Location: London, UK

Department: Sales

As the Manager of the International Partnerships, Applied AI, Solutions Architect team at Anthropic, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) through our Global and Regional System Integrators (GSIs/RSIs), cloud partners (AWS and GCP), and strategic technology partners across international markets.

Based in London, you will lead and grow a team of Partner Solutions Architects, establishing Anthropic's technical partner ecosystem across EMEA and beyond. You'll be responsible for leading & growing the International Partnerships Applied AI team, establishing processes and best practices for partner-led pre-sales engagements, helping each team member achieve success, high productivity, and career growth, and representing Anthropic as a technical lead on some of its most important international partnerships.

In collaboration with the Sales, Partnerships, Product, and Engineering teams, you'll help partners incorporate leading-edge AI systems into their practices, solutions, and customer engagements. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike.

You will play a critical role in identifying opportunities to accelerate indirect revenue, enable partner AI practices, and execute on long-term international GTM strategy, while maintaining our best-in-class safety standards.

Responsibilities:

• Team Leadership & Development: Manage and mentor a team of Applied AI, Partner Solutions Architects, providing both technical guidance and career development. Set goals and reviews for your team, promoting growth and output

• Strategic Technical Partnership: Serve as the senior technical thought partner to the Anthropic international GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities across international markets

• Partner Ecosystem Enablement: Embed your team with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues

• Joint Solution Development: Lead your team in collaborating with partners to identify high-value industry-specific GenAI applications, develop joint solutions, and codify reference architectures / best practices to accelerate time to deployment across international markets

• Customer Deal Support: Own the technical portions of partner-led pre-sales engagements, ensuring your team intervenes directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance

• Partner Ecosystem & Events: Represent Anthropic at international partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions

• Cross-Functional Collaboration: Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes. Partner closely with your aligned GTM leadership to co-build international partner strategies

• Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to international partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy

• Thought Leadership: Contribute to thought leadership through conference presentations, webinars, and technical content creation focused on the international partner ecosystem

You may be a good fit if you:

• 7+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager

• 5+ years of technical go-to-market management experience, specifically managing pre-sales or partner-facing technical teams across EMEA, APAC, and other international regions.

• Track record of successfully building and scaling partnerships with GSIs (e.g., Accenture, Deloitte, WPP, TCS, Infosys) and/or cloud providers (AWS, GCP) to solve complex technical challenges across international markets

• Experience with the unique dynamics of partner-led selling and delivery, including indirect revenue models and partner enablement at scale

• Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders including C-suite executives, engineering & IT teams, and partner leadership

• Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment

• Have excellent communication, collaboration, and coaching abilities

• Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments

• Strong executive presence and ability to foster deep relationships with technical leaders and partner engineering teams

• Have at least a high-level familiarity with the architecture and operation of large language models and/or ML in general

• Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems

• A love of teaching, mentoring, and helping others succeed

• Have a passion for making powerful technology safe and societally beneficial

• Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks

Strong candidates may have:

• Partner SA Leadership at Scale: 5+ years leading partner-facing solution architect teams through hypergrowth, with direct experience managing both senior SAs and developing junior talent in complex partner ecosystem environments

• AI/ML Technical Depth + Executive Engagement: Hands-on experience with AI/ML platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders and partner leadership in large-scale technical evaluations and joint GTM motions

• GSI Practice Building: Experience helping GSIs or consultancies build or scale their AI/ML practices, including enablement programs, certification paths, and joint solution development

Annual compensation range for this role is £170,000-£215,000 GBP.

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As a Senior Full-Stack Software Engineer on our Task Workflows Platform team, you will build and scale the foundational infrastructure that powers core experiences across Brex. You will work across our extensive suite of platforms - including our multi-channel notifications engine, collaborative commenting system, and dynamic workflow rule builder.

