Engineering Jobs in Canton Ohio Flexible

247 positions found — Page 2

Project Manager
Salary not disclosed
Massillon, OH 1 week ago

PROJECT MANAGER!


$80,000-$85,000


STARK COUNTY!


The Project Manager is responsible for providing management of projects and end of warranty period.


ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Order execution
  • Order logging/ Order updating
  • Project communication
  • Review bills of material and engineering releases
  • Obtain and negotiate quotes for major pieces of equipment
  • Monitor shop and project progress; respond to design and material issues
  • Coordinate shipping with customer and shipping department
  • Coordinate project manuals and spare parts
  • Start-up coordination between customer and engineering/field service
  • Follow-up with customer and ensure acceptance is obtained
  • Document warranty period and review warranty claims


REQUIREMENTS

  • Minimum equivalent of a bachelor’s degree in business, computer science or related area
  • Minimum Five (5) years of experience in related project management responsibilities or a combination of education and experience is required. Project Management Professional (PMP) certification is preferred
  • Knowledge of Microsoft Projects is a must
  • Very good interpersonal and organizational skills are necessary
  • Ability to understand ERP and project management protocol.
  • Must have the capacity to create project schedules with associated milestones.
  • Ability to read and interpret documents such as purchase orders, detailed engineering drawings and product manuals.
  • Communicate effectively with customers, vendors, and other employees of the organization.
  • Should be comfortable in making customer and project schedule presentations.
Not Specified
Industrial Engineer
Salary not disclosed
Louisville, OH 1 week ago

Company Description

H-P Products Engineered Tube Bends is a leader in tube bending and fabrication, offering solutions such as bending, end forming, welding, and laser tube cutting. The company also provides a wide range of readily available products, including standard elbows, bends, tubing, and installation accessories. Since 1948, H-P Products has built a reputation for quality, consistency, and customizability. With decades of expertise, we strive to deliver precision-engineered solutions tailored to meet diverse customer needs.


Position summary

We are a small, privately owned manufacturing company seeking a hands-on Industrial Engineer to improve how we plan, build, and measure our work. This role will be responsible for validating and maintaining production part times used for scheduling and capacity planning, while driving root cause analysis and process improvements across the shop floor. The ideal candidate is highly data-driven, practical, and collaborative—able to build trust with an hourly workforce and turn analysis into improvements that stick.


Key responsibilities

Production standards / part time validation

· Validate, establish, and maintain accurate production part times (routing/operation standards) to support scheduling and capacity planning.

· Conduct time studies (direct observation, work sampling, video/time capture where appropriate), document methods, and ensure standards reflect current best practice.

· Partner with Scheduling/Production to resolve time standard issues that impact promise dates, bottlenecks, and throughput.

· Implement a sustainable process for periodic review and updates of part time after changes in tooling, methods, product design, or staffing.


Continuous improvement / process optimization

· Map processes (current/future state), identify waste, and recommend improvements in layout, material flow, work methods, and standard work.

· Support line balancing, cell design, and capacity analysis to improve flow and reduce lead time.

Root cause analysis & problem solving

· Facilitate root cause analysis for production issues (scrap, rework, downtime, missed schedules, productivity gaps).

· Use structured problem-solving tools (5 Whys, Fishbone, Pareto, A3, PFMEA as needed) and track corrective actions to closure.

· Create simple, visual, shop-floor-friendly metrics and feedback loops that drive daily improvement.


Data, reporting, and cross-functional collaboration

· Analyze production data to identify trends and improvement opportunities (cycle time, downtime, OEE elements, labor efficiency, schedule attainment).

· Work closely with Production, Scheduling, Quality, Maintenance, Engineering, and Supply Chain to implement improvements and sustain gains.

· Train and coach operators and lead on standard work, time study participation, and continuous improvement concepts.


Required qualifications

· Bachelor’s degree in industrial engineering, Manufacturing Engineering, Mechanical Engineering, or related field (or equivalent experience).

· Demonstrated experience validating/setting labor standards and production part time in a manufacturing environment.

· Strong root cause analysis and process improvement experience with measurable results.

· Data-driven mindset with strong Excel skills (ability to analyze and present data clearly).

· Proven ability to work effectively with hourly teams; comfortable on the shop floor daily.

· Strong communication skills—able to explain the “why” and drive adoption without being heavy-handed.


Preferred qualifications

· Experience in small-to-mid-sized manufacturing (high-mix/low-to-mid volume is a plus).

