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Executive Director, AI Platforms – Digital Methodology & Solutions

Sunnyvale, California, United States

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About Synopsys

Synopsys powers the innovations that are transforming how the world lives, works, and connects. Our technology is foundational to the Era of Pervasive Intelligence,enabling everything from autonomous systems to advanced AI computing.

This role sits at the intersection of AI, semiconductor design, and platform transformation,with the mandate to define and scale the next generation of AI-driven digital methodologies across the industry.

The Opportunity

We are seeking a senior executive to lead the strategy and execution of AI platforms that redefine how IPs are designed, verified, and delivered. This is a visible, high-impact leadership role with enterprise scope, external customer influence, and the ability to shape Synopsys' long-term AI and platform direction.

The successful candidate will combine deep technical credibility, executive leadership, and a platform mindset to scale agentic and generative AI from early innovation to durable, industry-leading solutions.

What You'll Do

• Define and lead the enterprise strategy for AI-driven digital methodologies, shaping how AI transforms semiconductor design, verification, and IP workflows at scale.

• Own the end-to-end AI platform vision and roadmap, spanning RTL through signoff, with a focus on scalability, reliability, and long-term evolution.

• Translate corporate and product strategy into a multi-year execution plan with clear priorities, outcomes, and business impact.

• Build, lead, and grow a senior multidisciplinary organization of AI, software, and domain experts, setting direction, culture, and standards for excellence.

• Partner closely with product, engineering, and business leaders to ensure AI platforms are deeply integrated, widely adopted, and value-realized.

• Serve as a senior external representative of Synopsys, engaging directly with customers, partners, and industry stakeholders on AI architecture and strategy.

• Establish strong governance, security, and responsible AI practices across all AI platforms and deployments.

• Champion an AI-first mindset by embedding AI into how teams operate, make decisions, and deliver innovation.

Impact You'll Have

• Establish the next generation of AI-driven framework to improve efficiency and quality of IP development and deployment

• Help position Synopsys IP as the clear industry leader in AI-enabled digital design platforms.

• Deliver step-change improvements in engineering productivity, predictability, and scalability.

• Enable new AI-driven products and platform capabilities that expand customer value and revenue opportunity.

• Create a durable AI platform foundation that compounds in impact over multiple product generations.

• Develop technical and leadership talent that strengthens Synopsys' long-term competitive advantage.

• Build trusted, executive-level relationships with leading semiconductor and systems companies worldwide.

What You Bring

• Master's or Ph.D. in Computer Science, Electrical Engineering, Data Science, or a related field.

• 18+ years of experience across digital design, SoC/IP development, and advanced AI systems, including multiple production-scale deployments.

• 8+ years in executive or senior leadership roles with ownership of large teams and complex, cross-organizational initiatives.

• Proven ability to scale AI platforms from early innovation to enterprise-grade solutions.

• Deep expertise in modern AI architectures, including LLMs, agentic systems, retrieval-augmented generation (RAG), embeddings, and vector databases.

• Strong executive presence and communication skills, with the ability to influence C-level leaders, customers, and senior technical audiences.

• Experience driving transformation in highly technical, engineering-led organizations.

Leadership Characteristics

• Enterprise-level strategist with a long-term, platform-oriented perspective

• Technically credible executive who can engage deeply while leading at scale

• Trusted partner to customers, product leaders, and executive stakeholders

• Decisive leader comfortable navigating ambiguity and complexity

• Builder of leaders, teams, and enduring organizational capability

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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

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:€175.000-€190.000 EUR

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If you're looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience, and improve people's lives: this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

To meet the growing needs of the Customer analytics business, the team is looking for a self-motivated, technically proficient individual to craft and shepherd coherent solutions. This will require collaboration with a range of stakeholders to clarify requirements, establish pragmatic approaches, and support and articulate decisions over time. You will join a cloud architecture team that works closely with engineering teams and other architects across the organisation.

Responsibilities

Technical Requirements

• Extensive experience with Google Cloud Platform (GCP), specifically BigQuery, Vertex AI, Dataflow, Dataproc, Cloud Run, CloudSQL, Spanner and Apigee.

• Security & Networking: Strong understanding of cloud security protocols, IAM, encryption, and complex network topologies.

• Data Management: Proficiency in Enterprise Data Platforms, Data mesh architecture and data-driven architectural patterns.

• DevOps Tooling: Hands-on experience with GitHub, SonarQube, Checkmarx, and FOSSA.

• Software Engineering: Strong background in building Web Services and maintaining Clean Code standards.

