As businesses rush to harness the potential of Generative AI, Scale is leading the way, transforming workflows, automating complex processes, and driving real-world impact for the world’s largest enterprises and government organizations.

Our Scale Generative AI Platform (SGP) powers production-grade GenAI applications with foundational services, APIs, and infrastructure that accelerate adoption across industries.

We are looking for a technical and strategic Engineering Manager to lead our European FDE team.

This is a high-ownership role at a pivotal moment. You will be responsible for delivering high-impact GenAI solutions in production, leading a team that works directly with customers, and ensuring we solve real problems with clarity, speed, and excellence.

Why this role is unique:

• Right place, right time: We are moving from prototypes to production at scale. Our FDE team is on the front lines of this transition, helping customers adopt AI faster and with more confidence.

• Customer-first mindset: You will foster a culture of deep customer empathy and practical problem-solving. From scoping use cases to shipping solutions, your team will be responsible for every step of the delivery lifecycle.

• Strategic influence: The lessons from forward-deployed efforts directly inform our core product roadmap. You will work closely with Product and Platform teams to identify patterns, prioritize improvements, and shape the evolution of SGP.

• Operational excellence: You will bring structure to delivery, improve execution, and scale our engineering operations in a fast-moving environment.

This is a rare opportunity to help define how the next generation of AI applications is built and deployed.

If you are excited by the pace of innovation in GenAI, passionate about solving real-world problems, and ready to lead a team that is redefining enterprise AI delivery, we want to hear from you.

At Scale, we do not just follow AI breakthroughs. We deliver them. Join us and be part of the team shaping the future of AI in the enterprise.

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The Trust Platform team is responsible for protecting our community and platform from fraud while also ensuring our hosts, guests, homes, and experiences meet our high standards. We constantly work to fight against online fraud (such as monetary loss, compromised accounts, spam and scam in messages, fake inventory, etc.) as well as offline fraud (theft, property damage, personal safety, etc.).

As a senior software engineer on this team, you will be deeply involved in building highly available and real-time risk detection services in close collaboration with product, data science and operations teams to understand ever-evolving attack vectors and to make Airbnb the most safe and trusted community.

Responsibilities:

• Design, implement, and operate resilient and scalable distributed systems
• Build and evolve platform capabilities to tackle the changing landscape of fraud attacks by collaborating with engineering teams in Airbnb’s Trust, Payment and CSP organizations.
• Provide critical input in Trust Platform’s team roadmap and technical direction.
• Identify opportunities to improve the reliability, scalability, and efficiency of Trust Platform services and drive their implementation.
• Mentor other engineers in developing their technical and collaboration skills
• Advocate and participate in efforts to advance Airbnb’s engineering processes and technical foundations.

Your Expertise:

• 5-9+ years of industry experience
• BS/MS/PhD in Computer Science, a related field, or equivalent work experience
• Proficiency in one or more backend languages (Java/Ruby/Kotlin etc). Familiarity with Scala is a plus.
• Experience with service-oriented architectures and developing large-scale distributed systems.
• Experience with platform architecture patterns and best practices.
• Hands on experience leading project teams and setting technical direction.
• Experience with the Trust and Risk domain.
• Experience with building and leading infrastructure is a plus.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process.

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You will be directly working with customers to guide and influence their data warehousing architecture and decisions. You will be acting as a trusted advisor for senior executives and your in-depth technical knowledge will ensure our customers are successful in leveraging Databricks to solve their business problems.

You will be the technical expert to support our field engineering teams internally and you will be expected to help enable the team to understand the key differentiators of our product against our competitors.

You will partner with the Product Manager(s) to help to define the product direction based on local knowledge and inform our product strategy with our go-to-market field teams.

You will not have any direct reports but will recruit and lead a group of specialists across the field dedicated to scale your impact.

You will also be a thought leader externally to the market via speaking at conferences, online webinars, and blog posts.

You will meet with customers to communicate the vision and gather feedback.

You have expertise in cloud-based data warehousing technologies, modern data platform architectures, traditional data warehousing techniques, and preferably industry domain knowledge.

You will excel in creating and articulating a compelling value proposition for our customers and enabling Account Executives and Field Engineers to operate effectively using best practices and assets that you own and develop.

