As a Senior Product Manager, you'll own and drive the strategy, development, and market impact of our AI-powered platforms that help utilities prevent failures, anticipate risks, and respond to emergencies. You'll lead products across our portfolio, including AIMS for intelligent asset monitoring, IVMS for vegetation and wildfire risk assessment, and CRIS for a unified view of climate and operational risk. Your role will be critical in translating complex technical and operational challenges into actionable product roadmaps that improve grid reliability, safety, and operational efficiency.
You'll take full ownership of your product area, collaborating closely with engineering, customer success, sales, and leadership to deliver solutions from concept to enterprise adoption. Success in this role requires balancing competing priorities, synthesizing insights from diverse stakeholders, and making fast, high-impact decisions in a scaling organization. Working at the intersection of AI, utility operations, and infrastructure resilience, your product leadership will directly prevent outages, enhance emergency preparedness, and strengthen critical infrastructure for millions of people.
Responsibilities
- Implement AiDASH 2026 Product Vision - rebuilding the utilities product stack from scratch, which includes an integrated product experience with Generative AI as a core component.
- Incorporate Agentic AI into Product Workflows define how autonomous, multi-step AI workflows get designed and delivered across AiDASH's utility product portfolio, including asset inspection, vegetation management, and climate risk use cases.
- Drive end-to-end product ownership from problem discovery and roadmap definition through engineering collaboration, launch, and adoption with a bias toward outcomes over output.
- Translate field operations into AI-native products: work closely with utility customers to understand maintenance and inspection workflows (e. g., vehicle-based photo capture, asset condition monitoring) and reimagine them as intelligent, automated pipelines.
- Partner with AI/ML and engineering teams deeply engage with data science and computer vision teams to shape model capabilities, define evaluation criteria, and make sharp trade-offs between automation accuracy and human review thresholds.
- Define and track the right metrics: go beyond feature adoption to track workflow automation rates, human-override frequency, time-to-resolution, and downstream operational impact for customers.
- Stakeholder alignment and communication synthesize inputs from customers, sales, customer success, and engineering into a coherent roadmap; communicate clearly across technical and non-technical audiences.
- Conduct market and competitive research, stay current on the evolving agentic AI landscape, identify whitespace, and ensure AiDASH's approach is differentiated.
Requirements
- 4-8 years of product management experience, with a strong focus on B2B SaaS products.
- Hands-on experience building or shipping agentic AI systems or autonomous workflow products, not just products that use AI as a feature but systems where AI agents drive multi-step decision-making.
- Familiarity with computer vision applications, understanding how image/video data is processed, modeled, and operationalized in real-world workflows.
- Experience designing human-in-the-loop systems, knowing where to place human checkpoints, how to handle model uncertainty, and how to build operator trust in AI outputs.
- Strong product instincts with sharp analytical and quantitative skills.
- Excellent communication and stakeholder management skills; comfortable working across engineering, data science, sales, and customer-facing teams.
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related discipline.
- Good to have exposure to GIS, satellite imagery, or remote sensing products.
- Experience working with enterprise customers on workflow digitization or automation initiatives.
- Familiarity with AI/ML model lifecycle management and evaluation frameworks.
This job was posted by Rajat Khanna from AiDASH.
