1 month ago
Responsibilities
- Collaborate with Solutions Architects, leadership, Product, and Engineering to scope technical work and translate ambiguous business needs into deliverables.
- Evaluate and integrate LLMs, agents, and workflow automation to improve measurable productivity.
- Build internal tools, agents, and automated workflows for technical discovery, solution design, demos, customer engagements, territory and pipeline management, and product interlock.
- Harden successful tools and workflows into scalable, maintainable, production-grade solutions.
- Identify recurring friction across Solutions Architecture workflows and build reusable solutions.
- Build custom demo environments, proof-of-concept applications, and technical assets for strategic customer engagements.
- Document tools, architectures, and usage patterns for adoption and extension by others.
- Debug, extend, and maintain backend systems across varied codebases and infrastructure.
Requirements
- At least 4 years of experience shipping production systems as an engineer.
- Strong backend engineering fundamentals, including debugging failing systems, tracing issues across services, and reasoning 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 AWS or GCP cloud infrastructure, including deployment, monitoring, and basic DevOps.
- Experience building internal tools, developer platforms, or workflow automation.
- Ability to work across multiple codebases and technology stacks simultaneously.
- Hands-on experience using AI and LLM tools in an engineering workflow while retaining independent debugging and problem-solving ability.
- Strong written and verbal communication skills and the ability to explain technical decisions to non-technical stakeholders.
- Comfort scoping and shipping iteratively amid ambiguity.
- Preferred qualifications include platform or low-code framework experience, Solutions Engineering, Sales Engineering, GTM Engineering, or customer-facing product engineering experience.
- Preferred qualifications include familiarity with Stripe products, APIs, payments or fintech, third-party integrations such as Salesforce or Gong, broadly adopted internal tools, and consulting or professional services experience.
Tech Stack
Categories
About Stripe
Stripe builds financial infrastructure for internet businesses, offering APIs and tools for online and in‑person payments, subscriptions, marketplaces/payouts, fraud prevention, identity, tax, issuing, and treasury. It monetizes through per‑transaction fees and SaaS pricing for advanced products. Founded in 2010 and headquartered in South San Francisco, Stripe is privately held and serves companies from startups to large enterprises worldwide.