Responsibilities

• Work with engineers across the company to build new features and products end-to-end
• Own problems end-to-end, thinking through everything from user experience, data models, scalability, operability and ongoing metrics
• Provide technical leadership to team by driving roadmap direction, architectural design and mentorship
• Work side-by-side with user-facing teams (Sales, Support) to best understand the needs of our customers
• Tune and polish features to a high degree of excellence
• Identify and implement reliability and performance improvements
• Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter

Requirements

• 7+ years of professional experience designing, developing, and deploying full-stack products
• Strong proficiency in backend programming languages (Java, Kotlin, Python)
• Experience architecting, building, and maintaining scalable, high-availability distributed systems
• Experience designing and optimizing SQL and/or NoSQL databases, including data modeling, query performance tuning, and schema design
• Experience building and maintaining RESTful APIs and/or GraphQL services
• Experience with modern frontend technologies and tools like ES6+, React, TypeScript, and Webpack

Bonus points

• Experience collaborating with cross-functional stakeholders and specialists in product, design, and operations
• Experience driving initiatives at a broader level across an organization or company
• Experience running in-product experiments, A/B testing
• Experience and interest in leveraging AI developer tools

Compensation

The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors, including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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The Chief Engineer will develop a technical strategy and roadmap in conjunction with the Head of Engineering for Space Missions and the Growth/Strategy leads of the Space team that effectively leverages current Anduril technologies and newly developed technologies to serve the customer mission areas. This role will address pre-award demonstrations, early contract phases, and full-contract execution.

The Chief Engineer, working with a multi-disciplinary engineering team, will ensure the efficient development and delivery of hardware and software solutions for the customer. These efforts will include leading complex, integrated systems for on-orbit operations and demonstrations to include sub-contracted teammates and strategic partnerships.

The chief engineer will need to facilitate effective technical development and integration that spans company-boundaries in an agile development approach in the context of a continuous integration/continuous deployment paradigm. They will need to balance development of new capabilities with the incorporation of several pre-existing Anduril or industry capabilities and need to effectively communicate the development status to internal and external stakeholders.

The Chief Engineer will be responsible for technical oversight of all aspects of program execution from proposals to SRR, PDR, CDR, MRR, TRR, assembly, qualification testing, and delivery of flight units for launch. The Chief Engineer in conjunction with the Head of Engineering for Space Missions will assist in building out the necessary infrastructure for Anduril to execute on all necessary aspects a space based interceptor consisting of satellite and payload build and test to include working with external vendors for establishing test requirements and pass/fail criteria.

The Chief Engineer will also work closely with the Anduril Space C2 team to enable and deliver Space Ground C2 products to both the customer and to further Anduril’s penetration into customer ecosystems.

Key responsibilities include:

• Providing technical expertise across multiple spacecraft subsystems and ground systems
• Leveraging strategic partnerships and teammates for building out new products to satisfy customer requirements in new and challenging mission areas
• Providing space industry expertise to refine and advance the Anduril Space Based Interceptor strategy for customer engagements and demonstrations
• Contributing technical inputs to proposals to include engineering execution plans
• Providing oversight to a multi-disciplinary team of engineers through all phases of program execution up to and including delivery and operation of capabilities on-orbit
• Performing mission and system level trade studies and analysis to balance risk, cost, and performance

Required qualifications include:

• Experience in architecting, developing, and delivering defense/IC satellite and space hardware and software systems
• Experience in high dV spacecraft, dynamic space operations, space based sensing and understand mission operations for surveillance and reconnaissance at multiple orbits
• Understanding of the recent/current technical state of key USSF and IC space systems and mission areas
• Demonstrated ability to decompose complex systems with competing objectives (e.g., performance, schedule, openness, cybersecurity, MLS) into executable requirements and execution then delivering on those to meet government expectations
• Experience with spacecraft standards for qualification testing and acceptance testing to include the use of GEVS, SMC-S-016 (MIL-STD-1540), etc.
• Experience with US government space mission areas and associated CONOPS for successfully executing missions to enable space for the warfighter
• Design and development of space vehicle and payload architectures and detailed mission solutions to complex space domain challenges
• Strong technical communication skills, providing the ability to deliver critical technical briefings and conclusions to technical leadership, company leadership, and customers
• Strong technical fundamentals in space systems, space ground infrastructure, and product development
• Technical experience leading US Government contracts
• Eligible to obtain and maintain an active U.S. Secret security clearance

Salary: $254,000 - $336,000 USD

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The successful applicant will have a track record of working with large enterprise organisations in driving business and technical outcomes through technology solutions, with experience in engaging at the C-level with Business and Technology stakeholders.

