Related skills
product management analytics data engineering data science aiπ Description
- Own data products lifecycle from discovery to launch and improvement.
- Define vision/strategy for data driven features, analytics platforms, or AI/ML.
- Translate customer and business needs into product requirements and roadmaps.
- Collaborate with engineering and data science to scope and deliver high-impact solutions.
- Prioritize by customer value, business impact, and feasibility.
- Define success metrics and use data to guide iterations.
π― Requirements
- Actuarial or data science background strongly preferred.
- 3β5+ years in actuarial/analytical roles or B2B SaaS.
- Strong ability to work across technical and non-technical teams.
- Ability to define, launch, and iterate on products used by real customers.
- Experience building data products, analytics platforms, or ML/AI features.
- Experience partnering with data science or data engineering teams.
π Benefits
- Base salary $200-220K USD, plus annual bonus and RSUs.
- Medical, dental, vision, disability, life, AD&D, 401k matching.
- PTO and sick leave; 16 weeks parental leave; flexible schedule.
- Catered lunches, happy hours, pet-friendly spaces, tech stipend.
- $1,000/year for professional development; tuition reimbursement.
- We sponsor visas; check with Recruiting.
π Visa sponsorship
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