Engineering Jobs in Saint Paul Mn Remote
266 positions found — Page 2
Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations.
Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.
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Please apply or call one of us to learn more For further inquiries regarding the following opportunity, please contact our Talent Specialist, Lavanya at (224) 369-0873 Title: Cybersecurity Specialist Duration: 6 Months with a strong possibility of extension or full-time Location: St.
Paul, MN or Abbott Park (North Chicago) Travel: Very limited, possibly 1 2 times during the 6 month period, likely none.
Work Schedule: 8 hours/day, 5 days/week Only W2 candidates are eligible for this position.
Third-party or C2C candidates will not be considered Role Overview The role has a strong focus on medical devices, IoT/sensor-based products, mobile applications, and backend systems, including building security standards, guidance, dashboards, and validating the effectiveness of cybersecurity controls.
Description: As a Senior Cyber Specialist Digital Enablement, you will play an important role in ensuring that Client product technologies leveraged by healthcare providers and consumers are secure-by-design.
These technologies range from regulated medical devices to e-commerce and customer loyalty solutions.
You will evaluate the cybersecurity posture of new and existing product technologies, identify risks, recommend mitigation strategies, and ensure timely remediation and closure.
You will bring deep expertise in security risks, controls, mitigations, and global cybersecurity standards to Client product teams.
This role is expert-driven and guidance-focused, requiring strong technical depth, excellent communication skills, and a proven ability to navigate a large, global environment.
You will partner closely with internal product owners, developers, engineers, security architects, and external collaborators to evaluate solutions, strengthen governance, and guide secure product development.
Your work will directly contribute to the delivery of scalable, compliant, and secure product technologies, cloud services, and connected applications.
The role focuses on consultative responsibilities rather than hands on development or cybersecurity operations.
Primary Responsibilities Develop and maintain security guidance documentation, including standards and frameworks Conduct full-stack architecture reviews of products and platforms, including consumer identity platforms Perform cybersecurity threat modeling and prepare outputs for review by internal and external stakeholders Establish, document, and monitor compliance with risk based and regulatory-informed cybersecurity requirements for individual products Collaborate with product designers and developers to ensure security considerations are integrated early into product design discussions Validate the security of product software supply chains and product deployment pipelines Develop risk mitigation strategies and recommend appropriate security controls Assess and prioritize product security risks through detailed evaluation of vulnerability assessments and penetration testing results Evaluate the effectiveness of product cybersecurity controls Identify and effectively communicate cyber risk trends Ensure risk management plans are clearly documented, actionable, and accurately reflect the organization's risk tolerance Track and ensure product compliance with defined vulnerability remediation SLAs.
Participate in governance forums, architecture reviews, and technical discussions as a representative of Product Cybersecurity Required: At least 5 years of experience but typically 7 plus years of experience is required.
Possess expertise in valuing and implementing industry standards such as the ISO 27001/2, SOC 2, HITRUST and FedRAMP Information Security standard and the ISO 22301 Business Continuity Standard.
Experience with implementation and operational use of GRC toolsets (Governance Risk and Compliance).
Possess CISSP certification (or similar) and be knowledge of national and international regulatory compliances and frameworks such as ISO, SOX, BASEL II, EU DPD, HIPAA, and PCI DSS.
Ability to influence policy/standards for emerging tech (AI, quantum, cloud).
About You 7 years of experience in cybersecurity or technology architecture, assessment, or consulting with a focus on the development of secure digital product technologies Experience conducting risk assessments, control assessments, and governance reporting Ability to clearly articulate cybersecurity risks and recommended mitigations to product development teams Strong understanding of modern technology stacks, including cloud native architectures and API-driven services Understanding of core concepts related to identity and access management, secure software development, network security, and cryptography Familiar with device to device, service to service, and consumer identity and access management practices Familiarity with modern phishing-resistant authentication technologies, including WebAuthn and Passkeys Understanding of cybersecurity risks associated with emerging technologies, including quantum computing and artificial intelligence Knowledge of global medical device regulatory frameworks Excellent analytical, problem-solving, and communication skills Working knowledge of security frameworks and standards (e.g., NIST, ISO/IEC 27001, PCI DSS) Strong collaboration and influencing skills, with the ability to work effectively across technical and business teams Exceptional written and verbal communication skills, with the ability to tailor complex information for diverse audiences Strong analytical and problem solving skills, with the ability to work independently and manage multiple priorities Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Information Assurance, Software Engineering, or a related field but not mandatory if experience is strong Preferred Qualifications Strong preference for candidates with cybersecurity experience across e commerce, mobile apps, IoT, or medical devices.
