InMobi - Senior Product Manager- ML Decision Systems (Demand Side Platform)
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Requirements
• 7+ years of Product Management experience • 3+ years owning ML-powered or data-driven products in production. • Experience in real-time or large-scale decision systems where model outputs directly impacted runtime decisions (e.g., marketplace optimization, pricing engines, ranking systems, fraud models, search/recommendation) • Experience designing and interpreting A/B experiments. • Experience working closely with Data Science and Engineering teams. • Strongly Preferred (But Not Mandatory) • Experience in AdTech, MarTech, digital advertising, or marketplace platforms. • Exposure to auction systems or dynamic pricing models. • Experience building products in high-scale consumer or fintech platforms. • Full-time MBA education • Technical & Analytical Expectations • You do not need to build models, but you must be comfortable with: • Prediction targets vs automated decisions • Offline vs online metrics (e.g. AUC, calibration, precision-recall) • Guardrails and business trade-offs • Loss functions (conceptual understanding) • Model drift and retraining cycles • Data pipelines and real-time latency constraints • Ability to: • Write structured PRDs • Analyze performance metrics • Reason about trade-offs quantitatively • Experience with SQL or basic data analysis tools is preferred. • What Makes You a Strong Fit • High ownership mindset: you own outcomes, not tasks. • Strong marketplace intuition (supply-demand, incentives, trade-offs). • Comfortable operating in high-ambiguity environments where signals are imperfect and trade-offs are multi-dimensional. • Strong cross-functional influence. • Bias for action and measurable outcomes. • Comfortable navigating failure and iteration cycles. • Experience with GenAI/LLMs and rapid prototyping. • Experience building ML experimentation frameworks. • Experience mentoring junior PMs.
Responsibilities
• Define business objectives and translate them into ML-driven decision systems with direct impact on revenue, margin, auction efficiency, etc. • Own end-to-end lifecycle of ML initiatives: problem framing, signal validation, modeling alignment, experimentation, rollout, monitoring & iteration • Partner closely with Data Scientists and Engineers to ship real-time ML systems at scale. • Define success metrics, guardrails, and experimentation frameworks. • Drive auction/pricing/optimization strategies balancing revenue, performance, and risk. • Own business impact and continuously optimize deployed models. • Manage cross-functional squads focused on measurable business outcomes.
Benefits
• You’ll work on: • Core economic engines of a global DSP with direct revenue impact. • High-scale ML systems powering millions of real-time decisions. • Marketplace optimization problems with measurable business outcomes. • Operate with autonomy in a transformational phase of a global DSP platform. • The InMobi Culture • The InMobi Culture • At InMobi, culture isn’t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences. • We thrive on challenges and seize every opportunity for growth. Our core values — thinking big, being passionate, showing accountability, and taking ownership with freedom — guide us in every decision we make. • We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. • InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace. • Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!
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