Working closely with Applied AI Engineering and Product teams, you'll help digital-native customers integrate and deploy AI while unlocking its full range of capabilities across their products, platforms, and operations. In collaboration with GTM and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with technical leaders and ensure differentiated value across the digital-native landscape.

The ideal candidate will have a passion for developing people, identifying market opportunities within the digital-native ecosystem, and executing strategies to capture them. By leading the deployment of Anthropic's emerging products, you will help technology companies obtain new capabilities while also advancing the ethical development of AI.

Responsibilities:

• Build and lead a high-performing team of Account Executives focused on digital-native businesses, providing coaching, mentorship, and guidance to drive team success

• Develop and implement sales strategies tailored to digital-native buying cycles and technical evaluation processes to meet and exceed team revenue quotas

• Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems

• Partner with Enablement to develop training programmes and resources that accelerate Account Executive ramp time and effectiveness, with specific focus on digital-native sales motions and technical buyer personas

• Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimise solutions post-sales for digital-native use cases

• Enable your team to have credible technical conversations about AI applications with engineering leaders, CTOs, and technical founders

• Build strong partnerships across the organisation to drive strategic initiatives within the digital-native segment

• Identify and execute on new market opportunities and use cases for Anthropic's AI solutions within technology companies, developer platforms, and digital-first organisations

• Help your team navigate complex stakeholder ecosystems including technical leaders, product teams, procurement, and executive sponsors to build consensus

• Gather and synthesise customer feedback from digital-native users to inform product direction and enhance customer experience

• Build and continuously refine the digital-native sales methodology by incorporating learnings into playbooks and best practices

You may be a good fit if you have:

• 10+ years of enterprise sales experience selling into technology or digital-native companies, preferably driving adoption of SaaS, API-first, or emerging technologies

• 5+ years of sales leadership experience, ideally leading teams selling into digital-native or technology-first organisations

• A history of building and leading high-performing sales teams selling into technical buyers, with demonstrated success in coaching and developing Account Executives

• Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organisations

• Strong technical acumen and ability to understand complex AI solutions and their applications, with experience enabling teams to have credible conversations with CTOs, VP Engineering, and technical founders

• Demonstrated success partnering with technical teams throughout the customer journey

• Deep understanding of how digital-native companies evaluate and adopt new technologies, including developer-led and product-led buying motions

• Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives

• Experience managing enterprise sales cycles and helping Account Executives secure strategic, high-velocity deals

• Strong operational rigour in pipeline management, forecasting, and sales metrics

• Excellent communication skills and ability to build relationships across all levels, from individual engineers to C-suite executives

• Passion for AI technology and commitment to its safe, responsible development

Annual compensation range for this role is £280,000-£330,000 GBP.

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Working closely with Applied AI Architects, Account Executives, and Anthropic's Product and Engineering teams, you'll guide customers through deep technical engagements. You'll leverage your AI engineering expertise to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable tech-forward businesses to succeed with Claude.

Responsibilities:

• Serve as a deep technical advisor to high-growth, tech-forward companies, working alongside them to build innovative use cases that push the boundaries of AI

• Work hands-on with customer engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development

• Develop prototypes and technical documentation,including evaluation suites, AI engineering techniques, and architecture diagrams,that enable customers to build and scale with Claude

• Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements

• Identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team

• Create technical content for developer audiences including documentation, tutorials, and sample code

• Foster community engagement through hackathons, webinars, technical office hours, and developer-focused events

• Travel to customer sites for workshops, implementation support, and relationship building

You may be a good fit if you have

• 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder

• Experience in a customer-facing or pre-sales technical role - partnering with customers to scope, design, and deliver solutions

• Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale

• Strong programming skills with proficiency in Python and experience building production applications

• Experience working with high-growth, tech-forward companies

• Ability to context-switch across industries (healthcare, fintech, etc.) and use cases

• Builder credibility that earns trust with technical founders and engineering leaders - you've shipped products and can speak from experience

• Strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans

• Experience facilitating technical workshops, hackathons, or developer-focused events

• Passion for making powerful technology safe and beneficial

The annual compensation range for this role is £225,000-£240,000 GBP.

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• $150K – $300K • 0.01% – 0.1%

Sales Engineer (Developer-Focused)

You'll partner with AEs and Founders to help technical buyers — engineers, data scientists, AI/ML leads — understand how Firecrawl solves their hardest web-data problems. You'll lead demos, build prototypes, handle deep technical questions, and ensure every prospect hits the "aha moment" where Firecrawl's API just clicks. This is a high-impact role where you'll influence product direction, help design integrations, and define how Firecrawl is adopted across engineering teams.

Salary Range: $120,000–$220,000/year OTE (Range shown is for U.S.-based employees in San Francisco, CA. Compensation outside the U.S. is adjusted fairly based on your country's cost of living. You can explore how we calculate this here: [https://www.firecrawl.dev/careers/compensation](https://www.firecrawl.dev/careers/compensation).)

Equity Range: Up to 0.10%

Location: San Francisco, CA (Hybrid) OR Remote

Job Type: Full-Time (SF) OR Contract (Remote)

Experience: 3+ years or equivalent shipped systems

Visa: US Citizenship/Visa required for SF; N/A for Remote

About Firecrawl

Firecrawl is the easiest way to extract data from the web. Developers use us to reliably convert URLs into LLM-ready markdown or structured data with a single API call. In just a year, we've hit 8 figures in ARR and 80k+ GitHub stars by building the fastest way for developers to get LLM-ready data.