Responsibilities:

• Land an end-to-end value proposition for web security & performance that spans the breadth of Cloudflare Product offerings.
• Empower customers in their security adoption journey, helping them to define a secure strategy,
• Architecture of necessary security controls aligned with Cloudflare Security and Performance product suites
• Work closely with Account Executives to educate your prospective customers on how they can obtain success on the Cloudflare platform
• Apply technical knowledge to architect security solutions that meet business, IT, Regulation and Compliance needs, infusing key security technologies where appropriate.
• Be a Voice of the Customer to share insights and best practices, connect with Global Engineering and Product teams at Cloudflare to remove blockers and influence the roadmap.
• Maintain long-term trusted adviser relationships with the peers at your customers and work hand-in-hand with the Customer Success team to ensure your customers are delighted with Cloudflare offerings.

Key Skills:

• 7+ years experience in a pre-sales SE role;
• Relationship Building. Proven track record of building deep technical relationships with senior security executives in large or highly strategic accounts.
• Problem Solving. Ability to solve customer security, compliance, and data protection problems through Cloudflare's technology stack.
• Customer Focus. Customer obsessed leader with an 'I will get it done' approach to solving customer challenges.
• Value Realisation. Ability to understand customer business objectives and outcomes and the ability to quickly leverage tech solutions to accomplish those outcomes.
• Trusted Technical Advisor. Ability to build strong relationships with senior security stakeholders and quickly build credibility and be viewed as a trusted advisor.

Technical Skills:

• Understanding of 'how the internet works'. For example: Know the differences between TCP & UDP, and understand what kinds of applications may favour one over the other;
• Can explain the difference between authoritative DNS & recursive DNS;
• Understand the role of a firewall, why TLS (SSL) plays an increasingly important role on today's Internet, a solid understanding of HTTP and a willingness to dive deeper into the quirks of clients & servers alike;
• Understanding of how customers make buying decisions, how to explain ROI.
• Experience in cloud computing, preferred if strong background in architecting applications on AWS or GCP;
• Technical expertise in cloud infrastructure, integrating front end web technologies such as Next.JS/React, with compute and databases;
• Demonstrated experience with a scripting language (e.g. Python, JavaScript, Bash) and a desire to expand those skills;
• You've built a web application before, or contributed to an existing application in a meaningful way;
• You can describe the differences between CSRF, XSS and SQLi in detail and Cloudflare's role in defending against them;
• Understanding of, or experience with, regulatory requirements such a PCI DSS, HIPAA, and SOC-2.

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organisations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here's the deal - we don't store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you'd like to be a part of? We'd love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorisation to receive software or technology controlled under these U.S. export laws without sponsorship for an export licence.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, colour, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition or any other characteristic protected by law.

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Key responsibilities include: Architecting the Gemini app serving and orchestration layers, defining interfaces for a scalable, modular codebase. Designing and implementing robust CI/CD pipelines and experimentation platforms. Driving application performance initiatives, debugging complex production issues, and advocating for code quality standards. Acting as the strategic technical counterpart to product and design leadership, assessing feasibility of ambitious concepts and proposing technical solutions. Mentoring staff and senior engineers, leading code reviews, and fostering a culture of technical accuracy, psychological safety, and user-centricity.

To succeed in this role, you will need a Bachelor's degree in Computer Science or Engineering, or equivalent practical experience, and 15 years of experience in software engineering, building and working with systems in the technology organization.

The US base salary range for this full-time position is between $307,000 - $427,000 + bonus + equity + benefits.

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You'll be responsible for leading and growing the DACH Applied AI Architect team, establishing processes and best practices for your segment's pre-sales engagements based on your depth of experience and knowledge of the market, helping each team member achieve success, high productivity, and career growth, and representing Anthropic as a technical lead on some of its most important partnerships.

