---
title: 'Senior Software Engineer, Data and Integrations at Elicit'
canonical: 'https://feeny.ai/job/senior-software-engineer-data-and-integrations-elicit-oakland-jk378xnmxy9h'
type: 'job'
last_seen: '2026-11-05'
---

# Senior Software Engineer, Data and Integrations at Elicit

- **Company:** Elicit
- **Location:** Oakland, CA
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-17
- **Last confirmed live:** 2026-11-05
- **Apply:** https://jobs.ashbyhq.com/elicit/f510dfce-6a55-48a3-885f-decb95a7a0ac

## Job description

## About Elicit

Elicit is an AI research agent that helps scientists and decision-makers find, synthesise, and understand research. Pharma and biotech teams rely on it for systematic reviews and other work where the evidence has to hold up. We're a public benefit corporation, founded to radically improve reasoning for high-stakes decisions, and our engineering team is small and works in an AI-native way.

## Why this role exists

Elicit is only as useful as the evidence underneath it. That takes far more than a large corpus of academic papers. We bring together scholarly literature, clinical trials, specialised scientific databases, licensed publisher content, and our customers' private data, then make all of it usable in cited, agentic research workflows. You'll own a big part of that. You'll improve the distributed systems that build and update our search corpus, make adding a new source repeatable, and turn publisher and enterprise requirements into secure, dependable product features. This is product engineering with a strong data-systems core. It isn't an analytics or BI role. It's also a full-stack role. A new source only matters once researchers can see and use it, so part of your time goes to the product on top: our Next.js and React frontend, the TypeScript and Python services behind it, and the APIs that connect them to the data layer.

## What you'll do

- Own Elicit's scholarly search and data platform: its coverage, freshness, quality, reliability, and cost as the product and its sources change. Turn what customers and the business need into a technical plan for the area, working closely with product, sales, and partners.
- Bring new kinds of evidence into Elicit and make them useful to LLM-based features, keeping structure, citations, and provenance intact.
- Build secure, rights-aware integrations for enterprise customers and content partners. You'll turn requirements around access, privacy, isolation, and auditability into product behaviour, often working directly with their technical teams.
- Take features from a loose brief to production across frontend, backend, and data, with clear interfaces between the layers that you can change safely.
- Ship in small slices with staged rollouts, monitoring, and a way to roll back. Operate what you build, watch how people use it, and keep each new integration from adding more complexity than it's worth.
- Work on product features beyond integrations alongside the rest of engineering, and make the data platform easy for other engineers to build on.
- Use coding agents every day, review their output as carefully as you'd review a colleague's, and stay hands-on where the stakes are high.

## What we're looking for

- 5+ years of software engineering, including production systems you owned and architecture decisions you made yourself.
- Strong Python. You'll use it every day, and our interviews include live coding. Working knowledge of TypeScript too; React is a plus.
- Experience designing, debugging, and tuning distributed data pipelines. Spark is especially useful, and comparable distributed-systems experience counts.
- Solid SQL, plus a practical feel for partitioning, joins, columnar formats, and how data layout affects performance and cost.
- Experience integrating messy external data: APIs, bulk exports, file drops, changing schemas, rate limits, partial failures, and overlapping records.
- Care for data quality, entity resolution, provenance, and observability, and a plan for when things fail.
- User-facing features you've shipped end to end, not only the systems behind them.
- Product judgment. You connect infrastructure work to what researchers can do, and you'll work across layers to finish a feature.
- At least a year at an early or growth-stage company, somewhere small enough that you shaped the work rather than only executing a plan.
- Clear communication with engineers and non-engineers alike. You share proposals early, explain trade-offs plainly, and stay with a hard question.
- Pragmatic use of coding agents: noticeably faster because of them, with no drop in quality.

Location and travel We have a great office in Oakland, CA, and we'd love to see you there if you're local. That said, we're just as happy for you to work remotely. We do get the whole team together for a quarterly retreat somewhere fun, because in-person time matters to us.

## Benefits and perks

In addition to working on important problems as part of a productive and positive team, we also offer great benefits (with some variation based on location):

- Flexible work environment: work from our office in Oakland or remotely with time zone overlap (between GMT and GMT-8), as long as you’re comfortable traveling for quarterly in-person offsites
- Fully covered health, dental, vision, and life insurance for you, generous coverage for the rest of your family (FSA/HSA, too)
- Flexible vacation policy, with a recommendation of 20 days / year and plenty of company holidays
- Every Elician receives a $200 monthly wellbeing stipend to spend on whatever supports your health and wellbeing.
- 401K with a 6% employer match
- A new Mac + $1,000 budget to set up your workstation or home office in your first year, then $500 every year thereafter
- $1,000 quarterly AI Experimentation & Learning budget, so you can freely experiment with new AI tools to incorporate into your workflow, take courses, purchase educational resources, or attend AI-focused conferences and events
- A team administrative assistant who can help you with personal and work tasks
- You can find more reasons to work with us [in this thread](https://twitter.com/stuhlmueller/status/1694059800408269091)!

