Technical Product Manager

Summary

Join iSpot.tv, a dynamic team revolutionizing television and video advertising, as a Technical Product Manager, Integrations and Identity. You will drive the evolution of data integrations and identity infrastructure, defining pipelines and APIs that ingest, map, and unify vast datasets. This role requires collaboration with product, engineering, and data science teams. You will define and deliver data products powering core features across measurement and attribution platforms. iSpot offers competitive compensation, including salary, equity, and standard benefits, plus a chance to contribute to a growing company. The role involves a hybrid or fully remote work schedule depending on location.

Requirements

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

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

Preferred Qualifications

• 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

Benefits

• Salary and equity in one of Seattle’s hottest start-ups
• Other standard benefits
• Hybrid & Flexible Workplace Policy
• Stock options
• Overtime pay (Non-exempt roles)