Full Time

Head of Industries at OpenAI

Company OpenAI
Location San Francisco
Salary $385K – $405K • Offers Equity
How You'll Work onsite
Level executive
Sector Technology
Posted Posted 0 days ago

Job Description

Compensation

$385K – $405K • Offers Equity

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 Role

As Head of Industries, you will serve as a second-line sales leader responsible for our Financial Services, Healthcare, and Life Sciences verticals.

You will set the strategy for how we win in regulated industries, lead and develop senior leaders across those businesses, and partner cross-functionally to ensure OpenAI can scale durable, compliant growth in some of the world’s most complex customer environments.

Key Responsibilities

  • Lead and develop the senior leaders responsible for Financial Services, Healthcare, and Life Sciences, raising the bar on execution, talent, and culture across the portfolio.
  • Build a high-accountability leadership operating model with strong inspection rhythms, talent reviews, and coaching mechanisms that scale through frontline and second-line leaders.
  • Own the vertical GTM strategy for regulated industries, including segmentation, account prioritization, coverage design, and investment allocation.
  • Shape how OpenAI lands, expands, and retains customers in highly regulated markets, balancing growth objectives with risk management and long-term platform adoption.
  • Establish rigorous forecasting, pipeline inspection, and business review cadences that create visibility, predictability, and fast decision-making.
  • Drive execution on complex, multi-stakeholder deals with senior executives, procurement, legal, security, and compliance stakeholders across large enterprises.
  • Bring deep pattern recognition in regulated-industry sales motions, helping teams navigate governance, data sensitivity, model risk, and implementation complexity.
  • Partner closely with product, solutions, legal, policy, security, and finance teams to remove blockers and design scalable approaches for regulated customers.
  • Represent the voice of regulated-industry customers internally, influencing product priorities, messaging, packaging, and commercial strategy.
  • Partner with marketing and field teams to refine the Financial Services, Healthcare, and Life Sciences narratives and build repeatable demand-generation motions.
  • Help structure commercial frameworks, approval paths, and resource allocation decisions that align customer needs with OpenAI’s growth and risk objectives.
  • Ensure strong collaboration across pre-sales and post-sales teams so customers move from evaluation to production with clear ownership and long-term success plans.

What We’re Looking For

  • 15–20 years of experience leading enterprise sales or go-to-market organizations, with substantial time in senior leadership roles at scale.
  • Demonstrated success owning and scaling large, complex regulated-industry businesses, ideally across Financial Services, Healthcare, and/or Life Sciences.
  • Strong expertise in regulated industries and a clear point of view on how to sell, deploy, and expand in environments with high compliance and governance requirements.
  • Exceptional operating rigor, including business planning, forecasting, performance management, and data-driven decision-making.
  • A low-ego, high-standards leader who can influence across functions and build trust with executives, peers, and teams.
  • Comfort leading through ambiguity and change while building structure, clarity, and durable execution in a fast-moving environment.
  • Experience leading through multiple layers of management and developing senior leaders is strongly preferred.

Skills/experience

  • Non-negotiables:
  • Deep expertise leading teams and businesses in regulated industries, with credibility in Financial Services, Healthcare, and/or Life Sciences.
  • 15–20 years of experience in enterprise sales or GTM leadership, including meaningful experience managing through multiple layers of leadership.
  • Proven ability to build strategy and operating cadence for complex, consultative, and compliance-sensitive sales motions.
  • Strong talent leadership, with a track record of hiring, coaching, and elevating senior leaders and building high-performing organizations.
  • Strong Preferences:
  • Experience in AI, cloud, platform, or other highly technical product environments.
  • Experience influencing product, legal, risk, or commercial decisions based on customer needs in regulated markets.
  • Experience with consumption-based and platform sales models.
  • Coachables/Nice to Have:
  • Direct OpenAI experience is not required if the candidate can quickly build fluency in AI platforms and articulate business value credibly.
  • Experience working across both high-growth and large-scale enterprise environments.

XML job scraping automation by YubHub

Similar Jobs

Full-Time

Product Manager, Public Sector GenAI Test & Evaluation (T&E)

Scale
San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC
More Info
Full Time

Software Engineer, Inference – Performance Optimization

OpenAI
San Francisco
More Info
Full Time

Program Manager, Partner Operations

OpenAI
San Francisco
More Info
Full-Time

Manager of Applied AI Architecture, Enterprise Tech (Cyber)

Anthropic
New York City, NY; San Francisco, CA | New York City, NY; Seattle, WA
More Info
Full-Time

Head of Resilience Operations, Global Safety, Intelligence & Security

Anthropic
Boston, MA; San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC
More Info
Full-Time

Director, Revenue Accounting Operations – Program Management

Anthropic
San Francisco, CA | Seattle, WA
More Info

Receive the latest articles in your inbox

Join the Houtini Newsletter

Practical AI tools, local LLM updates, and MCP workflows straight to your inbox.