Contributed to quota attainment
At JetBrains in 2025, supported enterprise discovery, proof-of-concept engagements, and product demonstrations that contributed to 220% year-over-year quota attainment.
I bridge the gap between enterprise engineering and developer technology. I’m William Rainaud, a Customer Success Engineering leader at JetBrains, helping organizations turn complex developer platforms into lasting business value.
Strategist by profession. Engineer by curiosity. Builder by nature.
Start with enterprise impact, then explore the career behind it.
Connecting technical decisions with the people, teams, and business goals behind them.
At JetBrains in 2025, supported enterprise discovery, proof-of-concept engagements, and product demonstrations that contributed to 220% year-over-year quota attainment.
At Grafana Labs, guided customers through evaluation, onboarding, and adoption while achieving 100% annual recurring revenue growth.
At TechXtend in 2018, delivered erwin data architecture and governance solutions to enterprise buyers. Recognized with the TechXtend MVP Award.
Career results reported in my professional background. These are role-level results, not individual customer case studies.
My experience spans enterprise data architecture, performance testing, observability, and developer tooling. The common thread is helping organizations move from a promising evaluation to sustained use.
Today, I lead North American Customer Success Engineering at JetBrains, setting regional strategy, mentoring engineers, and partnering with strategic accounts.
Enterprise technical discovery and POC programs at JetBrains connect product capabilities with the problems engineering organizations need to solve.
As a k6 specialist at Grafana Labs, I led enterprise performance-testing POCs and supported multi-million-dollar deals alongside account executives.
My work connects Sales, Product, and Engineering through technical engagement, customer feedback, and a focus on long-term value.
From data architecture to developer experience. Expand a chapter for the work behind the role.
Lead the North American Customer Success Engineering organization with a focus on enterprise adoption, retention, and expansion. Define regional strategy, manage and mentor CSEs, and serve as a technical executive partner for strategic accounts.
Led enterprise technical discovery, POCs, and demonstrations; contributed to 220% YoY quota attainment in 2025. Represented JetBrains at developer and enterprise conferences, including AWS re:Invent, DeveloperWeek 2026, DPE Summit, and IntelliJ Gathering.
Brought performance-testing and observability expertise to enterprise evaluations. Led technical POCs and supported multi-million-dollar deals in partnership with account executives.
Guided customers through evaluation and onboarding toward long-term platform adoption. Achieved 100% ARR growth in 2021.
Connected enterprise data architecture and governance solutions with C-level priorities. Achieved 42% revenue growth for the erwin product line in 2018 and received the TechXtend MVP Award.
M.S. Information Systems
Monmouth University
· 2019–2022
Full-Stack Web Development Certificate
Rutgers University · 2017–2018
B.A. Photography
Monmouth University ·
2011–2014
Hands-on work that keeps the engineering curiosity alive.
Monmouth Inventory Control Application. A team-built web application for inventory tracking and reporting workflows at Monmouth University.
Support inventory tracking and reporting in a single web application.
Built with a team at Monmouth University, combining full-stack application development with inventory-management workflows.
A public repository, live demo, technology breakdown, and measured outcomes are not available on this site yet.
This site. An exploration of clear storytelling, accessible interaction, and how much a lightweight static page can do.
Make professional experience and technical work easy to explore, using semantic HTML, responsive CSS, and progressive JavaScript enhancement in a single deployable file.
Native disclosure controls keep project and career details usable without JavaScript. The command palette, interest paths, and architecture explorer add optional depth. System fonts avoid external font requests.
A single artifact fits the current S3 deployment and keeps operations simple. As the content grows, separate records and static page generation will make editing and navigation easier.
An API endpoint discovery tool that probes a target API and reports paths, methods, response details, and starter code for exploring the results.
View Andpoint on GitHub ↗ · Repository access is restricted.
A simplified view of the repository’s configured upload pipeline. Public HTTPS delivery is a separate infrastructure step.
Source: a single HTML artifact contains the site’s markup, styles, and interactions. No application server or build runtime is needed.
A place for engineering curiosity beyond the day job: infrastructure, Linux, local AI, and the small automations that make life better.
Explore my GitHubShort perspectives on enterprise engineering and building with intention.
A useful evaluation starts with a decision. What does the engineering team need to learn, and what evidence would change its mind? A feature checklist alone cannot answer those questions.
Define the workflow, the constraints, and the success criteria before starting a proof of concept. Include the people who will operate the platform, not just the people who approve the purchase. Capture friction alongside the successful demo.
The output should be a clear recommendation: what worked, what remains uncertain, and what it would take to adopt the platform sustainably.
Cross-functional work becomes easier when everyone can see the same customer problem. Sales needs to understand the decision. Engineering needs to understand the constraints. Product needs to understand whether a request reflects a broader pattern.
A useful technical handoff preserves that context. Record the problem, the evidence gathered, and the open questions. Distinguish a customer commitment from an idea still being explored.
Trust grows when the next team can act without rediscovering everything the previous team learned.