Location: Poland
The Opportunity
Flosum is looking for a visionary Senior Product Manager who lives and breathes the Salesforce ecosystem and wants to shape the future of how the world's largest enterprises build, secure, and scale on Salesforce.
This is not a maintenance role. You will own the product roadmap for the only 100% Salesforce-native DevSecOps, Data Protection, and Security platform trusted by Fortune 100 companies, global brands like Hilton, Cargill, Barry Callebaut, Cushman & Wakefield, and AARP. You will work directly with the CEO and engineering leadership to define and ship products that create entirely new categories within the Salesforce ecosystem.
We are at an inflection point. AI-driven DevOps (powered by Agentforce), agent-aware governance, zero-trust security orchestration, and intelligent data lifecycle management are transforming the Salesforce landscape. We need a product leader who sees around corners, understands where this space is heading, and has the conviction and execution chops to get us there first.
About Flosum
Flosum is the only enterprise-grade DevOps, Data Backup & Archive, Trust Center, and Data Seeding platform built 100% native on the Salesforce platform. As a Salesforce Summit Partner and the only native solution certified by Salesforce, we operate within the Salesforce trust boundary, which means zero data exposure, no third-party cloud processing, and full compliance with Salesforce security standards.
Our customers are among the most demanding in the world: Fortune 500 enterprises in regulated industries (financial services, healthcare, government, life sciences) who require SOX compliance, zero-trust architecture, and audit-grade governance. We compete against Copado, Gearset, AutoRABIT, and Salto, and we win because our native architecture delivers security, speed, and extensibility that external tools simply cannot match.
We recently integrated Salesforce Agentforce into our platform, making Flosum the first and only Salesforce-native AI DevOps solution. This is just the beginning of what we plan to build.
What You Will Own
Product Vision & Strategy
Define and drive the multi-year product roadmap across Flosum's five product lines: DevOps, Backup & Archive, Trust Center, Data Seeding, and DevOps for Veeva.
Identify whitespace opportunities in the Salesforce ecosystem where Flosum can create new categories or capture market share from competitors.
Translate deep Salesforce platform knowledge (metadata architecture, deployment models, Agentforce, Data Cloud, multi-org environments) into product capabilities that enterprise customers will pay premium prices for.
Stay ahead of Salesforce's own product direction (three releases per year) and position Flosum to capitalize on every platform shift.
AI & Innovation
Lead the next wave of AI-powered DevOps capabilities built on Agentforce, including intelligent deployment agents, AI-driven code review, automated security scanning, and predictive release management.
Define how Flosum's extensibility platform enables customers to build custom AI-driven workflows within Salesforce's trust boundary.
Pioneer agent-aware governance: preparing Salesforce governance frameworks for autonomous systems and AI agents.
Customer & Market Insight
Engage directly with Fortune 500 customers and prospects to deeply understand their pain points around Salesforce development, security, compliance, and data management.
Translate complex enterprise requirements (SOX, zero-trust, multi-org, regulated industries) into elegant product solutions.
Partner with Sales and Customer Success to influence deal strategy, conduct product demos for strategic accounts, and close competitive evaluations.
Execution & Delivery
Write detailed product requirements, user stories, and acceptance criteria. You do the work, not just delegate it.
Partner with engineering to deliver on aggressive timelines. Own sprint planning, backlog prioritization, and release coordination.
Define and track product KPIs: adoption, activation, expansion, NPS, competitive win rates.
Requirements
Who You Are
We are looking for a missionary, not a mercenary. Someone who takes genuine ownership of outcomes, thinks independently, and is driven by a need to build something that matters, not just advance their career.
7+ years of product management experience in B2B SaaS, with at least 3 years focused on the Salesforce ecosystem or Salesforce-adjacent platforms.
Deep technical understanding of the Salesforce platform: metadata-driven architecture, deployment pipelines, sandboxes, packaging, security models, Apex, Lightning, and the ISV partner ecosystem.
Proven track record of shipping products that enterprise customers (Fortune 500, regulated industries) adopted and paid for. Not features; products.
Experience with DevOps, CI/CD, release management, or security/compliance tooling is strongly preferred.
You understand the competitive landscape: Copado, Gearset, AutoRABIT, Salto, and native Salesforce DX. You know where each is strong and where they are vulnerable.
Strong perspective on how AI/ML (especially Salesforce Agentforce, Einstein, Data Cloud) will reshape the Salesforce development and governance landscape.
Hands-on executor. You write PRDs, you talk to customers, you review wireframes, you sit in sprint reviews. You do not manage from a distance.
Exceptional communication skills. You can present a product vision to a C-suite audience and write a technical specification for an engineering team in the same day.
Intellectual curiosity and a bias toward action. When you see a problem, you solve it. When you don't know something, you go learn it.
What Will Make You Exceptional in This Role
You have experience building products in the Salesforce AppExchange ecosystem, ideally as an ISV or within a Salesforce-native product company.
You have worked at the intersection of DevOps and security/compliance in regulated industries.
You have led product-led growth initiatives within an enterprise product, designing self-serve onboarding, in-product conversion, and expansion mechanics.
You have a point of view on the future of AI in Salesforce DevOps and can articulate a 3-year vision for how autonomous agents will change how enterprises build on Salesforce.
You have experience going head-to-head against well-funded competitors and winning through product superiority rather than just marketing spend.
What We Expect in the First 12 Months
First 90 Days: Learn and Diagnose
Achieve deep fluency in Flosum's five product lines and their technical architecture.
Conduct 25+ customer and prospect interviews to build a firsthand understanding of enterprise pain points.
Complete a competitive audit with specific, actionable recommendations on where Flosum should invest to win.
Deliver your first product roadmap refresh with clear prioritization rationale.
Months 3-6: Ship and Win
Own and deliver at least one major product release that directly addresses a competitive gap or customer-requested capability.
Establish a product-led feedback loop between Sales, CS, and Engineering that accelerates deal velocity and reduces churn.
Define the next generation of Flosum's AI capabilities and present a detailed execution plan.
Months 6-12: Scale and Lead
Drive measurable improvement in competitive win rates against Copado and Gearset.
Launch at least one net-new product capability that opens a new revenue stream or market segment.
Establish Flosum as a thought leader in AI-driven Salesforce DevOps through content, speaking, and ecosystem engagement.
Benefits
Why Flosum
Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational.
Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem.
Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate.
AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next.
Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it.
Compensation & Benefits
Competitive base salary + performance bonus
Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagement
Location: Netherlands
The Opportunity
Flosum is looking for a visionary Senior Product Manager who lives and breathes the Salesforce ecosystem and wants to shape the future of how the world's largest enterprises build, secure, and scale on Salesforce.
This is not a maintenance role. You will own the product roadmap for the only 100% Salesforce-native DevSecOps, Data Protection, and Security platform trusted by Fortune 100 companies, global brands like Hilton, Cargill, Barry Callebaut, Cushman & Wakefield, and AARP. You will work directly with the CEO and engineering leadership to define and ship products that create entirely new categories within the Salesforce ecosystem.
We are at an inflection point. AI-driven DevOps (powered by Agentforce), agent-aware governance, zero-trust security orchestration, and intelligent data lifecycle management are transforming the Salesforce landscape. We need a product leader who sees around corners, understands where this space is heading, and has the conviction and execution chops to get us there first.
About Flosum
Flosum is the only enterprise-grade DevOps, Data Backup & Archive, Trust Center, and Data Seeding platform built 100% native on the Salesforce platform. As a Salesforce Summit Partner and the only native solution certified by Salesforce, we operate within the Salesforce trust boundary, which means zero data exposure, no third-party cloud processing, and full compliance with Salesforce security standards.
