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Senior Product Manager (Asset Insights)

Zeitview

On-siteSan Francisco, CAsenior$160k–$180kPosted 7h ago

Job description

  • Build the core product that serves every Zeitview vertical

  • You will build and ship Zeitview’s primary enterprise platform, Asset Insights

  • You receive problem definitions and prioritized requirements from our vertical product leads: PMs who sit with customers in solar, wind, utilities, oil & gas, and commercial properties, and you turn those into working software

  • You partner with engineering leads to shape technical approach, manage cross-stage dependencies across the inspection pipeline (capture → analysis → delivery), and deliver complex programs at quality

  • Product vision and strategy are set by the Head of Product and VPs of Product; your job is to contribute technical judgment and then execute

  • What you’ll actually do in the first 6 months:

  • Evaluate where generative AI, LLM, or agent-based capabilities should replace or augment existing platform workflows, and where they shouldn’t

  • Negotiate scope trade-offs between multiple vertical PMs competing for the same engineering capacity, and make those trade-offs legible to leadership

  • Own the backlog for one or more pipeline stages in Asset Insights (e.g., analysis, analytics, action), writing epics and stories that engineering can pick up without a follow-up meeting

  • Work side-by-side with operations teams who run inspections and deliver reports, identifying where product investment eliminates manual steps

  • Inherit and improve the interface contracts between pipeline stages so that a change in capture doesn’t break delivery

  • Stand up or refine measurement frameworks for your product areas, defining what “working” means before you ship, not after- Bachelor’s degree (or higher) in a science, technology, or related field, or equivalent experience

  • You can hold your own in technical design discussions with engineering leads. You’ve shaped system architecture, evaluated build-vs-buy trade-offs, and ensured prototype-to-production paths are viable

  • You have delivered complex, ambiguous programs across multiple teams where no single person had full authority, coordinating through influence, clarity, and follow-through

  • You can write a product requirement that an engineer reads once and builds from. Your specs reduce ambiguity rather than create it

  • You have hands-on experience with AI/ML-powered product capabilities: generative AI, LLMs, agent-based systems, or comparable. You can evaluate an AI feature’s readiness for production, not just pitch one

  • You are fluent in quantitative reasoning: you’ve built measurement frameworks, designed experiments, and made judgment calls when the data was incomplete

  • You have built and shipped enterprise B2B SaaS products. Not just managed a backlog, but made architectural and scoping decisions that affected whether the product worked at scale

  • 8+ years of professional experience, with 5+ years in product management

  • Experience working with operational or service delivery teams. You understand that the product doesn’t end at the UI

  • Product management or domain experience in solar, wind, utilities, oil & gas, or commercial properties

  • Experience with geospatial data pipelines, remote sensing, or inspection/asset management platforms

  • Experience designing evaluation frameworks for non-deterministic AI outputs

  • Experience with drone or remote piloted system workflows

  • Experience in mobile application development