Browse AI Jobs — Page 149

Technical Program Manager, Billing

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 Anthropic's billing surface is growing fast. New products, new regions, and new channels all need to be metered, priced, invoiced, and reconciled, and the work to make that happen crosses billing engineering, GTM systems, finance, and support teams. Today much of it runs on escalations rather than programs. We're hiring a Technical Program Manager to own the cross-functional programs in this space. You'll partner closely with billing engineering, GTM systems, finance and treasury, product, and support, and give leadership a single clear view of priorities, dependencies, and progress. Responsibilities - Drive the cross-team programs that build billing platform foundations, from scoping and tradeoff decisions through delivery - Standardize how new commercial work enters billing: a framework driven intake, clear owners, and sequenced dependencies across billing teams and their stakeholders - Own the promotions program end to end: one repeatable path from proposal to configuration to reconciliation, for both self-serve and sales-led programs - Own commercialization and launch readiness for billing: no new product or SKU launches without pricing, metering, invoicing, and reporting in place - Own the change process for the charge pipeline - Run payments operations programs in partnership with finance and treasury, including currency and FX You may be a good fit if you - Have 6+ years of technical program management experience, with a track record of owning cross-functional programs end to end - Can reason about metering, invoicing, and payment flows, and the data pipelines behind them - Have run launch readiness programs where a new product needed its commercial and billing path in place before it shipped - Can build trust with engineers, finance and treasury partners, GTM systems, product, and support teams, and translate between them - Are comfortable driving outcomes across teams that don't report to you - Would rather build a repeatable process than keep fixing the same problem by hand Strong candidates may also have - Experience with promotions or credit programs or enterprise billing platforms - Familiarity with FX, treasury, month end close, or reconciliation - Background in payments operations, billing platform, or quote-to-cash product management - Familiarity with chargeback and refund operations The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 - $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

👤 HumanFull-timeSenior

By AnthropicAug 26, 2026

Senior Payroll Manager, APAC

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 Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a detail-oriented and skilled Senior Payroll Analyst to join our growing Finance team in Singapore. In this role, you will be responsible for managing all aspects of international payroll processing, ensuring accuracy, compliance, and timely delivery of payroll services to our employees across multiple countries. This role will report to our Head of International Accounting with a dotted line to the Head of Global Payroll. Responsibilities: - Execute full-cycle payroll processing for APAC international entities including India, Japan, South Korea, Australia, Singapore, and many more as we expand. - Support expansion of payroll operations to new countries including Singapore, New Zealand, and others - Support Corporate Accounting with month-end payroll related accounting tasks and questions - Ensure compliance with local tax regulations and employment laws across all jurisdictions - Manage relationships with third-party payroll providers - Respond to employee inquiries regarding international payroll matters in a timely and professional manner - Partner closely with the equity team to process stock options - Resolve international tax notices from various tax authorities - Collaborate with People, Tax, Global Mobility, Finance, and other departments to resolve payroll discrepancies and implement process improvements - Assist in preparing international payroll reports and analytics for management review - Support payroll systems integration projects and process automation initiatives - Process end-to-end payroll using Workday and Global Payroll Platform (PwC) You may be a good fit if you - Hold a bachelor's degree in Accounting, Finance, or related field - Have 10+ years of experience in payroll operations, with at least 5 years in international payroll - Are proficient in payroll processing for various compensation types (regular, off-cycle, severance, taxable benefits, and equity) - Have strong knowledge of international payroll regulations and compliance requirements - Are experienced with payroll journal entries, account reconciliations, and month-end close procedures - Have experience working with Workday HRIS and global payroll providers such as PwC GPP platform (preferred) - Possess excellent attention to detail, ability to multitask and maintain accuracy under tight deadlines - Have strong analytical and problem-solving skills - Are proficient in Microsoft Excel and Google Sheets Strong candidates may also: - Have experience supporting rapid international expansion - Possess knowledge of European employment law and tax regulations - Have experience with payroll systems implementations - Be familiar with Workday or other major HRIS platforms - Hold a bachelor's degree in Accounting, Finance, or related field - Have 5-6+ years of experience in payroll operations, with at least 3 years in international payroll - Are proficient in payroll processing for various compensation types (regular, off-cycle, severance, taxable benefits, and equity) - Have strong knowledge of international payroll regulations and compliance requirements - Are experienced with payroll journal entries, account reconciliations, and month-end close procedures - Have experience working with Workday HRIS and global payroll providers - Possess excellent attention to detail, ability to multitask and maintain accuracy under tight deadlines - Have strong analytical and problem-solving skills - Are proficient in Microsoft Excel and Google Sheets 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-timeSenior

