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.
As a Startup Partnerships Solutions Architect on the Applied AI team at Anthropic, you will be the technical face of Claude to the founder and VC community. You will enable early-stage companies to build successfully with Claude, drive startup activations through strategic engagement with VC-backed startups, and represent Anthropic's technical vision at key ecosystem events. This role combines deep technical expertise with a builder-first mindset to accelerate adoption across the startup landscape.
Startup Ecosystem Enablement: Serve as the primary technical resource for the Startup Partnerships team, supporting founder-focused programs including Founder Days at HQ, VC portfolio presentations (Sequoia, General Catalyst, YC, etc.), and strategic startup workshops. Build technical credibility within the founder community by speaking their language and understanding their build patterns.
Technical Event Leadership: Lead workshops, deliver technical talks, and participate in fireside chats at high-profile startup events (e.g., Slush, YC Demo Days, accelerator programs). Represent Anthropic's technical vision to audiences of 100-13,000+ founders and builders, competing for mindshare against other frontier AI labs.
Portfolio Acceleration: Partner with VCs and startup programs to drive penetration and activation metrics across their portfolios. Develop scalable enablement content including pre-built decks, technical guides, and reference architectures tailored for early-stage companies moving fast with limited resources.
Founder Success & Deal Support: Act as a technical advisor to high-potential startups, helping them architect solutions, navigate product decisions, and accelerate from concept to $500+ in lifetime API spend. Unblock technical challenges that could prevent activation or expansion.
Product Feedback & Market Intelligence: Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns in the early-stage ecosystem, and deliver feedback to product and research teams to inform roadmap and go-to-market strategy.
Cross-Portfolio Expertise: Maintain deep knowledge across Anthropic's entire product portfolio, roadmap, and company vision to serve as a "generalist athlete" who can speak credibly about any Claude capability, from API features to Claude Code to emerging capabilities.
Builder credibility: 4+ years experience, including time as a technical founder, and software engineer. You speak the language of builders and understand the constraints of early-stage companies.
Outstanding communication and presentation skills: Proven ability to deliver compelling technical presentations to audiences ranging from 10 to 10,000+. Comfortable with fireside chats, panel discussions, workshops, and hands-on technical sessions. Can translate complex AI concepts into actionable insights for builders.
Startup ecosystem fluency: Deep understanding of VC dynamics, accelerator programs, portfolio strategies, and the unique needs of early-stage companies. Bonus points if you have an existing network in the founder or VC community.
Generalist mindset: Intellectual curiosity and ability to rapidly learn new product capabilities. You thrive on being the go-to technical expert across a broad portfolio rather than specializing in one area.
Startup GTM experience: Prior experience supporting startup ecosystems through developer relations, solutions architecture, technical partnerships, or similar roles. Understanding of how to drive activations and adoption metrics.
Passion for AI and Anthropic's mission: Genuine excitement about making safe, beneficial AI accessible to builders who are shaping the future. You believe in empowering the next generation of AI-native startups.
The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
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.
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.
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