investigate failures across model behavior, rewards, evaluation tools, and experiment infrastructure. - Improve iteration speed through better tooling, faster evaluations, and proxy rewards that reflect the outcomes we care about. - Turn successful experiments into reusable research code and training workflows, working closely with researchers and engineers. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have strong programming and debugging skills and a track record of turning technical ideas into working software. - Experience with reinforcement learning, model evaluations, post-training, or other applied ML research. - Experience building tool-using agents, reward functions, or automated evaluation systems. - Can form clear hypotheses, design useful experiments, and distinguish meaningful results from noise or evaluation errors. - Work independently on ambiguous problems and make practical decisions about what to build or test next. - Stay close to the implementation and can explain what you built, what failed, and what you learned. - Communicate progress clearly and collaborate well with people across research, software, and hardware. - Care about developing safe, beneficial AI. NICE TO HAVE: - Familiarity with experiment orchestration, distributed training, or research infrastructure. - Experience with RTL, Verilog/SystemVerilog, EDA tools, formal verification, or chip-design automation. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. 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 https://cdn.openai.com/policies/eeo-policy-statement.pdf. 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 https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. 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 https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf 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.

👤 HumanFull-time

By OpenAISep 11, 2026

Senior AI Engineer – Notebooks

Negotiable

Datadog Notebooks provide customers with a collaborative surface for ad-hoc data analysis, technical documentation, incident postmortems and runbooks. The power and flexibility of Notebooks also makes it the perfect place to integrate AI tools that can augment user workflows. Our vision is that in Notebooks users can collaborate with each other and with AI agents seamlessly. We are looking for a product-oriented Senior Software Engineer to help build the AI-assisted workflows that are becoming central to how customers use Notebooks. In this role you will work closely with product and design, and own platforms for analysis workflows and context discovery. There is a real opportunity for impact here: turning Notebooks into the tool that helps customers go from uncertainty to answer, and making that knowledge retrievable and reusable across Datadog products. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do - Lead the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces - Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes - Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations - Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments - Provide technical leadership and mentorship while helping establish AI engineering best practices - Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services Who You Are - You have experience with Go, Python or similar systems programming languages - You have 6+ years of relevant engineering experience - You have hands-on experience delivering production AI-powered products and customer-facing experiences using LLM technologies. - You approach engineering through a strong product mindset and can connect technical decisions to customer outcomes and business impact. - You have experience building reliable systems that manage model non-determinism through evaluation frameworks, testing strategies, and operational excellence Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Continuous professional development, product training, and career pathing - Intra-departmental mentor and buddy program for in-house networking - An inclusive company culture, ability to join our Community Guilds - Access to Inclusion Talks, our Internal panel discussions - Free, global Spring Health benefits for employees and dependents age 6+ - Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. LI-Remote About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog 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 other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .

👤 HumanFull-timeRemote

By DatadogSep 9, 2026

Data Scientist, Marketing Analytics

Negotiable

Know where you belong! Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, HER, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. The Team or Role: Match Group’s Analytics Team is looking for a Data Scientist II with expertise in Marketing Analytics. Our analytics team serves the entire MG portfolio, acting as a center of excellence to standardize how we measure marketing performance across all our global brands, including industry leading names like Tinder and Hinge. We develop a deep understanding of the business and its data and establish close working relationships with all teams including Product, Marketing, Engineering, and Finance, so that we can provide recommendations and make proposals regarding prioritization of initiatives, marketing investments, A/B tests, and company performance. As a data scientist in this role, you will partner with Marketing teams at each of our BUs, providing support through advanced marketing measurement techniques, A/B test design and analysis, and data-driven insights through ad-hoc analyses, presentations, and automated reports and dashboards. This role will require extensive experience with SQL, data wrangling, statistics, econometric modeling, and A/B testing, as well as the ability to work in cross-functional teams to drive actionable insights. Experience with user growth and acquisition across multi-brand consumer products is a plus. Where you’ll work: This is a hybrid role and requires in-office collaboration three days per week. This position is located in NYC or Los Angeles. In this role, you will: Master and be responsible for analyzing marketing and business performance. Build models better to understand the impact of our marketing investments and strategy Find the “story” in the data and communicate insights and opportunities with executives and other internal teams. Perform ongoing ad-hoc analyses to evaluate the efficiency of our marketing spend, build reporting infrastructure, and assist in making budgeting recommendations to optimize growth. Integrate captured event data with other customer data sources, such as surveys, ad publishers, and app store data. Support reporting and business intelligence needs of the entire Marketing team. You’ll need: 3+ years of relevant experience in analytics or data science Experience building bayesian regressions and/or other marketing measurement techniques Experience designing, executing, and measuring geo experiments and causal inference techniques Ability to think objectively and interpret meaningful themes from quantitative and qualitative data Ability to build constructive and effective relationships with a broad and diverse group of business partners Ability to execute complex analytics projects where you have to determine salient questions in a complex ecosystem and present action-oriented conclusions Proficiency with SQL required Scripting skills, preferably in Python. Knowledge of statistics, specifically experimental design and analysis Proficiency in Microsoft Excel and Microsoft PowerPoint (or equivalents) Familiarity with common marketing KPIs, metrics, and growth experiments Differentiators: Curiosity about how things work, from both a business and technical perspective, leading to the identification and exploration of new strategic opportunities, potential improvements to our data infrastructure, and deepening our understanding of member behavior. Proactive collaborator skilled in engaging with cross-functional teams (Marketing, Product, Engineering, Machine Learning) to influence decision-making, confidently voicing concerns and alternative perspectives Ability to prioritize time across multiple projects and communicate timelines