By AnthropicAug 26, 2026

Senior Manager, Infrastructure Tax

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 Anthropic is making significant, sustained investment in compute infrastructure to support our AI safety mission. We are looking for a Senior Manager, Infrastructure Tax to work alongside the Infrastructure Tax Lead on that portfolio. The Lead owns the integrated tax position across the portfolio. This role carries the day-to-day execution of it: running intake on individual deals, owning defined workstreams end to end, building the models and documentation, and coordinating the work across Legal, Technical Accounting, FP&A, International Tax, Transfer Pricing, and Provision. This is a hands-on role for a tax practitioner who wants to own workstreams on one of Anthropic's largest capital commitments. It reports to the Infrastructure Tax Lead. Key responsibilities - Run deal intake for individual infrastructure transactions: gather facts on site specs, counterparty structure, commercial terms, and timing; prepare the structure review and term-sheet input for the Lead's sign-off early enough to shape the deal - Analyze service versus lease characterization, entity structure, and contract tax provisions for assigned deals, working with the Tax Transactions and Tax Planning teams and escalating judgment calls to the Infra Tax Lead - Build and maintain the after-tax deal economics models: bonus depreciation on large-scale buildouts, NOL utilization, and scenario analysis; work with Tax Planning, Tax Operations, and Infrastructure Accounting so the tax assumptions in deal approval packages are accurate - Prepare the tax-side inputs for Technical Accounting on lease-versus-purchase treatment, consolidation questions, capitalization policy, and book-tax differences across deal structures - Execute on datacenter entity structures across jurisdictions under the Lead's direction: entity formation, operationalization with local teams, contemporaneous documentation, withholding on cross-border financing, permanent establishment analysis, and debt-versus-equity characterization - Support transfer pricing on the infrastructure footprint: gather the facts, maintain the documentation for intercompany compute pricing, and coordinate benchmarking - Prepare the quarterly inputs for the tax provision team on new structures and deferred tax positions so there are no surprises between deal close and quarter close - Draft and maintain infrastructure tax playbooks, issue-spotting checklists, and internal trackers, and keep them current as deals close Minimum qualifications - Experience supporting entity structures across multiple jurisdictions, including contemporaneous documentation and working with local finance, legal, and accounting teams - Working knowledge of cross-border withholding on intercompany and third-party financing, permanent establishment analysis, and debt-versus-equity characterization - A track record of owning discrete workstreams on capital-intensive deals from intake through post-close and carrying them to completion with limited supervision - The ability to work across Legal, Accounting, FP&A, and business teams, carry several deals in parallel, and know when to escalate - Strong written and verbal communication, including written analysis that a tax lead can review and sign off on quickly - Comfort with ambiguity and a fast-moving environment Preferred qualifications - 8 to 10 years of tax experience with exposure to datacenter or infrastructure tax planning, including some international work - Big 4 or law firm experience in a datacenter or infrastructure tax practice - In-house tax experience at a hyperscaler, cloud provider, or large-scale datacenter operator - Hands-on transfer pricing experience for intercompany services or compute, including benchmarking and documentation - Experience with the owner-operator transition: construction-period capitalization, placed-in-service timing, property tax during buildout, and sales and use tax on construction inputs versus operating equipment - Experience with non-US datacenter tax regimes and cross-border infrastructure structures - JD, LL.M. in Taxation, CPA, or MST a plus 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: $180,000 - $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

👤 HumanFull-timeRemoteSenior

By AnthropicAug 26, 2026

Product Manager, Growth

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 Claude is one of the fastest-growing AI products in the world, with tens of millions of users worldwide relying on Claude across web, mobile, and desktop. As a Product Manager, Growth, you will play a crucial role in driving growth for Claude across measures such as acquisition, activation, retention, and monetization. You'll work closely with a cross-functional team of engineers, designers, marketers, and data scientists to develop and execute strategies that accelerate our growth while maintaining our commitment to safety and beneficial AI. Responsibilities - Develop and execute a product strategy focused on acquisition, activation, retention, and monetization of Claude - Lead the ideation, development, and launch of features that drive growth across our product suite - Analyze product metrics and user feedback to identify opportunities and optimize performance - Collaborate with engineering, design, and marketing teams to deliver high-impact growth initiatives - Conduct user research to understand customer needs and pain points - Define and track key performance indicators (KPIs) for growth initiatives - Balance rapid iteration with our commitment to AI safety and ethics Minimum Qualifications - Strong analytical skills, and experience with A/B testing and funnel optimization - Excellent communication and stakeholder management skills - Ability to thrive in a fast-paced, ambiguous environment - Passion for AI technology and its potential impact on society - Technical background or ability to work effectively with engineering teams - Founder experience is a plus Preferred Qualifications - 6-10 years of product management experience, majority in growth focused roles - Growth experience on mass-scale B2C products, bonus for subscription businesses - Experience with product-led growth in business and enterprise contexts The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $385,000 - $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

