
Director Product Management (Machine Learning)
- Bangalore, Karnataka
- Permanent
- Full-time
- Own and drive the product roadmap for all AI/ML engines powering InMobi DSP's performance and efficiency.
- Partner closely with Data Science, Engineering, Trading, Sales, and GTM teams to define, prioritize, and deliver features that improve advertiser outcomes (CPI, ROAS, LTV).
- Define clear product requirements and success metrics for machine learning models (e.g., CTR prediction, user scoring, conversion models).
- Guide the evolution of our model training pipelines, feature stores, user identities, real-time inference, and feedback loops for continual learning.
- Evangelize the data and signals collection, standardization, retention across the InMobi group in a Privacy-first manner
- Translate business strategy into ML product strategy that balances innovation with operational rigor
- Drive adoption of AI/ML models across the business stakeholders
- Build a strong culture of experimentation and data-driven product development
- 8-12 years of experience in Product Management, with at least 5 years building AI/ML-based products (preferably in the AdTech or performance marketing domain)
- Proven experience working with large-scale distributed systems, ML pipelines, or real-time decision engines
- Good understanding of programmatic advertising ecosystem
- Prior experience with ML infrastructure products is a plus.
- Solid grasp of machine learning concepts, including supervised learning, reinforcement learning, data and model drifts, experimentation frameworks, etc.
- Experience working with data science teams to convert models into production systems.
- Familiarity with MLOps, real-time inference, A/B testing platforms, and feature engineering pipelines.
- Strategic thinking and ability to align AI/ML roadmap with business goals.
- Strong analytical mindset and data fluency to define and evaluate product success.
- Excellent written and verbal communication skills; ability to influence across functions and seniority levels.
- Passion for mentoring and building high-performance product teams
- Bias for action, and a passion for building in fast-paced, cross-functional environments