Product Manager, Data Platform (Signals & Integrations)
Join Revive Media to help advertisers across the country scale their localized Connected TV advertising. Our business is growing rapidly and we're in the midst of transforming from a services agency to a product-led business with our new native platform. This platform is already live with customers and we're looking for someone to drive deeper adoption across the organization as we scale it more broadly.
We are a small, remote-first team of high-performing professionals with diverse backgrounds located across many time zones, including North America, Europe, and Asia. We prioritize asynchronous communication and documentation but come together as a team to solve hard problems.
Position Overview
This role expands the signals that power smarter campaign decisions - so our teams can run more effective campaigns, build better proposals, and deliver more customer value.
As the Product Manager for our data platform, you will own the roadmap for bringing customer and third-party data into Revive (and sharing data back out via customer-facing APIs), with an emphasis on scalable ingestion patterns, data contracts, quality standards, and operational tooling. Your primary focus is customer and third-party data ingestion and external data exchange; you'll also own some transformation where required to make data usable downstream.
Responsibilities
- Signal expansion roadmap: Prioritize the highest-impact data sources and signals for campaigns and proposals (impact vs effort vs operational cost), including customer first-party data and third-party data providers for audience targeting and attribution
- Vendor management: Own selection, implementation, and ongoing performance of our ingestion/integration provider (SLAs, security/privacy requirements, roadmap alignment, escalation) - familiarity with tools like Fivetran or similar integration platforms a strong plus
- Integration patterns: Standardize repeatable ingestion/onboarding patterns to reduce bespoke integrations
- Data requirements & quality: Define and enforce schemas/metadata expectations and validation rules (often via our vendor tooling), with clear ownership to keep data trustworthy and usable
- Observability & self-serve diagnostics: Improve visibility into freshness, failures, and onboarding status to reduce dependency on Engineering for routine troubleshooting
- Product execution: Partner with engineering and analytics to ship platform capabilities with clear requirements, milestones, and adoption plans
- Collaboration: Engage in healthy debate, align stakeholders, and communicate decisions broadly
- System knowledge: Build a deep understanding of upstream and downstream systems - including CDP (customer data platform) integrations - and how they shape data requirements
Success metrics
- Increased percentage of campaigns and proposals utilizing approved data signals
- Improved business outcomes driven by better optimization decisions (e.g., attribution accuracy, audience match rates)
What to expect in your first 90 days
Month 1 — Get your bearings
- Learn the campaign workflow and where optimization decisions get made
- Map current ingestion methods and top pain points; set baseline metrics
- Build relationships across Product, Data/Engineering, Analytics, and campaign-facing teams
Month 2 — Dive into the backlog
- Prioritize the Signal Expansion backlog (impact vs effort vs operational cost)
- Define v1 data contracts + validation standards
- Ship one tangible platform win (template/validation/monitoring) that reduces inefficiency or improves trust
Month 3 — Product roadmap ownership
- Align on a 6-month roadmap (platform foundations + signal expansion)
- Kick off one high-value integration or platform capability with clear requirements + milestones
- Put an operating model in place (intake/prioritization, triage, dashboards/runbooks)