Senior Solutions Architect

• Build solutions on top of Gamma's API and integrations
• Use Gamma's API, MCP connectors, and automation platforms (Zapier, Make, N8N) to build custom workflows and reference implementations for B2B use cases — e.g., CRM-driven proposal generation, brand-compliant content automation
• Partner with engineering on the core infrastructure (MCP servers, API endpoints, marketplace connectors) and own the last-mile work: configuring, testing, documenting, and shipping integrations that deliver a complete experience
• Work directly with B2B customers
• Architect integration workflows with enterprise customers — understand their systems, map their use cases, and get them to production
• Translate customer workflow requirements into API product feedback: what endpoints are missing, what context needs to flow, what breaks at scale
• Own technical security and compliance conversations (SOC 2, SSO, data residency) with enterprise buyers and their procurement teams
• Enable partners building on Gamma
• Serve as the primary technical point of contact for strategic partners building on Gamma's API (e.g., Glean, Atlassian, HeyGen) — helping them scope integrations, unblocking technical issues, and driving to production
• Create developer resources — reference implementations, solution blueprints, and sample code — that make it easy for partners and developers to build production-quality integrations without consuming Gamma engineering time
• Support marketplace listing processes (security reviews, certification, co-marketing) for platforms like Salesforce AppExchange and Google Cloud Marketplace

• 5+ years building production API integrations, with strong command of RESTful APIs, OAuth 2.0, webhook systems, and error handling at scale
• Proficient in TypeScript and Python — you build working solutions yourself, not just spec them
• Experience working directly with enterprise customers on technical implementations — translating business workflows (e.g., "generate branded proposals from our CRM data") into working integrations, not just architecture diagrams
• Strong technical communication: you can debug a partner's code on a call, lead an architecture discussion with an enterprise IT team, and write documentation that developers actually use
• Proactive and self-directed — you see a gap (missing docs, broken integration, partner blocked on an issue) and fix it without waiting to be asked
• Comfort operating in ambiguity — pricing models are evolving, the partner program is new, and you'll help define the playbook as you run it

• Experience in the LLM/AI agent ecosystem — understanding of how tool-use, function calling, and MCP protocols work and why they matter
• Experience working with platform partner teams (e.g., navigating an AppExchange listing, a cloud marketplace certification, or an ISV partnership process)
• Developer advocacy experience: building reference implementations, recording walkthroughs, or running developer office hours
• Familiarity with enterprise buying motions in the AI/productivity space — you understand what an "SVP of AI Strategy" cares about and how procurement works at large companies

competitive equity