Preferred certifications include CISSP, HCISPP, CISM, CCSP, SABSA Foundation, CISA, or similar industry-recognized certifications Background in application security, product security, and secure development practices.
Experience supporting mobile applications, sensors, and backend operational systems.
Ability to draft, influence, and operationalize cybersecurity policies and standards.
Reading Static Application Security Testing (SAST)/Dynamic Application Security Testing (DAST) outputs, pen test results; collaborating with teams; no major required internal tools.
Top 3 required skills: Cybersecurity consulting w/ development teams (software/hardware).
Ability to influence policy/standards for emerging tech (AI, quantum, cloud).
Ability to evaluate the effectiveness of cybersecurity controls.
Top 3 preferred skills: Medical device or IoT cybersecurity; development background; broader product security experience.
Certifications: Not required; experience is prioritized over certs.
Industry experience: Medical device preferred; e commerce, IoT, cloud, and mobile app security also acceptable.
Systems used daily: Reading Static Application Security Testing (SAST)/Dynamic Application Security Testing (DAST) outputs, pen test results; collaborating with teams; no major required internal tools.
Personality traits: Curious, detail oriented, collaborative, strong communication, relationship builder.
Interview Process: One Teams Video interview About us: DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond.
The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.
DivIHN is an equal opportunity employer.
DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.
SOX, ISO, HIPAA, HITRUST, SOC 2, ISO 27001/2, BASEL II, EU DPD
Pride Health is seeking an Environmental Health & Safety Specialist for an American multinational conglomerate operating in the fields of industry, worker safety, healthcare, and consumer goods.
Job Title: Environmental Health & Safety (EHS) Specialist
Location: St. Paul, MN (On-Site)
Job Type: Contract
Length: 12-Months
Hours: 40 hours/wk, 8 hours/day
Pay Rate: $23.00 - $26.65 per hour
Description:
- Division EHS Contact for assigned divisions within Company Center R&D community
- Lead EHS risk assessments including escalating to additional subject matter experts as needed
- Serve as hazardous waste coordinator including updating waste stream profiles for new materials, planning for lab clean-out days, and connecting researchers with guidance for miscellaneous waste types.
- Lead routine EHS inspections
- Track EHS activities such as action items and pending approvals
- Maintain active communication channels within EHS team and with researchers
- Share information with applicable team members including escalation of issues, sharing successes and noticed trends.
- Activities to support EHS programs related to risk assessment and control, including personal protective equipment
- Resource will support mostly support office functions for incidents, assessments, documentation.
Requirements:
- Bachelor's degree or higher (ideal discipline; technical/science/engineering/EHS)
- Prior experience in R&D settings, ideally seeking 2-3+ years of experience.
- Technical, industrial, chemistry, or environmental health and safety experience
- Willingness to learn risk assessment processes and databases/tools
- Strong communication skills
- Organization
- Project management
- Documentation
Benefits that Pride Health offers:
Pride Health offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), a 401(k)-retirement savings, life & disability insurance, an employee assistance program, identity theft protection, legal support, auto and home insurance, pet insurance, and employee discounts with some preferred vendors.
Apply Today! If you are interested in the position, please email your resume to for immediate consideration.
*At Securian Financial the internal position title is Data Science Sr Con.*
Position Overview
As a Lead Data Scientist at Securian Financial, you are a recognized expert and technical leader within the organization. You will apply deep analytical and machine learning expertise to solve complex enterprise problems while shaping the technical direction of data science and AI initiatives. You seek to understand first, build scalable solutions that drive strategic growth and value, and thrive in a collaborative, teamwork-oriented environment.
