You'll combine deep technical fluency with the leadership judgment needed to operate across segments, regions, and partner types,from global health foundations to leading research institutions to frontline non-profits. You'll set the vision for how we scale our expertise from a handful of flagship partnerships to an ecosystem of organisations operating as AI-native, and you'll be accountable for the team, processes, and cross-functional relationships that make that possible.

In collaboration with Beneficial Deployment’s Head of Nonprofits, Product, Engineering, Policy, and our broader GTM organisation, you'll help ensure our partners incorporate Claude into their work responsibly, effectively, and in ways that meaningfully accelerate their missions. You'll represent Anthropic as a senior technical leader on some of our most visible and consequential partnerships, while maintaining our best-in-class safety standards.

Responsibilities:

• Lead, grow, and mentor a globally distributed team of Architects supporting mission-driven non-profits across education, global health, economic mobility, and life sciences

• Set the vision, strategy, and operating model for how Applied AI shows up in Beneficial Deployments,from discovery through deployment, and from individual partnerships to ecosystem-wide infrastructure

• Establish hiring plans, team structure, and career development paths as we scale the team globally; set goals and reviews that promote growth, output, and a high bar for technical excellence

• Partner closely with segment leads and senior partner leadership to understand requirements and shape engagements on our highest-impact partnerships

• Drive the design of cohort-based accelerators, Claude Code enablement programmes, and other scalable mechanisms that multiply our impact across many organisations simultaneously

• Identify patterns across partners and segments to inform what we build at the ecosystem level,MCPs, evals, reference implementations, and shared infrastructure

• Collaborate with Product and Engineering to surface partner needs, influence roadmap, and ensure learnings from the field shape how Claude evolves

• Represent Anthropic externally with senior leaders at foundations, non-profits, research institutions, and government-adjacent organisations

• Travel to partner sites globally for workshops, technical deep dives, and relationship building

• Help shape team processes and culture as Beneficial Deployments scales, and contribute to the broader Applied AI leadership community at Anthropic

• Travel is 30-40% due to the global nature of the team (SF, NYC, London and Bengaluru) and events across Beneficial Deployments.

You may be a good fit if you have:

• 10+ years of experience in technical, customer-facing roles (Solutions Architect, Forward Deployed Engineer, Customer Engineer, Sales Engineer, or similar), with meaningful exposure to complex, high-stakes deployments

• 7+ years of engineering or technical leadership experience, preferably building and scaling customer-facing or forward-deployed teams globally

• Experience working with or inside mission-driven organisations,education, healthcare, scientific research, global development, or non-profits,and a genuine understanding of the constraints, incentives, and operating realities of these sectors

• Familiarity with common LLM implementation patterns, including prompt engineering, evaluation frameworks, agent frameworks, and retrieval systems; working knowledge of Python

• A track record of building teams in ambiguous, fast-moving environments, and comfort wearing multiple hats as the team scales

• Strong executive presence and the ability to foster deep, trusted relationships with senior partner leadership

• Excellent communication, collaboration, and coaching abilities, with a love of teaching and helping others succeed

• The ability to think holistically, identify core principles that translate across scenarios, and make ambiguous problems clear

• A passion for making powerful technology safe and societally beneficial, and for thinking creatively about risks and benefits beyond existing playbooks

Strong candidates may also have:

• Experience leading globally distributed teams across time zones and regions

• Background in philanthropy, global health, education technology, or scientific research

• Experience designing cohort-based or programmatic delivery models that scale technical expertise across many organisations

• A working understanding of emerging research in agents, evaluations, and AI safety

XML job scraping automation by YubHub

Your responsibilities will include:

• Leading, growing, and mentoring a globally distributed team of Architects supporting mission-driven non-profits across education, global health, economic mobility, and life sciences
• Setting the vision, strategy, and operating model for how Applied AI shows up in Beneficial Deployments
• Establishing hiring plans, team structure, and career development paths as we scale the team globally
• Partnering closely with segment leads and senior partner leadership to understand requirements and shape engagements on our highest-impact partnerships
• Driving the design of cohort-based accelerators, Claude Code enablement programs, and other scalable mechanisms that multiply our impact across many organisations simultaneously

