Engineering Jobs in Dana Point Ca Flexible
243 positions found — Page 2
- Full Stack, AI/ML ( Remote) Pay Range: 65
- 75/hr
*Please include Linkedin on your resume
* Role Overview: The Enterprise Architect
- Full Stack, AI/ML will be responsible for defining and leading enterprise grade solution architectures that integrate modern full stack engineering practices with scalable AI/ML capabilities.
The role requires deep experience across application engineering, MLOps, cloud-native architectures, data engineering, and enterprise integration.
You will work closely with business, product, engineering, and data science teams to conceptualize, architect, and deliver complex, secure, scalable, and high performing digital ecosystems powered by AI/ML.
This role requires 12+ years of hands-on and architectural experience in large-scale enterprise environments.
Key Responsibilities 1.
Enterprise Architecture & Strategy Define end-to-end architecture for full stack and AI/ML systems across discovery, data management, model development, deployment, and operations.
Establish enterprise architecture principles, standards, and governance models for AI-enabled platforms.
Drive digital modernization and cloud transformation initiatives aligned with business goals.
Evaluate emerging technologies (AI/ML, DevOps, MLOps, cloud platforms) to accelerate enterprise innovation.
2.
AI/ML Solution Architecture Architect scalable ML pipelines and automated workflows including data ingestion, feature engineering, model development, evaluation, deployment, and monitoring.
Design and implement CI/CD and MLOps frameworks.
Work with data scientists, ML engineers, and analytics engineers to operationalize AI/ML models at scale.
Ensure governance, compliance, versioning, reproducibility, and monitoring for AI/ML systems.
3.
Full Stack & Platform Architecture Design and review enterprise applications combining backend, frontend, cloud APIs, and microservices.
Lead architecture for full stack development teams including scalable frontend, middleware, data APIs, microservices, and cloud-native services.
Guide solution teams on performance optimization, caching, distributed systems, and containerized deployments (Docker/Kubernetes).
Oversee API-first integration patterns, event-driven designs, and asynchronous architectures.
4.
Cloud & DevOps/MLOps Integration Architect multi-cloud and hybrid solutions across AWS, Azure, and GCP ensuring interoperability and vendor-neutral design.
Lead cloud automation, DevOps pipelines, infrastructure as code, and observability tooling.
Implement secure, robust API management and enterprise connectivity models.
5.
Stakeholder Leadership & Governance Partner with business leaders to translate complex business goals into technical roadmaps.
Mentor engineering teams and foster best practices in solution delivery, coding, security, scalability, and architecture standards.
Facilitate architecture review boards, technical audits, and solution governance.
This is a hands-on, operations-focused role responsible for the reliability, lifecycle management, and continuous improvement of compute, storage, and networking infrastructure.
The ideal candidate thrives in large-scale production environments, excels in troubleshooting complex hardware issues, and is passionate about automation, reliability, and operational excellence.
Responsibilities Own and operate physical datacenter hardware including compute, storage, and networking systems Execute day-2 hardware operations: installation, break/fix, firmware upgrades, patching, lifecycle management Manage hardware capacity planning, expansions, refresh cycles, and decommissions Troubleshoot complex issues related to: Server hardware (CPU, memory, disks, NICs, HBAs) Storage systems and disk subsystems Network connectivity and physical switches Manage firmware, BIOS, and hardware management controllers (iDRAC, iLO, Redfish, etc.) Collaborate with platform, SRE, network, storage, and security teams during incidents and maintenance Improve hardware reliability through standardization, automation, and proactive monitoring Build automation for provisioning and operations (Ansible, CI/CD, IaC, etc.) Lead incident response and drive RCA, corrective, and preventive actions Maintain documentation including runbooks, standards, and operational playbooks Mentor junior team members and help increase operational maturity Requirements 7+ years of experience in infrastructure, datacenter, or hardware engineering Strong hands-on experience with large-scale server, storage, and network hardware Expertise in x86 architecture, CPU topology, NUMA, memory/I/O subsystems Experience operating enterprise storage systems with strong understanding of performance and resiliency Familiarity with L2/L3 networking, VLANs, NIC bonding, and physical switching Strong Linux fundamentals and ability to diagnose hardware-related OS issues Experience in hardware lifecycle management and vendor coordination Proven ability to automate operational workflows Experience supporting highly available, production-grade infrastructure with on-call rotation Nice to Have Experience with private cloud or on-prem cloud hardware platforms Familiarity with OME, OneView, Intersight, or similar vendor fleet management tools Knowledge of bare-metal provisioning systems and automation tooling Experience integrating hardware with virtualization or container platforms Understanding of IPMI, Redfish, and other hardware management APIs Vendor certifications or hands-on expertise with major server/storage manufacturers Experience operating infrastructure across multiple datacenters or global environments
* Please have Linkedin on your resume
* Job Description: Guide the team and organization on how to use Agile/Scrum practices and values to delight customers.
