Engineering Manager, Claude Services
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Job Location:
San Francisco, CA - USA
Monthly Salary:
$ 320000 - 405000
Posted on:
3 days ago
Vacancies:
1 Vacancy
Job Summary
About Anthropic
Anthropics 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
We are looking for Engineering Managers to join our Claude Experiences org to lead and grow teams of software engineers working on backend systems for including our clients on the web desktop and mobile. Youll be responsible for defining and executing the creation of shared product capabilities at the core of while maintaining clear direction and stability for your team.
This is a net-new team initially seeded with a small number of tenured engineers. Historically the design development and maintenance of our systems and infrastructure was a shared responsibility between our small group of Claude Experiences engineers collaborating closely with our larger Platform and Infra organizations. We believe that there is an opportunity for a team to drive a lot of impact both in our foundations and in the product by focusing on backend systems specifically for .
Youll partner closely with product managers engineering leadership research teams and our inference infrastructure and platform teams to transform emerging AI capabilities into products that make AI collaboration feel effortless pro-human and essential to how work gets done.
Success in this role requires a strong ability to understand stakeholder needs identify opportunities to share capabilities across products understand our product and roadmap deeply and the ability to facilitate rapid iterations to improve our product suite. We both need to maintain high-quality systems for our existing product surfaces while collaborating closely with research to build products at the frontier of model capabilities.
About Claude Experiences
We are responsible for across the web desktops and mobile devices. Our mission is to craft coherent Claude experiences that delight at every touchpoint making AI collab feel effortless pro-human and essential to how work gets done.
Responsibilities
- Lead and coach a high-performing team of software engineers through the complexities of 0-1 platform development
- Design develop and maintain systems that are highly available responsive and fault-tolerant
- Decide which existing systems to improve rebuild or maintain
- Partner effectively with engineering and product leaders to align on direction and execution
- Create a balanced environment that encourages both iterative improvement and rigorous evaluation
- Provide clear actionable feedback and support for engineer growth and development
- Help partner teams develop approaches for sharing capabilities and partnering to evolve our platform alongside the sophistication of our products and users
- Collaborate closely with other platform inference and API groups
- Represent the perspective and roadmap in discussions with research product and leadership stakeholders
You may be a good fit if you:
- Have 3 years of engineering management experience inclusively designing building and leading leading high-performing teams in ambiguous early-stage environments
- Excel at creating psychological safety belonging and helping teams navigate uncertainty
- Demonstrate strong interpersonal skills and ability to guide teams through rapidly evolving organization priorities while building underlying stable platforms
- Have excellent cross-functional leadership skills to build alignment between research engineering and product
- Are skilled at facilitating decision-making rather than imposing solutions
- Have expertise in mentoring and investing energy into team culture
- Have excellent communication skills to represent the importance of and need to invest in platform capabilities at the core of our products
- Have a comprehensive technical understanding of modern software product development processes and technical stacks. Experience of AI/ML is a bonus
- Care deeply about responsibly pushing the boundaries of AI capabilities in service of Anthropics mission
Strong candidates may also:
- Have experience building products from zero to one in a startup environment
- Have expertise in modern web development stacks (React etc)
- Have expertise working on AI/ML products
- Have expertise with identity management authentication systems and enterprise security standards
The expectedbase compensation for this position is below. Our total compensation package for full-time employees includes equity benefits and may include incentive compensation.
Annual Salary:
$320000 - $405000 USD
Logistics
Education requirements: We require at least a Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.
How were 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. Were 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 aboutour policyfor using AI in our application process
Required Experience:
Manager
Key Skills
- Hospitality Experience
- Go
- Management Experience
- React
- Redux
- Node.js
- AWS
- Mechanical Engineering
- Team Management
- Leadership Experience
- Mentoring
- Distributed Systems
About Company
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
