Technical Product Manager
SpeerThis Technical Product Manager role involves translating complex partner requirements into tiered technical scopes and managing the full software development lifecycle for a startup-stage technology company.
What you’d own
- Translating external partner requirements into tiered project scopes
- Breaking down complex projects into clear developer tickets
- Leading agile sprints and scrum meetings
- Conducting UI/UX and functionality QA across all development stages
Who it’s for
A fit if you…
- ✓You have a background in software development and understand databases, APIs, and mobile/web apps.
- ✓You are comfortable acting as a bridge between non-technical partners and engineering teams.
- ✓You have experience with agile processes and tools like JIRA.
Not for you if…
- ✗You prefer a structured corporate environment over a high-pressure startup pace.
- ✗You are looking for standard working hours, as the role requires 'strange hours' and flexibility.
- ✗You prefer to work in a vacuum without having to manage external partner relationships.
Reading between the lines
- The requirement to 'work strange hours' and make 'sacrifices' implies an expected high-intensity workload with potential for significant overtime.
- The request for a background in software development and scripting suggests the role is highly technical and requires deep architectural understanding, not just project coordination.
- The emphasis on 'creative direction' and 'making partners feel comfortable' suggests a heavy focus on client-facing relationship management alongside technical delivery.
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Benefits
Full job description
About Speer
See all roles →Speer Technologies is a Florida-based firm that builds custom AI systems for businesses rather than selling a single off-the-shelf product. Its work spans conversational assistants and agents, generative AI, AI-powered search, and computer vision, with an emphasis on flexible cloud or on-premise deployment, support for OpenAI, Anthropic, and open-source models, and letting clients keep full ownership of their data. It positions itself as an alternative to big-tech AI vendors, following a discovery-to-deployment process for each engagement. The team is very small and founder-led, so a PM here would work close to the metal across many client problems rather than one focused roadmap.
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