Engineering Jobs in King Washington Remote

Job Title: Technical Program Manager III – PDE (Hardware)

Location: Sunnyvale, CA or Redmond, WA (preferred)

Duration: 12 Months to start with potential extensions (W2 Contract)

We are seeking an experienced Technical Program Manager (TPM III) to support Product Design Engineering (PDE) programs for next-generation consumer hardware products. This role will lead complex, cross-functional hardware development programs from early concept through qualification and mass production.

You will work closely with engineering, product, architecture, industrial design, and operations teams, as well as external vendors, to ensure timely and high-quality delivery of hardware modules.

Must-Have:

Hands-on experience managing hardware development programs

Strong understanding of mechanical design, manufacturing, and qualification

Proven vendor management experience (including flexible hours and travel)

Ability to translate technical complexity into clear program execution

Nice-to-Have

Mandarin language skills

AR/VR, wearables, or consumer electronics background

Experience:

5–8 years as a TPM supporting PDE or hardware engineering teams

Comfortable driving ambiguity in early-stage product development

Responsibilities:

Drive investigation, definition, and delivery of next-generation hardware modules

Develop and manage end-to-end development, delivery, and qualification schedules

Own phase-gate execution from concept through mass production

Lead cross-functional collaboration across engineering, product, ID, operations, and vendors

Manage internal and external communication, including vendor coordination across time zones

Set milestones, track risks, and proactively resolve program issues

Drive engineering teams to closure on technical challenges

Manage engineering builds from early prototypes through qualification

Ensure program documentation is complete, current, and leadership-ready

Support resource planning and budget management

Travel up to 20% as required for program execution

Required Qualifications

BS in Engineering or equivalent practical experience

5–8+ years of experience managing hardware/PDE programs from concept to mass production

Strong background in mechanical engineering and manufacturing processes

Experience working with external vendors and global supply chains

Proven ability to manage complex schedules, risks, and dependencies

Excellent communication and stakeholder management skills

Nice-to-Have

Mandarin language proficiency (strongly preferred)

Experience in consumer electronics, AR/VR, or wearable devices

Position: Senior Infrastructure Engineer

Location: Bellevue, WA (Onsite)

Candidate needs to be on W2 for contract role

Exp: 4-8 years

Key Points: CI/CD pipelines, AWS, Hipaa, Cost optimization

What You Will Do:

• Primary Focus: Cloud architecture, laC, networking, security, and production reliability.
• Must Have: Deep AWS experience, Terraform/CloudFormation CI/CD pipelines.
• Operational Skills: Monitoring/observability (Grafana), incident response, runbooks, cost optimization. Security & Compliance: IAM, secrets management, network security, experience with compliance controls (HIPAA/GDPR) where applicable.
• Deliverables: Reproducible laC, architecture diagrams, deployment automation, SRE playbooks.

What You Will Bring:

• High-impact role with visibility across engineering and product.
• Opportunity to lead large-scale frontend initiatives from architecture to launch.
• A collaborative, growth-oriented engineering culture.
• Opportunity to convert to full time with the client.

Title: AI Architect

Location- Redmond, WA

Contract

We’re looking for a AI Architect to design and scale enterprise grade AI agents and LLM powered systems for real world use cases across automation, analytics, and developer productivity.

What you’ll do

• Architect and build AI agents & multi agent systems using Python
• Design Copilot style solutions leveraging Microsoft Copilot ecosystem
• Implement LLMs, RAG, prompt engineering, tools & evaluation frameworks
• Define end to end AI architecture with focus on scale, security & reliability
• Build and operate MLOps pipelines (CI/CD, monitoring, retraining)
• Integrate enterprise systems using MCP (Model Context Protocol)

What we’re looking for

• 9+ years in Software / Platform Engineering
• 2–3+ years hands on with Applied AI, LLMs, and AI agents
• Strong Python and system design skills
• Experience with Azure AI / Azure OpenAI / Azure Foundry
• Exposure to GitHub Copilot, vector DBs, Docker, AKS/Kubernetes

Ada Infrastructure is a part of the digital infrastructure platform of Ares Management Corporation, a leading global alternative investment manager offering clients complementary primary and secondary investment solutions across the credit, real estate, private equity and infrastructure asset classes.

We are a global data center business grounded in sustainability, safety, and security. With a world-class team of industry leaders and the resources of Ares Management Ada Infrastructure is executing on our mission to lead the world in sustainable digital infrastructure that drives customer success and social benefit.