Our customers are among the most demanding in the world: Fortune 500 enterprises in regulated industries (financial services, healthcare, government, life sciences) who require SOX compliance, zero-trust architecture, and audit-grade governance. We compete against Copado, Gearset, AutoRABIT, and Salto, and we win because our native architecture delivers security, speed, and extensibility that external tools simply cannot match.
We recently integrated Salesforce Agentforce into our platform, making Flosum the first and only Salesforce-native AI DevOps solution. This is just the beginning of what we plan to build.
What You Will Own
Product Vision & Strategy
Define and drive the multi-year product roadmap across Flosum's five product lines: DevOps, Backup & Archive, Trust Center, Data Seeding, and DevOps for Veeva.
Identify whitespace opportunities in the Salesforce ecosystem where Flosum can create new categories or capture market share from competitors.
Translate deep Salesforce platform knowledge (metadata architecture, deployment models, Agentforce, Data Cloud, multi-org environments) into product capabilities that enterprise customers will pay premium prices for.
Stay ahead of Salesforce's own product direction (three releases per year) and position Flosum to capitalize on every platform shift.
AI & Innovation
Lead the next wave of AI-powered DevOps capabilities built on Agentforce, including intelligent deployment agents, AI-driven code review, automated security scanning, and predictive release management.
Define how Flosum's extensibility platform enables customers to build custom AI-driven workflows within Salesforce's trust boundary.
Pioneer agent-aware governance: preparing Salesforce governance frameworks for autonomous systems and AI agents.
Customer & Market Insight
Engage directly with Fortune 500 customers and prospects to deeply understand their pain points around Salesforce development, security, compliance, and data management.
Translate complex enterprise requirements (SOX, zero-trust, multi-org, regulated industries) into elegant product solutions.
Partner with Sales and Customer Success to influence deal strategy, conduct product demos for strategic accounts, and close competitive evaluations.
Execution & Delivery
Write detailed product requirements, user stories, and acceptance criteria. You do the work, not just delegate it.
Partner with engineering to deliver on aggressive timelines. Own sprint planning, backlog prioritization, and release coordination.
Define and track product KPIs: adoption, activation, expansion, NPS, competitive win rates.
Requirements
Who You Are
We are looking for a missionary, not a mercenary. Someone who takes genuine ownership of outcomes, thinks independently, and is driven by a need to build something that matters, not just advance their career.
7+ years of product management experience in B2B SaaS, with at least 3 years focused on the Salesforce ecosystem or Salesforce-adjacent platforms.
Deep technical understanding of the Salesforce platform: metadata-driven architecture, deployment pipelines, sandboxes, packaging, security models, Apex, Lightning, and the ISV partner ecosystem.
Proven track record of shipping products that enterprise customers (Fortune 500, regulated industries) adopted and paid for. Not features; products.
Experience with DevOps, CI/CD, release management, or security/compliance tooling is strongly preferred.
You understand the competitive landscape: Copado, Gearset, AutoRABIT, Salto, and native Salesforce DX. You know where each is strong and where they are vulnerable.
Strong perspective on how AI/ML (especially Salesforce Agentforce, Einstein, Data Cloud) will reshape the Salesforce development and governance landscape.
Hands-on executor. You write PRDs, you talk to customers, you review wireframes, you sit in sprint reviews. You do not manage from a distance.
Exceptional communication skills. You can present a product vision to a C-suite audience and write a technical specification for an engineering team in the same day.
Intellectual curiosity and a bias toward action. When you see a problem, you solve it. When you don't know something, you go learn it.
What Will Make You Exceptional in This Role
You have experience building products in the Salesforce AppExchange ecosystem, ideally as an ISV or within a Salesforce-native product company.
You have worked at the intersection of DevOps and security/compliance in regulated industries.
You have led product-led growth initiatives within an enterprise product, designing self-serve onboarding, in-product conversion, and expansion mechanics.
You have a point of view on the future of AI in Salesforce DevOps and can articulate a 3-year vision for how autonomous agents will change how enterprises build on Salesforce.
You have experience going head-to-head against well-funded competitors and winning through product superiority rather than just marketing spend.
What We Expect in the First 12 Months
First 90 Days: Learn and Diagnose
Achieve deep fluency in Flosum's five product lines and their technical architecture.
Conduct 25+ customer and prospect interviews to build a firsthand understanding of enterprise pain points.
Complete a competitive audit with specific, actionable recommendations on where Flosum should invest to win.
Deliver your first product roadmap refresh with clear prioritization rationale.
Months 3-6: Ship and Win
Own and deliver at least one major product release that directly addresses a competitive gap or customer-requested capability.
Establish a product-led feedback loop between Sales, CS, and Engineering that accelerates deal velocity and reduces churn.
Define the next generation of Flosum's AI capabilities and present a detailed execution plan.
Months 6-12: Scale and Lead
Drive measurable improvement in competitive win rates against Copado and Gearset.
Launch at least one net-new product capability that opens a new revenue stream or market segment.
Establish Flosum as a thought leader in AI-driven Salesforce DevOps through content, speaking, and ecosystem engagement.
Benefits
Why Flosum
Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational.
Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem.
Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate.
AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next.
Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it.
Compensation & Benefits
Competitive base salary + performance bonus
Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagement
Location: Belgium
The Opportunity
Flosum is looking for a visionary Senior Product Manager who lives and breathes the Salesforce ecosystem and wants to shape the future of how the world's largest enterprises build, secure, and scale on Salesforce.
This is not a maintenance role. You will own the product roadmap for the only 100% Salesforce-native DevSecOps, Data Protection, and Security platform trusted by Fortune 100 companies, global brands like Hilton, Cargill, Barry Callebaut, Cushman & Wakefield, and AARP. You will work directly with the CEO and engineering leadership to define and ship products that create entirely new categories within the Salesforce ecosystem.
We are at an inflection point. AI-driven DevOps (powered by Agentforce), agent-aware governance, zero-trust security orchestration, and intelligent data lifecycle management are transforming the Salesforce landscape. We need a product leader who sees around corners, understands where this space is heading, and has the conviction and execution chops to get us there first.
About Flosum
Flosum is the only enterprise-grade DevOps, Data Backup & Archive, Trust Center, and Data Seeding platform built 100% native on the Salesforce platform. As a Salesforce Summit Partner and the only native solution certified by Salesforce, we operate within the Salesforce trust boundary, which means zero data exposure, no third-party cloud processing, and full compliance with Salesforce security standards.
Our customers are among the most demanding in the world: Fortune 500 enterprises in regulated industries (financial services, healthcare, government, life sciences) who require SOX compliance, zero-trust architecture, and audit-grade governance. We compete against Copado, Gearset, AutoRABIT, and Salto, and we win because our native architecture delivers security, speed, and extensibility that external tools simply cannot match.
We recently integrated Salesforce Agentforce into our platform, making Flosum the first and only Salesforce-native AI DevOps solution. This is just the beginning of what we plan to build.
What You Will Own
Product Vision & Strategy
Define and drive the multi-year product roadmap across Flosum's five product lines: DevOps, Backup & Archive, Trust Center, Data Seeding, and DevOps for Veeva.
Identify whitespace opportunities in the Salesforce ecosystem where Flosum can create new categories or capture market share from competitors.
Translate deep Salesforce platform knowledge (metadata architecture, deployment models, Agentforce, Data Cloud, multi-org environments) into product capabilities that enterprise customers will pay premium prices for.
Stay ahead of Salesforce's own product direction (three releases per year) and position Flosum to capitalize on every platform shift.
AI & Innovation
Lead the next wave of AI-powered DevOps capabilities built on Agentforce, including intelligent deployment agents, AI-driven code review, automated security scanning, and predictive release management.
Define how Flosum's extensibility platform enables customers to build custom AI-driven workflows within Salesforce's trust boundary.
Pioneer agent-aware governance: preparing Salesforce governance frameworks for autonomous systems and AI agents.
