Engineering Manager, Rider Growth
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Engineering Manager, Rider Growth: Build and lead a cross-functional engineering squad focused on driving sustainable rider acquisition, activation, retention, and lifetime value (LTV). Focus on rider onboarding, retention frameworks, and promotional engines to shape rider demand and maximize ridership.
Location: Onsite in Mountain View, California
Salary: $251,000—$310,000 USD
Company
is an autonomous driving technology company with the mission to be the world's most trusted driver.
What you will do
- Recruit, mentor, and grow a diverse, inclusive, and highly skilled engineering team.
- Partner with Product Management, User Experience (UX) Design, and Data Science to 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.
- 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.
- Champion a highly quantitative, data-driven engineering culture.
Requirements
- 4+ years of experience directly managing and scaling high-performing software engineering teams.
- 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).
- Deep, practical experience running systematic product experiments (A/B testing, multivariate testing).
- Fluency in using data analytics tools (SQL, Python/Pandas, Tableau, etc.).
- The ability to thrive in a fast-paced, evolving environment.
Nice to have
- Extensive experience scaling B2C products by driving measurable improvements across the Acquisition, Retention, and LTV (Lifetime Value) lifecycle.
- Proven success architecting ML-driven systems for real-time offer surfacing and ranking, leveraging techniques like Multi-Armed Bandits to optimize incentives at scale.
- Outstanding communication and collaboration skills.
Culture & Benefits
- Eligible to participate in ’s discretionary annual bonus program.
- Equity incentive plan.
- Generous Company benefits program, subject to eligibility requirements.
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