In collaboration with Sales, Product, and Engineering teams, you'll help large enterprise customers incorporate leading-edge AI systems into both internal business transformation initiatives and customer-facing products. You will also help build technical GTM plays for Anthropic’s products and define high-value industry solutions.

Responsibilities:

• Hire, manage and mentor a team of Applied AI Architects for DACH, providing both technical guidance and career development
• Set goals and reviews for your team, promoting growth and output
• Work with a handful of highest-value enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, architecture reviews, technical champion building, technical adoption workshops and POC execution
• Partner closely with your aligned GTM leadership to understand customer requirements and co-build GTM strategies to drive adoption across all industry verticals
• Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates customer ROI from Anthropic products
• Develop scalable technical engagement frameworks and reusable assets tailored for all non-tech sectors, including Financial Services & Insurance, Healthcare, Telco, Retail and others.
• Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes
• Travel to customer sites for executive-level sessions, technical workshops, and building relationships
• Establish a shared vision for creating solutions that enable beneficial and safe AI
• Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities
• Contribute to thought leadership through conference presentations, webinars, and technical content creation
• Stay current with emerging AI/ML trends and competitive landscape across all major Industries verticals

You may be a good fit if you have:

• 7+ years of experience as an Solutions Architect, Sales Engineer, or similar pre-sales technical role
• 3+ years of technical go-to-market management experience, specifically managing pre-sales teams
• Experience working with and selling to large enterprise customers across multiple verticals
• Demonstrated ability to navigate and articulate complex technical, organisational and regulatory requirements of large enterprises, in particular in regulated industries (e.g FSI, Healthcare & Life Sciences)
• A proven knowledge of the DACH market and its local specificities (regulatory, cultural, technical…)
• Experience framing and delivering enterprise AI use cases (productivity, workflow transformation) and or scoping large enterprise adoption programs
• Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
• Demonstrated ability to build scalable, repeatable processes and frameworks that work across diverse customer segments
• An organisational mindset and enjoy building foundational teams in a relatively unstructured environment
• Excellent communication, collaboration, and coaching abilities
• Comfort dealing with highly uncertain, ambiguous, and fast-moving environments
• Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
• High-level familiarity with the architecture and operation of LLM and/or ML in general
• Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
• Ability to make ambiguous problems clear and identify core principles that can translate across scenarios
• A passion for making powerful technology safe and societally beneficial
• Creative thinking about the risks and benefits of new technologies, beyond past checklists and playbooks
• A track record of staying current with emerging AI research and industry trends

Strong candidates may also have:

• 10+ years technical experience
• 5+ years managing AI technical teams in hypergrowth (ideally from 0 to 30+)
• Previous experience leading solutions architect or pre-sales teams through rapid growth
• Proven experience and understanding across all key non-tech industry verticals, in particular the regulated industries: Financial Services, Insurance, Healthcare, Life Sciences, Telco, Retail, Consumer Goods, Manufacturing, Oil & Gas, etc.
• In addition to English, native or fluency in a DACH language
• Demonstrated experience in defining and delivering enterprise AI use cases in regulated industries: e.g Banking, Insurance, Healthcare and Life sciences
• Track record building technical playbooks and assets that scale across diverse customer segments
• Understanding of both digital-native technical requirements (API integration, developer experience) and traditional enterprise needs (security, compliance, change management)
• Background at enterprise AI software or API-first companies serving large enterprise customers
• Proven experience building a DACH AI team

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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.

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You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.

Responsibilities:

• Hire, manage and mentor a team of Applied AI Architects for Northern Europe, providing both technical guidance and career development
• Set goals and reviews for your team, promoting growth and output
• Work with a handful of highest-value enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, architecture reviews, technical champion building, technical adoption workshops and POC execution
• Partner closely with your aligned GTM leadership to understand customer requirements and co-build GTM strategies to drive adoption across all industry verticals
• Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates customer ROI from Anthropic products
• Develop scalable technical engagement frameworks and reusable assets tailored for all non-tech sectors, including Financial Services & Insurance, Healthcare, Telco, Retail and others.