👤 HumanFull-time

By Match GroupSep 10, 2026

Principal Engineer, Applied AI (Fullstack/Backend)

Negotiable

Principal Engineer, Applied AI (Fullstack/Backend) at Hims & Hers. Femtech Insider network role. Industry tags: Community and Lifestyle, Consumer Goods, Cosmetics, Fitness, Health Care, Health Diagnostics, Healthcare, HealthTech, Lifestyle, Medical Diagnostics, Mental Health, Mobile App. Skills: Software Engineering, Production Systems, Scalability, Debugging, Reliability, Mentorship, Collaboration, Operational Excellence, Technology Strategies. Locations: United States, Remote. Work mode: remote.

👤 HumanFull-timeRemote

By Hims & HersSep 10, 2026

Director of Product Management, Financial Simulati...

Negotiable

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. ABOUT THE TEAM The SandboxAQ AI Generation Engine (SAIGE) team’s mission is to accelerate SandboxAQ’s mission of “Deep Impact at Scale” with a focus on quantitative AI and rapid innovation. More specifically, the SAIGE team aims to: - Build next-generation AI capabilities that establish SandboxAQ as the global pacesetter in quantitative AI. - Identify, incubate, prototype, and launch new AI products for high-potential and longer-term use cases, proving (or disproving) their viability as high-impact, highly profitable business lines. The SAIGE team operates on the following principles: Prototype with Velocity, Explore Boldly, Fail Smart, Learn Fast, Look Forward, and Share Knowledge. Our current top priority use case is leveraging AI and LQMs to solve some of the most impactful problems in the Finance and Insurance industries. THE OPPORTUNITY As the Director of Product Management for the AI Generation Engine (SAIGE), you will be the PM lead for the team and a key partner to engineering, research, and user research. You will: - Own the product strategy and execution for our efforts in Finance & Risk Modeling, partnering closely with financial services and insurance customers to understand their workflows, risk models, and decision-making processes. - Lead rapid prototyping and innovation across a broad range of new ideas and domains, driving 0→1 product discovery, experimentation, and incubation of high-potential use cases. - Operate in a highly ambiguous, fast-changing environment, providing clarity on priorities, making pragmatic trade-offs, and ensuring we ship impactful prototypes and products. This role is ideal for a seasoned product leader who is energized by uncertainty, enjoys working across disciplines (UXR, engineering, research, business), and is excited to build new AI and quantitative products from the ground up. KEY RESPONSIBILITIES LEAD PRODUCT STRATEGY IN FINANCE & RISK MODELING - Own the product vision, roadmap, and execution for our Finance/Risk portfolio, with a focus on financial services and insurance (e.g., portfolio risk, capital modeling, risk analytics, underwriting, and related workflows). - Develop a deep understanding of customer contexts, including current tools, models, and data flows (e.g., portfolio / risk modeling systems, vendor platforms, internal analytics stacks). - Partner with quantitative researchers, ML engineers, and domain experts to translate customer problems into clear product requirements and model/data needs. - Define success metrics and validation strategies to compare our approaches against existing PML/ERM and portfolio views, and to demonstrate differentiated value. DRIVE RAPID PROTOTYPING AND 0→1 INNOVATION - Identify, evaluate, and prioritize new AI / LQM use cases across multiple domains (beyond Finance/Risk), from early signals to clearer opportunities. - Lead 0→1 product discovery: problem framing, hypothesis development, lightweight customer validation, and rapid iteration on prototypes. - Work with engineering and research to scope experiments that are small enough to move quickly but meaningful enough to answer key questions. - Establish and champion a rigorous but pragmatic approach to ruthless prioritization, ensuring the team focuses on the highest-impact opportunities. BUILD STRONG CUSTOMER AND STAKEHOLDER RELATIONSHIPS - Serve as a trusted product partner to senior stakeholders at key customers (e.g., heads of risk, portfolio managers, actuaries, CROs), speaking credibly about risk models, scenarios, and portfolio decisions. - Lead customer conversations from initial discovery through pilot definition and ongoing adoption, connecting customer needs to the SAIGE roadmap. - Communicate progress, learnings, and recommendations clearly to internal and external stakeholders, including executives. ESSENTIAL SKILLS & EXPERIENCE You are a senior product leader who is comfortable at the intersection of AI, quantitative modeling, and financial risk. You thrive in ambiguity, enjoy working closely with deeply technical teams, and can just as easily go deep on models and data as you can on customer needs and business outcomes. You are proactive, low-ego, and collaborative, and you don’t need rigid structure to have impact. - 10+ years of product management experience, with substantial time spent on complex B2B or platform products. - Deep Experience in financial services and/or insurance, especially in one or more of: - Risk modeling (e.g., portfolio risk, capital modeling, asset-liability management, market/credit risk, or insurance risk) - Financial simulation or scenario analysis - Portfolio analytics or decision support tools - Demonstrated ability to work closely with quantitative, engineering, and cross functional teams: - Comfortable discussing models, data pipelines, and trade-offs with engineers and researchers. - Experience working tightly with UXR, design, engineering, and research. - Clear written and verbal communication across technical and non-technical audiences. - Able to translate between technical details and customer/business value. - Proven track record of 0→1 Product Management work: - Identifying new opportunities and shaping them from idea to prototype and early product. - Strong ruthless prioritization skills: can define clear frameworks, make hard trade-offs, and say “no” to good ideas to focus on the best ones. - Demonstrated ability to drive execution without heavy process or structure, and Working through high ambiguity, incomplete information, and changing constraints. - Exceptional customer-facing skills: - Confident leading discovery and roadmap conversations with senior stakeholders. - Skilled at uncovering real needs behind stated requirements and pressure-testing problem statements. - Self-directed, proactive, and comfortable creating structure where needed rather than waiting for it. - Experience in environments with shifting priorities and evolving strategies. - Alignment with SandboxAQ values and the SAIGE principles around rapid prototyping, learning, and communication and shared ownership. HIGHLY DESIRED SKILLS & EXPERIENCE - Direct experience building products involving AI / ML, foundational models, quantitative models, or LLM/agentic systems. - Hands-on exposure to risk tools and vendor platforms (e.g., risk engines, portfolio analytics systems, or modeling platforms used in insurance and financial services). - Experience in both: - A high-growth startup or new product incubation context - A large, complex environment (e.g., Big Tech, major financial institution), giving you a strong sense of how to navigate stakeholders and scale impact. - Educational background in a quantitative or technical field (e.g., computer science, mathematics, physics, statistics, engineering, finance, or similar). If you’re excited by the idea of shaping the future of quantitative AI, building products with real impact in finance and insurance (and possibly other domains), and leading 0→1 innovation in a highly cross-functional team, we’d love to hear from you. WHY JOIN US? We offer a comprehensive and competitive benefits package designed to support your health, financial well-being, and life outside of work. - Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation. - Benefits: Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits. - Work-Life Balance: Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance. - Career Development: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs. SANDBOXAQ WELCOMES ALL We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges. Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know. Read: Guidance for candidates on using AI Tools in interviews https://www.sandboxaq.com/ai-in-interviews

