Technical Lead Manager (Rider Growth)

Responsibilities As the Engineering Manager for Rider Growth, you will build, lead, and inspire a high-performing, cross-functional engineering squad (comprising backend, full-stack, and mobile engineers) focused on driving sustainable rider acquisition, activation, retention, and lifetime value (LTV) The team will build features that educate and onboard new riders to driverless technology, design subscription and loyalty programs that drive daily commuter habits, and leverage machine learning and economics to optimize dynamic promotions that shape passenger demand to match fleet availability Recruit, mentor, and grow a diverse, inclusive, and highly skilled engineering team. Foster a culture of high ownership, rapid iteration, and technical craftsmanship Partner with Product Management, User Experience (UX) Design, and Data Science, define the strategy and execute a roadmap aimed at accelerating rider growth and retention Lead the technical strategy for rider onboarding, focusing on shrinking the time-to-value (TTV) from app download to the first driverless trip. Build smooth UX flows that solve high cognitive trust barriers, educate riders on vehicle safety, and optimize physical pickup/drop-off logistics Architect and scale rider retention frameworks, including subscription services, commuter packages, and loyalty programs that incentivize frequent, habitual riding Collaborate with ML scientists and economists to design and scale highly reliable, low-latency promotional engines. Build backend systems that distribute personalized, budget-capped promotions to shape rider demand and maximize incremental ridership Champion a highly quantitative, data-driven engineering culture. Drive standard-setting experimentation practices, ensuring the team runs robust A/B tests, interprets statistical outcomes accurately, and rapidly integrates learnings back into the product Oversee the scalability, latency, and reliability of your team’s services. Ensure seamless, high-performance integrations with Waymo’s core routing, fleet dispatch, pricing engines, and billing ledgers Benefits Medical, dental, and vision insurance for employees and dependents Employee assistance programs focused on mental health Personalized workplace adjustments for diverse needs and abilities, including physical, mental, and neurodivergent considerations Access to mental health apps Onsite wellness centers Counseling services Medical advocacy program for transgender employees Support programs including menopause benefit Second medical opinion for you and your loved ones Competitive compensation Regular bonus and equity performance grant opportunities Generous 401(k) and regional retirement plans 1-on-1 financial coaching Annual cross-company compensation review and pay equity analysis Fertility and growing family assistance Parental leave and baby bonding leave Elder care and support Survivor income benefit Backup childcare Caregiver leave Paid time off, including vacation, bereavement, sick leave, parental leave, disability, and holidays Jury duty leave Military leave Hybrid work model with remote work opportunities also available Educational reimbursement Peer learning and coaching platform Donation matching programs Volunteer hours Employee resource groups Internal community groups and local culture clubs Inspiring spaces to work, recharge, and collaborate with fellow Waymonauts On-site meals and snacks Fitness centers, massage programs, and ergonomic support On-demand fitness, wellbeing, and cooking classes Commuter benefits Qualifications Deep, practical experience running systematic product experiments (A/B testing, multivariate testing) with a strong grasp of statistical significance, experimental design, and cohort analysis. 6+ years of hands-on software development experience building highly scalable, distributed backend systems (Go, Java, C++, or Python) and/or high-performance B2C mobile applications (iOS/Android). Fluency in using data analytics tools (SQL, Python/Pandas, Tableau, etc.) to diagnose user drops, analyze funnel health, and identify new conversion opportunities. The ability to thrive in a fast-paced, evolving environment, managing multiple parallel product experiments while maintaining absolute engineering craftsmanship. 4+ years of experience directly managing and scaling high-performing software engineering teams, with a strong track record of mentoring senior and staff-level engineers. Proven success architecting ML-driven systems for real-time offer surfacing and ranking, leveraging techniques like Multi-Armed Bandits to optimize incentives at scale. Extensive experience scaling B2C products by driving measurable improvements across the Acquisition, Retention, and LTV (Lifetime Value) lifecycle. Outstanding communication and collaboration skills. You can seamlessly translate high-level business and economic goals into rigorous technical requirements and align stakeholders across the business. #J-18808-Ljbffr Waymo