Ayush Jain

2024 - 2026 (2y)

• Led product strategy for MS Teams’ Feedback Intelligence platform - a production Gen AI decision-intelligence system processing XXK+ monthly engineering feedback reports through LLMs, RAG orchestration, multi-agent workflows on Semantic Kernel, and embedding-based vector search - converting heterogeneous telemetry into routing, deduplication, and RCA decisions at enterprise scale. • Built the function’s operating system: authored OKRs and KPI framework with clear baselines and goals for routing, deduplication, fix rate, and time-to-mitigation; used by leadership to evaluate AI investment decisions. • Delivered the engineering-efficiency outcomes that defined the platform’s success: routing accuracy (+XX%), automated duplicate identification (+XX%), issues fixed (+XX%), and time-to-fix (-XX days) - outcomes attributable to product decisions on AI architecture, eval design, and prompt governance. • Designed the eval and governance framework for the LLM stack - offline replay, shadow mode, regression gates, and human-feedback loops - ensuring AI quality improvements were auditable and that prompt or model changes never regressed production engineering metrics.

2021 - 2024 (3y)

• Product Leader of Rides New Users vertical of Bolt’s ride-hailing business - a 13-person cross-functional team of engineers, designers, and analysts spanning 50+ countries and 150M+ users. Owned the investment ROI case for the vertical - incremental GMV against fully-loaded team cost, the formal input to semester-by-semester headcount allocation across the company - delivering 8x ROI. • Designed and executed the New Users Strategy that lifted activation rate by +11pp and delivered €XXX Million+ in incremental annual GMV - the highest cumulative impact in the New Users team’s history and ~41% of the parent RiderX group’s contribution. • Built the analytics and experimentation operating system for the vertical from a state where critical funnel performance data was unavailable - defining the Visitor ID auth-type for randomized experimentation, the AB scorecard metrics, and the impact-analysis discipline. • Led multi-quarter, multi-team initiatives spanning Rider, Driver, Marketplace, Identity, Commerce, Comms, Compliance, and Country teams - including Multiple Stops (+0.X% GMV/user, +0.XX% finished trips/user), Smart Pickups (−0.X% wait time, −0.X% cancellations), Pre-Auth improvements (€XXM+ annual GMV), and Pickup Notes (−0.X% cancellations, −0.X% no-shows). • Drove product decisions for market expansion into Thailand, Spain, and Barcelona - partnering with country and compliance teams to navigate regulatory differences across pricing transparency and identity. Launched country-specific payment integrations: Mobile Money (Africa), Google Pay (Global), BLIK (Poland), iDeal (Netherlands), Swish (Sweden).

2019 - 2021 (2y)

Product Management at RummyCircle (Real Money Game by Games24x7). Games24x7 is India's most successful gaming business with a full-stack portfolio of Skill Games and Casual Games! Leading a team of 2 PMs for the following portfolios. Withdrawal Acceleration: • Building features to accelerate the withdrawal process and workflow for identified user cohorts for overall retention improvement. • Improving the Cash Withdrawal Process for the players with the objective of improving the players' withdrawal rate, retention and revenue. • KPIs impacted: Withdrawal Attempts, Withdrawal Success Rate, D30 ARPU, D30 Retention. $XXM revenue gain. Signup and Login Improvements: • Revamping Signup and Login experience for users via iterative A/B experiments. • KPIs impacted: Install to Registration XX%, Registered Users to Paid Users Converts XX%. Payments Initiative: • POC for all payment partnerships. Executed a series of improvements leading to success rate improvement of XX%. • Partnered with best in payments industry companies to further improve our payment experience leading to additional revenue of $XXM. • Built the in-house transactions router to get the best success rate among all our payment partners. Up-skilling Initiative: • Building features with the objective of up-skilling (training on key aspects of the game) the players; built on top of a Data Science model which analyses the gameplay of the identified best players on the platform. • Expert Tips are showcased to the users at the calculated intervention points, leading to improvement in gameplay. • KPIs impacted: Win rate, D30 Retention, D30 ARPU, Drop Adherence. $XXM revenue gain over the year.

2018 - 2019 (1y)

Responsible Gaming Initiative: • Using a Data Science model, identifying the risky players who are addicted to the game and are playing beyond their means. • Taking them through an alternate product journey and getting them through psychological counselling, modifying gameplay experience for them leading to alleviating their risk to themselves. • KPIs Impacted: Fill rate of the intervention journey. Reduction in false positives. $XXM revenue saved annually.