You may be a good fit if you have:

• 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role
• 3+ years of technical go-to-market management experience, specifically managing pre-sales teams
• Experience working with and selling to large enterprise customers across multiple verticals
• Demonstrated ability to navigate and articulate complex technical, organisational and regulatory requirements of large enterprises, in particular in regulated industries (e.g FSI, Healthcare & Life Sciences)
• A proven knowledge of the Northern European market and its local specificities (regulatory, cultural, technical…)
• Experience framing and delivering enterprise AI use cases (productivity, workflow transformation) and/or scoping large enterprise adoption programs
• Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
• Demonstrated ability to build scalable, repeatable processes and frameworks that work across diverse customer segments
• An organisational mindset and enjoy building foundational teams in a relatively unstructured environment
• Excellent communication, collaboration, and coaching abilities
• Comfort dealing with highly uncertain, ambiguous, and fast-moving environments
• Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
• High-level familiarity with the architecture and operation of LLM and/or ML in general
• Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
• Ability to make ambiguous problems clear and identify core principles that can translate across scenarios
• A passion for making powerful technology safe and societally beneficial
• Creative thinking about the risks and benefits of new technologies, beyond past checklists and playbooks
• A track record of staying current with emerging AI research and industry trends or similar.

Strong candidates may also have:

• 10+ years technical experience
• 5+ years managing AI technical teams in hypergrowth (ideally from 10 to 50+)
• Previous experience leading solutions architect or pre-sales teams through rapid growth
• Proven experience and understanding across all key non-tech industry verticals, in particular the regulated industries: Financial Services, Insurance, Healthcare, Life Sciences, Telco, Retail, Consumer Goods, Manufacturing, Oil & Gas, etc.
• In addition to English, native or fluency in a Northern European language
• Demonstrated experience in defining and delivering enterprise AI use cases in regulated industries: e.g, Banking, Insurance, Healthcare and Life sciences
• Track record of building technical playbooks and assets that scale across diverse customer segments
• Understanding of both digital-native technical requirements (API integration, developer experience) and traditional enterprise needs (security, compliance, change management)
• Background at enterprise AI software or API-first companies serving large enterprise customers
• Proven experience building a Northern European AI team

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You will drive system-level design decisions that enable Alluxio to scale to thousands of nodes and exabytes of data, while maintaining performance, reliability, and simplicity for users.

In this role, you will operate as a technical architect and hands-on engineering leader, partnering closely with engineering teams and product management to translate complex requirements into scalable distributed system designs.

Responsibilities

• Lead the end-to-end architecture and design of large-scale distributed systems powering the Alluxio platform.
• Drive technical strategy and architectural direction across multiple teams and components.
• Design systems that support high scalability, fault tolerance, performance optimization, and data durability.
• Provide hands-on development and deep technical guidance in critical areas of the system.
• Lead complex system design reviews and mentor senior engineers on distributed systems design.
• Identify and resolve system-level performance bottlenecks and reliability challenges.
• Collaborate with product management and engineering leadership to translate product goals into technical solutions.
• Influence the broader technical ecosystem through open-source contributions and architectural thought leadership.

Requirements

• Master or BS degree in Computer Science or related technical field, or equivalent practical experience.
• Proven experience of 2+ years in a technical leadership or architect role, driving system-level design and guiding engineering teams.
• Strong hands-on software development experience in one or more general-purpose programming languages, including but not limited to Java, C/C++, or Go.
• Deep architecting expertise in at least two of the following areas:
• Distributed and parallel systems
• Distributed storage systems
• Architecting large-scale software systems
• Demonstrated ability to design and implement high-quality, stable, and scalable end-to-end system architectures in production environments.
• Strong analytical thinking and complex problem-solving skills.
• Excellent communication skills and ability to influence technical direction across teams.

Nice to Have

• PhD in Computer Science, Distributed Systems, or related fields.
• Deep understanding of consensus algorithms, storage engines, or large-scale data systems.
• Experience building or operating cloud-native infrastructure platforms.
• Experience contributing to or maintaining open-source distributed systems projects.
• Track record of designing systems that operate at massive scale (thousands of nodes or higher).
• Passion for building high-performance infrastructure software.
• Contributions to Alluxio open-source community.

