Related skills
machine learning ai apis infrastructure mlπ Description
- Own product areas end-to-end from discovery to delivery.
- Prioritize as the market and constraints evolve quickly.
- Be accountable for product quality, bugs, and user-reported issues.
- Work with highly technical customers to understand workflows.
- Translate complex feedback into clear product decisions.
- Prototype early and often to accelerate learning and iteration.
π― Requirements
- PM: 5+ years in fast-paced, ambiguous environments.
- Experience building products for technical users (developers, ML engineers, infra).
- Ownership & agency: self-directed, end-to-end ownership.
- Cross-functional influence: align engineers, design, GTM without authority.
- Problem-solving: balance big-picture with hands-on execution.
- Familiarity with LLMs, evaluation, training pipelines, or AI dev tools.
π Benefits
- Competitive salary and equity package.
- Health insurance.
- Transportation allowance.
- Leisure / personal activities allowance.
- Flexible PTO.
- Visa sponsorship possible (including relocation to Paris).
π Relocation support
π Visa sponsorship
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