✦ Luna Orbit — Product Management

Product Manager - Data Engineering

at Pax8

📍 Remote, US Remote 💰 $120K – $130K USD / year Posted April 15, 2026
Salary $120K – $130K USD / year
Type Full-Time
Experience mid
Exp. Years Not specified
Education Not specified
Category Product Management

Pax8 is hiring a fully remote Product Manager for Data Engineering to own a data engineering product space and deliver end-to-end outcomes. The role partners with engineering and design to shape solutions, translate strategy into outcome-focused roadmaps, and drive continuous improvement using experimentation and analytics.

  • Own a data engineering product space with measurable customer and business outcomes
  • Translate strategy into outcome-focused roadmaps aligned to company and product goals
  • Partner with engineering and design to discover, shape, and deliver solutions
  • Use qualitative insights, quantitative data, and experimentation to define success metrics
  • Guide execution through prioritisation and hands-on collaboration from build through launch

Focuses on data engineering product initiatives, applying product, design, and systems thinking to evaluate trade-offs and define success metrics. Leverages AI-enabled tools and supports an AI-first product journey through experimentation, analytics, and iterative development from build through launch.

The ideal candidate is a mid-level Technical Product Manager with demonstrated experience owning and delivering complex product initiatives in technical environments. They can translate strategy into outcome-focused roadmaps, partner closely with engineering and design, and drive learning through experimentation, analytics, and success metrics—especially in data engineering contexts.

Demonstrated experience owning and delivering complex product initiatives in technical environmentsStrong grounding in modern software deliveryexperimentationanalyticsand iterative developmentDefine success metrics using qualitative insights and quantitative data and experimentationTranslate strategy into outcome-focused roadmapsGuide execution through prioritisation and hands-on collaboration from build through launch
AI-enabled tools
own a data engineering product spacedefine problemsend to end product outcomesoutcome-focused roadmapsproduct design and systems thinkingtrade-offs analysisvalue feasibility impactqualitative insightsquantitative dataexperimentationsuccess metricsprioritisationbuild through launchcommunicate progress risks decisionscontinuous improvementAI-enabled toolsAI-first product journeymodern software deliveryanalyticsiterative development
Own a clearly defined data engineering product spaceDefine problemsDeliver end to end product outcomesPartner with engineering and designTranslate strategy into outcome-focused roadmapsProduct thinkingDesign thinkingSystems thinkingEvaluate trade-offs across valuefeasibilityand impactUse qualitative insightsUse quantitative dataExperimentationDefine success metricsAdapt direction based on metricsPrioritisationGuide execution through build through launch collaborationCommunicate progressrisksand decisionsContinuous improvement of product practices and ways of workingLeverage AI-enabled tools
AutonomyClarity in communicationCollaborationRisk communicationDecision-making communicationTurning complexity into actionable insightCross-functional partnership
Industry SaaS
Job Function Own and deliver data engineering product initiatives as a technical product manager
Role Subtype Technical Product Manager
Tech Domains AI & Machine Learning, Data & Analytics
Product ManagerProduct Manager - Data EngineeringData Engineeringfully remoteownend to endoutcome-focused roadmapsengineering and designproduct design and systems thinkingtrade-offs across value feasibility and impactqualitative insightsquantitative dataexperimentationsuccess metricsprioritisationbuild through launchcommunicate progress risks and decisionscontinuous improvementAI-first product journeyAI-enabled toolstechnical environmentsengineering and design partnership

Must have demonstrated experience owning and delivering complex product initiatives in technical environments, Must have strong grounding in software delivery, experimentation, analytics, and iterative development

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