Senior Data Specialist
Company Description Aleph-Labs is a creative engineering company founded in 2006 and headquartered in Singapore, serving clients across the Asia Pacific region. The team plans, designs, and delivers financial, internet, mobile, and desktop solutions, combining strong technology expertise with thoughtful design. Aleph-Labs has grown from a small startup to nearly 300 team members, maintaining a collaborative, borderless culture across markets. The company is deeply user-centric, focusing on user experience to guide product development and create applications that people enjoy using and clients value. Aleph-Labs is driven by solving real problems through practical, flexible solutions and encourages team members to dream big and make ideas happen.
Role Description 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.