Engineering Jobs in Buda Texas Flexible
302 positions found — Page 2
Based onsite in Austin, TX
Jabil is seeking a highly experienced and customer-facing Principal Program Manager to lead global Data Center Infrastructure & Rack Integration projects. This role is responsible for the end-to-end development, delivery, and lifecycle management of highly customized rack solutions and MDCs for hyperscale and enterprise customers. The ideal candidate will bring deep expertise in managing multi-million-dollar programs, coordinating global teams, and delivering scalable infrastructure solutions. The Principal Program Manager is a senior position in Program Management responsible for running large complex programs, including contingency planning and issue resolution.
What can you expect to do?
- Customer-Facing Program Leadership: Serve as the primary liaison for global cloud customers, leading cross-functional teams and external vendors to deliver tailored infrastructure solutions. Anticipates, meets and exceeds expectations by solving problems quickly and effectively, making customer satisfaction a priority.
- Modular Data Center Expertise: Manage the design, planning, assembly, configuration, testing, and global delivery of Modular Data Center solutions and other Data Center Infrastructure Programs.
- End-to-End Rack Integration: Manage the design, planning, assembly, configuration, testing, and global delivery of integrated rack solutions.
- Enterprise Cloud Solutions: Develop and deploy highly customized enterprise cloud infrastructure for large-scale customers, ensuring alignment with technical and business requirements.
- Global Coordination: Collaborate with engineering, supply chain, procurement, logistics, and multiple global integrator facilities to ensure seamless execution and customer satisfaction.
- Cross-Functional Team Management: Lead diverse teams across Production Operations, Procurement, Logistics, and Customer Care to fulfill infrastructure needs with timely execution and post-sales support.
- Technical Oversight: Coordinate and execute the design, build, and test of various rack configurations, ensuring quality, scalability, and performance standards are met.
- Operational Excellence: Drive continuous improvement in program execution, risk management, and operational efficiency across global integration centers. Responsible for program planning and scheduling, including the timing and resources required to deliver upon key milestones / deliverables and the implications from key interdependencies.
What is the experience needed to be successful in this role?
- Bachelor’s degree in Engineering, Business, or related field required; Master’s preferred.
- 12-15+ years of experience in program management in rack integration, modular data centers, or cloud infrastructure.
- Proven success in customer-facing roles managing large-scale, global programs.
- Proven ability to develop effective, matrixed, cross-organization programs and best practices, collaborating and communicating across business and technology stakeholders and multiple geographies.
- Deep understanding of MDC architecture, rack-level integration, and hyperscale cloud infrastructure.
- Strong leadership, communication, and stakeholder management skills.
- PMP or equivalent certification is a plus.
Benefits Package with Jabil
Along with growth, stability, and the opportunity to be challenged, Jabil offers a competitive benefits package that includes:
- Competitive Base Salary
- Annual Bonus
- Medical, Dental, Prescription Drug, and Vision Insurance with HRA and HSA options
- 401K Match
- Employee Stock Purchase Plan
- Paid Time Off
- Tuition Reimbursement
- Life, AD&D, and Disability Insurance
- Commuter Benefits
- Employee Assistance Program
- Pet Insurance
- Adoption Assistance
- Annual Merit Increases
- Community Volunteer Opportunities
Jabil is seeking a Senior Manager, Manufacturing Test Development for our Austin, TX location who will directly contribute to the transformative growth within our Intelligent Infrastructure division by applying unique and innovative approaches to developing end customer product solutions.
You will be responsible for managing the technical direction of Rack scale test software and integration development programs through the lens of the customer, factory, and services. You will also be responsible for partnering and collaborating with Hyperscale & AI customers, strategic suppliers, internal engineering, product management, program management, manufacturing, test and quality teams to ensure your products meet the rigorous standards and performance expectations of Jabil’s world-class manufacturing environments and our customers.
What can you expect to do?
LEADERSHIP RESPONSIBILITIES
- Responsible for ensuring the delivery of all manufacturing test solutions for new and sustaining programs for rack-scale AI/ML and GPGPU and hardware accelerator-based server and storage platforms.
- Accountable for all onsite customer delivery commissioning tests as an extension of the manufacturing test capability.
- Strong ability to organize teams and drive the solution for multiple, complex problems cross-functionally and within various areas of technical expertise (hardware, software, firmware, performance, interoperability, etc.)