👤 HumanFull-timeSenior

By AnthropicAug 27, 2026

Finance & Strategy GTM, EMEA

Negotiable

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 Anthropic is seeking a Corporate Development Integration Lead to own the critical post-signing phase of our M&A activity — from confirmatory diligence through integration planning to full operational follow-through. As Anthropic's corporate development function matures and transaction volume increases, this role will serve as the connective tissue between deal teams, product and engineering organizations, and the acquired teams themselves, ensuring that acquisitions deliver on their strategic thesis. This is a high-visibility, cross-functional role that sits at the intersection of M&A execution and operational excellence. You will define and scale the integration playbook, build repeatable processes for technical and organizational integration, and work directly with executive leadership to ensure each deal realizes its intended value. The ideal candidate has deep prior integration experience at high-growth technology companies and brings a structured, hands-on approach to navigating the complexity that arises after a deal signs. You are energized by turning strategic intent into operational reality. You thrive working across organizational boundaries, are comfortable operating in ambiguous and fast-moving environments, and understand that integration is where M&A value is ultimately created or destroyed. Join us in building the infrastructure that ensures Anthropic's acquisitions create lasting value — both for the mission of safe AI and for the brilliant teams we bring into the organization. This role offers a rare opportunity to shape how one of the most consequential companies in AI executes and integrates its growth strategy. Key responsibilities - Lead confirmatory diligence workstreams post-LOI, coordinating with legal, finance, product, engineering, and research teams to validate the strategic and technical thesis before deal close - Develop and maintain due diligence frameworks tailored to Anthropic's acquisition types (acquihires, technology acquisitions, transformational deals), ensuring consistent and thorough assessment of technical assets, talent quality, IP, and organizational fit - Own the integration readiness assessment — identify risks, flag cultural or operational gaps, and provide go/no-go input to deal sponsors before signing - Coordinate technical deep dives with engineering and research leadership to validate product-market fit, code quality, and team capabilities - Design and own end-to-end integration plans for each transaction, covering organizational structure, reporting lines, tooling migration, product roadmap alignment, and day-one operational continuity - Build and maintain a scalable integration playbook, establishing best practices, templates, and decision frameworks that can be reused across future deals - Develop integration timelines and milestones in close coordination with product, engineering, HR, IT, and legal to ensure cross-functional alignment before and at close - Facilitate introductions and relationship-building between acquired teams and internal stakeholders during the planning phase to accelerate ramp and reduce post-close friction - Model financial and operational scenarios to stress-test integration assumptions and identify contingency plans - Drive day-one and day-100 integration execution, tracking milestones against plan and escalating blockers to deal sponsors and executive leadership in real time - Serve as the primary point of contact for acquired teams during the transition period, ensuring they have the information, access, and organizational support needed to be productive and retained - Partner with HR and people managers to design onboarding and retention plans for key talent, with particular focus on acquired engineering, research, and product leaders - Conduct post-integration retrospectives to capture lessons learned, measure outcomes against the original deal thesis, and feed insights back into future integration planning - Build and report integration KPIs to leadership, including retention rates, product milestone achievement, and operational readiness benchmarks Minimum qualifications - Possess strong technical fluency — either through prior software engineering or product experience, or deep familiarity with evaluating technical organizations and codebases - Are skilled at building cross-functional relationships and can effectively coordinate across product, engineering, legal, HR, and finance teams - Excel at translating strategic objectives into actionable operational plans with clear timelines, owners, and accountability - Thrive in fast-paced, ambiguous environments and can maintain both urgency and precision when managing multiple parallel workstreams - Have strong written and verbal communication skills, with the ability to present integration status and recommendations clearly to executive leadership - Are genuinely excited about AI safety and aligned with Anthropic's mission to build reliable, interpretable, and steerable AI systems Preferred qualifications - Have 10+ years of corporate development or M&A integration experience, with a demonstrated track record of leading post-acquisition integrations at high-growth technology companies - Have direct experience in AI/ML companies or deep learning research environments, with an understanding of the unique talent dynamics in frontier AI - Have built or significantly contributed to a corporate development integration function, including the creation of playbooks, frameworks, and repeatable processes - Bring experience with acquihire integrations, including deep familiarity with technical talent retention and the unique challenges of integrating small, high-output engineering teams - Have an MBA or advanced technical degree (Computer Science or equivalent) - Demonstrate experience managing stakeholder expectations across multiple simultaneous integrations with competing timelines - Possess experience with international or cross-border transaction integration, including navigating differing cultural norms and regulatory requirements The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $325,000 - $425,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

👤 HumanFull-timeSenior

By AnthropicAug 26, 2026

Applied AI Strategist, EMEA

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 As an Applied AI Strategist for EMEA, you will be Anthropic's senior strategic voice with EMEA’s most strategic customers. You'll engage C-suite executives and senior business leaders at Europe's and the Middle East's largest enterprises to understand their challenges, shape their vision for how AI transforms their strategy, and build alignment toward bold, high-impact AI adoption. This is not a hands-on engineering role. Your job is to walk into a boardroom in cities like London, Paris, Frankfurt or Milan, quickly read the competitive landscape, regulatory context and organizational dynamics, and help leaders see a compelling future centered on Claude. You'll lead our Executive Briefings (EBCs), own strategic positioning and proposals for top-tier EMEA accounts, and build the content, value frameworks and templates that let the wider team operate credibly at the executive level. You'll bring deep enterprise technology experience and a track record at the intersection of business strategy and technical execution in European markets. Whether you've been a CTO, Field CTO, consulting partner or a world-class senior technical seller, what matters is that you know how large European organizations make technology decisions (regulators, procurement and works councils included) and can meet executives where they are with credibility, clarity and conviction. Responsibilities - Lead Executive Briefings (EBCs) for Anthropic's most strategic EMEA accounts, reframing how C-suite leaders think about AI and adapting narrative, tone and proof points to each market and culture. - Own strategic positioning for top-tier customers: executive narratives, value cases, strategic proposals and success plans, built with Sales and Applied AI. - Create content that enables the team in executive-facing engagements: industry points of view for our core sectors (financial services, insurance, telco, manufacturing and automotive, life sciences, energy, public sector, retail and luxury), value frameworks, and templates for strategic proposals and success plans. - Turn the European regulatory landscape (EU AI Act, GDPR, DORA, EU AML regulations, data residency and sovereignty) from a perceived blocker into part of the case for Claude. - Partner with Sales and Applied AI before and after engagements to align, debrief and carry the vision through to execution; stay close to high-momentum accounts as a trusted advisor and sustain deal momentum. - Travel regularly across EMEA for executive engagements, workshops and strategic account meetings. You may be a good fit if you have - 15+ years in enterprise technology or management consulting, with significant time at executive level in core EMEA markets (UK&I, France, DACH, Nordics, Benelux, Southern Europe, Middle East and Africa). - A track record of influencing C-suite leaders at large European enterprises, and the cultural range to do it differently in Paris, Munich and Milan. - Deep understanding of how large, often regulated, organizations evaluate, adopt and scale technology. - The ability to connect AI capabilities to strategic outcomes through clear value frameworks and business cases. - Experience producing executive-grade content others reuse: industry perspectives, strategic proposals, success plans. - Strong opinions about what makes enterprise transformation succeed or fail, earned by leading or advising these efforts. - Comfort with ambiguity and pace in a fast-moving market. - A collaborative mindset: sales at Anthropic is a team sport. English plus another major European language is a strong plus. - Travel will be more than 50% of your time with this role covering EMEA - Excitement about AI's potential to transform how enterprises operate, and a real desire to help customers succeed with it. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £230,000 - £270,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