👤 HumanFull-time

By SandboxAQSep 10, 2026

Technical Recruiter, APAC

Negotiable

ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ROLE SUMMARY As an experienced Talent Acquisition Specialist on the APAC recruiting team, you will be instrumental in building and scaling teams at Mistral across the region - Singapore, Korea, India, Australia and Japan. You will get a wide breadth of exposure across roles, geographies, levels. Joining Mistral in APAC today means you’ll sit at the intersection of recruiting strategy and best practice execution at scale. TAs at Mistral get a seat at the table, deep influence in decision making, and are sparring partners to hiring managers. Your work will directly influence our success by ensuring we find and engage exceptional people who will drive Mistral’s growth. You will also foster a strong candidate experience to create a flywheel for our employer brand int he region. You will also help establish recruiting best practice by creating, documenting and scaling knowledge and playbooks. WHAT YOU WILL DO - Drive our hiring effort for Applied AI and Solutions, across the region, with some flexibility and open mindedness to contribute to GTM and Corporate roles, on a need basis - Partner with our tech & business hiring managers to find world-changing talent for Mistral - Own end-to-end recruitment, including sourcing, interviewing, and closing candidates - Identify unique candidates who bring an entrepreneurial spirit, strong commitment and passion for success - Guide candidates through our hiring process and introducing them to the magic of working at Mistral - Develop and refine recruiting processes, tools, and documentation to improve outcomes and efficiency - Use data to diagnose process issues and propose solutions - Deliver a high-quality candidate experience in a competitive talent market - Collaborate with others to continuously raise the bar for our hiring standards - Contribute directly to defining and evolving our talent acquisition approach in APAC ABOUT YOU - 7+ years of total recruiting experience, ideally across a mix of agencies, high growth startups, and enterprise/corporate environments - Demonstrated ability to hire at high throughput at scale, and in complex environments, never compromising quality - Self-starter who is result-oriented, resourceful, innovative, intellectually curious, and who takes initiative and risks - T-shaped with deep expertise in Technical roles: FDE, SWE, MLE, Research Eng, Applied Science - Natural geek with tooling and automation, thinks in systems and scale, embraces the latest technologies, and has ideally built a thing or two - Experience in complex recruiting and autonomous hiring in outbound contexts - Experience working to recruit in highly competitive talent markets - Strong written and verbal communication - No ego and highly committed to deliver - Able and keen to jump from strategic topics to very hands-on work - Open learning mindset and fast learner, demonstrated capacity to quickly grasp new complex topics - Capability, credibility, and consultative skills to influence senior colleagues and stakeholders without authority - Organized, disciplined, and strong at project management - Comfortable working within the ambiguity of a small, growing startup with a strong desire to turn that ambiguity into a well-defined machine - Target driven, detail oriented, and approachable with the ability to prioritize and work well in an environment with competing demands - Fluent in English and experience recruiting internationally - Ideally, proficiency with Ashby, LinkedIn Recruiter, and AI tools (Vibe, Claude) 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 https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

