Product Manager, Public Sector

1 нед. назад

USARemote

Managing AI product integration in public sector workflows to improve government services.

Обязанности

Governments do some of the most consequential work there is: deciding benefits claims, getting veterans to care, investigating financial misconduct, running unemployment insurance, and producing the analysis that world leaders act on. 's public sector team exists to put Claude in the production path of that work. In the US and some allied governments, Claude is already in daily use across major agencies and US states.
The next steps need a particular kind of product manager: someone who can walk into an institution they have never worked with, sit with the people doing the work and find, alongside them, the workflow that matters. The best government products we know of started as an idea that came out of the room rather than a requirements document. 
The scope is large: a product portfolio here is a set of governments rather than a feature area. A year in, success looks like agencies delivering services more effectively because public servants are doing core parts of their job with Claude in the loop, and at least one thing that you learn from them shipping to every enterprise. That is a lot of surface; you will have to choose where to go deep, and we will back the choice.
We are hiring across civilian, state and local, govtech, and national security portfolios and will match you to one on background and interest. Some portfolios require eligibility for a US security clearance, though most do not. You would be among the first product managers on the team, working with a dedicated engineering and research team and with the policy, go-to-market, customer success, and applied AI leads who already spend their days inside these agencies.
Alongside GTM, run discovery inside government institutions to find where Claude belongs in the production path of their work, then shape the product around what you find
Own product decisions for our government models and product offerings and the agency workflows built on top of them
Spot the government needs worth generalizing and carry them into 's broader roadmap. Many of ’s commercial features started as public-sector customer problems
Help navigate government compliance regimes 
Partner with our cloud and integration partners

Другое

’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Have shipped successful products end-to-end. We weigh product judgment above any domain credential
Can point to something you built that was your idea: it came from watching people work rather than from a requirements document
Get things done through teams that don't report to you. In addition to the dedicated team, this role runs through a variety of partner teams inside and many offices inside each agency.
Move on your own clock. You have shipped in an organization with a fast cadence, or you set the pace in an environment that didn't
Have built domain intuition fast in large enterprises that do not resemble each other
Are a US person. We have agreements with the US Government that mandate this for these roles.
Roughly 7+ years building and shipping products, or equivalent scope
Real intuition for how government operates, earned either from the inside or at a digital services organization or by building products public servants actually use
Taken a public-sector or field requirement into a commercial product that succeeded
Fluency with AI products: evaluations, model behavior as part of the product surface
Shipped inside a FedRAMP, classified, or comparable compliance boundary
Negotiated with or steered large partners such as cloud providers or systems integrators
An active TS/SCI security clearance with the US government (relevant for only some roles)
Ability to travel up to 25% of the time 
The annual compensation range for this role is listed below. 
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that recruiters only contact you
We believe that the highest-impact AI research will be big science. At we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to , including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.