The impact you will have:

• Lead the vision and strategy for Data Warehousing Adoption in Asia Pacific and Japan

• Develop materials for our GTM team to effectively communicate our value proposition

• Support our field teams in key strategic pursuit opportunities

• Lead a team of subject matter experts (SMEs) to scale your impact in local regions and enable the broader field team to have confidence in competing in the market

• Act as the thought leader to build confidence and relationships with our customers at the executive level

• Present externally at conferences, events, and webinars and publish content to establish our position in the market

• Work with post sales and partners to establish migration best practices

• Act as a cross-functional representative with Product Management, Product Marketing, and Engineering on our go-to-market motion

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This role requires deep experience in platform architecture and integration, hands-on fluency with AI agent capabilities, and a clear-eyed understanding of what enterprise customers need to run Airtable as mission-critical infrastructure.

Responsibilities:

• Lead and scale a high-performing team of Technical Account Managers who serve as the persistent technical authority for Premium accounts , ensuring customer environments are built to fully leverage Airtable's platform, including Field Agents, Omni, automation architecture, and the connected data structures that make intelligent workflows perform at scale.

• Own the team's technical depth across Airtable's agent capabilities , including Field Agent configuration, data semantics, schema design, MCP connectivity, and automation architecture , so TAMs can guide customers through key architectural decisions and implementation.

• Coach and mentor Managers and ICs, building architectural judgment and platform fluency across the team. Foster a culture of ownership and continuous learning that keeps pace with Airtable's rapid product evolution.

• Establish and evolve frameworks for how TAMs assess and improve the technical health of Premium accounts , evaluating agent configurations, data semantics, integration coverage, and automation architecture against the full capability of the platform.

• Engage directly with customers during critical technical projects or escalations, diagnosing root cause, proposing structural remediation, and representing Airtable as a calm, expert partner.

• Partner across Sales, Customer Success, and Support to maintain clear ownership boundaries and identify high-value accounts for Premium Support , articulating the TAM value proposition in terms of architectural depth, agent reliability, and long-term technical health.

• Drive program development and influence product direction by iterating on delivery models and surfacing patterns around friction, gaps, or constraints that limit how customers realise value from Airtable's capabilities.

• Leverage data and KPIs (e.g., technical health scores, automation adoption, integration depth, CSAT) to inform decisions, measure success, and prioritise team focus.

Who you are:

• You have 10+ years in technical support, solution architecture, or technical account management roles, including at least 5+ years leading enterprise-facing technical teams.

• You bring a solutions-architect mindset, with the ability to evaluate a customer's existing build, identify structural risk, and prescribe scalable improvements , translating complex technical requirements into concrete, actionable plans. You've done this in platform or integration-heavy SaaS environments where customers require ongoing architectural guidance to realise full product value.

• You use AI heavily in your own work , not experimentally, but as a core part of how you operate. You have strong intuition for which tools and approaches extract real value, and you build that thinking into the workflows, playbooks, and frameworks you create for your team.

• You have working fluency in AI architecture concepts relevant to enterprise customers: agent frameworks, MCP connectivity, automation pipelines, and schema design that supports AI-powered workflows.

• You're a strategic leader and strong operator, known for building scalable frameworks that allow your team to deliver consistent technical value across a complex account portfolio , and for developing the technical depth and architectural judgment of the people around you.

• You are calm and confident under pressure, especially in high-stakes technical escalations, and you balance immediate resolution with long-term architectural remediation.

• You possess exceptional written and verbal communication skills, with the ability to make complex architectural trade-offs legible to audiences ranging from developers and data architects to leadership and executive sponsors.

• You're analytical and comfortable making data-informed decisions, using technical health signals and program metrics to prioritise resources and identify opportunities for evolution.

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The Enterprise SaaS team owns the collaboration and productivity platforms every person at Anthropic touches every day , Google Workspace, Slack, and the surrounding ecosystem of enterprise tools. We're responsible for tenant-wide architecture, API-level integration, and the governance that keeps these platforms secure and scalable as the company doubles and doubles again.

You'll make the architecture decisions that shape how thousands of people work: data governance for collaboration content, the application side of SSO and SCIM provisioning, and the integrations that fill gaps the vendors left open. You'll write Python against SaaS APIs where the admin console stops, and you'll be the final escalation tier when the vendor docs stop helping. The scope is the full collaboration stack , cloud infrastructure and endpoints live with separate teams, so this role goes deep rather than wide.

If you've hit the ceiling of what the admin console can do and started solving problems in code, this is that job. You'll partner closely with IT Operations, Security, and the IAM team on the identity and access layer everything else depends on. This role is high-autonomy: you'll define tenant architecture, write the integrations, and represent the SaaS platform across IT. Your work will directly shape how we scale to AI Safety Level 4 and beyond.

