What you would be doingproduct roadmap
ai pipeline
data enrichment
utility management
sustainability reporting
energy procurement
This person will collaborate frequently with engineers, data entry, data science teams, other product managers locally & globally, and cross-functional teams like Customer Success and Operations to ensure the success of their product. The ideal candidate is a self-starter, detail-oriented, continuous learner, and a systems thinker who enjoys breaking complex problems into smaller steps that drive iterative product development and who can create and execute roadmaps, as well as, coordinate cross-department initiatives and drive them to completion.
This person will be responsible for creating and executing the product roadmap and leading product initiatives from conception to launch and subsequent iterations, by helping innovate with cutting edge AI models, design new technology features that use AI to transform business processes, and deliver outsized business value. This person should have experience building enterprise-grade data products with significant scale or complexity, leveraging AI technologies and models, and supporting both external and internal customers.
Eliminating carbon footprints, eliminating carbon copies.
- Constantly monitor and update on the progress of the initiatives to all the relevant stakeholders and the leadership team.
- Define, prioritize, and build product initiatives and features that improve the scale, quality, and reliability of the data systems, tools, and applications.
- Balance long-term bets with short-term improvements, optimizing for speed of learning and time to impact.
- Utility Bill Management: Lower utility costs and streamline bill management with automated bill payment, proactive error identification, optimized tariff structures, and budgeting & forecasting.
- Sustainability Reporting: Achieve compliance goals and track carbon emissions with standardized energy data and seamless integration with leading sustainability platforms.
- Energy Procurement Advisory: Source clean energy through a comprehensive evaluation of supply options - including traditional retail options and onsite and offsite resources — to effectively manage risks, reduce costs, and achieve corporate sustainability goals.
- Create and own the product roadmap for the AI Data Pipeline squad aligning to the overall business and product strategy that helps build and scale Arcadia’s energy data and AI products.
- Lead the AI Data Pipeline product squad to tackle utility data acquisition, extraction and enrichment challenges faced by internal teams.
- Write clear and detailed product requirements that can be easily understood by technical and non-technical audiences.
- Champion (and model) AI tool usage (e.g., Gemini, Cursor) to drive productivity improvements both in product management and with your engineering team.
- Work with data science and other AI team members to design agentic features, prompts, and pipelines (e.g., RAG, MCPs)
- Drive technical learning and innovation by self-learning new technology stacks (AI, Snowflake, etc.) and working with engineering to rapidly build and prototype solutions
- Collaborate cross-functionally with peers in Engineering, Operations, and Data Science to deliver products on time.
What you bringai/ml
enterprise saas
product management
b2b
engineering degree
automation pipelines
We are seeking an experienced Senior Product Manager to join our Product team in India to help drive AI-native product development, focusing on building products, platforms, and tools that will enable effective and quality energy data to customers in a faster, secure, and reliable manner.
Here at Arcadia, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Arcadia is committed to equal employment opportunity regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law. While we are currently unable to consider candidates who will require visa sponsorship, we welcome applications from all qualified candidates eligible to work in India
- Strong expertise with internal tools and systems in a medium to large enterprise and building complex systems around automation.
- Proven experience working with AI technologies, including LLMs or ML models, to create products.
- A natural curiosity to continuously evolve with AI developments within the industry.
- Experience working with globally distributed teams in multiple timezone environments.
- Proven ability to break down complex problems into incremental product solutions.
- Ability to think strategically.
- Strong organizational and project management skills, and a proactive communication style.
- Experience building enterprise-grade B2B software products, ideally with notable technical data complexity and a focus on AI/ML applications.
- Experience working in a regulated vertical (ideally energy, but if not, a background in finance, telecom, healthcare would be helpful).
- Bachelor's or Master's degree in engineering or business management from top universities.
- 6+ years of overall experience in software product management in SaaS or data/platform product companies and at least 4+ years of direct & hands-on PM experience.
- Demonstrated experience aligning and influencing cross-functional teams and diverse stakeholders.
- At least one experience in building out agents or similar agentic / automation pipelines
Benefits- Medical Insurance (1+5 Family Members)
- Apart from Fixed Base Salary potential candidates are eligible for following benefits
- Office located in the heart of the city in case you need to step in for any purpose
- Awards and Bonus
- We are working on a hybrid model with remote first policy
- Competitive compensation based on market standards
- Annual performance cycle
- Flexible Benefit Plan
- Flexible Leave Policy
Training + DevelopmentInformation not given or found