Job duties and accountabilities
Portfolio & Program Management
- Establish and lead the AI product program function; manage a portfolio of products, platforms, and initiatives. Drive prioritisation, capacity planning, sprint cadence, and executive reporting
- Lead the POC → MVP → production pipeline; define success metrics (business + technical)
- Write technically sound PRDs with edge cases and acceptance criteria
- Build QA frameworks across data accuracy, model outputs, and UI flows
- Establish release standards, monitoring, alerts, and feedback loops across the product portfolio, Ensure traceability
Adoption, Partnerships & Impact
- Design adoption strategies across central ministries, state governments, enterprises, and partner institutions; track Activation, Retention, and Depth
- Make new partnerships to identify new features, increase impact, and API/data-sharing use cases
- Act as a bridge between external stakeholders (government, industry, multilateral organisations) and internal product, tech, and research teams
AI Product Strategy & Agentic Systems
- Define and own the AI/agentic product strategy and roadmap across the Tech & AI portfolio (CRAVIS, disease early warning systems, air quality tools, hyperlocal climate AI)
- Ship AI-driven capabilities: agentic workflows, natural-language querying, forecasting, recommendations that are interpretable and decision-grade for government users
- Define product requirements for multi-agent systems stateful workflows, guardrails, and human-in-the-loop (HITL) controls
- Input to design agentic UX beyond chat structured workflows, dashboards, trust layer (explainability), and control layer (overrides, approvals)
- Define frameworks for agent observability (AgentOps), evaluation (accuracy, grounding, latency, hallucination), and responsible AI compliance.
Qualificatio
- nB.E./B.Tech from IITs/NITs (or equivalent top-tier engineering institute) or MBA from a Tier-1 institute (IIM/ISB/IMT/FMS/SP Jain or equivalent
- )8-10 Years of experience required
.Key skill
sMust Have (Hands-on Experience
- )Experience in product management, with at least 2 years actively building and shipping AI/ML or GenAI products end-to-en
- dWorking knowledge of LLMs, RAG, Graph RAG, agentic systems, and evaluation frameworks applied in real production context
- sDirect experience with modern AI stacks: multi-agent frameworks (ADK, SDKs, Lang Graph, LangChain, MCP, etc.), vector/graph retrieval, and observability toolin
- gComfort with SQL, APIs, and data pipelines; ability to debug across data,model,UI layer
- sTrack record of driving adoption and measurable business or policy impac
tPreferre
- dExperience in climate tech, geospatial / Earth-observation platforms, or public-data system
- sFamiliarity with GIS / map-based products and satellite data workflow
- sPrior work with government, multilateral, or mission-driven ecosystem
- sFamiliarity with the Indian policy and regulatory landscap
- eExperience supporting DPI-aligned products or open data platform
s
If you are passionate about leveraging data for creating decision-making toolkits that help in effective policy-making, we would like to speak to you. If you can help in turning climate datasets into insightful analytics, while also upskilling yourself in public policy space, you are probably the candidate we are looking for
.
CEEW operates in a dynamic environment and the candidate will be required to show flexibility in undertaking a variety of tas
ks.
Compensa
tionCompetitive compensation – commensurate to the experience and matching the best of standards adopted by industry or other similar organisations for similar ro
les.
Application Pr
ocessCEEW is an equal-opportunity employer, and the selection process does not discriminate on the basis of age, gender, caste, ethnicity, religion, or sexuality. Female candidates are encouraged to a
pply.Applications will be reviewed on a rolling basis. Interested applicants are advised to apply at the earliest poss
ible.
Only shortlisted candidates will be notified by us. We appreciate your int
erest.