Responsibilities

• Own tenant-wide architecture for Google Workspace, Slack, and core collaboration platforms

• Design compartmentalization and data-governance models that scale with the company

• Build integrations and automation against SaaS APIs to automate provisioning and catch drift

• Configure the application side of SSO connections and SCIM attribute mappings

• Serve as the final escalation tier for platform issues Support can't resolve

• Lead vendor relationships , roadmap influence, escalation paths, engineering-level dialogue

• Partner with Corporate Security on SaaS hardening, third-party app governance, and compliance controls

• Own platform configuration as code , auditable, repeatable, and version-controlled

You may be a good fit if you

• Have 8+ years building secure IT systems in complex environments

• Excel at solving ambiguous problems with multiple stakeholders

• Communicate technical concepts clearly to any audience

• View IT Engineering as requiring product engineering rigor

• Successfully deliver complex projects from conception to production

• Write clear documentation as a natural part of your workflow

• Have deep, hands-on experience with enterprise administration of Google Workspace and Slack

• Have built integrations against SaaS APIs, not just configured through consoles

• Have been the final escalation tier

Strong candidates may also

• Have transformed traditional IT operations into engineering-driven organisations

• Have built strong partnerships with Security and Engineering teams

• Practice modern development methods (code reviews, testing, CI/CD)

• Work effectively in distributed teams

• Have experience with Infrastructure as Code approaches to SaaS configuration

• Have designed data governance or access controls for collaboration platforms

• Have experience with SCIM provisioning and SSO federation from the application side

• Have participated in M&A initiatives and led post-acquisition tenant consolidation , merging collaboration platforms, reconciling identity, migrating data

Technical Skills

Deep, hands-on experience with:

• Programming against SaaS APIs and SaaS API integrations

• Google Workspace administration

• Slack administration and APIs

• Identity protocols (SAML, OAuth, OIDC, SCIM)

• Enterprise collaboration platform architecture

• Security and compliance frameworks

Salary

The annual compensation range for this role is $275,000-$325,000 USD.

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You will work across engineering, security, and product teams to ensure our digital infrastructure is secure, scalable, and ready to support emerging mission demands.

Key responsibilities include:

• Design, deploy, and maintain enterprise cloud landing zones, security and infrastructure tooling.
• Collaborate with teams across the U.S. and Australia to enable secure connectivity between other sovereign cloud environments.
• Partner with government customers, authorizing officials (AOs), cybersecurity teams, and policy shops to accelerate accreditation, break through legacy barriers, and unlock access for cross-nation engineering teams.
• Implement infrastructure automation (IaC), observability tooling, and secure configuration baselines to support scalable, repeatable environment builds.
• Work closely with product, autonomy, Lattice, and Maritime engineering teams to integrate infrastructure capabilities with platform development, testing, and deployment workflows.
• Act as a technical leader during environment standup, troubleshooting, and validation events; ensure classified systems perform reliably in support of mission-critical needs.
• Support development of next-generation secure architectures for multinational development, data sharing, and mission system integration across Maritime platforms.
• Serve as a technical representative during customer events, exercises, and operational demonstrations to ensure infrastructure readiness and mission success.

Required qualifications include:

• Ability to obtain and maintain a UK security clearance to SC level.
• Bachelor's degree in a STEM field or equivalent engineering experience.
• Technical depth in one or more areas, including cloud infrastructure, secure networking, systems engineering, DevSecOps, platform architecture, cybersecurity, identity & access management.
• Specific technology includes: cloud - AWS, Azure; infrastructure as code - Terraform, CloudFormation; SCM - GitHub Enterprise; CI/CD - CircleCI, Gitlab; IDAM + SSO - Okta, AWS Identity Center.
• 8+ years of relevant engineering, infrastructure, or technical program execution experience.
• Willingness to travel domestically and internationally as required.

Preferred qualifications include:

• Experience with secure systems engineering, ideally within UK Government or Defence.
• Experience provisioning large enterprise cloud platforms for hundreds or thousands of users.
• Experience designing or maintaining distributed systems, secure networks, or infrastructure supporting autonomy, AI/ML, or big data workloads.
• Demonstrated ability to work across technical disciplines, influence without authority, and operate in ambiguous and fast-paced environments.
• Experience working with international partners or navigating multi-nation technical or policy workflows.

