Engineering Jobs in Maineville Oh Flexible

Altix Consulting is supporting VILPE USA for the recruitment of this position.

Account Executive, Smart Building Solutions

Location: VILPE USA HQ / Mason Ohio / Greater Cincinnati region

Reports to: CEO

Type: Full-time, individual contributor (no people leadership required)

Overview:

VILPE USA is launching and scaling in the U.S. market, bringing proven Finnish building technology to commercial roofing and smart buildings. Our IoT-enabled roof monitoring solution (“Sense”) helps facilities teams reduce risk, catch issues earlier, and turn roof maintenance into a more predictable, measurable program.

We’re building a high-output sales team focused on winning real accounts fast this role is for someone who likes being in the field, opening doors, and closing business.

About VILPE USA

Innovating the Future of Roofing and Building Technology

VILPE is a family-owned Finnish technology company that has built a strong reputation across Europe as an innovation leader in roof ventilation and building moisture management. Our solutions set a high standard for energy efficiency, sustainability, and long-term building performance.

Now, VILPE is launching its U.S. operations - with an ambitious goal to grow to $30 million in revenue by 2030. We will bring VILPE’s proven European technology and digital solutions to the American commercial roofing and smart building markets.

At VILPE, we combine Finnish engineering excellence with a forward-thinking, customer-first culture. We value clarity, integrity, and initiative - and we empower people to build and shape success.

Why Join VILPE USA?

• Join a fast-scaling international company at the ground floor of its U.S. growth journey.
• Be part of a high-trust, entrepreneurial culture that values initiative and ownership.
• Work directly with cutting-edge smart building technologies that are redefining an entire industry.
• Contribute to a bold and clear mission: build a $30M U.S. business by 2030
• VILPE USA will enjoy a lot of local decision autonomy in leading the US market expansion.

Role - Account Executive, Smart Building Solutions

As an Account Executive for Smart Building Solutions, you’ll own a pipeline of target accounts and drive new customer acquisition in facilities and portfolio environments (owners/operators, FM providers, data center operators, and adjacent ecosystems). You’ll sell consultatively—often starting with a pilot and expanding into broader rollouts across sites.

Key Responsibilities:

• Prospect and build pipeline within target segments (roofing contractors, facilities management, portfolio owners/operators, data centers, commercial/industrial buildings).
• Run the full sales cycle: outreach → discovery → pilot scope → proposal → close → expansion.
• Sell outcomes, not features (risk reduction, preventive maintenance visibility, faster response, fewer surprises, better planning).
• Coordinate pilots with internal technical resources and customer stakeholders; convert pilots into repeatable multi-site rollouts.
• Build relationships with key influencers: facility directors, maintenance teams, asset managers, construction/retrofit stakeholders, and procurement.
• Work the partner ecosystem where relevant (roofing contractors, service providers, integrators, consultants) to accelerate adoption.
• Maintain strong CRM hygiene (pipeline stages, notes, next steps) and provide Monthly forecasts and updates.
• Gather field feedback to improve messaging and playbooks - early-stage company means your input matters!

Ideal Candidate Profile:

• 3–5+ years of B2B sales, business development, or account management experience
• Direct or adjacent exposure to at least one of:
• Commercial roofing
• Retail/Hospitality construction
• Life sciences/Government construction
• Facilities management
• Data center construction/operations
• Industrial/commercial construction
• Demonstrated ability to open new accounts (not just farm existing relationships).
• Strong discovery skills and comfort running customer conversations with multiple stakeholders.
• Comfortable working with tools (CRM, productivity tools)
• Willingness to travel domestically as needed (often 30–60)%, depending on territory and projects).
• Experience with building systems / workflows: CMMS, BMS/BAS, work order processes, service programs, or monitoring/IoT solutions.
• Familiarity with roofing/asset condition assessments, leak response, or building envelope discussions.
• Industry associations exposure (e.g. IIBEC).

