Senior Security Engineer - Enterprise AI
at Faire
San Francisco, CA, hybrid, senior, full time, USD 1,74,500–2,40,000 / year, 5+ years
posted 06 May 2026
- Java
- Claude.ai
- Mode
- Portkey
- Go
- Anthropic
- Datadog
- Prompt Engineering
- Glean
- Snowflake
- RAG
- OpenAI
- Splunk
- Ruby
- Fireworks
- ChatGPT Enterprise
- Python
About the role
Posted: 2026-05-06
About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
Help keep Faire's AI adoption moving fast, safely:
The Enterprise Security team at Faire owns the tools and policies that keep our people, data, and systems protected. The team's scope includes endpoint detection, data loss prevention, email security, corporate threat detection, compliance training, and AI governance.
As our Senior Security Engineer focusing on Enterprise AI, you will own the AI platforms Faire runs on and build the technical guardrails that let AI adoption keep accelerating without new exposure. You will have a real voice in how we scale AI safely here, and you will own turning that direction into working systems, standards, and controls.
You're excited about this role because…
- You want to own the AI platforms a fast-growing company runs on, not just review them from the sidelines.
- You enjoy getting into the weeds and building technical guardrails, not just writing policy for others to implement.
- You care about being a trusted technical voice when it's time to decide whether a new AI tool clears the security bar.
- You get energized by turning a fast-moving landscape (new platform features, agent frameworks) into frameworks and repeatable assessments other teams can actually use.
- You want to give engineering teams paved roads and reusable guardrails for agentic workflows, not one-off reviews.
What you would do
Read from boards.greenhouse.io, last seen 4d ago.