AI Engineer, Stripe
$156.9-235.3k
A financial infrastructure platform for businesses
Be an early applicant
A financial infrastructure platform for businesses
1001+ employees
Be an early applicant
$156.9-235.3k
1001+ employees
Company mission
To increase the GDP of the internet
Role
Who you are
- 4+ years of experience as an engineer shipping production systems
- Strong backend engineering fundamentals: you can debug a failing system, trace issues across services, and reason about data flows
- Experience building and deploying AI agents, LLM-powered tools, or workflow automation beyond basic prompt engineering
- Experience scoping and delivering work with minimal oversight in a fast-moving, cross-functional environment
- Proficiency in at least two of: Ruby, Node.js, Python, or Next.js
- Familiarity with cloud infrastructure (AWS, GCP) including deployment, monitoring, and basic DevOps
- Experience building internal tools, developer platforms, or workflow automation
- Demonstrated ability to work across multiple codebases and technology stacks simultaneously
- Hands-on experience using AI/LLM tools in your engineering workflow—you're fluent with AI-assisted development but not dependent on it; you can reason through problems and debug without AI as a crutch
- Strong written and verbal communication skills; you can translate technical decisions for non-technical stakeholders and navigate cross-functional collaboration naturally
- Comfort with ambiguity—you can take a loosely-defined business problem, scope the engineering work, and ship iteratively without waiting for a perfect spec
Desirable
- Experience designing systems that non-engineers can build on top of or extend themselves (e.g., platforms, low-code frameworks, template systems)
- Experience in a Solutions Engineering, Sales Engineering, or GTM Engineering role—or a product engineering role where you worked closely with customers or go-to-market teams
- Familiarity with Stripe's products, APIs, or the payments/fintech domain
- Experience integrating with third-party platforms (Salesforce, Gong, etc.)
- Track record of building tools or systems that were adopted beyond your immediate team
- Background in consulting, professional services, or other roles that blend technical depth with business context
What the job involves
- Collaborate with Solutions Architects, SA leadership, Product, and Engineering to scope technical work and translate ambiguous business needs into well-defined deliverables
- Evaluate and integrate AI capabilities (LLMs, agents, workflow automation) where they provide genuine leverage—not for novelty, but for measurable productivity improvement
- Architect and build internal tools, agents, and automated workflows that accelerate SA and manager productivity across technical discovery, solution design, demoing, user engagements, territory/pipeline management, and product interlock
- Take high-potential tools and workflows built by SAs and managers and harden them into scalable, maintainable, production-grade solutions
- Identify patterns across SA workflows and proactively build solutions that address recurring friction
- Build custom demo environments, PoC applications, and technical assets for Stripe's most strategic customer engagements
- Document tools, architectures, and usage patterns so others can adopt and extend what you've built
- Debug, extend, and maintain backend systems across a variety of codebases and infrastructure
Our take
Stripe, nowadays a FinTech giant, spent the first few years since its founding building up its payments business, which primarily consisted of providing an API to eCommerce businesses so that they could easily integrate a payment option in their apps or websites, where before there was none.
More recently, Stripe has started to accelerate its growth with a significantly larger range of financial services including cash advances and credit cards. They also plan to build incorporation services, fraud protection, and more, diversifying its revenue away from payments and differentiating itself from its competitors.
To further expand its position, the company is extending its services to countries with vast customer potential, including Brazil, Japan and India. It is also partnering with OpenAI, the company behind ChatGPT - a win-win collaboration that is monetising OpenAI’s flagship products and at the same time enhancing Stripe with GPT-4, as it moves forward with intentions to "build the payments foundation for tomorrow's AI economy."
Freddie
Company Specialist at Welcome to the Jungle
Insights
-5% employee growth in 12 months
Company
Funding (last 2 of 14 rounds)
Mar 2023
$6.5bn
GROWTH EQUITY VC
Mar 2021
$600m
SERIES H
Total funding: $8.7bn
Company benefits
- Unlimited paid time off policy
- Work from home opportunities
- Comprehensive mental, physical and medical health plans
- Fertility benefits and parental leave
Company HQ
SoMa, San Francisco, CA
Leadership
Patrick Collison
(CEO)Studied maths at MIT before founding Stripe. Also on the board of the Long Now Foundation.
John Collison
(President)Studied at Harvard but dropped out to found Stripe.
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