Compensation and benefits:

• Competitive and attractive compensation package
• Fixed salary and variable compensation based on targets & achievement
• Attractive benefits (medical/dental/vision, 401k, PTO, …)
• Additional non-traditional health / wellness / mental health
• Great company & work environment – continuous learning and education
• Growth opportunities and international business environment
• Employee and customer centric culture.

Training and Onboarding:

A comprehensive training and specific on-boarding program will be available.

If your level of ambition meets ours, we want to meet you!

Pacific Piston Ring Co., Inc., established in 1921, focuses on custom-made components for aerospace and industrial manufacturers. For over 100 years, the company has continuously adapted to customer needs, illustrating consistent and cost-effective manufacturing with the highest levels of product quality and reliability.

Maverick Molding Company is recognized globally as a leading expert in high-temperature polyimide composites. Maverick Molding focuses on delivering the highest temperature and best-performing polyimide products in the market.

The ideal candidate possesses both a high level of technical expertise and an innate passion to build. You will play a critical role in creating and refining processes in order to improve manufacturing safety, quality, and productivity.

Responsibilities

• Provide Process Engineering support for development, changes, and improvements to manufacturing operations.
• Drive process improvements through data collection and analysis.
• Use formal problem-solving techniques to identify and resolve equipment and process issues.
• Engineer in-house and subcontractor solutions for tooling, machine design changes, improvements, and repairs.
• Able to identify and respond with solutions to unforeseen problems.
• Diagnose, troubleshoot, and implement engineering solutions for repetitive equipment failures.
• Ensure engineering solutions meet requirements for safety, cost, time, and quality.
• Evaluate risks and make decisions, acting with a sense of urgency.
• Take ownership of assigned projects from planning through implementation.
• Participate in the development and maintenance of engineering procedures.
• Able to manage multiple projects and tasks.
• Demonstrates independent decision-making and action.

Qualifications

• BS in Mechanical, Manufacturing Engineering, or related field. Consideration will be given for relevant experience.
• 5+ years of experience in a similar role.
• Knowledge of composite materials is highly preferred.
• Experience with machine shop equipment (CNC, Lathes, Grinders) is preferred.
• Self-starter with the ability to work independently.
• Proficient with Microsoft Excel and Word applications. Experience in Minitab is a plus.
• Excellent communication skills.
• Experience with Lean, Six Sigma, Kaizen, Kanban, and 5S

Required Skills & Experience

3+ years' experience coordinating pilot builds and production readiness activities in a regulated manufacturing environment.

Strong experience with manufacturing data collection, processing, and analysis.

Hands‑on interaction with manufacturing data storage and visualization platforms (e.g., Illuminator or similar systems).

Bachelor’s degree in Engineering (Manufacturing, Industrial, Mechanical, Chemical, or related).

Experience in medical device manufacturing or similarly regulated industries

Strong understanding of GMPs, validation principles, and data integrity requirements

Job Description

An employer is seeking Senior Manufacturing Engineer with a strong focus on manufacturing data collection, pilot execution, and process control to support medical device production in the Blue Ash, OH area. This role bridges manufacturing execution with data systems to enable robust process monitoring, capability analysis, and continuous improvement. The ideal candidate excels in pilot build coordination, manufacturing data systems, and translating production data into actionable insights that support compliance, efficiency, and scalability.

Core responsibilities will include:

-Support New Product Development (NPD) and manufacturing scale‑up in compliance with FDA, ISO 13485, and internal quality systems.

-Plan and execute engineering and pilot builds, coordinating cross‑functionally to transition processes into full production.

-Develop and execute process characterization plans to identify and optimize CPPs and CQAs.

-Design and execute DOE and statistical analyses; establish process capability metrics (Cp/Cpk, Pp/Ppk).

-Define and implement process control limits, control plans, and monitoring strategies using manufacturing data systems.

-Lead Measurement System Analysis (MSA) and Gage R&R activities to ensure data integrity and measurement reliability.

-Provide hands‑on manufacturing support during development, qualification, validation, and production stabilization.

-Author and execute protocols and audit‑ready completion reports in support of process validation and regulatory inspections.

