Engineering Jobs in Pine Brook Morris County Nj Remote

This position is for the Overnight Shift 2am - 1030am Monday to Friday

Interstate Waste Services is the most progressive and innovative provider of solid waste and recycling services in the greater New York, New Jersey and Connecticut markets with a rail-served landfill in Ohio.  IWS is committed to delivering high-quality waste, recycling and environmental services, while prioritizing the safety of our employees, customers and communities. We cater to a diverse range of industrial, medical and commercial/residential customers.

Founded in 1998, IWS has grown over the years through acquisitions, many of which were family-owned businesses that remain a part of our team today. We’re proud to combine the resources of a large company with the values and care of a family-run business.

The Level A Fleet Mechanic/Technician is the top-tier technical expert in the shop, responsible for advanced diagnostics, complex repairs, and technical leadership across refuse trucks, heavy trucks/tractors, and support assets.  This role sets the standard for safety, quality, productivity, and training, and partners with maintenance leadership to drive up time and regulatory compliance across the fleet.

Advanced Diagnostics & Complex Repairs

• Lead diagnosis and resolution of complex, intermittent, or chronic issues involving:
• Engine performance and emissions/aftertreatment (DPF, DOC, SCR, sensors, dosing systems).
• CAN-bus and multiplex electrical systems, electronic control modules, and communication networks.
• Advanced hydraulics for refuse bodies, auto-load arms, high-pressure systems, and heavy truck power take-offs.
• Plan and execute major component work including major engine reparis, transmission and differential R&R, frame-off repairs, and complex hydraulic rebuilds.

Technical Leadership & Training

• Serve as the go-to technical resource for Level B and Level C technicians; provide on-the-job training, coaching, and quality checks.
• Assist in training on:
  • Diagnostic software and tools.
  • New equipment technology, safety systems, and telematics.
  • Company maintenance standards, PM strategies, and repair procedures.

Fleet Reliability, Compliance & Continuous Improvement

• Analyze repeat repairs, failure trends, and PM findings; recommend changes to PM intervals, inspection checklists, or parts specifications.
• Ensure all work complies with DOT, FMCSA, OSHA, BIC, DEP and environmental regulations, as well as state/local requirements in NY, NYC, NJ, and CT.
• Perform and sign off on the most critical inspections (e.g., PDI, PM and Annual inspections, accident damage assessments, major repair QC).

Operational & Customer Support

• Support complex road calls and on-site repairs on the road, at transfer stations, MRFs, or customer locations throughout the NYC tri-state area.
• Partner with Operations and Dispatch to minimize downtime, sequence repairs effectively, and prioritize critical units i.e. NYC dense-route refuse units, specialized collection assets.
• Provide clear feedback to leadership on equipment condition, replacement candidates, and chronic issues affecting uptime or safety.

Administrative & Leadership Duties (as assigned)

• Help plan daily shop workload and allocate jobs according to technician skill level.
• Assist in specifying parts, evaluating vendor options, and supporting warranty recovery efforts.
• Support audits, safety inspections, and external regulatory reviews as the technical representative for the shop.

• High school diploma or GED required; additional technical training strongly preferred.

• A minimum of 5 years of proven hands-on experience as a diesel mechanic as a diesel/heavy-equipment mechanic/technician, including advanced diagnostics and major component overhaul.
• CDL Class B or A with air brake endorsement required or strongly preferred due to frequent road tests and movement of collection vehicles on public roads.

• Demonstrated expert-level knowledge of:
  • Heavy truck and refuse systems.
  • Refuse hydraulic, electrical, and powertrain systems.
  • Diagnostic software, scan tools, and OEM service information.
• Proven track record of performing complex diagnostics and repairs independently.
• Must provide own professional-grade tools required for diagnostic and repair work.
• ASE Master Medium/Heavy Truck Technician or equivalent combination of ASE certifications (T series) and/or OEM advanced certifications preferred.
• Possession of a valid driver’s license is required.
• Experience in a lead or senior technician role in a refuse, municipal, or large private fleet environment preferred.
• Experience with CNG/LNG, hybrid, or EV drivetrains for heavy vehicles preferred.
• Strong communication skills and the ability to coach, influence, and drive standards across multiple shifts or locations preferred.

This job description is intended to be an accurate representation of the general functions of the job, rather than exhaustive list of duties, responsibilities, or experience. Other duties may be assigned, requested, or required. Aspects of the job may be altered without notice.