· Familiarity with Lean tools (5S, standard work, Kaizen, value stream mapping, visual management).

· Experience working with ERP systems (routing, labor reporting, scheduling inputs).

· Basic statistical/process capability knowledge (SPC, Cp/Cpk) is a plus.


Success measures (first 6–12 months)

· Production part time/routings are validated, updated, and trusted by Scheduling and Production.

· Improved schedule attainment and capacity planning accuracy tied to updated standards.

· Reduction in key losses (scrap, rework, downtime, excessive labor variance) through Root Cause Analysis and sustained countermeasures.

· Strong working relationships with operators/leads and increased engagement in improvement efforts.


Work environment

· Shop-floor focused role in a hands-on manufacturing setting.

· Requires frequent standing/walking and direct observation of production processes

· On Site - Louisville, OH 44641

Not Specified
Nuclear Engineer
Salary not disclosed
East Canton, Ohio 1 week ago

Job Title : Nuclear Engineer (Naval Reactors Engineer) Category / Component : Officer • Active Overview Design, regulate, and oversee the Navy's nuclear propulsion program, including reactor design, fleet operations, and eventual defueling and decommissioning of nuclear powered ships and submarines from Naval Reactors Headquarters and associated Department of Energy laboratories and shipyards.

Key Responsibilities Provide technical direction in areas such as reactor and fluid systems design, reactor physics, materials development, component design for steam generators, pumps, and valves, instrumentation and control for reactor and propulsion plants, testing and quality control, radiation shielding, and chemistry and radiological controls; review designs and analyses from laboratories, shipyards, and industry partners; coordinate with fleet units to ensure safe and reliable nuclear plant operation.

What to Expect Assume significant technical responsibility early in your career as part of a lean headquarters staff; work primarily in an analytical and oversight role rather than operating plants at sea; balance long term engineering projects with time sensitive fleet and shipyard issues; frequent coordination with senior civilian engineers, naval officers, and technical teams; high expectations for attention to detail, judgment, and written and oral communication.

Work Environment Work mainly at Naval Reactors Headquarters in the Washington, District of Columbia area with regular engagement with Department of Energy laboratories, nuclear training sites, shipyards, and nuclear powered ships and submarines; office based work that includes document reviews, technical meetings, inspections, and site visits rather than day to day shipboard watchstanding.

Pathways, Training & Advancement Officer commissioning through programs such as Officer Candidate School or the Nuclear Propulsion Officer Candidate program followed by a structured technical qualification program at Naval Reactors; rotational exposure to laboratories, prototypes, shipyards, and fleet support issues; progressive responsibility leading projects and becoming a subject matter expert, with opportunities for professional military education and advanced graduate study in technical fields.

Entry through the Nuclear Propulsion Officer Candidate program for qualified college students and recent graduates, or selection via Officer Candidate School for those who already hold qualifying degrees; all applicants must meet Nuclear Propulsion Program academic and technical screening standards in addition to general officer commissioning requirements.

Qualifications All Navy jobs require meeting general enlistment or commissioning standards, which typically include: Eligibility to serve in the United States Navy, which may involve United States citizenship or other legal residency and work status, depending on the program and current law and policy A high school diploma or equivalent for enlisted positions, and a bachelor's or qualifying professional degree for officer positions Meeting age limits that vary by program and are set in law and Navy policy.

Some communities have more restrictive age ranges Meeting medical, vision, and dental standards, including body composition and physical fitness requirements, with some jobs requiring more demanding standards Meeting character and conduct standards, including background screening Achieving required test scores for your program, such as the Armed Services Vocational Aptitude Battery for enlisted roles or officer qualification tests for officer programs Eligibility for a security clearance when required for your rating or designator Additional qualifications can include specific skills, education, licensure, or experience that are unique to a job or community and will be reviewed with you by a recruiter.

Additional qualifications for this job may include: Completion of a rigorous technical degree in engineering, physics, mathematics, or a closely related field that includes strong backgrounds in calculus and physics; outstanding academic record, particularly in technical coursework; United States citizenship and eligibility for a high level security clearance; strong technical aptitude and comfort with detailed analytical work.

Education Education benefits are available through standard Navy programs such as Tuition Assistance, the Post-9/11 GI Bill, ACE-recommended college credit for Navy training, Navy COOL-funded certifications, USMAP apprenticeships, and other Navy College Program opportunities.

