Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.
We create technology to help businesses grow and succeed. Our Marketing Operations team is looking for a technically sharp, operationally minded Manager to own the infrastructure behind our paid media program — from pixel to pipeline, feed to finance. This role is the engine behind our buying team, ensuring every campaign we run is accurately tracked and our media buyers can focus on performance rather than data.
A day in the life (Responsibilities)
- Own the full signal path for Paid: serve as the single technical owner across Tracking/Pixels, Program/Campaign, Audience/Conversions API, and Control Tower - partnering with Paid on requirements once and carrying them across every team, rather than Paid routing to individuals separately
- Tag & pixel infrastructure: own event tracking, conversion signals, and audience data flows across ad platforms (Meta, Google, TikTok, Bing, ChatGPT, etc.) via offline conversion tracking and server-side tagging
- Marketing automation: manage and optimize Marketo paid program setup, scoring, audience segmentation, and integration with ad platforms
- Data operations: manage CRM audience syncs and data pipelines between source systems and ad platforms using ETL systems
- UTM & tracking governance: define and enforce naming conventions, UTM taxonomy, QA checklists, and bulk build processes to ensure every campaign launched is trackable and consistent
- Platform integrations & API management: manage connections between marketing tech systems (Marketo, Salesforce, ad platforms) and troubleshoot data discrepancies across the stack
- Launch playbooks & QA framework: build and maintain the launch playbook for new vendors, channels, and tests; own time-to-launch as a core metric and continuously shrink it
- Control Tower & monitoring: own Paid's coverage within our Control Tower alerting suite, publish and follow a QA cadence (daily monitors, monthly tests, quarterly audits), and drive down time-to-detect on data issues
- Reporting & analytics infrastructure: maintain and QA the data pipelines that feed performance dashboards, ensuring campaign, lead, and conversion data is accurate and available for stakeholder reporting
- Audience operations: build, maintain, and refresh CRM-based audience lists for suppression, retargeting, and lookalike seeding across ad platforms
What you'll need to thrive (Requirements)
- 5+ years in marketing operations, ad tech, or marketing analytics
- Experience managing infrastructure for paid spend at $10M+ a year across 3+ ad platforms
- Hands-on experience with offline conversion tracking (Meta CAPI, Google Enhanced Conversions, or equivalent), including sending CRM-stage conversions back to platforms
- Experience with a marketing automation platform (Marketo, HubSpot, or similar)
- Experience with CRM systems and lead routing logic (Salesforce or equivalent)
- Experience managing data pipelines and integrations via Hightouch or similar ETL tools
- Strong UTM governance and tracking QA across multi-channel paid campaigns
- Track record operating as an embedded technical partner to a Paid/growth team — driving requirements proactively rather than waiting on tickets
- Ability to troubleshoot data discrepancies and communicate findings to cross-functional stakeholders
- Strong attention to detail and a bias toward process and documentation
- A sense of humor
Special Sauce* (nice to haves)
- Owned a cost efficiency metric as part of your function
- Part of the team or led the move to value-based bidding with measurable CAC or pipeline impact
- Experience working within a B2B SaaS environment
- Proficiency with Marketo, including program setup, lead scoring, and ad platform integrations
- Working knowledge of Salesforce CRM, including lead routing, campaign attribution, and data hygiene
- Experience with a CDP or data warehouse tool (Segment, Snowflake, BigQuery)
- Familiarity with SQL for data QA and ad-hoc reporting
- Experience with TikTok or other emerging ad platform integrations beyond Meta and Google
- Prior experience in an embedded ops role supporting a paid media team
AI at Toast
At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.
Our Total Rewards Philosophy
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.
The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy.
How Toast Uses AI in its Hiring Process
Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. We ask that you complete interviews and assessments on your own, without real-time AI tools, recording, or transcription bots, unless we tell you otherwise in advance. To learn more: https://careers.toasttab.com/ai-in-hiring
Our Approach to Hybrid Working
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast
People Are the Secret Ingredient in Our Recipe for Success
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry brings together people with a wide range of backgrounds, experiences, and perspectives, and we value that same breadth at Toast. We strive to build a culture grounded in authenticity, respect, and humility, where every Toaster has a real opportunity to grow, contribute, and do their best work—raising the bar in delivering exceptional experiences for our customers and each other.
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact [email protected].
------
For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Similar Jobs at Toast
What you need to know about the Austin Tech Scene
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