-Support validation and troubleshooting of PLC‑controlled manufacturing systems in collaboration with automation and controls teams.

Automation Fabrication Technician

Second Shift: Monday - Thursday 4:00 pm - 2:30 am

The Automation Fabrication Technician plays a primary role in the day-to-day operation of Trew’s advanced sheet metal fabrication system. This state-of-the-art system is comprised of many elements including Laser cutters, press brakes, folder, part sorting robots, part forming robots, and automated sheet metal storage and retrieval.

The Automation Fabrication Technician is a key member of Trew’s fabrication team and has a wide range of responsibilities across all elements of the system. They possess a diverse skillset and contribute to the entire value stream including capacity planning, machine programing, machine operation, final quality, and continuous improvement.

Key Responsibilities

• Machine Operation:
• Operate all key elements of the sheet metal fabrication system.
• Identify, resolve, and prevent issues within the system.
• Software:
• Utilize specialized software packages to program and operate all major elements of the sheet metal fabrication system.
• Business Process:
• Work with Automated Fabrication Supervisor to estimate fabrication times, balance workload, and manage work in progress to meet production schedules.
• Regularly assess system performance against established benchmarks.
• Maintenance:
• Perform routine checks, replace consumables, and perform preventative maintenance to ensure uptime of the system.
• Training:
• Willingness to learn new skills and software tools via formal training programs and informal on-the-job training.

Requirements

• Must possess excellent problem solving and communication skills, strong attention to detail, and willingness to learn.
• Must be able to work independently and as part of a team.
• Must have a good understanding of electrical and mechanical systems.
• The work environment is a warehouse assembly and fabrication facility. It will involve exposure to materials-handling equipment, the need to stand for extended periods, the need to follow safety protocols, and the requirement to lift and move heavy objects.
• Must be able to travel intermittently (less than 10%) for training.

Education / Experience

• Associate's degree in an engineering or manufacturing discipline (MET, EET, Electro-Mechanical, Mechatronics, Advanced Manufacturing, or similar).
• -OR-
• Experience programming and operating metal forming machines (Laser, Punch, Press Brake, Mill, Lathe).
• Computer competence and deep knowledge of sheet metal fabrication is strongly preferred (Laser Technology Tables, Bend parameters, Automatic material loading/unloading, Lights out operation).

TREW’s story:

Business gets done working together. Successful business happens when trusted partners work together, to win together. At TREW we know that our customers buy solutions and technology built by people. With over 500 team members, we work fearlessly every day to do the right thing, even when no one is watching. From seasoned professionals to undergraduate co-ops, our team members enjoy seeing the impact of their contributions every day.

Trew is an equal opportunity employer. Applicants will be considered for employment without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, ge

Job Description:

The Pharmacy Engineering Technician 3 oversees logistics, fabrication, installation, operation, application, maintenance, and repair of mechanical and electromechanical machines, equipment, tools, motors and systems The Pharmacy Engineering Technician 3 performs advanced administrative/operational/customer support duties that require independent initiative and judgment. May apply intermediate mathematical skills.

The Pharmacy Engineering Technician 3 ensures maintenance and continuous improvement of quality and industry standards, evaluates mechanical products to determine cost effectiveness and efficiency, oversees and implements prescription drug distribution equipment and recommends design modifications to eliminate malfunctions, reduce cost-to-fill, increase throughput and improve quality, performs and leads tests of related software and equipment to ensure proper operation and freedom from defects, and devises improvements to current procedures and develops models of possible future configurations. Decisions are typically focus on methods, tactics and processes for completing administrative tasks/projects. Regularly exercises discretion and judgment in prioritizing requests and interpreting and adapting procedures, processes and techniques, and works under limited guidance due to previous experience/breadth and depth of knowledge of administrative processes and organizational knowledge.

Responsibilities:

• Perform preventive maintenance, inspections, and repairs on electrical and mechanical equipment, devices and components.

• Troubleshoot, routinely inspect equipment and electro-pneumatic controls as necessary on automated equipment.

• Report to Maintenance Supervisor on equipment condition and status as necessary.