## Compensation

For all roles at Elicit, we use a data-backed compensation framework to keep salaries market-competitive, equitable, and simple to understand. For this role, we target starting ranges of:

- Senior (L4): $185-270k + equity
- Expert (L5): $215-305k + equity
- Principal (L6): >$260 + significant equity

We're optimizing for a hire who can contribute at a L4/senior-level or above. We also offer above-market equity for all roles at Elicit, as well as employee-friendly equity terms (10-year exercise periods).

## About Elicit

## Company Overview
- **One-liner**: Elicit is an AI research assistant that automates time-consuming research tasks such as literature review, data extraction, and synthesis, helping scientists and researchers become more evidence‑based.
- **Entity Type**: Private (Public Benefit Company; Series A stage with $31 M total funding)
- **Headquarters**: Oakland, California, United States
- **Founded**: 2023 (predecessor lab work began in 2018)
- **Founders**: Andreas Stuhlmüller (CEO) and Jungwon Byun (COO)

## Core Business
- **Primary industry/industries**: AI‑powered Research Services / Scientific Software
- **Target customers**: B2B (pharmaceutical companies, academic institutions, enterprises) and B2C (individual researchers); primary users are experts in biomedicine, health economics, computer science, and other evidence‑driven fields.
- **Mission or purpose statement**: “To scale up good reasoning for scientists and beyond” – the company is a Public Benefit Corporation that prioritises long‑term positive impact alongside profit.

## Products & Services
- **[Elicit Platform](https://elicit.com/)**: Web‑based AI research assistant. Users ask research questions, and the platform searches over 138 M papers, extracts structured data, and generates research reports with sentence‑level citations. Supports systematic literature reviews compliant with PRISMA 2020.
  **Type**: SaaS (web app)
- **[Elicit Systematic Review](https://elicit.com/)**: A specialised workflow for conducting reproducible, traceable, and auditable systematic reviews. Achieves 95% search recall, 97% abstract screening, and 96% data extraction accuracy.
  **Type**: SaaS (feature of the platform)
- **[Elicit API](https://elicit.com/)**: Programmatic access to Elicit’s search and report generation capabilities, enabling integration into external workflows and custom tools.
  **Type**: API
- **[Elicit Research Agent](https://elicit.com/)**: An autonomous agent that can explore broad topics, create competitive landscapes, and synthesise findings across multiple data sources.
  **Type**: SaaS (feature)
- **[Elicit Alerts](https://elicit.com/)**: A notification system that helps researchers stay current with new publications without inbox overload.
  **Type**: SaaS (feature)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: **Total Funding** – $31 M (Seed $9 M led by Fifty Years, Series A $22 M co‑led by Footwork and Spark Capital); the company has “millions of dollars of recurring revenue” and is growing revenue month over month [elicit.com](https://elicit.com/careers).
- **Notable Investors/Partners**: Fifty Years, Basis Set, Illusian, Mythos, Julian Capital; angel investors include Tom Preston‑Werner (GitHub co‑founder), Arash Ferdowsi (Dropbox co‑founder), Thomas Ebeling (former Novartis CEO), and Jeff Dean (Google Chief Scientist) [elicit.com](https://elicit.com/careers).
- **Growth Signals**: 
  - Over 5 million researchers use Elicit, including staff at major universities and enterprises.
  - Employee headcount reached ~40 in mid‑2026, a 40.5% year‑over‑year increase [linkedin.com](https://www.linkedin.com/company/elicit-research).
  - 13 active job postings; subscription model launched 18 months earlier is driving fast recurring‑revenue growth.
  - Recent product releases: Research Agent, API, Systematic Review updates aligned with PRISMA 2020, and a more powerful “Strict Screening” mode.

## Competitive Advantages
- **Accuracy & Trust**: Elicit supports every AI‑generated claim with sentence‑level citations from the underlying papers, and validates its accuracy against Cochrane reviews. It is the most accurate AI product for scientific research [elicit.com](https://elicit.com/).
- **Systematic Review Capabilities**: Unlike general‑purpose AI chatbots, Elicit provides rich, interactive tables and multi‑step workflows that meet rigorous academic standards (e.g., PRISMA 2020).
- **Early Mover & Alignment‑Focused**: Elicit began working with language models in 2018, well before the current AI boom, and is structured as a Public Benefit Company with a mission to advance AI safety through process‑supervised reasoning.
- **Deep Researcher‑Niche Focus**: The product is built specifically for scientists, not general‑purpose use, creating strong retention and domain‑specific defensibility.

