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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Head of State and Local Government Sales at Anthropic, you'll lead and scale our state and local government sales organization to drive the adoption of safe, frontier AI across state agencies, counties, cities, and other local government entities throughout the United States. You'll leverage your deep understanding of state and local government operations and proven sales leadership expertise to build a high-performing team while establishing strategic relationships with key states, municipalities, and public sector partners. Working closely with GTM, product, and marketing teams, you'll define and execute our go-to-market strategy for the state and local government sector while maintaining the highest standards of security and compliance. Key responsibilities Build, lead, and scale a state and local government sales team, including hiring top talent, setting clear performance expectations, and providing ongoing coaching and development Develop and execute comprehensive go-to-market strategies for state and local government, including territory design, market segmentation, competitive positioning, and revenue forecasting across a large and geographically distributed customer base Own overall state and local government revenue targets and ensure team performance against quotas, while providing visibility into pipeline health and deal progression Establish and cultivate relationships with governors' offices, state CIOs, agency executives, and city and county leadership, serving as Anthropic's senior point of contact for strategic engagement while empowering your team to own day-to-day customer relationships Win new business across state and local government by helping state agencies, counties, and cities integrate AI into their technology stacks and constituent-facing and back-office workflows to accelerate delivery and improve service outcomes Establish and refine sales processes, methodologies, and playbooks specific to state and local procurement, including cooperative purchasing agreements, statewide contracts, RFP/RFI processes, and state-specific compliance requirements Build and manage strategic relationships with cloud service providers, system integrators, and resellers to create scalable go-to-market motions across the state and local market Synthesize market feedback and customer insights to inform product roadmap and competitive strategy, working closely with product and marketing teams Partner with legal, compliance, and delivery teams to ensure successful contract execution and customer satisfaction Implement metrics, reporting, and performance management systems to drive team accountability and continuous improvement Represent Anthropic at industry events and with key stakeholders, establishing our brand as the trusted AI partner for state and local government Minimum qualifications 15+ years of enterprise sales experience with 5+ years managing state and local government sales teams, with a proven track record of scaling revenue and building high-performing organizations Deep understanding of state and local government missions, budget and legislative cycles, modernization initiatives, and technology adoption patterns across multiple states and municipalities Demonstrated ability to hire, develop, and retain top sales talent while creating a culture of performance and accountability Experience developing and executing go-to-market strategies for emerging technologies in the state and local government space Extensive experience with state and local contracting vehicles, cooperative purchasing agreements, procurement mechanisms, and compliance requirements such as StateRAMP, CJIS, and state-specific data privacy standards Strong track record of consistently exceeding team revenue targets and building predictable, scalable sales motions across a high-volume, distributed territory Proven ability to build and manage strategic channel partnerships and ecosystem relationships, including cloud providers, system integrators, and resellers Excellent communication and relationship-building skills across all levels, from technical teams to state CIOs, agency executives, and elected and appointed officials Experience implementing sales methodologies, CRM systems, and performance management processes A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts and build trust with state and local stakeholders Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $550,000 — $700,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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.