The salary range for this role is competitive and includes highly competitive equity grants as part of Anduril's total compensation package.

Additional benefits include:

• Comprehensive medical, dental, and vision plans at little to no cost to you.
• Generous time off, including a holiday hiatus in December.
• Family planning & parenting support, including coverage for fertility treatments and adoption.
• Mental health resources, including access to free therapy and life coaching.
• Professional development opportunities, including annual reimbursement for professional development.
• Commuter benefits and relocation assistance.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.

About The Role

The Enterprise SaaS team owns the collaboration and productivity platforms every person at Anthropic touches every day , Google Workspace, Slack, and the surrounding ecosystem of enterprise tools. We're responsible for tenant-wide architecture, API-level integration, and the governance that keeps these platforms secure and scalable as the company doubles and doubles again.

You'll make the architecture decisions that shape how thousands of people work: data governance for collaboration content, the application side of SSO and SCIM provisioning, and the integrations that fill gaps the vendors left open. You'll write Python against SaaS APIs where the admin console stops, and you'll be the final escalation tier when the vendor docs stop helping. The scope is the full collaboration stack , cloud infrastructure and endpoints live with separate teams, so this role goes deep rather than wide.

If you've hit the ceiling of what the admin console can do and started solving problems in code, this is that job. You'll partner closely with IT Operations, Security, and the IAM team on the identity and access layer everything else depends on. This role is high-autonomy: you'll define tenant architecture, write the integrations, and represent the SaaS platform across IT. Your work will directly shape how we scale to AI Safety Level 4 and beyond.

Responsibilities

• Own tenant-wide architecture for Google Workspace, Slack, and core collaboration platforms

• Design compartmentalization and data-governance models that scale with the company

• Build integrations and automation against SaaS APIs to automate provisioning and catch drift

• Configure the application side of SSO connections and SCIM attribute mappings

• Serve as the final escalation tier for platform issues Support can't resolve

• Lead vendor relationships , roadmap influence, escalation paths, engineering-level dialogue

• Partner with Corporate Security on SaaS hardening, third-party app governance, and compliance controls

• Own platform configuration as code , auditable, repeatable, and version-controlled

You may be a good fit if you

• Have 8+ years building secure IT systems in complex environments

• Excel at solving ambiguous problems with multiple stakeholders

• Communicate technical concepts clearly to any audience

• View IT Engineering as requiring product engineering rigor

• Successfully deliver complex projects from conception to production

• Write clear documentation as a natural part of your workflow

• Have deep, hands-on experience with enterprise administration of Google Workspace and Slack

• Have built integrations against SaaS APIs, not just configured through consoles

• Have been the final escalation tier

Strong candidates may also

• Have transformed traditional IT operations into engineering-driven organizations

• Have built strong partnerships with Security and Engineering teams

• Practice modern development methods (code reviews, testing, CI/CD)

• Work effectively in distributed teams

• Have experience with Infrastructure as Code approaches to SaaS configuration

• Have designed data governance or access controls for collaboration platforms

• Have experience with SCIM provisioning and SSO federation from the application side

• Have participated in M&A initiatives and led post-acquisition tenant consolidation , merging collaboration platforms, reconciling identity, migrating data

Technical Skills

Deep, hands-on experience with:

• Programming against SaaS APIs and SaaS API integrations

• Google Workspace administration

• Slack administration and APIs

• Identity protocols (SAML, OAuth, OIDC, SCIM)

• Enterprise collaboration platform architecture

• Security and compliance frameworks

Salary

The annual compensation range for this role is $275,000-$325,000 USD.

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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We are building infrastructure that enables the world's largest financial institutions,banks, broker-dealers, fintechs, and payments companies,to offer digital asset services to their end clients. Think banking-as-a-service, but for crypto custody, trading, staking, and more.

This is an opportunity to grow as an engineer while contributing to a platform that will power the next generation of institutional digital asset adoption. You'll work at the intersection of cutting-edge crypto technology and the rigorous standards required by regulated financial services.

As an engineer on this team, you will contribute to the technical direction of our infrastructure services platform, collaborate with experienced engineers, and help build critical systems. You'll own features from development through deployment and deepen your expertise in financial infrastructure.