Specific options depend on the Sailor's status, training, and current Navy policy.

Pay, Benefits & Service Pay, benefits, and service commitments follow standard Navy Active and/or Reserve policies for this type of role, including basic pay, allowances when eligible, health coverage, and retirement options.

Exact entitlements, special pays, and service obligations depend on program, component, years of service, and current law and Navy guidance.

Incentives Incentives such as bonuses, special pays, and loan repayment may be available at times for specific ratings or communities, but they change frequently and cannot be guaranteed.

Applicants must confirm current incentives and eligibility with an official Navy recruiter or authoritative Navy source.

Notes and Disclaimers This description is a general overview of typical duties, training, and opportunities in this community.

It does not replace official Navy instructions, policies, or contracts and does not guarantee specific assignments, training, incentives, or outcomes.

Actual opportunities depend on Navy needs, individual performance, screening results, and current law and policy.

Not Specified
Production Scheduler
🏢 H-P Products Engineered Tube Bends
Salary not disclosed
Louisville, OH 2 weeks ago

Company Description

H-P Products Engineered Tube Bends is a specialized provider in tube bending and fabrication, featuring expertise in bending, end forming, welding, and laser tube cutting. The company offers a variety of essential products, including standard elbows, bends, tubing, and installation accessories. With a commitment to quality, consistency, and customizability, H-P Products has been serving its customers with innovative solutions since 1948.


Job Title: Production Scheduler – Velocity Scheduling System (Bend and Non-Bend) 

Department: Operations 

Reports To: Production Manager 

FLSA Status: Exempt 

Location: H-P Products Inc.

 

Position Summary 


The Production Scheduler is responsible for planning, coordinating, and maintaining production schedules across both bend and non-bend areas using the Velocity Scheduling System (VSS). This role ensures efficient flow through all manufacturing processes by visually managing workflow, balancing workloads, and maintaining buffer control for bend operations. 


The Scheduler plays a key role in supporting production efficiency, maximizing throughput, and achieving on-time delivery while communicating closely with all departments to maintain visibility and control over shop priorities.              


Key Responsibilities 

 

1. Scheduling and Workflow Management 

  • Develop, maintain, and update visual schedules for bend and non-bend operations using Velocity Scheduling principles. 
  • Manage the bend buffer to regulate work release, ensuring flow stability and preventing production bottlenecks. 
  • Sequence and prioritize jobs based on due dates, material availability, and shop capacity. 
  • Track and monitor work-in-process (WIP) to ensure timely progression of jobs through all departments. 
  • Coordinate with leads and supervisors to balance workloads and ensure resources are allocated effectively. 
  • Adjust schedules proactively in response to changing priorities, materials, or customer needs. 


2. Communication and Coordination 

  • Serve as the primary scheduling liaison between Production, Sales, Engineering, and Purchasing
  • Lead or participate in daily and weekly Velocity Scheduling System meetings, providing updates on flow, constraints, and buffer status. 
  • Communicate schedule updates and production adjustments promptly to all affected departments. 
  • Collaborate closely with bend operators, fabrication leads, and assembly teams to maintain synchronization between processes. 


3. Data Tracking and Performance Monitoring 

  • Monitor and report on key performance indicators (KPIs), including on-time delivery, throughput, buffer health, and schedule adherence. 
  • Maintain accuracy of schedule data in ERP/MRP systems and ensure visibility through the Velocity Scheduling Board
  • Identify trends, delays, or process constraints and recommend adjustments for continuous flow improvement. 
  • Support the Production Manager in analyzing capacity and planning for upcoming workloads. 


4. Continuous Improvement 

  • Use VSS tools to identify and eliminate production bottlenecks. 
  • Work with team leads to evaluate and adjust buffer sizes for optimal flow. 
  • Participate in lean and continuous improvement initiatives that enhance scheduling efficiency and visibility. 
  • Promote a culture of proactive problem solving and visual management across departments. 


Qualifications 


Education and Experience: 


  • Associate or Bachelor’s degree in Business, Operations Management, Industrial Engineering, or related field preferred. 
  • Minimum production planning, or coordination experience in a manufacturing or fabrication environment
  • Experience in tube bending, metal fabrication, or assembly preferred. 
  • Knowledge of the Velocity Scheduling System, Theory of Constraints (TOC), or Lean Manufacturing principles strongly desired. 


