Senior Product Manager

Who We Are

Bidgely (which means "electricity" in Hindi) is an AI-powered SaaS Company accelerating a clean energy future by enabling energy companies and consumers to make data-driven energy-related decisions.

Ranked #7 in Applied AI on Fast Company’s list of Most Innovative Companies in the World, Bidgely is putting customers at the center of the clean energy future

What We Do

Powered by our unique patented technology, Bidgely's UtilityAITM Platform transforms multiple dimensions of customer data - such as energy consumption, demographics, and interactions into deeply accurate and actionable consumer energy insights. We leverage these insights to empower each customer with personalized recommendations tailored to their individual personality and lifestyle, usage attributes, behavioral patterns, purchase propensity and beyond.

How We Do It

From a distributed energy resources (DER) and grid edge perspective, Bidgely is advancing smart meter innovation with data-driven solutions for solar PVs, electric vehicle (EV) detection, EV behavioral load shifting and managed charging, energy theft, short-term load forecasting, grid analytics and time of use (TOU) rate designs. Bidgely’s UtilityAITM energy analytics provides deep visibility into generation and consumption for better peak load shaping and grid planning and delivers targeted recommendations for new value-added products and services.

For more information, please visit-

Website: www.bidgely.com

Blog: bidgely.com/blog

Role Overview

As a Senior Product Manager – Analytics, you will shape the vision, strategy, and delivery of Bidgely’s enterprise analytics products—transforming raw AMI and program data into carbon-reducing, rate-shaping, and business-intelligence insights for utility customers worldwide. Reporting to the Principal Product Manager - Analytics, you will:

Own a multi-year roadmap that pushes the boundaries of utility analytics, BI, and AI‑powered decision support at scale.

Define and prioritize extensible platform features—including analytics capabilities and application-layer products—with robust APIs and integrations tailored to the diverse needs of utility ecosystems.

Collaborate with globally distributed engineering, data science, UX, and GTM teams to deliver scalable, interoperable analytics solutions.

Translate high-level business goals into technical requirements and measurable Business KPIs tied to decarbonization, grid‑operations outcomes, Load shift metrics and Product KPIs including user engagement and product adoption

Demonstrate strong B2B SaaS product judgment—grounded in an understanding of SaaS principles, go-to-market alignment, and product packaging to drive adoption and growth.

Show a strong bias for action, with preference for 0→1 product experience; able to move quickly, validate early, and balance speed with strategic depth.

Key Responsibilities

Product Execution & Delivery

Convert epics into detailed user stories with clear acceptance criteria; manage sprint planning, backlog prioritization, and delivery milestones.

Drive quarterly release cycles from beta to GA—including post-launch instrumentation and customer telemetry analysis—to ensure high-quality, usage-ready releases.

Partner with Marketing and Sales to craft positioning, collateral, and launch strategies that emphasize carbon-reduction, load flexibility, and measurable customer impact.

Work closely with the Strategy and Growth team to develop concept brochures and early collateral to validate the market propensity of new features before full-scale development.

Collaborate with the Customer Onboarding and Delivery teams to ensure successful field deployment and adoption of new product capabilities.

Partner with Customer Success Managers (CSMs) to engage clients, validate product value, and convert demonstrated impact into measurable proof points.

Technical Collaboration & Development

Work closely with Designers to build a cohesive, element-based SaaS platform experience—championing modular design systems and acting as a gatekeeper for SaaS UX principles during specification and functional detailing.

Collaborate closely with Engineering and Data Science to design scalable data pipelines, intuitive dashboards (Looker, Tableau, Power BI), and robust RESTful APIs for operational analytics.

Contribute to technical design decisions—reviewing specs, validating outputs against real-world utility workflows, and balancing scalability, extensibility, and performance.

Rapidly prototype new visualization approaches or ML-powered features to validate hypotheses and accelerate innovation.

Enable interoperability by integrating utility analytics platforms with external enterprise systems (e.g., DERMS, Power Flow Modelling, Marketing automation) via APIs or other form of integration

Data Analysis & Performance Measurement

Define and own key product KPIs—such as dashboard engagement, feature adoption, Retention, forecast accuracy and Qualitative use cases from the tool and Key Business KPIs such as Load shift, Program engagement etc to drive product decisions and roadmap reprioritization.

Partner with Analytics insights group and AWB Product Engineering to instrument features, build funnel analyses, and implement telemetry that enables real-time usage insights for continuous iteration

Leverage A/B testing, cohort analysis, and other data-driven techniques to validate hypotheses, optimize features, and continuously improve user outcomes.