## Strategic Focus
- **Product Expansion**: Continuously adding new features (Research Agents, API, Alerts) to cover the full research workflow from discovery to report generation.
- **Enterprise & International Growth**: Hiring Enterprise Account Executives for both US and EMEA regions, indicating a push into large institutional contracts and global markets.
- **Scaling Revenue**: The company is “growing fast” with millions in recurring revenue and aims to accelerate feature shipping to meet demand from paying subscribers [elicit.com](https://elicit.com/careers/aa99e2e9-5b15-4cd3-ac9d-9c9177ff61c8).
- **AI Safety & Alignment**: Continues to advance methods for building scalable ML systems with human‑understandable task decompositions, contributing to long‑term safe AGI research.

## Why Work Here
- **Culture**: High‑agency, low‑bureaucracy environment where “everyone takes ownership and avoids egos and status games.” The team values transparency, truth‑seeking, and continuous growth. Cross‑team collaboration is the norm [elicit.com](https://elicit.com/careers).
- **Remote/Hybrid Policy**: Flexible – team members can work from the Oakland office or remotely within time zones between GMT and GMT‑8. Quarterly in‑person company offsites are expected (travel 4+ times per year). Minimal meetings and no micromanagement [elicit.com](https://elicit.com/careers).
- **Compensation & Benefits**: 
  - Competitive salaries (e.g., Senior Software Engineer $185‑270K + equity).
  - Full coverage health, dental, vision, and life insurance for employee and generous family coverage.
  - 20 weeks paid parental leave (12 weeks fully paid).
  - 401K with 6% employer match.
  - $1,000 quarterly AI experimentation & learning budget.
  - Flexible PTO with recommended minimum 20 days/year.
  - New Mac + $1,000 workstation budget in first year, $500 annually thereafter.
  - Team administrative assistant available for personal/work tasks [elicit.com](https://elicit.com/careers/aa99e2e9-5b15-4cd3-ac9d-9c9177ff61c8).
- **Engineering Culture**: Engineers work directly with LLM experts; the company predates the AI bubble, offering deep learning opportunities. The stack is ML‑heavy, and engineers ship user‑facing features weekly. Roles include ML Engineer, Frontend Engineer, AI Engineer, and Evaluation Engineer.
- **Potential Downsides**: High ambiguity as an early‑stage startup; projects shift frequently. Self‑direction is expected; close mentorship is limited. Limited management track (few direct reports) – the team is intentionally kept small.

## Sources
1. [elicit.com](https://elicit.com/) – Main product page
2. [elicit.com/careers](https://elicit.com/careers) – Careers page with culture, benefits, investor list
3. [elicit.com/team](https://elicit.com/team) – Team and leadership page
4. [linkedin.com/company/elicit-research](https://www.linkedin.com/company/elicit-research) – LinkedIn company profile (headcount, funding, locations)
5. [elicit.com/careers/aa99e2e9-5b15-4cd3-ac9d-9c9177ff61c8](https://elicit.com/careers/aa99e2e9-5b15-4cd3-ac9d-9c9177ff61c8) – Senior Software Engineer job posting (compensation, benefits, engineering culture)

## Other roles at Elicit

- [Model Behavior Engineer, Reasoning and Decision Making](https://feeny.ai/job/model-behavior-engineer-reasoning-and-decision-making-elicit-oakland-3se31vhweyxj) — Oakland, CA
- [Infrastructure Engineer](https://feeny.ai/job/infrastructure-engineer-elicit-oakland-s1arcr5hndkw) — Oakland, CA
- [Engineering Manager](https://feeny.ai/job/engineering-manager-elicit-oakland-426esgz1dm9r) — Oakland, CA
- [Growth](https://feeny.ai/job/growth-elicit-oakland-zzw838hhezfq) — Oakland, CA
- [Enterprise Account Executive - EMEA](https://feeny.ai/job/enterprise-account-executive-emea-elicit-remote-mfj7x8b2zkws)
- [Enterprise Account Executive](https://feeny.ai/job/enterprise-account-executive-elicit-oakland-esdxnq1dv6ag) — Oakland, CA
- [ML Research Resident](https://feeny.ai/job/ml-research-resident-elicit-oakland-fxt013nvwv6c) — Oakland, CA
- [AI Engineer](https://feeny.ai/job/ai-engineer-elicit-oakland-nxjht42w98aq) — Oakland, CA
- [General interest](https://feeny.ai/job/general-interest-elicit-oakland-wq080errqp66) — Oakland, CA
- [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-elicit-oakland-fxdq7zz9cexa) — Oakland, CA