What are the responsibilities and job description for the Product Manager position at Evlo AI?
About The Role
The role owns the product lifecycle end-to-end: discovery, prioritization, roadmap definition, and delivery for a B2B data platform serving engineering and analytics teams at enterprise scale.
You will sit at the intersection of engineering, design, and go-to-market - translating customer problems into prioritized requirements, making hard scope tradeoffs, and driving cross-functional execution from spec to launch.
Key Responsibilities
The role owns the product lifecycle end-to-end: discovery, prioritization, roadmap definition, and delivery for a B2B data platform serving engineering and analytics teams at enterprise scale.
You will sit at the intersection of engineering, design, and go-to-market - translating customer problems into prioritized requirements, making hard scope tradeoffs, and driving cross-functional execution from spec to launch.
Key Responsibilities
- Own the product roadmap for a core platform area, balancing technical debt, customer commitments, and net-new capability investments
- Drive discovery through customer interviews, win/loss analysis, and usage data in Amplitude and SQL to validate problems before writing a single requirement
- Write crisp product specs, PRDs, and success metrics; make explicit prioritization decisions and defend them with data in quarterly planning
- Partner daily with engineering leads to break down epics, sequence sprints, and remove execution blockers across a 10-15 person squad
- Define and instrument product KPIs - activation, retention, feature adoption - and report progress to leadership with clear narratives
- Coordinate launches with marketing, sales enablement, and customer success, including positioning, pricing input, and rollout sequencing
- Run beta programs with design partners, synthesize feedback, and iterate quickly between releases
- 3-6 years of product management experience, ideally with B2B SaaS or developer-facing/technical products
- Demonstrated ability to work directly with engineers on technical topics - API design, data models, system tradeoffs - without needing translation
- Hands-on analytical skills: SQL fluency and comfort pulling your own data rather than waiting on analytics
- Track record of shipping products through multiple full lifecycle launches, including post-launch iteration based on metrics
- Strong written communication: specs, strategy docs, and exec updates that are clear, concise, and decision-oriented
- Bachelor's degree in a technical field or equivalent practical experience
- Bonus: experience with data infrastructure products (ETL, pipelines, observability), PM experience at a startup past Series B, or technical background as an SWE or solutions engineer