Technical Project Manager

You'll run cross-functional programs spanning engineering, AI/ML, product, and customer success, including enterprise customer rollouts. Success in this role means leadership trusts your delivery dates, engineers see you as a force multiplier rather than overhead, and customers go live without surprises.

Location: Bengaluru, on-site

Reports to: Head of Product

Experience: 4 - 6 years

What you'll do

Own end-to-end delivery of cross-team initiatives: break them into milestones, map dependencies, and drive them to launch

Run the delivery cadence with engineering and product: cycle planning support, risk tracking, decision logs, and weekly status for leadership

Coordinate AI feature delivery where timelines depend on model quality, keeping evals, quality benchmarks and ship/no-ship criteria visible alongside engineering progress

Bring market research domain experts into the build loop so their definition of a good output shapes what we ship

Lead enterprise customer implementations with Customer Success: pilots, data onboarding, integrations, security reviews and go-live plans

Turn recurring customer asks and implementation pain into clear inputs for the product roadmap

Spot when an estimate is unrealistic or two teams are building conflicting things, and resolve it early

What we are looking for

4–6 years across technical program management, engineering, solutions engineering or implementation, with at least 2 years owning cross-team delivery

A track record of shipping software products to enterprise B2B customers

Enough technical depth to discuss architecture, APIs and data pipelines credibly with engineers and challenge estimates

Experience managing work with uncertain timelines, ideally ML or data-heavy products where quality is measured, not assumed

Comfort in customer-facing settings, including running implementation calls and managing delivery commitments with US-based clients

Clear, concise written communication: status updates, plans and trade-off docs that leadership can act on

A bias for action and comfort with ambiguity in an early-stage, fast-changing environment

Nice to have

Hands-on experience with LLM-powered products: evals, prompt iteration, or working alongside ML engineers

Background in or exposure to market research, survey platforms, analytics or insights tooling

Experience as an early TPM or program owner at a Series A-C startup

A prior engineering role, so you've felt the other side of the delivery plan

Why Metaforms

A real apprenticeship into product management close mentorship from senior PMs and senior engineers, not a sink-or-swim first job.

Work on AI products that operate in real production environments, not demos or feature theater.

Join a team where product, engineering, and domain understanding are tightly coupled.

Visible, real work from day one your notes, write-ups, and small feature areas genuinely shape what gets built.

Join a Series A funded company at the steepest part of its growth curve.