• Install all new equipment including electrical, mechanical, pneumatic, electronic, and computer systems.

• Maintain an extremely clean work environment.

• Reduce machine downtime, improve throughput and overall performance of machines.

• Maintain preventative maintenance schedules by thoroughly documenting all issues, repairs, parts used, recommendations, etc.

• Must possess a sense of urgency on troubleshooting and repairing equipment for minimal downtime.

• Possess excellent project/assignment completion record.

• Ability to work independently.

Requirements

• 4-5 years of electrical/mechanical experience

• POS programing knowledge

• Knowledge of Allen Bradley PLCs

Location: United States

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join Our Team

We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.

In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.

What you'll get to do...

• Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
• Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
• Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
• Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
• Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization

Your experience should include...

• 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
• 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development 
• 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
• A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
• A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
• 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
• The ability to define and implement a vision for experimentation best practices across diverse product areas

You might also have...

• Master's in computer science or equivalent quantitative fields

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to  

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.

Location: United States

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join Our Team

We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.

In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.

What you'll get to do...

• Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
• Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
• Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
• Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
• Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization

Your experience should include...

• 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
• 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development 
• 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
• A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
• A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
• 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
• The ability to define and implement a vision for experimentation best practices across diverse product areas

You might also have...

• Master's in computer science or equivalent quantitative fields

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to  

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.

Location: United States

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join Our Team

We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.

In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.

What you'll get to do...

• Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
• Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
• Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
• Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
• Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization

Your experience should include...

• 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
• 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development 
• 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
• A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
• A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
• 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
• The ability to define and implement a vision for experimentation best practices across diverse product areas

You might also have...

• Master's in computer science or equivalent quantitative fields

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to  

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.

Location: United States

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join Our Team

We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.

In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.

What you'll get to do...

• Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
• Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
• Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
• Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
• Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization

Your experience should include...

• 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
• 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development 
• 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
• A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
• A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
• 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
• The ability to define and implement a vision for experimentation best practices across diverse product areas

You might also have...

• Master's in computer science or equivalent quantitative fields

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to  

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.

Location Details: Remote - United States

At GoDaddy, the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days), and some work entirely remotely.

This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join our team

The GoCaaS (GoDaddy Content As A Service) team powers GoDaddy's generative AI platform. We enable internal teams to securely build, deploy, and scale AI capabilities across the company—driving innovation, productivity, and customer impact. Our platform supports 100+ large language models across multiple vendors (OpenAI, Google, Anthropic, AWS) with 99.99% uptime, serving thousands of employees and dozens of teams.

What you'll get to do...

• Lead and develop a high-performing engineering team delivering critical AI platform capabilities while mentoring engineers to deliver quality software efficiently.
• Partner with cross-functional teams (product, design, and engineering leaders) to define and execute the GoCaaS roadmap and strategic initiatives.
• Drive platform excellence by ensuring reliability, scalability, and optimal developer experience for internal AI consumers.
• Champion engineering best practices, including CI/CD, observability, and secure software development across the organization.
• Collaborate with enterprise teams (security, data, infrastructure) to deliver enterprise-grade AI solutions while fostering a culture of experimentation and technical excellence.

Your experience should include...

• 6+ years of software engineering experience with at least 2 years in engineering management or tech lead roles.
• Proven leadership of backend/platform teams delivering production-scale services.
• Strong cloud infrastructure knowledge (AWS, GCP, or Azure) and distributed systems expertise.
• Hands-on programming skills in Python, Go, or Node.js with CI/CD and observability experience.
• Leadership and project management abilities, including stakeholder management and cross-functional project delivery.

You might also have...

• AI/ML Infrastructure Experience - Working with LLMs, RAG systems, or broader AI/ML infrastructure.
• Container Orchestration - Familiarity with Kubernetes and Docker.
• Security & Privacy - Experience with secure data handling and privacy frameworks.
• Developer Platform Background - Experience building internal tooling or developer platforms.
• Leadership & Community Engagement - Passion for team building, mentoring engineers, and contributing to open-source initiatives.

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits, including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunities more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report, which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to  

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.