This is a highly specialized role sitting at the intersection of model behaviour and product quality. You'll be the expert on how Claude behaves inside Claude Code, owning and maintaining the system prompts that ship with each new model snapshot. When a new model drops, you're the person making sure Claude Code feels right within days , not weeks.

You'll work closely with Model Quality and Research to understand emergent behaviours and behavioural regressions, and with product and safeguards teams to respond quickly when something goes wrong.

This role requires someone who can move fast on behavioural tuning while maintaining rigor, and who cares deeply about the end-to-end developer experience Claude Code delivers. You'll need strong prompting skills, excellent judgment about model behaviours, and the collaborative skills to work across product, safeguards, and research teams.

Responsibilities:

• Own Claude Code's system prompts for each new model snapshot, ensuring behaviours feel consistent and well-tuned
• Review production prompt changes and serve as a resource for particularly challenging prompting problems involving alignment and reputational risks
• Lead incident response for behavioural and policy concerns, coordinating with product and safeguards teams
• Scale prompting and evaluation best practices across claude code and product teams.
• Deliver product evaluations focused on model behaviours
• Define and streamline processes for rolling out prompt changes, including launch criteria and review practices
• Create model-specific prompt guides that document quirks and optimal prompting strategies for each release
• Collaborate with product teams to translate feature requirements into effective prompts

You may be a good fit if you:

• Are a power user of agentic coding tools and have strong intuition about model capabilities and limitations
• Thrive in high-intensity environments with fast iteration cycles
• Take full ownership of problems and drive them to completion independently
• Are skilled at creating and maintaining behavioural evaluations
• Have strong technical understanding, including comprehension of agent scaffold architectures and model training processes
• Are an experienced coder comfortable working in Python and Typescript
• Have independently driven changes through production systems with strong execution and responsiveness
• Have experience translating user feedback and product needs into coherent prompts and behavioural specifications
• Excel at working across organisational boundaries, collaborating effectively with teams that have differing goals and perspectives
• Have experience translating user feedback and behavioural observations into coherent prompt changes and specifications
• Care deeply about AI safety and making Claude a healthy alternative in the AI landscape

Annual compensation range for this role is $300,000-$405,000 USD.

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You will systematically identify high-priority behavioural improvements, coordinate across Research, Product, and Safeguards teams, and accelerate our ability to ship well-aligned models.

Key responsibilities include defining behavioural defaults and steerability constraints, developing and maintaining taxonomies of model behaviours across capabilities, identifying, triaging, and prioritising behaviour issues and opportunities, and amplifying alignment research breakthroughs.

To succeed in this role, you will need to have a deep passion and curiosity for AI and LLMs, a track record of delivering products and features to end-users, strong user empathy and the ability to synthesise vague or contradictory feedback into actionable priorities, and a strong grasp of ML concepts.

The ideal candidate will be a first-principles thinker with the ability to navigate and execute amidst ambiguity, flexing into different domains based on the business problem at hand and finding simple, easy-to-understand solutions.

This role offers a competitive compensation range of $305,000-$385,000 USD per year, with a minimum education requirement of a Bachelor's degree or an equivalent combination of education, training, and/or experience.

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This role sits at the intersection of technical leadership, customer engagement, product strategy, and internal enablement. You'll work directly with CIOs, CTOs, Chief Underwriting Officers, Chief Claims Officers, and technology leaders at major insurers and brokers to design solutions that address their most critical challenges,from underwriting automation and claims processing to fraud detection and customer experience. Your insights will flow directly to Product and Research, shaping Claude's roadmap for insurance. Equally important, you'll enable Anthropic's GTM teams with deep domain expertise, thought leadership content, and strategic guidance.

With AI poised to transform insurance operations and the industry seeking partners who understand their unique challenges, you'll play a pivotal role in establishing Anthropic as the AI platform of choice for insurers worldwide.