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We’re looking for a creative and driven Commercial Account Executive to help grow our customer base of developer-first startups. This role is perfect for someone who thrives in startup environments, enjoys navigating technical sales cycles, and wants to work closely with founders and builders using open source tools. You’ll manage full-cycle sales, partner cross-functionally to ensure smooth onboarding, and help define what modern sales looks like at Supabase. You Will: Own the full sales cycle from lead to close Run technical discovery and align on business outcomes Partner with Sales Engineers and Product to demo capabilities Educate customers on how Supabase fits into their stack Build pipeline and consistently hit revenue targets We’re Looking For: 2-5 years experience in a similar technical sales role Strong understanding of developer workflows or infrastructure products Ability to run a creative, value-driven sales process Comfortable talking to founders, engineers, and technical buyers Self-starter who thrives in fast-paced, ambiguous environments What We Offer Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. About the Team Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. ~400 team members 60+ countries 20+ languages spoken Over $1B raised (including our $500M Series F) 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
About the Team The Employee Technology & Experience (ETX) team is responsible for delivering a world-class internal technology experience that enables employees to do their best work. We support and operate the employee-facing systems that keep the company moving quickly and efficiently. ETX spans support, logistics, AV, identity, endpoints, SaaS administration, automation, enterprise tooling, and internal infrastructure operations. We partner closely with Security, Engineering, Workplace, Finance, People, and other teams to keep OpenAI’s internal technology reliable, scalable, and moving at the pace of the company. About the Role We are hiring a Program Manager to help scale how IT operates across OpenAI. This role will lead complex cross-functional programs that improve operational maturity, streamline how teams work together, and turn high-impact initiatives into durable operational capabilities. You will work across IT, Security, Engineering, Workplace, and other functions to drive alignment, remove friction, and help build the operational foundation needed to support OpenAI’s rapid growth. You’ll be responsible for: Lead cross-functional operational programs that improve scalability, consistency, and operational maturity. Drive operational excellence initiatives across IT Support, employee lifecycle operations, meeting room and calendaring services, onsite support, vending, and research support environments. Build operating models, readiness plans, escalation paths, governance cadences, and success metrics for complex operational programs. Partner with technical teams to ensure new deployments, infrastructure investments, and internal platforms are operationally ready and sustainably supported at scale. Drive high-priority operational programs supporting company growth, including infrastructure expansion, operational integrations, and other emerging initiatives. Improve operational visibility, stakeholder alignment, and coordination across long-running cross-functional initiatives. Create clarity across complex operational programs by establishing clear ownership, execution plans, operational accountability, and durable follow-through. Own intake, prioritization, coordination, and completion of operational work originating from cross-functional teams and stakeholders. We’re looking for someone with: 10+ years of program management experience leading complex cross-functional initiatives in high-growth, fast-moving environments. Experience building and scaling operational processes, service models, and operating frameworks across technical and operational teams. A strong track record improving internal operations, workplace technology, support environments, or other large-scale service-oriented programs. Excellent judgment and execution skills, with the ability to drive prioritization, alignment, and sustained momentum across multiple teams and competing demands. Strong communication and stakeholder management skills, with the ability to operate effectively with both technical and non-technical partners. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About the Team The Applied AI Engineering team partners closely with customers to help them turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across strategy, solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Digital Natives segment serves technology and software companies that are building AI into the core of their products and businesses. These customers are often highly technical, move quickly, and are among the earliest adopters of OpenAI’s newest capabilities. Our Applied AI Engineers work directly with their engineering, product, and technical leadership teams to identify high-impact opportunities, solve complex technical challenges, and bring ambitious AI applications into production. About the Role We are seeking a Manager, Applied AI Engineering (Digital Natives) to lead the team responsible for the technical success of our most strategic technology and software customers in the Americas. In this role, you will lead a team of Applied AI Engineers who work hands-on with customers to design, build, evaluate, and scale AI applications. You will help determine where deep technical partnership can unlock the greatest customer and business impact, while developing repeatable approaches that allow the team to support a broad and fast-moving customer segment. As a manager, you will set the strategy and operating model for the team, coach and develop engineers, and serve as a senior technical partner to customers and internal stakeholders. You will work closely with Sales, Product, Engineering, and Research to connect what we learn from customers with OpenAI’s product direction and help customers take advantage of our newest capabilities. Success in this role will be measured by meaningful production applications, sustained adoption and usage, strong customer outcomes, and technical patterns and insights that can be applied across the broader Digital Natives segment. 