Product Manager - Engineering
Techstars is hiring a Product Manager - Engineering for a remote role. It pays $120k-$140k a year and Level rates it ; you can apply on Techstars.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- The posting lists this role as remote.
- Level classifies it as a mid-level role.
- Level lists 2 other open roles at Techstars.
- The role was posted in the last few days.
AI in this role
Job Type: Full-Time | Location: Remote (United States)
Techstars is undergoing a significant platform transformation: consolidating legacy systems into Techstars OS, sunsetting older tools, and leaning into AI to run our business lines more effectively. As Product Manager, you will be the operational center of gravity for this work. The VP of Product & Engineering owns roadmap and strategy; you own the day-to-day delivery. That means taking a loosely defined stakeholder request and turning it into a clear, documented plan that engineering can build against. It also means getting stakeholders aligned, keeping them informed, and shepherding them through change, not just collecting their feedback. This role spans the full Techstars internal platform: OS, data systems, founder tools, and the integrations that connect them.
What you will do
- Translate ambiguous stakeholder requests into well-structured, engineering-ready work plans: clear scope, acceptance criteria, open questions called out, tradeoffs documented
- Own day-to-day product delivery across Techstars internal systems and their supporting tools
- Run the product lifecycle end to end: intake, discovery, requirements, sprint management, go-live coordination, and post-launch follow-up
- Manage the backlog in Jira: sprint planning, refinement, prioritization, and keeping the team focused and unblocked
- Produce clear, direct documentation that demonstrates that you understand the problem and the solution in your own words, not that you can prompt an AI to generate one.
- Lead change management as Techstars moves away from legacy systems
- Shepherd stakeholders through the full lifecycle of a change, communicating tradeoffs, managing expectations, and bringing people along
- Partner closely with the operations and program teams to understand real workflow friction before specifying solutions
- Maintain human-digestible documentation so context is captured and the team can move fast without losing institutional knowledge
- Track usage and adoption of new features and flag what is not landing so the team can iterate quickly
What you bring
- 4+ years of product management experience in software, ideally at a company where you worked across multiple internal tools or platforms, not a single product
- Proven ability to turn a loosely defined problem or request into a documented, scoped plan that an engineering team can execute on
- Strong change management instincts: you know how to get stakeholders on board with something they did not ask for, and how to hold that relationship through a difficult transition
- Experience working directly with engineers, you understand technical tradeoffs, can read a ticket, and know when to push back on scope
- Excellent written communication: your PRDs, tickets, and async updates are clear the first time and do not require meetings to explain
- Proficiency with Jira and agile/scrum processes, sprint planning, capacity management, and release coordination
- Comfort working across a wide range of stakeholders from ELT to program associates, you adjust your communication style and know how to build trust at every level
- A bias for action and equanimity under shifting priorities, you can hold multiple workstreams without losing the details
- Analytical enough to define a success metric, instrument a feature, and know whether it actually worked
Nice to have
- Experience in a startup accelerator, venture capital, or founder-services context
- Hands-on familiarity with Salesforce, Metabase, Jira, and Notion as a power user
- Experience managing a product through a legacy migration or platform consolidation
- Background working with data or operational systems, you have worked on features that help non-technical teams get value out of structured data
- Experience working at or with a small, high-autonomy engineering team
Knowledge of financial or investment data in a VC or startup context
Applications will be accepted on an ongoing basis until the position is filled.
Compensation & Benefits
Salary Range: 120,000 - 140,000 USD
Benefits: Techstars offers a comprehensive benefits package that includes medical, dental, and vision insurance, a 401(k) retirement plan, and paid time off.
About Techstars
Since 2006, Techstars has been investing in the world’s most ambitious founders. We find great founders early, through a global network two decades in the making, and back them with capital, mentorship, and the connections they need to grow. www.techstars.com
Techstars is an affirmative action, equal opportunity employer and does not discriminate on the basis of race, sex, age, national origin, religion, physical or mental handicaps or disabilities, marital status, Veteran status, sexual orientation, gender identity nor any other basis prohibited by law.
Techstars uses E-Verify to check the work authorization of all new hires. For more information about E-Verify, please see the following:
E-Verify Participation Poster (English and Spanish)
Right To Work Poster (English and Spanish)
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
How we rate this
Product Manager - Engineering at Techstars rates 12 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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