Field Reporting Insights Manager

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

Anthropic's go-to-market organization is scaling fast, and the quality of our decisions increasingly depends on the quality of our reporting. We're looking for a Field Reporting and Insights Manager to build and own the reporting foundation that every GTM leader — from individual contributors to the CCO — relies on to run their business.

This is not a dashboard maintenance role. It's a role for someone who understands that a single, well-designed view of pipeline health can change how a sales leader runs their Monday morning, and who can build that view because they understand how that leader actually thinks. You'll own the design and delivery of certified, centralized reporting across pipeline, forecast, hiring, customer health, and rep productivity — and you'll do it for a business whose model doesn't map cleanly onto the traditional SaaS playbook.

Key responsibilities

Build the reporting foundation

• Design, build, and certify the core reporting suite that serves as the single source of truth for GTM performance — spanning pipeline, forecast, bookings, capacity, customer health, and rep productivity
• Architect reporting with a clear audience hierarchy, so the same underlying data powers the CCO's board prep, the RVP's weekly operating review, and each rep's self-service view of their own book
• Partner with Analytics Engineering and Data Infrastructure to ensure data lineage is clean, metric definitions are governed, and calculations reconcile cleanly across Salesforce, Looker, and BigQuery
• Establish and own the standard for "certified" reporting, so that when a number appears in an operating review, no one has to ask where it came from

Translate leadership needs into durable reporting

• Serve as a trusted analytical partner to GTM leadership; invest time understanding how leaders run their businesses, what decisions they make each week, and what they wish they could see but can't
• Convert loosely scoped asks into tightly scoped deliverables — and know when the right answer is a one-time analysis, a new dashboard panel, or a change to the weekly metrics pack
• Anticipate second-order usage: design reporting that holds up when it gets forwarded, screenshotted into a deck, or pulled into a conversation you weren't part of
• Drive adoption through enablement; a report no one uses is a failed report, regardless of how well it was built

Drive analytical innovation

• Design the visual language for new concepts — whether that's consumption ramp across a cohort or the shape of a PLG-to-enterprise conversion curve — and find the one view that makes it click for the audience
• Leverage Claude to surface signal from unstructured data (call transcripts, deal notes, customer feedback) and turn it into structured reporting inputs
• Develop original scoring and prioritization methodologies — account propensity, deal health, whitespace, risk — suited to a business where the standard MEDDIC-plus-firmographics playbook only gets you partway there
• Serve as the team's internal R&D function for analytical methods: run experiments, share what works, and raise the bar for what GTM reporting can do

Scale the function

• Build reporting infrastructure that scales ahead of the organization — what works for 30 sellers should still work for 300
• Manage competing stakeholder requests with sound judgment: know when to say yes, when to consolidate three asks into one better solution, and when to push back
• Document standards, build templates, and create the playbook so that reporting quality doesn't depend on any one person being in the loop

Minimum qualifications

• Advanced SQL and hands-on experience building in Looker and LookML (not just consuming dashboards)
• Fluency with Salesforce data models and comfort working in BigQuery or a comparable data warehouse
• Demonstrated ability to translate ambiguous executive asks into well-scoped, structured deliverables
• Strong data visualization sensibility, with an understanding that the best report is often the one with fewer things on it
• Experience building GTM or revenue reporting from the ground up in a high-growth environment

Preferred qualifications

• 8+ years in revenue operations, sales strategy, GTM analytics, or a similar function, with a track record of building reporting that leaders actually use to run their business
• Genuine fluency in how GTM organizations operate: the rhythm of a sales org, what a forecast call sounds like, and how an account executive decides what to prioritize each week
• Experience with consumption-based, usage-based, or PLG revenue models where the standard pipeline-to-bookings-to-revenue funnel needs to be rethought
• Background in management consulting, sales strategy, or FP&A with subsequent operating experience
• Experience standing up data governance or metric certification programs
• A track record of using AI tools to accelerate analytical workflows, and a perspective on where that's headed

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.

Logistics

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 Anthropic recruiters only contact you from @anthropic.com email addresses. In 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 you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

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