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As a distributed systems engineer at Alluxio, you will be responsible for evolving the state-of-the-art Alluxio project. The work would involve solving challenging problems in the area of Distributed Data Services, Memory and data structure efficiency, Thread concurrency and locking optimizations, process coordination and caching policies and implementation.

The role would include developing innovative solutions for scaling systems to thousands of nodes and providing Data Durability and High Availability.

You will be part of a team that includes leaders, innovators, explorers, and risk-takers with extensive industry experience from top tech companies including Google, Palantir and VMWare and alumni from top computer science programs including CMU, Stanford and UC Berkeley.

We are looking for someone with a BS degree in Computer Science, similar technical field of study or equivalent practical experience. You should have software development experience in one or more general purpose programming languages including but not limited to: Java, C/C++, or Go.

Experience working with two or more from the following is a must: distributed and parallel systems, distributed storage systems, architecting large scale software systems, and/or security software development.

Excellent analytical and problem solving skills are required. Working proficiency and communication skills in verbal and written English are also necessary.

Preferred qualifications include a Master’s, PhD degree, further education or equivalent practical experience in engineering, computer science or other technical related field. Experience designing, developing, and deploying Kubernetes applications is also desirable.

If you are interested in contributing to an open source project and want to work in a fast-paced, collaborative and iterative programming environment, please apply.

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At Epic Games, we're looking for a talented Lead Engine Programmer to join our Unreal Engine team. As a key member of our team, you'll be responsible for leading a group responsible for the entire technology stack behind Unreal Editor for Fortnite, empowering creators to build bigger and better experiences while pushing the boundaries of the state of the art in dynamic content authoring and delivery.

In this role, you will

• Lead a team that maintains, optimises, and enhances workflows and tooling behind UEFN.
• Be a vision holder for our medium and long-term UEFN pipeline development strategy.
• Architect the systems and approaches to making large-scale changes incrementally in a live product.
• Work closely with game teams to gather and satisfy stakeholders’ requirements.
• Actively contribute to the codebase, troubleshoot issues, and ensure their timely resolution.
• Plan, schedule, and prioritise work with and for your team, identify risks, and determine mitigations.

What we're looking for

• Proven experience leading a programming team.
• Strong C++ programming skills.
• Proven experience in architecting, developing, and releasing large systems.
• Can drive forward long-term development goals whilst delivering on short-term wins, holding a team accountable for their output.
• Demonstrates a passion for improving developer workflows and user experience.
• Ability to communicate and work across organisations, networks, build relationships, and coordinate with other teams.

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You will lead a team responsible for the entire technology stack behind Unreal Editor for Fortnite, empowering creators to build bigger and better experiences while pushing the boundaries of the state of the art in dynamic content authoring and delivery.

Responsibilities

• Lead a team that maintains, optimises, and enhances workflows and tooling behind UEFN.
• Be a vision holder for our medium and long-term UEFN pipeline development strategy.
• Design the systems and approaches to making large-scale changes incrementally in a live product.
• Work closely with game teams to gather and satisfy stakeholders’ requirements.
• Actively contribute to the codebase, troubleshoot issues, and ensure their timely resolution.
• Plan, schedule, and prioritise work with and for your team, identify risks, and determine mitigations.

Requirements

• Proven experience leading a programming team
• Strong C++ programming skills
• Proven experience in architecting, developing, and releasing large systems
• Can drive forward long-term development goals whilst delivering on short-term wins, holding a team accountable for their output
• Demonstrates a passion for improving developer workflows and user experience
• Ability to communicate and work across organisations, networks, build relationships, and coordinate with other teams

Benefits

We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents.

Pay Transparency Information

The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren’t limited to) things such as skills and competencies, qualifications, knowledge, and experience. In addition to base pay, most employees are eligible to participate in Epic’s generous benefit plans and discretionary incentive programs (subject to the terms of those plans or programs).