Customer & Market Insight
Engage directly with Fortune 500 customers and prospects to deeply understand their pain points around Salesforce development, security, compliance, and data management.
Translate complex enterprise requirements (SOX, zero-trust, multi-org, regulated industries) into elegant product solutions.
Partner with Sales and Customer Success to influence deal strategy, conduct product demos for strategic accounts, and close competitive evaluations.
Execution & Delivery
Write detailed product requirements, user stories, and acceptance criteria. You do the work, not just delegate it.
Partner with engineering to deliver on aggressive timelines. Own sprint planning, backlog prioritization, and release coordination.
Define and track product KPIs: adoption, activation, expansion, NPS, competitive win rates.
Requirements
Who You Are
We are looking for a missionary, not a mercenary. Someone who takes genuine ownership of outcomes, thinks independently, and is driven by a need to build something that matters, not just advance their career.
7+ years of product management experience in B2B SaaS, with at least 3 years focused on the Salesforce ecosystem or Salesforce-adjacent platforms.
Deep technical understanding of the Salesforce platform: metadata-driven architecture, deployment pipelines, sandboxes, packaging, security models, Apex, Lightning, and the ISV partner ecosystem.
Proven track record of shipping products that enterprise customers (Fortune 500, regulated industries) adopted and paid for. Not features; products.
Experience with DevOps, CI/CD, release management, or security/compliance tooling is strongly preferred.
You understand the competitive landscape: Copado, Gearset, AutoRABIT, Salto, and native Salesforce DX. You know where each is strong and where they are vulnerable.
Strong perspective on how AI/ML (especially Salesforce Agentforce, Einstein, Data Cloud) will reshape the Salesforce development and governance landscape.
Hands-on executor. You write PRDs, you talk to customers, you review wireframes, you sit in sprint reviews. You do not manage from a distance.
Exceptional communication skills. You can present a product vision to a C-suite audience and write a technical specification for an engineering team in the same day.
Intellectual curiosity and a bias toward action. When you see a problem, you solve it. When you don't know something, you go learn it.
What Will Make You Exceptional in This Role
You have experience building products in the Salesforce AppExchange ecosystem, ideally as an ISV or within a Salesforce-native product company.
You have worked at the intersection of DevOps and security/compliance in regulated industries.
You have led product-led growth initiatives within an enterprise product, designing self-serve onboarding, in-product conversion, and expansion mechanics.
You have a point of view on the future of AI in Salesforce DevOps and can articulate a 3-year vision for how autonomous agents will change how enterprises build on Salesforce.
You have experience going head-to-head against well-funded competitors and winning through product superiority rather than just marketing spend.
What We Expect in the First 12 Months
First 90 Days: Learn and Diagnose
Achieve deep fluency in Flosum's five product lines and their technical architecture.
Conduct 25+ customer and prospect interviews to build a firsthand understanding of enterprise pain points.
Complete a competitive audit with specific, actionable recommendations on where Flosum should invest to win.
Deliver your first product roadmap refresh with clear prioritization rationale.
Months 3-6: Ship and Win
Own and deliver at least one major product release that directly addresses a competitive gap or customer-requested capability.
Establish a product-led feedback loop between Sales, CS, and Engineering that accelerates deal velocity and reduces churn.
Define the next generation of Flosum's AI capabilities and present a detailed execution plan.
Months 6-12: Scale and Lead
Drive measurable improvement in competitive win rates against Copado and Gearset.
Launch at least one net-new product capability that opens a new revenue stream or market segment.
Establish Flosum as a thought leader in AI-driven Salesforce DevOps through content, speaking, and ecosystem engagement.
Benefits
Why Flosum
Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational.
Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem.
Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate.
AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next.
Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it.
Compensation & Benefits
Competitive base salary + performance bonus
Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagement
Location: Belarus
The Opportunity
Flosum is looking for a visionary Senior Product Manager who lives and breathes the Salesforce ecosystem and wants to shape the future of how the world's largest enterprises build, secure, and scale on Salesforce.
This is not a maintenance role. You will own the product roadmap for the only 100% Salesforce-native DevSecOps, Data Protection, and Security platform trusted by Fortune 100 companies, global brands like Hilton, Cargill, Barry Callebaut, Cushman & Wakefield, and AARP. You will work directly with the CEO and engineering leadership to define and ship products that create entirely new categories within the Salesforce ecosystem.
We are at an inflection point. AI-driven DevOps (powered by Agentforce), agent-aware governance, zero-trust security orchestration, and intelligent data lifecycle management are transforming the Salesforce landscape. We need a product leader who sees around corners, understands where this space is heading, and has the conviction and execution chops to get us there first.
About Flosum
Flosum is the only enterprise-grade DevOps, Data Backup & Archive, Trust Center, and Data Seeding platform built 100% native on the Salesforce platform. As a Salesforce Summit Partner and the only native solution certified by Salesforce, we operate within the Salesforce trust boundary, which means zero data exposure, no third-party cloud processing, and full compliance with Salesforce security standards.
Our customers are among the most demanding in the world: Fortune 500 enterprises in regulated industries (financial services, healthcare, government, life sciences) who require SOX compliance, zero-trust architecture, and audit-grade governance. We compete against Copado, Gearset, AutoRABIT, and Salto, and we win because our native architecture delivers security, speed, and extensibility that external tools simply cannot match.
We recently integrated Salesforce Agentforce into our platform, making Flosum the first and only Salesforce-native AI DevOps solution. This is just the beginning of what we plan to build.
What You Will Own
Product Vision & Strategy
Define and drive the multi-year product roadmap across Flosum's five product lines: DevOps, Backup & Archive, Trust Center, Data Seeding, and DevOps for Veeva.
Identify whitespace opportunities in the Salesforce ecosystem where Flosum can create new categories or capture market share from competitors.
Translate deep Salesforce platform knowledge (metadata architecture, deployment models, Agentforce, Data Cloud, multi-org environments) into product capabilities that enterprise customers will pay premium prices for.
Stay ahead of Salesforce's own product direction (three releases per year) and position Flosum to capitalize on every platform shift.
AI & Innovation
Lead the next wave of AI-powered DevOps capabilities built on Agentforce, including intelligent deployment agents, AI-driven code review, automated security scanning, and predictive release management.
Define how Flosum's extensibility platform enables customers to build custom AI-driven workflows within Salesforce's trust boundary.
Pioneer agent-aware governance: preparing Salesforce governance frameworks for autonomous systems and AI agents.
Customer & Market Insight
Engage directly with Fortune 500 customers and prospects to deeply understand their pain points around Salesforce development, security, compliance, and data management.
Translate complex enterprise requirements (SOX, zero-trust, multi-org, regulated industries) into elegant product solutions.
Partner with Sales and Customer Success to influence deal strategy, conduct product demos for strategic accounts, and close competitive evaluations.
Execution & Delivery
Write detailed product requirements, user stories, and acceptance criteria. You do the work, not just delegate it.
Partner with engineering to deliver on aggressive timelines. Own sprint planning, backlog prioritization, and release coordination.
Define and track product KPIs: adoption, activation, expansion, NPS, competitive win rates.
Requirements
Who You Are
We are looking for a missionary, not a mercenary. Someone who takes genuine ownership of outcomes, thinks independently, and is driven by a need to build something that matters, not just advance their career.
7+ years of product management experience in B2B SaaS, with at least 3 years focused on the Salesforce ecosystem or Salesforce-adjacent platforms.
Deep technical understanding of the Salesforce platform: metadata-driven architecture, deployment pipelines, sandboxes, packaging, security models, Apex, Lightning, and the ISV partner ecosystem.
Proven track record of shipping products that enterprise customers (Fortune 500, regulated industries) adopted and paid for. Not features; products.