👤 HumanFull-time

By Mistral AISep 10, 2026

Field Marketing Manager - ASEAN

Negotiable

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. ASEAN is one of Mistral’s most important and fastest-growing markets in APAC. We’re looking for a Field Marketing Manager to build and lead our marketing presence across ASEAN, Hong Kong, and Taiwan. This is a highly entrepreneurial role and a new position within the team. You’ll have the opportunity to shape how Mistral shows up across a diverse set of markets — from Singapore and Indonesia to Malaysia, Thailand, Hong Kong, and Taiwan — working closely with regional sales, global marketing, partners, customers, and senior stakeholders. You’ll bring together two important parts of our go-to-market strategy. First, sovereign and public sector. You’ll help build trusted relationships with government and public sector organizations through thoughtful executive engagement, policy-led conversations, roundtables, and high-touch experiences. Second, enterprise growth. You’ll work with sales to build demand and accelerate opportunities across some of the region’s most important and highly regulated organizations, including financial institutions, telecommunications companies, energy businesses, and other strategic accounts. This is an opportunity to build the playbook rather than inherit one. You’ll have significant ownership over strategy and execution, with the autonomy to experiment, move quickly, and see a direct connection between your work and Mistral’s growth in the region. WHAT YOU'LL DO CREATE EXCEPTIONAL FIELD EXPERIENCES - Own the strategy and execution of regional events, industry conferences, executive briefings, customer experiences, and intimate leadership gatherings. - Develop experiences that go beyond traditional events — creating meaningful conversations between Mistral, customers, partners, and industry leaders. - Balance strategic thinking with hands-on execution, from developing the program concept to being on-site to make it happen. CRAFT THE REGIONAL MARKETING STRATEGY - Develop and execute Mistral’s field marketing strategy across ASEAN, Hong Kong, and Taiwan, translating global priorities into locally relevant programs. - Work closely with regional sales leadership to identify market opportunities, priority accounts, and the programs that can have the greatest commercial impact. - Build scalable approaches that can work across diverse markets while retaining the local relevance needed to engage customers effectively. - Establish a clear view of marketing performance, from engagement and account penetration through to pipeline and revenue contribution. BUILD TRUSTED RELATIONSHIPS WITH GOVERNMENT AND PUBLIC SECTOR - Create high-touch marketing programs for government and public sector audiences, including executive roundtables, policy discussions, VIP briefings, and delegation visits. - Help position Mistral as a credible and trusted partner in conversations around AI, technology, sovereignty, and digital transformation. - Work closely with sales and leadership to create meaningful engagement with senior government and public sector stakeholders. ACCELERATE STRATEGIC ENTERPRISE ACCOUNTS - Partner with enterprise sales teams to develop account-based marketing strategies across priority accounts. - Create highly targeted 1:1 and 1:few campaigns designed to open doors, deepen relationships, and accelerate complex sales cycles. - Develop programs for strategic accounts across industries such as financial services, telecommunications, energy, and other regulated sectors. - Connect campaigns, events, content, and executive engagement into cohesive account strategies that move opportunities forward. SUPPORT THE REGIONAL ECOSYSTEM - Develop joint marketing and go-to-market programs with strategic partners, including systems integrators, telcos, technology partners, and global service providers. - Work with partners to extend Mistral’s reach across fragmented markets and create new opportunities for customer engagement. - Identify new partnership opportunities that can strengthen Mistral’s position across the region. BRING THE REGION'S VOICE TO MISTRAL - Represent the needs, insights, and opportunities of ASEAN, Hong Kong, and Taiwan within the global marketing organization. - Partner with Product Marketing and Demand Generation to adapt global messaging, campaigns, and assets for local markets. - Bring a deep understanding of local customer needs, cultures, regulations, and competitive dynamics to inform our global strategy. - Identify what is working in-market and turn those learnings into repeatable approaches across the region. WHAT WE'RE LOOKING FOR - Experience in field marketing, demand generation, regional marketing, or GTM within enterprise B2B technology, software, AI, infrastructure, or a related