British Columbia Base Pay Range

$182,815—$268,128 CAD

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As the founding leader of Applied AI Solutions Architecture in Korea, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across Korean enterprises and digital-first organisations. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.

Responsibilities:

• Build and manage the foundational team of Applied AI professionals in Seoul (Solutions Architects and Product Engineers) providing both technical guidance and career development

• Set goals and reviews for your team, promoting growth and output

• Work with a handful of highest-value enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution

• Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for Korean enterprise customers

• Contribute to thought leadership through conference presentations, webinars, and technical content creation

• Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products

• Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organisation to drive business outcomes

• Travel regularly to customer sites for executive-level sessions, technical workshops, and building relationships

• Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products

• Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities

• Stay current with emerging AI/ML trends and competitive landscape in the Korean enterprise tech sector

You may be a good fit if you have:

• 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role

• 3+ years of technical go-to-market management experience, specifically managing pre-sales teams

• Native or business-level fluency in Korean and professional proficiency in English

• Experience working with Korean enterprise customers and understanding local business culture and decision-making processes

• Experience with the unique technical requirements and technical procurement process of enterprise tech companies

• Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases

• Have an organisational mindset and enjoy building foundational teams in a relatively unstructured environment

• Have excellent communication, collaboration, and coaching abilities

• Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry

• Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams

• Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general

• Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems

• Make ambiguous problems clear and identify core principles that can translate across scenarios

• Have a passion for making powerful technology safe and societally beneficial

• Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks

• Stay up-to-date and informed by taking an active interest in emerging research and industry trends

• Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies

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As the Manager of the Applied AI Architect team for Northern European Industries at Anthropic, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across our Industries accounts: large enterprises across all non-tech verticals in the UK, Ireland and the Nordics.

You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.

Responsibilities

• Hire, manage and mentor a team of Applied AI Architects for Northern Europe, providing both technical guidance and career development
• Set goals and reviews for your team, promoting growth and output
• Work with a handful of highest-value enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, architecture reviews, technical champion building, technical adoption workshops and POC execution
• Partner closely with your aligned GTM leadership to understand customer requirements and co-build GTM strategies to drive adoption across all industry verticals
• Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates customer ROI from Anthropic products
• Develop scalable technical engagement frameworks and reusable assets tailored for all non-tech sectors, including Financial Services & Insurance, Healthcare, Telco, Retail and others.

You may be a good fit if you have:

• 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role
• 3+ years of technical go-to-market management experience, specifically managing pre-sales teams
• Experience working with and selling to large enterprise customers across multiple verticals
• Demonstrated ability to navigate and articulate complex technical, organisational and regulatory requirements of large enterprises, in particular in regulated industries (e.g FSI, Healthcare & Life Sciences)
• A proven knowledge of the Northern European market and its local specificities (regulatory, cultural, technical…)
• Experience framing and delivering enterprise AI use cases (productivity, workflow transformation) and/or scoping large enterprise adoption programs
• Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
• Demonstrated ability to build scalable, repeatable processes and frameworks that work across diverse customer segments
• An organisational mindset and enjoy building foundational teams in a relatively unstructured environment
• Excellent communication, collaboration, and coaching abilities
• Comfort dealing with highly uncertain, ambiguous, and fast-moving environments
• Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
• High-level familiarity with the architecture and operation of LLM and/or ML in general
• Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
• Ability to make ambiguous problems clear and identify core principles that can translate across scenarios
• A passion for making powerful technology safe and societally beneficial
• Creative thinking about the risks and benefits of new technologies, beyond past checklists and playbooks
• A track record of staying current with emerging AI research and industry trends or similar.

Strong candidates may also have:

• 10+ years technical experience
• 5+ years managing AI technic

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You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.

You'll be responsible for leading & growing the EMEA Applied AI, Solutions Architect team. You will establish processes and best practices for the region's technical pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships.

In collaboration with the Sales, Product, and Engineering teams, you'll help enterprise tech partners incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.

