ActiveFence

Solutions Engineer

• Serve as the Tier 1 technical voice in client meetings, RFPs, and novel scopes
• Conduct deep discovery conversations and convert them into executable scopes for research and delivery
• Own the top and middle of the funnel by creating conversations, earning the technical win, and defining partnerships
• Handle objections during live technical deep dives with engineering and research teams
• Build the frontier-lab community in the Valley through small, high-signal events
• Learn client needs from post-training, safety, and security leaders and establish meetings that generate clients
• Represent Alice at conferences, analyst briefings, technical talks, and joint research
• Carry market signals back into the company and act on them
• Work with the CTO to identify emerging priorities and push them into the roadmap
• Influence AI Labs pod agenda, AI security research priorities, and product direction
• Establish how Alice operates in the Valley and serve as the key person on the ground
• Interview for adjacent roles, support hiring in the region, and represent Alice locally

Technical Staff Member – Solution Architect, Evangelist

Researcher

• Ship a benchmark every two to three weeks measuring a previously unmeasured frontier risk
• Collaborate with leading AI labs and universities on benchmarks and papers
• Own the taxonomy, evaluation harness, quality bar, and release for each benchmark
• Review evals personally and ensure verifiers, rubrics, distributions, and taxonomies meet quality standards
• Hold the benchmark plan and calendar and keep researchers on timeline
• Direct two or three ad-hoc SME freelancers
• Set the quarterly release roadmap with the CTO, pod, and research leads based on research, client requests, and current events
• Read relevant research and maintain relationships with AI labs
• Speak with lab contacts weekly and attend conferences

Researcher, Evaluations and Benchmarks

• Ship a benchmark every two to three weeks measuring a previously unmeasured frontier risk
• Collaborate with leading AI labs and universities on benchmarks and papers
• Own benchmark taxonomy, harness, quality bar, and release
• Read evals personally and verify taxonomy alignment, rubrics, verifiers, and data distribution
• Hold the benchmark plan and calendar and keep researchers on timeline
• Direct two or three freelancers/SMEs as needed
• Meet roughly monthly with the CTO, pod, and research leads to revise the quarterly release plan
• Tie the release roadmap to target accounts
• Spend approximately 20% of time monitoring the ecosystem and reading research
• Maintain contacts inside AI labs and speak with lab personnel weekly
• Travel to conferences a couple of times a year

• Ship a benchmark every two to three weeks measuring a previously unmeasured frontier risk
• Collaborate with leading AI labs and universities on benchmarks and papers
• Pair with in-house researchers who own specific harm areas and direct freelancers
• Own the taxonomy, evaluation harness, quality bar, and release
• Ensure frontier labs can rerun the benchmark and reproduce the reported numbers
• Read evals, verify taxonomy alignment, and push researchers on quality
• Own the benchmark plan and calendar and keep researchers on schedule
• Direct two or three freelance subject matter experts as needed
• Meet roughly monthly with the CTO, pod, and research leads to set the quarterly release roadmap
• Tie the release plan to target accounts
• Monitor the AI safety and security ecosystem, read research, maintain lab contacts, and gather feedback
• Travel to conferences and speak with AI lab contacts weekly