Vercel is the agentic infrastructure company. We free people and agents to ship what’s next.
For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience.
Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents.
We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next.
Own the technical proof system for enterprise sales. Build POC playbooks, reference architectures, and competitive frameworks. Drive consistent technical wins. Measure impact on deal velocity, win rate, and proof quality.
Why This Role Exists:
- Product surface growth: New launches require repeatable proof plans, architectures, and positioning
- More technical buyers: CTOs and engineers evaluate Vercel against hyperscalers and incumbents with 10-100x the technical sales support systems as Vercel.
- POCs drive deals: Poorly scoped POCs slow or lose deals. Standardized proof increases win rate and speed
If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, Austin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.
What You Will Do:Own the Technical Proof System- Build POC playbooks for priority plays: Agent Platform, Composable Commerce, Web Performance, v0 Enterprise, AI Gateway
- Define success criteria, baseline to target metrics, owners, and weekly readouts
- Create “POC in production” paths where feasible
- Standardize proof artifacts: benchmarks, reference architectures, migration diagrams, security responses
- Partner with Field Engineering to improve POC discipline and consistency
- Create architecture-level positioning for Infrastructure and AI platform competitors
- Define “where we win” and “where we do not fit” with technical evidence
- Build persona-specific problem libraries with proof metrics
- Feed win and loss insights into plays and product feedback
- Convert launches into field-ready assets within one sprint: demos, architectures, proof plans, objection handling
- Build AE Technical Fluency Program: architecture, AI infrastructure, consumption models
- Enable AEs to lead technical conversations without SE dependency in early stages
- Feed field insights back to Product and Engineering
- Build structured technical discovery playbooks
- Define technical stage gates and required proof artifacts
- Run peer-led deal deconstructions
- Create coaching tools for SE managers: proof quality, scoping, intervention points
- Own technical narrative for Agent Platform, AI Gateway, AI SDK, v0
- Build benchmarks, simulations, and reference architectures for AI use cases
- Define migration paths from legacy and hyperscaler systems
- Model AI-native workflows and drive adoption across SE org
- Direct deal support
- SDR technical training
- Product Marketing strategy
- Generic training coordination
- Distinguished performance as a Solutions Engineer (SE), including experience in complex deals
- Deep technical fluency in architecture, AI infrastructure, and competitor offerings
- Ability to build reference architectures and proof frameworks
- Systems thinker who builds scalable programs
- Builder mindset. Ships v1 and iterates
- Cross-functional credibility across Sales, Product, Engineering
- Competitive compensation package, including equity.
- Inclusive Healthcare Package.
- Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
- Flexible Time Off.
- We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $189,000 - $231,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Similar Jobs at Vercel
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
