You'll translate infrastructure and product capabilities into commercial propositions, partnering with Sales and Marketing to ensure international enterprise and government customers understand what Anthropic can deliver, and when. You'll serve as the internal subject matter expert on international readiness requirements, advising on deals, partnerships, and policy positions as they arise.

You'll build scalable processes for capturing, triaging, and acting on international product feedback so it doesn’t get lost in HQ product cycles. You'll serve as the GTM strategist for Anthropic’s mission-oriented international programs, including our approach to responsible AI deployment in democratic allied nations and our strategy for expanding access and affordability in Global South markets.

You'll partner with Policy, Beneficial Deployments, and Global Affairs to ensure mission programs have a viable commercial and infrastructure foundation, not just a policy framework. You'll track and synthesise the competitive landscape for sovereign AI and national AI programs, surfacing implications for Anthropic’s positioning and commercial strategy.

Responsibilities

• Contribute to Anthropic’s international compute strategy
• Develop a framework for evaluating and sequencing data residency and sovereign deployment requests
• Identify and document international customer requirements for product localization
• Translate infrastructure and product capabilities into commercial propositions
• Serve as the internal subject matter expert on international readiness requirements
• Build scalable processes for capturing, triaging, and acting on international product feedback
• Serve as the GTM strategist for Anthropic’s mission-oriented international programs
• Partner with Policy, Beneficial Deployments, and Global Affairs to ensure mission programs have a viable commercial and infrastructure foundation

Requirements

• 5–7 years in product, technical GTM, solutions engineering, or strategy roles with meaningful international scope
• Strong working knowledge of cloud infrastructure, data residency frameworks, and enterprise compliance requirements
• Experience working with or selling to government customers or regulated enterprises
• Ability to synthesise complex technical, regulatory, and geopolitical constraints into clear commercial and strategic recommendations
• Comfortable building internal processes from scratch
• High autonomy and strong written communication
• Direct experience with sovereign cloud programs, regulated data environments, or government AI initiatives is a plus
• Familiarity with EU AI Act, India DPDP Act, or similar regulatory frameworks shaping enterprise AI deployment internationally is a plus
• Experience at a hyperscaler, cloud provider, or enterprise SaaS company navigating international infrastructure decisions is a plus
• An interest in the intersection of AI, democratic governance, and responsible technology deployment is a plus
• Annual salary: £120,000-£170,000 GBP

$190,000-$270,000 USD

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As the engineer responsible for Safeguards on those surfaces, you will ensure that every request served through our CSP partners is monitored for misuse, enforced against policy, and compliant with the data residency and privacy commitments that enterprise CSP customers expect.

You will sit at the seam between the Safeguards organisation and the Cloud Inference team: taking classifiers, detection signals, and enforcement policies developed by Safeguards and making them run reliably inside a CSP partner's infrastructure at serving-path latency and scale.

Responsibilities:

• Build, deploy and operate real-time safeguards infrastructure,classifiers, rate limits, enforcement actions, and intervention hooks,embedded directly in the third-party CSP inference serving path

• Design and maintain the data residency and privacy architecture for safeguards signals on CSP platforms, ensuring we can detect abuse and monitor model behaviour while honouring regionalisation boundaries and enterprise contractual commitments

• Develop telemetry, logging, and evaluation pipelines that give Safeguards, Policy, and T&S operational teams situational awareness over CSP traffic and close the visibility gap between third-party and first-party serving

• Dive into the CSP serving stack to identify the lowest-impact points to gather signals or introduce interventions without degrading latency, stability, or overall architecture

• Hold a high operational bar: own on-call, drive root-cause analyses and postmortems for safeguards incidents on CSP platforms, and build systems that reduce the human intervention required to keep Claude safe

• Work closely with Safeguards research, Policy & Enforcement, the Cloud Inference team, and CSP partner contacts to turn detection research and policy decisions into production enforcement that works inside a partner's cloud.

