Technical Support Engineer
at Cogent Security
San Francisco, CA; Remote, US, hybrid, full time, 5+ years
posted 22 Oct 2026
- Azure
- ServiceNow
- Rapid7
- Wiz
- SAML
- Jira
- SSO
- Linear
- SQL
- CrowdStrike
- OAuth
- GCP
- Tenable
- Webhooks
- Zendesk
- AWS
- Pylon
- Qualys
- REST APIs
- Python
About the role
Remote: yes Posted: 2026-10-22
ABOUT COGENT
Cogent is an Applied AI Lab building the next generation of AI agents for cybersecurity. AI has fundamentally changed how attacks happen, allowing malicious actors to operate at unprecedented speed and scale. Cogent's "AI Taskforce" assesses petabytes of enterprise data to remediate these issues before critical breaches occur.
To stay at the cutting edge, we blend frontier research with real-world execution. Alongside our core product work, Cogent Research serves as our applied AI lab, providing the research horsepower needed to make truly agentic security workflows a reality.
We partner with Fortune 500 companies to secure some of the most complex production environments in the world.
We're backed by Greylock & Bain Capital Ventures, and we've built a team with the best minds in applied AI. Our team is comprised of people from:
- Top universities like Stanford, Berkeley, Penn, Duke, Carnegie Mellon, Waterloo
- Unicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase
- World class cybersecurity experts from Wiz, Abnormal AI, Zscaler
- Preeminent research labs like Deepmind and SAIL
We're hiring our first Technical Support Engineer to own customer issues end to end and build Cogent's support function as our enterprise customer base scales. When an integration breaks or an agent behaves unexpectedly in a customer's production environment, you'll diagnose it, drive the fix with engineering, and close the loop with the customer.
What you would do
- Own technical escalations end to end, from triage and reproduction through resolution, across integrations, agent behavior, data pipelines, and the platform UI
- Debug inside Fortune 500 production environments using logs, APIs, and agent traces across the scanners, cloud providers, ticketing systems, and identity tools our agents connect to
- Act as the customer's advocate inside engineering: write clear, reproducible bug reports, drive fixes to resolution, and ship small fixes, scripts, and internal tooling yourself
- Partner with our Head of Customer Success and the Solutions Engineering team to get new customers integrated and live
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