UP.Labs is focused on transforming the commercial vehicle and trailer parts aftermarket through innovative technology solutions. The Senior Product Manager will be a key player in shaping the PartsPulse platform, defining its strategic direction, and ensuring measurable customer impact.
Responsibilities:
- Own product vision for a defined area of the platform
- Define long term direction, roadmap, and measurable outcomes for your domain
- Influence broader platform architecture and sequencing decisions
- Contribute meaningfully to company level product strategy
- Define and quantify customer value
- Establish leading and lagging indicators tied to dealer behavior and business outcomes
- Build KPI frameworks connecting product usage to wallet share, margin, inventory turns, and throughput
- Anchor initiatives to explicit value hypotheses
- Identify and prioritize highest ROI opportunities
- Rigorously size opportunities and articulate expected return relative to cost
- Recommend sequencing based on leverage, feasibility, and risk
- Build the analytical backbone
- Partner with engineering on instrumentation and clean data pipelines
- Create visibility through dashboards and reporting systems
- Drive disciplined execution
- Produce structured PRDs that surface tradeoffs and hidden requirements early
- Align cross functional stakeholders and drive initiatives from concept through iteration
- Mitigate strategic and project level risk through explicit assumptions and validation plans
Requirements:
- Strong data driven strategic thinking
- Comfort working with AI driven products and translating model capabilities and constraints into clear product requirements
- Exceptional analytical rigor and structured problem solving
- Process oriented with strong documentation discipline
- Ability to operate in ambiguity while imposing clarity and structure
- Proven track record leading complex cross functional initiatives in B2B SaaS environments where workflow integration and measurable customer ROI are critical
- Deep fluency in data systems, analytics, and instrumentation
- Comfort working with SQL, data warehouses, or backend systems
- Experience building KPI dashboards and customer level reporting frameworks
- Exposure to LLM based systems, including prompt iteration or structured evaluation
- Familiarity with model evaluation concepts such as datasets, scoring rubrics, success thresholds, reliability measurement, or experimentation loops
- Strong intuition for cost versus value tradeoffs in complex, multi stakeholder B2B environments