This is a deeply technical, data-heavy product role. Youll need to understand the tracking data source from the ground up – its quirks, gaps, latency characteristics, and signal quality – and work hand-in-hand with engineering to turn raw feeds into a reliable, accurate, and trustworthy product experience. Youll partner closely with adjacent product owners to make sure tracking integrates seamlessly into the broader vessel positioning picture our customers depend on.
What youll do?
Own the product vision, roadmap, and backlog for the Tracking product – covering data ingestion, normalization, cleaning, fusion, and customer-facing presentation.
Develop deep expertise in the tracking data source: provider behavior, sensor characteristics, geographic coverage, refresh rates, accuracy, and known failure modes.
Work closely with engineering to define how raw tracking data is processed, fused with AIS and imagery, and exposed to users – making informed trade-offs on data quality vs. coverage vs. latency.
Define and track data-quality and product success metrics (coverage, accuracy, freshness, fusion lift, customer adoption) and use them to drive prioritization.
Coordinate with other product owners to ensure tracking integrates cleanly into the broader vessel positioning and vessel activities layers.
Translate customer feedback, analyst workflows, and internal stakeholder input into clear, prioritized user stories and acceptance criteria.
Communicate roadmap, progress, data-quality posture, and trade-offs clearly to stakeholders across product, go-to-market, and leadership.
Partner with engineering day-to-day – sprint planning, backlog grooming, and trade-off decisions on scope, quality, and timing.
3-5 years of experience as a Product Owner or Product Manager.
Hands-on experience with geospatial or positional data products (GPS, AIS, location feeds, mapping, geospatial pipelines).
Track record owning data products or data platforms – products where the core deliverable is a dataset, feed, or data pipeline rather than a UI surface.
Comfort going deep on technical detail: data schemas, ingestion pipelines, data quality metrics, and engineering trade-offs.
Strong written and verbal communication, especially with technical audiences.
Maritime domain experience (shipping, defense, offshore, etc.) – advantage.
