Reseller Enablement Lead

18 ч. назад

United KingdomEuropeLead

Lead the design and implementation of global reseller certification, training, and readiness programs for 's reseller ecosystem.

О компании

Within GTM, the Partner Enablement team builds the programs, credentials, and learning infrastructure that allow 's ecosystem of system integrators, cloud providers, resellers, and technology partners to build deep Claude expertise and deliver successful customer outcomes at scale. We work cross-functionally across Partnerships, Sales, Applied AI, Product, Marketing, and Legal to make sure partner-facing programs are clear, consistent, and high-impact.

Обязанности

is launching a global reseller program, and we are looking for a Reseller Enablement Lead to build the enablement motion that makes it work. You will design and launch reseller certification, training, and readiness programs alongside the program itself, starting in our first launch markets and scaling globally from there.
This is a build-and-run role. In the first months you will stand up the foundation from scratch: what a reseller needs to know to sell Claude well, how we certify that they know it, and how we deliver that across markets and languages. From there, you will own the motion as it grows, evolving content and modalities as the program's commercial structure matures, localizing for new regions, and using enablement to keep partner behavior aligned with how we want Claude sold.
You will be the single global owner for reseller enablement, scaling delivery through training networks rather than a large direct team. This is a highly cross-functional role working closely with Partnerships, Partner Programs, Partner Operations, Sales, Applied AI, and Certification to ensure reseller-facing programs land clearly and drive measurable outcomes.
Define and own 's reseller enablement strategy, from launch in initial markets through global rollout
Own delivery of the message you build: present and deliver training directly to reseller sellers and leaders, and activate training partners so they carry it consistently at scale
Build the reseller curriculum and certification path from the ground up, covering commercial mechanics, program rules, platform and product fundamentals, and responsible use
Design repeatable programs across partner onboarding, sales readiness, recertification, and product launches, choosing modalities that fit how reseller sellers actually learn and what motivates them
Stand up localized delivery in launch markets, then extend the model to new regions through training networks and regional enablement teams
Work closely with Applied AI to translate technical concepts into clear, digestible content on 's models and products for a seller audience
Evolve enablement as the program evolves, keeping content current with changes to commercial structure, transaction rails, and program requirements
Use enablement as a governance lever, building content and reinforcement that keeps partner selling behavior on program and addresses drift when it appears
Enable sellers and partner managers to co-sell and engage effectively with resellers
Partner cross-functionally with Partner Programs, Partner Operations, and Sales to align priorities and ensure consistent execution
Establish metrics and reporting to track reseller certification, activation, and contribution to registered pipeline and consumption
Build feedback loops that bring reseller insights back into program design, enablement, and GTM strategy

Другое

’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.
Have 7-10+ years of experience across partner enablement, partner programs, product marketing, with a clear track record of designing and owning programs end to end. Channel and Alliances experience is key, but must be accompanied with demonstrated program ownership.
Understand how resell and channel ecosystems work commercially, including deal registration, margin and rebate structures, partner tiering, and cloud marketplace motions
Have built and scaled partner enablement or certification programs from nothing to something in a high-growth technology environment
Think operationally and in systems, designing for scale across regions and languages rather than one-off efforts
Understand how to package enablement: which modality fits which audience, what motivates partner sellers, and how to structure a curriculum that produces real selling capability
Are a strong presenter and facilitator, able to deliver training credibly to partner audiences and equip others to deliver it the same way
Combine leadership and hands-on execution, equally comfortable setting strategy with executives and building the first version of a course yourself
Bring executive presence with partner and internal leadership, and the scrappiness to get things done in an ambiguous, fast-moving environment
Are an effective cross-functional operator who can drive alignment across complex organizations
Experience launching programs in a single region and then scaling them globally, including localization and in-market delivery
Experience building or running an authorized training partner or certified instructor network
Prior ownership of, or close partnership with, a technology certification program
Experience with resell motions in Japan, Korea, or other reseller-led markets
A track record connecting enablement activity to pipeline and revenue outcomes
This role is based in London. We operate a hybrid model and expect regular time onsite with partners and at offices. Expect roughly 30-35% travel, concentrated around launch windows and launch regions.
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.
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 recruiters only contact you
We believe that the highest-impact AI research will be big science. At 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 , including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
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.