4 часа назад
Product Manager (AI/ML)
200 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Manager (AI/ML): Defining and delivering products for a data platform powering machine learning applications with an accent on technical product strategy, developer experience, performance, and reliability. Focus on translating data and AI/ML user needs into specifications, coordinating complex releases, and evaluating outcomes through metrics and experimentation.
Location: San Francisco, United States; onsite in the office 5 days a week
Salary: $200,000–$250,000 per year plus equity
Company
is building a data platform for machine learning applications, focused on reducing complexity, latency, and scale barriers through high-performance developer tools.
What you will do
- Define and execute product priorities with the VP of Product, co-founders, and engineering.
- Understand user needs across data and AI/ML teams and translate feedback into product requirements.
- Drive end-to-end delivery, including scoping, milestones, project management, and release coordination.
- Partner with engineering on developer experience, performance, reliability, integrations, and other technically complex areas.
- Write product specifications, make tradeoffs, and define success metrics based on business and customer outcomes.
- Support pricing analysis, packaging, and feature-scoping initiatives as the company scales.
Requirements
- 5+ years of product management experience with technical products such as developer-facing tools, platforms, infrastructure, data systems, or similar products.
- Bachelor’s degree in Computer Science, Engineering, or a quantitative discipline.
- Strong technical acumen, including the ability to discuss architecture, tradeoffs, and system constraints with engineering teams.
- Demonstrated ability to ship complex products in a fast-paced, ambiguous environment.
- Willingness to handle both product management and project management responsibilities.
- Strong written and verbal communication skills for technical and non-technical audiences.
Nice to have
- Ability to write Python for analysis, prototyping, or debugging.
- Experience with data science, analytics, experimentation, or performance-driven products.
- Familiarity with distributed systems, query engines, compilers, or data infrastructure.
- Experience building for enterprise customers and balancing platform integrity with customer needs.
Culture & Benefits
- High autonomy, ownership, and direct collaboration with product, founding, and engineering leadership.
- Medical, dental, and vision insurance, plus FSA and HSA options.
- Retirement savings and flexible commuter benefits.
- 15 company holidays and 15 days of personal time off annually.
- Daily lunch and dinner, stocked office snacks and drinks, and covered Uber or Lyft rides home when working late.
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