environment. - Strong experience working across Southeast Asia, Hong Kong and/or Taiwan, with an understanding of the different commercial and cultural dynamics across these markets. - Experience marketing to enterprise, regulated, or public sector audiences, ideally with exposure to financial services, telecommunications, energy, or government. - Experience creating high-touch executive programs such as roundtables, VIP briefings, customer events, or policy-focused engagements. - Strong understanding of account-based marketing, with the ability to build programs around strategic accounts and complex enterprise sales cycles. - Experience developing joint GTM or co-marketing programs with partners such as GSIs, telcos, hyperscalers, or technology providers. - A strong commercial mindset and ability to connect marketing activity to account engagement, pipeline, and business outcomes. - Excellent stakeholder management skills and the ability to build trusted relationships with senior sales leaders, customers, partners, and executives. - A strong communicator and storyteller who can represent Mistral confidently with senior audiences. - Someone who is highly adaptable and comfortable working across different cultures, markets, and ways of doing business. - A hands-on operator who enjoys moving between strategy and execution and isn't afraid to roll up their sleeves. - High ownership and low ego: you’re comfortable creating structure where there isn’t one, making decisions quickly, and taking responsibility for the outcome. 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 https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

👤 HumanFull-time

By Mistral AISep 10, 2026

GTM Strategy & Ops Lead - APJ

Negotiable

Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very 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. About the role This is a greenfield, high-ownership role. You'll be the first GTM Ops leader on the ground in APJ, building the operational infrastructure that enables our go-to-market team to move fast, forecast accurately, and scale sustainably across the region. You'll partner directly with the President of APJ and broader GTM leadership to stand up the core operating cadences, design territory and coverage models, and drive the strategic analyses that shape how we grow across APJ over time. This isn't a role for someone looking to maintain what's already been built — there isn't much yet. It's for someone who gets energized by the blank page, earns credibility through rigor and craft, and wants to be the person who shapes how a world-class GTM operation comes together in a new region. What you'll do - Serve as the embedded GTM strategy and operations partner for the APJ sales and GTM team, acting as a trusted advisor and operator to regional leadership - Build the core operating infrastructure from scratch — forecasting cadences, pipeline review processes, territory design, quota frameworks, and performance visibility - Drive regional business reviews and strategic analyses to identify trends, surface opportunities, and inform GTM decisions at the leadership level - Partner with GTM leadership and cross-functional stakeholders (Finance, Enablement, Data) to develop go-to-market strategy and resource plans for ANZ and APJ - Design and manage territory allocation to optimize sales team performance; provide data-driven recommendations that align with broader business objectives - Lead high-impact regional projects that improve efficiency and effectiveness across the APJ revenue organization - Serve as the connective tissue between the APJ GTM team and the global rev ops and strategy function — ensuring alignment, sharing what's working, and advocating for what the region needs - Hire and lead a team across APJ You may be a fit if - You have 15+ years in revenue operations or GTM strategy at a high-growth technology company, with meaningful depth in sales operations — not just analytical support - You've operated as a true business partner to GTM leadership, not just a data provider — you shape priorities, influence decisions, and earn credibility in the room - You've built operational infrastructure in an early-stage or rapidly scaling environment — you know what good looks like and can get there from zero - You have experience at a SaaS or consumption-based company and understand how that model shapes forecasting, metrics, and territory design - You're comfortable with ambiguity — this role involves real open questions about how a region builds and scales, and you'll help answer them - You're strong analytically, with the organizational rigor to manage multiple priorities and the communication skills to influence senior stakeholders - You have experience building territories, comp plans, and quotas for GTM teams and are fluent in Salesforce

