Group Product Manager, Matching and Fulfillment (Rideshare)

Group Product Manager, Matching and Fulfillment (Rideshare)

At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Community is what we are and it’s what we do. It’s what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they bring.

The Product Management team works closely with our engineers to guide products from conception to launch, and with our business partners to generate profitable revenue streams. You will be responsible for bringing exceptional strategic and analytical skills to define our strategy and lead our execution in this highly cross-functional technological area. Through your leadership, you’ll bridge technical, business, and operations worlds as you design technologies with creative and prolific engineers, leverage your technical expertise to identify setbacks and roadblocks within a project and generate solutions for resolving them quickly. You will have a bias for action to break down complex problems into steps that drive product development at Lyft speed.

Matching and Fulfillment is central to the Lyft marketplace and how riders and drivers experience Lyft: estimating ETAs and the cost of fulfillment, optimizing driver-rider matches, and delivering on our on-time promise. The Matching and Fulfillment group is responsible for dynamically matching supply and demand to balance drivers’ expectations, riders’ expectations and Lyft’s objectives. To accomplish this mission, the group PM will:

• Work with most Lyft teams, leading prioritization and alignment on Matching and Fulfillment strategy
• Lead a team of Product Managers responsible for Matching and Fulfillment products and technology
• Design algorithms to maximize expected business and user outcomes given real-time costs, preferences, and elasticities
• Design algorithms to estimate optimal ETAs and matching costs across modes (Standard, Wait & Save, Priority Pickup, etc) based on their unique costs and supply consumption
• Design algorithms to assign drivers to riders, leveraging passenger waiting time to increase profit and ride conversion
• Design the infrastructure and services to support Matching and Fulfillment across the Rideshare platform

This individual should:

• Have an Operations Research/ML/algorithmic background
• Have shipped products in deeply technical and analytical domains - able to use data and experimentation to guide a large cross-functional team towards a long-term vision
• Be detail-oriented and able to dive deep into complex technical concepts, but also abstract them to executives, stakeholders, operations, and legal
• Maintain a strong POV on what to build for our customers, amidst many different stakeholders with different goals and world-class scientists + engineers on the team
• Have experience managing, coaching, and developing a small team of PMs to execute and lead teams flawlessly
• Understand data pipelines, event driven systems and machine learning workflows
• Identify existing gaps in the rider and driver experience and propose novel solutions to bridging those gaps effectively

Responsibilities:

• Define shared vision + strategy across Matching and Fulfillment teams (Offer Generation, Matching, Infrastructure)
• Work closely with partner teams to represent the Matching and Fulfillment perspective on new initiatives, define requirements, and prioritize asks
• Manage a group of PMs to execute together on shared strategy
• Develop and own quarterly and yearly roadmaps and financial impact for multiple engineering and science teams 
• Write product requirements documents and review experiment design docs and technical specifications for strategic projects across Matching and Fulfillment
• Ideate impactful projects, then break them down into MVP and further milestones to test and develop the hypothesis through fast experimentation, pivoting when the data hints
• Contribute to teams and initiatives across the whole Rideshare Marketplace organization

Experience:

• Minimum of three years of product management experience
• At least two years of people management experience, with at least one year of experience managing PMs
• Experience managing Operations Research/ML/algorithmic products across any domain
• Natural ability to make things happen around you. You manage project ambiguity, complexity and interdependencies in an organized and structured way
• Track record of defining and analyzing metrics that inform the success of products
• Excellent judgment and thoughtfulness about the dynamics of a product ecosystem
• Strong communication skills and intuition for communication strategy at every level -- within teams, within the company, to users
• Experience running A/B tests and using common statistical techniques to evaluate results
• Experience leading post-launch optimizations including developing testing strategies
• Ability to conceptualize, manage and prioritize multiple projects for stakeholders
• Superior organizational skills -- balancing multiple projects, deadlines, and requests should be second nature to you

Benefits:

• Great medical, dental, and vision insurance options
• Mental health benefits
• Family building benefits
• In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
• 401(k) plan to help save for your future
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Pre-tax commuter benefits
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.  

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.

The expected range of pay for this position in the San Francisco area is $194,000 - $215,000 Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.