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Lyft

Marketing Technology Lead

Lyft is hiring a Marketing Technology Lead in Toronto, Canada. It pays $129k-$161k a year and Level rates it ; you can apply on Lyft.

Level's read on this job

  • Uses AI ●●○○ is how Level rates this marketing role: an ordinary role that requires AI tools.
  • The posting mentions Databricks, HubSpot and marketing automation among its tools and skills.
  • Level classes it as a lead role.
  • Lyft has 177 other open roles on Level.

AI in this role

Lead B2B marketing technology stack and architecture while integrating AI capabilities into workflows, lead scoring, and campaigns.

DatabricksHubSpot
marketing-automationlead-routingcrmdata-modelingattribution

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:

  • Serve as the senior technical owner of the B2B marketing technology stack, from solution design through delivery, adoption, and ongoing support.
  • Lead requirements gathering with Marketing Operations, Sales Operations, Sales Technology, and Data partners, and translate them into functional and technical designs.
  • Remain hands-on, configuring and extending the marketing automation platform (HubSpot) across workflows, forms, lead scoring, and custom objects, and building the integrations that connect the stack.
  • Own the marketing technology roadmap and architecture, including the lead and account data model, enrichment and routing logic, and integrations with the CRM, data platform, web, and advertising systems.
  • Own the tracking and instrumentation layer, including tag management, site and campaign tracking, and the data capture behind attribution.
  • Own the lead lifecycle systems, partnering with Sales Operations and Sales Technology on lead identity, deduplication, scoring, routing, MQL and SQL definitions, and funnel stage integrity.
  • Identify where AI can improve the stack, from lead scoring and routing to content and campaign workflows, and lead the evaluation, adoption, and rollout of those capabilities.
  • Assess the stack against target state and introduce new tools as the marketing motion matures.
  • Set the technical standard through design review and documentation that accounts for failure states, scalability, and supportability.
  • Maintain platform reliability by monitoring performance and email deliverability, supporting incident resolution, leading postmortems, and driving automation.
  • Own governance and controls for marketing data, including consent and subscription management, email and privacy compliance, data quality, and change management.
  • Own the marketing tool portfolio and budget, from evaluation and selection through procurement, contracting, and renewals, partnering with Procurement, Legal, and Security.
  • Serve as the technical expert and escalation point, and deliver technical enablement to partner teams.
  • Partner with marketing leaders on prioritization, mentor the engineers and contractors supporting the stack, and support hiring.
  • Communicate marketing technology strategy, roadmap, and vision to partner teams, and give senior leadership decision-ready updates on progress, risks, and tradeoffs.

Experience:

  • Bachelor's degree in Business, Information Systems, Computer Science, or a related field, or equivalent practical experience.
  • 7+ years of experience in a marketing technology, marketing operations engineering, or business systems role, including 3+ years leading solution design and delivery.
  • 5+ years of hands-on administration and configuration of a B2B marketing automation platform (HubSpot, Marketo, Pardot, or Eloqua), with at least one active platform certification.
  • Hands-on depth in at least two platform categories beyond marketing automation, such as content management, lead routing, data enrichment, ABM, analytics, or attribution.
  • 3+ years hands-on in Salesforce or an equivalent CRM, and 3 or more delivered integrations to systems such as a data warehouse or CMS using REST APIs, webhooks, or middleware.
  • Hands-on experience with tag management and web or campaign tracking instrumentation.
  • Led end-to-end delivery of at least 2 large, cross-functional marketing technology programs, including one platform implementation or migration.
  • Experience providing technical direction to engineers, contractors, or implementation partners.
  • Strong understanding of B2B demand generation and lead-to-opportunity workflows, including lead scoring, routing, attribution, and funnel reporting.
  • Proven ability to communicate technical direction and tradeoffs to non-technical stakeholders, and present roadmap and status to senior leadership.
  • Experience with marketing data quality, consent and subscription management, and email and privacy compliance (CAN-SPAM, CASL, GDPR, or equivalent) is highly desirable.
  • Experience with a cloud data platform such as Databricks or Snowflake, and with SQL, is a plus.

Benefits:

  • Extended health and dental coverage options, along with life insurance and disability benefits
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • Access to a Lyft funded Health Care Savings Account
  • RRSP plan with company match to help save for your future
  • In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
  • Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
  • Subsidized commuter benefits and Lyft ride credits

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.

How we rate this

Marketing Technology Lead at Lyft rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Marketing AutomationLead RoutingCRMData ModelingAttributionDatabricksHubSpot

Also common in marketing jobs at this level

Pay

This job starts at
$129k
Typical marketing job
$148k

This posting starts 13% below the typical marketing job. See marketing jobs

Questions you could be asked

  1. Tell me about a project where marketing automation was part of your work. What did you do?
  2. Tell me about a project where lead routing was part of your work. What did you do?
  3. Tell me about a project where crm was part of your work. What did you do?
  4. Tell me about a project where data modeling was part of your work. What did you do?
  5. Tell me about a project where attribution was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Marketing Automation, Lead Routing, CRM, Data Modeling, and Attribution. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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