Role description
Resemble AIAbout the Company
At Resemble AI, we’re building the models that defend against AI misuse wherever and however the threat exists. From the first world model for generative AI detection to the first System One model for agent detection, Resemble AI is pushing the frontier of detection research so people don’t have to choose between embracing AI and refusing to be fooled by it.
What you’ll do
Own technical success for enterprise integrations: take customers from first POC → production rollout → expansion.
Embed with customer engineering teams to integrate detection into their workflows (APIs, batch pipelines, real-time streams, call-center tooling, SIEM/SOC flows, etc.).
Use GenAI tools to accelerate integration work: generate/refine sample code, SDK snippets, configs, runbooks, troubleshooting guides, and customer-facing docs—while validating outputs and protecting sensitive info.
Build repeatable “integration kits”: reference architectures, Helm charts / deployment templates, sample apps, and automated test harnesses.
Debug issues in real environments: logs, networking constraints, certs, proxies, SSO, and on-prem realities.
Partner with product/engineering to turn customer friction into roadmap, and advocate for the highest-leverage fixes.
What we’re looking for
Strong GenAI product fluency (top priority): you routinely use GenAI tools to move faster across coding + debugging + docs; you know how to verify correctness, avoid hallucinations, and handle sensitive customer data safely.
Mid–Senior+ technical background (software engineer, SRE, solutions engineer, implementation engineer, or similar).
Strong in Python and APIs (comfortable writing scripts, small services, and integration glue).
Comfortable with Linux, containers, and modern deployment patterns; Kubernetes/on-prem experience is a big plus.
Customer-facing presence: calm, structured communicator who can earn trust with technical stakeholders.
Entrepreneurial: you can operate with ambiguity and drive outcomes without waiting for perfect requirements.
Bonus
Prior experience shipping enterprise integrations (telco/security/fraud/trust & safety domains are extra relevant).
Experience building developer enablement: docs, reference implementations, workshops.
Interview scorecard (what “great” looks like)
Customer execution: drives POC → production; structured updates; handles ambiguity
Technical depth: strong debugging in Linux environments; API + Python competence
Deployment fluency: containers/K8s/on-prem patterns; understands enterprise constraints
Communication: clear, proactive, writes strong docs/runbooks, collaborates well
Why Join Us?
Be part of a cutting-edge company that is shaping the future of AI detection.
Work with a talented and passionate team dedicated to innovation and excellence.
Enjoy a collaborative and inclusive work environment that fosters creativity and growth.
Contribute to the development of technologies that have a real impact on AI security and the prevention of deepfake misuse.