Technical Support Engineer

ABOUT the company

The company 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. The company'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, the company Research serves as our applied AI lab, providing the research horsepower needed to make truly agentic the company 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

ABOUT THE ROLE

We're hiring our first Technical Support Engineer to own customer issues end to end and build the company'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'LL 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

• Lead communication with CISOs, the company engineers, and IT leaders during high-stakes incidents

• Use AI to scale support: automate triage, draft responses, and build self-serve answers so each person on the team can handle more volume

• Turn ticket patterns into product direction by feeding recurring issues back to product and engineering

WHAT YOU'LL BUILD IN YOUR FIRST YEAR

• Support processes, tiers, service level agreements (SLAs), and escalation paths designed for enterprise the company customers

• Our ticketing, on-call, and incident communication setup, on tools like Pylon or Zendesk connected to Linear for engineering handoffs

• A knowledge base and troubleshooting runbooks for customers and internal teams

• Support reporting on first response time, resolution time, customer satisfaction (CSAT), and top ticket drivers

• The hiring plan and onboarding for the next support engineers, with a path to leading the team

WHAT WE'RE LOOKING FOR

• 5+ years in technical support or a similar customer-facing technical role at a B2B SaaS company with a technical product, ideally selling to enterprises

• Experience rolling out and scaling support processes, including SLAs, escalation paths, tooling, and metrics

• Hands-on experience applying AI to support work, such as AI-assisted triage, response drafting, or self-serve deflection

• Strong troubleshooting skills: comfortable reading logs, working with REST APIs and webhooks, and tracing a problem across systems

• Scripting ability in Python and working knowledge of SQL

• Fluency with support metrics (first response time, resolution time, CSAT) and experience improving them

• Clear, calm written and verbal communication with both technical and executive audiences

• Comfort building process where none exists yet

BONUS POINTS

• Cybersecurity experience, especially with vulnerability management tools like Tenable, Qualys, Rapid7, Wiz, or CrowdStrike

• Experience managing or mentoring a support team

• Working knowledge of a major cloud platform (AWS, GCP, or Azure) and identity concepts like SSO/SAML and OAuth

• Familiarity with IT service management tools like Jira and ServiceNow

• Experience supporting AI, machine learning, or agent-based products

• Experience as the first support hire at an early-stage startup

The company is an equal opportunity employer. We welcome applicants of all backgrounds and evaluate candidates without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.