Trax Technologies logo
Trax Technologies
Posted 27 days agoVerified live 1d ago

Product Manager

Brief overview

Remote
3+ yrsMinimum
Agile Product ManagementProduct Management MethodologiesFigmaInteractive PrototypingData AnalysisUser ResearchMarket ResearchFeature FlaggingA/B TestingContinuous DeliveryB2B SaaSTask Management

About the company

Trax Technologies logo
Trax Technologiestraxtech.com

Trax is the global leader in Transportation Spend Management.

Job description

Summary

Trax Technologies is hiring a Product Manager to own product planning and execution across the full product lifecycle. The role involves defining product vision and strategy, conducting research, creating prototypes, prioritizing delivery, collaborating with cross-functional teams, and leading product launches and adoption.

Responsibilities

  • Develop, validate, and communicate the product vision and strategy for your assigned areas
  • Own and maintain product roadmaps, communicating status, sequencing, and trade-offs to internal stakeholders
  • Partner with Product Leadership to prioritize your area within the overall portfolio, and identify and manage cross-team dependencies
  • Participate in product pricing and packaging decisions
  • Conduct user and market research to build a deep understanding of user and buyer personas, critical customer segments, and the competitive landscape
  • Use AI-assisted research and synthesis — interview transcription and thematic analysis, support-ticket and usage-data mining, competitive teardowns — to shorten time-to-insight, while validating conclusions with real customers rather than trusting model output
  • Frame explicit hypotheses, define what evidence would disprove them, and run lightweight experiments before large investments
  • Work directly with product and usage data — query it, chart it, and size opportunities without waiting on an analyst
  • Partner with Design on exploratory, interaction, and fit-and-finish work
  • Build your own low- and mid-fidelity mockups and clickable prototypes using our design system and AI-assisted prototyping tools — enough fidelity to test a concept with customers and align stakeholders, with craft-level design owned by Design
  • Treat the design system as a shared language: compose from documented components and tokens, reuse established patterns, and surface gaps rather than inventing one-off solutions
  • Translate user needs into crisp problem statements, user stories, and acceptance criteria. Use AI to draft and stress-test these artifacts — and own their final quality and accuracy
  • Participate with Engineering in the agile sprint process, including sprint planning, backlog refinement, and retrospectives
  • Lead prioritization and backlog management for your area, serving as the primary point of contact for technical teams
  • Favor small, frequent releases over big-bang launches — use feature flags, staged rollouts, and internal dogfooding to learn quickly and de-risk delivery
  • Establish product goals, and set and track the metrics that show whether they were met
  • Lead the product launch process for new products and capabilities in collaboration with Marketing, Sales, Support, and Customer Success
  • Equip product launch teams with the positioning, demos, and enablement material they need — and stay accountable for adoption after launch, not just the ship date
  • Close the loop: monitor post-launch metrics and customer feedback, and feed what you learn back into the roadmap

Skills

  • 3+ years of experience in agile product management
  • Deep understanding of product management methodologies across discovery, prioritization, and delivery
  • Demonstrated fluency using AI tools in day-to-day product work — research synthesis, drafting and stress-testing specs, prototyping, data analysis — with sound judgment about where AI output requires human verification
  • Hands-on ability to produce mockups and interactive prototypes using a design system and modern prototyping tools (e.g., Figma, component libraries, AI prototyping tools). You do not need to be a designer; you do need to be able to show, not just tell
  • Comfort working with data — able to write or generate queries, read dashboards, and quantify an opportunity independently
  • Experience conducting user and market research and synthesizing needs and opportunities
  • Superior communication skills to evangelize your product area and articulate user and business needs
  • Ability to identify and work with Design and Engineering to solve ambiguous problems
  • Self-motivated, with strong task and time management skills
  • Experience shipping AI- or ML-powered product capabilities, including the harder parts: evaluation, accuracy thresholds, human-in-the-loop design, and earning user trust
  • Background in B2B or enterprise SaaS, particularly in logistics, supply chain, or financial operations
  • Familiarity with feature flagging, A/B testing, and continuous delivery practices
  • Experience partnering with data or platform teams on API- and integration-heavy products

Qualifications

Must Haves

  • 3+ years of experience in agile product management
  • Deep understanding of product management methodologies across discovery, prioritization, and delivery
  • Demonstrated fluency using AI tools in day-to-day product work — research synthesis, drafting and stress-testing specs, prototyping, data analysis — with sound judgment about where AI output requires human verification
  • Hands-on ability to produce mockups and interactive prototypes using a design system and modern prototyping tools (e.g., Figma, component libraries, AI prototyping tools). You do not need to be a designer; you do need to be able to show, not just tell
  • Comfort working with data — able to write or generate queries, read dashboards, and quantify an opportunity independently
  • Experience conducting user and market research and synthesizing needs and opportunities
  • Superior communication skills to evangelize your product area and articulate user and business needs
  • Ability to identify and work with Design and Engineering to solve ambiguous problems
  • Self-motivated, with strong task and time management skills

Nice to Haves

  • Experience shipping AI- or ML-powered product capabilities, including the harder parts: evaluation, accuracy thresholds, human-in-the-loop design, and earning user trust
  • Background in B2B or enterprise SaaS, particularly in logistics, supply chain, or financial operations
  • Familiarity with feature flagging, A/B testing, and continuous delivery practices
  • Experience partnering with data or platform teams on API- and integration-heavy products

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