Excel, AI Jobs in Usa
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Project Manager
6 mo. contract to perm hire
Raleigh, NC
Required Skills & Experience
• 5–10 years Project Management experience (ideal)
• Strong technical understanding, ideally with AI / ML / GenAI exposure
• Ability to understand technical details and track progress with engineers & data scientists
• Strong stakeholder communication
• Self-driven, minimal hand-holding
• Experience running multi-team, cross-functional initiatives
Experience managing multiple projects concurrently
Nice to Have Skills & Experience
• Former developer or data scientist background before PM
• Hands-on experience with AI products, AI content pipelines, embeddings
• Experience in B2B environment
Experience in multi-year, large-scale data or ML programs
Job Description
• Manage multiple AI-related projects under the hiring manager's org
• Track progress across engineering + data science teams (~10 people)
• Manage long-term initiatives (multi-year)
• Coordinate embedding strategy project with 20–30+ cross-functional contributors
• Provide weekly updates and progress tracking
• No customer-facing work — only internal stakeholders
• Move projects forward proactively, ensure clarity, keep leadership informed
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .
AI SaaS SALES - Healthcare Billing Startup
FTE | Bethpage, NY | Onsite Hybrid (4/1 with flexibility)
Company Overview:
Our client is a growing technology company that has developed an AI software platform that assists out-of-network doctors and healthcare providers in navigating the complexities of the No Surprises Act and automates their billing processes. The company operates as a SaaS provider, offering a fixed-cost solution that is unique in the market. They have over twenty clients and are revenue generating.
Role Overview:
They are seeking a hungry, ambitious, and driven Salesperson to join our team. This individual will be instrumental in expanding their client base by selling to out-of-network healthcare practices and third-party billers. This is a foundational sales role within a startup environment, offering significant growth potential.
Key Responsibilities:
Product Mastery - Complete an initial three-month in-office training period to thoroughly learn the AI software platform and its functionalities
Client Engagement - Travel to meet with prospective clients to conduct demos and close sales
Lead Generation - Utilize various tools and company resources (e.g., existing email lists, online resources, industry conferences) to identify and engage new leads
Sales Cycle Management - Perform cold calls, get "foot in the door," schedule meetings, and deliver compelling product demonstrations
Stakeholder Communication – Learn about client needs and present the software's value proposition to office managers, billing managers, doctors, and related “decision makers”
Required Qualifications & Candidate Profile:
- 2+ years of sales experience preferred but all ambitious individuals eager to be part of a growing AI company will be considered
- Polished presentation skills
- Strong capacity to learn complex systems and product details quickly
- Possessing a proactive sales mindset, comfortable with cold outreach and persistent follow-up
- Must be able to commute to the Bethpage office for the initial training period (3-4 months)
Associate Account Executive | AI & Cloud Infrastructure Sales
Core 4 Solutions | Eden Prairie, MN | On-site
Build a career selling the infrastructure that powers AI, cloud computing, and modern data centers.
Core 4 Solutions is growing rapidly and we’re looking for motivated individuals who want to build a career in enterprise technology sales. Our team works in one of the fastest-growing areas of technology, helping organizations deploy the infrastructure that powers cloud computing, artificial intelligence, high-performance computing, and modern data centers.
You do not need to meet every qualification listed to apply. If you are interested in the role and think you could succeed, we encourage you to apply.
Early on, much of the role will involve working inbound leads, qualifying opportunities, and learning the technology and sales process. Training and ramp time are expected, and we invest heavily in helping new team members build the knowledge and skills needed to succeed.
New team members receive structured onboarding and mentorship from experienced sales leaders while learning both the business and technical side of enterprise infrastructure sales.
Successful team members grow into Account Executive roles over time.
