Product Manager - Engineering
New
T
TechstarsSoftware platforms
Remote (United States)Full-TimeMiddle
Salary120,000 - 140,000 USD per year
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Job Details
- Experience
- 4+ years of product management experience in software
- Required Skills
- Product ManagementJiraStakeholder managementChange Management
Requirements
- Bring 4+ years of product management experience in software.
- Have experience working across multiple internal tools or platforms, ideally.
- Turn loosely defined problems or requests into documented, scoped plans that engineering teams can execute.
- Work directly with engineers, understand technical tradeoffs, read tickets, and push back on scope when appropriate.
- Demonstrate change management skills, including aligning stakeholders through difficult transitions.
- Write clear PRDs, tickets, and asynchronous updates that do not require meetings to explain.
- Be proficient with Jira and agile/scrum processes, sprint planning, capacity management, and release coordination.
- Communicate effectively with stakeholders ranging from executive leadership to program associates.
- Manage multiple workstreams amid shifting priorities while maintaining attention to detail.
- Define success metrics, instrument features, and assess whether they worked.
Responsibilities
- Translate ambiguous stakeholder requests into engineering-ready work plans with clear scope, acceptance criteria, open questions, and documented tradeoffs.
- Own day-to-day product delivery across Techstars internal systems and supporting tools.
- Run the product lifecycle from intake and discovery through requirements, sprint management, go-live coordination, and post-launch follow-up.
- Manage the Jira backlog, including sprint planning, refinement, prioritization, and keeping the team focused and unblocked.
- Lead change management as Techstars moves away from legacy systems.
- Guide stakeholders through changes by communicating tradeoffs, managing expectations, and supporting adoption.
- Partner with operations and program teams to understand workflow friction before specifying solutions.
- Maintain clear documentation that preserves context and institutional knowledge.
- Track feature usage and adoption, and flag what is not working so the team can iterate.
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