Head of Ads Data Partners
DiscordSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AdTech, Retail MediaIndustries
Requirements
- 3–6 years of product management experience, ideally in ad tech, martech, or data platforms
- Experience with DSPs, SSPs, CDPs, DMPs, or similar ecosystems is a huge plus
- Strong understanding of how data pipelines, ML models, and APIs work, not just what they do, but how they do it
- Excellent communicator who can drive alignment between technical and non-technical stakeholders
- Passionate about solving real user problems with data, not just building dashboards
- Familiar with tools like Looker, Snowflake, dbt, Python, Postgres, or similar (you don't have to code, but you get it)
- Previous experience working in a startup or fast-paced agile environment
Responsibilities
- Own and evolve the product roadmap for data and measurement features (e.g., performance models, audience tools, reporting layers, campaign optimization)
- Work closely with data engineering and ML teams to define product requirements, success metrics, and delivery timelines
- Translate advertiser use cases into data product specs and interfaces
- Partner with account and strategy teams to gather feedback and define high-impact use cases
- Understand how models work (propensity, LTV, lookalike, pacing, bidding, etc.) and ensure they are integrated in ways that users trust and value
- Ensure data flows are robust, privacy-safe, and usable across the ad stack (DSPs, SSPs, CDPs, retail platforms)
- Define product metrics and validate outcomes through experimentation and feedback loops
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary for this Data Product Manager role?
The job offers a competitive salary alongside a strong insurance package.
Is this position remote or does it require office work?
This information is not specified in the job description.
What skills and experience are required for this role?
Candidates need 3–6 years of product management experience ideally in ad tech, martech, or data platforms, strong understanding of data pipelines, ML models, and APIs, experience with DSPs, SSPs, CDPs, DMPs or similar, and familiarity with tools like Looker, Snowflake, dbt, Python, or Postgres.
What is the company culture like at Carter?
The company emphasizes employee growth with extensive learning and development resources and operates in a fast-paced agile environment, likely startup-like.
What makes a strong candidate for this Data Product Manager position?
Strong candidates have experience in high-frequency, high-volume adtech environments, understand the intersection of ad tech, data, and AI/ML models, and can fluently engage in both business and technical conversations.
ShyftLabs
Data-driven decision-making solutions for organizations
About ShyftLabs
ShyftLabs helps organizations adopt a data-first approach to their decision-making processes. Their services focus on establishing systems that enable companies to make quicker and more informed decisions based on data analysis. This approach allows businesses to gain insights that can keep them ahead of their competitors. Unlike other companies that may offer generic consulting services, ShyftLabs emphasizes the importance of data in driving decisions, ensuring that organizations can leverage their data effectively to enhance their strategic planning and operational efficiency.
None, CanadaHeadquarters
2018Year Founded
VENTURE_UNKNOWNCompany Stage
Data & Analytics, ConsultingIndustries
11-50Employees
Benefits
Health Insurance
Hybrid Work Options
Professional Development Budget
Risks
Increased competition from startups offering innovative, cost-effective solutions.
Growing demand for in-house analytics teams reducing reliance on consultants.
Rapid AI advancements may outpace ShyftLabs' current technology offerings.
Differentiation
ShyftLabs specializes in data governance, warehousing, and predictive analysis services.
The firm empowers organizations with a data-first approach for decision-making.
ShyftLabs establishes processes for faster, insightful decisions to outpace competition.
Upsides
Increased demand for data governance due to stricter privacy regulations.
Growing interest in predictive analytics in retail for inventory optimization.
Rising adoption of cloud-based BI tools among SMEs for cost-effectiveness.
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