The Development Manager for North America leads data center sites from Letter of Intent through entitlements and permitting, preparing sites for handoff to the delivery team. This role requires strong leadership, project management, and coordination skills to guide internal and external experts, mitigate risks, manage budgets, and maintain schedules. The ideal candidate has a developer background, experience managing BTS and Spec developments, and the ability to navigate multiple customer requests and development pathways at once. They must manage projects with flexible strategies, using input from SMEs to deliver the highest and best value for each site.

• Lead site development from Letter of Intent through permitting, entitlements, and regulatory approvals.
• Lead site due diligence in both desktop and detailed formats to support site acquisitions.
• Coordinate with municipalities, permitting agencies, utilities, and consultants to secure required approvals.
• Consolidate input from technical experts and stakeholders to track project risks, recommend mitigation strategies, and maintain compliance with schedules and budgets.
• Oversee environmental assessments, land use studies, and utility interconnection requirements.
• Ensure sites meet organizational criteria for power, fiber, water, access, and constructability prior to handoff.
• Conduct initial site reviews to assess feasibility, including zoning, land use, infrastructure, and regulatory requirements.
• Provide recommendations on site viability and prioritize development opportunities.
• Support the internal site selection team in conversations with landowners, brokers, and partners during early acquisition phases, providing guidance and assistance as needed.
• Serve as the central point of coordination, gathering information from subject matter experts to maintain alignment across teams.
• Ensure that project schedules, deliverables, budgets, and risks are actively monitored and communicated to senior leadership.
• Partner with legal, site selection, energy, design, sustainability, and delivery teams to ensure smooth project execution.
• Develop standardized processes and tools for consistent North American development practices.
• Maintain schedules, milestone trackers, release logs, and development summaries, and coordinate information into regional and global dashboards.
• Track permitting and entitlement progress, ensuring documentation of approvals, assumptions, and decisions.
• Prepare executive summaries, status reports, and presentations for senior leadership and investment review.
• Lead teams to make strategic decisions for projects with multiple development pathways, ensuring the highest and best value outcomes for each site based on SME input.

• Bachelor's degree in Architecture, engineering, planning, development, construction management, or a related field. Advanced degree is a plus.
• 7 to 10 years of experience in North American data center development, real estate development, or equivalent.
• Demonstrated leadership in managing multidisciplinary teams and coordinating input from multiple subject matter experts.
• Strong knowledge of zoning, entitlements, CEQA/NEPA, and permitting processes across multiple jurisdictions in North America.
• Experience with BTS and Spec developments.
• Track record of managing budgets, schedules, and risks for complex development projects.
• Experience coordinating with municipalities, utility providers, and regulatory agencies.
• Ability to manage multiple customer requests and development pathways seamlessly, prioritizing competing needs effectively.
• Ability to manage projects with flexible development strategies and lead teams to the highest and best value.
• Lead comprehensive site due diligence in both desktop and detailed formats to inform acquisition decisions.
• Excellent project management, analytical, organizational, and communication skills.
• Experience with project management tools, Excel, PowerPoint, Procore, Dashboards, Outlook.
• Comfortable working in a fast-paced environment with shifting priorities.
• Willingness to travel domestically up to 20 percent.

The work for this position will be conducted in an office environment. The role may require maintaining a stationary position for extended periods of time, operating a computer and other office productivity machinery, attending to tasks for extended periods of time, and communicating accurate information effectively and efficiently. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this role.

The anticipated base salary range for this position is $140,000.00 - $160,000.00. Total compensation may also include a discretionary performance-based bonus. Note, the range takes into account a broad spectrum of qualifications, including, but not limited to, years of relevant work experience, education, and other relevant qualifications specific to the role.

Ares U.S. Core Benefits include Comprehensive Medical/Rx, Dental and Vision plans; 401(k) program with company match; Flexible Savings Accounts (FSA); Healthcare Savings Accounts (HSA) with company contribution; Basic and Voluntary Life Insurance; Long-Term Disability (LTD) and Short-Term Disability (STD) insurance; Employee Assistance Program (EAP), and Commuter Benefits plan for parking and transit.

Ares offers a number of additional benefits including access to a world-class medical advisory team, a mental health app that includes coaching, therapy and psychiatry, a mindfulness and wellbeing app, financial wellness benefit that includes access to a financial advisor, new parent leave, reproductive and adoption assistance, emergency backup care, matching gift program, education sponsorship program, and much more.

