About the opportunity
We are assembling a compact, high-velocity AI product squad to turn complex workflows and data into useful, production-grade products. We are looking for a hands-on product leader who can move from an ambiguous problem to a tested product, then stay with it through deployment, adoption and measurable impact.
This is not a coordination-only product role. You will work directly with users, senior stakeholders, AI and data architects, engineers and design-minded builders. You will bring a forward-deployed mindset: close to real workflows, technically credible and accountable for whether the product succeeds in practice.
What you will own
- Discover and prioritize high-value user problems through interviews, workflow observation, data analysis and rapid experimentation.
- Own the full 0-to-1 product lifecycle: opportunity framing, product strategy, requirements, prototyping, validation, launch, adoption and iteration.
- Translate messy business needs into crisp product decisions, user journeys, technical requirements, evaluation plans and delivery milestones.
- Partner closely with AI, data and software engineers to shape data foundations, model behavior, agent workflows, interfaces and production architecture.
- Decide when to use agentic AI, retrieval-augmented generation, conventional machine learning, deterministic software or a simpler operational change.
- Define product and AI quality measures, including adoption, task completion, output quality, groundedness, latency, cost, reliability and user trust.
- Design feedback loops, human-in-the-loop controls and operating processes that make AI products safer and better over time.
- Use AI-native tools such as Cursor, Codex and Claude Code to explore ideas, create lightweight prototypes and communicate more precisely with engineers.
- Build a focused roadmap, make explicit trade-offs and maintain momentum without adding unnecessary process.
- Stay close to users after launch, identify where the product breaks down and convert real usage into the next product decision.
What we are looking for
- 5+ years of experience in product management or an adjacent product-building role, with increasing ownership and scope.
- Evidence of having shipped at least two or three AI- or data-powered products from discovery through real-world use.
- A strong technical foundation. You can engage credibly on APIs, data models, system trade-offs, model limitations and deployment constraints.
- Working knowledge of modern AI product patterns, including LLMs, agents, retrieval, tool use, evaluation, guardrails and human oversight.
- Strong product judgment: the ability to distinguish a compelling demo from a product that solves a repeatable user problem.
- Comfort operating in a small, fast-moving team where priorities evolve and individuals own outcomes rather than narrow functions.
- Clear written and verbal communication, strong stakeholder management and the confidence to challenge assumptions constructively.
- A record of using evidence and product metrics to make decisions, not simply tracking feature delivery.
Especially valuable
- Experience in an AI, robotics, developer-tools or data-intensive startup.
- A software engineering, data engineering or technical solutions background; comfort with SQL or lightweight coding is a plus.
- Experience with enterprise workflows, sensitive data, security, governance or regulated environments.
- Experience in forward-deployed, solutions engineering, consulting or customer-facing product roles.
- Being based in or within practical travelling distance of Bangalore is helpful, but not required.
What success looks like
- The squad works from a small set of well-understood user problems and explicit outcome measures.
- Promising ideas become working prototypes quickly, and weak ideas are stopped before significant engineering effort is spent.
- At least one meaningful AI or data product moves from discovery to real user adoption, with quality and business impact measured.
- Product, engineering, data and design decisions happen together, without slow hand-offs or unclear ownership.
- Users trust the products because limitations, evidence, failure states and human controls have been designed intentionally.
Work arrangement
This is a full-time remote role within India. Team members may occasionally be asked to visit a company or working location for planning, discovery or collaboration. Approved travel will be reimbursed in line with company policy.
Pay: ₹80,000.00 - ₹90,000.00 per month
Work Location: Remote