Responsibilities:

• Technical Evangelism & Thought Leadership: Represent Anthropic's technical vision to the insurance industry through conference keynotes, executive briefings, whitepapers, and industry advisory boards. Establish Claude as the leading AI platform for P&C, Life, and Reinsurance markets.

• Strategic Customer Engagement: Serve as executive technical sponsor for strategic insurance accounts, engaging CIOs, CTOs, Chief Underwriting Officers, Chief Claims Officers, and Heads of AI/ML on enterprise AI strategy. Build peer-to-peer relationships that position Anthropic as a strategic transformation partner.

• Product Partnership & Roadmap Influence: Translate customer requirements and competitive dynamics into product priorities. Partner closely with Product and Research to develop insurance-specific capabilities including model governance, explainability, audit logging, and regulatory compliance features.

• Pricing & Commercial Strategy: Contribute to pricing and packaging decisions with insurance market insight. Understand value drivers for different insurance segments, competitive positioning, and deal structuring that aligns with how insurers buy technology.

• Internal Enablement & Advocacy: Train and uplift Anthropic's GTM teams on insurance domain expertise, use cases, and buyer personas. Create enablement content, conduct training sessions, and serve as the internal authority on all things insurance. Influence without authority across the organisation.

• Regulatory & Compliance Navigation: Partner internally and externally to develop thought leadership regarding AI governance frameworks aligned with state insurance regulations, NAIC guidelines, and international requirements. Help customers understand model risk management, explainability requirements, and responsible AI practices for insurance.

• Ecosystem Partnership: Build technical relationships with GSIs (Deloitte, Accenture, McKinsey), cloud providers (AWS, Azure, GCP), and insurance technology vendors (Guidewire, Duck Creek, Majesco).

Requirements:

• Have 20+ years of experience in technology and/or business roles with at least 8 years in senior leadership positions (CTO, VP Engineering, Chief Architect, Chief Underwriting Officer, Head of Claims Technology, Distinguished Engineer) in insurance

• Have deep domain expertise across multiple insurance segments,P&C (personal and commercial lines), Life & Annuities, or Reinsurance,with hands-on experience building or operating mission-critical systems

• Have a strong understanding of AI/ML technologies including large language models, with the ability to engage credibly on technical architecture, model behaviour, and system design

• Have established executive networks across insurance technology leadership (CIOs, CTOs, Chief Underwriting Officers) and credibility as a thought leader in the industry

• Have deep knowledge of insurance regulatory requirements (state insurance regulations, NAIC model laws, Solvency II, Lloyd's requirements) and experience implementing compliant technology solutions

• Are skilled at translating complex technical concepts into business value propositions that resonate with both technical and business stakeholders

• Have experience influencing product roadmaps based on customer feedback and market requirements, working effectively with Product and Engineering teams

• Are passionate about responsible AI development and Anthropic's mission, with a commitment to helping insurers adopt AI safely and beneficially

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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Location

São Paulo

Employment Type

Full time

Department

About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

Our customers range from fast-growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the centre of that mission.

About the Role

The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform.

This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

This role is based in São Paulo (office 3x a week) and we provide relocation support to new employees.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realisation.

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio.

• Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them.

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points.

• Lead account-level coordination across multiple work streams, including new product activation, change management, and customer rollout and deployment planning.

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities.

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs.

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes.

• Guide value realisation and measure impact through baselines, KPI definition, and post-deployment reporting.

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement.

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business.

• Serve as the technical advisor for existing customer implementations by guiding and optimising account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work.

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behaviour, limitations, technical trade-offs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage.

• Understanding and familiarity with coding languages like Python or JavaScript, and comfort with REST APIs, SDKs, automation, CI/CD, containers, and cloud platforms.

• Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies.

• Can show a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders.

• Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges.

• Have excellent project and program management instincts and can lead multi-work stream initiatives with clarity and structure.

• Enjoy being a thought partner for C-level stakeholders while also diving deep with technical teams.

• Operate with high ownership and can manage fast decision-making, context switching, and dynamic customer needs.

• Have a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders.

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 human endeavour.

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