Job DescriptionAt Boeing, we innovate and collaborate to make the world a better place.

We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth.

Find your future with us.Boeing Commercial Airplanes Production Engineering Team is hiring a Mid-Level or Senior Level Staff Analyst .

This position supports recruiting, hiring, and workforce management of our manufacturing engineering population across Boeing Commercial Airplane programs.About the Team The Production Engineering Hiring Team is a small, fast-moving group responsible for sourcing and hiring engineers, interns, and technicians across Manufacturing Engineering, Equipment & Tooling Engineering, and Numerical Control (NC) Programming.

We partner closely with Talent Acquisition team, hiring managers, and university partners to build a strong, diverse pipeline of early-career and experienced technical talent.Role Summary We are seeking an energetic, highly organized Staff Analyst to support our hiring operations.

This person will project-manage hiring activities, engage with universities and candidates, coordinate closely with recruiters and hiring managers, schedule interviews, and create dashboards and metrics to track hiring performance.

The ideal candidate is proactive, personable, and skilled at managing multiple priorities in a collaborative environment.Primary Responsibilities:Manage end-to-end recruiting project activities for Manufacturing Engineering, Equipment & Tooling, and NC Programming roles, including interns, technicians, and engineers.Partner with the recruiting team and hiring managers to define role requirements, timelines, and candidate screening criteria.Conduct outreach to candidates via email, phone, and Linked In; manage candidate communications and provide timely status updates.Coordinate interview logistics: scheduling, interviewer briefings, room/virtual meeting setup, and candidate travel arrangements when needed.Plan and execute university hiring trips and on-campus events (career fairs, information sessions, technical demos).Develop and maintain hiring performance dashboards and reports (time-to-hire, pipeline velocity, source effectiveness, diversity metrics).Track requisition and candidate status; ensure data integrity and compliance with hiring policies.Assist with employer branding materials and event collateral for campus engagements.Provide post-offer onboarding coordination support in partnership with HR and hiring managers.

Continuously improve hiring processes and candidate experience through feedback and metrics-driven recommendations.Basic Qualifications (Required Skills/ Experience):Bachelor's degree (Business, Human Resources, Engineering, or a related field preferred but not required)2+ years' experience in recruiting operations, talent sourcing, university relations, workforce planning, or project coordination—experience supporting technical or manufacturing hiring strongly preferred.Demonstrated project management skills with the ability to manage multiple concurrent hiring projects and deadlines.Proficiency with Microsoft Excel and Power Point; experience building dashboards (Smartsheet) preferred.Experience with Applicant Tracking Systems (ATS) and recruiting tools (Linked In Recruiter, Handshake, etc.) desirable.Ability to travel for university visits and hiring events (frequency as required).3 or more years of related work experience or an equivalent combination of education and experience (Mid-Level)Preferred Qualifications (Desired Skills/Experience):Strong written and verbal communication skills; comfortable engaging with students, candidates, hiring managers, and campus partners.Energetic, personable, and highly engaging—able to represent the team on campus and at events.Strong attention to detail and excellent organizational skills.Collaborative and flexible team player who thrives in a small, fast-paced environment.Comfortable with technical topics and able to learn basic Manufacturing/NC concepts to better engage candidates.5 or more years of related work experience or an equivalent combination of education and experience (Senior Level)Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.Drug Free Workplace:Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.Shift:This position is for 1st shift.Union:This is a non-union-represented position.Pay and Benefits:At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.

Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements

Summary pay range for Mid-Level (Level 3): $83,300
- $112,700Summary pay range for Senior (Level 4): $104,500
- $141,450 Applications for this position will be accepted until Mar.

25, 2026Export Control Requirements:This position must meet U.

S.

export control compliance requirements.

To meet U.

S.

export control compliance requirements, a "U.

S.

Person" as defined by 22 C.

F.

R.

§120.62 is required.

"U.

S.

Person" includes U.

S.

Citizen, U.

S.

National, lawful permanent resident, refugee, or asylee.Export Control Details:US based job, US Person requiredEducationBachelor's Degree or Equivalent RequiredRelocationThis position offers relocation based on candidate eligibility.Visa SponsorshipEmployer will not sponsor applicants for employment visa status.ShiftThis position is for 1st shiftEqual Opportunity Employer:Boeing is an Equal Opportunity Employer.

Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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.

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.

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.

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.

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.