👤 HumanFull-time

By AnysphereSep 10, 2026

GTM Applications Engineer

Negotiable

Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very 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. GTM Applications Engineer SpaceXAI’s go-to-market org is growing fast, and the software that runs it has to keep up. GTM Apps sits inside Revenue Operations and builds the internal products our Sales, Customer Success, Field Engineering, and RevOps teams use every day for account intelligence, forecasting, pricing, and more. We also enable other teams to build apps for themselves via enablement and maintaining shared infrastructure. As a GTM Applications Engineer, you’ll own product surfaces end-to-end by talking to users, shipping full-stack applications, keeping production apps healthy, and raising the bar on reliability and UX. This is product engineering for the people who sell and support the SpaceXAI suite of products. Our team has high leverage, lots of visibility, and we move fast. What you'll do - Design, build, and ship full-stack features for GTM Apps (TypeScript / Next.js and our shared internal stack), from idea through production - Enable our world-class sales team to exceed their ambitious goals with world-class software - Own a product surface and drive its roadmap (e.g. account intelligence, pricing, forecasting, our internal data API, etc) - Partner closely with RevOps, Data Engineering, and field teams to turn messy operational processes into durable software - Improve the reliability, performance, and user experience for critical software our GTM teams depend on for daily work - Build and maintain shared infrastructure other GTM builders can use (e.g. APIs, UI libraries, authentication frameworks, etc) - Triage and fix issues in our app suite and use that feedback as an input signal for your roadmap - Use AI tooling aggressively in your own workflow and, where it helps users, in the products you ship What we're looking for - You’ve shipped production full-stack products (web apps users rely on every day), not just scripts or dashboards - You’re strong in TypeScript and modern React / Next.js, and comfortable across the full stack (UI, APIs, data, etc) - You care about UX and clarity - You’ve worked closely with business users (Sales, Customer Success, Operations, or similar) and can translate fuzzy requests into software requirements - You’re comfortable with SQL and have worked with large datasets in a modern warehouse, and you’re a strong partner to data engineers - You take ownership of the entire SDLC end-to-end with the minimum required process overhead - Bonus: experience with Salesforce, Databricks, Vercel, Datadog, RevOps tooling, working on an internal platforms team, and using Cursor