- Charged with ensuring the right level of execution discipline and engineering rigor is applied to all technical program deliverables – must lead by example.
- Empowered to make key decisions with respect to quality and features that may impact customer experience.
- Capable of influencing individuals, teams and executives to the level necessary to support delivery of programs within schedule, scope and budget boundaries.
- Able to understand how technical decisions impact the broader business, factories and customers and use these insights to lead the broader organization to optimized outcomes.
- Must be extremely detailed oriented while at the same time able to communicate complex issues in simple, actionable terms at all levels within the organization.
- Must possess a strong balance of technical skills, experience-based judgment and business acumen in all execution and decision-making activities.
- Strong ability to develop, grow and maintain healthy interpersonal relationships with peers, team members, executive leadership, customers and external partners at all times.
- Provide thought leadership and direct engineering support to multiple manufacturing sites in the areas of product, component and supplier expertise.
- Exchange knowledge and information with other Jabil facilities to ensure best practices are both shared and implemented throughout the Jabil organization.
- Guide technical and operational teams towards the successful resolution of complex and/or systemic product, process and material issues through the application of rigorous analytical methods.
- Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines).
FUNCTIONAL RESPONSIBILITIES
- Primary technical interface for manufacturing rack test development efforts from concept through delivery.
- Own driving resolution of all issues regarding test solutions aligned with critical path.
- Reviewer and approver of technical risks, and contingency/mitigation plans.
- Can review and provide input to material plans, test plans, test reports, lessons learned.
- Owns preventative actions so gaps in E2E process or capability are addressed long-term.
- Accountable for managing manufacturing technical and quality excursions through indirect coordination and hands-on engineering analysis as it pertains to your test deliverables.
- Provide technical and product subject matter expertise to the factories and customers.
- Lead highly technical and innovative RFI/RFQ responses supporting new strategic and recurring business opportunities.
KNOWLEDGE REQUIREMENTS
- Strong technical program management skills. Able to lead and direct a broad cross-functional global team.
- Exceptional knowledge and experience regarding product development processes and tools.
- Experience and deep level of understanding of server, storage, networking and GPGPU and PCIe-based accelerator architectures.
- Working knowledge of OS, driver, firmware and hardware architecture, device interactions and ability to leverage expertise to determine root cause that lead to optimized solutions.
- Deep experience in process development and process improvement. Able to lead the development of complex processes spanning multiple functions and areas of expertise.
What is the experience needed to be successful in this role?
- BS degree in Electrical/Computer Engineering, Computer Science or related field is required; MS is preferred.
- 8+ years' experience in a software or hardware product development environment with enterprise server, storage or networking products is required.
- Excellent verbal and written communication skills.
- Prior experience directly or indirectly managing engineering and/or development teams.
- Experience managing remote, multi-national and geographically dispersed development teams.
- Domestic and/or international travel, up to 30%, may be required.
Benefits Package with Jabil
Along with growth, stability, and the opportunity to be challenged, Jabil offers a competitive benefits package that includes:
- Competitive Base Salary
- Annual Bonus
- Medical, Dental, Prescription Drug, and Vision Insurance with HRA and HSA options
- 401K Match
- Employee Stock Purchase Plan
- Paid Time Off
- Tuition Reimbursement
- Life, AD&D, and Disability Insurance
- Commuter Benefits
- Employee Assistance Program
- Pet Insurance
- Adoption Assistance
- Annual Merit Increases
- Community Volunteer Opportunities
Job Family: Mechanical Design Engineering
Organization: Data Center Infrastructure Team
Location: Remote* OR Austin, TX
*Requires up to 20% domestic and/or international travel (rare)
How will you make an impact?
The Principal Mechanical Design Engineer (Data Center Infrastructure) is a technical leader responsible for the architecture, integration, and validation of advanced mechanical systems supporting hyperscale data center environments. This role requires deep expertise in liquid cooling technologies (single-phase and two-phase), hydronic system design, structural integration, and manufacturable rack-level infrastructure solutions.
This role is responsible for defining system performance requirements, developing technical specifications, selection and integration of critical components, and leading mechanical design from concept through production release. Responsibilities include wetted material selection, thermal and structural analysis, fastening strategies, component layout, and design for manufacturability. Partners cross-functionally to deliver reliable, scalable, and cost-effective Data Center Infrastructure solutions while advancing innovation in liquid cooling performance.
