Zingle AI Research Lab is a San Francisco-based deep-tech startup building an AI-native platform for analytics teams. Backed by Accel and Nexus. Our team includes AI PhDs, researchers, senior technologists, and serial entrepreneurs.

We're hiring a Product Manager - Data with a data engineering background.

Hands-on IC role. You're not here to coordinate between teams or delegate tickets. You figure out what to build, get into the technical details yourself, and ship it.

Responsibilities:

Own what gets built across pipelines, governance, cost, orchestration.
Keep up with the data + AI space. Not just the big announcements. The tools, the shifts in how people are actually working.
Be in the code daily. Read PRs, understand what's happening, catch problems early.
Talk to users - data engineers, analysts, data leaders - and figure out what actually matters vs. what sounds good in a feature request
Build demos or prototypes when that's faster than writing a spec

Requirements:

3-5 years of data engineering (dbt, Airflow, Spark, Snowflake/Databricks/BigQuery etc); 4-6 years overall experience
Top IIT grad or ex-founder
First-principles thinker. Breaks down ambiguous problems. Comfortable saying "I don't think this is right" and backing it up.
Good product sense - knows what users need, not just what they ask for
Plus: strong written and verbal communication
Big plus: can build web demos or prototypes to test ideas before production code gets written

Location: Bengaluru (in-person)

Compensation & Benefits:

Competitive compensation with meaningful ESOPs
Work with founders, AI researchers, and senior engineers directly
Opportunity to build core IP at an early-stage, high-bar deep-tech startup
Long-term ownership and visibility across product, AI, and engineering

Product Manager - Data (ex: Data Engineer)