Excel Ai Agent Jobs in Usa

14,095 positions found — Page 6

Vice President/Director of Business Development (AI Data Centers)
Salary not disclosed
Dallas, TX 6 days ago

Location: Dallas, Texas, United States

We are looking for a senior business development leader to drive growth in the rapidly expanding AI Data Center construction and infrastructure market. This role is ideal for a strategic professional with strong industry relationships and a proven track record of winning large-scale AI / hyperscale data center projects.


The successful candidate will lead business development initiatives, build strategic partnerships, and secure high-value projects within the AI and hyperscale data center ecosystem.


Key Responsibilities


• Lead business development strategy for AI and hyperscale data center construction projects

• Identify and secure new opportunities with AI companies, hyperscalers, developers, and data center operators

• Build and maintain executive-level relationships with key stakeholders and decision-makers

• Manage the full sales lifecycle from lead generation to contract closure

• Collaborate with internal teams including engineering, construction, and project management

• Track industry trends, emerging technologies, and market opportunities in AI infrastructure


Requirements


10+ years of experience in business development, sales, or strategic partnerships

• Strong background in data center development, construction, or mission-critical infrastructure

• Demonstrated success in securing large-scale data center or AI infrastructure projects

• Established network with hyperscalers, AI companies, developers, or colocation providers

• Excellent leadership, negotiation, and relationship management skills

Not Specified
Sr. Generative AI Developer
Salary not disclosed
Dallas 2 days ago
Sr.

Generative AI Developer Location: Dallas TX/ Tampa FL/New Jersey
- Hybrid Fulltime/FTE Salary: Market Client: Bank Role Overview We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques.

The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP).

This role requires a deep understanding of system architecture design, scalable APIs, and end-to-end AI solution development.

Key Responsibilities Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.

Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance.

Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.

Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.

Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases.

Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP).

Conduct performance tuning and optimization of AI models and APIs.

Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies.

Required Skills & Qualifications 8+ years of professional experience in software development and system design.

Strong proficiency in Python and experience with FastAPI for API development.

Hands-on experience with Generative AI frameworks and RAG architectures.

Solid understanding of system and architecture design principles for distributed applications.

Experience deploying solutions on any major cloud platform (AWS, Azure, GCP).

Familiarity with vector databases, embedding models, and retrieval pipelines.

Strong problem-solving skills and ability to work in a fast-paced environment.

Preferred Qualifications Experience with LLM fine-tuning, prompt engineering, and model evaluation.

Knowledge of containerization (Docker) and orchestration (Kubernetes).

Exposure to CI/CD pipelines and DevOps practices.

Email:
Not Specified
Lead AI Safety and Enablement Engineer
$147,000 - $250,000 per year
Help us change lives

At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others.

Position Overview

The Lead AI Safety and Enablement Engineer ensures the safe, reliable and scalable use of AI and machine learning across Exact Sciences. This role focuses on developing and implementing systems, tools, and frameworks that embed responsible AI principles into the organization’s technology ecosystem. The position combines software engineering expertise with a strong understanding of AI risk management, compliance, and observability.

This role is based in one of our office location. Relocation assistance provided to those not local to the area and willing to relocate.

Essential Duties

Include, but are not limited to, the following:

- Support implementation of enterprise standards for AI safety, transparency, and reliability.
- Develop and maintain shared AI safety tools such as model catalogs, metadata registries, and monitoring systems for bias, drift, and performance.
- Build APIs, templates, and SDKs that integrate governance and validation into AI/ML development pipelines.
- Contribute to the design of observability and telemetry solutions for continuous monitoring of model and data quality.
- Collaborate with Legal, Privacy, Compliance, and InfoSec teams to translate AI policies into automated controls and technical safeguards.
- Work with ML and GenAI teams to embed validation and safety checkpoints in AI workflows.
- Participate in cross-functional reviews and discussions supporting AI governance and responsible AI practices.
- Promote awareness and adoption of responsible AI principles through tools, documentation, and knowledge sharing.
- Support and comply with the company’s Quality Management System policies and procedures.
- Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
- Maintain regular and reliable attendance.
- Ability to act with an inclusion mindset and model these behaviors for the organization.

