Front Door Defense

Scale AI is seeking a Senior Software Engineer, Identity, in London to design and implement scalable identity infrastructure for secure authentication and authorization across enterprise systems. You will own identity tooling and contribute to the architecture of SSO, MFA, and federated identity solutions. You will collaborate across teams, drive security governance, and apply knowledge of OAuth/OIDC, SAML, JWT, and RBAC/ABAC models to deliver reliable access control in a distributed cloud

Senior Software Engineer, Identity Design and implement scalable identity infrastructure for secure authentication and authorization. Location: London, England, United Kingdom Job Tags: Software About The Role Senior Software Engineer, Identity London, UK At the foundation of these products is the Identity Engineering team. In this role, you will help support the design and development of core software systems specifically focused on identity, access management, authorization, and authentication. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the design, and implementation of our identity infrastructure to ensure secure authentication and authorization across enterprise systems. Build software for authentication mechanisms such as Single Sign-On (SSO), Multi-Factor Authentication (MFA), and federated identity solutions (SAML, OAuth, OpenID Connect). Build software for authorization mechanisms such as Relation-based access control (ReBAC), Attribute-based access control (ABAC), Role-based access control (RBAC). Build software defined identity governance policies to ensure compliance with security policies, industry regulations (e.g., NIST, SOC2, ISO 27001), and organizational standards. Present technical information to teams and stakeholders, providing guidance and insight on identity management and best practices. Ideally you'd have: 5+ years of full time engineering experience, post graduation with specialities in infrastructure and identity systems. Infrastructure expertise - IAM controls, Infrastructure as Code (Terraform, Pulumi), microservice deployment best practices. Hands on experience working with OpenFGA, Authzed, Cedar, Topaz, or similar authorization frameworks at scale. Strong understanding of Zanzibar based ReBAC models, relationship tuples, and access control evaluation. Strong knowledge of authentication standards such as OAuth 2.0, OIDC, SAML, and JWT, as well as industry standard IdP solutions like EntraID, Okta, etc. Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred). Show a track record of independent ownership of successful engineering projects. Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders. Nice to haves: Experience securing API access and implementing access control mechanisms at the application level. Multi cloud infrastructure experience - AWS, Azure, GCP, and more. Proficiency in integrating IAM solutions with applications built using frameworks such as Java, Python, Node.js, or .NET. Mentorship/leadership experience supporting junior engineers PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Senior Staff Technical Program Manager (r5370) Location: London, England, United Kingdom About The Role Founded in 2015, Shield AI is a venture backed defense tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V BAT and X BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia Pacific, Shield AI's technology actively supports operations worldwide. Job Description As Senior Technical Program Manager you will be responsible for ensuring the quality of Hivemind Enterprise, a software development kit that enables both Shield AI and third parties to create a new generation of unmanned systems and mission applications that deliver transformative capabilities for the U.S. and its allies. You will work with sponsors, product managers, designers and a talented cross functional engineering team to lead on time, on quality software releases. This Technical Program Manager role requires a versatile individual who can plan and manage complex software test automation projects and flight test operations. What you'll do Drive the planning, execution, and delivery of complex software releases for the Hivemind Enterprise platform Drive major initiatives building out rigorous simulation based test automation for autonomy software Drive large complex test operations from CI through HIL and flight test Collaborate with cross functional teams, including engineering, product management, and customer engagement, to define test scope, objectives, and deliverables Develop detailed project plans, including timelines, milestones, and resource allocation, ensuring adherence to budget and schedule Monitor project progress, identify risks, and implement mitigation strategies to ensure successful project completion Facilitate regular communication with stakeholders, providing updates on project status, challenges, and accomplishments Drive continuous improvement in project management processes, tools, and methodologies Foster a culture of innovation, collaboration, and excellence within the program management team Facilitate technical decision making to appropriately prioritize work and make complex trades Reinforce Shield AI's reputation for technical excellence and ability to deliver through expert engagement and disciplined execution Required qualifications B.S. in Computer Science, or a related field with 8+ years of work experience in Program Management, Engineering Management or Software Test Engineering; alternative degrees are acceptable if professional experience is focused in testing Enterprise Software, Artificial Intelligence, or Robotics Experience driving testing of complex software and integrated HW/SW systems Experience driving release management and software test operations You have a track record of driving results, not just providing status You have solid technical foundations in test engineering and software development, with deep knowledge of how to optimize the software development lifecycle You have the ability to recognize efficiency and inefficiency in projects and prioritize remedies based on accurate cost benefit analysis You are an exceptional, fundamentals driven problem solver and communicator You have a demonstrated record of setting and achieving goals in dynamic environments, working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others Excellent leadership, communication, and interpersonal skills Power user of Jira or work management tools Preferred qualifications Advanced degree in Computer Science or MBA Previous experience as a software developer or a test engineer Previous experience driving software releases or test operations for enterprise software used by software engineers Passionate about software documentation Autonomy, AI, ML expertise PMP, Scrum Master, or similar qualification Benefits Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner.

