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AI Product Manager

Necessary Ventures
Abu Dhabi, UAE
Full Time
Mid
Hybrid
4 days ago
Product ManagementAI Product DevelopmentUser ResearchCross functional CollaborationData AnalysisSystems Thinking
Free

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Product ManagementAI Product DevelopmentUser Research
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About Nevoya

  • Nevoya is North America's leading next generation electric trucking carrier, transforming logistics through AI native operations and relentless customer focus.
  • The company builds and uses proprietary technology to deliver zero emissions carrier services to Fortune 500 shippers.
  • The company has operations in California and Texas, and is backed by globally renowned investors including Lowercarbon Capital.

About The Role

  • As an AI Product Manager, you will own the discovery, design, and delivery of AI powered products and workflows that make freight smarter.
  • You will identify where AI can solve real operational problems, partner closely with engineering and operations to build solutions that hold up in production.
  • Reporting to the VP of Product and AI, you will work alongside engineering and operations teams to bring AI capabilities from idea to launch.
  • This is a role built for a builder who is equally comfortable in a product strategy conversation and a sprint planning session.

What You'll Do

  • Own AI focused product initiatives from discovery through launch, working hand in hand with the engineering team.
  • Identify and prioritize where AI can add meaningful value across freight workflows, building a clear roadmap of opportunities.
  • Conduct and synthesize user research to surface high value problems and validate where AI is the right solution.
  • Define product requirements and success metrics for AI features, holding the team accountable to outcomes over outputs.
  • Partner with engineering to translate complex logistics challenges into reliable, production ready AI products.
  • Contribute to the development of Nevoya's broader AI strategy as that function grows.
  • Support the buildout of the product operations function, including release processes, feedback loops, and cross functional rituals.
  • Own voice of customer for the operators who live in the product, spending time close to real freight workflows before specing the tools and AI features that support them.
  • Develop tooling and workflows that improve how AI products are evaluated, shipped, and monitored in production.
  • Work with internal teams to ensure smooth launches and strong adoption.
  • Communicate product direction and tradeoffs clearly across technical and non technical stakeholders.

What You'll Bring To The Table

  • 3 6 years of product experience with a focus on AI operations, with a track record of shipping in fast moving environments.
  • Direct experience building, shipping, or operationalizing AI powered products or workflows.
  • Strong instincts for user research and the ability to translate customer insights into clear product direction.
  • Demonstrated ability to partner closely with engineering teams and lead product development end to end.
  • Ability to go down to the operating level, figure problems, build solutions that meet business goals working with operations, dispatch, drivers, and leadership.
  • Comfort with ambiguity and a track record of bringing structure to early stage or scaling product environments.
  • Strong systems thinking, including comfort designing around a single source of truth and event driven workflows.
  • A demonstrated ability to be a neutral arbiter across competing stakeholders and still ship a coherent roadmap.
  • Data fluency, including the ability to define metrics, interpret results, and make decisions grounded in evidence.
  • Strong written and verbal communication skills with the ability to align stakeholders across functions.
  • Genuine curiosity about how emerging AI capabilities can be applied to real world logistics problems.

Desired Experience

  • Background in mobility, logistics, truck and carrier operations.
  • Experience at a Series A or early stage startup where you helped build product and operational infrastructure from the ground up.
  • Hands on familiarity with how AI products are evaluated, deployed, and monitored in production.
  • Hands on experience scaling operations through agents or agentic workflows.
  • Exposure to standing up or maturing product operations practices within a growing team.

Compensation

  • $110K – $130K

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