
Elicit
Oakland, CA
AI research assistant for automating literature reviews
About
Elicit builds an AI platform that searches academic papers and generates structured research reports with citations. It serves researchers in academia, pharma, policy, and industry to accelerate evidence-based discovery. This scales scientific reasoning by automating tedious workflows like summarization and data extraction.
Tech stack
Python, TypeScript, Node.js, Next.js, Kubernetes, Tailwind
Perks & benefits
Health insurance, Dental insurance, Vision insurance, 401k match, Unlimited PTO, Parental leave, Home office stipend
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Open jobs
9Own and evolve Elicit's cloud infrastructure platform (AWS/GCP, Kubernetes, Terraform) to support scalable single-tenant enterprise deployments. Build observability, compliance (SOC 2), cost optimization, and developer experience while contributing to backend systems where infra meets application logic. Requires 5+ years infrastructure/SRE experience, strong Terraform and K8s expertise, and enthusiasm for AI coding agents.
Lead and grow a high-performing engineering team of up to 8 engineers at an AI startup focused on improving reasoning with language models. Balance people leadership, technical judgment, and product execution while coaching engineers, driving roadmap delivery, and raising the engineering bar in a high-agency environment.
Build and lead demand generation and field marketing for enterprise life sciences and research accounts, executing multi-channel campaigns, A/B testing, and analytics-driven optimizations to drive pipeline and revenue. Requires 5-7 years B2B marketing experience, strong quantitative skills, and startup builder mindset.
Owns full-cycle enterprise sales targeting research-driven organizations in biotech, pharma, and life sciences. Translates AI capabilities into business value, closes six/seven-figure deals, expands accounts, and shapes sales strategy with founders. Requires 8+ years experience exceeding quota in complex domains.
Enterprise Account Executive owns full sales cycles for AI research tools targeting life sciences, biotech, and pharma enterprises. Requires 8+ years enterprise sales experience, especially in research domains, with proven quota attainment and consultative selling to technical stakeholders.
Develops computational operators to enable LLMs to perform transparent, verifiable reasoning over thousands of iterations on knowledge states like scientific papers. Requires LLM experience, reasoning intuitions, and strong software engineering skills.
Builds backend systems integrating LLMs for AI research tools like living documents, focusing on prompting, model management, scalability, and fault-tolerance. Requires strong backend skills in Node/Python/K8s and enthusiasm for language models.
Builds and ships fullstack features for AI research assistant Elicit, focusing on language model integrations, scalable systems, and user needs. Requires senior-level experience across Node/Python backend and Next.js/TypeScript frontend with strong CS fundamentals.
Builds product workflows and agentic systems using language models for research tasks like evidence synthesis and experiment planning. Combines ML fluency with strong software engineering to create reliable, trustworthy AI tools for scientific decision-making.