> Markdown version of [/jobs/ext/3004180-sr-product-solutions-architect-gracenote](https://www.wearedevelopers.com/jobs/ext/3004180-sr-product-solutions-architect-gracenote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Sr. Product Solutions Architect - Gracenote

- **Company:** NEW LOS ANGELES REPERTORY COMPANY
- **Location:** Arlington, VA, United States
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Extract Transform Load (ETL), Gracenote, Identity and Access Management, JSON, Rapid Prototyping Process, Software Deployment, SQL Databases, Systems Integration, Extensible Markup Language (XML), Prompt Engineering, Restful APIs, Network Server
- **Published:** September 19, 2026
- **Apply:** https://www.careerjet.com/jobad/us178cf28d43b4dc352efe552eaab82367

## About the Role

Experience: 3-5+ years in technical pre-sales, solutions architecture, or customer-facing engineering. Proven experience bridging the gap between business objectives and technical implementation, specifically in guiding customers through complex software integrations.
Technical Proficiency: 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 identity management (e.g., AWS Cognito).
Consultative Skills: 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.
Logistics: Ability to travel to customer sites, primarily in North America up to 30% of the time to conduct workshops and discovery sessions. Periodic International travel may be required.

## Description

We are seeking a technical, customer-focused Product Solutions Architect to lead customer technical pre-sales and implementation for our suite of metadata products and AI products, including the Gracenote Model Context Protocol (MCP) Servers. You will serve as the primary technical subject matter expert for the Gracenote suite of products, enabling B2B clients to successfully integrate our authoritative metadata into their discovery experience including AI-powered integrations. You will lead the end-to-end customer technical engagement lifecycle of technical solutions, from pre-sales consultation, requirements gathering, product solutioning and proof-of-concept development to post-implementation support and strategic product advocacy., Technical Pre-Sales & Strategy: Partner with Sales to lead technical discovery sessions, assessing client needs and demonstrating the value of Gracenote's solutions. Blending standard solution selling with AI/MCP value propositions, you will identify tangible ways Gracenote products can improve discovery experiences. Lead technical workshops, PoCs and own customer integration planning through adoption and production deployment..
Implementation & Delivery: Serve as the technical consultant during onboarding, guiding client engineering teams through integration best practices. Provide architectural oversight and technical strategy to ensure successful deployment of Gracenote metadata via standard APIs and Agentic frameworks.
Operational & Strategic Advocacy: Function as the "voice of the customer" to influence product roadmaps. Translate customer requirements into actionable requests to 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.
Technical Development: Lead the rapid prototyping of focused, single-purpose AI agents to validate technical capabilities for customers. Translate complex entertainment workflows into tangible, hands-on prototypes that serve as architectural blueprints for customer integration.


## Related Videos

- [Marketing x Product: How We Stopped Gaslighting Each Other and Built AI Products That Actually Work](https://www.wearedevelopers.com/videos/100244-marketing-x-product-how-we-stopped-gaslighting-each-other-and-built-ai-products-that-actually-work)
- [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns)
- [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json)
- [REST In Peace: Why LLMs Can't CRUD](https://www.wearedevelopers.com/videos/100272-rest-in-peace-why-llms-can-t-crud)
- [When Should You Use an Agent? Architectural Trade-offs in Agentic Systems](https://www.wearedevelopers.com/videos/100109-when-should-you-use-an-agent-architectural-trade-offs-in-agentic-systems)
- [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure)

## Related Articles

- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)
- [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)