
Senior Product Manager (Asset Insights)
Zeitview
Job description
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Build the core product that serves every Zeitview vertical
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You will build and ship Zeitview’s primary enterprise platform, Asset Insights
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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
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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
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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
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What you’ll actually do in the first 6 months:
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Evaluate where generative AI, LLM, or agent-based capabilities should replace or augment existing platform workflows, and where they shouldn’t
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Negotiate scope trade-offs between multiple vertical PMs competing for the same engineering capacity, and make those trade-offs legible to leadership
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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
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Work side-by-side with operations teams who run inspections and deliver reports, identifying where product investment eliminates manual steps
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Inherit and improve the interface contracts between pipeline stages so that a change in capture doesn’t break delivery
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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
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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
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You have delivered complex, ambiguous programs across multiple teams where no single person had full authority, coordinating through influence, clarity, and follow-through
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You can write a product requirement that an engineer reads once and builds from. Your specs reduce ambiguity rather than create it
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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
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You are fluent in quantitative reasoning: you’ve built measurement frameworks, designed experiments, and made judgment calls when the data was incomplete
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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
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8+ years of professional experience, with 5+ years in product management
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Experience working with operational or service delivery teams. You understand that the product doesn’t end at the UI
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Product management or domain experience in solar, wind, utilities, oil & gas, or commercial properties
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Experience with geospatial data pipelines, remote sensing, or inspection/asset management platforms
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Experience designing evaluation frameworks for non-deterministic AI outputs
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Experience with drone or remote piloted system workflows
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Experience in mobile application development