Measurement Operations Manager

Posted 4 Days Ago
Be an Early Applicant
3 Locations
In-Office
120K-140K Annually
Senior level
AdTech • Machine Learning
The Role
The Measurement Operations Manager will oversee two teams focusing on data analysis and operational workflows, ensuring quality control and efficient delivery across various projects.
Summary Generated by Built In
Samba TV tracks streaming and broadcast video across the world with our proprietary data and technology. We are on a mission to fundamentally transform the viewing experience for everyone. Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to engage viewers and measure reach across all their devices. We have an amazing story with a unique perspective on culture formed by a global footprint of data and AI-driven insights.

We're looking for a Measurement Operations Manager to lead the back-end operations engine of our Measurement Science organization. You will own two high-performing vertical teams: Measurement Analysts — a squad of data analysts executing custom queries to answer measurement, insights, and marketing questions — and Measurement Operations, responsible for pixel tagging, QC, implementation, and study tracking. This is a role for someone who geeks out on operational excellence. You bring structure to ambiguity, velocity to delivery, and rigor to quality — all while building a team culture where high performers thrive and accountability is embedded in the DNA.

WHAT YOU'LL DO

  • Lead and manage two sub-teams: Measurement Analysts and Measurement Operations, spanning offshore and contract resources across time zones.
  • Design and optimize end-to-end operational workflows for data query execution, pixel implementation, and study delivery using frameworks like Six Sigma, Agile, and Scrum — applying the right methodology for each challenge.
  • Own quality control standards across all measurement deliverables, including discrepancy reporting, pixel tagging best practices, and troubleshooting.
  • Drive capacity planning, sprint prioritization, and workload distribution across both teams using JIRA.
  • Partner with Measurement Science leadership to reduce study delivery timelines and scale operational throughput in support of global expansion.
  • Develop and maintain SQL/Python/Databricks-based operational workflows and data pipelines to support scalable, repeatable measurement execution.
  • Build a meritocratic team culture: mentor high potentials, recognize top performers, and coach opportunity areas with speed and candor.
  • Report on team utilization, delivery velocity, and quality metrics to senior leadership.

WHO YOU ARE

  • 5+ years of experience in data or measurement operations, with deep fluency in operational frameworks (Six Sigma, Agile, Scrum). You know which tool to pull out and when.
  • Proven experience managing offshore and/or contract teams — you understand how to build accountability and culture without geographic proximity.
  • Hands-on experience with SQL, Python, Databricks, BigQuery, and AWS. You can get into the data layer yourself when needed and set the bar for your team. 
  • Working knowledge of ad measurement pixels, discrepancy root-cause analysis, and tagging best practices across DSPs and measurement platforms.
  • Comfortable running sprints, managing backlogs, and reporting on team throughput at scale.JIRA power user: 
  • You build teams that want to perform. You give feedback early and often, celebrate wins loudly, and course-correct quickly and constructively.

Systems and Technical Environment

  • Project & Workflow Management: JIRA
  • Data Infrastructure: BigQuery, AWS, Databricks
  • Languages: SQL, Python
  • Measurement Ops: Pixel implementation, discrepancy reporting, tagging QA and troubleshooting

Preferred Qualifications

  • Experience in advertising measurement, media analytics, or marketing data operations.
  • Background working within or alongside a global, distributed team structure.
  • Familiarity with cross-platform measurement concepts (TV, digital, audio, CTV).
  • Six Sigma certification or equivalent operational training.

Samba TV is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.  We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.

Samba TV may collect personal information directly from you, as a job applicant, Samba TV may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.

Top Skills

AWS
BigQuery
Databricks
JIRA
Python
SQL
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The Company
HQ: San Francisco, CA
318 Employees
Year Founded: 2008

What We Do

Television remains a vibrant cultural influence and an essential source of entertainment and information worldwide. Tremendous growth in content choices, and viewing platforms that allow us to watch anything, anytime, on any screen, has actually made it harder for viewers to discover and keep up with all the great programming available. It’s also more competitive for content providers to keep your attention, and for marketers to make strong, measurable connections with their target consumers. Technology that improves the viewing experience, enables content discovery, and addresses audience fragmentation across screens will strengthen television’s business model and relevance to consumers. Data is at the center of any solution to make TV better. Samba TV's technology is built into Smart TVs and easily maps to smart phones and tablets. By recognizing what's on screen, Samba TV learns what viewers like and using machine learning algorithms, enables discovery of shows and actors in a whole new way. Likewise, our data and measurement products are transforming the way stakeholders across the media landscape are thinking about their business. Given the dramatic growth in streaming services, connected devices, time-shifting, and multi-screen viewership, our data products solve real problems and create a meaningful competitive advantage for our clients.

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