Technical Skills:

• Develop and maintain infrastructure that powers digital asset custody, trading, staking, and settlement for enterprise financial institutions
• Contribute to virtual accounting layers, API integrations, and multi-tenant platform architectures with guidance from senior engineers
• Write clear, concise, tested code and participate in code reviews to improve engineering practices
• Build understanding of security, reliability, and testing best practices in a regulated environment

Complexity and Impact of Work:

• Take ownership of the full lifecycle of features,from development through deployment,with increasing autonomy over time
• Apply problem-solving skills to troubleshoot issues, document technical improvements, and contribute to solutions
• Contribute to cross-functional projects and collaborate with adjacent teams to deliver on platform goals
• Participate in on-call rotation to provide product support for the software and infrastructure the team owns

Organizational Knowledge:

• Understand how Anchorage's company priorities relate to your area of work and clearly communicate the 'why' behind the work
• Work closely with compliance, legal, and security teams to understand regulatory requirements affecting the platform
• Participate in the hiring process through referrals, conducting interviews, or attending recruiting events

Communication and Influence:

• Communicate clearly and proactively share updates that impact colleagues, managers, and leads
• Contribute actively to team discussions and problem-solving efforts
• Collaborate with your team and adjacent teams to solve problems, and assist or teach other team members when possible

You may be a fit for this role if you have:

• 2-5 years of professional experience building backend services and distributed systems
• Experience contributing to customer-facing APIs or multi-tenant platform architectures
• Familiarity with cloud-native microservices (we use GCP, but experience with other cloud providers is sufficient)
• A track record of writing automated tests alongside your features and supporting production systems
• Experience participating in on-call support and incident response for production systems
• Strong computer science fundamentals (algorithms, data structures, systems design),formal CS degree not required
• A genuine interest in code quality, infrastructure reliability, and security
• The ability to prioritize end-user experience and business value

Although not a requirement, bonus points if:

• Professional experience with C++, Go, or Rust
• Experience with Kubernetes and container orchestration
• Exposure to ledger systems, virtual accounting layers, or custody infrastructure
• Background in financial services, fintech, or banking-as-a-service platforms
• Experience with system security (authentication, authorization, identity management)
• Familiarity with regulatory requirements for financial institutions (SOC 2, bank examinations, etc.)
• Interest in or exposure to the cryptocurrency or digital assets industry

Additional Information About Anchorage Digital:

Who we are The Anchorage Village, what we call our team, brings together the brightest minds from platform security, financial services, and distributed ledger technology to provide the building blocks that empower institutions to safely participate in the evolving digital asset ecosystem.

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We are building infrastructure that enables the world's largest financial institutions,banks, broker-dealers, fintechs, and payments companies,to offer digital asset services to their end clients.

This is a greenfield opportunity to architect and build a platform that will power the next generation of institutional digital asset adoption.

As an engineer on this team, you will drive the technical direction of our infrastructure services platform, mentor other engineers, and help shape the product roadmap.

Technical Skills:

• Build secure, scalable infrastructure that powers digital asset custody, trading, staking, and settlement for enterprise financial institutions
• Design and implement virtual accounting layers, API integrations, and multi-tenant platform architectures
• Drive technical excellence through code reviews, design specs, and mentorship across the engineering organization
• Foster an efficient testing culture with emphasis on security, reliability, and minimizing tech debt in a regulated environment

Complexity and Impact of Work:

• Lead complex cross-functional projects spanning custody, trading, compliance, and client integration
• Break down large initiatives into well-scoped deliverables; accurately estimate multi-person, multi-quarter projects
• Own the end-to-end lifecycle of platform features,from architecture through production support and on-call rotation
• Find the right balance between shipping velocity and the perfection required for regulated financial infrastructure

Organizational Knowledge:

• Collaborate across product lines and with enterprise clients to understand and deliver on their infrastructure needs
• Work closely with compliance, legal, and security teams to ensure platform meets regulatory requirements
• Contribute to scaling the team through hiring, onboarding, and knowledge sharing

Communication and Influence:

• Influence architecture decisions and product roadmap,have a seat at the table with leadership
• Mentor and guide engineers on the team; help others connect their work to Anchorage's strategic goals
• Communicate effectively with external stakeholders, including enterprise clients and partners

You may be a fit for this role if you have:

• 8+ years of professional experience building backend services and distributed systems
• Experience designing and delivering customer-facing APIs and multi-tenant platform architectures
• Experience with cloud-native microservices (we use GCP, but experience with other cloud providers is sufficient)
• A track record of building automated tests alongside your features and maintaining production systems over time
• Experience performing on-call support and incident response for production systems
• Strong computer science fundamentals (algorithms, data structures, systems design),formal CS degree not required
• A genuine interest in code quality, infrastructure reliability, and security
• The ability to prioritize end-user experience and business value over 'cool tech'

Although not a requirement, bonus points if:

• Professional experience with C++, Go, or Rust
• Professional experience with Kubernetes and container orchestration
• Experience building ledger systems, virtual accounting layers, or custody infrastructure
• Background in financial services, fintech, or banking-as-a-service platforms
• Experience with system security (authentication, authorization, identity management, API keys)
• Familiarity with regulatory requirements for financial institutions (SOC 2, bank examinations, etc.)
• Background in the cryptocurrency or digital assets industry
• You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system.

