Anthropic
Overview
Engineering Manager, Product Platform — Anthropic The Product Platform team at Anthropic 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, engineers and research teams to transform emerging AI capabilities into product capabilities. Success requires understanding stakeholder needs, identifying opportunities to share capabilities across products, deeply knowing the product and roadmap, and facilitating rapid iterations to improve the product suite. 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 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 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. Some roles may require more time in our offices. Visa sponsorship:
We do sponsor visas. 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 meet every single qualification.
Not all strong candidates will meet every qualification listed. We value representation and diverse perspectives on our team. How We are Different
We believe that the highest-impact AI research will be big science and that impact comes from steerable, trustworthy AI. We work as a single cohesive team on a few large-scale research efforts and value communication skills and collaboration. Read our recent research to understand our directions. 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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Research Services Referrals increase your chances of interviewing at Anthropic by 2x
#J-18808-Ljbffr
Engineering Manager, Product Platform — Anthropic The Product Platform team at Anthropic 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, engineers and research teams to transform emerging AI capabilities into product capabilities. Success requires understanding stakeholder needs, identifying opportunities to share capabilities across products, deeply knowing the product and roadmap, and facilitating rapid iterations to improve the product suite. 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 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 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. Some roles may require more time in our offices. Visa sponsorship:
We do sponsor visas. 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 meet every single qualification.
Not all strong candidates will meet every qualification listed. We value representation and diverse perspectives on our team. How We are Different
We believe that the highest-impact AI research will be big science and that impact comes from steerable, trustworthy AI. We work as a single cohesive team on a few large-scale research efforts and value communication skills and collaboration. Read our recent research to understand our directions. 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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Research Services Referrals increase your chances of interviewing at Anthropic by 2x
#J-18808-Ljbffr