In this pivotal role, you'll serve as the primary liaison between the platform engineering team and our developer community , including quantitative analysts, researchers, and front-office trading teams , ensuring the platform meets their complex development needs and continuously improves.

The Developer Platform team architects, engineers, and enhances the firm's developer’s toolchain and workflow. We collaborate closely with developers, quants, researchers, and front-office trading teams to ensure our platform provides a best-in-class development experience with the feel of native Mac/UNIX-like development.

This role sits at the intersection of product management and technical enablement, acting as the voice of the developer within the platform team.

Key Responsibilities:

• Build and maintain relationships with technologists and developers across the firm to deeply understand their workflows, pain points, and emerging needs

• Discover novel use cases and translate them into actionable product requirements for the platform engineering team

• Serve as the first point of contact for developer questions about the platform's environment, tooling, and capabilities

• Triage and reproduce issues reported by developers, driving initial diagnosis , including leveraging AI-assisted sessions for problem analysis , and escalating to the deeper technical engineering team when necessary

• Drive the roadmap and prioritization of platform enhancements in collaboration with engineering leadership

• Promote and evangelize the Linux developer platform , driving adoption and ensuring developers are aware of available features and best practices

• Manage project timelines, stakeholder communication, and delivery milestones for platform initiatives

Qualifications / Skills Required:

• Demonstrated experience in Technical Product Management, Technical Project Management, or Developer Relations/Developer Experience roles

• Strong communication and stakeholder management skills , ability to engage credibly with both highly technical developers and senior leadership

• Working familiarity with Linux desktop environments , comfortable navigating the platform, understanding developer workflows, and answering environment/tooling questions

• Conceptual understanding of containerization and orchestration (Docker, Podman, Kubernetes) and how developers leverage these tools in their workflows

• Familiarity with CI/CD concepts and tools (e.g., Jenkins, Git) , enough to understand developer pipelines and identify friction points

• Problem reproduction and triage skills , ability to recreate reported issues in the environment and clearly document/escalate to engineering with relevant context

• Experience leveraging AI tools (e.g., LLM-based assistants, copilots) to assist in problem diagnosis, research, and knowledge synthesis

• Basic scripting literacy (Bash, Python) , enough to read, understand, and run existing scripts; not necessarily write complex automation from scratch

Qualifications / Skills Desired:

• Familiarity with serverless compute concepts and cloud-native development paradigms

• Exposure to configuration management tools (e.g., Ansible) and image lifecycle management (e.g., Hashicorp Packer) , understanding what they do and how they fit into the platform, rather than hands-on administration

• Awareness of monitoring and observability tools (Prometheus, Grafana, ELK stack) from a user/consumer perspective

• Understanding of authentication and identity management concepts (e.g., Active Directory integration) as they relate to developer access and workflows

• Experience with agile project management methodologies and tools (Jira, Confluence, or similar)

• Strong communication skills working with engineering leadership, developer community, and stakeholders

• Bachelor’s degree in Computer Science or a related field

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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Key responsibilities include:

• Ensuring successful business outcomes for customers that lead to world-class retention and expansion for Tanium by collaborating with an account team of Sales, Solution Engineers, Domain Architects, and more
• Working with senior team members to understand the unique complexity and segmentation of the customers served and creating the best path to full Tanium platform adoption and expansion, leveraging understanding of not only the customer's environment but also insights as to how to overcome obstacles to implement new technologies
• Developing and maintaining necessary relationships with customers to ensure alignment to their business needs
• Identifying where Tanium can be further integrated into customer business processes and controls to increase ROI and expand into new solution areas
• Performing activities and data management that help to drive adoption and value against an agreed-upon plan with the customer

The ideal candidate will have 1-3 years of experience in Customer Success, Account Management, Technical Project Management, Sales Development, Service Management / Professional Services, preferably in a SaaS business model or within SLED organisations. Experience in Information Technology Operations, Security, or Vulnerability Management workflows is a plus.

We are looking for a highly organised self-starter who thrives in a fast-paced environment and is comfortable working in ambiguity. The successful candidate will be curious, willing to learn from others in their discipline, their customers, and other roles at Tanium, and eager to contribute suggestions and ideas to further customer and Tanium goals.

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The TPM will be responsible for managing the backlog, prioritizing initiatives, and facilitating technical literacy among the team. They will also drive change management and adoption, creating structural mechanisms to gather feedback from consultants and driving continuous improvement.

