Senior Product Manager (ETA)

Key Responsibilities

• Surface & Vertical Ownership: Manage pick-up and drop-off ETAs across all ride-hailing, delivery, courier, and intercity surfaces—from pre-order screens and driver bid cards to active trip tracking, lock screens, and widgets.
• The "Kept Promise" Framework: Define exact early/late arrival thresholds for pick-ups and drop-offs using behavioral data (cancellations, complaints, reorders) and enforce counter-metrics (like unpaid driver wait time) so teams can't game accuracy by over-padding.
• Non-Routing Realities: Account for real-world operational delays that traditional route engines miss, including post-acceptance driver reaction time, finishing prior trips, merchant prep times, courier dispatch, and door-to-door handovers.
• Conversion vs. Lateness Balance: Solve the core business trade-off between over-quoting (which lowers upfront order conversion) and under-quoting (which leads to lateness, rider cancellations, and lost trust).
• Data Science & Model Governance: Act as the product owner for ETA models—specifying post-acceptance refiners, offline/online evaluation sets, fallback logic, and city-level cold-start strategies in close alignment with Data Science.
• Cross-Team & System Resilience: Route systematic road/speed defects back to the Geo Way squad (rather than building redundant speed models), log all shown ETAs across all surfaces for auditability, and ensure reliability on low-end hardware and spotty connections.

Skills, Knowledge and Expertise

• 5+ years in Product Management within high-volume Mapping, Ride-hailing or Delivery business.
• Domain Expertise in Promises & Supply: Experience building time or availability promises (such as ETAs, delivery dates, dispatch/allocation, or capacity planning) that drive action for customers or operators.
• Behavior-Driven Thresholds: Proven ability to calibrate accuracy and quality standards directly against user behavioral data (e.g., cancellations, conversion rates, and retention).
• Advanced Experimentation: Ownership of rigorous experiment design—defining success/guardrail/exit criteria upfront, understanding statistical detection limits, and executing switchback or geo-split testing in interconnected marketplace environments.
• Technical & Data Science Collaboration: Strong analytical self-sufficiency (writing SQL and diagnosing metric movements), paired with experience specifying model evaluation/fallback strategies and identifying when simple rules outperform complex models.
• Two-Sided Marketplace & Stakeholder Management: Deep understanding of two-sided marketplace dynamics (balancing rider, driver/courier, and business outcomes) alongside the ability to push back on senior leadership requests using data-backed alternatives and safe testing paths.
• Communication: Business-fluent English proficiency (B2/C1+ or equivalent).

Why join us

• Help us challenge injustice by creating fair choices for millions of people across 47 countries.
• Develop your professional skills with access to mentoring, career consulting, and learning programs.
• Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
• Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
• Work alongside people who take initiative, speak openly, and challenge themselves to grow.
• Improve your language skills through co-financed courses and internal speaking clubs.