Technical Leadership & Strategy

• System Design: Work with engineering teams to refine system designs, evangelising for horizontal scalability, resilience, and Clean Code compliance.

• Product Collaboration: Partner with Product Managers to decompose complex business needs into incremental, production-ready user stories within an Agile/Sprint methodology.

• Architectural Governance: Assess and document the rationale and tradeoffs for technical decisions; contribute to the broader Cloud Architecture team to improve global practices.

• DevOps Excellence: Utilise and improve CI/CD pipelines using GitHub and automated testing/security tools to maximise deployment efficiency and minimise risk.

Cloud, Networking & Security

• Secure Infrastructure: Serve as the primary architect for cloud solutions, ensuring 'Secure-by-Design' principles are applied across Google Cloud services (Dataflow, Dataproc, CloudRun, CloudSQL, Spanner).

• Advanced Networking: Design and optimise cloud networking configurations, including VPCs, Service Controls, Load Balancing, and Private Service Connect to ensure high availability and low latency.

• Cyber Security Oversight: Integrate security scanning and compliance into the architecture (utilising Checkmarx, SonarQube, and FOSSA). Proactively address vulnerabilities in distributed systems and AI models (e.g., OWASP Top 10 for LLMs).

• API & Data Contracts: Bolster 'Data as a Product' practices by enforcing strict API standards and data contracts to ensure seamless, secure interoperability between services.

• FinOps & Cost Optimisation: Drive fiscal responsibility by right-sizing GCP resources and optimising Generative AI architectures (token management/model selection) to maximise ROI.

• SRE & Performance Tuning: Apply Site Reliability Engineering principles to ensure high availability, minimise system latency, and lead root-cause analysis for complex, distributed system failures.

• DevSecOps & Problem Solving: Integrate security automation into CI/CD pipelines to ensure 'Secure-by-Design' deployments while solving complex architectural trade-offs between speed, scale, and risk.

• Continuous Learning: Stay at the forefront of AI research, specifically regarding autonomous agents, prompt engineering etc

Nice to Have

• AI development tools and frameworks (e.g., LangChain, LangGraph, or Agent Dev Kit) to accelerate the delivery of intelligent applications.

• Agentic & GenAI Design: Lead the architectural design of Agentic AI systems (multi-agent orchestration) and Generative AI solutions, including Retrieval-Augmented Generation (RAG) patterns and LLM integration.

• Kubernetes (GKE): Experience managing containerised workloads at scale.

• Kafka/Event-Driven Design: Experience with high-throughput messaging and event-driven architectures.

• MLOps: Familiarity with the end-to-end lifecycle of machine learning models in production.

Qualifications

You'll have...

• Requires a bachelor's or foreign equivalent degree in computer science, information technology or a technology related field

• 5+ years of Software engineering experience using Java or Python developing services (APIs, REST, etc.)

• 2+ years of experience with Google Cloud Platform or other cloud service provider (AWS, Azure, etc.) and associated cloud components.

• Experience designing/architecting and running distributed systems in a production environment

• STRONG communications skills and cognitive agility - ability to engage in deep technical discussions with customers and peers, become a trusted technical advisor, and maintain good documentation

Even better, you may have...

• Master's degree in computer science, electrical engineering or a closely related field of study

• Familiarity with a breadth of programming languages, platforms, and systems

• Experience with asynchronous messaging and eventually consistent system design

• An agile, pragmatic, and empirical mindset

• Critical thinking, decision-making and leadership aptitudes

• Good organisational and problem-solving abilities

• MDM, Entity Resolution, Customer Analytics and Marketing Analytics experience is a huge plus.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• Immediate medical, dental, and prescription drug coverage

• Flexible family care, parental leave, new parent ramp-up programs, subsidised back-up child care and more

• Vehicle discount programme for employees and family members, and management leases

• Tuition assistance

• Established and active employee resource groups

• Paid time off for individual and team community service

• A generous schedule of paid holidays, including the week between Christmas and New Year's Day

• Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits, click here: Benefit Summary

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the team

The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems.

About the role

We are looking for a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership (Solutions Architects, Specialists, and Partner teams).

This role goes beyond individual deal support,you will shape strategy, define engagement models, and build repeatable systems that scale across AWS globally. You will work across pre- and post-sales, guiding complex enterprise customers from ideation to production while enabling AWS and partners to independently drive deployments.

You will combine deep technical expertise, strong judgment, and ecosystem leadership to maximize impact across a portfolio of high-priority opportunities.

In this role, you will:

Strategic AWS Engagement & Influence

• Serve as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams.