Additionally, the TPM will organize and energize our specialization Guilds, facilitating technical deep dives and ensuring that meetings have deep value. They will also facilitate collaboration and integration between the Services teams, Solutions Architects, Customer Architects, and Product Engineering.

The TPM will manage internal communications to the Global Services organization, drafting newsletters, release notes, and hosting enablement calls. They will also work with Field Engineering leadership to ensure that the assets we build are applicable and used across the entire field teams.

The TPM will define success metrics, move beyond vanity metrics, and track important metrics that prove business value. They will also run sprint planning, stand-ups, and retrospectives with an engineering approach, holding the team accountable for their deliverables.

To be successful in this role, you will need 5+ years of experience as a Program Manager, Technical Project Manager, or Delivery Lead, ideally within a Professional Services, Consulting, or SaaS Customer Success environment. You will also need strong communication skills, mastery of project management tools, and technical aptitude.

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In this role, you will be responsible for building and maintaining strong relationships with key EMEA LPM partners, facilitating technical integrations, launching new capabilities (whether with new or existing partners), and ensuring optimal performance of our solutions with financial partners.

Responsibilities:

• Partner Management: Build and maintain strong, long-term relationships with key financial ecosystem partners, serving as the primary point of contact for technical inquiries and operational support.

• Technical Integration: Collaborate closely with partners to define and implement successful integrations, ensuring all technical requirements are met and projects are delivered on time.

• Performance Tracking: Establish Service Level Agreements (SLAs) and performance standards for partner accounts, leveraging metrics and data analysis to monitor and improve partner health and satisfaction. Regularly drive technical reviews to improve partner performance.

• Cross-Functional Collaboration: Work across multiple Stripe teams,including Engineering, Product, and Partner Development,to support and drive process enhancements and technical solutions that benefit partners.

• Incident Management: Assist in incident resolution by coordinating with internal teams to manage partner communications effectively and resolve issues efficiently.

• Operational Efficiencies: Identify inefficiencies within Stripe’s operating model, proposing and driving effective solutions (including both technical and operational requirements) to address them.

• Training and Support: Provide ongoing training, documentation and support to partners, helping them leverage Stripe’s technology and products effectively.

• Feedback Collection: Gather feedback from partners to inform improvements in internal processes and product functionalities, ensuring customer needs are addressed within the organization

The ideal candidate will possess a blend of technical expertise and account management experience, with a focus on driving partner success.

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Carta connects founders, investors, and limited partners through world-class software, purpose-built for everyone in venture capital, private equity and private credit.

Trusted by 65,000+ companies in 160+ countries, Carta’s platform of software and services lays the groundwork so you can build, invest, and scale with confidence.

The Problems You’ll Solve

At Carta, our employees set out on a mission to unlock the power of equity ownership for more people in more places. We believe that the problems we solve today unlock the opportunities of tomorrow.

The Technical Implementation Specialist is responsible for bridging the gap between our core LPPA extraction tool engine and our clients’ downstream internal systems.

The Team You’ll Work With

You’ll be joining our Custom Integrations Team, a specialized engineering and delivery pod within the broader R&D and Implementation/delivery teams.

Our team is the critical link between our core LPPA engine and the production environments of the world’s leading Limited Partners (LPs).

About You

We are looking for a collaborative and detail-oriented lead who enjoys the challenge of turning complex data into seamless client solutions.

This involves:

• Act as the primary technical point of contact for new clients requiring custom delivery solutions.

• Analyze client downstream system requirements to draft comprehensive Functional & Technical Specification files.

• Navigating complex data mapping requirements.

• Managing secure connectivity across diverse IT infrastructures.

• Leading a technical team to deliver bespoke integration solutions in the client-required format and under tight deadlines.

• Facilitate daily stand-ups to track progress, remove blockers, and ensure alignment with the delivery roadmap.

• Perform Internal QA on custom templates (Excel, CSV, JSON) to ensure 100% accuracy against the signed-off specifications.

• Act as the first line of defense for production issues: perform initial triage and investigation of reported bugs.

Required Skills

• Technical Liaison
• Integration Architect
• Agile Delivery Lead
• Operational Driver
• Quality: You take a hands-on approach to Internal QA, ensuring 100% accuracy against signed-off specifications before any data is delivered to a stakeholder.
• First-Line Responder

Preferred Skills

• 3+ years of experience recommended in technical implementation, integration engineering, or technical project management.

