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Roles
Compensation
USD 176000 - 196000
$176k-$196k + equity + 401k
- Salary period
- yearly
- Location basis
- base pay will vary based on factors such as work location
- Equity
- Equity
Benefits
- Equity
- 401k
Tech stack
Required
Nice to have
Location
Philadelphia, Palo Alto
Work setup
- Employment
- full-time
- Level
- Senior
- Remote policy
- US Remote
- Remote scope
- onsite
- Visa
- Will you now or in the future require visa sponsorship to work in the country where this role is based?* Select...
Role details
Responsibilities
- Work on browser extension code (content/background scripts, manifest v3, message passing)
- Build backend services processing millions of events
- Build data pipelines feeding a detection engine
- Debug browser extension behavior such as capturing form submissions on SPAs
- Fix and optimize backend components such as Kafka consumers
- Optimize telemetry collection hot paths using Rust
- Build systems to detect shadow AI when employees paste sensitive data into LLMs such as ChatGPT or Claude
Requirements
- ~8+ years experience
- Real browser knowledge (DOM, event loop, SPA routing, CORS)
- Prior browser extension work
- Strong TypeScript
- Comfortable in Python
- Willing to write Rust
- Data-at-scale chops (event streaming, PostgreSQL, Elasticsearch, Kafka)
Application
Apply via the provided Greenhouse link, or see all open roles at the careers page.
- Portfolio
- not required
- GitHub
- not required
- Cover letter
- unclear
- Apply flow
- ats
Company context
We secure the SaaS apps companies actually run on, including M365, Salesforce, and more.
- Product
- Threat detection and security for SaaS apps
- Industry
- Security
- Open source
- unclear
Description
We secure SaaS apps companies actually run on, including M365 and Salesforce. You’d be on the Threat product team working full-stack, including browser extension code (content/background scripts, manifest v3, message passing), backend services processing millions of events, and data pipelines feeding a detection engine. You will work on detecting shadow AI, i.e., catching when employees paste sensitive data into ChatGPT, Claude, or other LLMs. You will build systems that detect this behavior. Looking for ~8+ years experience with real browser knowledge (DOM, event loop, SPA routing, CORS) and prior browser extension work. Strong TypeScript, comfortable in Python, willing to write Rust, and data-at-scale experience (event streaming, PostgreSQL, Elasticsearch, Kafka). Bonus areas include AI security (prompt injection, exfiltration), detection engineering/SIEM, or security tooling. Apply via the link above, or see all open roles at the provided careers page.
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