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Partner Solutions Architect , AI Builder

AI Summary
Supabase is seeking a senior Partner Solutions Architect to enable AI-builder partners such as Anthropic, OpenAI, Vercel, and Lovable. The role combines partner technical enablement, solution architecture, troubleshooting, co-sell support, and developer-facing technical evangelism. The successful candidate will create workshops, demos, integration guides, reference architectures, and reusable solutions around Supabase and modern AI application stacks. This is a highly autonomous, externally facing role requiring deep PostgreSQL, API, React/Next.js, and LLM/agent-platform expertise in a fast-moving remote environment.
Remote from
🌐 Anywhere
Salary
Undisclosed
Employment
Full Time
Experience
Senior
Published
Apply before
3 Dec 2026
Listing views
19
Application actions
1
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Opportunity details

About this role.

About Supabase

Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.

Supabase is the backend of choice for a growing wave of AI-native builders, and we’re deepening structured partnerships with the platforms they build on top of — Anthropic, OpenAI, Vercel, and Lovable. These partners’ teams are talking to thousands of developers and agents who need exactly what we build—a full backend platform with Postgres at the core—without the vendor lock-in. This is an opportunity to get Supabase in front of the right partner SAs and make us the default recommendation for a modern, AI-ready backend.

About the Role

We’re looking for a Platform Solutions Architect to join our Success Team and help embed Supabase into the Solutions and Engineering communities with AI Builders.

You’ll work closely with Partner Solutions Architects and Partner Engineers at Anthropic, OpenAI, Vercel, and Lovable, helping us proactively identify builder problems where Supabase is the right solution and closing the gap between partner intent and real developer outcomes. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions of AI-native apps and agents.

What You’ll Be Responsible For

In this role, you’ll focus on three core pillars:

Technical Evangelism & Education

  • Build deep relationships with Technical counterparts at Anthropic, OpenAI, Vercel, and Lovable, focusing initially on defined use cases and agent/app-migration motions.

  • Develop and deliver technical workshops, training materials, and enablement content to give partner SAs the fluency to position Supabase.

  • Create demos, integration guides, and reference architectures that make Supabase’s fit with Anthropic, OpenAI, Vercel, and Lovable immediately legible.

  • Partner with SAs at these companies on active opportunities to move deals forward and feeding technical pipeline intelligence back to the alliance lead.

Technical Support & Enablement

  • Resolve blockers for partner SAs working on Supabase implementations to maintain their credibility with the builders they support.

  • Troubleshoot complex integration scenarios and turn solutions into reusable assets.

  • Maintain a close feedback loop with Supabase product and engineering teams to ensure technical guidance reflects the latest platform capabilities.

  • Measure success through co-sell opportunities sourced, influenced deals, and SA enablement metrics across the Anthropic, OpenAI, Vercel, and Lovable partnerships.

Content Creation & Thought Leadership

  • Write technical blog posts and case studies that demonstrate real-world Supabase implementations built on Anthropic, OpenAI, Vercel, and Lovable.

  • Represent Supabase at conferences, meetups, and partner-sponsored events (e.g. Anthropic and OpenAI dev days, Vercel Ship, Lovable community events).

  • Develop video content and interactive learning experiences to reduce the “time-to-fluency” for partner SAs.

You Might Be a Good Fit If You

  • Have 5+ years of experience in technical roles with deep hands-on experience building on modern AI infrastructure. Previous experience working at Anthropic, OpenAI, Vercel, Lovable (or a similar AI builder platform) or as a partner to one is required.

  • Understand how partner SAs at AI builder platforms are incentivized, how they make recommendations, and how the partner ecosystem influences developer decisions.

  • Communicate clearly across both technical and non-technical audiences, explaining complex concepts with ease.

  • Have a strong technical foundation in PostgreSQL, APIs, and modern development frameworks like React and Next.js, plus fluency with AI/agent tooling (LLM APIs, MCP, agent frameworks).

  • Are comfortable navigating ambiguity and moving quickly to build a playbook from scratch.

  • Are energized by solving real-world problems for developers building the next generation of AI-native products.

What We Offer

  • Fully Remote

    We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

  • ESOP

    Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

  • Tech Allowance

    Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

  • Health Benefits

    Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

  • Annual Off-Sites

    Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

  • Flexible Work

    We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

  • Professional Development

    Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

About the Team

Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

  • ~400 team members

  • 60+ countries

  • 20+ languages spoken

  • Over $1B raised (including our $500M Series F)

  • 540,000+ community members

We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a senior ecosystem-facing architecture role requiring both hands-on technical depth and proven understanding of AI-platform partner motions. The candidate must independently establish repeatable enablement programs while solving complex implementation issues across strategic partners.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$175,000
US market range (per year)$140k–$220k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary range is stated. Yearly compensation is inferred from the senior full-time solutions architecture role and estimated in USD at a median of $175,000, with an indicative market range of $140,000–$220,000 per year.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you enable a partner solutions-architecture team to recommend Supabase for AI-native applications?

I would start by identifying the partner's highest-volume developer use cases and current technical objections. I would build a concise enablement path with reference architectures, live demos, migration guidance, office hours, and clear qualification signals, then measure adoption through trained SAs, sourced opportunities, and influenced deals.

Describe how you would troubleshoot a complex Supabase integration issue involving an LLM application.

I would first reproduce the issue and isolate whether it originates in authentication, database access, API behavior, Edge Functions, retrieval workflows, or the application framework. I would communicate progress clearly to the partner, implement a secure and scalable resolution, and document the outcome as a reusable troubleshooting guide or reference implementation.

What technical considerations matter when designing a backend for an AI agent application?

Important considerations include secure identity and authorization, structured data modeling, conversation and event persistence, retrieval performance, observability, rate limits, tool-call safety, and reliable API boundaries. I would use Postgres capabilities and well-defined service interfaces to make the system maintainable as agent usage grows.

How do you communicate a complex technical concept to both a partner engineer and a non-technical alliance stakeholder?

I tailor the explanation to the audience while keeping the core outcome consistent. For engineers, I use architecture diagrams, code examples, and trade-offs; for business stakeholders, I connect the same design to faster implementation, reduced risk, developer adoption, and measurable partner impact.

How would you build a feedback loop between strategic partners and Supabase product and engineering teams?

I would capture recurring integration blockers, feature requests, implementation patterns, and deal-impacting gaps in a structured format. I would regularly prioritize that feedback with product and engineering based on frequency, strategic importance, and developer impact, then close the loop with partners when improvements ship.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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