In this role, you will lead and develop QA teams and vendors, establish consistent QA standards, quality gates, and automation practices across platforms using Agile and SAFe. You will define and execute a risk-based QA strategy aligned with business objectives, regulatory timelines, release criticality, and customer impact.

Key responsibilities include:

• QA Leadership & Governance: Lead and develop QA teams and vendors
• Quality Strategy & Planning: Define and execute a risk-based QA strategy
• Testing & Release Assurance: Oversee manual and automated testing (unit, integration, performance), defect management, and release approvals
• Process Improvement & Audits: Drive continuous improvement through metrics, trend analysis, internal/external audits, and corrective actions
• Cross-functional Collaboration: Partner with Product, Development, Security, Privacy, Operations, Legal, Marketing, Governance, Infrastructure, and PMO teams

The ideal candidate will have a Bachelor's level degree in Computer Science, Data Science, Information Technology, Information Systems, Applied Mathematics, Electronics, or Electrical Engineering, or equivalent relevant work experience in the industry. You should have at least 8 years of relevant work experience in the IT industry, with proven leadership in IT QA, software testing, and regulatory compliance within enterprise, customer-facing environments.

Required skills include:

• Selenium (Java), Serenity Reports, Maven
• Python and/or TypeScript, Locust
• Serenity Reports, Maven
• JMeter, LoadRunner

Preferred skills include:

• Strong people leadership, strategic thinking, problem-solving, communication, service management, and the ability to manage ambiguity in fast-paced environments
• Detail-oriented, organized, data-driven, and committed to continuous improvement

In return for your expertise, we offer a competitive base salary, regional bonus, manager lease car program, industry-leading benefit plans, paid time off, company-paid short-term and long-term disability, 401K plan with company match, and relocation assistance.

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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.

You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organisational complexity that comes with deploying AI agents in enterprise environments.

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.

• 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 workstreams 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.

Strong Candidates May Also Have:

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

• Background at a Forward Deployed Engineering company or professional services and consulting firms.

• Exceptional understanding of LLM capabilities and limitations.

• Experience with regulated industries and compliance requirements.

• Experience managing delivery teams with embedded engineers at customer sites.

• Familiarity with AI agent frameworks, tool use patterns, and orchestration architectures.

Annual compensation range for this role is €190,000-€215,000 EUR.

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Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• $232K – $350K • Offers Equity • Multiple Ranges

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.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team

OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.

About the role

As an Account Director focused on Financial Services you will own executive-level relationships with leading Financial Services organizations. You’ll help these companies safely and effectively deploy OpenAI’s technology to accelerate financial data analysis, automate backend operations, drive AI-powered research, and personalize customer engagement.

This role blends literacy, technical depth, business acumen, and relationship-driven enterprise sales. You will collaborate closely with researchers, engineers, and financial services solution strategists to design secure, compliant, and high-impact AI deployments.

This role is based in New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.

In this role, you’ll:

• Manage a focused portfolio of Financial Services accounts, developing long-term strategic account plans

• Lead complex, multi-stakeholder sales cycles spanning banks, hedge funds, and asset managers

• Partner with solutions and research engineering to design pilots that demonstrate measurable business impact

• Collaborate with compliance, privacy, and security teams to ensure responsible deployment of AI in regulated environments

• Own a revenue and consumption target; manage forecasts and pipeline reporting

• Monitor industry and regulatory trends to guide customer and product strategy

• Represent OpenAI at industry conferences and thought-leadership events (e.g., Money2020)

• Partner cross-functionally with marketing, partnerships, and communications to build the Financial Services go-to-market motion

You might thrive in this role if you:

• 14+ total years selling complex enterprise software or platform-as-a-service solutions

• 4+ years selling to Financial Services

• Proven success achieving annual revenue targets >$2M+ in regulated industries

• Experience managing C-suite relationships

• Strong understanding of financial services workflows

• Demonstrated ability to design and execute complex deal and partnership strategies

• Are customer-centric and can translate complex business needs into transformative AI solutions

• Are a builder who enjoys designing scalable systems and repeatable sales motions from the ground up

• Are a strategist who anticipates industry shifts and guides enterprise customers through them

• Are energized by ambiguity and motivated to create structure and clarity across complex, cross-functional engagements

About OpenAI

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

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