iSpot.tvIS

Technical Product Manager

iSpot.tv is a real-time TV ad measurement company that provides a platform for brands, agencies, and networks to measure the brand and business impact of TV and streaming advertising. [3, 16, 23]

iSpot.tv

Employee count: 201-500

Salary: 105k-131k USD

United States only

iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle’s hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.

What You’ll Be Part Of:

At iSpot.tv, you’ll join a dynamic and innovative team committed to revolutionizing the television and video advertising landscape. Our cutting-edge technology and data analytics powers decision-making across the advertising and media ecosystem.

As a Technical Product Manager, Integrations and Identity, you’ll drive the evolution of our data integrations and identity infrastructure. This role sits at the intersection of product, engineering, and data science—responsible for defining the pipelines and APIs that ingest, map, and unify vast datasets for our clients and partners. You'll play a critical role in defining and delivering data products that power our core features across our measurement and attribution platforms.

If you’re passionate about building scalable data products, live for creating elegant design from messy datasets, and get excited about technical problem solving, you’ll thrive here.

Responsibilities:

  • Drive the roadmap for our data onboarding and identity resolution capabilities. Define and prioritize how external datasets are ingested, matched, and unified across platforms. Balance infrastructure scalability, partner needs, and long-term identity resolution goals. Collaborate cross-functionally to align roadmap milestones with company OKRs and data strategy.
  • Own API and data integration workflows. Manage the design and implementation of APIs and ETL workflows that ingest and normalize data from partners, publishers, and clients. Work hands-on with engineering to ensure technical feasibility and scalability, and partner with data science to align on requirements to support matching logic, data enrichment, and modelling strategies.
  • Collaborate with data partners and clients. Act as a technical liaison during integrations—working directly with partners to map their data fields, understand row level nuances, resolve schema mismatches, and navigate privacy or contractual limitations. Document and standardize onboarding playbooks to streamline future integrations.
  • Drive development of privacy-safe identify matching, inclubing both deterministic and probabilistic methodologies. Partner with data science to evaluate and iterate on deterministic keys (e.g., hashed emails, device IDs) and probabilistic techniques, ensuring explainability and measurement integrity.
  • Ensure alignment with privacy, compliance, and data governance best practices. Work closely with legal, compliance, and security teams to ensure all identity-related data flows are compliant with regional and global privacy frameworks (e.g., CCPA, GDPR).
  • Translate complex technical requirements into clear product specs and user stories. Break down technical concepts like match confidence thresholds, schema evolution, or differential privacy techniques into actionable requirements for engineering. Write user stories and acceptance criteria that are traceable to broader business outcomes and easy for non-technical stakeholders to understand.
  • Establish and track KPIs for data integration health, coverage, and performance. Define operational metrics to monitor the reliability, completeness, and freshness of ingested datasets (e.g., match rates, latency, ID coverage, null field %). Build dashboards and partner with analytics to ensure visibility into data pipeline quality and partner SLA adherence.

Qualifications and Education Requirements:

  • 4+ years of product management experience, ideally in data infrastructure, ad-tech, or mar-tech
  • Bachelor’s degree in related field.

Preferred Skills:

  • Deep familiarity with identity resolution, hashed identifiers (e.g., HEMs, MAIDs, CTV IDs, IPs), and cross-device linkage
  • Experience working with large-scale data integrations, APIs, and ETL pipelines
  • Experience with clean room technologies (e.g., Snowflake, AWS Clean Rooms, Habu, BigQuery)
  • Strong technical literacy—you can talk shop with engineers and ask the right questions
  • Working knowledge of privacy frameworks like CCPA, GDPR, and HIPAA is a plus
  • Clear, structured communicator with a knack for translating between technical and non-technical stakeholders
  • Passion for data quality, systems thinking, and building durable platform infrastructure

Target cash compensation range: $104,700 - 130,880 USD Annually

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

For more information on total rewards package, goHERE

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency.

Those local or living in surrounding areas to one of our offices (Bellevue, WA; El Segundo, CA; New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway!

iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team.

California Residents applying for positions at iSpot can access our California Consumer Privacy Act here.

About the job

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Job type

Full Time

Experience level

Mid-level
Senior

Salary

Salary: 105k-131k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About iSpot.tv

Learn more about iSpot.tv and their company culture.

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At iSpot.tv, innovation is at the core of our mission to revolutionize TV advertising measurement. Founded in 2012 by Sean Muller, who identified a critical gap in the availability of real-time data and analytics for television commercials, iSpot.tv has pioneered the development of a comprehensive platform for tracking and analyzing TV ad performance with digital-like precision. [3, 16] We are dedicated to unifying ad measurement across creative, audience, and outcomes to empower our customers to optimize their video advertising performance. Through groundbreaking technology, we are transforming how brands, agencies, and networks measure the brand and business impact of TV and streaming advertising, from the initial concept and airing to ultimate conversion. [3, 16]

Our platform leverages a massive, proprietary ad catalog and exclusive access to data from 83 million smart TVs and set-top boxes, combined with direct integrations with over 400 streaming platforms and DSPs. This extensive data footprint allows us to measure creative effectiveness, impressions, performance, and second-by-second attention for every ad. iSpot.tv provides fast, accurate, and actionable measurement and attribution solutions, enabling advertisers to assess creative effectiveness, enhance media plans, and attribute advertising results for cross-platform campaigns. [3, 16] We offer real-time insights and competitive benchmarking, allowing advertisers to make informed decisions and stay ahead in a rapidly evolving media landscape. [3, 11] Our commitment to innovation is further demonstrated by our continuous development of new solutions, such as Outcomes at Scale, which provides advanced outcomes-based attribution for video advertising. We utilize big data and AI to deliver the industry's only end-to-end measurement solution, helping our clients drive significant value and achieve superior return on ad spend (ROAS). [4, 11, 27]

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