Key responsibilities include: Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer's requirements. Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises. Be accountable for securing the 'technical win' by unblocking technical challenges Interact with customers daily to understand their needs and design solutions to better serve them. Design and develop 'Scopes of Work' by breaking down customer challenges into a project plan Work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage Work with AEs and PMs to identify customer-specific feature requests. Drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team.

Ideal candidate will have: Strong engineering background with prior experience working with clients in a pre or post-sales capacity to realise business goals. Prior experience developing with Python, Java and/or other web development languages. Experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement. A track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership. Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers. High level of comfort communicating effectively across internal and external organisations. Intellectual curiosity, empathy, and ability to operate with high velocity.

Nice to have: GenAI Experience Forward deployed engineering experience Machine Learning Experience

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You will be accountable for securing the “technical win” by unblocking technical challenges. You will interact with customers daily to understand their needs and design solutions to better serve them. You will design and develop “Scopes of Work” by breaking down customer challenges into a project plan. You will work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage. You will work with Account Executives and Project Managers to identify customer-specific feature requests. You will drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team.

Ideally, you'd have a strong engineering background with prior experience working with clients in a pre or post-sales capacity to realise business goals. You should have prior experience developing with Python, Java and/or other web development languages. You should have experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement. You should have a track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership. You should have presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers. You should have a high level of comfort communicating effectively across internal and external organisations. You should have intellectual curiosity, empathy, and ability to operate with high velocity.

Nice to haves include GenAI Experience, Forward deployed engineering experience, and Machine Learning Experience.

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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

Requirements:

• 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

Benefits:

• Annual Salary: $240,000-$315,000 USD

• Competitive compensation and benefits

• Optional equity donation matching

• Generous vacation and parental leave

• Flexible working hours

• Lovely office space in which to collaborate with colleagues

Location:

• 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.

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As a Forward Deployed Product Manager, AI Agent, you will create, deploy and optimize AI Agents that transform our customers' businesses and delight their customers. This highly cross-functional and customer-facing role blends product thinking, a nose for value, and project leadership with senior customer executives.

At the end of the day, you own each AI Agent and the outcomes they drive for our customers, and you take that personally. You are a creative, pragmatic problem solver who thrives in fast-paced environments, rolls up your sleeves to build, and excels at turning ambiguity into execution.

In this role, you’ll partner with Forward Deployed Engineers (FDEs) who will support the build, integrations and optimization to make the AI Agent product successful. You’ll also work closely with product and engineering, providing a tight feedback loop and custom tooling that will shape the future of our platform.

What You’ll Do:

• Own AI Agent outcomes for our customers , defining and delivering on the metrics that move the needle. This includes finding additional automation opportunities that can provide even more value!

• Own the deployment lifecycle for AI Agents , from pre-sale scoping and kickoff to launch and post-go-live optimization

• Design, build, test and iterate on AI agents in partnership with FDEs using Cresta’s internal tools and the latest technologies to deliver the highest customer ROI

• Lead customer relationships and act as the primary point of contact for AI Agent. Help prospects and customers move faster to ensure we can deliver quickly and effectively.

• Facilitate workshops and design sessions with customer stakeholders to align on agent use cases, workflows, and success criteria while gathering feedback to improve the AI agent platform

• Work closely with FDEs to ensure smooth implementation, build new capabilities as needed and provide feedback and improvements to our broader platform

• Improve our playbooks for agent development and customer deployment

What We’re Looking For:

• 5+ years of experience in Technology Consulting, Implementations, Product, or Customer Success roles, ideally working closely with AI or LLM first products

• Hands-on work style – curiosity with a bias for action. You anticipate needs and bottlenecks and deliver with urgency and care.

• Experience leading complex deployments, owning customer relationships (including senior customer stakeholders), and working cross-functionally

• Strong technical understanding, systems thinking and exposure to building Agents (not necessarily conversational, personal projects count!)

• Comfortable working with ambiguity and learning quickly in a dynamic startup environment

• Passion for AI, automation, and shaping the future of customer experience

Bonus Points:

• Background in product management, conversation design or forward deployed engineering roles

• Experience in a startup or high-growth SaaS environment

• Familiarity with customer support and contact center operations

Perks & Benefits:

We offer a comprehensive and people-first benefits package to support you at work and in life:

• Comprehensive medical, dental, and vision coverage with plans to fit you and your family

• Flexible PTO to take the time you need, when you need it

• Paid parental leave for all new parents welcoming a new child

• Retirement savings plan to help you plan for the future

• Remote work setup budget to help you create a productive home office

• Monthly wellness and communication stipend to keep you connected and balanced

• In-office meal program and commuter benefits provided for onsite employees

Compensation at Cresta

Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.

OTE Range: $170,000–$280,000 + Offers Equity

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You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments. This is a player-coach role with a strong bias toward leadership.

You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters , but your primary impact will come from the people you hire, the standards you set, and the culture you create.

You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction.

This role requires someone who thrives in ambiguity and is energized by building from zero to one. You'll be defining what good looks like for FDE management at Anthropic , there is no existing playbook to follow.