Interstate Waste Services provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

This role is 3 days onsite. NO REMOTE or Relocation. Must be a US Citizen or Green Card Holder. Please do not apply if you are a EAD or H1-VIsa.

Job Description:

We are looking for a Data Architect to take ownership of designing and evolving a modern enterprise data ecosystem that supports analytics, reporting, and business decision-making. This role will focus on building and maintaining a secure, scalable data warehouse leveraging Microsoft cloud technologies such as Azure, Synapse, and Microsoft Fabric, while ensuring strong data quality, accessibility, and consistency across the organization.

This position will play a key role in establishing data standards, driving best practices in data modeling and governance, and partnering with both technical and business stakeholders. The ideal candidate is comfortable working independently and translating complex data concepts into actionable insights for non-technical audiences.

Key Responsibilities

Data Architecture & Modeling

• Design, implement, and maintain enterprise data warehouse solutions within Azure and Microsoft Fabric
• Develop and manage semantic data models to support reporting through Power BI and Azure Analysis Services
• Establish and document standards for data modeling, naming conventions, and dataset design

Data Governance & Quality

• Define and enforce data governance frameworks, including data definitions, access controls, and data policies
• Implement automated processes to monitor and improve data quality and integrity
• Partner with business users to understand requirements and resolve data inconsistencies

Technical Leadership

• Act as a subject matter expert for data architecture and enterprise data strategy
• Translate business requirements into scalable and efficient data solutions
• Provide guidance to stakeholders on data architecture decisions and trade-offs

Enablement & Collaboration

• Create documentation, data dictionaries, and standards to support self-service analytics
• Work closely with BI developers and business teams to ensure data solutions align with reporting needs

Required Qualifications

• 6+ years of experience in data architecture, data engineering, or BI-related roles
• Strong expertise with Microsoft Azure Data Services, including SQL, Synapse, Data Factory, and Fabric
• Advanced SQL skills with experience in query optimization
• Experience with Python or R for data processing and automation
• Deep understanding of semantic modeling in Power BI or Azure Analysis Services
• Hands-on experience with Power BI (Desktop, Service, DAX, Power Query)
• Experience integrating ERP (Epicor preferred) and CRM data for reporting and analytics
• Strong understanding of end-to-end ERP business processes (Quote-to-Cash, AR, AP, GL)
• Knowledge of enterprise data architecture principles and data lifecycle management
• Proven experience establishing and maintaining data governance and quality standards
• Strong communication skills with the ability to work with non-technical stakeholders

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
• Experience with modern data architecture patterns such as lakehouse, star schema, or medallion architecture
• Background in operational or supply chain environments
• Exposure to planning tools such as Anaplan or similar platforms

This Project Management Assistant position provides support to Project Managers who oversee projects within the Electrical Transmission industry. On site 1-2 days a week. Must be located in the Central NJ or Eastern PA or willing to relocate.

• Prepare project bid packages
• Respond to bidder RFI's
• Interface with bidder/contractor personnel
• Attend job kickoff and walk down meetings
• Assist in the development of project schedules using established software systems
• Gather, organize and validate data for project financial forecasts
• Input data into various programs and maintain various cost and forecasting reports
• Assist in the development of cash flow/forecast plans/budgets using established software systems
• Assess and report on project performance using established industry standards
• Document and provide regular communication on project cost, schedule and risk status to project team members, stakeholders and public
• Participate in project status meetings
• Coordinate the execution of internal and field checklists
• Assist with other project management support tasks as needed

• High level of interpersonal skills
• High level of organization skills
• High attention to detail
• Able to efficiently multitask
• Proficient in MS Suite of software
• Valid driver's license
• Experience in the Construction Industry
• Bachelor's degree in engineering, project management or construction management from an accredited college or its equivalent in education and experience

• Experience with Primavera P6
• Experience in the electrical transmission industry

• Technical school diploma or equivalent combination of education and experience.
• Minimum 5-7 years' experience with Mechanical / Electronic part inspection in a manufacturing or production Environment.
• Experience in quality with machined / mechanical parts using GD&T interpretation, able to do programs for automatic inspection with Optical Vision Systems and CMMs. plus. Able to use Profilometers and special Microscopes for visual characteristics with other measuring tools and instruments.
• Knowledgeable with AS9102 FAIR (First Article Inspection Report) documentation and Inspection.
• Familiar with AQL, sampling methods and traceability.
• Strong verbal/written communication skills required for multi-faceted interactions with all levels of personnel within the organization, as well as any and all outside agents, including but not limited to; vendors, suppliers, customers, etc.
• Strong computer literacy, with MS Office/PC expertise and demonstrated experience with applicable systems, programs, equipment, etc.
• Must be a US Citizen.

