Technical Product Manager

FlowFuseSan Francisco, CA
4d

About The Position

At FlowFuse, the Technical Product Manager (TPM) bridges product strategy and technical execution. They turn complex technical challenges into measurable product outcomes, ensuring engineering delivers solutions that meet customer needs and quality standards. This role blends technical depth and product acumen. The TPM dives into architecture, weighs trade-offs, and uses data to guide decisions on debt, scalability, and performance. The Technical Product Manager reports to the Director of Product and is primarily responsible for: Bridging strategy and execution: Translate product strategy into clear, measurable technical outcomes and objectives. Defining requirements: Partner with engineering to balance user needs, feasibility, and business impact. Delivering outcomes: Set success metrics/KPIs, measure progress, and connect decisions to results.

Requirements

  • Technical depth: Understand architecture, APIs, databases, and SDLC; low-code/Node-RED is a plus.
  • Outcome orientation: Define KPIs and use data to drive decisions and impact.
  • Product/engineering fluency: Comfortable with user stories and technical implementation.
  • Strategic to tactical: Convert strategy into deliverables and milestones.
  • Analytical: Use qualitative and quantitative inputs for prioritization.
  • Technical communication: Translate across technical and non-technical audiences.
  • Collaborative problem solving: Partner with engineering to find pragmatic solutions.
  • Trade-off judgment: Balance debt, features, performance, scalability, and business priorities.

Responsibilities

  • Own metrics: Define, track, and report adoption, performance, reliability, and business impact.
  • Plan sprints and releases: Align roadmap, priorities, debt, and infrastructure with product strategy.
  • Shape specs/architecture: Co-create technical specs and provide architectural input.
  • Translate across teams: Bridge product, engineering, sales, and customer success.
  • Prioritize with data: Use usage data, customer feedback, and capacity signals.
  • Assess feasibility: Evaluate complexity, approaches, and technical risk.
  • Advocate quality: Set and monitor quality, performance, and reliability targets.
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