Engineering Jobs in Ansonia Connecticut Remote

We are seeking a detail-oriented Estimator with experience in civil construction projects to join a growing and dynamic team. This role is responsible for preparing accurate and competitive cost estimates, managing the preconstruction process, and supporting project execution from bid through completion.

This is an excellent opportunity for a motivated professional who thrives in a fast-paced environment and enjoys collaborating with operations teams to deliver high-quality civil projects.

What people are saying

• “Good teamwork. Good experience.”

Construction Laborer — Employee Review on Indeed

• “Good attention to detail and sense of accomplishment at the end of the day.”

Construction Worker — Employee Review on Indeed

• “Great job … the best job I ever had loved working hands on.”

Field Team Member — Employee Review on Indeed

Title: Sitework Estimator

Location: New Haven County, CT

Salary: $80,000 to $130,000

What We Offer

• Growth and advancement opportunities
• Collaborative team environment
• Exposure to diverse civil construction projects

Key Responsibilities

• Prepare detailed and accurate equipment, labor, material, and subcontractor estimates
• Attend pre-bid conferences and site visits
• Analyze project sites to understand conditions and restrictions impacting production
• Develop and evaluate subcontractor quotes for scope completeness and value
• Prepare and track project bid status reports
• Ensure compliance with scope of work, geotechnical reports, drawings, specifications, and details
• Perform accurate quantity takeoffs and prepare cost estimates using HCSS Heavy Bid
• Develop preliminary project schedules
• Maintain and update historical cost databases and cost codes
• Lead and manage support staff during the bid process
• Oversee preconstruction activities and manage buyout process upon project award
• Coordinate thorough project handoff to Project Manager and Superintendent
• Support project implementation throughout the lifecycle of the project

Qualifications

• 3–5 years of experience estimating civil construction projects
• Bachelor’s degree in Civil Engineering, Construction Management, or related field (or equivalent field experience)
• Strong analytical and problem-solving skills
• Excellent verbal and written communication skills
• Exceptional attention to detail
• Ability to work independently and stay organized
• Ability to prioritize multiple deadlines in a fast-paced environment
• Advanced proficiency in:
• HCSS Heavy Bid

Onsite AI Engineer - Construction Industry Focus

New Haven, CT - Onsite 5 days per week

• Initial Assignment: Fully onsite 5 days per week at a construction site in Ft. Myers (FL) or New Haven (CT) for 1 year
• Post-Assignment: Relocation to one of the corporate offices for hybrid employment: Boston, MA (preferred), New York City (NY), New Haven (CT), Herndon (VA), West Palm Beach (FL), or Estero (FL)

Role Summary

As the on-site catalyst who turns AI ideas into working reality. Partnering with each project’s AI Champion (Project Manager or Superintendent), you’ll uncover pain points, redesign workflows, and deploy AI agents that cut down reporting, accelerate RFIs, simplify lookahead planning, progress updates, materials tracking, and more. When needed, you will develop user stories and coordinate development with the central AI Studio. You’ll help advance the vision of the “Construction Site of the Future,” showing how agentic AI will transform project operations.

Responsibilities

• Workflow discovery and redesign: Lead Lean/Six Sigma workshops; map value streams; log high-impact AI agent opportunities that improve field efficiency.
• AI agent development: Build and deploy multiple production-ready AI agents using Copilot Studio, Power Apps/Automate, ChatGPT Enterprise, or code-first frameworks. Integrate agents into Teams/SharePoint on the front end and Databricks Lakehouse or other enterprise data sources on the back end.
• RAG pipelines and LLMOps: Design and operate retrieval-augmented generation (RAG) pipelines with Databricks Delta Tables, Unity Catalog, and Vector Search (or Spark/Hadoop equivalents). Monitor cost, latency, adoption, and model drift.
• Cross-cloud orchestration: Blend OpenAI, Azure OpenAI, and AWS Bedrock services through secure custom connectors to maximize flexibility and adoption.
• Data integration: Partner with Data Engineering to deliver ETL/ELT pipelines, API integrations, and event-driven connectors that feed RAG pipelines and AI agents.
• Change management and adoption: Train field teams, gather feedback, iterate quickly, and embed agents into SOPs. Track usage and ROI with adoption metrics and behavior-change KPIs.
• Stakeholder communication: Translate technical results into business value for leadership and clients. Contribute use cases and playbooks for the “Construction Site of the Future.”
• Compliance and hand-offs: Ensure all AI solutions meet the company’s data governance and security standards. Draft clear user stories and specs for escalation to central AI/Data Engineering teams when necessary.