• Influence joint account strategy and technical direction for high-priority opportunities.

• Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices.

• Proactively identify and drive net-new opportunities and high-impact use cases across the AWS ecosystem.

Complex Deal Leadership & Execution

• Lead technical strategy for large, ambiguous, and high-stakes enterprise engagements.

• Guide customers from early ideation through architecture design, prototyping, and production deployment.

• Act as a technical decision-maker and escalation point, de-risking complex implementations.

• Apply strong judgment to prioritize opportunities and allocate limited technical resources for maximum impact.

Solution Architecture & Hands-On Building

• Design and communicate end-to-end AI architectures leveraging OpenAI and AWS services.

• Build and guide development of prototypes, POCs, and reference implementations to accelerate adoption.

• Establish best practices for scalable, secure, and production-ready GenAI systems.

• Ensure solutions are designed for repeatability, extensibility, and partner-led delivery.

Ecosystem Enablement & Scale

• Enable AWS and partners through scalable technical motions (workshops, playbooks, reference architectures, demos).

• Develop reusable solution patterns and assets that can be deployed independently by AWS teams and SIs.

• Mentor and uplift partner technical teams, accelerating their path to self-sufficiency.

• Scale impact by working through GSIs, RSIs, and ISVs, rather than relying solely on direct engagement.

Cross-Functional Leadership & Feedback

• Partner closely with Alliances, Product, Engineering, GTM, and Enablement to align on strategy and execution.

• Act as a bridge between field and product, delivering high-signal insights to inform roadmap and prioritization.

• Contribute to internal knowledge systems and help define standards, patterns, and playbooks for the ADE function.

You’ll thrive in this role if you:

• Have 8+ years of technical consulting (or equivalent) experience, managing C-level technical and business relationships with complex global organizations.

• Operate as a technical leader and systems thinker, not just an individual contributor.

• Balance hands-on building with strategic influence and scale.

• Know when to go deep technically vs. enable others to execute.

• Build trust quickly with engineers, architects, and executives alike.

• Default to creating repeatable patterns, not one-off solutions.

• Are comfortable owning ambiguous, high-visibility problem spaces.

• Take a long-term, ecosystem-oriented view of impact.

• Are motivated by driving customer and partner success at scale.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdraw

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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:

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:

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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Your influence will extend beyond a single feature, shaping service boundaries, reliability posture, and standards that other solutions build on.

Responsibilities

• Own the architecture for chat back-end services (Node/TypeScript), defining service boundaries, data contracts, and scalability targets
• Lead cross-team design reviews; author ADRs and RFCs that become reference standards for AI-chat and ingestion work
• Build and harden event-driven pipelines that capture chat telemetry, evaluation traces, and LLM feedback loops; expose them via self-service analytics endpoints
• Champion reliability,define error budgets, introduce testing strategy, and steer incident-response playbooks for conversational workloads
• Mentor senior and Junior engineers; grow their system-design skills and foster a high-trust, low-ego culture
• Partner with Product, Design, and Data Science to translate ambiguous goals (e.g., “multi-step reasoning with tool calling”) into incremental, testable action items
• Represent Elastic in open-source AI communities (LangGraph/LangChain, MCP/A2A) through design proposals, blog posts, and conference talks

What You Bring

• 10 + years building distributed, production SaaS services,at least 5 years leading large-scale Node/TypeScript or similar back-end stacks
• Deep expertise in distributed systems fundamentals,shard routing, consensus, eventual consistency, back-pressure, and circuit-breaker patterns
• Demonstrated success designing high-throughput, low-latency APIs (gRPC / REST / WebSocket),including streaming responses and resumable sessions
• Hands-on experience with observability: OpenTelemetry, log/metric pipelines, synthetic checks, and SLO dashboards
• Exposure to LLM tooling (LangChain/LangGraph, OpenAI function calls, vector-search, RAG orchestration) and enthusiasm for advancing GenAI architectures
• Clear, persuasive written communication,your ADRs and RFCs set the standard others emulate

Benefits

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

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Key responsibilities include defining and executing the EMEA partner enablement strategy, designing and delivering scalable enablement programs, owning the regional enablement roadmap, driving measurable ecosystem growth, and partnering closely with regional sales, partner leadership, marketing, and global enablement teams.

The ideal candidate should have 7+ years of experience designing and scaling learning or enablement programs within enterprise technology, cloud, or data ecosystems, and a solid understanding of modern Data & AI architectures, including data warehousing, data engineering, machine learning, and generative AI concepts.

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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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