Experience with DevOps, CI/CD, release management, or security/compliance tooling is strongly preferred.
You understand the competitive landscape: Copado, Gearset, AutoRABIT, Salto, and native Salesforce DX. You know where each is strong and where they are vulnerable.
Strong perspective on how AI/ML (especially Salesforce Agentforce, Einstein, Data Cloud) will reshape the Salesforce development and governance landscape.
Hands-on executor. You write PRDs, you talk to customers, you review wireframes, you sit in sprint reviews. You do not manage from a distance.
Exceptional communication skills. You can present a product vision to a C-suite audience and write a technical specification for an engineering team in the same day.
Intellectual curiosity and a bias toward action. When you see a problem, you solve it. When you don't know something, you go learn it.
What Will Make You Exceptional in This Role
You have experience building products in the Salesforce AppExchange ecosystem, ideally as an ISV or within a Salesforce-native product company.
You have worked at the intersection of DevOps and security/compliance in regulated industries.
You have led product-led growth initiatives within an enterprise product, designing self-serve onboarding, in-product conversion, and expansion mechanics.
You have a point of view on the future of AI in Salesforce DevOps and can articulate a 3-year vision for how autonomous agents will change how enterprises build on Salesforce.
You have experience going head-to-head against well-funded competitors and winning through product superiority rather than just marketing spend.
What We Expect in the First 12 Months
First 90 Days: Learn and Diagnose
Achieve deep fluency in Flosum's five product lines and their technical architecture.
Conduct 25+ customer and prospect interviews to build a firsthand understanding of enterprise pain points.
Complete a competitive audit with specific, actionable recommendations on where Flosum should invest to win.
Deliver your first product roadmap refresh with clear prioritization rationale.
Months 3-6: Ship and Win
Own and deliver at least one major product release that directly addresses a competitive gap or customer-requested capability.
Establish a product-led feedback loop between Sales, CS, and Engineering that accelerates deal velocity and reduces churn.
Define the next generation of Flosum's AI capabilities and present a detailed execution plan.
Months 6-12: Scale and Lead
Drive measurable improvement in competitive win rates against Copado and Gearset.
Launch at least one net-new product capability that opens a new revenue stream or market segment.
Establish Flosum as a thought leader in AI-driven Salesforce DevOps through content, speaking, and ecosystem engagement.
Benefits
Why Flosum
Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational.
Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem.
Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate.
AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next.
Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it.
Compensation & Benefits
Competitive base salary + performance bonus
Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagement
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role:
We're hiring several Product Operations Managers to embed within our core product teams. Each will contribute to a key component of our stack. Whether you are ensuring models work within each of our harnesses, prioritizing a great experience across cloud offerings, or building the application layer that keeps users on the frontier, the Product Operations team is an integral part of delivering great products to the world.
Product Operations is the connective tissue between Research, Product, and the market. We shorten the distance between what our models can do and what people get to use. Each of us sits inside one product team as an extension of its leadership, and together we run one shared operating system for how Anthropic ships and learns.
On a given day you might get a launch through its final review, run an early access window, or triaging customer feedback. The rest of the week you build the systems so the team ships and learns faster next time. Our team is small and gets unusual leverage from Claude enabling us to fill gaps across the company and deliver outsized value.
Responsibilities:
1. Ship with confidence
Own launch readiness for your team. Keep our launch calendar the source of truth for what is shipping and when.
Get every major launch through go/no-go: pre-read written, Security, Safeguards, Legal, and Commercial sign-offs recorded, and any accepted risk written down on purpose.
Run early access and beta programs that return signal Product and Research can act on. Define the question before the window opens, give testers the scaffolding to answer it, and close each one with a retro on whether the feedback landed.
Program manage new model launches on your surface: readiness goals set in advance, testing and eval coverage tracked, issues triaged, prompting changes landed, retro run. You won't write the evals. You run the program around them.
2. Close the loop with users
Turn a lot of noise into two clear signals: what users are asking for, ranked by impact and mapped to the roadmap, and which customers or cohorts are blocked, on what, and why it matters.
Plug your team into Anthropic's shared feedback systems rather than building a private one, and improve the shared systems where they fall short.
Make sure the field, Support, and Research hear back about what happened with what they sent.
3. Run the team's operating system
Set the team's pace: planning, business and execution reviews, goal tracking, offsites.
Own how your team works with Legal, Safeguards, Security, GTM, and other product teams so partnering with your team is predictable.
Push reporting overhead toward zero. Reviews and digests should be generated from data that already exists.
Fill the gaps. Every embedded seat carries one or two projects unique to its team, for example managing Monthly Business Reviews and helping track progress between cycles.
4. Build with Claude
Build the tools you need yourself: Claude-powered triage, dashboards that read and write to our systems of record, skills and agents that take the chasing out of the job.
Contribute what you build back to the ProdOps team as reusable patterns (launch checklists, EAP setup, lookbacks, deprecations) so nobody starts from scratch.
You may be a good fit if you have:
Have owned an operational program end to end (launches, early access, feedback, or planning) that a product team relied on to make decisions. You designed it and ran it, not just executed someone else's plan.
Have built a process from zero to one and then simplified it as it scaled. You treat process as a product: it has users, metrics, and a happy path people want to follow.
Have worked embedded with product leadership and can move a team without formal authority.
Build with AI yourself. You have shipped Claude or other LLM-powered workflows, written the prompts, iterated on the outputs, and can describe model behavior with specifics.
Have direct experience managing evals, refining system prompts, and adapting harnesses to new models.
Have direct experience working with Cloud providers in partnership or GTM capacity
Have commitment to safe deployment of AI. Bonus if experience with AI Safety and Safeguards.
Bonus:
Program managed model launches or model quality at an application-layer AI product.
Run early access, beta, or design partner programs.
Product management, technical program management, chief of staff, or strategy and operations experience at a startup or fast-growing product company.
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:
$260,000
—
$325,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
Location: Algeria (West)
Workplace: onsite
ABOUT Yassir :
Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world.
We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally.
Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.
Tasks :
Proactively identify and target high-potential merchants within the assigned area to acquire new agents for Yassir's financial services product.
Present the agent wallet product to potential agents, highlighting its benefits for them (increased revenue) and their customers (financial inclusion).
Negotiate and onboard new agents, ensuring they understand the product offering and contractual terms.
Build and maintain strong relationships with assigned agents, fostering open communication and addressing their concerns promptly.
Conduct regular visits to agents to ensure they are satisfied with the service and provide ongoing support.
Develop and implement strategies to grow transaction volume and revenue generated through the assigned agent network.
Identify opportunities to upsell existing agents on additional Yassir services or features.
Proactively monitor service uptime for assigned agents and identify any issues impacting their ability to serve customers.
Assist agents in resolving service disruptions and ensure Yassir wallets are functioning properly by constantly availing e-money in their agent wallets and/or cash in their tills
Work collaboratively with the Sales Team Leader to address any challenges related to agent liquidity and ensure timely cash flow for transactions.
Profil :
Location: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
ABOUT THE ROLE
We're looking for a GTM Engineer to join our team. This is a hands-on engineering role embedded in our GTM org. You'll own the systems that power how we identify, enrich, score, and engage prospects at scale: a custom built enrichment pipelines leveraging Cargo, the campaign sync tooling that feeds our events and outbound plays, and the code that ties it all together.
You'll work at the intersection of GTM strategy and software engineering by writing production TypeScript/Python, shipping PRs, designing schemas, and building internal tools that the whole GTM team depends on daily. Think of it as being the engineer who makes the rest of the GTM team unreasonably effective.
You don't need to have done this exact job before. You need to care about the craft. The best GTM Engineers at WorkOS are the ones who spot a broken workflow in Slack at 11pm, open a PR the next morning, and ship the fix before the standup. They're the ones who, when the sales team complains about bad data, don't just route it to RevOps, they dig into the Snowflake schema and find the upstream issue. If that sounds like how you work, we want to talk.