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We are seeking a Technical Program Manager to help define, track, and drive end-to-end solutions covering the entire silicon and product life cycle for Automotive and DataCenter platforms.

For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU, we also set the stage for advances in robotics, computer vision, and artificial intelligence. Today NVIDIA is building a platform and solutions for Robotics, Autonomous Machines, and DataCenter making it a phenomenal time to join our company and this team.

What you’ll be doing:

• Lead and track all aspects of planning and implementation for Tegra Diagnostic software, including coordinating the Tegra Diagnostic Plan of Recorder for Silicon and Platform bring-up through productization.

• Partner with multi-functional engineering leads to drive technical, logistical activities, handle complex project schedules, remove roadblocks, and ensure on-time delivery of hardware and system achievements.

• Ensure teams deliver all required collaterals for the SW Product Lifecycle process

• Act as the focal point for program execution by scheduling and leading status meetings and presenting progress, risks, and dependencies across global stakeholders

• Work Partner closely with product teams to define and prioritize platform and silicon bring-up requirements.

What we need to see:

• Bachelors or master’s degree in computer/Electronics engineering or related field (or equivalent experience)

• 4+ overall years of proven experience in both software project and program management or related roles

• Deep understanding of the SW development life cycle

• Ability to work effectively with multi-functional, globally distributed engineering teams

• Experience gathering and analyzing data to support management decision-making and risk assessment.

Ways to stand out from the crowd:

• Proven track record in software development

• Experience with Pre-Silicon/Post-Silicon bring-up of SoC or Platform

• Understanding of silicon and platform validation and characterization process, SOC micro-architecture, platform architecture

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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Fuse Energy is seeking a Head of Engineering (Platform) to lead the development of our core backend systems and platform infrastructure. As a key member of our team, you will own the architecture and scalability of the platform, ensuring we build robust, high-performance systems that enable rapid product iteration and exceptional customer experiences.

Responsibilities

• Own the backend platform architecture, infrastructure, and foundational services
• Drive the evolution of our platform to support scale, performance, and reliability
• Build a real-time digital twin of renewable generation and customer demand
• Design and manage high-volume data pipelines for energy consumption and system telemetry
• Lead the development of integration layers and messaging interfaces with third-party services
• Establish engineering best practices for observability, CI/CD, testing, and scalability
• Partner closely with product and backend teams to support rapid development cycles

Requirements

• Proven track record as a senior software engineer or tech lead, ideally with platform/backend focus
• 5+ years experience in software engineering, with 2+ years in a leadership role
• Experience building and operating production-grade systems at scale
• Strong understanding of system design, distributed computing, and cloud infrastructure
• Clear and proactive communication, with the ability to align cross-functional teams
• Hands-on approach to solving problems and making strategic decisions

Bonus

• Experience with Infrastructure as Code (e.g., AWS CDK, Terraform)
• Experience with event-driven architecture, messaging queues, or stream processing
• Familiarity with building internal platforms or developer tooling

Benefits

• Competitive salary and an equity sign-on bonus
• Biannual bonus scheme
• Fully expensed tech to match your needs
• Paid annual leave
• Breakfast and dinner allowance for office based employees

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About the Team

We build foundational AI infrastructure that enables large-scale training and inference across diverse workloads and rapidly evolving hardware generations. Our work directly shapes how AI systems are designed, deployed, and scaled today and into the future. Engineers on this team operate with end-to-end ownership, deep technical rigor, and a strong bias toward real-world impact.

Microsoft Superintelligence Team

Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

Responsibilities

Lead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks. Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements. Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems. Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps. Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations. Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs. Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams. Mentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization.

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We pursue this mission through deep hardware–software co-design, combining rigorous systems thinking with hands-on engineering. The team invests heavily in understanding real production workloads large-scale training, inference, and emerging multimodal models and translating those insights into concrete improvements across the stack: from kernels, runtimes, and distributed systems, all the way down to silicon-level trade-offs and datacenter-scale architectures.