Skills and Competencies: 

  • Must be able to make decisions when no one is around 
  • Must take total ownership of the scheduling life cycle 
  • Start all jobs to ensure success 
  • Strong organizational and analytical skills. 
  • Excellent communication and collaboration abilities. 
  • Detail-oriented with the ability to manage multiple priorities in a fast-paced environment. 
  • Proficiency in ERP/MRP systems, Excel, and visual management tools. 
  • Understanding manufacturing workflows, including bending, welding, fabrication, and finishing processes. 

 

Performance Metrics:

  • On-time delivery rate (bend and non-bend). 
  • Throughput improvement and average lead time reduction. 
  • Buffer health and WIP control. 
  • Schedule accuracy and responsiveness to change. 
  • Communication effectiveness across departments. 

 

Working Conditions:

  • Combination of office and manufacturing floor environment. 
  • Regular interaction with production teams, leads, and support departments. 
  • Participation in daily and weekly VSS meetings. 

 

Not Specified
Maintenance Technician
🏢 Jobot
Salary not disclosed
Uniontown 2 weeks ago
Full-time maintenance technician openings for a manufacturer This Jobot Job is hosted by: Dan Asher Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.

Salary: $28
- $35 per hour A bit about us: This organization is a U.S.-based precision tool and die manufacturer providing tooling, machining, and engineered production support for a range of industrial customers.

The operation supports projects from early design and build through machining and ongoing manufacturing support, with a strong emphasis on quality, reliability, and craftsmanship.

The company operates in a hands-on, team-oriented shop environment where maintaining equipment uptime and supporting skilled manufacturing operations are critical to daily success.

Why join us? Full Benefits Job Details Maintenance Technician – Tool & Die Job Overview We are seeking a hands-on Maintenance Technician to support daily operations in a precision tool and die manufacturing environment.

This role focuses on maintaining, troubleshooting, and repairing production equipment, tooling support systems, and facility infrastructure to minimize downtime and keep machining operations running efficiently.

The ideal candidate has strong mechanical aptitude, experience working around CNC machining and toolroom equipment, and is comfortable responding to both planned maintenance and urgent breakdowns.

Key Responsibilities • Perform preventive and corrective maintenance on CNC machines, presses, grinders, and related toolroom equipment • Troubleshoot mechanical, electrical, hydraulic, and pneumatic issues • Support tool and die manufacturing operations by maintaining auxiliary equipment (coolant systems, chip conveyors, air systems, etc.) • Diagnose equipment failures and implement permanent fixes • Work with production and toolroom teams to prioritize repairs • Maintain accurate maintenance logs and documentation • Assist with equipment installs, moves, and upgrades • Maintain safe, clean, and organized work areas • Follow all safety and lockout/tagout procedures Required Experience & Skills • Maintenance experience in a manufacturing, tool & die, or machining environment • Strong mechanical troubleshooting skills • Working knowledge of hydraulics, pneumatics, and electrical systems • Experience supporting CNC machining equipment preferred • Ability to read basic mechanical and electrical schematics • Comfortable working independently and responding to breakdowns • Basic welding or fabrication skills a plus • High school diploma or equivalent; technical training preferred Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

Jobot is an Equal Opportunity Employer.

We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.

Jobot also prohibits harassment of applicants or employees based on any of these protected categories.

It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Sometimes Jobot is required to perform background checks with your authorization.

Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.

Frequency varies for text messages.

Message and data rates may apply.

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You can reply STOP to cancel and HELP for help.

You can access our privacy policy here: /privacy-policy
Not Specified
AI Experimentation Strategy Director (Remote)
✦ New
🏢 GoDaddy
Salary not disclosed
Remote, Oregon 5 hours ago

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.
Not Specified
Lead Experimentation Scientist in AI (Remote)
✦ New
🏢 GoDaddy
Salary not disclosed
Remote, Oregon 5 hours ago

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.
Not Specified
Senior Manager Experimentation Science AI (Remote)
✦ New
🏢 GoDaddy
Salary not disclosed
Remote, Oregon 5 hours ago

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.
Not Specified
Senior Manager Experimentation Science AI - Remote work flexibility (Remote)
✦ New
🏢 GoDaddy
Salary not disclosed
Remote, Oregon 5 hours ago

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.
Not Specified
Remote Engineering Lead (Remote)
✦ New
🏢 GoDaddy
Salary not disclosed
Remote, Oregon 5 hours ago

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.
Not Specified
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