RESPONSIBILITIES
- Enrichment infrastructure: You'll maintain and improve our core enrichment pipeline: the workflows that take a new signup or a conference attendee list and return a fully enriched, scored, and Salesforce-upserted record. Today that involves Cargo, Clay, Snowflake, and a growing set of data providers (Apollo, Linkup, Exa). You'll own the reliability, fill rates, and schema consistency of these systems.
- Account scoring: You'll work on the fit scoring pipeline: the logic that evaluates every company flowing through our stack against our ICP and writes results to Snowflake and SFDC. This includes batching optimization, retry logic, logging and observability, and continuously improving the underlying signals.
- Campaign and event tooling: You'll build and maintain the systems that sync event attendee lists (Luma, conference CSVs) through enrichment and into Salesforce campaigns. When a BDR asks "who came to our event last night?", your tooling answers that question automatically and routes the right records to the right owners. You’ll also propose and prioritize growth experiments, validate the approach, own implementation, measure results, and iterate.
- Custom Tooling integration: You'll build and maintain enrichment tooling accessible via Wallaby, WorkOS's internal AI agent that the GTM team uses to look up prospects, run ad-hoc enrichments, and surface account intel on demand. You’ll design the underlying tools so they’re clean, effective, and composable, using AI and automation across research, enrichment, routing, and engagement workflows.
- GTM data infra: You'll work closely with the data engineering team to keep our Snowflake schema in sync with the tools that consume it, track downstream pipeline impacts when schemas change, and ensure the data flowing into SFDC is accurate and up-to-date. Own and maintain lead and conversion tracking across the funnel, including lifecycle stages and campaign attribution. Keep the underlying data and tracking reliable so we can measure conversion and identify where prospects drop off.
- Code: You'll ship real code. PRs go through review. You'll debug production incidents (Salesforce API rate limits, Cargo timeouts, enrichment failures). You'll instrument logging, add observability, and think carefully about batching, concurrency, and idempotency.
QUALIFICATIONS
- Engineering foundation: You're a capable software engineer. You write clean TypeScript or Python, understand async patterns, know how to design a database schema, and can debug a production incident from logs alone. You don't need to have worked at a software company, but you need to be able to write and ship code.
- GTM domain knowledge: You've worked with the tools: Salesforce, HubSpot, Clay, Cargo, Apollo, or equivalents. You understand how leads flow through a CRM, what enrichment providers actually return, and why data quality degrades over time. Ideally you've had a BDR or AE background that gives you intuition for what the sales team actually needs.
- Systems thinking: You think in pipelines, not one-off scripts. When you build something, you think about what happens at 10x volume, when an API goes down, or when the same company gets submitted five times simultaneously.
- 3+ years of experience in GTM Engineering, Revenue Operations, or a closely adjacent technical role at a high-growth B2B SaaS company.
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Charlotte, NC
General Summary
The RELO’s primary duty is making sales of residential mortgage loan products to home buyers. The RELO is a salesperson who is customarily and regularly engaged in making sales away from Envoy’s branch offices or the RELO’s home office. Loan origination activities constitute no more than 25% of the RELO’s time, which is primarily spent conducting sales activities.
Duties and Responsibilities
The primary job duties and responsibilities of this position include but are not limited to:
Create sales opportunities by promoting Envoy’s loan products to other realtors, builders, home buyers, and referral sources
Generate and qualify leads and meet with potential clients
Develop and maintain relationships with potential clients
Solicit & procure new loan applications by meeting with and presenting loan products to potential clients
Educate home buyers on current loan product offerings and programs for which they qualify
Meet with potential home buyers in homes listed for sale and real estate offices to make sales pitches
Ensure all marketing is performed in a manner that is compliant
Use Envoy’s point of sale system to create new loan applications
Provide dual capacity disclosure and if applicable, affiliated business arrangement disclosure to potential clients
Take regular sales training
Work primarily away from Envoy’s office without set hours
Is primarily commission-based based on performance
Assist with collection of financial information (tax returns, bank statements, etc.) and other related documents that are required as part of the application process
Request and gather relevant information/documents from the borrower to complete the application, its structure and all loan disclosures
Authorize credit reports, appraisals, flood certifications, and title work
Ensure maintenance of active real estate and NMLS licenses
Comply with local, state and federal laws regarding position
Adhere to all Envoy standards, including, but not limited to production minimums and customer service
Conduct business in an ethical manner and in the best interest of Envoy, with Envoy’s core values in mind
Any additional duties as assigned
THIS JOB DESCRIPTION IS NOT INTENDED TO BE ALL-INCLUSIVE. THE INCUMBENT WILL ALSO PERFORM OTHER REASONABLY RELATED BUSINESS DUTIES AS ASSIGNED BY MANAGEMENT.
Qualifications
Listed below are the minimum qualifications required to successfully perform this role. These qualifications are necessary for someone to be considered for this position.
Qualifications include:
Strong sales experience and sales expertise
Licensed real estate agent or broker
Must have NMLS and SAFE, UST, preferred.
High school diploma or equivalent, Bachelor’s degree is preferred
Knowledge of Microsoft Excel, Word and Outlook
Knowledge of mortgage loan products (FHA/VA/CONV)
Exceptional follow-up, time management, interpersonal, and verbal and written communication skills
Willingness to learn, self- motivated, social media savvy and a forward thinker
Excellent customer service skills and working in a team environment
Excellent interpersonal, verbal and written skills are a must
Must be a self-starter who is reliable, detail oriented and the ability to resolve issues
Strong relationship building a must, along with strong written and verbal communication skills
Ability to analyze issues and create effective resolutions, while managing multiple projects at one time
Physical Requirements
The employee must occasionally lift and/or move up to 25 pounds
Specific vision abilities required by this job include close vision
While performing the duties of this job, the employee is regularly required to sit, use hands to finger, handle, or feel; reach with hands and arms; and talk or hear
The employee is occasionally required to stand; walk; climb or balance and stoop, kneel, crouch or crawl
We are an equal opportunity employer and value diversity. All employment is decided on the basis of qualifications, merit and business need. We are committed to creating an inclusive environment for all employees.
Location: India Remote; Romania Remote
Workplace: Remote
ABOUT THE ROLE
Joining Cyberhaven offers a unique opportunity to be at the forefront of revolutionizing data protection through cutting-edge AI technology. Cyberhaven is dedicated to overcoming the challenges faced by traditional data security products, ensuring robust protection of critical data against insider threats in a rapidly evolving work environment. With a unique approach to data lineage, tracing data from its origin for better classification and protection, Cyberhaven combines the functionality of traditional data protection security tools into a single, more effective solution. This role not only allows you to contribute to the advancement of cloud and data security but also places you within a team of security and product professionals passionate about transforming the way data is protected.
We’re looking for an experienced endpoint developer to help drive and evolve our product. Our technology is new and rapidly evolving, and you’ll have a chance to be an early contributor with a substantial impact on the product architecture.
WHAT YOU'LL DO
- Design and implement components of our state-of-the-art system sensor that traces all data movement across all applications and files on macOS endpoints
- Solve challenging performance optimization problems: we’re building software that monitors hundreds of thousands of events with minimal impact on performance of the endpoint applications
- Design and build highly reliable code that never impacts the end-user experience
- Build secure-by-design hardened software that must withstand real-world attacks, while processing untrusted data and communicating with a backend over the internet
WHO YOU ARE
- Strong track record in working with Swift on macOS.
- Experience of building system extensions using Endpoint security framework and Network extensions
- Prior work on at least one large native application deployed to tens of thousands of end-users
- Experience debugging, profiling, and optimizing the performance of low-level system software using Instruments
- Experience building endpoint security products, such as DLP or EDR applications.
