Marketing Technology Lead
Required skills
- B2B marketing technology stack
- marketing automation
- content and web
- data enrichment
- attribution
- solution design
- architecture
- data model
- Marketing Operations
- Sales Operations
Nice to have
- AI
- content
- campaign workflows
- evaluation
- adoption
- rollout
Role summary
Lyft is seeking a Marketing Technology Lead to manage its B2B marketing technology stack, including marketing automation, content, lead routing, data enrichment, and attribution. This senior technical role involves leading solution design, owning the architecture and data model for lead progression, and integrating AI capabilities. Responsibilities include hands-on configuration of HubSpot, building integrations, managing the technology roadmap, owning tracking and instrumentation, and overseeing the lead lifecycle. The role also involves identifying AI improvements, assessing and introducing new tools, setting technical standards, ensuring platform reliability, managing data governance, and overseeing the tool portfolio and budget. Collaboration with various internal teams and external partners is key. The position requires a Bachelor's degree or equivalent experience, 7+ years in marketing technology/operations, 5+ years with a B2B marketing automation platform (with certification), and hands-on experience with CRMs and integrations. Experience in tag management, web tracking, solution design, and program delivery is also necessary. Preferred qualifications include AI/ML experience, data quality management, privacy compliance, cloud data platforms, and SQL.
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 hiring a Marketing Technology Lead to own Lyft's B2B marketing technology stack, spanning marketing automation, content and web, lead routing, data enrichment, and attribution. As the senior technical owner of that stack, you will lead solution design, own the architecture and data model that carry a lead from first touch through to a qualified opportunity, and partner with Marketing Operations, Sales Operations, Sales Technology, Privacy, Legal, and Data to translate business needs into durable, scalable systems. This is a hands-on leadership role for someone who knows B2B marketing operations, can build the systems that run them, and is looking for ways to bring AI into how the stack works, not just what it produces.
Responsibilities:
Experience:
Benefits:
Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.
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 at least 3 days per week, including 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 Toronto area is $129,000-$161,250, 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.
Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.
This is a new position.
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