What will you do?
- Lead the end-to-end mechanical design and engineering of hyperscale Data Center Infrastructure (DCI) systems, including liquid-cooled rack assemblies, CDUs, manifolds, enclosures, structural frames, and associated hydronic piping systems.
- Serve as the technical authority for single-phase and two-phase liquid cooling architectures, including primary and secondary loop design, in-rack distribution, and system integration within hyperscale data center environments.
- Define and validate operational performance requirements for liquid-cooled infrastructure, including pressure ratings, hydrostatic limits, temperature ranges, flow rates and uniformity, thermal expansion, durability, and serviceability.
- Design, analyze, and validate machined components, welded fabrications, manifolds, and structural systems using advanced engineering principles, including stress analysis, finite element analysis (FEA), flow modeling, and structural load calculations to ensure mechanical integrity and code compliance.
- Lead wetted material selection and compatibility analysis for liquid cooling systems, including corrosion mitigation strategies, surface treatments, cleanliness standards, and long-term durability considerations.
- Develop and review CAD models and complete technical data packages using CREO, SolidWorks, or equivalent tools; ensure design accuracy, manufacturability, and system-level integration.
- Author and approve technical specifications for piping systems, rack-level cooling infrastructure, and hydronic components, including installation guidelines, maintenance procedures, testing requirements, and compliance with applicable standards (ASME, ISO).
- Establish and oversee validation protocols including hydrostatic pressure testing, leak detection and mitigation, flow resistance analysis, and corrosion verification to ensure regulatory compliance and operational reliability.
- Evaluate customer design proposals and technical specifications to assess feasibility, manufacturability, cost, and risk; provide recommendations to optimize performance and total cost of ownership.
- Lead cross-functional design reviews with electrical, thermal, manufacturing, quality, and supply chain teams to ensure full system integration and compliance with product specifications and applicable plumbing and hydronic codes.
- Optimize rack manifold design and manufacturing processes, including machining, welding, surface finishing, connection interfaces, venting and draining strategies, and flow path optimization to enhance performance and manufacturability.
- Drive continuous improvement in manufacturing assembly methods and tooling in collaboration with production teams and equipment vendors to improve quality, scalability, and cost efficiency.
- Lead root cause investigations for complex mechanical failures identified during validation or field deployment and implement corrective design improvements.
- Provide technical leadership in vendor qualification and management for mechanical components and liquid cooling subsystems.
- Identify and mitigate technical risks impacting performance, schedule, or cost, and contribute to R&D initiatives advancing liquid cooling technologies and system innovation.
MINIMUM QUALIFICATIONS
Education:
- Bachelor’s degree in Mechanical Engineering, Systems Engineering, or a related engineering discipline from an accredited university.
Experience:
- 8 years' experience in mechanical design and integration of mission-critical systems.
- Proven track record of successful system designs and implementations in a relevant industry
- Strong understanding of mechanical systems, integration strategy, and system coordination
- Familiarity with industry standards and regulations related to Energy Storage Systems and Data Center Infrastructure is preferred.
- Excellent problem-solving skills and attention to detail
- Strong communication and teamwork abilities
PREFERRED QUALIFICATIONS
- Master’s Degree in Mechanical Engineering
- Professional Engineer (PE) License
Remote working/work at home options are available for this role.
The successful candidate will be responsible for a portfolio of major strategic initiatives focused on improving operational efficiency, reducing manual effort, and enhancing delivery performance across our global supply chain operation. This role requires deep technical expertise, strong program management skills, and the ability to drive complex, cross-functional initiatives that span multiple regions and business units.
