Anthropic Logo

Anthropic

Manager, Applied AI Architect, Enterprise Tech

Posted 26 Days Ago
Be an Early Applicant
In-Office
New York, NY
315K-380K Annually
Senior level
In-Office
New York, NY
315K-380K Annually
Senior level
Leads and scales Anthropic’s Enterprise Tech Solutions Architect pre-sales team. Responsibilities include hiring and coaching architects, partnering with sales on adoption strategies, advising strategic customers on AI use cases and deployments, supporting proofs of concept, communicating customer feedback to product and engineering, and representing Anthropic at executive engagements, conferences, webinars, and technical content initiatives.
The summary above was generated by AI
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 the manager of the Solutions Architect team within Applied AI Enterprise Tech at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go to market organization. Our Enterprise Tech customers are some of the world's most sophisticated technology companies, deploying AI at the core of their products and operations.. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.

You will be responsible for leading and growing the pre-sales team that partners with account executives to help those companies understand and deploy Anthropic’s products, including Claude for Enterprise, Claude Code, and the API. This will include leveraging your technical skills and consultative sales experience to hire great people, establish processes for the team to scale, and represent Anthropic directly at strategic customer engagements.

Responsibilities: 
  • Hire, manage, and guide a team of pre-sales Solutions Architects by providing both technical guidance and career development.

  • Set goals for your team in collaboration with sales and other parts of the organization that establish baseline expectations for performance.

  • Act as a technical sponsor for high-value strategic customers and advise them on their overall AI adoption strategies or use case scoping and POC execution.

  • Partner closely with Enterprise Tech sales leadership to identify new strategies to drive adoption of Anthropic products across customer use cases.

  • Work with cross-functional teams like product and engineering to ensure Anthropic prioritizes customer feedback or resolves blockers to adoption.

  • Travel to customer sites or conferences for executive-level sessions, technical workshops, and relationship building.

  • Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products.

  • Contribute to thought leadership through conference presentations, webinars, and technical content creation.

  • Stay current with emerging AI/ML trends and the competitive landscape.

You may be a good fit if you:
  • 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role.

  • 3+ years of technical pre-sales management experience.

  • Have deep technical proficiency with enterprise AI use cases, API integrations, and LLM deployments.

  • Thrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments.

  • Have excellent communication, collaboration, and coaching abilities.

  • Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams at leading enterprise technology companies.

  • Have at least a high level familiarity with the architecture and operation of LLMs.

  • Have a passion for making powerful technology safe and societally beneficial.

  • Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI.

Strong candidates may have:
  • Enterprise pre-sales leadership at scale: 5+ years leading solution architect teams through hypergrowth (ideally 10 to 50+ people), with direct experience managing senior individual contributors and developing junior talent in complex enterprise software sales environments.

  • AI Technical Depth + Executive Engagement: Hands-on experience with AI platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders in $10M+ technical evaluations and enterprise sales cycles.

  • Multi-Segment GTM Experience: Demonstrated success adapting technical approaches across customer segments (commercial to Fortune 100).

The annual compensation range for this role is listed 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.

Annual Salary:
$315,000$380,000 USD
Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. 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.

Similar Jobs

Yesterday
Hybrid
150K-190K Annually
Senior level
150K-190K Annually
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Lead end-to-end video production for Cloudflares Growth team: concept, scripting, shooting, editing, motion design, and delivery across platforms. Produce product launch videos, developer tutorials, event recuts, short-form social content, and ad creative variants. Build AI-assisted workflows, templates, and motion libraries; use performance data to iterate and optimize content.
Top Skills: Adobe Premiere ProAfter EffectsCapcutDavinci ResolveFinal Cut ProOpusclipRunway
148K-211K Annually
Senior level
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Leads continuous improvement sustainability across a business unit or Finance function. Coaches senior leaders, assesses CI maturity, translates findings into strategic priorities, oversees improvement plans, and drives measurable value creation. Designs and scales CI systems, facilitates cross-functional forums, integrates balanced scorecard metrics, and advances enterprise methodologies through the Center of Excellence. Requires strong executive influence, Lean or operational excellence expertise, project management, facilitation, coaching, and problem-solving capabilities.
Top Skills: ExcelPowerPoint
Yesterday
Hybrid
17-28 Hourly
Junior
17-28 Hourly
Junior
eCommerce • Fashion • Retail • Sales • Wearables • Design
Leads retail store operations and sales-floor performance while delivering exceptional customer experiences. Coaches and develops team members, monitors sales data and KPIs, implements company initiatives, supports recruiting and training, enforces policies, manages customer relationships, and provides conflict-resolution support. The role requires strong leadership, customer focus, business acumen, and the ability to lift up to 50 pounds.

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account