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 Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our cloud partners (AWS and GCP), and our non-cloud partners to include Global System Integrators (GSIs) and Regional System Integrators (RSIs). You will be focused on strengthening our relationships with key partners to accelerate indirect revenue and execute on long term GTM strategy.
Responsibilities:
- Be a strategic technical thought partner to the Anthropic partnerships team, providing technical expertise to better understand the partner landscape, and driving key strategic programs with our partners
- Embed with partner technical teams to support troubleshooting and evangelize Anthropic in our partner’s developer communities e.g. participation in slack channels. Be the interface with technical champions groups (e.g. Claude champions), serve an escalation point, and evangelize developer communities in our partners
- Intervene directly to unblock strategic customer deals with partners
- Collaborate with cloud and non-cloud partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment
- Represent Anthropic at partner events such as AWS summits (partnering closely with the Ministry of Education for technical education). Lead partner-specific developer events or hackathons, especially for the more technically native start-up community
- Validate and gather feedback on Anthropic’s products and offerings, especially as they relate to the use of our products through partners, and deliver this feedback to relevant Anthropic teams
You may be a good fit if you have:
- 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager
- Experience working with cloud providers and/or system integrators to solve complex technical projects
- Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
- Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders
- Experience designing scalable cloud architectures and integrating with enterprise systems
- Familiarity with common LLM frameworks and tools or a background in machine learning or data science
- Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
- A love of teaching, mentoring, and helping others succeed
- Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
- 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
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
Annual Salary:
$170,000—$255,000 USD
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.
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.
Top Skills
What We Do
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.