You will play a key role in advancing our enterprise AI and advanced analytics capabilities, influencing tooling standards, MLOps practices, and responsible AI adoption across the organization. Our company values innovation, collaboration, and excellence, and we offer a supportive and inclusive environment where diverse perspectives are encouraged and professional growth is prioritized.
Key Responsibilities
Design, develop, and productionize advanced machine learning and AI models in partnership with data engineering and software engineering teams.
Establish and promote MLOps best practices, including experiment tracking, model versioning, reproducibility, CI/CD, and model monitoring using tools such as MLflow and DSpy.
Lead the design and evaluation of AI and generative AI solutions, including LLM-based systems, and agent-based workflows.
Collaborate with cross-functional team to identify, prioritize, and deliver high-impact, data-driven solutions.
Communicate complex analytical and model-driven insights to technical and non-technical audiences through clear narratives, reports, and presentations.
Ensure model quality, robustness, and regulatory alignment through rigorous testing, validation, and explainability techniques.
Drive adoption of enterprise standards for data science, machine learning, and responsible AI.
Identify opportunities for process improvements and automation using advanced analytics and AI techniques.
Lead and mentor more junior data scientists, providing guidance and support in their professional development while working on projects.
Preferred Qualifications
A Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
At least 5 years of experience in data science or a related field, with a minimum of 2 years in a project leadership role.
Experience building and deploying production solutions
Experience with MLOps tools and practices, including MLflow (or similar) for experiment tracking and model management.
2+ years of experience in Insurance, actuarial, or a related field
Proficiency in programming languages such as Python
Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
Solid understanding of statistical analysis, data visualization, data wrangling techniques, NLP approaches, ML model selection.
Solid understanding of model approaches to satisfy regulatory requirements regarding explainability/interpretability of advanced AI/ML models
Excellent problem-solving skills and the ability to think critically and analytically.
Strong communication and presentation skills, with the ability to convey complex concepts to non-technical audiences.
Demonstrated ability to manage multiple projects and prioritize tasks effectively.
A passion for continuous learning and staying current with industry trends and developments.
Preferred Skills
Experience with natural language processing (NLP), LLMs, prompt engineering, and advanced ML models.
Familiarity with modern ML debugging, evaluation, and optimization tools such as DSpy or equivalent.
Knowledge of responsible AI practices, including bias detection, fairness assessment, and model risk management.
Knowledge of data governance and data privacy regulations.
Background in finance, healthcare, or other specialized industries.
#LI-hybrid **This position will be in a hybrid working arrangement.**
Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes), you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.
The estimated base pay range for this job is:
$111,300.00 - $207,800.00Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.
Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:
Paid time off:
We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.
Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.
Holidays: Securian provides nine company paid holidays.
Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.
Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.
Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.
Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:
Mental Wellness and Disability
Pride at Securian Financial
Securian Young Professionals Network
Securian Multicultural Network
Securian Women and Allies Network
Servicemember Associate Resource Group
For more information regarding Securian's benefits, please review our Benefits page.
This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.
Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).
To view our privacy statement click here
To view our legal statement click here
Remote working/work at home options are available for this role.
*Securian Financial Groups internal position title is Engineering Sr Analyst.
Position Summary:
Are you an experienced application developer passionate about creating impactful technology solutions? Securian Financial is seeking an Engineering Senior Analyst with 2-4 years of proven application development experience, specifically skilled in Java, Mainframe, and Informatica, to join our Life & Annuity Actuarial Systems Technology team. As a crucial member of our agile scrum team, you'll innovate, optimize data processing, and support critical actuarial systems, leveraging a diverse technology stack including AWS, Spring, SQL Server, and Oracle.
Responsibilities include but not limited to:
- Own critical business application support, promptly resolving complex production issues to ensure reliable and efficient operations.
- Drive modernization initiatives such as Application Rationalization and migration to AWS, significantly enhancing our systems' capabilities and performance.