You may be a good fit if you:

• Have a Bachelor's degree in Computer Science, Software Engineering, or comparable experience

• Have 4–10+ years of experience in high-scale, high-reliability software development, ideally with exposure to trust & safety, anti-abuse, fraud, or integrity systems

• Are proficient in Python and comfortable working across the stack,from request-path services to data pipelines to internal tooling

• Think adversarially: you can see a system from a bad actor's perspective, anticipate how they will respond to countermeasures, and design defences in depth rather than single points of enforcement

• Have experience scaling infrastructure to accommodate rapid traffic growth while keeping latency and reliability within tight budgets

• Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development

• Have strong communication skills and can explain complex technical and risk tradeoffs to non-technical stakeholders across Policy, Legal, and partner organisations

• Enjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space

Strong candidates may also have experience with:

• Building trust and safety, anti-spam, fraud, or abuse detection and mitigation mechanisms for AI/ML systems, or the infrastructure to support these systems at scale

• Machine learning serving infrastructure (GPUs/TPUs, inference servers, load balancing) and the operational realities of running models in production

• Major cloud platform internals,IAM, Network/service perimeter controls, regional resource constraints, cloud-native logging/monitoring,or experience shipping software that runs inside a partner's cloud rather than your own

• Data residency, privacy engineering, or compliance-constrained architectures, particularly where telemetry has to stay within regional or contractual boundaries

• Working closely with operational and human-review teams to build custom internal tooling, admin UX, and alerting

• Adversarial mindset: has shipped defences against motivated attackers before, knows what it feels like when they adapt, and can sprint to close a gap before it becomes an incident

• Comfortable operating at the intersection of platform/infra engineering and trust & safety,neither a pure infra engineer nor a pure T&S engineer, but someone who can credibly do both

• Has shipped software that runs inside someone else's infrastructure (partner cloud, embedded deployment, or similar) and knows how to get things done when you don't control the whole stack

• Senior enough to own a cross-team seam independently, drive consensus across orgs, and make latency/safety tradeoff calls without escalation

• TypeScript or Rust, and agentic coding tools such as Claude Code

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role's On Target Earnings ('OTE') range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $405,000-$485,000 USD

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You'll translate infrastructure and product capabilities into commercial propositions, partner with Sales and Marketing to ensure international enterprise and government customers understand what Anthropic can deliver, and serve as the internal subject matter expert on international readiness requirements.

You'll also build scalable processes for capturing, triaging, and acting on international product feedback, serve as the GTM strategist for Anthropic's mission-oriented international programs, and partner with Policy, Beneficial Deployments, and Global Affairs to ensure mission programs have a viable commercial and infrastructure foundation.

You'll track and synthesise the competitive landscape for sovereign AI and national AI programs, surfacing implications for Anthropic's positioning and commercial strategy.

To succeed in this role, you'll need 5–7 years of experience in product, technical GTM, solutions engineering, or strategy roles with meaningful international scope, a strong working knowledge of cloud infrastructure, data residency frameworks, and enterprise compliance requirements, and experience working with or selling to government customers or regulated enterprises.

You'll also need the ability to synthesise complex technical, regulatory, and geopolitical constraints into clear commercial and strategic recommendations, comfort building internal processes from scratch, and high autonomy and strong written communication.

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This work takes grit, because we move fast, without ever sacrificing craft or quality. Our mission is to bring development superpowers to everyone. From entrepreneurs launching their first idea to global enterprises scaling their digital presence, we empower teams to design, launch, and optimize for the web without barriers.

We believe the future of the web, and work, is more open, more creative, and more equitable. And we’re here to build it together.

We're looking for an Engineering Manager, Datastores to lead the team responsible for the reliability, scalability, and evolution of Webflow’s core production databases , primarily MongoDB and PostgreSQL. This team operates at the heart of our application and hosting stack, enabling product teams to ship confidently while maintaining high standards of performance, durability, security, and data residency.

Webflow’s product and hosting platform operates at a significant scale. The Datastores team sits at a critical boundary between application velocity and system durability. This is a high-leverage leadership role at the core of Webflow’s infrastructure strategy.

About the role:

• Lead and grow a team of Database engineers responsible for MongoDB and PostgreSQL in production.
• Own the operational excellence of our database layer, including availability, durability, performance, cost efficiency, and data residency.
• Drive roadmap and strategy for multi-region architecture, backup and disaster recovery, indexing and schema governance, capacity planning, and infrastructure automation (Pulumi/Terraform).
• Partner with Product Engineering to guide new access patterns, review high-impact launches for database risk, and establish guardrails that enable velocity without compromising reliability.
• Improve reliability through proactive failure-mode detection, clear SLOs, actionable alerting, and high-quality incident response and retrospectives.
• Build self-service tooling and paved roads for migrations, connection management, indexing, and query best practices.
• Mentor and grow senior and staff engineers while contributing to broader infrastructure strategy across AWS, Kubernetes, and stateful systems architecture.