👤 HumanFull-time

By AnysphereSep 9, 2026

Influencer Marketer

Negotiable

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 $11B - 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 ElevenLabs is building the creative suite for the AI generation. Millions of creators and marketers already use our platform to generate speech, music, images, and video — and many of the world's best creators already talk about our products organically. It's time to turn that signal into a real program. We are looking for an Influencer Marketer to build our influencer program from zero to one. You will own the entire channel: strategy, creator sourcing and vetting, deal negotiation, briefs and creative direction, campaign execution around product launches, and measurement. This is not a coordination role — you will be the owner and operator of a channel we believe can become one of our biggest growth levers. We are looking for the top 1% of people in this industry. The right person has already taken an influencer program from nothing to something — with real numbers to prove it — and wants to do it again with more budget, a better product, and a faster team. You have sharp taste in creators and content, you negotiate deals that work for both sides, and you think about influencer spend the way a performance marketer thinks about paid: in terms of true incremental impact, not vanity metrics. WHAT YOU WILL DO - Design and build the ElevenLabs influencer program from the ground up: strategy, creator tiers, budget allocation, and operating playbook - Source, vet, and sign creators across YouTube, TikTok, Instagram, and X whose audiences match our creator, marketer, and developer segments - Negotiate and structure deals — flat-fee integrations, performance hybrids, long-term ambassadorships — and manage creator contracts with Legal - Write briefs that protect brand quality while giving creators room to be authentic, and give fast, decisive feedback on draft content - Plan and execute creator campaigns around product launches, feature releases, and cultural moments across ElevenLabs and ElevenCreative - Own measurement: work with our data team on attribution and incrementality (we already run a halo attribution model), and make continue/pause/scale calls on every creator and agency based on true ROI - Partner with paid marketing on whitelisting and amplifying top creator content, and with social to extend campaign reach - Build repeatable systems — sourcing pipelines, rate benchmarks, brief templates, reporting — so the program scales beyond you REQUIREMENTS - A proven track record of building an influencer program from zero to a meaningful, measurable channel — you can walk us through the before and after with real numbers - Experience negotiating and closing creator deals across YouTube, TikTok, Instagram, and/or X, including non-standard structures (performance hybrids, ambassadorships, usage rights) - Fluency in measurement beyond last-click: promo codes, UTMs, lift studies, incrementality, and the judgment to make budget calls when attribution is imperfect - Sharp creator taste — you can tell which creators will move the needle for a product like ours and which will just burn budget - Excellent brief-writing and creative feedback skills; you raise content quality without killing authenticity - Experience managing meaningful budgets and working cross-functionally with paid, social, product marketing, data, and legal - A genuine understanding of the AI and creative tools landscape — you follow the space, use the tools, and have informed opinions about where things are headed BONUS - Built or scaled an influencer program at a creative tools, AI, or developer-facing company (e.g., Canva, Adobe, Figma, Notion, Runway, or similar) - Managed 7-figure annual creator/sponsorship budgets - Experience on the agency or creator side of the table — you know how the other side negotiates - Built adjacent programs: ambassador, affiliate, or B2B thought-leader partnerships - Multilingual capabilities GROWTH POTENTIAL We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Lead the influencer and creator partnerships function as the program scales, building a team around you - Expand into broader creator/community growth ownership across ElevenLabs brands - Move into growth or brand marketing leadership as the Growth org evolves LOCATION This role is remote-first and can be executed from anywhere between the US East Coast and Europe, with the ability to collaborate across EST–CET timezones. If you prefer, you can work from our offices in London, New York, Madrid, Warsaw and many more. #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.

👤 HumanFull-time

By ElevenLabsSep 10, 2026

Senior Full-Stack Software Engineer, (Forward depl...

Negotiable

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: - Creating custom AI applications that will impact millions of citizens - Generating high-quality training data for custom LLMs - Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: - Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery. - Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. - Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability. - Contribute to core platform features designed to be reused across diverse international client use cases. - Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture. Ideally you’d have: - Bachelor’s degree in Computer Science or a related quantitative field - 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP. - Proven ability to architect scalable, production-grade applications with a strong handle on cloud environments and infrastructure health. - Experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions. - A self-starting approach with the technical maturity to navigate ambiguous requirements and deliver reliable software. - Driven async communication methodologies to reduce communication frictions - Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape Nice to haves: - Proficient in Arabic - Past experience working in a forward deployed engineer / dedicated customer engineer role - Experience working cross functionally with operations 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.

👤 HumanFull-time

By Scale AISep 10, 2026

Technical Customer Success Manager, API

Negotiable

Perplexity's API Platform brings our work in AI, search, and agent orchestration to developers. Our customers range from AI-native startups to some of the world's largest technology companies. Working with them, alongside our own developments in building Perplexity’s core application gives our team direct exposure to how search, models, and tools are used to build and scale AI-native products and applications. ABOUT THIS ROLE We are looking for a technically fluent Customer Success Manager to help our API customers succeed and shape how we support them as the business grows. You will own a portfolio of customers, understand what they are building, and help them move from evaluation to production and broader adoption. Alongside your accounts, you will lead projects such as product and endpoint migrations, customer enablement, and communications for product updates and incidents. You will work directly with customers developing AI products and with the engineers building the APIs they depend on. As an early member of the team, you will help shape our customer success programs and bring what you learn from customers into product decisions. RESPONSIBILITIES - Own customer relationships across onboarding, adoption, retention, and expansion, building trust with developers, technical leaders, and business stakeholders. - Understand each customer's use case, integration, and success criteria. Help them evaluate the APIs, resolve adoption barriers, and establish a path to production. - Use account and product usage data to identify declining adoption, technical risks, and growth opportunities, then work with customers on specific next steps. - Investigate technical questions using API documentation, sample requests, and usage data. Coordinate with Engineering and Support on deeper issues and keep customers informed through resolution. - Lead customer-facing programs such as endpoint migrations, product rollouts, and enablement. Define milestones, coordinate internal owners, and track customer readiness and completion. - Manage customer communications for product changes, deprecations, and outages, partnering with technical teams to provide accurate updates and clear guidance. - Build and improve the API customer success playbook, including onboarding, account reviews, customer health signals, escalation paths, and sales-to-CS handoffs. - Partner with Sales and account owners on renewals and expansion, using adoption, consumption, and business outcomes to demonstrate value and surface risks early. - Bring customer feedback into product planning and work with Developer Relations and Support on documentation and enablement that address recurring needs. WHAT WE'RE LOOKING FOR - 4+ years of experience in customer success, technical account management, solutions engineering, or a related customer-facing role at a technology company. - Technical fluency: comfortable reading API documentation, making API requests, interpreting responses and errors, and discussing integration questions with developers. - A track record of driving adoption, retention, or growth across a portfolio of customers, with clear ownership of follow-through. - Experience creating or improving a customer program, playbook, or cross-functional process, not only operating an established one. - Strong written and verbal communication, including the ability to explain technical issues clearly and communicate carefully when facts are still developing. - Sound judgment in balancing account needs with strategic projects, setting priorities, and moving work forward without a detailed brief. NICE TO HAVE - Experience with APIs, developer tools, cloud infrastructure, or usage-based products. - Familiarity with AI applications, search, retrieval, or agents, including how customers evaluate quality, latency, and cost. - Working knowledge of Python or SQL for reproducing issues, analyzing usage, or automating recurring work.