👤 HumanFull-timeSenior

By AnthropicAug 26, 2026

Deployment Strategist - DHS/DOJ

Negotiable

Scale is building AI for the world’s most important decisions. From the front lines of homeland security to the core of global enterprise, we provide the data engine and agentic infrastructure that powers the next generation of American and allied interests. As a Deployment Strategist supporting DHS and DOJ, you will be responsible for bridging the gap between cutting-edge AI research and mission-critical production. You will lead the charge in deploying Agentic AI, autonomous reasoning systems, into the heart of homeland security and law enforcement workflows, ensuring that some of the nation’s most consequential decisions are supported by the world’s best technology. Deployment Strategist (DHS/DOJ) We are looking for a powerhouse executive account leader who understands that winning at DHS and DOJ isn’t about a successful 6-month pilot; it’s about becoming an enduring, funded capability inside a component’s operational baseline. You will focus on landing and transitioning high-stakes prototypes into full-scale enterprise deployments, navigating the complexities of the Valley of Death by securing executive sponsorship and programmed funding. Responsibilities: This is an individual contributor role with heavy leadership expectations. You are the "CEO of the Account," responsible for the following: - Full-Spectrum Capture & Quota Ownership: Carry and exceed a multi-million dollar annual revenue quota. You are responsible for the entire lifecycle: from identifying the top of funnel opportunity and shaping requirements to the final contract award and revenue recognition. - Tactical Execution: You don’t just delegate; you execute. You will personally draft high-impact white papers, lead the development of complex proposals, architect deal structures, and navigate the nuances of federal civilian contracting, including OTAs, GSA schedules, and component-specific IDIQ vehicles. - Operational Transition: Once the deal is signed, your job isn’t over. You will continue to lead the account, ensuring that the delivery team (Engagement Managers, Technical PMs, Engineers, and Product) enables mission success. You are the primary point of contact for the customer, ensuring the pilot doesn’t just work, but scales. - Renewal, Expansion, & Growth: Own the long-term account strategy. You are responsible for identifying the next use case, securing the follow-on funding, and driving the 10x growth that turns a single component deployment into a department-wide enterprise standard. - Direct Agentic Solutioning: Work in the weeds with technical teams and end-users to co-design Agentic AI workflows. You must be able to translate a customer’s vision into a specific technical requirement that our engineers can build against. - SI & Prime Orchestration: In partnership with Scale’s Partner Managers, you will actively manage and negotiate with Tier 1 Systems Integrators and federal primes to ensure Scale is the agentic AI engine of their larger programs. You will be the lead negotiator for sub-contracting and teaming agreements. Requirements: - Experience: 10+ years of experience in complex enterprise IT sales or business development, specifically within DHS, DOJ, or the broader federal law enforcement and homeland security market. - Proven Track Record: You have successfully closed and implemented multi-year deals exceeding $25M. You know how to get a line item in the budget. - Domain Expertise: Deep understanding of DHS and DOJ modernization priorities, specifically in AI/ML, computer vision, biometrics, screening and vetting, investigative analytics, or case management. - The Valley of Death Navigator: You have a demonstrated ability to transition technology from "cool demo" to "deployed capability" within a major component program office. - Strategic Network: Existing high-level relationships across DHS and DOJ components (CBP, ICE, USCIS, TSA, CISA, FBI, DEA, ATF, USMS) and their CIO and enterprise IT organizations, as well as a Rolodex of contacts at the major federal integrators. - Clearance: Active Secret clearance is strongly preferred; TS/SCI and existing component suitability are a plus. - Education: BS/BA required; technical degree or MBA preferred. - Geography: Based in the National Capital Region, with the ability to work out of Scale’s D.C. office 2-3 days a week. - Travel: Ability to travel 20-30% of the time. Who you are: - Mission-Driven: You believe that whoever wins in AI wins the next century, and you want that to be the United States and its allies. - Relentless: You thrive in the long-game of defense procurement. You aren't discouraged by bureaucracy; you see it as a puzzle to be solved. - Adaptive: You can operate in the high-velocity environment of a Series E startup while maintaining the polish required for the Pentagon. - The Closer-Operator: You have the executive presence to brief a PEO. - Radically Accountable: You don't wait for a marketing lead or a BD specialist to hand you a deal. You build your own funnel, navigate the "No's," and find the creative path to "Yes." - Technically Credible: You aren't a software engineer, but you can explain the difference between RAG and Agentic reasoning to a skeptical technical evaluator. Sales Commission: This role is eligible to earn commissions. The base salary range for this full-time position in the location of San Francisco, New York, or Seattle is [ ]. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC is: $176,800 - $221,000 USD 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-timeSenior