This role sits at the boundary between exploration and production. You will work closely with internal infrastructure, hardware, compiler, and product teams, as well as external partners across the hardware and systems ecosystem. Our operating model emphasizes rapid ideation and prototyping, followed by disciplined execution to drive high-leverage ideas into production systems that operate at massive scale.

In addition to delivering real-world impact on large-scale AI platforms, the team actively contributes to the broader research and engineering community. Our work aligns closely with leading communities in ML systems, distributed systems, computer architecture, and high-performance computing, and we regularly publish, prototype, and open-source impactful technologies where appropriate.

Microsoft Superintelligence Team Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact.

Responsibilities Lead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks.

Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements.

Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems.

Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps.

Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations.

Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs.

Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams.

Mentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization.

Qualifications Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Additional or Preferred Qualifications Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Strong background in one or more of the following areas: AI accelerator or GPU architectures Distributed systems and large-scale AI training/inference High-performance computing (HPC) and collective communications ML systems, runtimes, or compilers Performance modeling, benchmarking, and systems analysis Hardware–software co-design for AI workloads Proficiency in systems-level programming (e.g., C/C++, CUDA, Python) and performance-critical software development.

Proven ability to work across organizational boundaries and influence technical decisions involving multiple stakeholders. Experience designing or operating large-scale AI clusters for training or inference. Deep familiarity with LLMs, multimodal models, or recommendation systems, and their systems-level implications. Experience with accelerator interconnects and communication stacks (e.g., NCCL, MPI, RDMA, high-speed Ethernet or InfiniBand). Background in performance modeling and capacity planning for future hardware generations. Prior experience contributing to or leading hardware roadmaps, silicon bring-up, or platform architecture reviews. Publications, patents, or open-source contributions in systems, architecture, or ML systems are a plus.

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Location

San Francisco

Employment Type

Full time

Department

Compensation

• $302K – $335K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Role

OpenAI is building a dedicated Digital Natives vertical focused on high-growth technology and internet companies shaping the future of software. As a Sales Manager, you will recruit, develop, and lead a team of senior Account Directors responsible for landing and expanding OpenAI’s largest and most strategic Digital Native customers.

This is a foundational leadership role. You will define how we win in this segment — establishing the operating cadence, deal strategy, and vertical GTM playbook for engaging sophisticated, technically fluent buyers building AI into their core products.

You will operate as a hands-on front-line leader: deeply involved in complex opportunities, elevating sales discipline, and shaping how OpenAI scales enterprise revenue in the most dynamic segment of the market.

Key Responsibilities

• Recruit and develop a high-performing team of Account Directors.

• Establish a coaching culture centered on rigorous deal reviews, structured 1:1s, and clear performance standards.

• Raise the talent bar continuously through thoughtful hiring, development, and accountability.

• Architect and refine the GTM strategy for high-growth tech and internet companies.

• Shape territory design, account prioritization, and coverage models aligned to OpenAI’s evolving enterprise segmentation.

• Codify repeatable sales motions in a fast-changing AI landscape.

• Implement disciplined pipeline and forecast management practices with high data integrity.

• Set clear expectations around opportunity qualification, multi-threading, and deal quality.

• Balance new logo acquisition with strategic expansion and platform adoption.

• Coach teams through multi-product, multi-stakeholder opportunities involving APIs, platform integrations, and AI-enabled product innovation.

• Partner closely with security, legal, and compliance teams to navigate complex enterprise environments.

• Help customers translate AI capabilities into product differentiation, revenue acceleration, and operational leverage.

• Collaborate with Marketing to shape vertical messaging and demand generation strategy.

• Provide structured, prioritized feedback to Product on feature gaps, packaging, pricing, and competitive dynamics.

• Work with Finance on commercial structures that balance growth, margin, and risk.

• Align closely with Technical Success and post-sales teams to ensure strong implementation outcomes and durable expansion paths.

What Great Looks Like

• Builds from zero to one: establishes structure without bureaucracy.

• Develops senior sellers into strategic operators, not just quota carriers.

• Operates with forecast accuracy and commercial discipline.

• Wins complex, high-visibility deals in competitive markets.

• Elevates cross-functional standards through clarity, rigor, and low ego leadership.

What We’re Looking For

• 15+ years in enterprise sales or GTM leadership, including significant front-line management experience.