- Proficient in designing and implementing application architecture
- Experience with agile development and SCRUM
- Proven ability to collaborate with a distributed cross-functional team
- Possess verbal and written communication skills in English
- Availability to frequently communicate with a distributed engineering team in Central European and US Eastern time zones
- Located in the following locations: Romania, India, Poland
Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It.
Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe.
AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking.
Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Location: Barcelona, Spain
Workplace: remote
About seQura
seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers.
We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel.
We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months.
Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR.
Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5.
About the role
🤓
We have an exciting opening for a
Senior Software Engineer
who is able to see the big picture and balance the search for software quality with a pragmatic approach to help us scale the company. If you're a proactive, creative, and hands-on person who wants to help improve SeQura's product, having ownership and exposure to work hand in hand with seasoned professionals in a collaborative environment, this is the perfect place for you.
We have different projects to carry out our amazing product’s development, you’ll have the possibility to join us to help us grow by contributing to technical and architectural decisions and even creating new teams.
How we build at seQura
🤖
AI-assisted development is how our engineers work every day. We use AI agents to think through problems, write, review and iterate on code, and we're looking for engineers who already work this way, or are actively making the shift.
What matters to us isn't whether you know the syntax and idioms of your preferred programming language or tech stack by heart. It's whether you understand the problem you're solving, can explain the business logic behind it, and own every line you ship, no matter who (or what) wrote it first.
AI helps you move faster, challenge assumptions, explore different approaches and improve your solutions. But knowing which questions to ask, making sound technical and product decisions, and taking responsibility for the outcome is always up to you.
Our technical interviews reflect this approach: you'll use your own AI tools, and we'll ask you to walk us through your solution, both the business reasoning and the code.
If you're only interested in technical challenges without engaging in the product decisions behind them, or you'd rather not work with AI, this probably isn't the right role for you.
What challenges you'll be solving 🚀
Be passionate about solving meaningful product problems and delivering simple, clean, and maintainable solutions, leveraging AI to improve both your thinking and your code.
Be proactive, accountable, analytical, and pragmatic.
Contribute with close attention to detail/product ownership.
Work as a strong team player and communicator.
Arrive with motivation to learn and grow.
Be passionate about driving change and efficiency with partners from different disciplines.
What we offer 😎
We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible.
One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge.
In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need.
23 vacation days + 2 days of free disposal per year.
Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee.
Health insurance discounts with Sanitas and DKV.
Flexible working hours.
A personal budget for professional development.
Office workshops and meet-ups to encourage community participation and career growth.
Hybrid or remote work (up to 2 hours difference from GMT+2).
Moreover, we have a
Wellness Program
that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you.
What you’ll need 🤝
7+ years of experience working as a Software Engineer.
Experience in the full-stack development, deployment, and maintenance of web-based technology applications with Ruby on Rails or the ability and interest in working with it (JavaScript, Elixir, Kotlin, Java, and Python experience is also very valued).
Solid knowledge of OOP, clean coding, TDD, and agile.
English proficiency.
Which are the next steps?
🙌
Interview with People Team
Technical take-home assessment
(async)
Live Peer review of the assessment
Meet the team
We kindly ask that you submit your
CV in English,
as it is the official language of our community.
We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all.
Do you want to be part of the change? Join us!👇
Location: London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Anthropic Fellows Program overview
The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.
Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a
public output
(e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers. We run multiple cohorts of Fellows each year and review applications on a rolling basis.
Apply at the bottom of this page. We are accepting applications on a rolling basis for the next cohort expected to start in January 2027. In some circumstances, we can accommodate fellows starting outside the usual cohort timelines — please note in your application if the January 2027 start date doesn't work for you.
What to expect
4 months of full-time research
Direct mentorship from Anthropic researchers
Access to a shared workspace
Connection to the broader AI safety and security research community
Weekly stipend of 4,615 USD / 3,440 GBP / 6,470 CAD / 4,110 EUR + benefits (these vary by country)
Funding for compute (~$15k/month) and other research expenses
Interview process
The interview process will include an initial application, assessments, and interviews. We may ask for references later in the process as well.
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.
Compensation
The expected base stipend for this role is 4,615 USD / 3,440 GBP / 6,470 CAD / 4,110 EUR per week, with an expectation of 40 hours per week for 4 months (with possible extension).
ML Systems & Performance Fellows
Mentors, research areas, & past projects
Fellows will undergo a project selection & mentor matching process. Potential mentors include:
Alwin Peng
Zygi Straznickas
Note: You may research mentors' prior work, but all applications must go through the official form, not the mentors.
For a past example of an engineering-heavy project, see:
AI agents find $4.6M in blockchain smart contract exploits
Projects in this workstream may include:
Building a CPU simulator for accelerator workloads
Adding backends for different accelerators on an open source project
Building on demand infrastructure for other infrastructure heavy fellows projects
Building complex synthetic data or environment pipelines
Unique candidate criteria
You might be a particularly great fit for this workstream if you:
Have strong software engineering skills with experience building complex ML systems
Can balance research exploration with engineering rigor and operational reliability
Enjoy collaborating across research and engineering disciplines
Are comfortable working with large-scale distributed systems and high-performance computing (e.g. in trading)
Have experience with training, fine-tuning, or evaluating large language models
Are adept at analyzing and debugging model training processes
You may be a good fit if you
Are motivated by making sure AI is safe and beneficial for society as a whole
Are excited to transition into empirical AI research and would be interested in a full-time role at Anthropic
Have a strong technical background in computer science, mathematics, or physics
Thrive in fast-paced, collaborative environments
Can implement ideas quickly and communicate clearly
Candidates must be
Fluent in Python programming
Available to work full-time on the Fellows program
Reinforcement Learning Fellows
Mentors, research areas, & past projects
Fellows will undergo a project selection & mentor matching process. Potential research areas and mentors include:
Ruhua Jiang
Kaidi Cao
Sunny Duan
David Brandfonbrener
Colt Steele
Dino Distefano
Will Williams
Projects in this workstream may include:
Building model-based tools to better understand AI training data and improve training data quality
A research project to better understand generalization
Creating RL environments to improve Claude models at capabilities that are within your domain of expertise
Building RL environments for safety-related tasks
Conducting research and implementing solutions in areas such as RL algorithms
Unique candidate criteria
You might be a particularly great fit for this workstream if you:
Have strong software engineering skills with experience building complex ML systems
Can balance research exploration with engineering rigor and operational reliability
Enjoy collaborating across research and engineering disciplines
Are comfortable working with large-scale distributed systems and high-performance computing
Have experience with training, fine-tuning, or evaluating large language models
Are adept at analyzing and debugging model training processes
Logistics
Logistics Requirements:
To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.
Workspace Locations:
We have designated shared workspaces in SF.
We are also open to remote fellows in the UK, US, or Canada
.
Visa Sponsorship:
We are
not
currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.
Program Duration:
The program runs for 4 months, full-time. If you can't commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis.
Please note:
We do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit for full-time roles at Anthropic. In previous cohorts, 25-50% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on AI safety and security at other organizations.
The below are Anthropic's policies for full time roles. These do
NOT
apply to the Fellows Program.
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
Location: London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA
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.
Applications are now open for our January cohort -
apply here by October 30.
Anthropic Fellows Program overview
The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.
Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a
public output
(e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers. We run multiple cohorts of Fellows each year and review applications on a rolling basis.
What to expect
4 months of full-time research
Direct mentorship from Anthropic researchers
Access to a shared workspace (in either Bay Area, California, Toronto, Canada, or London, UK)
Connection to the broader AI safety and security research community
Weekly stipend of 4,615 USD / 3,440 GBP / 6,470 CAD / 4,110 EUR + benefits (these vary by country)
Funding for compute (~$15k/month) and other research expenses
Interview process
The interview process will include an initial application & reference check, technical assessments & interviews, and a research discussion.