What You'll Do

• Partner with Sales to support technical evaluations and discovery calls

• Lead demos and POCs: design and deliver technical walkthroughs and lightweight prototypes to prove value

• Understand a customer's use case, identify where Firecrawl fits, and show how to get from messy web data to structured, LLM-ready output

• Collect and synthesize field insights to help the product team prioritize roadmap items

• Improve API docs, build sample projects, and contribute to internal enablement resources

• Translate technical pain points into actionable product improvements

• Train new hires and partner with marketing on technical collateral (videos, blog posts, live demos)

What We're Looking For

Technically fluent, not just technically adjacent. You're comfortable reading and writing code (Python, JavaScript, etc.), using APIs, and debugging integrations live. You don't need to hand off to engineering every time a prospect has a hard question — you can answer it yourself or build the proof on the spot.

An empathetic communicator who bridges worlds. You translate complex technical ideas into clear value for engineers and non-technical stakeholders alike. You know when to go deep on architecture and when to zoom out to business impact.

A problem solver, not a slide reader. You dig into customer workflows, understand blockers, and craft creative technical solutions. Your demos feel like conversations, not presentations.

Startup-ready and comfortable in ambiguity. You don't need a playbook or a solutions catalog. You thrive when the answer is "figure it out," and you move fast enough that customers feel momentum.

Cross-functional glue. You work naturally across Sales, Product, and Engineering. You're the connective tissue between what customers need and what gets built.

Backgrounds that often do well: Sales engineers or solutions architects at devtools or API companies. Engineers who discovered they love the customer-facing side. Technical founders who've sold their own product.

What We're NOT Looking For

Demo jockeys who can't go off-script. If your comfort zone is a rehearsed slide deck and a scripted walkthrough, this isn't the role. Prospects will ask hard questions and you need to answer them live.

Non-technical "relationship builders." Rapport matters, but you need to earn trust through technical depth. If you can't read code or debug an API call, you'll struggle here.

People who wait for the AE to set the agenda. You own the technical narrative in every deal. If you need someone else to tell you what to demo or when to follow up, this won't be a fit.

A Note On Pace

We operate at an absurd level of urgency because the window for what we're building won't stay open forever. If that excites you, keep reading. If it doesn't, no hard feelings — but this role probably isn't for you.

Benefits & Perks

Available to all employees

• Salary that makes sense — $170,000–215,000/year (SF, U.S.-based), based on impact, not tenure

• Own a piece — Up to 0.20% equity in what you're helping build

• Generous PTO — 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to recharge

• Parental leave

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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 Beneficial Deployments

Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organisations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor.

About the Role

We're looking for an Applied AI Engineer to join our Beneficial Deployments team. You'll use your deep technical expertise to help partners accelerate their impact through advising on evals, hill-climbing on harnesses, prototyping new agents, etc. You will also work on building ecosystem-level tooling and infrastructure to scale impact beyond individual partnerships.

Responsibilities

• Serve as a deep technical partner to mission-driven organisations through advising on evals, agent architectures, context engineering, cost optimisation, and more
• Provide hands-on support to partner engineering teams through pair programming, prototyping, and code contributions that accelerate their development
• Develop public goods infrastructure that benefits entire ecosystems through benchmarks, MCP's, and Agent Skills
• Identify challenges unique to social impact partners, and contribute findings and improvements back to product, engineering, and research
• Create technical presentations, demos, and scalable technical content (documentation, tutorials, sample code) to accelerate partner adoption and self-service
• Help shape team processes and culture as we scale from 1 to N
• Travel occasionally to customer sites for workshops, technical deep dives, and relationship building

You Might Be a Good Fit If You Have

• 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder
• Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale
• Builder credibility that earns trust with technical founders and engineering teams—you've shipped products and can speak from experience
• Experience working in ed-tech, healthcare, scientific research, nonprofit, or other mission-driven organisations, understanding their unique challenges and constraints
• A love of teaching, mentoring, and helping others succeed
• A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

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

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We're looking for an Applied AI Engineer to join our Beneficial Deployments team, focused on maximising the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation by an order of magnitude.

You'll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows. This isn't consulting from the outside — you'll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude's usefulness across the broader life sciences community.

Responsibilities:

• Partner deeply with flagship life sciences research institutions — understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day.
• Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch.
• Identify what's actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research.
• Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding.

You Might Be a Good Fit If You Have:

• 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder — with production experience shipping systems that real users depend on.
• Deep research experience in life sciences, biomedical research, or scientific computing. Bonus if you've studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics.
• Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks.
• Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder.
• A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission.

Logistics:

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• 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.

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As a Solutions Architect on the Startups Applied AI team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude.

Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion
• Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases
• Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions
• Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams
• Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales
• Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies
• Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams
• Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation
• Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures
• Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams
• Track record of selling technical products in competitive markets
• Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns
• Passion for making powerful technology safe and societally beneficial

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

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 the state of the art in AI and making a positive impact on society.

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As a Solutions Architect on the Startups Applied AI team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude.

Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion
• Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases
• Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions
• Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams
• Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building

You may be a good fit if you have:

• 3+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales
• Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies
• Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams
• Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation
• Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures
• Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams
• Track record of selling technical products in competitive markets
• Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns
• Passion for making powerful technology safe and societally beneficial

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts.

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