Sr. Product Solutions Architect - Gracenote
About The Position
Gracenote is a leading provider of entertainment data and technology, serving major music services, automakers, and consumer electronics companies. We process billions of rows of data daily and are a world leader in return path "big data." With over 2000 employees in 17 countries, including 600+ engineers, Gracenote is at the forefront of music, video, sports, and entertainment technology. We are seeking a technical, customer-focused Product Solutions Architect to lead technical pre-sales and implementation for our metadata and AI products, including Gracenote Model Context Protocol (MCP) Servers. You will be the primary technical subject matter expert, helping B2B clients integrate our metadata into their discovery experiences, including AI-powered integrations. This role involves managing the entire customer technical engagement lifecycle, from pre-sales consultation and requirements gathering to solution design, proof-of-concept development, post-implementation support, and strategic product advocacy.
Requirements
- 3-5+ years in pre-sales, customer-facing technical engineering, or solutions architecture roles.
- Specific experience designing, deploying, or observing AI agents, MCP architectures, and managing cloud framework deployments (AWS/Google/Azure) is highly preferred.
- Strong foundation in Restful APIs, SQL, ETL, and structured data formats (JSON/XML).
- Understanding of modern AI-based tech stacks, including tool chaining, prompt engineering, and authorization management (e.g., OAuth).
- Proven ability to bridge the gap between complex architectures and business objectives.
- Expert communication skills for diverse audiences, including C-level executives, business contacts, and engineering teams.
- Ability to travel to customer sites, primarily in North America up to 30% of the time.
- Periodic International travel may be required.
Nice To Haves
- Experience in the TV industry is a strong advantage, but not required.
Responsibilities
- Partner with Sales to lead technical discovery sessions, assessing client needs and demonstrating the value of Gracenote’s solutions.
- Blend standard solution selling with AI/MCP value propositions to identify tangible ways Gracenote products can improve discovery experiences.
- Lead technical workshops, Proofs of Concept (PoCs), and own customer integration planning through adoption and production deployment.
- Act as the technical anchor during onboarding, guiding developers through the integration of Gracenote metadata via standard APIs and Agentic frameworks.
- Provide code-level guidance, document integration use cases, and ensure best practices for deployment on frameworks like Google or AWS.
- Function as the "voice of the customer" to influence product roadmaps by translating customer requirements into actionable requests for the product team.
- Update or create technical documentation to drive customer self-sufficiency.
- Serve as "Customer Zero" to test and validate new products before rollout.
- Design, build, and maintain focused, single-purpose AI agents that demonstrate the technical capabilities of the Gracenote MCP Server.
- Support PoCs involving standard API/XML data integration alongside modern AI-genetic engineering (function calling, token optimization, and context management).
Benefits
- Comprehensive health and wellness plans
- 401(k) with a Nielsen company match
- Generous paid time off policy
- Company-provided vehicle (potential, depending on role)
- Discretionary incentive/bonus eligibility (potential, depending on role)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