Plan, coordinate, monitor, and support the implementation of multiple small to medium systems and/or products.
Guide the team on self-organizing to fill in the intentional gaps left in the Agile/Scrum frameworks.
Assess the Scrum Maturity of the team and organization and coach the team to higher levels of maturity, at a pace that is sustainable and comfortable for the team and organization.
Guide the team's operations by facilitating ceremonies (e.g.
daily standup, sprint planning) and instill Agile principles into daily activities to ensure smooth functioning of the delivery team.
Shield the team from interruptions, proactively identify and remove impediments that may impact the delivery of the product.
Act as a buffer between the team and process overhead, so each team member can focus on the timely delivery of software.
Build a trusting and safe environment where problems can be raised without fear of blame, retribution, or being judged, with an emphasis on healing and problem-solving.
Facilitate getting the work done without coercion, assigning, or dictating the work.
Facilitate discussion, decision making, and conflict resolution.
Assist with internal and external communication, improving transparency, and radiating information.
Keep external stakeholders, collaborators, and other interested parties well-informed on team progress and activities.
Support and educate the Product Owner, especially on grooming and maintaining the product backlog.
Provide all support to the team using a servant leadership style whenever possible, and leading by example.
Requirements: Requires BS/BA in Computer Science, Engineering, or related discipline with IT focus degree; minimum of 3 years experience implementing Agile methodologies; or any combination of education and experience, which would provide an equivalent background.
Preferred CSM, CSPO or equivalent.
Preferred experience within small sized Agile implementations (e.g.
1-5 teams).
Business analysis skills.
Knowledge and experience in Scaled Agile Framework (SAFe) Proficiency.
Capable of partnering with the product owner/business partners to co-create value and communicate with all levels of stakeholders.
Should have good knowledge in Work Intake and Release Management process.
Finance experience is an added advantage.
Experience working in Data projects is mandatory.
Good Knowledge and experience in AWS cloud & Big Data Technologies.
Experience managing large Big Data Project (25-30 team members).
- Tester (remote) Pay: $37/hr Role Summary: The Manual QA Tester will be responsible for validating ETL processes, data transformations, reporting outputs, and end-to-end healthcare data workflows.
The role requires deep understanding of data quality, SQL-based validation, Microsoft BI tools, and healthcare compliance standards.
The tester will work independently while guiding junior testers and supporting test leads.
Key Responsibilities: Analyze business, functional, and technical requirements to identify testable scenarios and clarify ambiguities in user stories and specifications.
Design comprehensive manual test plans, test scenarios, and test cases for applications and data platforms.
Validate data mapping, transformations, aggregations, and business rules across source systems, staging layers, data warehouses, and reporting layers.
Perform data integrity checks, reconciliations, and consistency validations using SQL and other data validation techniques.
Test and validate ETL pipelines, SSIS packages, batch jobs, scheduled workflows, and data extracts for accuracy, completeness, and compliance.
