Note: The job is a remote job and is open to candidates in USA. Resonate provides AI-powered consumer data, intelligence, and technology through its SaaS and Data-as-a-Service offerings. The Product Manager, Data Products will own products within the Data-as-a-Service suite end to end, including vision, roadmap, pricing, packaging, distribution, and delivery. The role partners with engineering, data science, legal, marketing, sales, and customer success to develop, launch, and improve data products.
Responsibilities
- Owning a set of products within Resonate's Data-as-a-Service suite - the vision, the roadmap, and the case for where they go next - inside the direction set for the wider suite
- Turning that vision into business cases, success metrics, requirements, and user stories, then running the backlog, refinement sessions, and every sprint ceremony in Jira alongside your engineering team
- Working with data science and engineering to apply Resonate's AI and machine learning to the products you own, and weighing the tradeoffs each approach brings
- Owning pricing, packaging, and distribution - partnering with commercial teams on how your products are positioned and priced, and growing their reach through data marketplaces, self-service trials, and partner and MarTech integrations
- Partnering with Legal and Engineering to keep licensed data delivery inside Resonate's privacy obligations, including opt-out handling and the constraints that apply to regulated categories like financial services
- Bringing products to market with Marketing, Sales, and Customer Success - shaping positioning and messaging, getting the commercial teams ready to sell, and backing them up with feasibility reviews and real analysis when customers ask hard questions
- Putting the tracking and reporting in place to see how a launch actually performed, then turning that into the next investment decision
Skills
- 5+ years as a product manager or product owner in data products, martech, or adtech, including products you carried all the way from requirements through launch and adoption
- Experience with data enrichment or appends against a customer's first-party records, and with large-scale data delivery through file transfer, data sharing, clean rooms, or APIs
- Working knowledge of AI and ML workflows, technologies, and architectures - enough to hold the conversation with data science directly and weigh the tradeoffs yourself
- Working knowledge of identity resolution and consumer data ecosystems and architectures
- Familiarity with consumer data privacy as it applies to licensed data: state privacy law, opt-out handling, and the constraints that come with regulated categories
- Fluency in agile product delivery - backlog management, refinement, sprint ceremonies, and Jira
- The ability to write specs and vision documents that make the reasoning behind a problem clear, not just the requirements that follow from it
- A record of building effective working relationships at every level, inside the company and outside it
- Experience building or deploying products distributed through a data marketplace, or offered as a self-service trial
- Experience owning pricing and packaging for data products
- Audience building and activation into paid channels like programmatic, social, and connected TV, and the identifier ecosystems those channels run on
- Hands-on work in AWS, Snowflake, Databricks, or clean room environments
- Experience in a regulated vertical, financial services especially
- Familiarity with agentic frameworks and MCP server-based data access
Benefits
- Uncapped growth potential
- The opportunity to have a meaningful impact on the company
- The opportunity to work on cutting-edge, AI-powered marketing data and identity solutions
- A competitive 401(k) match
- An Open PTO policy that encourages real time off
- Remote-first approach to work
- A flexible environment that empowers team members to collaborate seamlessly across different locations
- Tools and resources needed to succeed, whether working from home or in the company's offices
Company Overview
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