Manager of Product Engineering, Applied AI at ANTHROPIC PBC DBA ANTHROPIC INC

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Full Time

Start Date

Immediate

Expiry Date

26 Dec, 25

Salary

320000.0

Posted On

27 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Product Engineering, Applied AI, Technical Guidance, Customer Engagement, Team Management, Communication Skills, Problem Solving, AI Systems, Large Language Models, Sales Engineering, Collaboration, Coaching, Innovation, Technical Requirements, Career Development, Market Share

Industry

Research Services

Description

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 Product Engineering, Applied AI team at Anthropic, you will work with some of the largest Enterprise businesses driving the adoption of frontier AI by developing bespoke LLM solutions for these companies. You’ll leverage your technical skills and consultative sales experience to architect innovative solutions that address our customers' business needs, meet their technical requirements, and provide a high degree of reliability and safety. You’ll be responsible for leading & growing the Product Engineer, Applied AI team, establish processes and best practices for your segment’s client engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships. In collaboration with the Sales, Product, and Engineering teams, you’ll help Enterprise companies incorporate leading-edge AI systems into their robust end-to-end systems. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards. Responsibilities: Manage and mentor a team of Applied AI Product Engineers and other technical GTM resources supporting Enterprises providing both technical guidance and career development Invest in enablement processes for the product engineering organization: creating onboarding materials & fostering an environment of continuous improvement Partner closely with your aligned GTM leadership to understand customer requirements & build GTM strategies to drive increased market share & adoption for the Digital Natives space Set goals and reviews for your team, promoting growth and output Work with Digital Native businesses on their advanced application of LLMs and provide technical guidance on integration, deployment, and adoption best practices Lead and support the team in complex evaluations, problem solving and challenging customer environments Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes Travel occasionally to customer sites for workshops, implementation support, and building relationships and to Digital Native Enterprises focused user groups & industry events Establish a shared vision for creating solutions that enable beneficial and safe AI Lead the vision, strategy, and execution of innovative solutions that leverage our latest models’ capabilities You may be a good fit if you have: 5+ years of experience as a Forward Deployed Engineer, Customer Engineer, Sales Engineer, or Solutions Architect 3+ years of customer-oriented engineering management role Experience building and operating AI-native products Have experience working with Digital Native Enterprise Customers Have an organizational mindset and enjoy building teams in a relatively unstructured environment Have excellent communication, collaboration, and coaching abilities Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments Strong executive presence and ability to foster deep relationships with our customers Have at least a high level familiarity with the architecture and operation of large language models and/or as ML in general Make ambiguous problems clear and identify core principles that can translate across scenarios Have a passion for making powerful technology safe and societally beneficial Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks Stay up-to-date and informed by taking an active interest in emerging research and industry trends Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is: Annual Salary: $320,000—$320,000 USD Logistics 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. 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

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Responsibilities

Manage and mentor a team of Applied AI Product Engineers while establishing processes for client engagements. Collaborate with cross-functional teams to drive business outcomes and support Enterprise companies in adopting AI systems.