• Respond to and qualify inbound leads from customers interested in enterprise IT infrastructure and cloud environments
• Conduct outbound prospecting to identify and engage potential customers
• Utilize sales tools and CRM platforms to track leads and help build a strong sales pipeline
• Conduct outreach through phone, email, and other channels to set qualified meetings
• Work alongside senior sales executives to qualify opportunities and support active deals
• Learn to assess customer needs and position Core 4’s solutions across servers, GPUs, storage, networking, and cloud infrastructure
• Manage and track outreach efforts to ensure follow-ups and next steps are executed efficiently
• Attend industry conferences and networking events when applicable
• Participate in ongoing training to strengthen sales techniques and industry knowledge
• Strong communication and interpersonal skills
• Willingness to work from our office in Eden Prairie, MN
• A motivated, self-directed mindset and desire to achieve goals
• Interest in learning the technology behind modern cloud, AI, and data center infrastructure
• Ability to stay organized while managing a high volume of leads and follow-ups
• Comfort initiating conversations with new prospects and qualifying opportunities
• Willingness to work in a salary + commission compensation structure
• Willingness to travel occasionally for industry conferences and events
• A desire to learn, grow, and advance within a fast-paced sales organization
Previous experience in sales, business development, recruiting, hospitality, athletics, or other customer-facing roles can be helpful, but is not required.
Our sales team works hard, moves quickly, and supports each other. We take the work seriously but keep the environment collaborative and informal. People here tend to be curious, competitive, and willing to roll up their sleeves to figure things out together.
If you enjoy being around teammates who celebrate wins, learn from losses, and push each other to improve, you’ll fit right in.
This role provides hands-on mentorship from experienced sales professionals and exposure to complex enterprise technology deals across cloud infrastructure, data center hardware, and emerging AI workloads. Many successful enterprise sales professionals start their careers in roles like this and grow into Account Executive positions.
This role offers a base salary plus commission structure.
Base salary: $50,000 – $60,000 depending on experience
Expected On-Target Earnings (OTE):
• Year 1: $65,000 – $75,000
• Year 2: ~$90,000
• Year 3: $110,000+
Top performers can exceed these ranges as they ramp and take on larger opportunities.
If you're excited about the opportunity and believe you could succeed in this role, we encourage you to apply.
CommanderAI has built the go-to revenue engine for a $100B+ industry. We help haulers find, win, and keep more business using AI-driven data, automation, and a sales workflow built specifically for this market.
We’re hiring a high-volume Account Executive (AE) with uncapped upside to take qualified opportunities from our SDR team and turn them into long-term, high-value customers. If you love running tight sales cycles, delivering sharp demos, and closing net-new logos in an industry that’s just starting to adopt modern tech, keep reading.
What you’ll do
- Own the close: Take qualified meetings and opportunities from SDRs and drive them from discovery through demo, proposal, and signed agreement.
- Run high-impact discovery: Quickly understand a hauler’s line of business and current sales process so you can map CommanderAI to real business outcomes.
- Deliver killer demos: Lead a high velocity sales cycle with tailored demos that show owners and sales leaders how CommanderAI helps them find and win more customers.
- Master High-Velocity Sales: You will be a closing machine. Expect to handle a high volume of inbound demos daily (4-6+/day @ 20-30 min ea). You are ruthless with your time management, quick on your feet, and able to move haulers from "Hello" to "Signed" in 30 days or less.
- Build and manage pipeline: Maintain super fast sales cycles in a clean, accurate pipeline, including deal stages, close dates, and forecast in our CRM.
- Quote and negotiate: Create pricing proposals and quotes, handle objections, and negotiate terms that align value, margin, and long-term partnership.
- Collaborate to win: Partner closely with SDRs on handoffs and follow-through, and with onboarding / product to ensure a smooth go-live and strong early usage.
- Be the trusted advisor: Act as a consultative partner to haulers - not a feature pitcher - helping them modernize their sales process with AI.
- Bring the market back inside: Relay feedback, objections, and feature requests from prospects to leadership and product to help shape the roadmap.
What you’ve done
- Experience: 3+ years in a quota-carrying Account Executive or closing role in B2B, ideally SaaS. Experience selling into SMB / mid-market is a plus.
- Closing track record: Consistently hit or exceeded quota in a closing role, with clear examples of managing a structured sales process from discovery to close.
- Industry familiarity (nice-to-have): Experience selling to waste & recycling, field services, logistics, construction, or other operations-heavy industries.
- Strong communicator: Comfortable presenting to owners, GMs, and sales teams. You can simplify complex tech and keep the conversation focused on ROI and outcomes.
- Process & CRM minded: You live in a CRM, keep your pipeline clean, and can forecast your business with reasonable accuracy.
- Self-starter: You don’t need hand-holding. You show up prepared, run your territory like a business, and find ways to create momentum.
- Comfort with AI & software: You don’t have to code, but you should be comfortable demoing SaaS and talking about AI in practical, non-hype terms.
