Product Manager

About Valiance Valiance is a deeptech AI company building sovereign and mission-critical AI solutions for enterprises and government institutions. Recognized with the NASSCOM AI GameChangers Award and the Aegis Graham Bell Award, and backed by a team of 200+ engineers and data scientists, we build AI systems that operate at the intersection of scale, reliability, and real-world impact. Our work spans Generative AI, Agentic AI, and sovereign AI platforms deployed in high-stakes environments across India and beyond.

The Role We are looking for an AI Product Manager who thinks like a consultant, builds like an engineer, and executes like a founder. This is not a traditional PM role — you will be working at the bleeding edge of Generative and Agentic AI, translating complex stakeholder requirements from public sector bodies and enterprise clients into production-grade AI products that deliver measurable outcomes.

This role reports directly to the CEO. That means high visibility, high expectations, and real authority. You will have a direct line to strategic decisions, and you will be expected to use it. You will not be managing timelines for someone else's vision — you will be shaping the product vision itself. You will work daily with AI engineers, software engineers, cloud architects, data engineers, and security specialists across Valiance's delivery centers. You need to earn their respect technically, not just manage their timelines.

If you are someone who gets restless when things move slowly, who proactively identifies problems before they become fires, and who finds energy in navigating ambiguity — this role is built for you.

What You Will Own Solution Conceptualization & Client Engagement Engage directly with enterprise and government clients to understand business problems, operational constraints, and success metrics Translate unstructured client requirements into well-defined product briefs and solution architectures in collaboration with technical leads Bring a consulting mindset — ask the right questions, challenge assumptions, and propose solutions that balance ambition with feasibility Product Roadmap & Delivery Define and own the product roadmap with clear milestones, sprint priorities, and release plans Write detailed user stories, acceptance criteria, and functional specifications that engineering teams can execute without ambiguity Drive Agile ceremonies — sprint planning, backlog grooming, retrospectives — with discipline and urgency Hold the bar on quality — zero tolerance for avoidable bugs reaching production; own the QA process alongside engineering Technical Leadership Maintain a working understanding of the full AI product stack: Gen AI / LLM integration, Agentic AI frameworks, cloud infrastructure (preferably GCP), databases, APIs, and security/compliance requirements Be hands-on in at least one area — whether that is Python scripting, prompt engineering, SQL, API integration, or front-end prototyping Review technical trade-offs with architects and make informed decisions on build vs. buy, architecture choices, and tech debt AI Adoption & Change Management Drive post-deployment adoption — this is not optional, this is part of your KPI Design onboarding journeys, training material, and feedback loops for end users in government and enterprise contexts Monitor usage metrics, identify drop-off points, and iterate rapidly to drive engagement Act as the internal champion and external evangelist for the product Stakeholder & Cross-functional Management Manage multiple stakeholders simultaneously — client leadership, internal delivery teams, and CEO Communicate product status, risks, and decisions with clarity and without sugar-coating Travel to client locations across India as required for discovery, pilots, reviews, and adoption drives — expect this to be a meaningful part of the role

What We Are Looking For Experience 4–8 years of experience in product management, consulting, or a technical delivery role — ideally with at least 2 years involving AI/ML products Demonstrated experience delivering software or AI products in enterprise or public sector environments Experience working in Agile/Scrum environments with cross-functional teams Technical Depth Strong conceptual understanding of Generative AI (LLMs, RAG, fine-tuning), Agentic AI frameworks (LangChain, LangGraph, AutoGen or similar), and how these get deployed in production Familiarity with cloud platforms — GCP preferred; AWS or Azure acceptable Working knowledge of APIs, databases (SQL/NoSQL), system integration patterns, and data security/compliance Ability to code or script in at least one language — Python strongly preferred Mindset & Behavioral Traits Consulting mindset: structured problem-solving, hypothesis-driven thinking, client-first orientation Aggressive ownership: you do not wait to be told, you identify gaps and fill them Forward-looking: you are already thinking two sprints ahead and one product version ahead High bias for clarity: vague requirements are your enemy and you know how to eliminate them Comfortable with ambiguity in a fast-moving deeptech environment Willingness to travel — domestic and potentially international, including client sites across Tier 1 and Tier 2 cities Executive presence — reporting to the CEO means you will regularly represent Valiance in senior client and partner conversations; you need to show up accordingly Good to Have Prior exposure to public sector / government digital transformation projects Experience with sovereign AI, data residency, or compliance-heavy environments Familiarity with DPDP Act, data governance frameworks, or security compliance standards relevant to Indian public sector Why Join Valiance Your work will shape company direction, not just project outcomes Work on AI that actually matters — citizen services, critical infrastructure, enterprise transformation — not vanity AI projects Real decision-making authority from day one in a fast-moving deeptech environment Work with a team of 200+ engineers and data scientists at the cutting edge of applied AI Google Cloud Partner ecosystem — exposure to enterprise-grade cloud and AI tooling Competitive compensation with performance-linked upside Fast career growth in a company recognized nationally for AI innovation