Manager of the Partnerships Applied AI Solutions Architect

As the Manager of the Partnerships Applied AI Solutions Architect team, you will drive adoption of frontier AI by enabling deployment of Anthropic’s products (Claude for Enterprise, Claude Code, API) through our Global and Regional System Integrators, cloud partners (AWS, GCP, Azure), and strategic technology partners.

You will build and lead a team of Partner Solutions Architects, establish processes and best practices for partner-led pre-sales engagements, and represent Anthropic as the technical lead on its most important partnerships. In collaboration with Sales, Partnerships, Product, and Engineering, you will help partners incorporate leading-edge AI into their practices, accelerate indirect revenue, and execute long-term GTM strategy while maintaining our best-in-class safety standards.

Responsibilities

• Team Leadership & Development: Hire, manage, and mentor a team of Partner Solutions Architects. Set goals, run reviews, and coach each team member toward high productivity and career growth.
• Strategic Technical Partnership: Act as the senior technical thought partner to Anthropic’s GTM partnerships team. Co-build partner strategy with aligned GTM leadership, drive key programs, and align cross-functional stakeholders (Sales, Product, Engineering) behind partner outcomes.
• Partner Enablement & Ecosystem: Embed your team with GSI and cloud partner technical teams to enable their AI practices, troubleshoot, and evangelize Anthropic in their developer communities. Represent Anthropic at partner events (GSI workshops, AWS/GCP summits, hackathons) and contribute technical content and thought leadership.
• Joint Solution Development: Lead partners in identifying high-value, industry-specific GenAI applications. Develop joint solutions and codify reference architectures and best practices to accelerate time to deployment.
• Customer Deal Support: Own the technical portion of partner-led pre-sales engagements. Intervene directly on strategic deals where partners are the primary delivery vehicle, providing deep solution architecture guidance.
• Product Feedback: Gather and validate feedback on Anthropic’s products from partner deployments and deliver it to Product and Engineering to inform roadmap and partner strategy.

• 7+ years in technical customer-facing or partner-facing roles (Solutions Architect, Sales Engineer, Partner SE, TAM).
• 3+ years managing pre-sales or partner-facing technical teams; comfortable building foundational teams in ambiguous, fast-moving environments.
• Track record building and scaling partnerships with GSIs (e.g., Accenture, Deloitte, TCS, Infosys) and/or cloud providers (AWS, GCP, Azure).
• Deep understanding of partner-led selling and delivery: indirect revenue models, enablement at scale, and joint GTM motions.
• Technical depth in enterprise AI deployments: LLM architecture, prompt engineering, evaluation, API integrations, and production use cases.
• Exceptional communication and executive presence; able to build trusted relationships with C-suite, partner leadership, and engineering teams alike.
• A love of teaching and mentoring, and a passion for advancing safe, beneficial AI., 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., Alliance/Partner Management, Alliance/Partner Marketing, Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Banking Services, Best Practices, Biology, Channel Strategies, Cloud Computing, Coaching, Communication Skills, Computer Science, Concrete, Cross-Functional, Customer Relations, Ecosystems, GCP (Good Clinical Practices), Identify Issues, Industry-Specific Software, Leadership, Mentoring, Microsoft Windows Azure, Partner Sales, Physics, Pre-Sales, Process Development, Product Engineering, Recruiting/Staffing Agency, Safety Standards, Sales, Sales Management, Sales/Support Engineering (SE), Set Goals, Solution Sales, System Integration (SI), Team Lead/Manager, Team Player, Technical Leadership, Technical Strategy, Technical Writing, Thought Leadership, Training/Teaching, Use Cases

Strong candidates may also have

• 5+ years leading partner-facing SA teams through hypergrowth, including developing both senior and junior talent.
• Direct experience helping GSIs or consultancies build their AI/ML practice - enablement programs, certification paths, joint solution development.

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:

$315,000-$380,000 USD

Logistics

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., 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