Product Manager - Mobile Platform
Blair, Nebraska, United States On-site
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About the role
This role's center of gravity is the customer — their experience of the Anova solution and their ability to realize meaningful value from it. You'll grow into deeper ownership as you build your track record here. The Product Manager owns discovery and delivery across a defined product area within the Anova Unify platform. Working closely with a Senior PM or Director, you drive the full product lifecycle for your area — from structured customer research through to shipping, measuring adoption, and iterating. This is a hands-on execution role: you will write specs, manage a backlog, partner daily with engineering, and get close to customers. You won't be handed a roadmap to execute — you'll help shape it.
What you'll bring
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience with mobile platform development, device connectivity, and software deployment.
- 3+ years of experience as a Product Manager, with direct ownership of product area strategy and adoption outcomes.
- 6+ years of total professional experience, spanning product management, software engineering, or related technical functions.
- You have at least one example of taking a product, feature, or initiative from zero — no spec, no playbook — to something real and used.
- Track record of shipping SaaS or enterprise software in close partnership with engineering teams — from spec to production — using Agile/DevOps.
- Experience conducting customer discovery interviews and translating qualitative and quantitative insight into prioritized, well-scoped backlog items.
- Demonstrated use of AI and LLM tools in a PM context — for research, synthesis, spec drafting, competitive analysis, data work, or customer insight.
- Ability to write clear, structured specs, one-pagers, and narratives for cross-functional audiences.
- Comfort reasoning about technical trade-offs — APIs, data models, integration patterns — credibly with engineers.
- Data fluency: define metrics, pull and analyze data in BI tools, and make evidence-based roadmap calls.
- Prior experience in IIoT, connected-hardware, SaaS, or industrial technology environments.
- Experience shipping ML- or AI-assisted features in a SaaS product.