Minimum Qualifications

- Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
- 8 years of experience in software, ML systems, or platform engineering.
- Practical experience with AI lifecycle tools (e.g., MLflow, Arize, WhyLabs, Label Studio).
- Proficiency in Python, CI/CD processes, and cloud platforms (AWS, Azure, or GCP).
- Experience developing scalable and compliant ML systems and tools.
- Applicants must be currently authorized to work in country where work will be performed on a full or part-time basis. We are unable to sponsor or take over sponsorship of employment visas at this time.

Preferred Qualifications

- Master’s degree in Computer Science, Data Engineering, or AI.
- Experience implementing AI assurance, observability, or risk management frameworks.
- Knowledge of GenAI, LLM evaluation, and prompt safety practices.
- Familiarity with FDA, HIPAA, or GxP compliance standards.

#LI-CB1

Salary Range:

$184,000.00- $276,000.00

The annual base salary shown is for this position located in US - WI - Madison on a full-time basis and may differ by hiring location. In addition, this position is bonus eligible.

Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits.

Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here.

Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences.

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.

To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.
permanent
Senior PMT, Agentic Seller Growth
🏢 Amazon
Salary not disclosed
Seattle, WA 2 days ago
Selling Partner Growth organization's vision is to empower Selling Partners with tools and programs that make Amazon store the premiere destination for new sellers, and create the best place to build brands and achieve long-term, sustainable growth. One of the ways we make progress towards this vision is through delivering relevant, trust-worthy, and globally optimized action recommendations to our Selling Partners.

At any given time, there are a multitude of actions Selling Partners can take to grow their business on Amazon. Our team owns the intelligence that gathers these actions and transforms them into sequenced, prioritized, intuitive business plans Selling Partners can discover and action through conversational experiences. We're looking for a product leader ready to make a significant impact in a rapidly evolving field, helping Selling Partners move from a high-touch growth experience to fully scaling their business through AI-powered guidance and automation.

Key job responsibilities
As a Senior Product Manager - Tech working on Agentic Seller Growth, you will be responsible for designing, experimenting with, and delivering delightful experiences that help Amazon's Selling Partners discover and effortlessly act upon their most impactful growth opportunities. You will work backwards from fast evolving Selling Partner needs, partner with engineers, data scientists and UX designers to ensure the experience is trust-worthy and relevant. Working with the latest technology, you will often deal with high ambiguity and make trade-off decisions between speed and quality. You will frequently present to and seek alignment with senior leaders from partner teams. - Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics
- 5+ years of end to end product delivery experience
- 5+ years of technical product or program management experience
- Experience overseeing roadmap strategy and definition throughout the product life cycle from concept to end of lifecycle
- Experience participating in or leading technical collaborations and creating alignment across diverse groups (e.g., hardware engineering, software engineering, program management)
- Experience communicating clearly and concisely with leadership, stakeholders, and cross-functional teams- Master's degree, or MBA in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- Experience in analytics, data engineering or business intelligence from a large scale business enterprise
- Experience in solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits), or experience communicating results to senior leadership
- Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting
- Experience identifying opportunities to integrate AI solutions into products and services to drive business value.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , WA, Seattle - 151,2 ,600.00 USD annually
Not Specified
Sr. Engineering Manager, AI/ML Serving Platform
Salary not disclosed
San Francisco, CA 2 days ago

About Pinterest:


Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.


Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.


At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.


Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Sr. Engineering Manager, AI/ML Serving Platform


The AI/ML Serving Platform team provides foundational tools and infrastructure used by hundreds of AI/ML engineers across Pinterest, including recommendations, ads, visual search, growth/notifications, trust and safety. We aim to ensure that AI/ML systems are efficient, healthy (production-grade quality) and fast (for modelers to iterate upon).