Validate SSRS reports, BI dashboards, and downstream deliverables to ensure alignment with warehouse data and business expectations.
Execute manual testing for web applications, Windows-based desktop applications, backend/data services, ETL processes, and reporting solutions.
Perform smoke, system, integration, regression, and user acceptance testing (UAT) to validate end-to-end healthcare workflows and data flows.
Identify, log, track, and manage defects using tools such as Jira or Azure DevOps, and collaborate with developers and data engineers to resolve issues and verify fixes.
Document test execution results, defect reports, test evidence, and sign-off artifacts to support quality assurance, audits, and compliance.
Ensure all testing activities comply with healthcare regulatory standards such as HIPAA and support audit and compliance requirements.
Communicate test results, risks, quality metrics, and recommendations clearly to cross-functional stakeholders.
Guide and mentor junior testers, assist test leads with reporting and estimation, and contribute to continuous QA process improvements.
Required Skills: 46 years of experience in manual testing, with strong focus on ETL, data transformation, and data validation.
Proven experience in healthcare domain testing, including regulatory and compliance requirements (HIPAA).
Strong hands-on experience with Microsoft database technology stack (SQL Server, SSIS, SSRS).
Advanced SQL skills for data validation, reconciliation, and integrity checks.
Experience testing data warehouses, staging layers, and reporting systems.
Hands-on experience with defect tracking tools such as Jira or Azure DevOps.
Strong understanding of testing methodologies, testing life cycle, and QA best practices.
Ability to design efficient test cases, create test data, and execute tests independently.
Strong analytical, problem-solving, and communication skills.
Experience working in Agile environments and collaborating with cross-functional teams.
Qualification: Bachelors degree in Computer Science, Information Technology, Engineering, or a related field.
46 years of relevant experience in manual QA testing with ETL and data-focused applications.
Healthcare domain experience is mandatory.
Experience with Microsoft BI and database tools is required.
Relevant testing or healthcare IT certifications are a plus.
The ideal candidate will combine deep data science expertise with architectural thinking to deliver intent-driven, context-aware, and production-ready AI solutions across cloud platforms.
This role requires 12+ years of hands-on and architectural experience in large-scale enterprise environments.
Key Responsibilities GenAI & NLP Solution Design Design and architect Generative AI solutions leveraging Large Language Models (LLMs).
Build and optimize NLP pipelines for intent detection, entity extraction, sentiment analysis, summarization, and conversational understanding.
Apply generative AI techniques to automate and enhance complex language-based interactions.
Design scalable AI architectures supporting multi-channel conversational platforms (web, chat, voice, APIs).
Intent Design & Conversational AI Analyze user behavior and business requirements to define intent hierarchies.
Design dialogue flows, fallback strategies, and contextual conversation handling.
Improve conversational accuracy using prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG).
Ensure conversational experiences align with business goals and are explainable.
Data Science & Model Development Develop, train, evaluate, and optimize ML and deep learning models for NLP use cases.
Work with structured and unstructured data.
Perform feature engineering, experimentation, and model validation.
MLOps & Production Readiness Implement MLOps pipelines for model versioning, deployment, monitoring, and retraining.
Ensure production readiness with observability, performance tracking, and governance controls.
Collaborate with DevOps teams for enterprise AI integration.
Cloud AI & Architecture Design and deploy AI solutions on AWS, Azure, or GCP.
Leverage managed AI/ML services for training and inference.
Ensure scalability, security, compliance, and cost optimization.
Collaboration & Leadership Collaborate with product managers, engineers, UX designers, and stakeholders.
Provide architectural guidance and technical leadership.
Mentor data scientists and engineers on GenAI and MLOps best practices.
Required Skills Core Technical Skills Strong expertise in Natural Language Processing (NLP).
Hands-on experience with Generative AI and Large Language Models (LLMs).
Proven experience in Intent Design and conversational AI systems.
Strong background in Data Science and Machine Learning.
Experience implementing MLOps frameworks.
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.
