4 дня назад
Director of Product Management, Enterprise Core Platform (AI)
273 600 - 342 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director of Product Management, Enterprise Core Platform (AI): Owns the strategy and roadmap for SGP, an AI platform for building, deploying, evaluating, and operating applications in customer environments with an accent on developer experience, platform capabilities, and production performance. Focus on aligning platform engineering and forward deployed teams, making architectural and investment tradeoffs, productizing field-developed capabilities, and leading the PM team.
Location: San Francisco, CA or New York, NY, United States
Base salary: $273,600–$342,000 USD per year, plus potential equity and benefits.
Company
develops reliable AI systems, data, and full-stack technologies that help enterprises and governments build, deploy, and oversee AI applications.
What you will do
- Own the strategy and roadmap for the SGP core platform across developer experience, customer capabilities, and field-developed functionality.
- Define product requirements, user journeys, prototypes, success measures, and post-launch improvements.
- Partner with platform engineering, forward deployed PMs, customers, and business leaders to align capabilities, rollouts, and dependencies.
- Make product scope, sequencing, investment, and architectural tradeoffs across environments.
- Build, hire, coach, and lead the PM team while staying involved in consequential product decisions.
Requirements
- Experience owning platform, infrastructure, or developer products from problem definition through launch and sustained production use.
- Experience managing and developing product managers across multiple related product areas.
- Strong product judgment, prioritization, written communication, and stakeholder alignment skills.
- Technical depth in APIs, runtime behavior, identity and authorization, deployment, observability, and data isolation.
- Ability to reason through architectural tradeoffs and drive adoption across teams with different needs and constraints.
Nice to have
- Experience with AI platforms, agent runtimes, workflow orchestration, evaluation, datasets, human review, or production AI observability.
- Experience with regulated industries or on-premises, air-gapped, or classified environments.
- Experience turning customer-specific capabilities into reusable platform products.
Culture & Benefits
- Comprehensive health, dental, and vision coverage.
- Retirement benefits, learning and development stipend, and generous paid time off.
- Potential commuter stipend and equity compensation for eligible roles.
- Inclusive equal opportunity workplace with reasonable accommodation support.
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