Senior Marketing Operations Manager

Responsibilities

• Drive end-to-end execution of owned channel communications, creating dynamic and engaging experiences across email, SMS, push, and in-app using Lyft’s internal communications platform.
• Create and modify owned communications templates; set up, QA, and launch complex marketing campaigns with dynamic content.
• Apply AI tools and workflows to improve campaign execution, team efficiency, and personalization at scale, serving as a resource for the team in adopting and implementing AI-driven approaches.
• Influence platform expertise and tooling by bringing expertise from enterprise-grade ESPs such as Braze, Salesforce Marketing Cloud, or Iterable to help identify platform gaps and shape internal tooling capabilities.
• Partner with the communications platform engineering team to surface actionable feedback from day-to-day campaign execution, helping shape platform tooling and capabilities that serve the broader marketing organization.
• Work with marketing stakeholders to understand campaign requirements, leveraging your expert knowledge to provide input on channel strategy, audience segmentation, and experimentation best practices.
• Maintain working knowledge of global communication compliance regulations (including CAN-SPAM, GDPR, and CASL), understanding their implications across channels and regions as Lyft expands internationally.
• Serve as a technical resource and growth partner for junior team members — sharing expertise on campaign best practices, platform tooling, and implementation patterns.
• Drive cross-functional alignment by developing strong relationships with engineering, data science, and marketing partners, ensuring cohesive execution of key initiatives.
• Proactively identify and lead process improvement efforts, driving efficiency gains with clear stakeholder buy-in.

Requirements

• 5-7 years of digital marketing experience required, minimum 3 years in communications development and campaign formation; or equivalent demonstrated scope and impact.
• Familiarity with how email and communications are built at a systems level, with confidence navigating AI-generated code, dynamic templates, and automated pipelines.
• Strong working knowledge of AI tools and their application in marketing operations, with proven ability to implement AI-driven solutions and navigate complex internal systems and tooling environments.
• Proficiency in SQL required (e.g., WITH and JOIN functions).
• Demonstrated experience in prioritization, with a firm grasp of technical concepts to make trade-offs when making engineering requests.
• Knowledge of basic experimentation principles.
• Strong verbal and written communications, stakeholder management and project management skills.
• A blend of technical, creative and analytical skills with experience working with engineering, design, and data science.
• Demonstrated ability to lead cross-functional projects and drive alignment across multiple teams.
• Experience mentoring or coaching junior team members in a marketing or technical operations context.

Qualifications

• Experience with enterprise-grade ESPs such as Braze, Salesforce Marketing Cloud, or Iterable.
• Understanding of global communication compliance regulations (including CAN-SPAM, GDPR, and CASL).
• Ability to prioritize and make trade-offs when making engineering requests.
• Experience with basic experimentation principles.
• Strong verbal and written communications, stakeholder management, and project management skills.
• Experience working with engineering, design, and data science teams.
• Experience mentoring or coaching junior team members.

Skills

• Expertise in HTML/CSS for email, including the ability to architect dynamic templates and debug complex markup.
• Strong understanding of AI tools and their application in marketing operations.
• Proficiency in SQL (e.g., WITH and JOIN functions).
• Experience with experimentation principles.
• Strong verbal and written communications, stakeholder management, and project management skills.
• Experience working with engineering, design, and data science teams.
• Experience mentoring or coaching junior team members.

Benefits

• Great medical, dental, and vision insurance options with additional programs available when enrolled.
• Mental health benefits.
• Family building benefits.
• Child care and pet benefits.
• 401(k) plan with company match to help save for your future.
• 12 observed holidays, plus 15 days paid time off for hourly team members.
• 18 weeks of paid parental leave.
• Subsidized commuter benefits.
• Monthly Lyft credits and complimentary Lyft Pink membership.

Pay

• The expected base pay range for this position in the Seattle area is $117,760 - $147,200, not inclusive of potential equity offering, bonus or benefits.

Schedule

• 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.