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