обновлено 3 дня назад
Product Manager (AI Infrastructure)
165 000 - 330 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Manager (AI Infrastructure): Building the developer experience for deploying and operating machine-learning models in production across CLI, SDKs, console, onboarding, model discovery, and deployment workflows with an accent on developer tooling, API-first design, and self-serve AI infrastructure. Focus on designing deployment lifecycles, progressive delivery controls, multi-model applications, and agent-first workflows while reducing deploy-and-operate friction for customers.
Location: Hybrid in San Francisco or New York, United States
Salary: $165,000–$330,000 per year, plus equity
Company
Baseten provides AI inference infrastructure and developer tooling that helps AI companies bring machine-learning models into production.
What you will do
- Own the developer experience for deploying and iterating on machine-learning models, from initial sign-up to maintained production deployments.
- Make the CLI and SDKs the primary development surfaces and unify the CLI, console, Truss, configuration files, and model code into a coherent workflow.
- Improve onboarding, model discovery, deployment progress visibility, and error handling through the Model Library and first-deploy experience.
- Own deployment lifecycle capabilities including environment promotion, version history, artifact and model registries, reproducible deployments, canary releases, shadow deployments, A/B testing, scheduled promotion, and rollback.
- Define developer experience for multi-model applications, multimodal agents, and applications built with Chains.
- Use customer conversations to turn deployment and operations friction into a self-serve product roadmap.
Requirements
- 5+ years of experience building developer-facing or technical products as a product manager or product-minded engineer.
- Previous hands-on engineering experience building developer tools such as SDKs, CLIs, APIs, or platform surfaces.
- Demonstrated experience shipping and owning developer tools or developer products.
- Strong understanding of developer experience across CLI and user interfaces, with experience simplifying complex workflows.
- Strong opinions on CLI, API-first, and agent-first design, treating coding agents as first-class users.
- Technical depth to build trust with engineers, conduct rigorous customer research, and ship products quickly.
Nice to have
- Experience with machine-learning infrastructure, developer tools, or API products.
- Hands-on experience deploying and serving machine-learning models.
Culture & Benefits
- Competitive compensation with meaningful equity grants.
- Flexible PTO and a company-wide Winter Break when offices are closed from Christmas Eve to New Year's Day.
- Paid parental leave and a fertility and family-building stipend through Carrot.
- For U.S. employees: 100% medical, dental, and vision insurance coverage for employees and dependents, plus a company-facilitated 401(k).
- Exposure to a variety of machine-learning startups and related learning and networking opportunities.
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