Sr. Product Manager

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