Product Operations Manager

The Product Operations Manager owns the operational backbone of our SuperApp home screen and experimentation pipeline across two core areas: UX and Personalization. In this role, you will turn the home screen into a reliably governed shared surface and manage our day-to-day A/B testing platform, ensuring Product Managers can focus on strategic decisions rather than technical test mechanics. You will partner closely with cross-functional teams in Product, Engineering, Data Science, and Design to align strategy, execution, and data quality. As the central coordinator for our shared surfaces, you will manage the experimentation intake process, maintain the single source of truth for all active tests, and ensure conflicting feature launches never collide. Key Responsibilities Impact & Scope Strategic Impact: Scales SuperApp experimentation from ad-hoc to a governed, dependable capability. Protects the home screen's integrity by ensuring UX changes, new verticals, and personalization logic roll out without conflict or regression Financial Impact: Accelerates validation of features driving multi-vertical revenue. Enforces guardrails (SRM, early stops) to prevent revenue-negative changes Geographic Scope: Global—owns the experimentation pipeline across all SuperApp markets Collaboration & Communication Experimentation Guard: Manages the full experiment lifecycle: partners with PMs on test design, self-serves/configures tests on the platform, and coordinates event tracking instrumentation plans with data engineers Process Owner: Acts as the single triage point for home-screen changes. Runs weekly experiment reviews and maintains documentation/runbooks Central Communicator: Maintains the master experiment dashboard and decision logs (ship/iterate/kill) for leadership; proactively communicates trade-offs and launch windows Skills, Knowledge and Expertise 3+ years in product ops, growth, or product analytics (Tech, mobility, or SuperApp experience preferred) Hands-on experience designing and running experiments, from hypothesis and power calculations (MDE, sample size) to analyzing metrics (primary, guardrail, SRM) for ship/kill decisions Comfort configuring, launching, and monitoring experiments day-to-day using in-house experimentation or feature-flag tools Strong event tracking literacy; able to define tracking plans, QA data coverage, and collaborate with data engineers Proficient in SQL and BI tools (Tableau/Looker) for data readouts, and JIRA for managing experiment pipelines Excellent communication skills to manage intake, triage competing requests, and influence cross-functional teams without direct authority Ability to build and maintain single-source-of-truth documentation, runbooks, and experiment review rituals Deep understanding of how UI/UX changes impact the user (rider/driver) experience, translating that empathy into strict product guardrails