• Proven success leading enterprise motions in high-growth, technical markets.

• Experience building or scaling verticalized sales teams.

• Track record closing and expanding complex, multi-million dollar enterprise opportunities.

• Strong background in data-driven sales management and operational rigor.

• Technical fluency (APIs, platform architecture, AI/ML concepts) with the ability to engage CTOs, Heads of Product, and senior engineering leaders.

• Experience operating in non-standard or emerging GTM environments.

• Demonstrated ability to hire, coach, and retain top enterprise talent.

• Comfort with ambiguity and rapid iteration.

• Public company experience with high accountability standards.

• Experience in consumption-based or platform sales models.

• Exposure to AI-native or developer-first sales motions.

• Experience across both high-growth VC-backed environments and scalable enterprise organizations.

How to Apply

If you are a motivated and experienced sales leader looking to join a cutting-edge AI company, please submit your application, including your resume and a cover letter, to [insert contact information].

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About the Role

We are seeking a highly skilled cross-stack engineer with deep expertise in making ML systems reliable at scale. This hands-on individual contributor will sit within our hardware team and work closely with chip design, platform design, hardware health, and the broader industry ecosystem to architect, implement, and deploy reliable next-generation AI accelerator systems.

Responsibilities

• Oversee DFX architecture, implementation, and execution in silicon from concept to high-volume deployment, and propose high-ROI features to enhance reliability and fault tolerance. DFX includes design for testability, reliability, availability, and serviceability of high-performance AI hardware.

• Build system-level reliability models grounded in empirical data to guide organization-wide DFX and reliability strategy. This requires a detailed understanding of chip and system architecture, design, implementation, and component-level reliability.

• Collaborate with chip and platform architecture/design teams to explore and implement DFX features, including the specification and implementation of digital/mixed-signal IP, firmware/system software, and DFX methodology (in partnership with engineering teams).

• Partner with hardware health and platform design teams to continuously improve reliability and fault tolerance in NPI and HVM. This includes optimizing operating conditions, designing experiments, and performing data analysis to drive continuous, data-driven improvements across the stack.

• Serve as the DFX/reliability champion and evangelist to align the broader industry ecosystem with OpenAI’s requirements and roadmap.

Qualifications

• BS with 15+ years, MS with 10+ years, or PhD with 3+ years of relevant industry experience focused on reliability across the chip/platform stack.

• Hands-on experience with RTL design and DFT is required; physical implementation and/or silicon ATE experience is preferred.

• Detailed understanding of ML chip and platform architecture and ML workload characteristics is required.

• Strong fundamentals in reliability modeling, with hands-on skills in empirical data analysis.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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San Francisco; Seattle

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Knowledge Innovation team is scaling OpenAI with OpenAI. We are building an AI powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains.

The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale.

About the Role

We’re looking for Full Stack Engineers who're passionate about blending production-ready platform architecture with new tech and new paradigms. You’ll push the boundaries of OpenAI’s newest technologies to enable interactions and automations that are not only functional, but delightful. We value proactive, customer-centric engineers who can get the foundational details right (data models, architecture, security) in service of enabling great products.

In this role, you will:

• Own the end-to-end development lifecycle for new platform capabilities and integrations with other systems
• Collaborate closely with engineers, data scientists, information systems architects, and internal customers to understand their problems and implement effective solutions
• Work with product and research team to share relevant feedback and iterate on applying their latest models

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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What you'll do

• Perform stress and load testing
• Create, maintain, and improve test code in C++/Java/Scala to support applications and features

What you need

• Bachelor’s degree in computer science or higher
• 3-6 years of relative experience
• Expertise in object-oriented design/programming, strong programming expertise in either C/C++, or Java

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What you'll do

• Own the product vision and roadmap for anti-cheat platform integrity, effectiveness, and stability across EA’s PC and emerging hardware platforms.
• Serve as the lead product manager for Javelin, accountable for feature prioritization decisions, studio alignment, and long-term evolution of the anti-cheat solution

What you need

• 6+ years of Product Management Experience, with a focus on security, platform, infrastructure, or systems-level products.

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What you'll do

You will implement real-time performant, scalable, and high-quality features across our game portfolio.

• You will collaborate with our engineers, animators, and technical artists to create impactful solutions that empower our game teams to deliver expressive and believable motion.

What you need

• 8+ years of professional experience developing in C++ and C# within real-time, engine, or performance-critical environments.

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