About the Role

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We are looking for a Senior Product Manager to own the strategy, roadmap, and execution for our AI-powered SaaS platform serving the utilities and infrastructure sector. You will drive product vision for solutions spanning satellite-based asset monitoring, vegetation management, storm and wildfire risk assessment, and climate resilience planning. This role requires a strong blend of technical depth, customer empathy, and business acumen to build products that leverage agentic AI, computer vision, and geospatial analytics at scale.

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Roles and Responsibilities

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- Define and own the product roadmap for AI-powered platforms focused on utility asset monitoring, vegetation management, and climate risk solutions

- Collaborate with engineering, data science, and design teams to translate customer needs into well-defined product requirements and user stories

- Drive the development of agentic AI systems and human-in-the-loop workflows that combine satellite imagery, computer vision, and LiDAR data for actionable insights

- Engage with enterprise utility customers to deeply understand their operational challenges, regulatory environment, and digital transformation goals

- Prioritize features based on business impact, technical feasibility, and customer value using data-driven decision frameworks

- Define and track key product metrics, KPIs, and success criteria to measure product-market fit and adoption

- Lead go-to-market strategy in partnership with sales, marketing, and customer success teams for new product launches and feature releases

- Conduct competitive analysis and market research to identify emerging trends in AI, geospatial technology, and utility operations

- Work closely with the leadership team to align product strategy with overall company vision and growth objectives

- Manage the full product lifecycle from ideation and prototyping through launch, iteration, and scaling

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Qualifications

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- 4-8 years of product management experience in B2B SaaS, with a focus on AI/ML-powered platforms or enterprise software

- Strong understanding of agentic AI systems, computer vision, and machine learning concepts and their practical applications

- Experience building products that leverage geospatial data, satellite imagery, or remote sensing technologies is highly preferred

- Proven track record of shipping products from 0-to-1 and scaling them in enterprise environments

- Bachelor’s or Master’s degree in Computer Science, Engineering, Business, or a related field; MBA is a plus

- Excellent communication and stakeholder management skills with the ability to influence cross-functional teams and present to C-level executives

- Experience with Agile methodologies and product management tools such as Jira, Confluence, Productboard, or similar

- Familiarity with the utilities, energy, or infrastructure sector is a strong advantage