Pinterest is seeking a Sr. Engineering Manager to lead the team that builds the serving and deployment infrastructure for all AI/ML models at Pinterest. Systems include:



  • Ultra-high-performance C++ model inference engine for production recommendations and content ranking systems. TorchScript + CUDA Graph models on GPU inference, serving 500+M inferences/second.
  • Production GenAI & LLM model inference stack for emerging use cases.
  • Model routing, deployment, monitoring. Kubernetes-based provisioning.
  • Feature fetching, caching, and logging

What you'll do



  • Lead the team to deliver continual improvements in advanced model architectures, cost-efficient resource utilization, and AI/ML developer productivity.
  • Set technical direction for the team based on company and org priorities
  • Coach and develop talent on the team.

What we're looking for:



  • Experience managing platform engineering teams with many cross-organizational customers
  • Experience leading the development of large-scale distributed serving systems
  • Experience with AI/ML inference technologies (e.g. PyTorch, TensorFlow) for online serving at Web scale
  • Bachelor's degree in Computer Science, a related field or equivalent experience.

In-Office Requirement Statement:



  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:



  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.


#LI-REMOTE


#LI-AH2

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.


Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$208,592—$429,454 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
Tech Trans Associate [Mid–Senior] @ AI & Fintech-Focused Platform
Salary not disclosed
Washington, DC 3 days ago

Overview

Whistler Partners is partnering with a nationally recognized technology transactions practice seeking a mid-to-senior level associate (4–8 years) to join its Washington, DC office.


This team operates at the forefront of emerging technologies, advising clients across fintech, financial services, artificial intelligence, cloud services, outsourcing, digital assets, and advertising. The practice sits at the intersection of IP, data strategy, product counseling, and complex commercial contracting in a rapidly evolving regulatory environment.


Why this role?

This is a rare opportunity to build a cutting-edge tech transactions practice focused on AI systems, fintech infrastructure, and data commercialization. The team handles sophisticated, strategic transactions—not just routine commercial agreements—and serves as trusted advisors to innovative companies navigating complex technological and regulatory shifts.


You’ll work on high-value licensing, outsourcing, and product counseling matters while staying close to regulatory developments in AI, open banking, and digital assets. This seat is ideal for someone who enjoys blending deep contractual work with forward-looking technology strategy.


Key Responsibilities

  • Structure, draft, and negotiate strategic technology transactions involving fintech, AI systems, cloud services, and software platforms.
  • Draft and negotiate vendor, supplier, and outsourcing agreements.
  • Advise clients on intellectual property and regulatory issues relating to data, open banking, AI model development, and content use.
  • Draft and negotiate agreements involving software licensing, commercialization, technology development, and IP rights.
  • Provide product counseling and guidance on advertising, marketing, and promotional law for innovative tech launches.
  • Negotiate AI system licenses and content licenses for AI model training.
  • Monitor emerging regulatory frameworks impacting AI, fintech, payments, and advanced technologies.


Top Requirements

  • 4–8 years of experience in technology transactions, licensing, fintech, IP, or outsourcing.
  • Strong understanding of commercialization of advanced technologies, including payments, AI, cloud computing, and software.
  • Experience negotiating complex IP, data access, and licensing arrangements.
  • Background advising fintech, financial institutions, or digital asset clients.
  • Exceptional drafting, negotiation, and communication skills.
  • Ability to manage multiple sophisticated matters in a collaborative, fast-paced environment.
  • JD and admission to practice in the relevant jurisdiction.


Preferred Experience

  • Experience negotiating AI system and AI training content licenses.
  • Familiarity with advertising and marketing law as applied to technology companies.
  • Experience advising on IP aspects of M&A and related transactions.
  • Exposure to fintech, payments, cloud services, AI, government contracts, outsourcing, or digital asset clients.