Disclosures:

• We are an equal opportunity employer and are committed to providing a positive interview experience for every candidate.

• If accommodations due to a disability or medical condition are needed, please connect with the talent partner via email.

• Carta uses E-Verify in the United States for employment authorization.

• See the E-Verify and Department of Justice websites for more details.

• For information on our data privacy policies, see Privacy, CA Candidate Privacy, and Brazil Transparency Report.

• Please note that all official communications from us will come from an @carta.com or @carta-external.com domain.

Report any contact from unapproved domains to security@carta.com.

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This role is designed for a strong operator who will help scale our domestic, civilian, and commercial deployments. Operating CUAS capabilities inside the United States requires a combination of technical rigor, operational excellence, and regulatory awareness. Our systems must integrate seamlessly with civilian airspace operations while meeting federal, state, and local legal authorities governing counter-drone activity.

Our customers depend on precise execution, regulatory compliance, and professional fielding in environments where safety, legal authority, and public trust are paramount. This role is responsible for driving program execution to protect critical infrastructure, government facilities, and commercial sites.

You will serve as the operational expert for domestic Air Defense deployments,ensuring systems, personnel, training, documentation, and regulatory requirements are aligned for mission success. You will build repeatable deployment processes, manage cross-functional coordination, and serve as the connective tissue between technical teams and customers.

You will operate at the intersection of technology development, operational deployment, and customer engagement - serving as a key integrator across teams and ensuring the program executes effectively and efficiently at scale. You will directly support program cost, schedule, risk management, executive reporting, and strategic execution.

This role is ideal for an operator who thrives in ambiguity, is comfortable in front of customers and executives, wants to scale at speed, and build long-term sustainable operations.

Program Execution - Develop and maintain program execution frameworks, milestones, and reporting structures to ensure alignment across technical and operational teams - Drive program coordination across engineering, product, growth, compliance, and supply chain - Develop executive-level reporting, dashboards, and briefings to communicate program health and progress to leadership - Identify program risks early and drive mitigation strategies across technical and operational stakeholders - Ensure program execution aligns with applicable federal, state, and local regulatory frameworks governing domestics CUAS operations - Coordinate with regulatory and policy stakeholders to support deployments operating within FAA, DHS, and other relevant authorities - Serve as subject matter expert to ensure operational concepts and deployment strategies reflect real-world legal and regulatory constraints as well as operational realities

Deployment Planning - Oversee planning and coordination of CUAS deployments , from planning and logistics through on-site activation to long-term sustainment - Develop structured deployment plans, readiness gates, and operational checklists to ensure repeatable execution - Coordinate cross-functional teams to deliver mission-ready capabilities to customer sites - Lead after-action reviews and capture lessons learned to continuously improve deployment velocity and quality

Stakeholder Engagement - Serve as senior program representative during key deployments and operational activities - Ensure clear, proactive communication across internal stakeholders and external customers - Drive stakeholder alignment across technical, operational, and regulatory teams to ensure program decisions are made quickly, transparently, and in support of mission success - Ensure coordination between program leadership, field operations, and customer stakeholders to maintain readiness and program credibility

Required Qualifications - 6+ years of experience in deployment operations, defense programs, aerospace systems, logistics, or technical project management - Demonstrated experience managing complex, cross-functional programs involving hardware and software systems in high-stakes or regulated environments - Experience working with domestic government entities, critical infrastructure operators, or regulated commercial customers - Strong operational rigor,ability to build structured plans, manage concurrent workstreams, and execute against tight timelines - Proven ability to cut through ambiguity and drive cross-functional alignment without formal authority - Exceptional written and verbal communication skills; comfortable briefing senior leadership and customer executives - Willingness to travel up to 30% as program and deployment needs require - Eligible to obtain and maintain a security clearance

Preferred Qualifications - Familiarity with the domestic CUAS operating environment with direct experience work on sensor networks, autonomy, or ISR platforms - Knowledge of FAA coordination, regulatory compliance, and operational integration within civilian infrastructure - Prior experience in a Deputy Program Manager, Program Analyst, or Technical Program Management role - Familiarity with domestic airspace regulations, FAA coordination, or CUAS legal frameworks - Background in DoD, DHS, or critical infrastructure protection programs - Experience scaling operations from early-stage deployments to sustained production and fielding - MBA or advanced degree in Business, Public Policy, Engineering, or a related technical discipline

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You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products.

