Overview
Leads product data and ML evaluation for an AI platform, owning data stack, metrics, A/B testing, and pricing strategy while collaborating with PMs, data scientists, and engineers.
Full job description
We are seeking for a Technical Product Manager (UAE National) to be based in Abu Dhabi. The role is to be the product owner for all things product data and ML evaluation for Ask. You’ll lead a data and eval squad, you’ll partner closely with PMs, data scientists, ML engineers, and platform teams to ensure we ship measurable, safe, and delightful AI features.
Other responsibilities:
- Own the product data stack end-to-end across squads: telemetry, event schemas, tracking plans, data quality, warehousing, and accessibility of metrics both for our on-premise and our SaaS offerings.
- Define the product metrics framework (north stars, input metrics, leading indicators) and help stakeholders build reliable dashboards.
- Build/own ML evaluation loops
- Design and analyze A/B tests - help create a framework for testing our customers’ agents and our “hyper-parameters.
- Ground pricing strategy in data: analyze feature/cost relationships, develop value-based pricing models, and create metrics
- Event naming, governance, PII handling, retention, and privacy-by-design in collaboration with Security/Legal teams.
Requirements
To be considered for this role, you must have:
- 5–8+ years of experience in product roles with a strong engineering or data background (e.g., software, data engineering, ML engineering, analytics engineering) in tech product companies
- Proven ownership of instrumentation, analytics, and experimentation for a product surface or platform
- Deep comfort with SQL and experimentation stats (power, MDE, CUPED, guardrail metrics); able to sanity-check analyses and run your own when needed
- Practical experience working with ML-powered products and their evaluation (offline test sets, online metrics, drift/monitoring)
- Strong product sense + stakeholder management; able to drive clarity across PM, DS, Eng, and Execs
- Comfortable using AI tools to prototype analyses or small utilities (e.g., generate code for ETL, dashboards, or validators)
To view other vacancies we have, please check our website () and follow us on our social media accounts - LinkedIn / Facebook / Twitter / Instagram
Disclaimer: Black Pearl will never ask for money or any form to charge our candidates just to process or consider their application for any of our available vacancies. If you happen to receive such request from any members of our staff or other individuals claiming to be part of Black Pearl, please do call our office at +9712 622 55 03 or drop us a message on our website.
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