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.
Compensation
The expected base stipend for this role is 4,615 USD / 3,440 GBP / 6,470 CAD / 4,110 EUR per week, with an expectation of 40 hours per week for 4 months (with possible extension).
Across the workstreams, you may be a good fit if you:
Are motivated by making sure AI is safe and beneficial for society as a whole
Are excited to transition into empirical AI research and would be interested in a full-time role at Anthropic
Have a strong technical background in computer science, mathematics, or physics
Thrive in fast-paced, collaborative environments
Can implement ideas quickly and communicate clearly
Strong candidates may also have:
Strong background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, or cybersecurity)
Experience in areas of research or engineering related to their workstream
Candidates must be:
Fluent in Python programming
Available to work full-time on the Fellows program
AI Safety Fellows
Mentors, research areas, & past projects
Fellows will undergo a project selection & mentor matching process. Potential mentors include:
Sam Bowman
Sara Price
Alex Tamkin
Nina Panickssery
Trenton Bricken
Logan Graham
Jascha Sohl-Dickstein
Joe Benton
Collin Burns
Fabien Roger
Samuel Marks
Kyle Fish
Ethan Perez
Our mentors will lead projects in select AI safety research areas, such as:
Scalable Oversight:
Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.
Adversarial Robustness and AI Control:
Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.
Model Organisms:
Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise.
Model Internals / Mechanistic Interpretability:
Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures.
AI Welfare:
Improving our understanding of potential AI welfare and developing related evaluations and mitigations.
On our
Alignment Science
and
Frontier Red Team
blogs, you can read about past projects, including:
Subliminal Learning: Language Models Transmit Behavioral Traits via Hidden Signals in Data:
Alex Cloud and Minh Le, et al., mentors including Samuel Marks and Owain Evans
Open-source circuits:
Michael Hanna and Mateusz Piotrowski with mentorship from Emmanuel Ameisen and Jack Lindsey
For a full list of representative projects for each area, please see these blog posts:
Introducing the Anthropic Fellows Program for AI Safety Research
,
Recommendations for Technical AI Safety Research Directions
.
Unique candidate criteria
You might be a particularly great fit for this workstream if you:
Are motivated by reducing catastrophic risks from advanced AI systems
Have experience with empirical ML research projects
Have experience working with large language models
Have experience in one of the research areas mentioned above
Have a track record of open-source contributions
AI Security Fellows
Mentors, research areas, & past projects
Fellows will undergo a project selection & mentor matching process. Potential mentors include:
Nicholas Carlini
Keri Warr
Evyatar Ben Asher
Keane Lucas
Newton Cheng
On our
Alignment Science
and
Frontier Red Team
blogs, you can read about some past Fellows projects, including:
AI agents find $4.6M in blockchain smart contract exploits:
Winnie Xiao and Cole Killian, mentored by Nicholas Carlini and Alwin Peng
Strengthening Red Teams: A Modular Scaffold for Control Evaluations:
Chloe Loughridge et al., mentored by Jon Kutasov and Joe Benton
Unique candidate criteria
You might be a particularly great fit for this workstream if you:
Are motivated by reducing catastrophic risks from advanced AI systems
Have contributed to open-source projects in LLM- or security-adjacent repositories
Have demonstrated success in bringing clarity and ownership to ambiguous technical problems
Have experience with pentesting, vulnerability research, or other offensive security work
Have a demonstrated willingness to do the "dirty work" that produces high-quality outputs
Have reported CVEs or been awarded bug bounties
Have experience with empirical ML research projects
Have experience with deep learning frameworks and experiment management
Logistics
Logistics Requirements:
To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.
Workspace Locations:
We have designated shared workspaces in London and Berkeley where fellows will work from and mentors will visit.
We are also open to remote fellows in the UK, US, or Canada
. We will ask you about your availability to work from Berkeley or London (full- or part-time) during the program.
Visa Sponsorship:
We are
not
currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.
Program Duration:
The program runs for 4 months, full-time. If you can't commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis.
Please note:
We do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit for full-time roles at Anthropic. In previous cohorts, 25-50% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on AI safety and security at other organizations.
Applications and interviews are managed by
Constellation
, our recruiting and program partner. Constellation also runs the Berkeley workspace and provides program support for fellows working on AI safety and security; fellows on capabilities-focused projects are supported directly by Anthropic. All applicants currently use the same application portal but we are working to separate applications for safety/security and capabilities-focused projects in future rounds.
Apply here by October 30.
The below are Anthropic's policies for full-time roles. These do
NOT
apply to the Fellows Program.
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
Location: CCA
THE ROLE
As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world.
You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it.
You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results.
This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification.
WHAT YOU’LL DO
- Embed with customers to understand their workflows, constraints, and measures of success.
- Turn loosely defined operational problems into clear technical plans and production systems.
- Design and build AI agents that integrate with customer tools, data, and business processes.
- Own deployments from prototype through launch, monitoring, and continuous improvement.
- Test with real-world data, measure business outcomes, and iterate based on evidence.
- Make pragmatic tradeoffs across architecture, reliability, speed, and user experience.
- Partner closely with Wonderful’s Product and Engineering teams to improve the core platform.
- Turn lessons from individual deployments into reusable tools, patterns, and best practices.
WHAT WE’RE LOOKING FOR
- 5+ years of experience building software or solving complex technical problems.
- Strong foundations in software architecture, system design, and production engineering.
- Experience working across APIs, integrations, data flows, and distributed systems.
- The ability to bring structure and momentum to ambiguous problems.
- Confidence working directly with customers, from operational teams to technical stakeholders.
- Clear communication, sound judgment, and a strong sense of ownership.
- Genuine curiosity about applied AI and its potential to transform how businesses operate.
NICE TO HAVE
- Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role.
- Experience building AI agents, workflow automation, or conversational systems.
- Familiarity with LLM evaluation, observability, and reliability in production.
- Experience deploying and improving systems in complex enterprise environments.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Adriatics
WHAT YOU'LL DO
As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land.
Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production.
This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end.
- Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win.
- Lead discovery with enterprise customers to understand workflows, constraints, and success criteria.
- Define scope, success metrics, and integration plans for pilots and rollouts.
- Translate customer needs into clear deployment plans for engineering teams.
- Coordinate deployments across Product, Engineering, and customer stakeholders.
- Track progress, manage risks, and remove blockers throughout the deployment.
- Support production launches and ensure solutions are adopted and working as intended.
- Monitor deployed agents and drive follow-up improvements based on real usage.
- Identify additional use cases and expansion opportunities with customers.
You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value.
WHY SHOULD YOU
- You’ll be part of what is tipped as the fastest-growing startup in Europe.
- Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now.
- You’ll join a team of high-agency builders coming from the best tech companies out there.
- Never boring - you’ll be solving problems for and with the biggest Enterprises in the world.
WHO YOU ARE
- Experience in deployment-focused, technical, or execution-oriented roles.
- Strong ability to structure ambiguous problems and turn them into concrete plans.
- Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations.
- Clear communication and strong stakeholder management skills.
- High ownership mindset and bias toward action.
- Interest in building and deploying AI-powered systems in real environments.
NICE TO HAVE
- Background in solutions engineering, technical consulting, or forward-deployed roles.
- Prior hands-on engineering experience.
- Experience supporting production software launches.
- Experience working in high-growth or early-stage environments.
WHY THIS ROLE EXISTS
Enterprises are ready to use AI, but execution is the hard part.
This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: San Francisco, CA | New York City, NY | Seattle, WA
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 Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via
Claude.ai
, the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership.
You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.
We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential.
What you'll do:
Developer Experience:
You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude's capabilities, and accelerating the path to agentic development by designing for both human and AI developers. You'll work closely with teams across the Platform org to turn Claude's newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent.
