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 is seeking a Certification Development Lead to build and scale a best-in-class certification program for our partner ecosystem. We’ve launched our first certification, the Claude Certified Architect, Foundations (CCA-F), and now we need someone to turn that first credential into a comprehensive, multi-tiered program that our systems integrator, consulting, and technology partners rely on to demonstrate real competence with Claude.
This is a 0-to-1 build. You’ll define the certification strategy, design the credential architecture, and build the program infrastructure from the ground up, all with our partner audience at the center. You’ll work at the intersection of program design and subject matter expertise: identifying what partners need to know, structuring the path to get them there, and collaborating with internal SMEs to ensure the content reflects how Claude actually works and where it’s headed. The systems and tooling that deliver certifications are being built by a separate team; your focus is the program itself, the credentialing framework, the partner experience, and the cross-functional relationships that keep it all connected.
The broader program strategy, including audience planning, partner relationships, and go-to-market alignment, lives within the Partner Enablement team. You’ll sit at the center of that work, collaborating closely with Partnerships, Applied AI, and GTM Productivity to ensure certifications serve both the partners earning them and the Anthropic teams relying on certified partners to extend our reach.
Responsibilities
- Own the end-to-end certification program: define the vision, build the credentialing framework, and establish the multi-tiered certification path that scales with Anthropic’s partner ecosystem
- Design certification architectures, competency frameworks, and assessment methodologies that measure real applied skill, not just content exposure
- Build with the partner audience in mind: understand the needs, workflows, and incentives of SI, consulting, and technology partners, and design credentialing experiences that meet them where they are
- Collaborate with internal subject matter experts across Applied AI, Product, and Engineering to translate Claude’s evolving capabilities into rigorous, current certification content
- Partner with trainers and to ensure alignment between training delivery and credentialing requirements, so the learning journey and credential path reinforce each other
- Work cross-functionally with Partnerships, GTM Productivity, and Revenue Operations to connect certification outcomes to partner performance, pipeline attribution, and ecosystem health metrics
- Define and manage relationships with credentialing vendors and collaborate with the systems owner on platform and delivery infrastructure decisions
- Establish quality standards for assessments including validity, reliability, and fairness, and use assessment data to continuously improve the program
- Build the operational processes around certification lifecycle management: development, launch, renewal, versioning, and retirement of credentials as Claude’s capabilities evolve
You May Be a Good Fit If You Have
- 7+ years in certification program design, credentialing, developer education, or partner enablement, with demonstrated experience building programs from scratch, not just maintaining existing ones
- A track record of 0-to-1 builds: you’ve stood up a certification or credentialing program where one didn’t exist before, defined the strategy, earned stakeholder buy-in, and shipped it
- Deep understanding of partner ecosystems, particularly SI and consulting partner audiences, and the ability to design certification experiences that drive real adoption and competency within those organizations
- Strong educational design instincts: you think in terms of competency frameworks, learning progressions, and what it actually means to demonstrate mastery versus having been exposed to content
- Experience with assessment methodologies beyond multiple-choice, including performance-based assessment, portfolio evaluation, or scenario-based testing that measures applied skill
- Baseline fluency with AI and technology products, with the ability and curiosity to learn Claude’s product suite deeply enough to articulate the “why” behind each certification tier and competency requirement
- Clear, structured communication and the ability to work with non-education stakeholders (partnerships, sales, engineering) while maintaining rigorous program standards
- Comfort operating in ambiguous, fast-moving environments, making decisions with incomplete information, and iterating quickly based on partner and internal feedback
Strong Candidates May Also Have
- Experience managing relationships with credentialing vendors (Pearson, Credly, or similar) and navigating the operational complexity of third-party certification delivery
- Familiarity with certification program economics: pricing, packaging, and the business model decisions that make a program sustainable
- Background in technical credentialing specifically, such as cloud certifications (AWS, GCP, Azure) or developer platform credentials
- Knowledge of psychometrics, credential validation, or assessment quality frameworks
- Experience benchmarking and learning from best-in-class programs from peer organizations
- Prior work at a high-growth technology company navigating rapid product change
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 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.
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
Skills Required
- 5+ years in education, assessment design, credentialing, or developer education
- Experience building AI-augmented assessment systems
- Technical fluency with Claude's products including the API, Claude Code, and Claude.ai
- Experience with assessment methodologies beyond multiple-choice
- Strong educational design instincts
Anthropic Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Anthropic and has not been reviewed or approved by Anthropic.
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Strong & Reliable Incentives — Pay is positioned as top-of-market for many technical roles through a mix of high base pay, equity, and occasional bonuses/signing incentives. Benefits like substantial monthly stipends and employer-paid protections further strengthen perceived total rewards.
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Healthcare Strength — Healthcare is described as comprehensive across medical, dental, and vision, with additional mental-health support. Coverage is framed as robust for employees and dependents, which can materially increase the value of the overall package.
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Parental & Family Support — Paid parental leave is described as notably generous, alongside fertility coverage and other family-oriented supports. These elements broaden the rewards package beyond cash compensation and can improve retention for caregivers.
Anthropic Insights
What We Do
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