Build feedback loops using internal analytics tools and customer usage data to support iterative product development and value demonstration to stakeholders.

Product Strategy & Vision

Conduct structured market, policy, and competitive analysis to identify strategic bets and innovation opportunities across the utility analytics landscape.

Monitor industry shifts—including DER adoption, AMI 2.0 evolution, load flexibility mandates, and regulatory trends—to shape a forward-looking 18-month product vision aligned with market needs and platform evolution.

Craft and refine differentiated value propositions—such as EV load-shaping insights or demand forecasting accelerators—and co-develop them with early-adop utility partners.

Translate insights into compelling vision artifacts, investment justifications, and strategic narratives that inform prioritization, positioning, and cross-functional alignment.

Roadmap Planning & Prioritization

Maintain a transparent, outcome-driven roadmap that balances near-term customer needs with long-term strategic bets and innovation initiatives.

Ensure roadmap priorities are grounded in a diverse set of inputs—including company strategy, product OKRs, market feedback from Sales and Executives, insights from current utility clients, and both primary (e.g., interviews) and secondary (e.g., industry reports) market research.

Apply structured prioritization frameworks (e.g., RICE, MoSCoW, Opportunity Scoring) to evaluate trade-offs across technical feasibility, business impact, and user value.

Use quantitative data, telemetry insights, and voice-of-customer feedback to reprioritize effectively in response to evolving business context or field learnings.

Collaborate with cross-functional teams—including Engineering, Data Science, Customer Success, and Leadership—to ensure roadmap alignment and execution readiness.

Clearly communicate roadmap rationale and changes to internal and external stakeholders, building confidence and alignment around key product directions.

Stakeholder Management

Present roadmap, OKRs, and release outcomes to executives, utility clients, and cross-functional teams to drive alignment and transparency.

Act as the strategic link between Product, Engineering, Delivery, and Customer Success to ensure timely, high-quality deployments and ongoing customer value realization.

Cross‑Functional Leadership

Champion a customer-first, experimentation-driven culture by aligning Product, Design, Data, and GTM teams around rapid learning, shared goals, and outcome-based execution.

Qualifications & Experience

Educational Background

Bachelor’s degree in Engineering, Computer Science, Data Analytics, or a related field; Master’s or MBA a plus.

Professional Experience

5–7+ years of product management in SaaS analytics, BI, or data platform products with end-to-end ownership from ideation to optimization.

Proven track record of shipping enterprise-grade analytics solutions with measurable business impact.

Hands-on with modern BI and data stack tools such as Looker, Tableau, Power BI, Sisense, Grafana, Snowflake, and Databricks.

Deep expertise in agile/lean methodologies, including sprint planning, backlog grooming, and iterative delivery.

Experience in the utility or energy sector is strongly preferred

Technical & Domain Expertise

Proficient in querying large datasets, writing SQL, and evaluating data model trade-offs for analytics and visualization use cases.

Familiar with core machine learning concepts such as forecasting and clustering, with experience partnering on scalable production deployments.

Able to collaborate on high-level system architecture, balancing cost, performance, security, and extensibility in modern cloud-based environments.

Strongly preferred: Experience with geospatial data integration and map-based product features using tools like Leaflet, Mapbox, or GIS platforms for location-aware analytics.

Core Competencies

Strategic Thinker – Connects analytics product vision to Bidgely’s mission and utility business outcomes, driving long-term impact through focused prioritization and strategic bets.

Data-Driven Decision Maker – Translates complex data into actionable insights; adapts quickly based on experimentation, telemetry, and field learnings.

Influential Communicator – Tailors narratives effectively across engineers, data scientists, executives, and clients to align teams and inspire action.

Customer-Centric Innovator – Champions user needs and pain points; pushes beyond the status quo to deliver meaningful, differentiated solutions.

Inclusive Leader – Builds trust across cross-functional teams, fosters psychological safety, and removes roadblocks to accelerate delivery and collaboration.

Why Join Bidgely?

Opportunity to shape the future of clean energy and sustainability.

Work in a dynamic, fast-paced environment with diverse, cross-functional teams.

Competitive Compensation, Benefits, And Opportunities For Professional Growth.

Make a tangible impact at the intersection of AI, data, and climate tech.

Ready to Apply?

If you’re passionate about building transformative analytics products in the energy sector and you thrive at the intersection of data, design, and impact—we’d love to meet you!