Beneficial Deployments:
Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way.
Vertical AI Products:
Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come:
Life Sciences
— an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast.
Enterprise AI Products:
You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are:
Extensibility
— plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.
Context
— enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.
Proactivity
— Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need".
Public Sector:
Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them.
Enterprise Foundations:
You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork.
Growth:
Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact.
You might be a good fit if you:
Have a minimum of 6 years of practical full-stack engineering experience
Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack
Are technically proficient in
modern
frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript)
Take a product-focused approach to building solutions that are robust, scalable, and easy to use
Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1
Have successfully driven cross-team alignment to get impactful work shipped, and work with influence over authority
Have experience establishing engineering standards, component architectures, and development best practices
Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of teams.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
Location: San Francisco, CA | New York City, NY | Seattle, WA
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 Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via
Claude.ai
, the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership.
You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.
We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential.
What you'll do:
Platform Ecosystem:
The Ecosystem team is empowering the next big industries beyond coding to build on our platform & creating the right commercial rails to let any business in our ecosystem profit from building on Claude. As an early member of this foundational effort, you'd identify and build for the next 10x markets starting with Life Sciences and Healthcare. We also build the commercial rails and controls that let the platform do business anywhere, with anyone, and turn Claude from a cost line into a revenue line.
Beneficial Deployments:
Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way.
Vertical AI Products:
Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come:
Life Sciences
— an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast.
Enterprise AI Products:
You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are:
Extensibility
— plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.
Context
— enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.
Proactivity
— Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need".
Public Sector:
Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them
Enterprise Foundations:
You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork.
Growth:
Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact.
You might be a good fit if you:
Have a minimum of 8 years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level
Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack
Are a technical expert in
modern
frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript)
Take a product-focused approach to building solutions that are robust, scalable, and easy to use
Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1
Care deeply in investing in the mentorship and growth of your peers
Have successfully driven cross-team/cross-org organizational alignment to get impactful work shipped, and work with influence over authority
Have experience establishing engineering standards, component architectures, and development best practices
Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, NJ, SEA, SF or the Bay Area given the current location of team.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role:
Anthropic is looking for experienced, product-minded engineers to own the backend systems that power user experiences across our API, Claude Code, and Claude.ai. You'll independently scope complex, multi-month projects through ambiguous problem spaces and lead peers through technical and product decisions; you'll drive alignment with product, peer engineering teams, and research to identify capability gaps and translate frontier model improvements into shipped products. You'll make architectural decisions that affect the reliability and scalability of systems serving hundreds of thousands of global users (including internal teams), and design processes that help your team operate effectively and never fail the same way twice - all while staying hands-on with the code and our models.
We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential:
Platform Intelligence:
You'll build and scale the foundation of the Claude API—the systems that deliver Claude's intelligence to every developer, from startups to enterprise. You'll own the performance, reliability, and efficiency of our core serving path, ensuring users get the most speed and value from our models. You'll partner closely with inference and safeguards to optimize the full stack.
Platform Ecosystem:
The Ecosystem team is empowering the next big industries beyond coding to build on our platform & creating the right commercial rails to let any business in our ecosystem profit from building on Claude. As an early member of this foundational effort, you'd identify and build for the next 10x markets starting with Life Sciences and Healthcare. We also build the commercial rails and controls that let the platform do business anywhere, with anyone, and turn Claude from a cost line into a revenue line.
We are hiring founding engineers for these two pillars. We are looking for engineers who have good product and business sense to drive strategy, dive into different stacks, and break through walls to drive these 0 -> 1 efforts. You'll be working closely with product, design, GTM, FDE, and other internal & external customers to build out and deliver on the strategy.
Platform Serving:
You'll focus on transforming Claude into a true knowledge worker by ensuring the model has access to and understanding of the right knowledge at the right time. You'll work on making it possible for developers to securely give Claude access to their data while automatically processing and retrieving relevant information. You'll partner directly with research to bring state-of-the-art retrieval advancements to developers.
Developer Experience:
You’ll focus on building products and tools to enable developers to harness the full power of LLMs to create successful, reliable, and groundbreaking applications with ease. You’ll build the tools to accelerate developers from idea to deployment. You'll help figure out how to leverage Claude to improve developer's usage of the API, such as generating and evaluating prompts while collaborating closely with the teams above to bring Claude's current and future capabilities to developers.
Agentic Systems:
You'll build the infrastructure and APIs that let developers create powerful agentic applications on the Claude API — including Claude Managed Agents, our managed platform for deploying and running agents in production. Your work spans the primitives agent developers depend on: tool use, multi-step reasoning, durable sessions and environments, and long-running task execution that lets Claude take actions and accomplish complex goals on a user's behalf. You'll make this platform ready for the largest enterprises to adopt, and partner with research to bring cutting-edge agent capabilities into production.
Auth & Identity:
We build and maintain the critical infrastructure and control interfaces that power identity and authentication across Anthropic's product suite. We work closely with product teams, security, support, and trust & safety as customers. We create scalable solutions for user authentication, authorization, role-based access control, and single sign-on that form the backbone of our company's identity management operations. We maintain a user-centric approach, building reliable systems that our users and company can depend on as we tackle complex challenges at the intersection of security, scalability, and user experience.
Platform Distribution:
The Claude API today is a rapidly growing platform serving developers and enterprises at scale—but reaching the next tier of enterprise customers requires transforming how and where we deploy it. The Distributability team owns that transformation: making the Claude API a cloud-native, managed product that runs wherever our customers need it, cross-cloud and on Anthropic's own infrastructure, with the enterprise-grade security, compliance, and operational capabilities to support it.
Enterprise Foundations:
We're looking for a software engineer to join our Enterprise Foundations team—the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible.You'll build the foundational systems that large organizations require before they can deploy AI at scale: user and permissions management, security and compliance features, and analytics infrastructure. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly.
Platform Safety:
We're building the identity and verification product layer that enables safe model launches as Claude's capabilities expand. This critical effort partners with Safeguards, Auth & Identity, Policy, and Product teams across API,
Claude.ai
, and third-party platforms as customers, creating the systems for KYC/KYB, trust grant issuance and inheritance, and end-user verification that flow across every Anthropic surface. We sit at the intersection of trust, compliance, and product velocity, delivering the verification primitives that let Anthropic ship advanced model capabilities to the right users at massive scale.
You Might Be a Good Fit If You:
Have 8+ years of relevant experience as a backend or product engineer, with a track record of leading complex, multi-month projects or teams as a tech lead or equivalent
Have strong coding fundamentals and are comfortable working across backend systems, APIs, and integrations — and can reach into the frontend when needed to ship an effective solution
Have led the design and delivery of large-scale backend systems in production that power high-adoption B2B or consumer facing products
Are skilled at driving alignment across technical and non-technical teams; you communicate clearly, influence technical decisions beyond your immediate team, and help others ramp effectively on your systems
Take a product-focused approach to your work work and care about building solutions that are robust, scalable, and easy to use
Care deeply about investing in the mentorship and growth of your peers
Have experience with distributed systems, API design, and cloud infrastructure at scale
Thrive in fast-paced environments and can navigate ambiguity to find the highest-leverage path forward
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
УдалённоNetherlands
УдалённоBelgium
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San Francisco, CA | New York City, NY | Seattle, WA
seniorHanoi OR Ho Chi Minh City
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Charlotte, NC
УдалённоseniorAvailability to frequently communicate with a distributed engineering team in Central European and US Eastern time zones
УдалённоseniorBarcelona, Spain; If you're only interested in technical challenges without engaging in the product decisions behind them, or you'd rather not work with AI, this probably isn't the right role for you; Hybrid or remote work (up to 2 hours difference from GMT+2)
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География найма не уточнена
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