Head of GTM Programs EMEA

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 GTM Programs team turns our most strategic go-to-market priorities into structured, measurable programs. The team is a core strategic business partner to the GTM organization, driving growth and operational excellence and accelerating the safe adoption of frontier AI across the world's leading enterprises. As Head of GTM Programs, EMEA, you will bring that function to Europe, the Middle East and Africa (EMEA), partnering directly with executive sales leaders, frontline managers, and sellers to understand their needs, then design, launch, and measure the programs that meet them.

This is a high-visibility leadership role that combines quantitative rigor with hands-on program execution. You'll work across a diverse group of cross-functional partners, including sales, marketing, enablement, and strategy, to build a connected system of programs that drives measurable pipeline and revenue impact across the region, then adapt those programs as the business evolves. EMEA spans many countries, languages, and buying cultures, so you will also decide what runs once for the region, what is localized, and what is left to country teams.

GTM Programs is a new function, and this is an opportunity to build it, not just join it. Every organization is deciding its AI strategy right now, and the programs this team builds shape how our field meets that moment. You'll help define what a well-run program looks like at Anthropic, with high autonomy.

Key Responsibilities

• Serve as a trusted advisor to EMEA Sales Leadership: bring data-backed insight and recommendations into their operating reviews, including program and resourcing decisions, and shape the strategic initiatives that come out of them.
• Analyze the health of the EMEA pipeline across volume, conversion, velocity, and efficiency, identify breakdowns in the funnel such as lead quality, routing, or segmentation, and partner with Revenue Operations to implement solutions.
• Shape a consolidated demand generation plan and calendar across EMEA's inbound, outbound, and partner channels, aligning to regional and global sales priorities to meet pipeline generation targets.
• Own GTM programs end to end in close partnership with the field: translate leadership priorities into structured programs with clear objectives, owners, and milestones, and carry them from concept through launch, operations, and iteration, with measured uplift as the outcome you're accountable for.
• Partner closely with Marketing, Enablement, and Sales Strategy to standardize playbooks and build a unified, end-to-end approach to pipeline generation and progression rather than disconnected initiatives.
• Decide what to run once for EMEA, what to localize by sub-region or language, and what to leave to country teams, including outreach and data-protection rules that differ by market.
• Introduce AI-driven insights into lead prioritization, forecasting, and opportunity management, partnering with analytics teams to surface predictive signals such as conversion likelihood and deal risk.
• Define the measurement plan before a program launches: baseline, targets, uplift metrics, and how results will be attributed to the program.
• Instrument every program into the GTM operating cadence, so leadership can inspect results in the same reviews where they run the business.
• Package what's working (industry patterns, use cases, activation motions) into repeatable plays that sellers can run without you in the room, and lead program adoption and communication as the sales organization scales.
• Build and lead the EMEA GTM Programs team, developing people across countries and time zones.

Minimum Qualifications

• 10+ year experience in sales programs, sales operations, business development, sales readiness, or marketing within a technology or SaaS environment.
• Experience designing and running sales or GTM programs end to end, with the ability to speak to the uplift they produced, not only the activities they ran.
• Experience designing and leading demand generation campaigns or programs in direct partnership with field sales organizations, ideally across multiple countries.
• Demonstrated analytical and quantitative approach to measuring, reporting on, and optimizing program performance, including familiarity with CRM and pipeline reporting tools (e.g., Salesforce).
• Experience leading and developing a team, including across countries and time zones.
• Strong written and verbal communication skills, with experience presenting to and influencing senior leadership.
• Working knowledge of how data-protection and marketing-consent rules (GDPR, ePrivacy, and national variations) shape outbound and demand generation in Europe.
• Track record of driving cross-functional initiatives to completion across teams without formal authority over them.
• Comfort working in fast-moving, ambiguous environments and building where no process exists yet.
• Excitement about Anthropic's mission to develop AI that is safe and beneficial.

Preferred Qualifications

• Experience combining sales programs with marketing or sales readiness/enablement functions.
• Experience designing measurement or attribution frameworks for GTM motions, such as pipeline sourced and influenced models, activation funnels, or experiment designs like control groups and staged rollouts.
• Experience working inside or alongside a sales organization's operating cadence (forecast calls, pipeline reviews, account reviews) and making program results legible within it.
• Track record of building and scaling operational frameworks in a fast-paced, matrixed organization.
• Experience introducing AI or advanced analytics into sales or revenue workflows, such as lead scoring, forecasting, or predictive deal signals.
• Hands-on experience creating AI workflows with Claude or similar tools, and comfort running and improving them at operational volume.
• Experience leading programs through periods of GTM or organizational change.
• Experience in a high-growth AI, ML, or other emerging technology company, and an understanding of how enterprises evaluate, adopt, and scale AI.
• Experience as an early hire in a new function or team, helping define how it operates.
• Experience with partner and marketplace-led motions.
• Fluency in one or more European languages.

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.

Annual Salary:

£195,000—£225,000 GBP

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.