Qualifications

• 4+ years in AI engineering, data science, or ML-focused software engineering.
• Proven experience building multiple AI agents in production environments.
• 2+ years of hands-on experience with LLMs, RAG pipelines, and LLMOps practices.
• Must have strong traditional software engineering background in Python

Bonus Points

• Experience in construction, manufacturing, or other process-heavy industries.
• Advanced degree in a technical field.

Role:

Join project teams across the U.S. as the on-site catalyst who turns AI ideas into working reality. Partnering with each project’s AI Champion (Project Manager or Superintendent), you’ll uncover pain points, redesign workflows, and deploy AI agents that cut down reporting, accelerate RFIs, simplify lookahead planning, progress updates, materials tracking, and more. When needed, you will develop user stories and coordinate development with the central AI Studio. You’ll help advance the vision of the “Construction Site of the Future,” showing how agentic AI will transform project operations.

Location: New Haven, Connecticut

Responsibilities:

• Opportunity hunting and workflow redesign – Lead Lean/Six Sigma discovery workshops; map value streams, assess process and data maturity, and log low-effort/high-impact AI use cases.
• Process and data maturity assessment – Evaluate each jobsite’s current workflows and underlying data; surface gaps that block AI adoption and develop phased improvement plans with Operations Excellence to establish the right process baseline before deploying agents.
• Assess the market solutions – Evaluate off-the-shelf and platform tools; launch pilots, measure impact, and scale wins.
• Rapid AI-agent builds – Convert user stories into production-ready agents in Copilot Studio / Power Apps/Automate, ChatGPT Enterprise, or code-first frameworks within days; wire them to Teams/SharePoint on the front end and Databricks Lakehouse or other sources on the back end.
• Enterprise-grade engineering & LLMOps – Build RAG pipelines backed by Delta tables, Unity Catalog, and Databricks Vector Search; automate infra with GitHub Actions / Posit; monitor latency, cost, adoption, and drift.
• Data integrations – Partner with Data Engineering to design and maintain ETL pipelines, API integrations, and event-driven connectors feeding RAG and agents.
• Cross-cloud orchestration – Blend OpenAI, Azure OpenAI, and AWS Bedrock behind secure custom connectors; package agents for seamless rollout.
• Change enablement – Train crews, gather feedback, iterate, and track adoption and ROI metrics; apply influence model principles to embed agents into daily routines and SOPs, and track behavior change KPIs.
• Stakeholder communication – Brief project leadership and clients on agent impact in clear business terms; contribute use cases and playbooks for “Construction Site of the Future.”
• Escalation & hand-off – Draft clear user stories, data specs, and acceptance criteria for any complex solution that requires the central AI Solution Engineers or Data Engineering / Data Science team to lean in.

Qualifications:

• 3+ years in AI engineering / full-stack data applications or data science, including 2+ years building production LLM/RAG solutions.
• Bachelor’s in CS, Engineering, Physics, or a related field; Master’s preferred.
• Prior hands-on work in construction or heavy process industries (manufacturing, oil & gas, chemicals) is a significant plus.
• Demonstrated process excellence background (Lean/Six Sigma Green Belt or equivalent) with experience diagnosing process and data gaps and supporting change management plans with Operations Excellence.
• Strong facilitation and communication skills.
• Hands-on expertise with Copilot Studio, Power Apps/Automate, custom connectors, and CoE Toolkit governance.
• Programming & data stack: Python, SQL, Databricks Lakehouse, vector stores.
• DevOps & IaC: GitHub Actions (or Azure DevOps) and Posit Workbench/Connect automation or comparable CI/CD tooling; strong Git/GitHub workflow discipline.
• Integration & ETL skills: Foundational understanding of ETL/ELT design, Airflow or Databricks Workflows, and REST/GraphQL API development; proven collaboration with Data Engineering on source-to-lake and lake-to-agent pipelines.
• Willing and able to travel and work on active jobsites.

Exclusive. Northeast holding company with three manufacturing and technology portfolio companies serving commercial markets. New role reporting to Chairman. Every portfolio company had their best year in 2025. On the horizon is further expansion led by product development, international expansion, new customers, and recurring revenues streams. We are looking for a leader and influencer that is still willing to bear hug the business from the bottom up when necessary. Quick overview of responsibilities and leadership are:

• Partnering and contributing on short- and long-term strategies for the holding and portfolio companies (i.e., geographical expansion, acquisitions, spin-offs, capital investment, incubator projects, organizational development)
• Functioning as a consultant and advisory Board member to portfolio companies (i.e., pricing, margin management, leadership development, KPIs, capital expenditures, process improvements, working capital improvements, demand planning, business development, infrastructure build out)
• Be liaison with external counsel on domestic and international customer contracts, labor agreements, and other legal matters
• Be the VP-Finance for the holding company on financial reporting, KPIs, and treasury matters

REQUIREMENTS: BS required (Accounting, Finance, or Engineering preferred). CPA or MBA a must. Seek 10+ years of business and financial leadership experience. Must be able to communicate with engineering, supply chain, and manufacturing. Ideal candidate might come from investment banking, private equity, or multi-plant manufacturer targeting commercial markets. Role can be hybrid or virtual with primary travel in Connecticut and New York.

