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Lead the AI transformation for Lyft Marketing by identifying high-impact opportunities and building practical AI-powered solutions and agents. Drive organizational adoption through training, documentation, and the creation of scalable AI workflows and governance frameworks.
Requires 1-2 years of AI enablement experience, preferably within a tech company or marketing team, and a track record of implementing AI tools. Candidates should be self-starters comfortable working in matrixed organizations and ideally possess experience with Airtable, Weavy, and Figma.
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
We are looking for a hands-on applied AI lead to build on that foundation and help take Lyft Marketing into its next phase of AI transformation. This role will sit directly within the Marketing organization and partner closely with Creative, Growth, Brand, Media, Product Marketing, Marketing Operations, Legal, IT, Security, and external agency partners to identify high-impact opportunities, build practical AI-powered solutions, and embed new ways of working across the team.
The ideal candidate is both a builder and an operator. They can understand complex marketing workflows, identify where AI and automation can reduce friction, and then design, prototype, launch, and scale solutions that teams actually adopt. This person should be comfortable working across tools, systems, and stakeholders, while also rolling up their sleeves to build internal AI agents, automations, templates, playbooks, and enablement materials.
Success in this role will be measured by the quality, adoption, and business impact of the AI solutions delivered, including time saved, reduction in manual work, improved creative and campaign throughput, increased reuse of workflows and templates, and stronger AI capability across the Marketing organization.
Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. 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, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. 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, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected base pay range for this position in the New York City area is $108,000 - $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
Whether it’s an everyday commute or a journey that changes everything, Lyft is driven by our purpose: to serve and connect. In 2012, Lyft was founded as one of the first ridesharing communities in the United States. Now, millions of drivers have chosen to earn on billions of rides. Lyft offers rideshare, bikes, and scooters all in one app — for a more connected world, with transportation for everyone.
Offices: 185 Berry Street, San Francisco, CA 94107, US
Based on 8224 listings with disclosed salaries, most technology jobs in New York pay between $97k–$225k per year. Individual offers vary with seniority, company size, and specialization.
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