By Scale AIAug 26, 2026

Manager, Applied AI Engineering (Codex)

$302,000 – $335,000

About the Team The Applied AI Engineering team is responsible for helping customers turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Codex Applied AI Engineering team focuses on helping organizations transform how software is built with AI. We partner directly with engineering teams and technical leaders to integrate Codex into their software development lifecycle — from identifying high-impact use cases and designing AI-enabled workflows to implementation, evaluation, and scaled adoption. Our work helps ensure AI-powered software development is effective, reliable, secure, and deeply integrated into how engineering organizations operate. About the Role We are seeking an experienced technical leader to join as Manager, Applied AI Engineering (Codex) , leading a team of Applied AI Engineers responsible for driving successful Codex adoption across strategic customers. Your team will work hands-on with customer engineering organizations to design and build AI-enabled development workflows, solve complex implementation challenges, and establish scalable patterns for AI-powered software development. As a manager, you will shape how these technical engagements operate at scale — setting strategy, coaching engineers, determining where the team can have the greatest impact, and ensuring consistently strong execution across customers. You will serve as both a people leader and senior technical advisor, partnering closely with Sales, Product, Research, and Engineering to translate customer needs and real-world usage into better technical approaches, reusable patterns, and product insights. Success in this role will be measured by meaningful and sustained Codex adoption, successful customer outcomes, and the creation of repeatable technical patterns that help engineering organizations get more value from AI. This role is open in our San Francisco office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In This Role, You Will - Lead, hire, and mentor a high-performing team of Applied AI Engineers supporting Codex customers across strategic accounts. - Own the operating model and technical engagement strategy for Codex Applied AI Engineering, helping customers move from initial exploration to meaningful, scaled adoption. - Guide teams in designing and implementing AI-enhanced development workflows, agentic systems, automations, evaluations, and scalable application architectures. - Act as the senior technical escalation point and thought partner for complex customer implementations and engineering challenges. - Partner with Sales, Product, Research, and Engineering teams to align customer outcomes with product direction and roadmap priorities. - Establish repeatable technical patterns, playbooks, reference architectures, and best practices that enable broader adoption of AI-powered software development. - Coach Applied AI Engineers to operate as trusted technical partners to engineering leaders, executives, and highly technical customer teams. - Synthesize insights from customer engagements and translate them into actionable feedback for Product, Research, and Engineering. - Develop a deep understanding of how customers are using Codex, where they encounter friction, and where new technical approaches or product capabilities could unlock greater impact. - Champion safe, reliable, and effective adoption of AI-powered development workflows across industries. You’ll Thrive in This Role If You - Have 8+ years of experience in deeply technical, customer-facing roles such as applied engineering, solutions architecture, deployment engineering, technical consulting, or similar roles. - Have 2+ years of experience leading technical teams, including hiring, mentoring, and developing engineers. - Have experience building or deploying generative AI, developer platforms, agentic systems, or cloud-based software solutions in production environments. - Possess strong hands-on software engineering experience and fluency with programming languages such as Python or JavaScript. - Understand modern software development lifecycles and have strong intuition for how AI and coding agents can change how software is designed, built, tested, and maintained. - Can work directly with customer engineering teams to understand ambiguous problems, develop technical approaches, and turn ideas into working solutions. - Are an effective communicator who can translate complex technical and business topics for both engineering teams and executive stakeholders. - Thrive in ambiguous, fast-moving environments and enjoy building new operating models, technical patterns, and teams from first principles. - Demonstrate strong ownership, humility, technical judgment, and a commitment to helping both customers and teammates succeed. - Are personally committed to fostering the safe and beneficial development of AI. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