Compensation

  • $225,000 – $330,000 base salary, depending on experience.
  • Comprehensive benefits including medical, dental, life insurance, paid holidays, sick time, long-term disability, and 401(k).


TL;DR

Mid–senior tech transactions role in DC focused on AI systems, fintech, cloud, and advanced data deals. High-end licensing and commercialization work with strong regulatory adjacency. $225K–$330K base.



About Whistler Partners

Matchmakers, Not Headhunters

Whistler Partners is a boutique matchmaking firm focused on counseling the best and the brightest attorneys over the course of their careers. We believe that the right move comes from working closely with talent to curate their long-term career paths. When it comes to career advice, what matters is not the size of the agency but the strength of your individual recruiter.


We readily admit that we are elite and only work with the best – after all, a little elitism is okay when it comes to your career. Employers love us because we are picky about whom we represent, and attorneys love us because we get them their dream jobs.

Not Specified
Recruiter (Real Estate Agents)
Salary not disclosed
Orlando, FL 3 days ago

CENTURY 21 Edge is hiring a Real Estate Agent Recruiter to help us attract, interview, and convert newly licensed real estate agents into affiliated agents of our brokerage.


Let’s be clear: this is not a traditional recruiting role.


This is a sales role wrapped in recruiting. The agents you will speak with are not applying for a typical W-2 job. They are licensed sales professionals choosing between multiple brokerages, and in most cases, every brokerage they interview with will say yes. Your job is to make sure they say yes to us.


We generate a strong flow of leads for this role, typically 50 to 100 newly licensed agent leads per week. From there, you own the process. You will conduct outreach, build interest, get candidates to schedule, interview them yourself, overcome objections, secure signed Independent Contractor Agreements, and hand new agents off to onboarding and coaching.


If you are competitive, persuasive, goal-focused, strong on the phone, and know how to close, keep reading.


About CENTURY 21 Edge


CENTURY 21 Edge is a growth-focused real estate brokerage serving agents across Florida. We are serious about helping agents build real businesses, not just giving them a place to hang their license.


We offer newly licensed agents a compelling opportunity, including a $100,000 income guarantee for qualified participants, a dedicated productivity coach who does not compete with agents for business, and best-in-class technology featuring advanced AI and automations that reduce busywork so agents can focus on relationships, production, and growth.


This is not a brokerage built for mediocrity. We are looking for someone who can sell that story with confidence and conviction.


What You’ll Do

  • Follow up with newly licensed real estate agent leads generated by the company
  • Proactively contact prospects by phone, text, email, and other approved communication channels
  • Generate interest in CENTURY 21 Edge and convert prospects into scheduled interviews
  • Conduct recruiting interviews with newly licensed agents
  • Ask strong questions to uncover each candidate’s goals, motivations, hesitation points, and objections
  • Clearly and persuasively present the value of affiliating with CENTURY 21 Edge
  • Overcome objections and guide candidates through the decision-making process
  • Create urgency and help candidates make a decision before they join a competing brokerage
  • Secure signed Independent Contractor Agreements from agents who choose to join
  • Hand newly signed agents off to onboarding and the productivity coach
  • Maintain accurate notes, follow-up, pipeline stages, and conversion activity in the CRM
  • Use additional outreach strategies to attract candidates beyond company-generated leads when needed
  • Continuously improve recruiting messaging, scripts, and conversion strategies


What You’ll Be Selling


CENTURY 21 Edge gives newly licensed agents real reasons to choose us, including:

  • A $100,000 income guarantee for newly licensed agents who qualify
  • A dedicated productivity coach focused on helping agents succeed
  • Coaching and support from someone who does not compete with agents for business
  • Best-in-class technology, including advanced AI and automations
  • Systems designed to reduce admin work so agents can focus on building relationships and growing their business
  • A high-performance environment for agents who want more than just a place to hang their license


