- Lead customer discovery through interviews, site visits, usage analysis, and win/loss reviews
- Develop customer, market, and competitive insights using AI tools for research and synthesis
- Own the product backlog end-to-end, including writing specifications and acceptance criteria
- Prioritize backlog items and keep the backlog current and unambiguous
- Define success metrics, monitor feature adoption after launch, and iterate based on evidence
- Partner daily with engineering and design to unblock teams and make product trade-off decisions
- Reason across physical devices, connectivity, firmware cycles, sensor data quality, and the cloud platform
- Create release notes, internal briefings, and customer-facing materials to enable go-to-market teams
- Triage escalated product issues and maintain feedback loops with support and customer success
- Own feature adoption, customer value realization, discovery pipeline, delivery quality, squad metrics, and NPS contribution
- Contribute to roadmap development for a defined area of the Anova Unify platform
Requirements
- 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
- Experience taking a product, feature, or initiative from zero 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
- Ability to write clear, structured specs, one-pagers, and narratives for cross-functional audiences
- Comfort reasoning about APIs, data models, and integration patterns with engineers
- Data fluency, including defining metrics, pulling and analyzing data in BI tools, and making evidence-based roadmap decisions
- Prior experience in IIoT, connected-hardware, SaaS, or industrial technology environments preferred
- Experience shipping ML- or AI-assisted SaaS features preferred
- Exposure to industrial or field-operations workflows preferred
- Background in venture- or private-equity-backed high-growth industrial technology companies preferred
Core Competencies
Demonstrates expertise in product management, including customer discovery, backlog ownership, and feature adoption metrics. Proficient in utilizing AI tools for market insights and data analysis to drive product strategy and execution.
Highest-signal resume keywords
- Product Management
- Customer Discovery
- Agile/DevOps Methodologies
- AI Tools Utilization
- Data Analysis
ATS Optimization Keywords
Hard Skills
- Product Backlog Management
- Specification Writing
- Feature Adoption Metrics
- SaaS Development
- Mobile Platform Development
- Integration Patterns
- Data Fluency
- Machine Learning Features
- Customer Insights Analysis
- Competitive Analysis
Soft Skills
- Cross-Functional Communication
- Problem Solving
- Collaboration
Industry Keywords
- IIoT
- Connected-Hardware
- Industrial Technology
- Venture-Backed Companies
- Field-Operations Workflows
Tools & Technologies
- BI Tools
- AI Tools
- LLM Tools