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Elicit

AI-powered literature review and data extraction

Engineering Manager

Full-Time
$250k - $300k/yr+ Equity
Mid, Senior
Oakland, CA, USA
HybridRemote work requires overlap between GMT and GMT-8 and quarterly in-person retreats.
Engineering ManagementEngineering Leadership

About the job

Requirements
  • Seven or more years of professional software engineering experience.
  • Three or more years of directly managing software engineers.
  • Experience leading engineering teams at high-bar startups.
  • Strong computer science fundamentals and sufficient technical depth to earn the trust of senior engineers.
  • Experience shipping complex, user-facing products with measurable business impact.
  • A track record of helping engineers grow through coaching, mentorship, and clear feedback.
  • Strong communication skills and the ability to collaborate across engineering, product, and design.
  • Curiosity about language models, artificial intelligence, and building products that improve reasoning and decision-making.
Responsibilities
  • Directly manage a team of up to eight software engineers.
  • Coach engineers through technical growth, career development, and increasing ownership.
  • Build a culture of high standards, rapid iteration, and thoughtful execution.
  • Identify, hire, onboard, and develop exceptional engineers.
  • Partner with product, designers, and fellow engineers to prioritize tactical and strategic goals into a roadmap.
  • Own execution of a significant portion of the product roadmap.
  • Balance rapid shipping with building maintainable systems as the company grows.
  • Remove execution bottlenecks and ensure the team consistently delivers high-quality work.
  • Participate in architectural discussions and technical planning.
  • Review code and provide thoughtful technical feedback.
  • Help engineers make sound tradeoffs around performance, reliability, scalability, and simplicity.
  • Improve engineering processes, tooling, and team effectiveness.
  • Develop engineers into increasingly independent technical leaders.
  • Give actionable feedback through regular coaching and performance management.
  • Foster a collaborative environment where engineers learn from one another and continuously improve.
  • Guide the team toward effective use of coding agents while ensuring engineers develop the skills to work effectively with them.
  • Lead a high-performing team of about seven engineers.
  • Attract, source, and hire excellent engineers.
  • Drive execution across complex product initiatives.
  • Partner with product, design, and research to turn ambiguous ideas into shipped software.
  • Give thoughtful feedback, coaching, and career guidance.
  • Participate in architecture discussions, system design reviews, and technical planning.
  • Improve how the team works rather than serving primarily as an individual contributor.
  • Raise the quality bar for engineering and AI-assisted development.
  • Meet the team and understand in-flight work and product direction.
  • Ship a small feature or bug fix to understand the engineering process end-to-end.
  • Participate in technical design discussions and code reviews.
  • Build relationships through regular one-on-ones.
  • Pair with engineers across the team to learn the technology stack and collaborate effectively.
  • Take ownership of team planning and delivery.
  • Establish a regular coaching cadence with each engineer.
  • Lead sprint planning, prioritization, and execution for the team roadmap.
  • Identify opportunities to improve engineering quality, process, or developer experience.
  • Own an important area of the engineering organization independently.
Desired Qualifications
  • Founders, chief technology officers, or engineering leaders from seed or Series A startups who remained close to the code are considered especially strong fits.
  • Enjoy helping engineers grow more than writing code personally.
  • Care deeply about engineering craftsmanship without slowing delivery.
  • Comfort switching between coaching a teammate, reviewing architecture, and discussing product priorities.
  • Prefer high-agency, low-process environments.
  • Motivation to improve science, reasoning, and the long-term impact of artificial intelligence.

About the company

Elicit is an AI-powered research assistant that speeds up complex scholarly workflows by using large language models to search a database of over 125 million papers through natural-language queries. It goes beyond keyword searches by finding semantically relevant studies, extracts specific data from papers, and compiles results into organized tables and summaries. Users can upload their own PDFs for analysis, with outputs grounded in verifiable sources to reduce AI hallucinations. The platform operates as a Public Benefit Corporation, serving individuals and large organizations while offering tiered freemium pricing to improve research efficiency and evidence-based decision making.

Company Size

51-200

Company Stage

Series A

Total Funding

$31M

Headquarters

Oakland, California

Founded

2023

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Simplify Jobs

Simplify's Take

What believers are saying

  • Elicit reported 400,000 monthly researchers in 2023 and now claims 5 million users.
  • February 2025's $22 million Spark Capital- and Footwork-led round funds enterprise expansion.
  • The August 31, 2026 product push targets teams with Pro, Scale, and Enterprise workflows.

What critics are saying

  • OpenAI, Google, and Anthropic bundle research agents into copilots, compressing Elicit's standalone pricing power.
  • Elicit still misses relevant studies in systematic-review testing, undermining trust in high-stakes workflows.
  • If enterprise adoption stalls, API access alone won't justify a $100 million valuation by 2027.

What makes Elicit unique

  • Elicit's September 1, 2026 changelog adds shared Skills, Collaborative Sessions, and Shared Projects.
  • Its July 15, 2026 API searches 138 million papers and 545,000 clinical trials.
  • Every answer is grounded in sentence-level citations, reducing hallucinations for regulated research.

Help us improve and share your feedback! Did you find this helpful?

Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • Flexible Work Hours
  • Remote Work Options
  • Paid Vacation
  • 401(k) Retirement Plan
  • 401(k) Company Match
  • Home Office Stipend

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

5%

2 year growth

9%
Elicit
Aug 31st, 2026
AI-powered research is now multiplayer.

AI-powered research is now multiplayer. Skills, Collaborative Sessions, artifact editing, and Shared Projects in Elicit make AI-powered research more collaborative. Aug 31, 2026. AI has enabled a single researcher to do more work than ever before. But making individual tasks faster only solves part of the problem with research. Scientific progress is cumulative, with each advance building on the work of others. If AI is going to transform scientific research, it also needs to support how researchers actually work. At Elicit, Elicit believe in empowering teams, so Elicit has built the shared environment that science needs for researchers and AI agents to work together. An AI environment built for collaborative science. Elicit started by helping researchers automate evidence synthesis. More recently, with the launch of Elicit Research Agent, APIs, and the MCP server, Elicit expanded what people could do with that evidence. As these workflows have become more capable, Elicit want to take the next step toward supporting collaborative research. Elicit believe three principles are especially important for making AI-powered research more collaborative. 1. Research expertise should be reusable. A lot of research expertise lives in the process people use to get an answer. Expert researchers know which sources to check, what questions to ask, what evidence to prioritize, and how to structure the final output. But these workflows are highly variable across teams and are difficult to replicate across teammates. That is why Elicit built Skills. Skills allow researchers to formalize research workflows and share them across the organization. Elicit also comes preloaded with a suite of Skills that use industry best practices for common research use cases. Researchers can use these out-of-the-box Skills or create their own to share with others on the team. Over time, Elicit want teams to build a shared library of Skills that reflects how their organization works, so useful research methods can spread beyond the person who developed them. Skills are now available in Elicit for Pro, Scale, and Enterprise subscribers. Read the help article to get more details on this feature. 2. Research is a shared experience. With most AI tools available today, collaboration often starts only after the initial work is complete and someone shares the output for review. Real-world research, however, involves multiple moving parts and may require multiple researchers to work on different aspects of the research process or play different roles along the way. Elicit want to make the research process collaborative from the start. That is why Elicit built Collaborative Sessions and artifact editing. Collaborative Sessions allow multiple researchers to work from the same session and shared context, edit shared artifacts, and view the complete version history of all edits. Artifact editing allows researchers to independently engage the Research Agent to build on prior work. Researchers can spin up side threads to have the Agent answer questions about work that has been created. Now, for the first time in Elicit, researchers can co-create, review each other's work, and collaborate with AI agents on the same scientific problem. Collaborative Sessions and artifact editing are available to Elicit users who are part of an organization and are on the Scale or Enterprise plans. Read the help article to learn more. 3. Research should build institutional knowledge. Research work is often recreated because the context behind it is hard to find or has been lost. Evidence is collected for one project, analyses live in separate files, and useful context stays with the person who did the work. As a result, teams often have to rebuild much of the work. That is why Elicit built Shared Projects. They give teams a persistent space for related research, including sessions, project files, sources, artifacts, and other project context, all of which can be shared across the team. As a result, different researchers can contribute to distinct streams of work in parallel, all toward a common goal. As Shared Projects evolve, Elicit want it to become a place where teams can return to existing work, understand what has already been done, and continue building on it. Shared Projects are available to Elicit users who are part of an organization and are on the Scale or Enterprise plans. Read the help article to learn more about this feature. Where Elicit go from here. Elicit is well on its way to making Elicit a shared environment where people and AI agents can collaborate on scientific work and contribute to work that compounds over time. The updates above are important steps toward making Elicit a home for collaborative research, where the work done today becomes useful context for the work that comes next. Over time, Elicit want teams to build their institutional knowledge on Elicit and redefine what AI and researchers can accomplish together. Talk to Elicit to see how Elicit can help your team build a shared research environment, reuse knowledge across projects, and collaborate more effectively with each other and AI.

Elicit
Jul 23rd, 2025
Introducing Clinical Trials

Today Elicit is launching Clinical Trials in Elicit.

Elicit
Mar 18th, 2025
How we evaluated Elicit Systematic Review

Last month, Elicit introduced Elicit Systematic Review, a new AI workflow that allows researchers to find papers, screen titles and abstracts, and extract data from full-text papers in 80% less time, without compromising accuracy.

Elicit
Feb 28th, 2025
Elicit Raises $22M to Build the Most Trusted AI Platform for Evidence-Backed Decisions

Elicit has raised $22M in Series A funding at a $100M valuation led by Spark Capital and Footwork. Existing investors Fifty Years, Basis Set, and Mythos also participated, reinforcing their conviction in our mission to deploy AI to radically increase good reasoning in the world. Today, Elicit is used by

Elicit
Feb 26th, 2025
Elicit Secures $22M for AI Platform

Elicit has raised $22 million in Series A funding at a $100 million valuation, led by Spark Capital and Footwork, with participation from existing investors. Elicit, used by over 400,000 researchers monthly, aims to expand its AI platform beyond academic research to support evidence-based decision-making across industries. The funding will help Elicit build infrastructure for good reasoning as AI reshapes the global economy by 2027.