What Success Looks Like


Success in this role is measured by results, not just activity. That includes:

  • Fast and consistent lead follow-up
  • High outreach volume and strong contact rates
  • Interviews scheduled and conducted
  • Strong conversion from lead to interview to signed ICA
  • Effective objection handling
  • Strong candidate experience
  • Smooth handoff of newly signed agents into onboarding and coaching
  • Contribution to long-term brokerage growth through quality recruits


Who This Role Is Really For


This role is for someone who understands that recruiting independent contractors is a sales process. The right person knows how to:

  • build rapport quickly
  • control a conversation
  • ask smart questions
  • uncover real objections
  • create urgency
  • close decisively


This role is best suited for someone with a strong sales background who understands how to influence decisions and win business. Traditional HR-only or passive recruiting backgrounds are unlikely to be a fit.


Preferred Background

  • Experience in B2B sales, inside sales, business development, consultative sales, or other closing-focused sales roles strongly preferred
  • Experience conducting interviews, presentations, or consultative sales conversations
  • Experience managing a pipeline and follow-up process in a CRM
  • Experience in real estate, mortgage, title, staffing sales, franchise sales, or membership sales is a plus
  • Real estate knowledge is helpful, but proven sales ability matters more than industry background


What We’re Looking For

  • Competitive and goal-driven
  • Strong closer mentality
  • Excellent phone presence and verbal communication skills
  • Real estate sales experience preferred
  • Skilled at persuasion and objection handling
  • Comfortable leading interviews and guiding decisions
  • Organized and disciplined with follow-up
  • Willing to do what it takes to get strong candidates in and signed
  • High accountability and strong sense of urgency
  • Comfortable in a metrics-driven role where performance matters


Schedule and Location


This is an on-site role based in our Orlando office.


The typical schedule is Monday through Friday, but we are looking for someone who understands that strong candidates do not always fit neatly into business hours. When needed, the right person is willing to accommodate an evening interview or a Saturday appointment to get the right candidate in, sold, and signed.


Compensation


This role offers a base salary plus performance-based compensation, including:

  • A signing bonus for each agent who joins the brokerage
  • A percentage of coaching revenue generated from closed deals by agents you recruited
  • For an aggressive, proven closer, the total compensation opportunity can easily exceed $100,000.


Why Join CENTURY 21 Edge


This is a high-impact role for someone who wants to directly influence the growth of a respected, ambitious brokerage. If you are energized by sales, persuasion, and closing, and you want your income tied to results, this is an opportunity to build something meaningful while being rewarded for performance.

Not Specified
AI Experimentation Strategy Director (Remote)
✦ New
🏢 GoDaddy
Salary not disclosed
Remote, Oregon 1 day ago

Location: United States

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

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

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

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

Join Our Team

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

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

What you'll get to do...

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

Your experience should include...

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

You might also have...

  • Master's in computer science or equivalent quantitative fields

 

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

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

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

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

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

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

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

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


Remote working/work at home options are available for this role.
Not Specified
Lead Experimentation Scientist in AI (Remote)
✦ New
🏢 GoDaddy
Salary not disclosed
Remote, Oregon 1 day ago

Location: United States

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

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

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

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

Join Our Team

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

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

What you'll get to do...

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

Your experience should include...

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

You might also have...

  • Master's in computer science or equivalent quantitative fields

 

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

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

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

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

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

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

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

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


Remote working/work at home options are available for this role.
Not Specified
Senior Manager Experimentation Science AI (Remote)
✦ New
🏢 GoDaddy
Salary not disclosed
Remote, Oregon 1 day ago

Location: United States

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

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

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

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

Join Our Team

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

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

What you'll get to do...

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

Your experience should include...

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

You might also have...

  • Master's in computer science or equivalent quantitative fields

 

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

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

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

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

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

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

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

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


Remote working/work at home options are available for this role.
Not Specified
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