Company Description Aleph-Labs is a creative engineering company, founded in 2006 and headquartered in Singapore, with operations across the Asia Pacific region. The team of nearly 300 professionals designs and develops financial, internet, mobile, and desktop solutions for a diverse set of clients. Aleph-Labs is known for its ability to bridge design and technology, delivering functional, flexible, and user-centric products.

The company maintains a robust, collaborative culture across borders, encouraging people to apply their unique talents to solve complex problems. Aleph-Labs focuses on creating applications that users enjoy and clients are proud to own, turning challenges into opportunities for innovation.

Role Description The Product Manager, Data & AI Products, will lead the end-to-end lifecycle of data and AI-driven products, from discovery and definition through launch and ongoing optimization. This full-time, hybrid role is based in Mysore, with flexibility for some work-from-home arrangements. Day-to-day responsibilities include gathering and prioritizing product requirements, defining product roadmaps, coordinating with engineering, data science, design, and business stakeholders, and ensuring alignment with client and user needs.

The role involves translating business objectives into measurable product outcomes, overseeing experiments and data-driven improvements, and monitoring performance metrics to guide iterative enhancements.

The Product

Manager will also prepare product documentation, participate in client presentations and reviews, and help foster a culture of innovation and responsible AI within the team.

Qualifications

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.
- Work Location: Remote

📌 Product Manager Data AI Products (Budget upto 24 LPA) (Mysuru)
🏢 Aleph-Labs
📍 Mysuru