Related skills
azure aws gcp databricks machine learning📋 Description
- Partner with business owners to define problem vision, priorities, and end state.
- Lead ML/LLM platform workstreams from ingestion to deployment.
- Collaborate with teams and users to understand requirements and test hypotheses.
- Write detailed user stories with business rationale, requirements, and success criteria.
- Develop short- and long-term roadmaps delivering value with minimal risk.
- Partner with AI researchers to mature PoCs into production.
🎯 Requirements
- 8+ years in product management for tech, SaaS, or tech-enabled services.
- Strong AI/ML knowledge and related technologies.
- Experience using data and primary research to inform design.
- Experience with Agile teams, Jira, and SDLC.
- APIs, DevOps, and cloud infra knowledge (Databricks, AWS, GCP, Azure).
- Excellent ability to communicate trade-offs to non-technical stakeholders.
🎁 Benefits
- Flexible schedules; remote work available.
- Health, dental, vision coverage paid up to 80%.
- 21 days PTO in first year.
- 2 paid volunteer days and 11 holidays.
- 12 weeks parental leave for new parents.
- 401(k) with up to 4% match; stock options.
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