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Senior ML Product Manager

Elicit · Oakland, CA (or remote within US timezones) · Remote · Active · Ashby

Job facts

FieldValue
CompanyElicit
TitleSenior ML Product Manager
Normalized title-
Department / teamProduct / Product
LocationOakland, CA, United States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Elicit.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Oakland.Open
Department jobsActive postings in Product.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyElicit
Source2b7b20ee-17f3-4fd5-a6ee-5907fe6f218a
ATS providerAshby

Description

About Elicit Elicit is an AI research assistant that uses language models to help researchers figure out what’s true and make better decisions, starting with common research tasks like literature review. What we're aiming for: Elicit radically increases the amount of good reasoning in the world. For experts, Elicit pushes the frontier forward. For non-experts, Elicit makes good reasoning more affordable. People who don't have the tools, expertise, time, or mental energy to make well-reasoned decisions on their own can do so with Elicit. Elicit is a scalable ML system based on human-understandable task decompositions, with supervision of process, not outcomes . This expands our collective understanding of safe AGI architectures. Visit our Twitter to learn more about how Elicit is helping researchers and making progress on our mission. Why we're hiring for this role We have product-market fit, with several hundreds of thousands of monthly active users, a few million in ARR since launching our paid subscription last year, and significant inbound enterprise interest every day. This has been energizing for our team, but we want to take it to the next level. We dream of helping significantly more people with more types of thinking . That’s where you come in. Take the foundations we’ve established and build something with an even bigger impact. There is no other role like this. You’ll work in a space where every day brings leaps forward in the technological capabilities of the models. You’ll build entirely new, language-model-first paradigms. You’ll prioritize true, lasting impact and not short-term profits. Your day-to-day Lead machine-learning based projects from concept through launch. You’ll lead the team’s approach toward new functionality and improvements in Elicit by setting the product vision, generating and validating solutions, and evolving experiences to have the greatest possible impact. You’ll drive projects end-to-end, from prototype to implementation to later iteration. Solving Elicit’s toughest product challenges. You will rarely (if ever) start with a defined product project at Elicit. You’ll get to work across functions to push the progression of the product and shape how Elicit works. We need you to think through intuitive, focused product solutions to help our users get the most accurate and relevant information out of Elicit. Embodying the voice of our users. You’ll work with the team to develop a deep understanding of users’ behaviors, drive user research, and leverage that information into hypotheses and design experiments that guide us toward the best user outcomes. Ensuring the success of new Elicit features. You’ll work closely with the Head of Product, our CEO, and our team of engineers, ML engineers and designers to define the product strategy & roadmap, define success metrics for new features and improvements to Elicit, ensure high-quality implementation, and ship at a high velocity. The skills & experiences we’re looking for ML foundational competency: you have 2+ years working in ML and/or with LLMs. You are comfortable shipping some simple PRs and doing basic eval work yourself. Execution excellence. You take full ownership and get things done. You have a proven track record (6+ years) of launching new products that drive long-term customer love and business impact. You are comfortable across the full stack of product management - defining success, writing specs, talking to users, running analytics, prioritizing feature work, managing releases, etc. You have led a multi-functional team of engineers and designers and managed products across their full life cycle. Early-stage mindset. You thrive in the high-velocity, high ambiguity, "zero to one” early stages of product building. You're willing to do the unglamorous work early on, then systematize what works. You have hands-on experience at early-stage, fast-growing startups, working directly with design and engineering teams. Customer obsession. You're genuinely excited about working with researchers and have an instinct for uncovering their deepest needs and pain points. First-principles thinking. There are no experts on AI research assistants yet - you should be excited about pioneering this space: deeply understanding AI’s potential while uncovering what is holding research back. Humility & truth-seeking. Our mission is to scale up high-quality reasoning. We care a lot about rigorous thinking and communication, without ego and always seeking the truth. We want someone who is very iterative and highly-receptive to feedback; someone that knows their strengths and how to leverage them, and also their development areas. Experiences that are not required but are extra helpful: Building products for researchers or biomedical companies Experience building tools-for-thought, solving complex workflows, or scaling Enterprise/SaaS apps We are also open to more senior PM candidates (ie Principal, Group PM). We encourage everyone who is interested to apply, even if you're not sure you match the full description here. Compensation & Benefits In addition to working on important problems as part of a happy, productive, and positive team, we also offer great benefits (with some variation based on work location): Flexible work environment. You can work from our office in Oakland or remotely with time zone overlap with PST. Quarterly in-person retreats and coworking events. Fully covered health, dental, vision, and life insurance for you + generous coverage for the rest of your family. Flexible vacation policy with a minimum recommendation of 20 days per year. 401(k) 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 . 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): $190-250k + equity Expert (L5): $220-290k + equity We're optimizing for a hire who can contribute at an L4/senior-level or above. We'd love to meet staff/principal level contributors as well. We offer above-market equity for all roles at Elicit, as well as employee-friendly equity terms.

Full job record

Job ID35da635aaf8ade9e523c07dd296ae7b3bdf5eb11
Org ID4103102c-6ed9-4bc4-8cb7-e211294db0dc
Source ID2b7b20ee-17f3-4fd5-a6ee-5907fe6f218a
Board ID2b7b20ee-17f3-4fd5-a6ee-5907fe6f218a
Providerashby
Provider Job Key2c18fbc6-2e1a-4ba1-a1b2-73db54bc95ca
TitleSenior ML Product Manager
Normalized Title
Statusactive
Activeyes
Location TextOakland, CA (or remote within US timezones)
DepartmentProduct
TeamProduct
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionCA
CityOakland
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/elicit/2c18fbc6-2e1a-4ba1-a1b2-73db54bc95ca
Apply URLhttps://jobs.ashbyhq.com/elicit/2c18fbc6-2e1a-4ba1-a1b2-73db54bc95ca/application
First Seen At2026-05-29 05:29:45Z
Last Seen At2026-06-06 19:45:08Z
Last Checked At2026-06-06 19:45:08Z
Last Changed At2026-05-29 05:29:45Z
Inactive At
Source Posted At
Source Updated At
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Event Fields
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Parsed Structured
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Extensions
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Native Structured
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