Strategic Product Management
About Anthropic
Anthropic’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.
About the role:
As a member of our Strategic Product Management (SPM) team at Anthropic, you’ll own and lead strategic initiatives that have a direct impact on the development and commercialization of our products. You will collaborate closely with other product teams, as well as engineering, go-to-market, and other functions to help solve our most complex and ambiguous business challenges. You’ll be directly responsible for impact across a range of critical product efforts, bringing creative, data-driven, and market-informed value from concept to execution.
This role is a great fit for someone who’s both seen excellence at scale and operated in rapidly scaling, high-ambiguity teams and scope. You can seamlessly pivot back and forth from high-level strategy to the nitty-gritty blocking and tackling of building. You’re able to effectively lead cross-functional efforts that are urgent and important to the company’s product success.
Responsibilities:
- Flex into and own a wide range of initiatives across product areas and domains, doing whatever it takes to maximize and accelerate our our product and commercial success
- Work closely with other product and engineering teams to focus relentlessly on delivering value and impact, orienting our efforts toward creating remarkable products and experiences for our users that advance Anthropic's mission
- Deeply understand our customers and competition and translate that expertise into actionable strategies and solutions across our product and go-to-market efforts
- Help drive commercial success through creative product and strategic insights and effective cross-functional collaboration
- Tackle ambiguous but critical strategic questions with structured reasoning, rigorous attention to detail, sound judgment, and clear delivery of actionable insights
- Gather and synthesize quantitative and qualitative data into clear, actionable recommendations that inform priorities and decision-making
- Set up, own, and build for scale new systems and processes for new launches, new teams, and the company more broadly as we grow
You might be a good fit if you have:
- 5+ years of experience in product management, product strategy and operations, or related roles in high-performing product companies; experience in consulting, banking, or investing prior to operational experience is a plus as well.
- Proven ability to independently navigate and execute effectively amidst ambiguity
- User-focused mindset, intellectual curiosity, and an unwavering commitment to Anthropic's mission of developing safe and beneficial AI
- Strong analytical skills, and a data-driven, commercially minded approach to developing product strategies and solving problems
- Strong project management and organizational skills to lead complex initiatives
- Experience using data to conduct market research, competitive analysis, and synthesize product insights. Proficiency in SQL is a plus
- The ability to convey complicated, technical, ambiguous topics in simple, jargon-less, persuasive, structured terms for customers, teammates, cross-functional stakeholders, and leadership
- A deep proven and thoughtful interest in AI systems – direct AI/ML experience is highly valued, but not required
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
Logistics
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.
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.
Come work with us!
Anthropic 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.