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 Own the strategy and operating model for the Digital Natives Applied AI Engineering team, ensuring alignment with OpenAI’s objectives and the evolving needs of technology and software customers. Lead, hire, mentor, and develop a team of high-performing Applied AI Engineers responsible for delivering meaningful technical and customer outcomes. Guide the team in working hands-on with customers to identify high-impact use cases, design and build AI applications, solve technical challenges, and scale successful solutions into production. Partner closely with Sales to prioritize technical engagement across strategic customers and identify where Applied AI Engineering can unlock adoption, usage, and long-term customer growth. Serve as a senior technical partner and escalation point for priority customers, building trusted relationships with engineering leaders, CTOs, and other executive stakeholders. Represent the technical voice of Digital Native customers by synthesizing insights around model performance, developer experience, product gaps, emerging use cases, and technical blockers for Product, Engineering, and Research. Translate recurring customer needs and successful implementations into repeatable technical patterns, reference architectures, playbooks, tooling, and best practices that allow the team to scale its impact. Coach Applied AI Engineers on technical quality, customer judgment, prioritization, executive communication, and cross-functional partnership. Help customers understand and apply OpenAI’s newest capabilities, identifying opportunities to build differentiated products and experiences with frontier models. Champion the safe, reliable, and effective application of OpenAI’s technology across the Digital Natives ecosystem. 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, with a demonstrated ability to hire, develop, mentor, and manage high-performing engineers. Have experience building or deploying generative AI, machine learning, developer platforms, or cloud-based software solutions in production environments. Bring strong technical depth across APIs, AI/ML systems, application architecture, cloud infrastructure, and modern developer workflows. Have hands-on software engineering experience and fluency with programming languages such as Python or JavaScript. Are comfortable working directly with highly technical engineering and product teams as well as CTOs and other executive stakeholders. Can translate ambiguous customer and business problems into clear technical approaches and guide teams from exploration through implementation and production. Demonstrate strong judgment about when to invest deeply in an individual customer challenge versus when to develop a repeatable solution for the broader segment. Are an effective communicator who can translate complex technical and business topics across audiences and coach others to do the same. Thrive in ambiguous, fast-moving environments and are energized by working with customers at the forefront of AI adoption. Demonstrate strong ownership, humility, curiosity, 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.
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.
Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: The Web Infrastructure team builds the foundations behind Notion’s web clients, including client architecture, performance, reliability, and shared design systems. As Engineering Manager, you’ll lead the team through the evolution from Notion Clients. You’ll set strategy, develop senior engineers and managers, and partner across Notion to make the product faster, more reliable, and easier to build. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve: You'll build and manage a diverse and inclusive team of engineers and managers working on core parts of Notion's architecture. You'll create a healthy environment in your team that embodies Notion's values. You'll recruit, coach, and develop engineers. You'll ensure engineers are regularly receiving feedback and making progress on personal and professional goals. You'll facilitate planning—the prioritization, sequencing, and staffing of work—for your team. You'll be responsible for maintaining a high-quality bar for everything your team ships. You'll own execution in your team to develop a steady cadence of delivering value to your users. You'll work with others to shape how Notion's engineering organization works. You'll help develop our technical practices, recruiting and onboarding strategy, planning and prioritization process, and more. Skills You'll Need to Bring: You have managed senior engineering teams and managers, and have experience in scaling teams. You have built, or are committed to building, diverse and inclusive teams. You create team environments that are at once collaborative, empowering, supportive, and challenging—ones where engineers do their best work. You have a sufficiently deep background in product and technology that you can ask the right questions of your team, balance product, tech, and people concerns, and make hard tradeoffs. You think rigorously. You're prepared to tackle the toughest technical problems, understand trade-offs, and enable