Product Manager, Generalist
Product Management
hybrid: San Francisco, CA
Salary range $300,000 - $520,000
added Sun Jun 25, 2023
Apply to AnthropicPutting our models out in the real world - if done carefully - could help advance AI safety. We could collect feedback on human preferences, test how aligned our models are in practice, and be a shining example of responsible deployment of AI to the rest of the AI ecosystem.
You will be one of our first product managers for deployment, working with engineers on rapid prototyping to set product strategy and meet the needs of our partners. Our deployment efforts have to actively contribute to AI safety; we’re looking for someone who would be happy to put their tools down in case we find that it doesn’t.
Representative projects
- Rapidly prototype different products and services to learn how generative models can help solve real problems for users.
- Work closely with our alignment team to define how to make our models more aligned, and with ML researchers to guide what capabilities are needed to serve users.
- Work closely with outside deployment partners to understand end-user needs and integrate their perspective into the development of the product.
- Everything else it takes to get a new product off the ground.
You might be a good fit if you
- Enjoy tackling unusual and engaging product challenges, including exploring a potentially broad application space with safety as a primary goal.
- Love to think creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems.
- Have technical capabilities to be able to have meaningful conversations with our partner developers.
- Have software engineering experience.
- Enjoy empirical, data-driven approaches to deployment.
- Have experience gathering feedback, input and data from users and running beta tests.
- Are willing and excited to play many deployment-related positions, including those we haven’t scoped yet.
- Have successfully launched products before, finding ‘product-market fit’ or executing an ‘effective intervention’.
- Enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities.
Annual Salary (USD)
- The expected salary range for this position is $300k - $520k.
Role-specific policy: For this role, we prefer candidates who are able to be in our office more than 75% of the time, though we encourage you to apply even if you don’t think you will be able to do that.
Compensation and Benefits*
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.
Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.
Benefits - Benefits we offer include:
- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
- Comprehensive health, dental, and vision insurance for you and all your dependents.
- 401(k) plan with 4% matching.
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Stipends for education, home office improvements, commuting, and wellness.
- Fertility benefits via Carrot.
- Daily lunches and snacks in our office.
- Relocation support for those moving to the Bay Area.
* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.
Logistics
Company-wide hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time. However, different roles may have different requirements - if this role has a different preference, it will be noted above.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
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.
Come work with us! Anthropic is a public benefit corporation based 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.
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic 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 Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.