About The Position

We're looking for a Senior Product Manager to shape the future of GenLogs' data and vision-driven products. You're a strategic, customer-obsessed leader who knows how to mine insights from existing products, translate them into new vertical opportunities, and deliver exceptional experiences at scale. You'll work directly with customers, customer success teams, and leadership to define product direction, then collaborate daily with Engineering, Data Engineering, and Data Science to bring ideas to life on a predictable release cadence. You'll own the full product journey: run discovery to understand what clients need, work with engineering to build and test solutions, and launch features that people actually use. You're constantly gathering feedback, turning insights into action, and measuring what moves the needle.

Requirements

  • 5+ years of product management experience, ideally in SaaS, data products, analytics platforms, logistics, or computer vision/ML-driven products.
  • Proven ability to drive products from concept → launch → iteration based on customer insights.
  • Experience conducting customer interviews, user research, and translating qualitative feedback into actionable product requirements.
  • Experience working closely with Engineering and technical teams; comfortable diving into technical concepts.
  • Strong communication and storytelling skills—able to translate complex problems into clear, compelling narratives.
  • Excellent project management skills with a track record of delivering on predictable schedules.
  • Proven ability to influence without authority and rally cross-functional teams around a shared vision.
  • Comfort operating with high ownership and autonomy in ambiguous environments
  • Deep empathy for users and a passion for building exceptional product experiences.
  • Ability to translate between technical and non-technical audiences, synthesizing complex systems into compelling narratives.
  • Bias toward action, comfort with ambiguity, and ability to thrive in a high-growth environment.

Nice To Haves

  • Background in logistics, transportation, geospatial analytics, or fleet intelligence.
  • Experience with machine learning, data pipelines, or computer vision products.
  • Prior startup experience, especially at high-growth, B2B SaaS companies.
  • Familiarity with Snowflake, Postgres, Mapbox, or other data/geo tools.
  • Proficient in product analytics tools (Heap, Mixpanel, Amplitude) and comfortable diving into user data to uncover insights.
  • Founder or early startup experience (pre-seed/seed) where you had to figure things out yourself, ship with limited resources, and make things happen without a playbook.

Responsibilities

  • Lead product discovery, user research, requirement definition, roadmap planning, and testing.
  • Work with engineering to deliver features, conduct QA, and ensure timely execution.
  • Engage with customers to validate use cases and collect feedback.
  • Establish product success metrics and ensure products achieve operational, commercial, and regulatory impact.
  • Ship rapidly and iterate based on real-world usage—prioritize learning over perfection and use data to refine quickly.
  • Make decisive trade-off decisions between speed, scope, and quality to maintain momentum.
  • Collaborate with customer success to identify expansion opportunities and ensure high retention.

Benefits

  • Healthcare (US based only)
  • Employer-covered comprehensive medical, dental, and vision plans
  • Employer contribution towards premiums of optional higher-end plans
  • Time Off
  • Unlimited PTO
  • Sick leave
  • Company holidays (GenLogs observes all US Government holidays)
  • Flexible leave for caregiving and medical needs
  • Family Support
  • Paid parental leave
  • Professional Development
  • Budget availability for approved professional development courses, certifications, and training
  • Travel Support
  • 100% travel reimbursement for all approved company travel and spending
  • Retirement Savings
  • 401(k) plan (US based employees)
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