Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 5
Hiring @ 3
Leadership @ 3
People Management @ 3
Communication @ 3
API @ 3
Technical Leadership @ 3
LLM @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic is building reliable, interpretable, and steerable AI systems. The Manager of Startups Applied AI Architects will lead a team of technical architects focused on helping startups build AI-native products with the Claude Developer Platform. The role combines technical leadership, hands-on pre-sales engagement, and people management to drive Claude API adoption across early-stage customers and to translate startup signals into product and engineering priorities.
Responsibilities
- Lead, develop, and grow a team of Startups Applied AI Architects, setting a high bar for technical credibility, customer impact, and startup-paced execution.
- Drive team performance with clear goals, coaching, and a culture of continuous technical development.
- Personally lead pre-sales engagements with high-priority startup accounts from initial technical discovery through deployment and expansion.
- Create and own technical playbooks: running technical evaluations, building customer-specific evaluation frameworks, and architecting LLM solutions for resource-constrained early-stage teams.
- Partner with Account Executives and GTM leadership to shape segment strategy and drive Claude API adoption across the startup ecosystem.
- Surface insights on how startups are building with Claude (use cases, deployment patterns, architectural decisions) and translate those into actionable feedback for Product and Engineering.
- Influence cross-functional partners in Sales, Product, and Engineering to advance startup customer needs and roadmap priorities.
- Build Anthropic's technical presence in the startup ecosystem through events, conferences, workshops, and content.
- Stay current with the AI engineering landscape: context engineering, evaluation frameworks, agentic architectures, and developer tooling.
Requirements
- 8+ years of experience in technical customer-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, or similar), with 5+ years leading and managing pre-sales or technical go-to-market teams.
- Proven track record of building and developing high-performing solutions architecture / applied AI teams, including hiring and coaching.
- Deep experience working with startups or high-growth technology companies and understanding technical decision-making across stages.
- Hands-on experience building and deploying LLM-powered applications; builder credibility to earn trust of technical buyers.
- Hands-on expertise with context engineering, LLM evaluation frameworks, and modern AI architectures; ability to guide teams and customers from prototype to production.
- Comfortable with Python and fluent in LLM frameworks, tools, and integration patterns common in startup engineering stacks.
- Comfortable working in ambiguous, fast-moving environments; able to define playbooks and adapt as the segment evolves.
- Genuine commitment to building AI that is safe and societally beneficial.
Strong candidates may have
- Experience as a technical founder or in a founder-led sales motion.
- Successful track record winning competitive technical evaluations against other LLM providers.
- Experience building foundational team infrastructure: hiring frameworks, onboarding programs, technical playbooks, and coaching systems.
- Deep familiarity with how developer infrastructure procurement evolves from seed through Series B.
- A visible technical presence in the startup or AI engineering community (talks, written content, open-source contributions).
Compensation
- Annual Salary: $315,000 - $380,000 USD
Logistics
- Minimum education: Bachelor's degree or equivalent combination of education, training, and/or experience.
- Location-based hybrid policy: staff expected to be in one of Anthropic's offices at least 25% of the time.
- Minimum years of experience: will correlate with internal job level requirements for the position.
- Anthropic states they sponsor visas and retain an immigration lawyer to assist when they extend an offer.
About Anthropic & Benefits
Anthropic is a public benefit corporation headquartered in San Francisco. They offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a collaborative office environment. The company emphasizes working on a few large-scale research efforts and values communication and cross-functional collaboration.