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates
• KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

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As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in Digital Native customers.

You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon.

This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation.

You will report directly to a DSA Manager within the Field Engineering organization.

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritized customers

• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts

• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks

• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organisations

• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise

• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals

• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs

• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

• Main use cases moving from 'win' to production

• Enablement / user growth plan

• Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision)

• Organic needs for current investment (e.g. cloud cost control, tuning & optimisation)

• Executive and operational governance

• Provide internal and external updates

• KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression to your Technical GM

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers

• Programming experience in Python, SQL or Scala

• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role

• Understanding of solution architecture related distributed data systems

• Understanding of how to attribute business value and outcomes to specific project deliverables

• Technical program, or project management including account, stakeholder and resource management accountability

• Experience resolving complex and important escalation with senior customer executives

• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects

• Track record of overachievement against quota, Goals or similar objective targets

• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience

Can travel up to 30% when needed

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $180,000-$247,500 USD

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Key responsibilities include:

• Engaging with Solutions Architects to understand full use case demand plans for prioritized customers
• Leading post-technical win technical account strategy and execution plans for Databricks use cases within our most strategic Public Sector accounts
• Being the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders
• Creating, owning, and executing a point-of-view as to how key use cases can be accelerated into production
• Developing an execution plan that covers all activities of all customer-facing technical roles and teams

Requirements include:

• 7+ years of experience in technical project or program delivery within the domain of Data and AI
• Programming experience in Python, SQL, or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related to distributed data systems
• Ability to attribute business value and outcomes to specific project deliverables

Salary range: $180,000-$247,500 USD

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You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products.

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

Main use cases moving from ‘win’ to production Enablement / user growth plan Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) Organic needs for current investment (e.g. cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression to your Technical GM

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

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As a Senior Program Manager, you will be responsible for owning the release management lifecycle from planning through deployment, including release readiness criteria, go/no-go decisions, and post-release retrospectives. You will define and maintain release schedules that account for hardware/software dependencies, customer commitments, and regulatory requirements.

Key responsibilities include:

• Serving as the central coordination point for all release-related activities across engineering, QA, product, and field operations
• Driving program-level planning, tracking, and risk management across multiple concurrent initiatives
• Developing and maintaining release governance processes, including branching strategies, freeze windows, and rollback procedures in collaboration with engineering leads
• Identifying systemic risks and blockers across programs and driving resolution with appropriate urgency and escalation
• Building and reporting on program and release KPIs, surfacing insights that inform leadership decisions on scope, schedule, and resource trade-offs

To be successful in this role, you will need to have 6+ years of experience in program or project management within a technical environment, with direct ownership of release management processes. You should have a proven ability to manage complex, multi-team programs involving both software and hardware components.

Additionally, you should have strong command of Agile methodologies and SDLC practices, including experience adapting them to hardware-coupled development cycles. Excellent communication and facilitation skills are also essential, as you will need to drive alignment across engineering, product, and executive stakeholders.

Experience with autonomous systems, robotics, or other safety-critical industries is strongly preferred.

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Audi will be competing in the FIA Formula 1 World Championship from 2026. The new team has three locations. The Motorsport Competence Center of Audi in Neuburg (Germany) is considered one of the most modern of its kind in Europe. The Formula 1 factory of Audi Motorsport AG in Hinwil (Switzerland) is known for its innovative technologies and passion for racing. The Audi Motorsport Technology Center, UK, is in its launch phase and growing continuously. Our Power Unit comes from Neuburg, while Hinwil is responsible for the development of the chassis and race operations.

What you need?

You need the mindset of an athlete. If you are someone for whom giving up isn’t an option and limits are just something to be overcome, you can bring Vorsprung durch Technik to Formula 1 with us. Become part of this unique project and make motorsport history.

The position

The position is to be filled at Audi Formula Racing GmbH in Neuburg (Germany).