teams to make decisions and progress. You have a high tolerance for ambiguity and change, especially around organizational structure and the boundaries of your role. You enjoy jumping into whatever areas need attention and learning as-you-go. You value empathetic and direct communication, particularly when giving and receiving feedback. Nice to Haves: You have managed engineering teams at startups before, particularly during periods of rapid growth and organizational change. You have experience rolling out engineering and management practices and processes—e.g., code review, performance reviews, and levels and ladders—where they didn't exist before. You've managed teams that are across multiple offices. You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $255,000 - $300,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy . #LI-Onsite A Note on AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. Equal Opportunity & Accommodations We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
About the Role As a member of the Data team within the Go-to-Market organization, you will help build a data-driven culture, improve decision-making, and advance strategic initiatives through analytics. This is a full-stack data role spanning data modeling, metric definition, visualization, analysis, and self-service tooling. You will build trusted, scalable data sources and products that give the business reliable, actionable insights. The work calls for judgment: you will choose the tool, approach, and level of investment that best fit each problem, from a focused analysis to a durable production data product. As a core partner to the GTM organization, you will address both foundational and ad hoc analytics needs. You will turn complex data into clear narratives that help technical and non-technical audiences understand what is happening, why it matters, and what they should do next. In This Role, You Will Partner closely with GTM teams to proactively identify high-impact questions and translate business needs into data models, metrics, analyses, and scalable technical solutions. Define, source, validate, and operationalize the metrics that guide the business, helping teams incorporate them into planning and day-to-day decisions. Lead cross-functional data projects across established and emerging business areas, including setting the data strategy for greenfield domains. Build scalable data models and pipelines that integrate and transform data from multiple sources into trusted, accessible datasets. Create dashboards, reports, analytical tools, and other data products that enable stakeholders to answer questions independently. Own the lifecycle of metrics, analytical models, and data products from initial exploration and prototyping through production and ongoing maintenance. Choose the most effective approach for each problem—whether an analysis, metric, data model, visualization, or self-service product—based on the audience, urgency, complexity, and expected value. Exercise strong judgment when prioritizing competing requests, balancing immediate business needs with investments that improve the long-term quality and scalability of the data ecosystem. Use AI-assisted development tools to increase productivity while maintaining clear, tested, and maintainable code, data models, and documentation. Turn complex findings into clear, persuasive narratives through presentations, written memos, dashboards, and other formats suited to the audience. You Might Thrive in This Role If You Have 10+ years of experience in a relevant data role within fast-moving, results-oriented organizations. Can independently structure and own ambiguous, high-impact business problems from initial framing through recommendation and execution. Are highly autonomous, resourceful, and creative when navigating technical, operational, and stakeholder constraints. Exercise strong judgment when deciding what to prioritize, how deeply to invest, and when a quick answer should become a durable data product. Have deep SQL expertise and extensive experience working with large datasets and designing ETL workflows. Understand effective software and analytics engineering practices and can use AI tools to move faster without creating brittle systems, unclear code, or unnecessary complexity. Are proficient in a quantitative programming language, preferably Python. Have experience with BI tools such as Tableau or Looker and know how to enable effective self-service analytics. Have worked with custom visualization frameworks such as React, Streamlit, or Plotly Dash. Can turn complex analysis into persuasive stories using memos, presentations, dashboards, and other formats. Bring exceptional attention to detail and a strong commitment to accuracy. Have delivered significant business impact, ideally within Sales, Finance, Support, or another GTM function. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About the Team Critical Harm Operations sits within User Safety & Risk Operations and builds enforcement systems for Frontier Risk and Material Harm that are accurate, fast, defensible, and built to scale. The Cyber vertical turns policy into reviewer standards, calibrated judgment, quality systems, escalation paths, and automation guardrails. About the Role We are looking for a senior cybersecurity practitioner and operations strategist to raise the quality, scalability, and technical rigor of our Cyber Operations. You will combine hands-on cyber judgment with systems-level operating design: resolve the hardest dual-use questions, evolve SOPs, uplift reviewers and vendors, and build practical tools and automations. This is a senior IC role. Success is not primarily cases closed; it is durable improvement in the operating model and the reviewers who run it. This Toronto-based role is