ActiveFence
ActiveFence
ActiveFence is a cybersecurity and artificial intelligence company focused on trust and safety for online platforms. Its full-stack offering combines intelligence research, AI-powered detection of harmful content, and content moderation tools to help platforms address risks such as child exploitation, disinformation, hate speech, terrorism, nudity, fraud, and other forms of online harm. ActiveFence supports trust and safety teams of different sizes, helping protect more than three billion users worldwide across over 100 languages.

AI Research Technical Staff Engineer - ActiveFence

Lead AI engineer building 0-to-1 products from frontier AI capabilities. Own architecture, client technical engagements, and commercialization within a dedicated product pod.

Description

  • Design, build, and launch greenfield products from inception through securing the first paying design partners.
  • Create tailored demos and proofs of concept that support prospective client conversions.
  • Lead high-stakes technical deep dives and whiteboard sessions with elite engineering teams.
  • Resolve complex technical objections in real time without escalation.
  • Collaborate with the Pod Manager and product lead to define the technical roadmap.
  • Test architectures against early-adopter needs and refine integration specifications.
  • Develop automation initiatives that reduce costs and accelerate time to market.
  • Sustain a high-velocity, hands-on engineering output.
  • Help the pod resolve critical bottlenecks and deliver against major deadlines.

Requirements

  • Bring at least eight years of experience as a former CTO, technical co-founder, or Principal/Staff Engineer who has shipped complex software systems from scratch.
  • Demonstrate exceptional hands-on coding and system design ability.
  • Bring substantial experience with modern AI approaches, including agentic workflows, red-teaming, or trust and safety infrastructure.
  • Apply strong commercial judgment to connect technical opportunities with revenue potential and customer pain points.
  • Communicate exceptionally well with external technical executives, principal engineers, and lab leaders.
  • Work pragmatically and autonomously with a low-ego mindset.
  • Thrive in fast-moving 0-to-1 environments with limited organizational structure.

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