СШАGroup Product Manager, AI Foundations
3 дн. назад
243.9k–286.9k USD / годСШАLeadRemote
Group Product Manager responsible for AI foundational platform product strategy and roadmap at .
Обязанности
- Shape the multi-year vision for AI platform capabilities, identifying emerging technologies and industry shifts that inform investment priorities and architectural decisions.
- Own the end-to-end product roadmap and success metrics for AI Foundations, spanning model infrastructure, context and knowledge primitives, integration frameworks, and evaluation systems.
- Drive adoption of AI primitives across product and engineering teams by building self-serve capabilities, clear documentation, and compelling internal developer experiences.
- Lead model governance strategy, defining how evaluates, integrates, and manages large language models across cost, quality, latency, and safety dimensions.
- Partner with Engineering, Security, Legal, and Finance to ensure AI infrastructure meets 's standards for reliability, compliance, and responsible use.
Условия
- Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
- Annual base salary range (excluding equity and bonus):
- $243,865 — $286,900 USD
- Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
- US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation.
- Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at].com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial .
- Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .
Другое
- Ready to do the most impactful work of your career? At , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at .
- As a Group Product Manager on the AI Foundations team within the Platform product group, you'll own the product strategy and roadmap for the core AI building blocks that every team at depends on. This team owns the LLM Gateway, model selection, MCPs, knowledge and context primitives, evaluations, and additional AI infrastructure that powers autonomous and assisted AI experiences across the company. You'll define how builds, governs, and scales its AI capabilities, turning foundational primitives into reliable, secure, and high-leverage tools that accelerate product development and operational efficiency company-wide.
- 10+ years of product management experience, with 5+ years focused on AI/ML platforms, developer tools, or infrastructure products used by internal engineering teams.
- Proven track record of defining and shipping platform primitives or developer-facing products that achieved broad internal or external adoption.
- Deep technical fluency in LLM architectures, model serving, prompt engineering, evaluation frameworks, and agent-based systems, with the ability to engage directly with engineers on design tradeoffs.
- Demonstrated ability to lead complex, cross-functional initiatives across engineering, security, legal, and finance in a fast-moving, regulated environment.
- Builds conviction with senior and executive stakeholders around ambiguous, high-stakes platform bets, articulating complex technical strategy, investment cases, and tradeoffs in clear narratives that drive alignment and resource decisions.
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.