Responsibilities:

• Manage and mentor a team of Applied AI, Solutions Architect providing both technical guidance and career development
• Set goals and reviews for your team, promoting growth and output
• Work with a handful of highest-value enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution
• Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for Digital Native enterprise customers
• Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products
• Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes
• Travel occasionally to customer sites for executive-level sessions, technical workshops, and building relationships
• Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products
• Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities for tech-forward use cases
• Contribute to thought leadership through conference presentations, webinars, and technical content creation
• Stay current with emerging AI/ML trends and competitive landscape in the enterprise tech sector

You may be a good fit if you have:

• 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role
• 3+ years of technical go-to-market management experience, specifically managing pre-sales teams
• 3+ years of product management experience
• Have experience working with and selling to Digital Native focused customers (Vertical Enterprise SaaS, Horizontal Enterprise SaaS, Consumer Technology Companies, PaaS, etc.)
• Experience with the unique technical requirements and technical procurement process of enterprise tech companies
• Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
• Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment
• Have excellent communication, collaboration, and coaching abilities
• Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry
• Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
• Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general
• Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
• Make ambiguous problems clear and identify core principles that can translate across scenarios
• Have a passion for making powerful technology safe and societally beneficial
• Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks
• Stay up-to-date and informed by taking an active interest in emerging research and industry trends
• Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies

The annual compensation range for this role is £325,000 - £390,000GBP.

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As the Manager of the Applied AI Architect team for DACH Industries at Anthropic, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across our Industries accounts: large enterprises across all non-tech verticals in Germany, Switzerland and Austria.

You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.

Responsibilities

• Hire, manage and mentor a team of Applied AI Architects for DACH, providing both technical guidance and career development

• Set goals and reviews for your team, promoting growth and output

• Work with a handful of highest-value enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, architecture reviews, technical champion building, technical adoption workshops and POC execution

• Partner closely with your aligned GTM leadership to understand customer requirements and co-build GTM strategies to drive adoption across all industry verticals

• Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates customer ROI from Anthropic products

• Develop scalable technical engagement frameworks and reusable assets tailored for all non-tech sectors, including Financial Services & Insurance, Healthcare, Telco, Retail and others.

• Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organisation to drive business outcomes

• Travel to customer sites for executive-level sessions, technical workshops, and building relationships

• Establish a shared vision for creating solutions that enable beneficial and safe AI

• Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities

• Contribute to thought leadership through conference presentations, webinars, and technical content creation

• Stay current with emerging AI/ML trends and competitive landscape across all major Industries verticals

You may be a good fit if you have:

• 7+ years of experience as an Solutions Architect, Sales Engineer, or similar pre-sales technical role

• 3+ years of technical go-to-market management experience, specifically managing pre-sales teams

• Experience working with and selling to large enterprise customers across multiple verticals

• Demonstrated ability to navigate and articulate complex technical, organisational and regulatory requirements of large enterprises, in particular in regulated industries (e.g FSI, Healthcare & Life Sciences)

• A proven knowledge of the DACH market and its local specificities (regulatory, cultural, technical…)

• Experience framing and delivering enterprise AI use cases (productivity, workflow transformation) and or scoping large enterprise adoption programs

• Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases

• Demonstrated ability to build scalable, repeatable processes and frameworks that work across diverse customer segments

• An organisational mindset and enjoy building foundational teams in a relatively unstructured environment

• Excellent communication, collaboration, and coaching abilities

• Comfort dealing with highly uncertain, ambiguous, and fast-moving environments

• Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams

• High-level familiarity with the architecture and operation of LLM and/or ML in general

• Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems

• Ability to make ambiguous problems clear and identify core principles that can translate across scenarios

• A passion for making powerful technology safe and societally beneficial

• Creative thinking about the risks and benefits of new technologies, beyond past checklists and playbooks

• A track record of staying current with emerging AI research and industry trends

Strong candidates may also have:

• 10+ years technical experience

• 5+ years managing AI technical teams in hypergrowth

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What you'll do

• Bring the vision of the artists and designers to life.
• Design and write the code that runs and controls the game, incorporating and adapting existing libraries and writing custom code

What you need

• Proficiency with C++ and experience in object-oriented design and implementation

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