Product Manager, AI & Data Products

Company Description Aleph-Labs is a creative engineering company founded in 2006, strategically headquartered in Singapore and operating across the Asia Pacific region. The team of nearly 300 professionals collaborates across borders to design and deliver financial, internet, mobile, and desktop solutions for diverse clients. By combining deep expertise in both technology and design, Aleph-Labs effectively bridges the gap between user experience and technical implementation. The company is strongly user-centric, focusing on building applications that people love to use and that clients are proud to own. Team members are encouraged to apply their unique talents to solve complex challenges and create functional, flexible, and innovative products.
Role Description This is a full-time Product Manager, AI & Data Products role based in Bengaluru South, with a hybrid work arrangement that allows some work from home. The Product Manager will define and drive the vision, strategy, and roadmap for AI-driven and data-centric products, ensuring they align with client needs and Aleph-Labs’ user-centric approach. Day-to-day responsibilities include gathering and prioritizing requirements, collaborating with engineering, data science, design, and business stakeholders, and translating customer and market insights into clear product specifications and user stories. The role involves overseeing the product lifecycle from discovery and experimentation through development, launch, and iterative improvements, using data to validate hypotheses and guide decision-making. The Product Manager will also monitor product performance, manage backlogs, coordinate releases, and communicate progress and risks to stakeholders, while ensuring compliance with relevant data governance and security standards.
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.
Qualifications
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.
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.
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.
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
No