Applied AI, Startups

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 member of the Applied AI, Startups team at Anthropic, you will be a technical Product Engineer focused on becoming a trusted technical advisor helping the startup community understand the value of Claude and architect how they can successfully integrate and deploy LLMs into their technology stack and product. You'll combine deep engineering expertise with customer-facing skills to help startups understand the potential of working with LLMs and build innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment. You'll leverage your engineering expertise to help customers understand Claude's capabilities, develop evaluation frameworks, and design scalable architectures that maximize the value of our AI systems.

• Partner with account executives to deeply understand startup requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation 
• Serve as the primary technical advisor to startup customers throughout their Claude adoption journey, from discovery through deployment, coordinating internally across multiple teams to drive customer success 
• Design and develop proof-of-concept applications and prototypes that demonstrate Claude integration patterns specific to startup use cases 
• Create and deliver technical content tailored for startup audiences through scaled events including hackathons, webinars, and community workshops 
• Build compelling demos that showcase practical integration strategies for the startup ecosystem 
• Guide technical architecture decisions and help startups build state-of-the-art systems with LLMs
• Help startups develop lightweight evaluation frameworks and testing suites to measure Claude's performance for their specific use cases 
• Lead hands-on technical workshops and code reviews with startup engineering teams 
• Identify common integration patterns within the startup ecosystem and contribute insights back to our Product and Engineering teams 
• Foster community engagement through technical office hours, developer forums, and startup-focused events 
• Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and startup technology stacks

• 2+ years of experience in technical customer-facing roles such as Customer Engineer, Forward Deployed Engineer, Sales Engineer, or Platform Engineer
• Experience working with startup customers, understanding their unique challenges, rapid development cycles, and resource constraints 
• Strong programming skills with proficiency in Python and experience building production applications
• Recent hands-on experience building production systems with large language models and ML frameworks
• Expertise working with common LLM implementation patterns, prompt engineering,evaluation frameworks, agent frameworks, and retrieval frameworks. 
• Proven ability to develop technical prototypes and demos that showcase practical applications for startup use cases 
• Experience facilitating technical workshops, hackathons, or developer-focused events
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders in startup environments, from technical founders to engineering teams 
• Strong technical communication skills with the ability to create scalable content (documentation, tutorials, sample code) that reaches a broad audience of startups 
• A passion for the startup ecosystem and understanding of the unique technical and business challenges faced by early-stage companies 
• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities in a high-velocity environment 
• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

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