Lead product strategy and experience optimization for routing, ETA prediction, maps, and in-app navigation. Drive UX improvements for drivers and passengers, partner with Design and Research, manage complex cross-functional roadmaps, and oversee frequent A/B testing and statistical analysis. The role requires strong product management experience in mapping, ride-hailing, or delivery, technical architecture awareness, UX judgment, and stakeholder management skills.
inDrive is a global marketplace operating across 47 countries and 1,200+ cities, where riders set their price and choose between competing driver offers. Because every offer displays a pick-up ETA, accuracy directly drives matching—shaping which offer wins, what riders pay for speed, and whether drivers bid.
As the founding PM of the Geo ETA squad, you will own the end-to-end arrival promise for rides and multi-leg deliveries. Sitting on top of core routing, you’ll manage display policies, post-acceptance revisions, and critical non-routing factors like driver reaction times and merchant prep. You’ll solve the core marketplace trade-off: balancing unpaid driver wait times from early arrivals against user churn from late ones.
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.
Final benefits may vary depending on the location.
About
inDrive is a global tech company on a mission to challenge injustice through fair choices. We started in 2012 in the coldest city on Earth, when a group of friends created a way for people to agree on fair ride prices. That idea grew into one of the world’s top ride-hailing apps, now with 400M installs across 47 countries.Today, we offer more than rides: from freight and delivery to intercity travel and financial services, all designed to put people first. We are committed to having a positive impact on people’s lives both through our core business, which supports local communities via a fair pricing model; and through the work of our impact programs. Ready to ignite your inner drive?
Similar Jobs
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Provides systems safety engineering for aircraft turbine engines and auxiliary power systems. Conducts hazard and safety analyses, develops safety requirements and documentation, supports FAA and EASA compliance, performs reliability analysis, and reviews designs. Collaborates across engineering teams on risk mitigation, corrective actions, and aftermarket safety metrics. The role also supports process standardization, automation, AI application, technical coaching, innovation, and strategies to reduce certification cycle time and cost.
Top Skills:
Artificial IntelligenceDoorsDoors NgModel-Based Systems Engineering
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Leads embedded software and firmware development for processor simulators and emulators, including requirements, architecture, design, coding, qualification, and technical support. Develops QEMU and KVM-based tools, ports Linux or RTOS to SoCs, and works with ARM architectures and low-level hardware interfaces. Owns simulator strategy, roadmaps, issue resolution, design decisions, stakeholder collaboration, process improvement, and team mentoring while driving innovation and competitive product development.
Top Skills:
ArmAssemblyBitbucketCC++Do-178B/CDo-330DoorsEclipseEthernetGdbGpioKvmLauterbachLinuxMpsocPciQemuRtosSocSvnTrace32Visual Studio
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Leads reactive and proactive incident response engagements across India and APAC. Performs advanced host and network forensics on Windows, macOS, and Linux; advises customers during security incidents; develops remediation plans; presents findings to technical and executive audiences; and mentors junior team members. The role also involves threat intelligence, adversary attribution, thought leadership, and applying AI technologies to improve workflows and decision-making.
Top Skills:
Artificial IntelligenceComputer Forensics ToolsLinuxmacOSNetwork Analysis ToolsNetwork ProtocolsWindows
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