Shield AI in London seeks a Senior Staff Technical Program Manager to drive complex software releases of the Hivemind Enterprise platform, lead automation efforts, and manage flight-test oriented test operations. You will coordinate with sponsors, product managers, and engineering teams to deliver on time, with quality. The role requires deep test engineering knowledge, strong leadership, and experience in CI/HIL environments, guiding stakeholders through risk and tradeoffs to successful

Technical Program Manager, Platform Lead end-to-end delivery of Scale Generative AI Platform initiatives from scope to adoption Location: London Job Tags: Product About The Role As a Technical Program Manager for the Platform team, you will partner with engineering teams to directly accelerate the development and maturity of the Scale Generative AI Platform (SGP). We are looking for a TPM who has actively built and shipped products in the past and understands how to deliver robust, scalable developer tooling and distributed systems. In this role, you will own the strategic alignment and end-to-end execution of our most critical infrastructure initiatives-from initial scoping to measurable, company-wide and customer-ready adoption. You will serve as the core communication backbone and connective tissue between platform engineering, product teams, and executive leadership. Operating in a hyper-growth, demanding AI environment, you will translate SGP's architectural complexities into clear execution strategies, unblock engineering bottlenecks, proactively mitigate deployment risks, and ensure our foundational platforms deliver reliable, performant, and secure systems capable of global-scale deployment. Key Responsibilities Lead strategic planning and high-velocity execution for SGP core capabilities (orchestration layers, model serving, APIs). Manage features from technical scoping and architecture design through production launch. Drive execution and manage complex technical dependencies across systems engineering, Core ML, Research, and Product teams to deliver unified SGP capabilities with architectural consistency. Translate complex infrastructure metrics (LLM inference optimization, GPU utilization, compute orchestration) into actionable roadmaps. Map demands like multi-tenancy, data privacy, and isolation into platform features. Proactively identify, track, and mitigate technical risks unique to massive-scale GenAI infrastructure and global SGP deployments, maintaining momentum despite fast-evolving AI frameworks. Establish lightweight agile processes that empower engineers to ship fast without breaking core systems. Define and enforce clear SLOs and performance benchmarks to guarantee production-grade reliability for clients. Track and report on SGP adoption metrics, system reliability, delivery forecasts, and engineering bottlenecks directly to executive leadership to ensure the platform scales responsibly. Minimum Qualifications 5+ years of experience as a Technical Program Manager, Product Manager, or Software Engineer, with a proven track record of having built and shipped technical products or platforms from scratch (e.g., internal cloud infrastructure, developer APIs, distributed systems, or ML platforms). 3+ years of dedicated experience managing programs focused directly on core engineering infrastructure, cloud-native ecosystems (AWS/GCP), container orchestration (Kubernetes), or distributed systems. Foundational understanding of the infrastructure required for the Generative AI lifecycle, including high-throughput data pipelines, GPU/CPU cluster utilization, or model training/evaluation setups. Proven track record of presenting to and influencing executive-level stakeholders, with the ability to translate complex technical/architectural challenges into clear business impacts. Advanced proficiency with iterative development methodologies and modern project management tooling (Linear, Jira, etc.) applied to foundational infrastructure environments. Nice-to-Have Qualifications Strong software engineering fundamentals, with prior professional experience as a Software Engineer, DevOps Engineer, or Data Developer before transitioning into program management. Proven success driving the internal adoption of technical platforms, SDKs, or APIs across disparate, fast-moving product lines. Direct experience working with large-scale data quality pipelines, distributed vector databases, or specialized AI inference engines (e.g., Triton, Ray). We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . We comply with the United States Department of Labor's Pay Transparency provision.