👤 HumanFull-timeMid

By OpenAINov 9, 2026

AI Engineer, Enablement

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 TEAM The Enablement team helps customers build real fluency with agent engineering and the LangSmith platform through live training, hands-on workshops, and technical content that scales beyond 1:1 time. ABOUT THE ROLE You'll set the technical foundation for how customers learn to build reliable agents with the LangChain ecosystem, teaching their teams to work effectively with LangChain, LangGraph, Deep Agents, and LangSmith through instructor-led workshops, written content, and reference implementations. We work closely with the broader GTM org to make sure every customer has the skills and confidence to build independently. You are someone who's built real agent systems, can defend the tradeoffs in them, and genuinely loves teaching, whether that's a live workshop for 50 engineers or a debugging session with one stuck developer. You'll also build the internal agents and tools that make the Enablement team itself more efficient. WHAT YOU'LL DO - Design and deliver live, hands-on workshops that build real product fluency, not just familiarity - Create enablement assets (tutorials, reference implementations, best-practice guides) that scale beyond individual sessions - Offer technical guidance or office hours as questions come up - Build internal agents and tools that streamline how the Enablement team operates, automating processes so the team scales efficiently - Act as the voice of the customer inside LangChain, feeding friction points back to Product and Engineering - Stay current on agent engineering practices and fold what you learn into what you teach WHAT YOU'LL BRING Technical: - 3+ years building LLM/agent applications, with experience designing agent architectures and evaluation strategies - Strong Python, comfortable writing and debugging code live, in front of a customer Customer-facing & Education: - 2+ years in a technical, customer-facing role (Enablement, Customer Success Engineering, Solutions Engineering, or similar), including experience designing and delivering live workshops - A genuine excitement for teaching, the kind where you'd rather leave a customer more capable than impressed - Demonstrated ability to create and deliver high-quality technical training programs, including live workshops, written tutorials, documentation, and video guides - Exceptional presentation and communication skills, with the ability to explain complex technical concepts to diverse audiences, from individual developers to enterprise stakeholders Additional: - Comfortable operating independently in ambiguity and managing several customer engagements at once - Curiosity to stay at the forefront of agent engineering in industry to identify evolving trends and quickly incorporate learnings into customer enablement materials - Willing to travel up to 20% of the time NICE TO HAVE - You've deployed AI agents in production, especially using LangChain, LangGraph, Deep Agents, or similar frameworks - Hands-on experience with LLM evaluation, observability, or guardrails - Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - TypeScript/JavaScript in addition to Python Compensation: - $150-$195k + 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-timeMid

By LangChainAug 26, 2026

Product Designer, Core Apps

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 Design at Anthropic sits at the intersection of craft, research, and product intuition. We're a small team working on products that millions of people use daily—and on interactions that don't have established conventions yet. Our work shapes how people experience AI: whether Claude feels like a tool or a collaborator, whether it earns trust or erodes it. We partner closely with engineers and researchers, often designing around capabilities that are emerging in real-time. That means staying close to the models, prototyping rapidly, and being comfortable with ambiguity. We care deeply about craft—the details that make something feel polished and trustworthy—but we ship fast and learn in the open. We'd rather get something in front of users and iterate than wait for perfection. We're looking for designers who ship fast and stay in motion—people who would rather get something in front of users this week than perfect it for a month, and then spend then next months perfecting it. You're excited to question fundamental UI assumptions and invent patterns that feel native to AI, and you're already using tools like Claude Code to extend what you can build. You pay attention to where model capabilities are heading, not just what Claude can do today, and you find ways to keep caring about the pixels, the copy, and the edge cases while shipping quickly. Read more here for the type of features we build. Key responsibilities - Collaborate with product managers, engineers, AI researchers and other stakeholders to define product vision, strategy and roadmaps, and play an active role in shipping. - Understand the technical architecture of our products and define primitives for new capabilities. - Define feature areas with exceptional attention to detail and polish, identifying opportunities to improve quality and consistency of broader flows - Craft beautiful, polished, and delightful user interfaces that build trust and showcase the power of our AI technology - Comfortable in code, design, prototypes, and learning new ways to communicate ideas and concepts - Find creative ways to ship high-quality work in a fast-paced, often ambiguous, resource-constrained startup environment Minimum qualifications - Experience designing and shipping complex workflows, enterprise/B2B SaaS, developer tools, or API products end-to-end - Proven track record of executing end-to-end on large and complex products, or a series of products, in ambiguous environments - A portfolio demonstrating user-centered design thinking and polished UI craftsmanship - Proficiency with modern design and prototyping tools, such as Figma - Experience using AI tools such as Claude Code as a creative partner in your own design practice Preferred qualifications - Experience prototyping with front-end code (e.g., HTML/CSS/JS) - Excellent collaboration and communication skills to work effectively with cross-functional teams and influence without authority - Passion for crafting scaled, highly impactful, safe and beneficial artificial intelligence technologies to enable new possibilities Representative projects Specific projects and responsibilities depend on team staffing, which we'll discuss once we've seen more of your work and understood your strengths and interests. A few examples across teams: - Core Apps: Pioneer new ways for Claude to be a true partner in people's day to day lives. Build industry-leading tools for coding, work, design and more, shaping the way people leverage AI at work in transformative ways. - Growth: Design intuitive onboarding flows that help new users get started quickly, understand Claude's capabilities, and achieve their goals in the first session. Uncover barriers that prevent users from getting the most out of Claude and create experiences that empower them to make it a trusted part of their routine. - Developer Platform: Support frontier capabilities and API features via tooling, workflows, and documentation. Define the future suite of utilities for developers to confidently build, monitor and control agentic systems. - Enterprise & Verticals: Shape how teams work with and bring Claude to their entire workforce. You'll turn the messy reality of knowledge work (research, analysis, writing, decisions across a dozen tools) into experiences where Claude is a true collaborator, backed by the admin and governance controls that let an org to use AI to the fullest. 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: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