Responsibilities:

• Hire, develop, and retain a world-class team of Forward Deployed Engineers.
• Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member.
• Staff and oversee customer engagements across your team's portfolio, making resource allocation decisions that balance customer needs, team development, and business priorities.
• Collaborate with account teams and Engagement Managers during the pre-sales process to qualify engagements, scope work, and inform statements of work.
• Review technical architectures and code produced by your FDEs, ensuring the team ships high-quality, production-ready solutions that solve real customer problems.
• Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex issues alongside your team when needed.
• Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field.
• Define team OKRs that tie to customer success outcomes and product adoption goals.
• Create operational cadences , standups, retros, engagement reviews , that keep the team aligned.
• Partner with Product and Engineering to translate field insights into product improvements.
• Serve as the voice of the customer in internal planning.
• Travel to customer sites as needed (25-50%), particularly during engagement kickoffs and for your team's highest-priority accounts.

You May Be a Good Fit If You Have:

• 10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting.
• 2+ years of people management experience within a services/post-sales/FDE organization with a track record of hiring, developing, and retaining strong engineers.
• Experience building organizations from 0->1, not just inheriting an existing one.
• Experience working directly with enterprise customers on technical implementations, including comfort navigating complex organizational dynamics.
• Executive presence with the ability to move fluidly between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers.
• Strong written and verbal communication skills.
• Genuine excitement about building something new and defining what great looks like for a team that doesn't yet exist.

Why This Role Matters:

You'll be a founding leader of a team that defines how enterprises adopt and scale AI. Your work will directly influence Anthropic's product direction, create reusable patterns for the broader customer base, and establish Anthropic as the trusted partner for AI transformation , all while advancing the responsible development of frontier AI systems.

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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.

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As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes.

This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis.

Responsibilities

• Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.

• Lead technical discovery: map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments.

• Run day-to-day engineering execution and delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.

• Own product scoping for field engagements: define the MVP, author requirements documentation, prioritise the engineering backlog, and manage scope against success criteria as requirements evolve.

• Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders.

• Own value measurement and ROI: define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.

• Codify reusable solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.

• Navigate enterprise and regulatory complexity: security reviews, legal approvals, procurement processes, compliance requirements, and organisational dynamics.

• Manage scope and change: handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.

• Run delivery operations: sprint ceremonies, milestone reviews, and progress reporting.

• Travel to customer sites to build relationships, unblock delivery, and accelerate adoption (25–50% expected).

You May Be a Good Fit If You

• Have 5+ years of customer-facing technical delivery leadership — this could be technical engagement management, technical program management, or technical product management, founders/startups, technical-adjacent backgrounds, professional services, consulting, or enterprise software.

• Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.

• Experience in financial services, healthcare/life sciences, or pharmaceutical verticals.

• Background at a Forward Deployed Engineering company or Big 3 / Big 4 professional services and consulting firms.

• Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.

• Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making, ideally across multiple work-streams in regulated industries.

• Have executive presence — polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.

• Thrive in ambiguity and bring structure where none exists.

• Have a builder's mindset — you're here to create a function, not join one.

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

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Anthropic is building the Applied AI team to help the world's most ambitious organisations adopt Claude in ways that are transformative, safe, and lasting. Our Forward Deployed Engineers embed directly with strategic customers to ship production AI applications that solve real business problems. As this practice grows, we need a founding leader to build and scale it.

As the first FDE Manager, you'll own the team that sits at the frontier of enterprise AI deployment. You'll hire and develop a high-performing team of FDEs, set the technical and operational bar for customer engagements, and build the playbooks that turn one-off successes into repeatable patterns. You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments.

This is a player-coach role with a strong bias toward leadership. You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters — but your primary impact will come from the people you hire, the standards you set, and the culture you create. You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction.

Responsibilities

• Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set a high bar for technical talent and customer instincts.

• Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where FDEs do the best work of their careers.

• Staff and oversee customer engagements across your team's portfolio, making resource allocation decisions that balance customer needs, team development, and business priorities.

• Collaborate with account teams and Engagement Managers during the pre-sales process to qualify engagements, scope work, and inform statements of work.

• Review technical architectures and code produced by your FDEs, ensuring the team ships high-quality, production-ready solutions that solve real customer problems.

• Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex issues alongside your team when needed.

• Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field.

• Define team OKRs that tie to customer success outcomes and product adoption goals. Create operational cadences — standups, retros, engagement reviews — that keep the team aligned.

• Partner with Product and Engineering to translate field insights into product improvements. Serve as the voice of the customer in internal planning.

• Travel to customer sites as needed (25-50%), particularly during engagement kickoffs and for your team's highest-priority accounts.

You May Be a Good Fit If You Have

• 10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting.

• 2+ years of people management experience within a services/post-sales/FDE organisation with a track record of hiring, developing, and retaining strong engineers.

• Experience building organisations from 0->1, not just inheriting an existing one.

• Experience working directly with enterprise customers on technical implementations, including comfort navigating complex organisational dynamics.

• Executive presence with the ability to move fluidly between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers.

• Strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences.

• Genuine excitement about building something new and defining what great looks like for a team that doesn't yet exist.

Why This Role Matters

You'll be a founding leader of a team that defines how enterprises adopt and scale AI. Your work will directly influence Anthropic's product direction, create reusable patterns for the broader customer base, and establish Anthropic as the trusted partner for AI transformation — all while advancing the responsible development of frontier AI systems.

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