currently remote and is expected to transition to an in-office arrangement. In this role, you will: Drive the Cyber Operations operating model across domain priorities, SOPs, escalation paths, quality health, vendor capability, roadmap inputs and help inform trusted access strategies. Serve as the senior cyber expert for complex or high-risk decisions across ChatGPT, API, Codex, agents, and emerging product surfaces. Translate policy ambiguity, quality misses, appeals, and reviewer disagreement into clear decision rules, calibration examples, training, and tooling requirements. Build durable operating systems and quality loops: golden sets, holdouts, double-labeling, adjudication, error taxonomies, reviewer calibration, and automation evaluations. Raise FTE and BPO capability through onboarding, certification, coaching, recurring calibration, and vendor-performance partnership. Use quality, appeals, SLA, backlog, and disagreement signals to diagnose root causes and prioritize high-leverage fixes. Build hands-on solutions—SQL analyses, scripts, dashboards, LLM eval workflows, evidence enrichment, routing logic, and lightweight automations—that improve decision quality and reduce manual effort. Partner with Policy, Integrity, Safety Systems, Security, Legal, Product, Engineering, and Investigations to operationalize changes and drive launch readiness. You might thrive in this role if you have: Have 8+ years of hands-on cybersecurity experience in offensive security, threat intelligence, incident response, security research, red teaming, application security, DFIR, malware analysis, or a related field. Can reason deeply about attacker tradecraft, vulnerability exploitation, credential abuse, malware, persistence, evasion, exfiltration, cloud or identity abuse, and ambiguous dual-use activity. Have built or improved high-stakes operations, reviewer programs, QA systems, escalation workflows, or vendor/BPO programs. Can turn complex cyber and policy judgment into reviewer-usable SOPs, decision trees, training, and concise written recommendations. Are comfortable using SQL, Python, Python, C/C++, JavaScript, PowerShell, and Bash, APIs, LLM tooling, or automation to solve operational problems. Understand human-in-the-loop automation, evaluations, monitoring, holdouts, and fallback paths for sensitive workflows. Operate independently in ambiguity, communicate clearly across technical and non-technical audiences, and bring sound judgment and discretion when handling sensitive material. Experience with trust and safety, platform abuse, cyber misuse of AI systems, or LLM safety. Nice to have: Experience with golden sets, classifier or prompt evaluations, and reviewer-quality programs. Experience enabling global vendor reviewer operations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an Enterprise Integrated Campaign Manager to design, orchestrate, scale, and measure integrated marketing campaigns that support our Enterprise business priorities and drive demand, adoption, and expansion across our most strategic customer segments. As a key member of our marketing organization, you'll build the campaign frameworks and cross-channel motions that connect our content, physical events, digital programs, and account-based efforts into cohesive journeys that move enterprise buyers from awareness to activation. This role requires a sophisticated understanding of B2B marketing with demonstrated success in integrated campaign strategy and execution across the full customer lifecycle. You'll develop and execute comprehensive campaign strategies in partnership with Sales, Field Marketing, Product Marketing, Partner Marketing, and Digital teams, creating compelling programs and flywheel motions that empower the Enterprise Sales team to achieve their pipeline and revenue targets. Enterprise represents one of our largest growth opportunities and our most nuanced challenge, a segment where long sales cycles, complex buying committees, and industry-specific requirements demand campaigns that are deeply orchestrated rather than one-size-fits-all. You'll work closely with Product and Field Marketing, the broader Integrated Campaigns team, and cross-functional partners to ensure campaigns directly support demand generation, customer adoption, and strategic account expansion. Key responsibilities Design and lead integrated campaigns across customer segments, establishing scalable frameworks and processes that connect digital, events, content, and ABM channels into cohesive buyer journeys Drive full-funnel campaign initiatives across core Enterprise priorities, industries, and segments, adapting strategies for diverse buying committees and enterprise purchasing behaviors Create and implement campaign programs including thought leadership moments, digital nurture streams, webinar series, executive engagement programs, and ABM activations Partner closely with Field Marketing to align campaign programs with territory and account-specific goals that directly achieve pipeline, adoption, and expansion targets Optimizing programs to measurement frameworks including lead scoring, attribution models, and ROI reporting to demonstrate campaign impact on demand, adoption, and revenue Collaborate with global Marketing teams to ensure Enterprise campaigns align with company-wide strategy while meeting segment- and industry-specific needs Coordinate with Product Marketing and Solutions Marketing to ensure consistent messaging and positioning across all campaign touchpoints Manage campaign resources including agency partners, vendors, and internal creative and content teams to deliver programs on time and on budget Build and manage campaign budgets with strong financial discipline and ROI focus Drive continuous improvement through post-campaign analysis, stakeholder feedback, and