You may be a good fit if you have:

• 10+ years of experience in technical, customer-facing roles (Solutions Architect, Forward Deployed Engineer, Customer Engineer, Sales Engineer, or similar), with meaningful exposure to complex, high-stakes deployments
• 7+ years of engineering or technical leadership experience, preferably building and scaling customer-facing or forward-deployed teams globally
• Experience working with or inside mission-driven organisations,education, healthcare, scientific research, global development, or non-profits,and a genuine understanding of the constraints, incentives, and operating realities of these sectors
• Familiarity with common LLM implementation patterns, including prompt engineering, evaluation frameworks, agent frameworks, and retrieval systems; working knowledge of Python

Strong candidates may also have:

• Experience leading globally distributed teams across time zones and regions
• Background in philanthropy, global health, education technology, or scientific research
• Experience designing cohort-based or programmatic delivery models that scale technical expertise across many organisations
• A working understanding of emerging research in agents, evaluations, and AI safety

XML job scraping automation by YubHub

About the Team

Consumer Copilot Security is at the core of Microsoft’s mission to deliver trusted, human-centered AI experiences. We make security and resilience intrinsic to every Copilot interaction—across devices, platforms, and ecosystems. Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally.

About the Role

Copilot for consumers depends on a rock-solid identity foundation that makes personalized AI experiences safe and seamless across Windows, Edge, web, and mobile. We’re seeking a hands-on Principal Software Engineer to define and lead the strategy for authentication, authorization, and account systems across Copilot experiences, partnering deeply with Microsoft’s central identity platform and related teams. You’ll tackle novel risks at the frontier of agential AI, applying proven solutions and inventing new ones where needed. This role demands a rare blend of deep backend engineering expertise, mastery of modern consumer identity protocols, and the ability to make sound trade-offs between risk and velocity—keeping Copilot moving fast while raising the security and reliability bar.

Responsibilities

Identity strategy & architecture: Define the end‑to‑end identity vision for consumer Copilot and MAI, covering user/account models, sign‑in, session management, token issuance/validation, service‑to‑service auth, and cross‑device experiences.

Cross‑surface platform leadership: Drive common authentication/SSO patterns and SDKs for Windows, Edge, web, iOS, and Android; ensure seamless UX and consistent security controls across consumer surfaces and modalities.

Collaborate with product, engineering, security, privacy, and identity teams across Copilot, MAI and IDNA to drive improvements in authentication, identity, and security.

Influence technical direction and best practices across a large, distributed system, ensuring alignment and adoption of key initiatives.

Establish, monitor, and continuously improve key authentication metrics across Copilot and MAI.

Collaborate with engineering, product, and identity teams to align on a unified ground truth and leverage dashboards for ongoing measurement and root cause analysis

Align with central Microsoft Account roadmaps, influence platform capabilities, and land them in Copilot and MAI consumer scenarios at scale.

Define and document authentication patterns and requirements for AI-powered, agential flows. Ensure these patterns address novel risks, support secure delegation, and enable safe orchestration of actions across devices and services.

Hands‑on engineering: Ship secure, well‑tested, maintainable code and frameworks that other teams can adopt quickly.

Product mindset: Balance customer experience with consumer-grade security, privacy, and compliance expectations for Copilot.

Work closely with globally distributed teams, managing effective communication, coordination, and project delivery across multiple time zones.

Foster strong cross-regional partnerships to drive identity and authentication improvements at scale.

Qualifications

Required Qualifications:

Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications:

Master’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Experience integrating with Microsoft Account, and familiarity with consumer identity features.

Cross‑platform delivery: Shipped identity flows and SDKs across multiple consumer client platforms (Windows, macOS, iOS, Android, web).

Governance & lifecycle: Familiarity with consumer identity lifecycle management and privacy controls.

Privacy/Compliance: Experience embedding privacy‑by‑design and meeting consumer compliance expectations for Copilot-class workloads.

Leadership: Track record mentoring senior engineers and driving adoption of platform standards across many product teams.

XML job scraping automation by YubHub