👤 HumanFull-timeMid

By AnthropicAug 26, 2026

Product Manager, Multimodal Safety

$293,000 – $325,000

About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. About the Role We are hiring a Product Manager to focus on risk related to multimodal models. In this role, you will drive initiatives which ensure that OpenAI’s audio, image, and video deployments are safe, impactful, and aligned with user needs and technical innovation. You will clarify strategic priorities, develop safety-focused product roadmaps, and collaborate closely with AI researchers, software engineers, policy experts, and cross-functional partners. This role suits a proactive, technically skilled product manager adept at adversarial thinking and excited to tackle challenging, ambiguous problems through structured analysis and collaborative decision-making. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: - Partner closely with AI research, engineering, data science, policy teams, and other stakeholders to embed safety throughout the development and deployment of multimodal AI models - such as GPT-Live and ChatGPT Images - as well as multimodal capabilities in frontier AI models. - Develop comprehensive frameworks for understanding and mitigating deployment safety risks, drawing on data analysis, expert consultation, and adversarial assessments. - Define strategic priorities and product roadmaps focused on improving deployment safety, enhancing reliability, and managing multimodal AI capabilities. - Create scalable approaches for evaluating and improving safety outcomes. - Establish repeatable processes to integrate cutting-edge AI safety research into OpenAI’s models and product offerings. - Develop and continuously refine clear, actionable metrics that effectively capture safety performance and user experience at scale. You might thrive in this role if you: - Have 6+ years of product management or related industry roles, with specific expertise in AI safety, trust & safety, integrity, or related domains. - Are deeply curious and interested in interdisciplinary fields such as human-computer interaction, psychology, philosophy, or similar areas. - Have hands-on experience driving consensus and action in ambiguous spaces. - Excel at identifying and challenging underlying assumptions and constraints through insightful questioning. - Are highly effective at cross-functional collaboration and communicating complex technical concepts clearly and persuasively. - Enjoy working in a fast-paced, high-growth environment. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

👤 HumanFull-timeSenior

By OpenAIAug 26, 2026

Staff+ Software Engineer, RL Data Platform

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 Anthropic's RL Data Platform team builds the systems that produce, move, and serve the human data Claude learns from: the interfaces humans use to give feedback, the pipelines that turn raw feedback into training signal, and the tooling researchers use to launch, monitor, and inspect data collection. Every RL run depends on a steady supply of high-quality data - human feedback, expert demonstrations, graded transcripts - and when a researcher has an idea for new data on Monday, our job is to make it collectable by Wednesday and in the training mix by Friday. This is a full-stack, ownership-heavy role on a small, senior team. You'll design and ship web interfaces used by thousands of expert annotators, build the backend services and data pipelines behind them, and work directly with RL researchers to understand what data they need and why. You'll scope your own projects, make architectural calls, and see them through to production. We're looking for engineers who treat researchers as their users, build for reliability first, and care as much about the shape of the data leaving the system as the UI going into it. Key responsibilities - Design, build, and operate the feedback and data collection interfaces used by human annotators, domain experts, and internal researchers. - Build and maintain the backend services, APIs, and pipelines that route model samples to humans and return structured feedback to training. - Own the reliability, latency, and usability of systems that run continuously against live model endpoints. - Partner with RL researchers to translate loosely specified data needs into well-scoped collection campaigns and the tooling to run them. - Build dashboards, monitoring, and inspection tools so researchers can see data quality and throughput without asking an engineer. - Identify and remove the bottlenecks between "we want this data" and "it's in the training mix". Minimum qualifications - Strong full-stack engineering skills, with production experience in TypeScript/React on the frontend and Python on the backend. - Experience designing and operating backend services and data pipelines that other teams depend on. - A track record of owning projects end-to-end, from an ambiguous brief to something in production that people use. - Comfort working directly with technical stakeholders whose needs change week to week, and the judgment to push back when something isn't worth building. - Effective use of AI tools in your own day-to-day work. - Care about the societal impacts of your work. Preferred qualifications - Experience building annotation, labelling, evaluation, or other human-in-the-loop data tooling. - Experience with RLHF, preference data, or other human-feedback pipelines for ML systems. - Experience shipping researcher-facing or other expert-facing internal tools people love: interviewing users, hunting down friction, measurably improving the experience. - Experience running experiments on data collection interfaces and using the results to improve data quality. - Experience working with crowdworker or expert vendor platforms at scale. - Familiarity with how LLMs are trained and evaluated. Representative projects - Build an interface that lets a domain expert review a long agentic transcript, flag the step where things went wrong, and write a corrected continuation - with the result landing in a training-ready format. - Rework the sampling path between our feedback interfaces and model endpoints to cut time-to-first-sample for annotators. - Build a campaign launcher that lets a researcher stand up a new data collection effort (task, rubric, population, quality checks) without writing code. - Instrument annotator behaviour to detect low-effort or adversarial work and surface it to the quality team automatically. - Design the data model for a kind of feedback we haven't collected before, and ship the pipeline that gets it into the training mix. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

👤 HumanFull-timeExpert / Staff+

By AnthropicAug 27, 2026

Member of Technical Staff (AI Software Engineer, A...

