Level

Stripe

Software Engineer, Security Business Enablement

AI in this role

Design and scale an AI-powered platform delivering source-traceable answers to security questions for sales teams and customers.

llmsretrieval-augmented-generationvector-databases
ragllm-integration

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Security Business Enablement (SBE) is Stripe's commercial security function: the interface between Stripe's internal security program and its Go-to-Market organization. We make sure security and compliance requirements never block, delay, or devalue Stripe's deals.

This work is about customer trust: businesses entrust Stripe with critical financial infrastructure, and their security teams need confidence that Stripe meets rigorous standards before, during, and after the sale. We make that trust tangible with accurate, consistent evidence of Stripe's security posture.

We own security due diligence end to end: questionnaire response, compliance evidence, live security reviews, gap and exception management, contractual security exhibits, rapid response during industry-wide events, and executive briefings. We engage customers directly, up to CISO level, and equip sales teams to handle security conversations on their own.

Our scope is unusually broad: one assessment can span security, privacy, business continuity, and resilience, translating deep control detail into language procurement, legal, and a CISO can each act on. We are often the first team asked to represent emerging parts of Stripe's posture.

We work at the intersection of security, AI, and Go-to-Market. Our platform is built on authoritative grounding: answers are retrieved from a knowledge base we maintain and validate, not generated from first principles, so they are consistent and source-traceable. Our POC proved the concept and outgrew what agent builders alone can do; taking it to production quality is the engineering problem this role exists to solve.

What you’ll do

Responsibilities

  • Design, build, and scale an AI-powered platform that delivers validated answers to security questions on demand, for both the sales teams who ask them and the customers who need them, replacing inconsistent ad-hoc responses with consistent, source-traceable ones
  • Build the retrieval, content pipeline orchestration, and integration layers that off-the-shelf tooling cannot deliver, including support for multiple cloud environments and Stripe's full and growing product portfolio, so that answers stay accurate as Stripe's infrastructure and products evolve
  • Build automations that keep security content current as Stripe rapidly adopts new technologies and introduces new controls, including automated refresh and review cycles that route content to subject-matter experts and Legal for validation
  • Build the capability to manage industry-standard certifications and assessment frameworks, including the Shared Assessments SIG and the Cloud Security Alliance CAIQ
  • Build analytics and evaluation capabilities that measure and continuously improve the performance and coverage of the security content library
  • Extend the same platform and knowledge base to power a public and authenticated Trust Center, giving customers direct self-service access to Stripe's security, privacy, resilience, and compliance posture
  • Partner with security analysts and with Security, Privacy, Legal, and Compliance stakeholders to expand coverage across Stripe's full security surface area, and own the reliability and operational health of what you build

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

  • 2+ years of software engineering experience building production systems
  • Strong coding skills in any programming language (we understand new languages can be learned on the job so our interview process is language agnostic)
  • Comfort working with retrieval-augmented architectures, content pipelines, and AI/LLM integrations, or demonstrated ability to learn quickly in these areas
  • Experience building workflow automation, including scheduled jobs, approval routing, and multi-stakeholder review processes
  • Comfortable instrumenting systems and working with data to measure quality, coverage, and performance, then using those measurements to drive improvement
  • Experience creating projects from scratch, taking ownership, and driving work to completion with minimal supervision
  • Strong communication skills and the ability to collaborate effectively with non-engineering stakeholders (security analysts, sales teams, legal)
  • Seek out opportunities for impact and can execute in a complex, cross-functional environment

Preferred qualifications

  • Experience building AI-driven products or workflows, particularly retrieval-augmented generation (RAG) systems or knowledge management platforms
  • Experience building evaluation frameworks for AI systems, such as measuring retrieval quality, answer accuracy, or coverage gaps
  • Familiarity with cloud security concepts across AWS and/or Azure
  • Previous experience with security software engineering, compliance tooling, or GRC platforms
  • Familiarity with security assessment frameworks and standards such as the Shared Assessments SIG, Cloud Security Alliance CAIQ, SOC 2, PCI DSS, or ISO 27001
  • Experience with content management systems, structured content modeling, or documentation-as-code approaches
  • Experience building customer-facing or internal self-service tools at scale
  • Comfort working in a small team where individual contributions have outsized, visible impact

How we rate this

Software Engineer, Security Business Enablement at Stripe rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RAGLLM IntegrationLLMsRetrieval Augmented GenerationVector Databases

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How have you integrated a large language model into a production application?
  3. What are the limits of LLMs that you've run into, and how did you work around them?
  4. What's a project where you used Retrieval Augmented Generation hands-on?
  5. Walk me through how you've used Vector Databases in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: RAG, LLM Integration, LLMs, Retrieval Augmented Generation, and Vector Databases. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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