• Train other inspection personnel on CMM software and manual measurement techniques.
• Perform Mechanical measurements and visual quality assessments of received items, work-in-progress and finished goods.
• Performs 1 st Piece Inspection on machined parts and inspection for product Quality Analysis.
• Inspect with thread gages, GO/NO-GO plug gages, V-Blocks, Gage Blocks, height stands, dial indicators, various types of ID/OD micrometers, inspection of thread Pitch Diameter with special gages.
• Generate spreadsheets for data collection, evaluate history of product and recommend on Sample Size as per an AQL
• Reconcile final inspection documentation for shipments
• Interact with source inspector as needed and part-take in source inspection duties if necessary.
• Read, understand and interpret Mechanical/Electronic drawings.
• Approve incoming materials by confirming specifications, conducting visual and physical measurement of the product., rejecting if necessary and processing part thru to the next step.
• Approve in-process production by confirming specifications, conducting visual, physical measurement and physical measurement of the product., communicating required adjustments to production supervisor.
• Approve finished products by confirming specifications, conducting visual and physical measurement of the product.
• Document inspection results by completing reports and logs, summarizing re-work and waste, and inputting data into quality database
• Always verify equipment is operational and calibrated, follow operating instructions and coordinate repairs
• Work with Engineering, Operations, and other sources to resolve issues and meet goals

• Bring initiatives and activities to closure in a timely manner through effective interaction with individuals, both internal and external to the Marotta organization (as required).
• Maintain and continue to elevate relationships with Business Development, Engineering, Operations, Customer Service and all other facets of the company
• Abide by all safety, quality, housekeeping and company policies/procedures to ensure compliance to various regulatory and internal system requirements
• Contribute to a positive and cooperative work environment through effective communication at all levels internal and external to the organization
• Actively participate in team meetings, improvement initiatives/programs, etc. to provide constructive recommendations and initiate actions to support company initiatives/goals
• Consistently demonstrate commitment to company values
• Keep management informed of area activities and of any significant problems
• Assume responsibility for related duties as required or assigned
• Ensure that work area and work areas of direct reports are clean, secure, and well maintained
• Complete special projects and miscellaneous assignments as required

• While performing the duties of this job, the employee can be exposed to fumes or airborne particles, moving mechanical parts and vibration. The noise level in the work environment may be loud.
• This job interacts both in a professional office environment and a manufacturing/machine shop environment. This role uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines, as well as environments inclusive of the appropriate eye, hearing and foot protection (as required).
• This is a full-time position. Overtime and weekend work may be required as job duties demand.
• Travel is rare but may be required to coordinate proper CMM inspection techniques with Suppliers.

• While performing the duties of this job, the employee is regularly required to talk and hear.
  • Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. Vision and color vision must pass job-required vision screening
• The employee is occasionally required to sit; climb or balance; and stoop, kneel, or crouch
• 
  The employee may be required to lift and/or move items weighing up to 25 pounds.

Associate Attorney – Short Hills, NJ

Grae & Grae, LLC, a premier boutique construction law firm, is seeking talented, experienced, and highly-motivated junior and mid-level associates to join its Short Hills, NJ office on a full-time basis. Grae & Grae, LLC represents many of the largest and most prominent public and private sector contractors, subcontractors, construction managers, architects, and the engineering and design professionals working alongside them, servicing the full diversity of their transactional and litigation needs. Candidates must be licensed to practice law in the State of New York, and, preferably, the State of New Jersey, and have been awarded a Juris Doctor from an accredited U.S. law school. Ideal candidates will have a record of outstanding academic achievement, clinical legal experience, superior legal writing and critical reasoning skills, and a demonstrated interest in construction-related work. Candidates with prior clerkship experience will receive priority consideration. Grae & Grae, LLC is a highly collegial practice committed to internal promotion and associate development through close mentorship and training.

Interested candidates should provide their resume, writing sample, and law school transcript (for candidates with less than 3 years’ experience).

Positions: Junior (1-3 years) and Mid-Level (3+ years) Associates

Minimum Requirements:

• 2+ years of civil litigation experience (though candidates with exceptional academic credentials and legal writing skills will receive consideration and are encouraged to apply)
• Bar Admission: New York

Salary Range:

Junior Associate: $95,000 - $135,000

Mid-Level Associate: $135,000 - $200,000

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.