- Become a subject matter expert in Individual Life and Annuity business processes, influencing strategic decisions and technical planning.
- Cultivate strong relationships with stakeholders and cross-functional teams, fostering collaboration and alignment.
- Lead and execute projects through detailed analysis, thoughtful design, robust development, rigorous testing, seamless integration, and successful implementation.
- Encourage innovation and creativity through a proactive test-and-learn approach, contributing actively to continuous improvement.
Qualifications:
- 2-5 years of proven professional experience in application development.
- Extensive experience (3+ years) in Java development, particularly using Spring and Spring Batch frameworks.
- Demonstrated ability to tackle and resolve complex technical challenges.
- Excellent communication and interpersonal skills, thriving in a collaborative team environment.
- Strong expertise in Mainframe systems and Informatica ETL tools.
Preferred Qualifications:
- Experience in system design and analysis.
- Expertise in Mainframe systems and Informatica ETL tools.
- Previous exposure to actuarial systems or financial services technology environments.
#LI-Hybrid **This position will have a hybrid working arrangement, working in-office for a minimum of 3 days a week.**
Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes) you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.
The estimated base pay range for this job is:
$72,000.00 - $134,000.00Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.
Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:
Paid time off:
We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.
Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.
Holidays: Securian provides nine company paid holidays.
Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.
Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.
Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.
Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:
Mental Wellness and Disability
Pride at Securian Financial
Securian Young Professionals Network
Securian Multicultural Network
Securian Women and Allies Network
Servicemember Associate Resource Group
For more information regarding Securian's benefits, please review our Benefits page.
This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.
Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).
To view our privacy statement click here
To view our legal statement click here
Remote working/work at home options are available for this role.
Duration: 9 months (possibility of extension)
Location: Little Canada, MN (Onsite)
Job Summary:
We are seeking a skilled and detail-oriented Technician to support our Systems Verification team. This contractor role is ideal for someone with hands-on experience in testing, troubleshooting, and supporting engineering teams in motion control, robotics, and system-level verification. You'll work closely with engineers to execute test plans, build and maintain test fixtures, and contribute to product validation in a regulated environment.
Top Skills/Experience:
Software is a big part of the position, but a good amount of our testing mechanical aptitude as well. This is needed for assembling fixtures, soldering, etc.
We need someone that has solid mechanical skills with the ability to build, configure, and troubleshoot fixtures used in system and verification testing.
with hands-on experience in testing, troubleshooting, and supporting engineering teams
Key Responsibilities:
* Perform system-level test execution and collect data for analysis.
* Build, maintain, and troubleshoot test fixtures and setups (ECAD/MCAD, robotics, motion control).
* Support test method development and validation activities.
* Assist in programming and automation tasks using LabVIEW and Python.
* Document test procedures, results, and observations accurately.
* Collaborate with engineering teams to support hardware/software integration and verification.
Additional Responsibilities:
* Support project planning and coordination under guidance from engineers.
* Contribute to process improvements and technical reviews.
* Maintain lab equipment and ensure test environments are compliant and functional.
* Assist in identifying, sourcing, and acquiring capital equipment and technical resources required for testing and development
Qualifications:
* Associate's degree or technical certification in electronics, mechatronics, or related field; equivalent experience considered.
* 5+ years of hands-on experience in a technician role, preferably in medical devices or regulated industries.
* Solid mechanical skills with the ability to build, configure, and troubleshoot fixtures used in system and verification testing
* Proficiency in using test equipment, tools, and software for data collection and analysis. - Solid mechanical skills with the ability to build, configure, and troubleshoot fixtures used in system and verification testing.
* Familiarity with LabVIEW, Python, SolidWorks, and Altium is a plus.
* Strong documentation and organizational skills.
* Ability to work independently and collaboratively in a team environment.
* Clear communication skills and attention to detail.
Preferred Experience:
* Experience supporting engineering teams in product development and verification.
* Background in motion control, robotics, or electromechanical systems.
* Understanding of FDA and ISO standards for testing and documentation.
* Skilled in electronics assembly, including circuit building, soldering, and troubleshooting
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.