Technical Program Manager, Enterprise Own end-to-end enterprise program delivery for frontier agent engineering initiatives at Scale AI London About The Role As a Technical Program Manager, you will partner with our Frontier Agent Engineering teams on enterprise customer engagements - owning operational execution and delivery of our technical work by managing timelines, milestones, risks, and dependencies across technical deliverables. You will drive the strategic alignment and end-to-end execution of our most critical Enterprise initiatives. This is a high-leverage, technical leadership role where you will own program delivery from initial scoping to measurable, enterprise-wide adoption. You will serve as the core communication backbone and connective tissue between engineering, product, and executive leadership. You are not just managing timelines; you are accountable for systemic, measurable outcomes, driving efficiency across the full agentic application development process. Operating in a hyper-growth, demanding AI environment, you will translate technical complexity into clear execution strategies, proactively mitigate risks, and ensure our engineering teams deliver reliable, high-value solutions at scale. Key Responsibilities End-to-End Program Ownership: Own the strategic planning, scheduling, and high-velocity execution of multiple enterprise-grade programs, ensuring on-time delivery against aggressive product goals. Run weekly cross-functional syncs, surface blockers, drive decisions. Cross-Functional Architecture Integration: Manage complex dependencies and technical communication across core teams (e.g., Platform, Forward Deployed Engineering, Product) to seamlessly deliver frontier agents to our enterprise customers. Technical Translation & Executive Influence: Synthesize deep technical complexities into concise, actionable insights for both engineers and C-suite stakeholders. Drive absolute clarity across the delivery team regarding priorities, risks, and strategic outcomes. Risk & Dependency Mitigation: Proactively identify, track, and architect mitigations for technical risks unique to enterprise AI deployment, maintaining momentum in the face of ambiguity. Process Evolution: Modernize and scale agile execution frameworks (e.g., Jira, Linear) to support rapid, iterative machine learning and software development lifecycles. Metrics-Driven Accountability: Define, track, and report on key program health metrics, delivery forecasts, and engineering bottlenecks directly to executive leadership. Minimum Qualifications End-to-End Program Ownership: 5+ years of experience as a Technical Program Manager or in a technical leadership role managing complex, large-scale software engineering or machine learning development projects. Cross-Functional Architecture Integration: 2+ years of dedicated experience managing programs focused directly on core engineering infrastructure, platform services, or distributed systems. Technical Translation & Executive Influence: Strong foundational understanding of the Generative AI lifecycle, including LLM utilization for structured downstream tasks, model fine-tuning, and performance evaluation. Risk & Dependency Mitigation: Proven track record of presenting to and influencing executive-level stakeholders, with the ability to translate complex technical challenges into clear business impacts. Process Evolution: Advanced proficiency with iterative development methodologies and modern project management tooling (Jira, Linear, etc.). Metrics-Driven Accountability: An insatiable appetite for learning and deeply engaging with modern ML/GenAI practices and infrastructure. Nice-to-Have Qualifications End-to-End Program Ownership: Strong software engineering fundamentals, ideally with prior professional experience as a software engineer or data developer before transitioning into program management. Cross-Functional Architecture Integration: Proven success driving the internal adoption of technical platforms, SDKs, or APIs across disparate product lines or independent business units. Technical Translation & Executive Influence: Direct experience working with data quality pipelines, LLM-as-a-judge evaluation frameworks, or automated RLHF systems. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.

Scale is seeking a Technical Program Manager for the Platform team in London to drive end-to-end delivery of the Scale Generative AI Platform. You will partner with engineering to accelerate development, build robust dev tooling, and ensure secure, scalable systems for global deployment. You will translate architecture into clear execution plans, manage dependencies across teams, define SLOs, track adoption metrics, and report to leadership.

Scale GP is seeking a Sr Staff ML Forward Deployed Engineer to own and scale enterprise GenAI features across the Scale GP platform in London. You will work across backend, frontend, and LLM interactions, delivering rapid experiments and shaping product growth for an enterprise-grade GenAI system. You should have 7+ years of experience, be adept with Python/JS/TS and SQL, and be comfortable with Kubernetes and cloud providers.

Sr Staff ML Forward Deployed Engineer, Enterprise Genai Own and scale enterprise GenAI features across Scale GP platform Location: London Job Tags: Software About The Role Sr Staff ML Forward Deployed Engineer, Enterprise GenAI London, UK Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: Own large new areas within our product Work across backend, frontend, and interacting with LLMs and ML models Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Be able, and willing, to multi-task and learn new technologies quickly Ideally you'd have: 7+ years of full-time engineering experience, post-graduation Experience scaling products at hyper growth startups Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies Proficient in Python or Javascript/Typescript, and SQL Experience with Kubernetes Experience with major cloud providers (AWS, Azure, GCP) PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Front Door Defense is seeking a Forward Deployed Engineer to own the technical execution of projects, working directly with defence and government customers. This role entails integrating innovative vehicle intelligence solutions into challenging operational environments, requiring a strong engineering background and programming proficiency. Ideal candidates will have experience in software engineering, system deployment, and possess excellent problem-solving and communication skills. This position comes with the need for UK Security Clearance and a willingness to travel.