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:
The Product Foundations team is seeking an Engineering Manager to lead and grow our team of software engineers working on early-stage AI capabilities. As the Engineering Manager on Product Platform, you’ll be responsible for defining and executing the creation of shared product capabilities at the core of Anthropics’ product surfaces, while maintaining clear direction and stability for the team.
You'll partner closely with product managers, engineering leadership, talented engineers and research teams to transform emerging AI capabilities into product capabilities. Success in this role requires a strong ability to understand stakeholders 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.
About Product Foundations:
Product Foundations serves as an internal capabilities team building product infrastructure, shared components and focusing significant energy on cross functional efforts including reliability, latency and efficiency. Our mandate is to build and maintain the foundational platforms, infrastructure and abstractions that enable Anthropic's products to operate securely, reliably, and efficiently at scale while accelerating product development across the organization. We embed with product engineering teams to provide platform perspective, build shared mvp capabilities, and align to a shared vision for success.
Responsibilities:
- Lead and coach a high-performing team of software engineers through the complexities of 0-1 platform development
- 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.
- Drive adoption of platform capabilities and learnings to inform company-wide product strategy and planning
- Represent the platform perspective and roadmap in discussions with research, product, and leadership stakeholders
You may be a good fit if you have:
- Have 3+ years of engineering management experience leading high-performing teams in ambiguous, early-stage environments
- Excel at creating psychological safety 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 Anthropic's mission
Strong candidates may also have experience with:
- Building products from zero to one in a startup environment
- Expertise in modern web development stacks (React, Next.js, etc)
- Experience working on AI/ML products
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
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.
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