StackAdapt Logo

StackAdapt

Staff Product Manager (Attribution)

Posted 3 Days Ago
Remote
Hiring Remotely in Canada
Entry level
Remote
Hiring Remotely in Canada
Entry level
Own the vision and roadmap for StackAdapt’s Attribution stack, including click-through, view-through, CTV, ABM, and other attribution models. Partner with major clients and cross-functional teams to define needs, align stakeholders, create product specifications, and guide engineering, design, and QA delivery. Translate complex data and identity-resolution constraints into product decisions, use experiments and analytics to drive iteration, and develop measurement products that increase customer engagement.
The summary above was generated by AI

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.

We believe that providing objective data on the performance of media dollars creates more committed customers and a stronger concentration of media dollars on our platform. The ability to accurately attribute business outcomes to marketing efforts is the foundation for building that trust. 

We are looking for a Staff Product Manager to focus on our Attribution stack, determining which ad exposures get credit for customer conversions. This is a foundational role and will deliver the building blocks upon which our reporting and measurement feature stacks are built. 

This role will report to a Director of Product who also oversees the Reporting, Measurement, and Planning teams. They will work day-to-day with a dedicated team of engineers, designers, and QA.  

StackAdapt is a Remote First company, we are open to candidates located anywhere in the US and Canada for this position. 

What you'll be doing:

  • Drive the vision and own the roadmap for our Attribution stack, covering click and view-through attribution, vertical and channel specific attribution models such as CTV and ABM, and several customer-facing reporting and measurement features. 
  • Work with our largest and most complex clients to understand their attribution needs and how they think about assigning marketing credit. 
  • Drive alignment across the teams that contribute to StackAdapt's attribution story (Data & Analytics, Data Science, Revenue, Product Marketing, etc.) and contribute to internal/external enablement on existing and new attribution methodologies. 
  • Responsible for delivery of product specs that capture user needs along with clear direction for the engineer, design, and QA team on how the feature should behave and what success looks like. 
  • Success for this role is someone who can drive features through to completion, delivering high-quality results while dealing with ambiguity, and creating products that drive more customer engagement with the StackAdapt platform. 

What you’ll bring to the table:

  • Strong understanding of attribution methodologies across the broader advertising and measurement industry, beyond individual ad platform reporting, including but not limited to MTA, MMM, incrementally lift studies, geo experiments, CTV attribution, ABM attribution, retail media measurement, and web analytics attribution.
  • Demonstrated ownership of vision and roadmap end to end: shaping direction from ambiguous problems, aligning teams, and delivering measurable outcomes.
  • High technical fluency: able to translate complex constraints (data pipelines, identity resolution, event-level attribution at scale) into clear product decisions, and explain attribution and measurement concepts to non-technical audiences.
  • Bias for action grounded in data: you form hypotheses, ship experiments to test them, and iterate based on what the data says.
  • Keen design sense; you’re able to look at a feature and understand it through a user’s eyes. 
  • You’ve successfully incorporated LLM usage into your day-to-day to accelerate your work, and understand where these tools can help customers versus where more deterministic methods are appropriate.

The compensation range listed for this role reflects the expected base salary for candidates located in the posting country based on a global rate. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location. We do not ask candidates about current or prior salary history, and we will not use such information, if volunteered, in setting an offer.

This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package.

Factors Influencing Final Compensation:

  • The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications.
  • Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer.
Canada Base Salary Band
$168,000$231,000 USD
USA Base Salary Band
$188,000$258,500 CAD
StackAdapter's Enjoy:
  • Highly competitive salary
  • Retirement/ 401K/ Pension Savings globally
  • Competitive Paid time off packages including birthday's off!
  • Access to a comprehensive mental health care program
  • Health benefits from day one of employment
  • Work from home reimbursements
  • Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
  • Robust training and onboarding program
  • Coverage and support of personal development initiatives (conferences, courses, books etc)
  • Access to StackAdapt programmatic courses and certifications to support continuous learning
  • An awesome parental leave program
  • A friendly, welcoming, and supportive culture
  • Our social and team events!

Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.

StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability, superpower status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt.
 
StackAdapt is committed to providing an inclusive and accessible recruitment process. Accommodations are available upon request for candidates taking part in all aspects of the selection process. If you require an accommodation, please let us know.
 
We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.
 
About StackAdapt
 
We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:
 
G2 Top Software for 2026
2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
2026 Winner in the (CTV/OTT) Product/Platform category for the 2026 ADWEEK Tech Stack Awards
 
To learn more about our privacy practices, please see our Privacy Policy.
 
#LI-REMOTE
HQ

StackAdapt Toronto, Ontario, CAN Office

100 University Avenue, Floor 5, Toronto, Ontario, Canada, ON M5J 1V6

Similar Jobs

6 Hours Ago
Remote or Hybrid
Senior level
Senior level
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Build and scale MLOps infrastructure for large 2D and 3D media datasets and machine learning training. Responsibilities include automating CI/CD and continuous-training pipelines, managing dataset versioning and storage, enabling reproducible high-throughput workflows, and monitoring model performance and data drift. The role coordinates with ML, annotation, and technical program teams and translates ML requirements into scalable cloud or on-premises infrastructure.
Top Skills: 2D/3D DatasetsAirflowCi/CdCloud InfrastructureConfluenceContinuous TrainingDockerGitJIRAKubeflowKubernetesMachine LearningOn-Premises InfrastructurePrefectPythonSlackUnix Shell
6 Hours Ago
Remote or Hybrid
Senior level
Senior level
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Senior Data Scientist responsible for transforming large tabular and user-behavior datasets into reliable machine learning inputs. Coordinates with ML, Product, engineering, TPM, and annotation teams; defines data and training requirements; oversees dataset curation and processing; translates project goals into actionable specifications; and ensures data integrity, accuracy, representativeness, and production readiness.
Top Skills: ConfluenceGitJIRAMachine LearningPythonSlackUnix Shell
8 Hours Ago
In-Office or Remote
CA
Senior level
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Coordinates cross-functional product go-to-market programs from planning through launch, adoption, and optimization. Builds project plans, operating mechanisms, documentation, feedback loops, status reporting, and decision processes. Partners with Product, Sales, Marketing, Enablement, Analytics, Finance, and leadership to align stakeholders, track dependencies, surface insights, improve workflows, and support product readiness and commercial execution.

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account