[Hiring] Senior Software Engineer, Data and Integrations @Elicit

Role Description

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:

• Improve the distributed systems that build and update our search corpus.
• Make adding a new source repeatable.
• Turn publisher and enterprise requirements into secure, dependable product features.
• Work on a full-stack role, including our Next.js and React frontend, TypeScript and Python services, and APIs.

What you'll do:

• Own Elicit's scholarly search and data platform: its coverage, freshness, quality, reliability, and cost.
• Turn customer and business needs into a technical plan, working closely with product, sales, and partners.
• Bring new kinds of evidence into Elicit and make them useful to LLM-based features.
• Build secure, rights-aware integrations for enterprise customers and content partners.
• Take features from a loose brief to production across frontend, backend, and data.
• Ship in small slices with staged rollouts, monitoring, and rollback capabilities.
• Operate what you build, watch how people use it, and manage complexity.
• Work on product features beyond integrations alongside the rest of engineering.
• Use coding agents daily, review their output, and stay hands-on where stakes are high.

Qualifications

• 5+ years of software engineering, including production systems you owned and architecture decisions you made yourself.
• Strong Python; working knowledge of TypeScript; React is a plus.
• Experience designing, debugging, and tuning distributed data pipelines; Spark is especially useful.
• Solid SQL, with a practical feel for partitioning, joins, columnar formats, and data layout.
• 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.
• User-facing features you've shipped end to end.
• Product judgment connecting infrastructure work to what researchers can do.
• At least a year at an early or growth-stage company.
• Clear communication with engineers and non-engineers alike.
• Pragmatic use of coding agents.

Benefits

• Flexible work environment: work from our office in Oakland or remotely with time zone overlap.
• Fully covered health, dental, vision, and life insurance for you, with generous coverage for your family.
• Flexible vacation policy, with a minimum recommendation of 20 days/year and plenty of company holidays.
• $200 monthly wellbeing stipend.
• 401K with a 6% employer match.
• A new Mac + $1,000 budget to set up your workstation or home office in your first year.
• $1,000 quarterly AI Experimentation & Learning budget.
• A team administrative assistant for personal and work tasks.

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).