Your Mission

• Coordination of the entire development cycle of the internal combustion engine (ICE)
• Direct reporting line to the department head, including steering and alignment of the development divisions: design, simulation, testing, metallurgy, production, and trackside engineering
• Ensuring a unified strategy, clear governance, and cross-functional execution of all development activities
• Definition and management of the complete development roadmap, including consolidation of technical proposals and execution of projects through structured planning, milestone tracking, and risk management
• Ensuring that the combustion engine meets all performance, reliability, cost, and delivery targets, and that all technical decisions comply with regulations, innovation strategy, and performance requirements
• Prioritization of development initiatives, allocation of budget and resources, monitoring of KPIs, and acting as the central interface to senior management to ensure transparent and well-informed decision-making
• Fostering cross-departmental collaboration and optimizing resource utilization

Your Profile

• At least 5 years of experience in technical project management within a Formula 1 team
• Knowledge of CAE simulation as well as cross-functional collaboration with design and production teams
• Familiarity with modern manufacturing methods and tools (e.g., DLMS) and supply-chain management is advantageous
• Strong teamwork and coordination skills
• Business-fluent German or English language skills

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Location

San Francisco

Employment Type

Full time

Department

Model Deployment for Business

Compensation

• $198K – $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.

• 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

OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships.

About the Role

As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals.

You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities.

Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures).

This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace.

This role is based in New York City or San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel between 25%- 50% is required.

In this role, you will:

• Own the technical delivery plan for multiple interdependent work streams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria.

• Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.

• Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management.

• Partner with Product and Research so platform components and research work streams land in time to support deployment goals.

• Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models.

• Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors.

You’ll thrive in this role if you:

• Bring 7+ years of customer‑facing technical delivery leadership.

• Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI.

• Excel in high ambiguity environments. Know how to simplify complex and dynamic work.

• Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems.

• Think strategically and pattern-match. A

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Location

Tokyo, Japan

Employment Type

Full time

Location Type

Hybrid

Department

Model Deployment for Business

About the team

OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.

About the Role

This is a founding role. As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals.

This is not a management role, however you'll own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities.

Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures).

This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace.

This role is based in Tokyo. We use a hybrid model of 3 days in office and offer relocation assistance. Travel up to 25-50% is required.

In this role, you will:

• Own the technical delivery plan for multiple interdependent workstreams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria.

• Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.

• Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management.

• Partner with Product and Research so platform components and research workstreams land in time to support deployment goals.

• Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models.

• Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors.

You’ll thrive in this role if you:

• Bring 7+ years of customer‑facing technical delivery leadership.

• Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI.

• Excel in high ambiguity environments. Know how to simplify complex and dynamic work.

• Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems.

• Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions.

• Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs.

• Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls.

• You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution.

• Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher).

• Have expertise in at least one major sector (e.g., healthcare, energy, financial services, semiconductors, IT) to elevate solution framing and credibility.

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

Effectively lead multi-disciplinary facility electrical engineering projects with capabilities to implement and communicate an operational plan for completing a project, monitor progress and performance against the project plan; resolve operational problems, minimize delays, develop, and gather necessary resources to complete the project.

What you need

• Bachelor’s degree in Electrical Engineering, or related discipline, or equivalent combination of education and experience

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What you'll do

• Lead and coordinate multiple core technology teams, ensuring alignment on priorities, goals, and execution across shared workstreams.
• Own planning, tracking, and organization for backlogs, milestones, and cross-team dependencies supporting the franchise.

What you need

• 5+ years of experience in game production or technical project management, with experience supporting multiple teams or shared services.

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You'll be responsible for technical project management with a focus on type planning, participating in the preparation of type vehicles, change management for occurring changes after type planning, preparing and accompanying type measurement, and supporting documentation for type approvals for different markets.

• Technical project management with a focus on type planning
• Participation in the preparation of type vehicles
• Change management for occurring changes after type planning
• Preparation and accompaniment of type measurement
• Support for documentation for type approvals for different markets

What you need

• A study place for (business) engineering with a focus on mechanical engineering, vehicle technology, electrical engineering, or a comparable course of study (at least in the 3rd semester or in the gap year between bachelor and master)
• Independent and structured working style
• High communication and team skills
• Driving license class B desirable
• Safe handling of MS Office
• Very good German and good English skills (at least B2)

Why this matters

This role is a 3-6 month internship starting in March and September. We offer digital learning and working tools, mobile learning, and flexible working hours after coordination in the team. We welcome applicants from diverse backgrounds and are committed to creating an inclusive work environment.

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