Key job responsibilities
Strategic Leadership & Roadmap Execution
- Own and drive the multi-year technology roadmap for RDPI Supply Chain, defining product vision and strategy for technology fulfillment automation services
- Partner with engineering, operations, and business stakeholders to prioritize technology investments and balance short-term wins with long-term architectural goals
Program Delivery
- Lead development and implementation of five major strategic initiatives: Automated Demand Program Management System, Technology Fulfillment Digital Process Agents, Simple Integration Service, AI-driven chatbot expansion, and Cost & Asset Explorer
- Drive intelligent automation to monitor and coordinate customer ordering, procurement, build, and logistics processes across all demand streams
Technical Architecture & Innovation
- Collaborate with engineering teams to design and implement layered microservices architecture leveraging AWS cloud-native services, AI/ML capabilities, and Domain-Driven Design principles
- Champion adoption of advanced AI/ML technologies, including Agentic AI systems with autonomous decision-making capabilities
Stakeholder Management & Metrics
- Serve as primary technical liaison between RDPI Supply Chain leadership, engineering teams, and business stakeholders across global operations
- Define and track KPIs for delivery performance, order processing efficiency, inventory optimization, and cost management
- Foster innovation culture while providing technical guidance and mentorship to cross-functional teams
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
Operations Technology Solutions (OTS) is the invisible scaffolding empowering and protecting Amazon's global operations. We delight our customers with flexible, low touch, and cost-efficient IT network, wireless, and end-user devices featuring unparalleled resilience and security. To scale our reach and remove technology barriers for customers, we leverage data, analytics, and automation. We obsess over continuous improvement in our people, process, and technology to enhance customer experience while maintaining stability, security, and speed to market for the largest operations network in the world.- Bachelor's degree
- Experience bridging technical and business teams to collect and refine requirements, prioritize incoming work requests, and ensure all committed work is delivered on time
- Experience in an operational environment developing, fast-prototyping, piloting and launching analytic products
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience in technical product management, program management or engineering
- Experience with concepts such as system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making
- Experience providing and effectively communicating strategic and tactical recommendations based on data
- Technical Expertise: As an experienced Product Manager - Technical, you possess a deep, well-rounded technical expertise across a wide range of critical systems and technologies, including operating systems, databases, network infrastructure, virtualization, and cloud computing (AWS). You are fluent in evaluating the capabilities and limitations of these technologies, and can adeptly select the most appropriate solutions to meet specific product requirements.- Experience performing statistical analysis of data using SQL, Excel and other tools
- Experience in building and driving adoption of new tools
- Experience with technologies like Hadoop, Rules based systems and Machine learning
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , TN, Nashville - 143,7 ,300.00 USD annually
USA, TX, Austin - 151,2 ,600.00 USD annually
**This position supports hybrid work schedule depending on organization needs.**
Jabil is seeking a DCI Test Development Engineer who will directly contribute to the transformative growth within our Enterprise and Infrastructure division by applying unique and innovative approaches to solving problems within a large-scale software and data center infrastructure. The DCI Test Development Engineer plays a vital role in ensuring the quality and reliability of hardware products, contributing to the overall success of the manufacturing process and customer satisfaction. You will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and data center infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil’s world-class manufacturing environments.
Test System Development: Design and develop test systems and procedures for manufacturing processes. This includes creating test plans, test cases, and test scripts to assess the functionality and performance of hardware.
Develop and implement automated manufacturing test sequences in Python that interface with BMS and PLC hardware to validate the functional performance, communication protocols, and safety logic of liquid cooling equipment.
Test Software Development: Create, validate, release, and maintain test software and scripts that automate the testing process. This software may include code for controlling test equipment, collecting and analyzing data, and generating test reports.
Test Sustaining: Support and maintenance for the manufacturing server (L10) and rack (L11) level test software and infrastructure deployed at our production facilities, including the implementation of minor system configuration changes (new IPNs)
Collaboration: Work closely with cross-functional teams, including hardware engineers, manufacturing engineers, controls engineer, and quality assurance personnel, to ensure alignment on testing requirements and quality standards
Continuous Learning: Stay updated on the latest advancements in testing technologies, methodologies, and industry best practices to keep manufacturing processes competitive and up to date
Definition and collaboration on overall test infrastructure and application architectures
BS degree in Electrical/Computer Engineering, Computer Science or related field is required
5-8 years’ experience in a software manufacturing test development/sustaining with enterprise server, storage or networking products is required
~10+ years of relevant experience in a software manufacturing test development/ sustaining with enterprise server, storage or networking products and some college coursework in lieu of a 4- yr. Expertise in the following programming/scripting languages: Python, Java, BASH. C, C++, experience a plus
Linux development expertise with a solid understanding of its fundamentals: Python for hardware automation, with a deep understanding of industrial communication protocols (Modbus, BACnet, or Ethernet/IP) and the ability to interpret P&IDs and electrical schematics for cooling systems; Expertise in the creation and configuration (DHCP, PXE boot, nginx) of Virtual Machines (VMs) using VMWare
Expertise with leading edge networking systems, hardware, software and protocols including but not limited to enterprise ethernet datacenter switching/routing L1, L2, and L3 (BGP, DHCP Relay, ECMP). Strong knowledge of professional software engineering practices for the complete software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Ability to travel up to 10% globally as required
Location: United States
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.
