Startups Solutions Architect, Applied AI job opportunity at Anthropic PBC.

Home Jobs In United Kingdom Tag: Sales Startups Solutions Architect, Applied AI position at Anthropic PBC


bot
Anthropic PBC Startups Solutions Architect, Applied AI
Experience: 5-years
Pattern: full-time
Country:
apply Apply Now
Salary:
Status:

Sales

Copy Link Report
degreeOND
loacation London, UK, United Kingdom
loacation London, UK....United Kingdom

About Anthropic 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 As a Solutions Architect on the Startups Applied AI team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude. Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems. Responsibilities: Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building You may be a good fit if you have: 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams Track record of selling technical products in competitive markets Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns Passion for making powerful technology safe and societally beneficial The annual compensation range for this role is 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. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:£150,000 - £170,000 GBPLogistics 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.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. 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. How we're different 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

Other Ai Matches

Incentive Compensation System Engineer Applicants are expected to have a solid experience in handling Sales related tasks
Data Operations Manager, Computer Use & Tool Use Applicants are expected to have a solid experience in handling AI Research & Engineering related tasks
Research Engineer / Scientist, Alignment Science Applicants are expected to have a solid experience in handling AI Research & Engineering related tasks
Policy Communications Manager Applicants are expected to have a solid experience in handling Communications related tasks
Security GRC Specialist Applicants are expected to have a solid experience in handling Security related tasks
Founding Developer Relations Lead Applicants are expected to have a solid experience in handling Product Management, Support, & Operations related tasks
Technical Program Manager, Model Evaluations Applicants are expected to have a solid experience in handling Technical Program Management related tasks
Enterprise Account Executive, Industries Applicants are expected to have a solid experience in handling Sales related tasks
Recruiter, Applied AI Applicants are expected to have a solid experience in handling People related tasks
Engagement Manager, Applied AI Applicants are expected to have a solid experience in handling Sales related tasks
Research Engineer, Reward Models Training Applicants are expected to have a solid experience in handling AI Research & Engineering related tasks
Customer Trust Lead Applicants are expected to have a solid experience in handling Security related tasks
Growth Account Executive Applicants are expected to have a solid experience in handling Sales related tasks
Startup Partnerships Applicants are expected to have a solid experience in handling Sales related tasks
Software Engineer, Enterprise Foundations Applicants are expected to have a solid experience in handling Engineering & Design - Product related tasks
Nonprofit Account Executive Applicants are expected to have a solid experience in handling Sales related tasks
Manager of Solutions Architecture, Applied AI (Digital Native Businesses) Applicants are expected to have a solid experience in handling Sales related tasks
Global Partner Sales Manager, Systems Integrators Applicants are expected to have a solid experience in handling Sales related tasks
Senior Software Engineer, Infrastructure Applicants are expected to have a solid experience in handling Software Engineering - Infrastructure related tasks
Support Operations Specialist Applicants are expected to have a solid experience in handling Product Management, Support, & Operations related tasks
EMEA Security Operations Coordinator Applicants are expected to have a solid experience in handling Security related tasks
Compensation Systems and Infrastructure Applicants are expected to have a solid experience in handling People related tasks
Staff+ Software Engineer, Infrastructure Applicants are expected to have a solid experience in handling Software Engineering - Infrastructure related tasks