data-driven optimization Minimum qualifications Demonstrate deep understanding of B2B enterprise sales cycles and buying processes - experience working within software companies is required for this position Have a track record of successfully building and scaling integrated campaign programs that span digital, events, content, and ABM channels Have strong analytical skills and a data-driven approach to campaign optimization and attribution Have demonstrated success in contributing to significant demand, adoption, and revenue goals through integrated marketing initiatives Are a proven self-starter who can build and run sophisticated programs with small teams in fast-paced startup environments Have strong project management skills with experience managing complex, multi-channel campaigns simultaneously Possess strong budgeting and financial management capabilities with experience managing substantial campaign budgets Excel at cross-functional collaboration, particularly with sales teams, agency partners, and executive stakeholders Are comfortable with ambiguity and thrive in fast-paced, evolving environments with a bias for thoughtful action Preferred qualifications Have 10+ years of B2B enterprise marketing experience with blended expertise in integrated campaigns, account-based marketing, and demand generation Have experience marketing AI/ML or complex technical products to enterprise customers Have experience building and leading integrated campaign or demand generation teams Have deep knowledge of account-based marketing (ABM) strategies and execution, including platforms such as 6sense or Demandbase Have experience at high-growth technology companies such as Stripe, AWS, Okta, Snowflake, or Workday Have experience developing industry- or segment-specific campaign motions for regulated or vertical markets Have experience managing and directing agency partners to extend internal team capacity Have marketing automation and campaign operations fluency (e.g., Marketo, Salesforce) with an understanding of lead lifecycle management Have international campaign experience and an understanding of how to localize enterprise programs across regions Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco, Seattle, or New York office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 — $255,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Applied AI (AAI) is responsible for helping Anthropic's customers go from first contact with Claude to durable, expanding usage — and this team is the strategic and analytical backbone behind that motion. As the Strategy & Operations Business Partner for AAI AMER, you'll work side-by-side with regional field engineering leadership as a deep expert in the business: the metrics, the segments, the deals, and the trends that matter most to driving growth. This is a high-autonomy, high-trust role. You'll partner directly with senior commercial leaders, build frameworks and operating rhythms, and translate ambiguous strategic questions into clear, actionable recommendations — then help carry those recommendations through to execution. You'll be one of the first people in this function, so you should be energized by building processes and structure from the ground up rather than inheriting them. Key Responsibilities Partner with AAI AMER leadership to build and evolve foundational metrics dashboards, and establish the operating rhythm for ongoing business reviews Lead the monthly business review process for your assigned segment(s) — from metric gathering through analysis and synthesis for leadership Partner with central Revenue Operations to define and standardize key metrics across segments as the business grows in complexity Develop a use case framework grounded in real signal — current CRM data, joining sales calls and pitch clinics, reviewing key customers, and working directly with the AAI team Build comprehensive segment analyses and strategy recommendations, identifying quick wins and prioritization frameworks, and help kick off the strategic initiatives that follow from approved recommendations Build strong relationships with regional leaders and act as a trusted, embedded thought partner Support GTM QBRs and related cross-functional workstreams as needed Design and implement improved processes for tracking and reporting on team priorities and strategic initiatives, and represent that work to stakeholders across the company Minimum Qualifications Background in sales strategy, revenue operations, or management consulting, including direct experience in a commercial role (this is broad — presales, customer-facing, partnerships, and founder experience can all qualify) Strong analytical capabilities with a track record of converting data into actionable, well-supported recommendations Experience with GTM systems and business intelligence tools Proven ability to build trust and influence senior stakeholders without direct authority Experience designing and managing strategic planning processes and business reviews Bachelor's degree in business, economics, or a related quantitative field, or equivalent practical experience Preferred Qualifications 10+ years of experience in sales strategy, revenue operations, or management consulting Experience in high-growth technology companies in GTM or sales-adjacent roles, particularly supporting a consumption-based or usage-driven business model Experience at AI/ML companies or in enterprise software sales Experience building frameworks for sales use cases or value propositions Background supporting sales organizations through 2-3x+ growth periods Candidates without direct commercial ownership experience will still be considered if they have long, deep tenure supporting commercial leaders in a closely comparable GTM model The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.