REWARD: $300,000 to $350,000 DOE plus seven figure 3-5 year incentives, superior benefits, upside and work/life balance

Responsibilities:

• Approve label copy and assist with artwork approvals to confirm compliance with local, state and federal requirements in the US and Canada for laundry and home care product development projects

• Support Safety Data Sheet (SDS) development and ingredient disclosure requirements

• Gather and enter data into third-party compliance systems

• Assist with various documentation needs, as requested

• Work proactively with cross-functional teams to ensure product regulatory compliance and provide necessary regulatory documentation

• Develop and document programs and associated processes to comply with regulations and government agencies.

• Assist with raw material, formulation and packaging regulatory evaluations to confirm compliance with local, state and federal requirements in the US and Canada for new laundry and home care product development projects

• Evaluate, approve and document raw material, formulas, packaging and labeling regulatory compliance, taking into consideration but not limited to the following regulations: Toxic Substances Control Act (US), New Substance Notification Regulations (Canada), Consumer Chemicals and Containers Regulations (Canada), Consumer Product Safety Act (US), Federal Hazardous Substances Act (US), Poison Prevention Packaging Act (US), federal and state Volatile Organic Compound (VOC) regulations (US), California Prop 65 (US), Federal Insecticide, Fungicide and Rodenticide Act (US), Fair Packaging and Labeling Act (US), California Green Chemistry regulations, EPA Safer Choice, etc.

• Manage workload, priority and performance of regulatory staff, in addition to providing development opportunities to build capability.

Comments/Special Instructions

This position is hybrid so the person must be local to Trumbull, CT. Wednesday and Thursday they will work in the Trumbull office. 3 days per week they will work from home Mon, Tues, Fri

Occasionally once a month travel to Stamford, CT office.

Qualifications:

• High School Diploma
• Bachelors Degree in in Chemistry, Environmental Science, Engineering or related field preferred.
• Experience — 1-3 years experience in regulatory affairs field of Laundry and detergents or CPG products. Knowledge of federal and state statutes and regulations related to pesticide registration (required). Working knowledge of relevant federal and state regulatory programs (e.g., FIFRA, TSCA, Prop 65). (required)
• Skills — strong communication skills, ability to manage projects with cross functional teams, proficiency in Microsoft Office Suite (Word, Excel, PowerPoint), SAP experience helpful.
• Ability to manage multiple projects or relationships while effectively communicating status to senior staff. Excellent written and oral communication skills.

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: United States - Remote

At GoDaddy the future of work looks different for each team. Some teams work in the office full-events or offsites. 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 offsites.

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 

Do you want to be an Information Security Leader at GoDaddy? GoDaddy's Product Security group is looking for a Principal Security Engineer to join our organization. Can you solve large scale and cross-company issues, while ensuring that partnership with the development and operational communities remains in front of mind?

GoDaddy is looking for a Principal Security Engineer to apply their hands-on technical skills, strong leadership abilities, and an eagerness to design solutions to complex problems. You must be comfortable with communicating to stakeholders, performing security assessments and prioritizing security risks, creating/presenting high-quality deliverables.

What you'll get to do...

• Identify security threats in applications and infrastructure and provide remediation mentorship to system owners.
• Join forces with SRE and development teams to find new and creative ways to reduce the occurrence of vulnerabilities at scale.
• Build repeatable/reusable security processes and frameworks.
• Review quality issues and work towards detecting security flaws both obvious and discrete.
• Assist with scoping prospective projects, participating in projects from kickoff through "definition of done" via end-to-end ownership.
• Use your industry experience to own and drive resolution and retest complex security events, policy questions and technical security risks.

Your experience should include...

• 7+ years of progressive security engineering experience across Security Architecture, Cryptography, Network, Cloud, Mobile, and Web Security.
• Skilled in Secure Development Lifecycle, Security by Design, and Shift Left methodologies.
• Proficient in Threat Modeling, Architecture Review, Penetration Testing, Code Review, SAST, and DAST.
• Strong scripting abilities in languages such as Python, C, C++, Java, Ruby, and PowerShell.
• Adept at applying security best practices for compliance, with excellent problem-solving and communication skills.

You might also have...

• Bachelor's degree in computer science or related field.
• Master's degree or PhD in Computer Science or related field.
• Hosting industry and/or cloud Experience.
• Experience in hardware security.

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.