Ovii Job Board

Product Manager - Data

Reo.Dev

Bengaluru, India • Hybrid - Bengaluru, India • Full-Time • 4-6 years

Posted 2026-08-11 Tech & Engg

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Job Description

Ovii's Interpretation of the Role

We need a product leader to own the end‑to‑end data product lifecycle, turning raw signals into clean, model‑ready datasets that power AI‑driven intelligence for developer‑tool customers. The role partners closely with engineering and ML teams while managing data quality, coverage, and vendor relationships.

Role Snapshot

  • Own core data assets and product surface
  • Define and ship data products
  • Drive data quality & coverage
  • Manage data supply chain & vendor negotiations
  • Collaborate with engineering & ML teams
  • Prioritize roadmap based on impact
  • Write specs, run sprints, document deliveries

Must-Have Requirements

  • SQL
  • Python
  • Data pipeline knowledge (Airflow/dbt/Spark)
  • Data product management experience
  • Data product management
  • Early‑stage tech startup experience

Work Setup

  • Location: Bengaluru, India
  • Work mode: HYBRID
  • Employment type: Full-Time

Not Specified in JD

  • Salary range
  • Visa sponsorship
  • Remote eligibility
  • Education requirement
  • Certifications

What You'll Likely Work On

  • Own the core data assets, converting raw signals into clean, model‑ready datasets.
  • Build and ship data products that enable customer intelligence.
  • Ensure data quality and coverage as a product surface.
  • Manage the data supply chain: evaluate, negotiate, and decide between buy, crawl, or derive sources while maintaining unit economics and privacy/compliance.
  • Partner with engineering and ML teams to iterate quickly and ship features.
  • Ruthlessly prioritize roadmap items that move the needle and cut low‑impact work.
  • Write clear specifications, run sprints, keep the team aligned, and document all deliverables.
  • Think about growth, retention, and long‑term product value beyond individual features.

Good Fit If You Have

  • Hands‑on, fast‑execution mindset.
  • High bar for work quality and attention to detail.
  • Low‑ego, collaborative team player.
  • Growth‑oriented, comfortable with startup ambiguity.

Skills

  • Data product strategy
  • SQL
  • Python
  • Data pipelines (Airflow / dbt / Spark)
  • Data labeling & annotation
  • ML data consumption knowledge
  • Data quality assurance
  • Vendor negotiation
  • Agile sprint management