👤 HumanFull-time

By PerplexitySep 11, 2026

Strategic Business Operations Lead, API

Negotiable

Perplexity's API Platform brings our work in AI, search, and agent orchestration to developers. Our customers range from AI-native startups to some of the world's largest technology companies. Working with them, alongside our own developments in building Perplexity’s core application gives our team direct exposure to how search, models, and tools are used to build and scale AI-native products and applications. ABOUT THIS ROLE We are looking for a Strategic Business Operations Lead to manage customer relationships and lead projects that help grow the API business. The role is roughly half customer-facing and half strategic and operational work, with an initial focus on building and improving our post-sale programs. You will own a portfolio of API customers, learning how AI-native companies and large enterprises evaluate, adopt, and scale AI infrastructure. Working closely with API leadership, you will help shape how the business operates and lead projects such as product migrations, customer enablement, and account coverage. You will put recommendations into practice, with results measured in customer adoption, retention, and growth. RESPONSIBILITIES - Manage a portfolio of API customer relationships, leading account conversations, understanding business priorities, and coordinating next steps across technical and commercial teams. - Build account plans around adoption, value, and growth. Identify risks early and partner with Sales and account owners on renewals and expansion. - Design and improve the post-sale operating model, including customer segmentation, account coverage, onboarding, health signals, and handoffs between teams. - Lead strategic projects across the API business, with an initial emphasis on customer adoption and retention. Scope the problem, develop a recommendation, coordinate execution, and track outcomes. - Run customer programs such as product and endpoint migrations, enablement, and rollout communications. Establish the audience, milestones, internal responsibilities, and follow-up needed for each. - Coordinate customer communications for product updates, pricing changes, deprecations, and incidents, working with Engineering, Support, and commercial teams on accurate messaging. - Analyze usage, consumption against commitments, renewal risk, and expansion signals to prioritize customer engagement and inform business decisions. - Build practical reporting, workflows, and automation that help the team manage a growing customer base. Partner with Finance and Billing Operations to improve the customer experience around credits, commitments, and billing. - Bring insights from customers into API planning and take on additional strategic initiatives as business priorities evolve. WHAT WE'RE LOOKING FOR - 5+ years of experience in business operations, strategy and operations, consulting, customer success, account management, or a related role. - A track record of taking ambiguous business problems from analysis through implementation, including projects that require coordination across multiple teams. - Strong analytical skills: comfortable working with spreadsheets, usage data, and business metrics to identify a problem, test a hypothesis, and recommend an action. - Strong relationship skills and a genuine interest in spending a substantial part of your time with customers. You can lead a conversation, understand their priorities, and take responsibility for the follow-up. - Curiosity about APIs and AI products, with the ability to learn technical concepts and work effectively with engineering teams. - Clear writing, commercial judgment, and the ability to balance ongoing customer relationships with longer-term projects. NICE TO HAVE - Direct customer-facing experience in a B2B technology company, including account management, customer success, partnerships, or solutions work. - Experience with API businesses, developer platforms, or consumption-based revenue models. - Working knowledge of SQL, CRM systems, or BI tools, and experience automating recurring analysis or workflows.

👤 HumanFull-time

By PerplexitySep 11, 2026

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