Data Engineer - Products

The candidate will have responsibilities across the following functions:
Data Product Ownership:
Own the product roadmap for ConvoTrack's data ingestion, processing, and intelligence layers.
Define how data pipelines feed AI agents ARIA Fast, ARIA Deep, and Social Persona.
Drive decisions around data quality, freshness, and scale across a 500M+ video corpus.
Translate complex data architecture into simple, high-impact product features for enterprise clients.
Data Engineering Collaboration:
Partner closely with data engineers to design scalable ETL pipelines and data models.
Define data contracts, schemas, and SLAs that power product reliability.
Identify data gaps and work with engineering to close them fast.
Bridge the gap between raw data infrastructure and AI-ready product features.
Execution:
Write clear PRDs with data specs that engineers can act on immediately.
Talk to enterprise users, CMI heads, brand managers and turn feedback into data product decisions.
Track and improve product metrics: data latency, accuracy, pipeline health, and user engagement.
Work remotely with speed and ownership; we move in days, not sprints.
Requirements:
2-5 years of experience with at least 1-3 years in data engineering or data analytics.
Strong hands-on knowledge of SQL, ETL pipelines, and data modelling.
Transitioning into or already operating in a Product Management role.
Ability to read, interpret, and write data queries to drive product decisions independently.
Strong product thinking, breaking complex data problems into clean product solutions.
Excellent communication and stakeholder management in a fully remote environment.
Exposure to AI/ML pipelines, LLMs, embeddings, or vector databases.
Experience with tools like dbt, Airflow, Spark, BigQuery, or Snowflake.
Familiarity with agentic AI frameworks (LangChain, CrewAI, or similar).
Background in social analytics, CPG/FMCG, or consumer research.
Engineering or technical degree from a Tier 1 institution.

Experience
2-6 yrs