OpenRouter Logo

OpenRouter

Solutions Architect

Posted One Month Ago
Remote
Hiring Remotely in US
Senior level
Remote
Hiring Remotely in US
Senior level
Own the technical side of enterprise sales by leading discovery, solution design, architecture discussions, proofs of concept, integrations, security reviews, and technical enablement. Translate customer infrastructure and LLM requirements into OpenRouter solutions, support deal strategy, troubleshoot implementations, and provide customer feedback to Product and Engineering.
The summary above was generated by AI
About OpenRouter

OpenRouter is the open AI routing and infrastructure layer that enterprises use to access, manage, and optimize the best large language models across providers—without lock-in, capacity constraints, or unnecessary cost. We power some of the most advanced AI teams in the world by giving them the flexibility to move fast, scale confidently, and stay future-proof as models evolve.

As enterprise adoption of AI accelerates, OpenRouter sits at the center of how organizations operationalize LLMs across research, product, and production workloads.


About the Role

As a Solutions Architect, you'll be the technical backbone of our sales organization — partnering with Business Development Managers and Product Managers to translate complex customer requirements into winning technical strategy. You'll work directly with engineering, infrastructure, and platform teams at our largest prospects and customers, helping them understand how to architect, integrate, and scale their LLM usage on OpenRouter.

This is a hands-on, customer-facing technical role. You'll run technical discovery, lead architecture conversations, build and support proofs of concept, and be the trusted technical voice in complex, multi-stakeholder deals — while also feeding what you learn back into Product and Engineering to make OpenRouter better.


What You'll Do
  • Partner with Business Development Managers and Product Managers on strategic partnership opportunities, leading technical discovery, solution design, and architecture discussions with customer engineering and infrastructure teams.

  • Run technical discovery with partner product and engineering teams, map their product to our integration patterns, and present the options with honest tradeoffs.

  • Capture partner requirements and get launch-blocking needs, scale needs, and compliance needs on paper before commercial terms are agreed

  • Turn partner requirements into integration specs our engineering team builds from

  • Keep a single current list of open technical questions and decisions for every active partner deal, and chase them to resolution.

  • Stand up working integrations with design partners, debug in real time, and drive to a clear technical yes.

  • Build reference architectures, integration guides, and demo environments so future partner integrations take a fraction of the effort of the first.

  • Work closely with Product, Engineering, and Customer Engineering to bring customer and market signal back into the roadmap, and to make sure partner feedback shapes what we build next.

  • Stay technically sharp. Keep pace with the fast-evolving LLM landscape — new models, providers, infrastructure patterns, and the tools your customers are already using.


What We're Looking For
  • 7+ years in a technical, partner- or customer-facing role (solutions architect, partner engineer, sales engineer, forward-deployed engineer) at an API-first or developer infrastructure company.

  • Hands-on depth in API platform design: authentication and authorization (OAuth 2.0, PKCE, token exchange, API key management), multi-tenancy, rate limiting, webhooks, and usage metering.

  • Experience designing embedded or platform integrations where account ownership, billing, and data flows were part of the design.

  • A track record of writing technical specs that engineers actually built from.

  • Comfortable leading a call with a senior technical leaders internally and externally

  • Strong written communication. A large part of this job is clear documents.

  • Genuine technical curiosity about OpenRouter and our partner’s products and the AI tools and infrastructure ecosystem more broadly.


Nice to Haves
  • Experience at an API or platform company with a partner or embed program

  • Familiarity with gateways and proxies, trust and safety or abuse systems, or billing and metering infrastructure.

  • Hands-on time with LLM APIs, agents, MCP, or multi-provider routing.

  • Personal projects involving AI agents, self-hosted models, or infrastructure tinkering.

If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone who is excited to join the team.

Similar Jobs

6 Days Ago
In-Office or Remote
Senior level
Senior level
Information Technology • Consulting
Lead customer discovery, workshops, and solution design for secure hybrid and multi-cloud architectures. Serve as the technical lead throughout sales cycles, translating business needs into hosted, public cloud, networking, security, compliance, backup, and disaster recovery solutions. Collaborate with sales, product, and cloud specialists on RFPs, scoping, presentations, and handoffs. Educate customers on current and emerging cloud, AI, automation, and cybersecurity capabilities.
Top Skills: AWSBackupCi/CdCitrixDisaster RecoveryDnsFirewallsGdprGoogle Cloud PlatformHipaaHybrid CloudIamInfrastructure As CodeIsoMdrAzureMulti-CloudNasNistPciPrivate CloudPublic CloudSanSd-WanSIEMSoarSocaasTcp/IpVMwareVpnVulnerability Management
13 Days Ago
Easy Apply
Remote
United States
Easy Apply
Entry level
Entry level
Cloud • Security • Software • Cybersecurity • Automation
Advise prospects and customers on adopting GitLab’s AI-powered DevSecOps platform. Lead technical discovery, demonstrations, proofs of concept, workshops, solution architecture, and technical evaluations. Partner with sales teams to support pipeline and expansion, guide customers through software delivery, security, and cloud adoption, and communicate field feedback to product and engineering teams.
Top Skills: Agentic AiArtificial IntelligenceCloud PlatformsContinuous DeploymentContinuous IntegrationDevsecopsGitlab
13 Days Ago
Easy Apply
Remote
United States
Easy Apply
Senior level
Senior level
Cloud • Security • Software • Cybersecurity • Automation
Leads technical pre-sales activities for GitLab’s AI-powered DevSecOps platform across Southern EMEA. Responsibilities include customer discovery, demonstrations, solution architecture, proofs of concept and value, workshops, tenders, audits, and value stream assessments. Advises customers on software development, CI/CD, security, and cloud practices; collaborates with Account Executives on account strategy; builds customer relationships; and communicates feedback to Product, Engineering, Sales, and Marketing.
Top Skills: Artificial IntelligenceCloud ComputingContinuous DeploymentContinuous IntegrationDevsecopsGitlabSource Control

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account