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Open nowPosted 304 days ago

Full Stack Product Engineer, Team Lead — Deepfake Detection

resemble-ai4 open roles

Where
Mountain View, CA
Work mode
On site
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Your applicationOpen nowFull Stack Product Engineer, Team Lead — Deepfake Detectionresemble-ai · Mountain View, CA

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on resemble-ai's own form.

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 304 days ago

The posting

About the Company

Resemble AI is at the cutting edge of Generative Voice AI, creating immersive and innovative voice solutions that transform how we interact with technology. Our products empower creators and businesses to bring a new level of authenticity and engagement to their digital interactions, from virtual assistants to personalized content in multiple languages.

What you’ll do

  • Own product features for detection: UI, APIs, workflows, and operational tooling.
  • Build and support customer deployments across Linux, Kubernetes, and on-prem/private cloud environments.
  • Use GenAI tools to accelerate systems work: incident/debug summaries, config generation, Helm/K8s troubleshooting, log analysis, release notes, and customer-facing docs—while keeping security and correctness high.
  • Design reliable, secure, observable services with clean upgrade/rollback paths.
  • Partner with enterprise customers and internal teams to deliver integrations that stick.

What we’re looking for

  • Strong GenAI product fluency: you can apply GenAI tools to real-world infra + deployment work (logs, manifests, scripting, docs), and you’re disciplined about verification in high-stakes environments.
  • Senior+ engineer with end-to-end ownership and systems thinking.
  • Strong in Python and React (or equivalent frontend).
  • Very comfortable with Linux, containers, Kubernetes, and enterprise constraints.
  • Entrepreneurial and customer-focused.

Bonus

  • Experience integrating model APIs and building internal tooling for ML product teams.
  • Previous startup experience in a high-ownership environment

Interview scorecard (what “great” looks like)

  • Shipping & ownership: takes features from vague idea → production with minimal hand-holding
  • Systems & deployment: strong Linux/K8s intuition; designs for operability
  • Execution cadence: keeps work moving, communicates clearly, unblocks without “managing”
  • Enterprise readiness: security, reliability, docs, supportability
  • Startup mindset: fast learner, low ego, high accountability

Why Join Us?

  • Be part of a cutting-edge company that is shaping the future of AI-driven speech technology.
  • 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.
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