This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.
GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.
Join Our Team
We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.
In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.
What you'll get to do...
- Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
- Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
- Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
- Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
- Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization
Your experience should include...
- 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
- 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development
- 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
- A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
- A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
- 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
- The ability to define and implement a vision for experimentation best practices across diverse product areas
You might also have...
- Master's in computer science or equivalent quantitative fields
We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.
We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.
About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.
At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.
GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.
Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.
Remote working/work at home options are available for this role.
Location: United States
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.
This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.
GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.
Join Our Team
We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.
In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.
What you'll get to do...
- Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
- Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
- Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
- Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
- Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization
Your experience should include...
- 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
- 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development
- 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
- A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
- A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
- 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
- The ability to define and implement a vision for experimentation best practices across diverse product areas
You might also have...
- Master's in computer science or equivalent quantitative fields
We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.
We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.
About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.
At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.
GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.
Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.
Remote working/work at home options are available for this role.
Location: United States
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.
This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.
GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.
Join Our Team
We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.
In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.
What you'll get to do...
- Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
- Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
- Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
- Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
- Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization
Your experience should include...
- 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
- 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development
- 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
- A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
- A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
- 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
- The ability to define and implement a vision for experimentation best practices across diverse product areas
You might also have...
- Master's in computer science or equivalent quantitative fields
We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.
We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.
About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.
At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.
GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.
Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.
Remote working/work at home options are available for this role.
Location: United States
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.
This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.
GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.
Join Our Team
We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.
In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.
What you'll get to do...
- Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
- Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
- Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
- Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
- Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization
Your experience should include...
- 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
- 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development
- 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
- A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
- A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
- 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
- The ability to define and implement a vision for experimentation best practices across diverse product areas
You might also have...
- Master's in computer science or equivalent quantitative fields
We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.
We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.
About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.
At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.
GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.
Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.
Remote working/work at home options are available for this role.
Location Details: Remote - United States
At GoDaddy, the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days), and some work entirely remotely.
This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.
This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.
GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.
Join our team
The GoCaaS (GoDaddy Content As A Service) team powers GoDaddy's generative AI platform. We enable internal teams to securely build, deploy, and scale AI capabilities across the company—driving innovation, productivity, and customer impact. Our platform supports 100+ large language models across multiple vendors (OpenAI, Google, Anthropic, AWS) with 99.99% uptime, serving thousands of employees and dozens of teams.
What you'll get to do...
- Lead and develop a high-performing engineering team delivering critical AI platform capabilities while mentoring engineers to deliver quality software efficiently.
- Partner with cross-functional teams (product, design, and engineering leaders) to define and execute the GoCaaS roadmap and strategic initiatives.
- Drive platform excellence by ensuring reliability, scalability, and optimal developer experience for internal AI consumers.
- Champion engineering best practices, including CI/CD, observability, and secure software development across the organization.
- Collaborate with enterprise teams (security, data, infrastructure) to deliver enterprise-grade AI solutions while fostering a culture of experimentation and technical excellence.
Your experience should include...
- 6+ years of software engineering experience with at least 2 years in engineering management or tech lead roles.
- Proven leadership of backend/platform teams delivering production-scale services.
- Strong cloud infrastructure knowledge (AWS, GCP, or Azure) and distributed systems expertise.
- Hands-on programming skills in Python, Go, or Node.js with CI/CD and observability experience.
- Leadership and project management abilities, including stakeholder management and cross-functional project delivery.
You might also have...
- AI/ML Infrastructure Experience - Working with LLMs, RAG systems, or broader AI/ML infrastructure.
- Container Orchestration - Familiarity with Kubernetes and Docker.
- Security & Privacy - Experience with secure data handling and privacy frameworks.
- Developer Platform Background - Experience building internal tooling or developer platforms.
- Leadership & Community Engagement - Passion for team building, mentoring engineers, and contributing to open-source initiatives.
We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits, including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.
We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.
About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunities more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.
At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report, which can be found on our Diversity Careers page.
GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.
Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.
Remote working/work at home options are available for this role.
