GTM Strategy & Operations, Frontier

Anthropics 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.

The GTM Strategy & Operations Frontier team coordinates how Anthropics research reaches the market: how we run model launches commercially how we partner with Capacity teams to allocate a finite compute supply across customers and surfaces and how we translate what the field learns into reads that Research Product Finance and GTM leadership act on.

One tangible example of the work this role will contribute to is launch operations: the end-to-end commercial run of a model release from preparing the customer cohort and the field through to the adoption readout that shapes where we go from here. We are hiring for someone who can run a high-stakes cross-functional program where the bar for execution is sky high author the strategic analysis and readouts executive leadership needs and create and optimize repeatable methodologies.

This role reports to the Head of GTM Strategy & Operations Frontier and sits at the interface between GTM Applied AI Product Research Security & Safeguards Finance and Compute.

• Serve as GTM DRI for product and model launches: own account selection for pre-launch coordinate field readiness across scaled pre- and post-sales teams and run the launch-week operating room with extreme ownership.

• Synthesize customer adoption signal (usage patterns migration behavior qualitative feedback from the field) into actionable reads for executive leadership across the company

• Design and run the field-response loop: how AE and customer response and feedback gets captured triaged and routed to the teams who can act on it

• Design and iterate GTMs model-launch methodology across both standard releases and managed-access programs including operating cadence roles and handoffs with field teams and the bar for launch readiness

• Carry the executive reporting cadence for launches: what leadership teams see how often and how we make adoption trends legible early as well as retrospectively in an continual sprint environment

• Act as GTMs primary interface to Product S&O and Research on launch planning ensuring commercial readiness is sequenced with product / model readiness

• Work with Sales Strategy & Operations partners Applied AI and Customer Success on field execution ensuring the launch motion lands consistently across segments and regions

• Partner with Capacity teams on rate limits provisioning and capacity planning for account cohorts assessing capacity-efficiency opportunity and executing against it with customer value at the core

• Collaborate on protect-play targeting sequencing and post-launch competitive response when external launches and ours overlap

• Experience in product operations PMM operations release management management consulting or GTM strategy & operations

• Built and run high-stakes operations-heavy programs with many cross-functional dependencies at a high-velocity product company with a track record of turning effective heroics into a repeatable scaled methodology

• Ability to quickly weigh select and execute the balance between business safety and repeatability considerations

• Written for and presented to senior executives; you can produce the readout leadership reads and hold the room with Product Research and Finance counterparts

• Exceptional analytical skills rooted in data but never without corresponding actionable insights. You can design the metrics and reporting that make a program legible distinguish signal from noise in a messy week-one read and work with analytics engineering teams to evolve data design to be fit for purpose

• A bias toward extreme ownership - you see the gap you fill it and you hold the outcome regardless of where the org lines fall

• Bachelors degree required

• Strong analytical foundation: SQL and code-level data proficiency sophisticated modeling in Sheets or Excel and experience with BI tools (Looker BigQuery or similar)

• Experience at an AI developer-tools or API-first company with consumption-based pricing (ideally as well as B2B SaaS)

• Strong familiarity with if not direct experience in commercial roles (sales rev ops product marketing) or product management in addition to operations

• Familiarity with safety trust & safety or security-review processes in a product context

• Demonstrated success operating in ambiguity at a company where the product and the operating model are both changing fast

Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 Anthropic recruiters only contact you some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

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. Were 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.

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. Guidance on Candidates AI Usage:Learn aboutour policy for using AI in our application process.