Negotiable

Perplexity is seeking energetic engineers to join our highly driven Agents engineering team. The Agents team consists of backend, full-stack, and AI/ML engineers who collaborate to build harnesses and AI systems powering delightful agentic experiences. These experiences include Perplexity Computer https://www.perplexity.ai/computer (our platform for generalized frontier intelligence), the Comet ecosystem https://www.perplexity.ai/comet, our Agent API, and more. Our vision is to empower our users with agents that can faithfully actualize their intent, however and wherever expressed, through open-ended interactions with the world. As an engineer on our Agents team, you will bring AI expertise, sharp product intuition, and a tinkerer's mindset to advance the frontier of what agents can accomplish for our millions of devoted users. You will work across applied research and engineering to solve many open problems in AI, including: - Designing AI agents to navigate the digital world and perform increasingly valuable units of work for our users; - Training action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives; - Providing consistently excellent experiences across desktop, mobile, headless cloud, and other environments through flexible abstractions and frictionless backgrounding; - Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities; - Designing optimal data representations and modes of interaction between agents and their environments; - and much, much more. RESPONSIBILITIES - Engineer agent harnesses that connect powerful models with the environments and tools required to perform economically valuable work for users. - Drive cutting-edge AI capabilities across multiple layers of a rapidly growing product in the AI agents space. - Develop and leverage cutting-edge AI models, infrastructure, and browser technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase. - Ensure a high craft and quality bar, in both AI agent performance and user experience. - Collaborate with fellow engineers, designers, product managers, data scientists, and others across the company to integrate core Perplexity functionality into our frontier agentic products and vice-versa. - Contribute to product reliability, code quality, AI evaluation, testing, and maintenance across the broader team. QUALIFICATIONS - Strong foundational familiarity with the full AI product stack. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Significant experience in at least one of the following areas: - Context engineering and tool interfaces for frontier AI models - Post-training and reinforcement learning (particularly for multimodal models) - Browser technologies (CDP, Playwright, extension development, etc.) - Strong product intuition and taste for user experience excellence. - Comfortable working with a small, fast-moving team, must be willing to dive in and take ownership. - A passion for shipping products that surprise and delight.

👤 HumanFull-timeExpert / Staff+

By PerplexityAug 27, 2026

AI DevOps Engineer

Negotiable

About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results.

👤 HumanFull-timeRemote

By ZscalerAug 28, 2026

Principal Software Engineer, Post Training

Negotiable

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S.

👤 HumanFull-timeExpert / Staff+

By WaymoAug 28, 2026

Senior Staff Machine Learning Systems Engineer, Ad...

Negotiable

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.

👤 HumanFull-timeRemoteExpert / Staff+

By RedditAug 28, 2026

Machine Learning Research Scientist, Evaluations

Negotiable

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling) and evaluation. This role is on the evaluation pod within the GenAI Research Organization and will focus on building benchmarks and diagnosing model failure modes in both text and multimodal modalities. In this role, you will develop rigorous evaluations and diagnostic methods that reveal where frontier models fail and why.

👤 HumanFull-time

By Scale AIAug 28, 2026

Staff+ Research Engineer, RL Data Platform

Manager I, Engineering - AI Developer Products Everyone is building agent orchestrators; we think the harder problem is verification - knowing whether what an agent produced actually works, against real systems, before it ships. We’ve spent a decade collecting the production truth that makes that answerable, and we're looking for an Engineering Manager to lead the team turning it into a developer tool. You'll own the surfaces where developers work with coding agents day to day. This is early-stage product work with the distribution, data, and engineering depth of an established company behind it, and your first users will be Datadog's own engineers, giving you feedback loops measured in hours. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: (Describe role responsibilities here/max 6 bullets) - Lead and grow a team of engineers building AI-powered developer tools, owning hiring, ramp-up, and career development - Own the technical direction for the product we’re shipping, partnering closely with staff-level engineers on architecture decisions. - Drive down developer cycle time while raising the bar on correctness - making AI-assisted development both faster and more trustworthy - Partner with Product and Design to shape the roadmap for an early-stage product, translating ambiguous problems into shippable scope - Establish the execution rhythm for your team: planning, delivery, quality, and operational ownership of the services you build Who You Are: (Describe role qualifications here/max 6 bullets) - You’re actively shipping code with AI agents in production - You thrive in early-stage environments where the roadmap shifts and the right answer isn't known yet. - You have a genuine point of view on AI coding tools - where they help today, where they fall short, and what it would take to close the gap. - You have strong technical depth in full-stack development (TypeScript/React and systems-level work) and stay close enough to the code to earn the trust of senior engineers - You've built developer-facing products or tooling where speed, reliability, and developer experience were hard requirements 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: (Describe opportunities offered here) - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Continuous professional development, product training, and career pathing - Intradepartmental mentor and buddy program for in-house networking - An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) - Access to Inclusion Talks, our Internal panel discussions - Free, global mental 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-Hybrid 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-timeMid

By DatadogAug 25, 2026

Senior AI Platform Engineer, Microsoft 365 & Copil...

Negotiable

Senior AI Platform Engineer, Microsoft 365 & Copilot (3 year LTE) at Bill & Melinda Gates Foundation. Femtech Insider network role. Industry tags: Business And Industrial, Charity, Education, Financial Services, Food & Beverage, Gender Equality, Global Development, Global Health, Health Care, Human Resources Hr, Impact Investing, Lending and Investments. Skills: Software Engineering, Cloud Engineering, Microsoft 365, openai, Microsoft SharePoint, Data Governance, Automation. Locations: Seattle, WA, USA. Work mode: on site.

👤 HumanFull-timeSenior

By Bill & Melinda Gates FoundationAug 25, 2026

Senior ML Data Scientist, Health Sensing

Negotiable

Senior ML Data Scientist, Health Sensing at ŌURA. Femtech Insider network role. Industry tags: Consumer Electronics, Consumer Goods, Fitness, Hardware, Health Care, Mobile, Mobile Apps, Software, Wearables, Wellness. Skills: Machine Learning, Data Science, Deep Learning, Time Series, Signal Processing, Software Project Management. Locations: United States, Remote. Work mode: remote.

👤 HumanFull-timeRemoteSenior

By ŌURAAug 25, 2026

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