About you:

• BS / BA college degree or relevant experience
• Business-level fluency to read, write and speak in English
• 2+ years of experience leading high-performing engineering teams.
• 6+ years of hands-on experience operating and scaling production databases (MongoDB and/or PostgreSQL preferred).
• Experience running business-critical, high-throughput systems with strong availability and durability requirements.

You’ll thrive in this role if you:

• Bring deep expertise in operating and scaling production databases (e.g., replication, failover, indexing, query planning, migrations) and have led teams supporting stateful, multi-region systems with strict uptime requirements.
• Balance strong architectural judgment with pragmatism , evolving our datastore strategy while enabling product teams to ship quickly and safely.
• Think in terms of SLOs, capacity models, and long-term architectural trade-offs, with hands-on experience in infrastructure as code (Pulumi/Terraform), Kubernetes, and AWS.
• Bring strong systems-level thinking to performance and reliability, identifying root causes across application, database, and infrastructure layers and building preventative solutions.
• Lead calmly through high-severity incidents, drive blameless postmortems and systemic improvements, and build strong cross-functional relationships grounded in craftsmanship and continuous improvement.
• Stay curious and open to growth-Demonstrate a proactive embrace of AI, actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.

Our Core Behaviors:

• Build lasting customer trust.
• Win together.
• Reinvent ourselves.
• Deliver with speed, quality, and craft.

Benefits:

• Ownership in what you help build.
• Health coverage that actually covers you.
• Support for every stage of family life.
• Time off that’s actually off.
• Wellness for the whole you.
• Invest in your future.
• Monthly stipends that flex with your life.
• Bonus for building together.

Be you, with us:

At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.

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We're hiring an Engineering Manager to lead the team that builds the infrastructure foundations for Replit Enterprise, enabling the deployment flexibility, networking capabilities, and data controls that large organisations require. You'll own the roadmap for enterprise infrastructure features including single-tenant deployments, private networking, data residency, and customer-managed encryption, partnering closely with Platform & Infrastructure Engineering, Security and Sales to unlock adoption at the world's most demanding organisations.

What You'll Do

• Own enterprise infrastructure foundations: Lead the roadmap for single-tenant and dedicated deployment options, VPC peering and private connectivity, static IP configurations, and regional data residency ensuring enterprises can run Replit within their security and compliance boundaries.

• Build advanced data protection capabilities: Design and ship features like bring-your-own-key (BYOK) encryption, customer-managed keys, and enhanced data isolation controls that give enterprises ownership over their most sensitive data.

• Partner with go-to-market: Work hand-in-hand with Sales and Customer Success to understand enterprise infrastructure requirements, unblock deployments, and translate field feedback into the roadmap.

• Scale the team: Hire, coach, and retain exceptional infrastructure engineers; create a high-ownership culture with clear execution rituals, high code quality, and thoughtful on-call practices.

• Drive technical strategy: Define SLAs/SLOs for enterprise infrastructure reliability; evaluate build-vs-buy decisions for complex infrastructure capabilities; ensure our platform meets evolving enterprise security and compliance needs.

What You'll Bring

• 6–10+ years in engineering with 3+ years managing teams building cloud infrastructure, platform engineering, or enterprise SaaS at scale.

• Depth in cloud infrastructure and networking: you've shipped production systems involving VPCs, private connectivity, multi-tenant isolation, or dedicated/single-tenant architectures.

• Strong technical leadership across infrastructure technologies: Kubernetes, cloud platforms (GCP/AWS), networking, and Infrastructure as Code.

• Experience with enterprise security and compliance requirements: encryption at rest/in transit, key management, data residency, or similar controls.

• Cross-functional chops: you've partnered with Security, Sales, and Support to scope and deliver infrastructure capabilities that close enterprise deals.

• Excellent hiring, coaching, and performance management skills; crisp written/async communication.

Nice to Have

• Experience building enterprise deployment options (dedicated tenants, private cloud, on-prem) for a SaaS platform.

• Familiarity with enterprise compliance frameworks (SOC 2, FedRAMP, HIPAA) and how they translate to infrastructure requirements.

• Experience with developer platforms, cloud IDEs, or developer productivity products.

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