Why CommanderAI
- Compensation: Competitive base salary + uncapped commission and fast-payouts.
- Structure: Clear quota, transparent comp plan, and no cap on what you can earn if you keep closing.
- Category momentum: Waste and recycling is modernizing fast, and there is no dominant sales platform in the space yet. You’ll help define it.
- Real-world impact: You’re not selling another dashboard for marketers. You’re helping haulers win business, grow routes, and create jobs.
- Ground-floor seat: Join a tight, high-caliber team early, help shape the sales playbook, and grow into senior AE / sales leadership as we scale.
Equal Opportunity
CommanderAI is an equal opportunity employer and values diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.
It usually means your profile isn't lining up with how companies filter, shortlist, and interview candidates right now.
In today's market, employers expect more than a degree or a few tutorial projects.
They want candidates who look job-ready on paper, sound confident in interviews, and demonstrate hands-on ability in the tools teams actually use.
That's exactly what SynergisticIT solves—because the real challenge isn't learning in isolation.
The real challenge is translating learning into interviews and offers.
Since 2010, SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands—think Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Wayfair, and many more—often in the $95k to $154k offer range depending on role, location, and skillset.
The purpose of SynergisticIT is simple: close the gap between what you know and what employers expect you to prove.
Here's the truth employers hire based on whether you can handle real work—clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did.
That's why SynergisticIT emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process.
What roles are in demand right now? A lot of jobseekers assume they must become "AI experts” overnight.
Not true.
Many companies are actively hiring professionals in core roles that run modern software teams.
In JOPP, the demand typically includes roles such as entry-level software programmer, Java full stack developer, Python/Java developer, data analyst, data engineer, data scientist, and machine learning/AI engineer.
In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what employers repeatedly request.
Who benefits most from this model? If you're applying and not seeing results, you're likely in one of these situations: You have skills, but your resume doesn't show impact and your projects look generic You know tools, but you can't explain them confidently in interviews You've learned from courses, but you lack real-world structure and job alignment You've built a portfolio, but it doesn't match what hiring managers evaluate SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats, jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps, people with "learning but not hired” bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway.
SynergisticIT also supports candidates with guidance around STEM extension, and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes).
If you want to explore the program directly, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Us (Fill the Form): You don't need more random applications.
You need a job-ready plan.
Start smarter—start with the right support.
Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
The role involves leading enterprise AI strategies, managing client relationships, and developing quantitative modeling efforts.
Candidates should have a Bachelor's degree, extensive experience in technology consulting, and strong leadership skills in AI/ML projects.
Join a dynamic team focused on innovative solutions that transform business operations in the energy sector.
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The role demands extensive experience in technology consulting and AI-driven solutions.
The successful candidate will guide AI initiatives, manage client relationships, and drive strategic programs.
This position offers competitive compensation with a range of $144,000 to $329,100 annually based on experience.
The firm promotes a hybrid work model and values its diverse team culture.
#J-18808-Ljbffr
Location: United States
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.
This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.
GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.
Join Our Team
We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.
In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.
What you'll get to do...
- Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
- Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
- Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
- Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
- Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization
Your experience should include...
- 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
- 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development
- 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
- A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
- A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
- 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
- The ability to define and implement a vision for experimentation best practices across diverse product areas
You might also have...
- Master's in computer science or equivalent quantitative fields
We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.
We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.
About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.
At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.
GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.
Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.
Remote working/work at home options are available for this role.
Location: United States
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.
This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.
GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.
Join Our Team
We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.
In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.
What you'll get to do...
- Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
- Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
- Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
- Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
- Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization
Your experience should include...
- 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
- 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development
- 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
- A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
- A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
- 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
- The ability to define and implement a vision for experimentation best practices across diverse product areas
You might also have...
- Master's in computer science or equivalent quantitative fields
We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.
We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.
About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.
At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.
GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.
Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.
Remote working/work at home options are available for this role.
Location: United States
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.
This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.
GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.
Join Our Team
We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.
In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.
What you'll get to do...
- Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
- Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
- Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
- Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
- Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization
Your experience should include...
- 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
- 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development
- 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
- A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
- A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
- 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
- The ability to define and implement a vision for experimentation best practices across diverse product areas
You might also have...
- Master's in computer science or equivalent quantitative fields
We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.
We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.
About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.
At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.
GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.
Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.
Remote working/work at home options are available for this role.
