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Looking for a Gen AI architect with 15+ years experience and 8+years experience focusing on Model Optimization, Fine-Tuning & Strategic AI in San Francisco, CA.
Role Summary:
You represent the pinnacle of Applied AI engineering. You are not just using APIs; you are optimizing the models themselves. You understand the mathematics behind the attention mechanism, you know how to squeeze performance out of GPUs, and you can customize models for specific domains. You provide the high-level technical vision and handle the most difficult edge cases. .
Key Responsibilities:
Model Fine-Tuning: Implement PEFT (Parameter-Efficient Fine-Tuning), LoRA, and QLoRA to adapt open-source models (Llama 3, Mistral) to specific client domains.
Optimization & Quantization: Perform model quantization to reduce inference costs and latency without sacrificing quality. Manage Dense Vectors and embedding optimizations.
State-of-the-Art Exploration: Continuously research and implement the latest advancements (e.g., State Space Models, Long-Context optimizations) into client deliverables.
Strategic Consulting: Act as a trusted advisor to C-level client executives, defining the \"Art of the Possible\" and guiding long-term AI roadmaps.
Technical Requirements:
Deep Learning: PyTorch/TensorFlow, Transformers architecture internals, Attention mechanisms.
Model Ops: Serving custom models (vLLM, TGI), GPU memory management, Quantization techniques (GGUF, AWQ).
Advanced Data: Training data curation, synthetic data generation, RLHF concepts.
Tech Leadership: Ability to define the technical culture and set standards for the entire FDE organization.
Soft Skills:
Executive communication and ability to influence C‐level leaders.
Thought leadership and industry presence (conferences, playbooks, forums).
Cross‐org leadership and conflict resolution.
Ability to define long‐term AI vision and cultural standards.
Strategic decision‐making balancing cost, risk, and performance.
Fractal is a strategic AI partner to Fortune 500 companies, with a bold vision: to power every human decision in the enterprise. We believe the future belongs to organizations that combine human imagination with intelligent systems—and Fractalites are the ones building that future. As we scale our Technology, Media & Telecom (TMT) practice in the United States, we are looking for a senior, client-facing Head of Engineering to shape and deliver world-class Data & AI platforms for leading Technology, Media & Telecom organizations.
This is not a back-office engineering role. This is a consulting-led, client-facing engineering leadership position for someone who is equally comfortable whiteboarding architecture with principal engineers, rolling up their sleeves with delivery teams, and advising CIOs, CTOs, and CDOs in the boardroom.
Learn more at Fractal | Intelligence for Imagination.
Note: This position is not eligible for Immigration Sponsorship at this time.
About the Role
This is a four-axis leadership role requiring technical depth, executive presence, team leadership, and embedded delivery. You'll work directly with top technical and functional leaders at some of the largest TMT companies in the world.
As Head of Engineering for Fractal's Technology, Media & Telecom (TMT) vertical, you will personally shape the architecture of mission-critical AIML platforms, often in first-party tech stack, and develop/drive the team of ICs who bring them to life.
Responsibilities
Some engagements will look like a traditional advisory model. Others will look a lot more like Forward Deployed Engineering: your team embedded inside a client's engineering org, working within their first-party tech stack, shipping production code alongside their engineers, and earning influence through technical credibility, not org chart position.
You will need to be in the room when the technology roadmap needs to change. When a business pivot, a new regulation, or a technology shift forces a rethink mid-execution, you are the person who picks up the marker, walks to the whiteboard, and redraws the architecture in real time, credibly, for the CTO, and Principal Engineering leaders simultaneously.
Technical Depth (Hands-On Architecture)
- Own AI/Data platform architecture decisions — from Lakehouse design and real-time streaming to MLOps, LLMOps, and AgentOps pipelines in production
- Serve as the technical authority for Fractal's TMT engineering practice — defining standards, reviewing design, and holding the bar on reliability, scalability, and security
- Translate ambiguous business problems into concrete, buildable platform architectures — and stay close enough to execution to know when something is not working
- Drive the industrialization of GenAI: moving clients from proof-of-concept to enterprise-grade, governed, and observable AI systems
Executive Presence & Live Architectural Thinking
- Command the room with senior client leadership — CIOs, CTOs, CDOs, and their direct reports - as a peer, not a vendor
- Whiteboard new architectural directions on the spot: when a business pivot, acquisition, regulatory shift, or technology breakthrough forces a mid-execution rethink, you synthesize it into a credible, buildable path forward live, in the room, without needing a week to prepare a deck
- Translate between two worlds simultaneously: make the architecture legible to a CFO and rigorous enough to satisfy a principal engineer in the same session
- Shape client roadmaps at the strategic level; identifying where the current plan is under-ambitious, over-engineered, or misaligned with emerging AI capabilities, and steering accordingly
- Represent Fractal at the highest level of client relationship
Team Leadership (Building & Driving Senior ICs)
- Develop and lead a high-performing group of individual contributors. principally senior and staff engineers, ML engineers, and data platform engineers
- Create the engineering culture: rigorous delivery standards, architectural thinking, and a bias toward elegant, production-grade solutions over quick fixes
- Build leadership depth within the team, identifying principals who can own programs and grow into broader roles
- Partner across Fractal's global AI and engineering Capability functions to staff programs strategically and raise capability across the TMT practice
Forward-Deployed & Embedded Delivery
- Lead and run FDE-style engagements where your team operates inside the client's engineering environment
- Navigate and deliver within client-owned, first-party technology stacks: proprietary data platforms, internal ML infrastructure, custom orchestration systems, and bespoke toolchains that do not appear in any industry survey
- Adapt quickly to non-standard environments, understanding a client's internal platform deeply enough to extend it, integrate into it, and earn the trust of their engineering staff
- Balance the tension between what Fractal does best and what the client's stack demands, knowing when to bring pattern, when to adapt, and when to advocate for a better path
- Set the standards for how Fractal operates in deeply embedded engagements: how we onboard, document, transfer knowledge, and leave clients stronger than we found them
Candidate Profile
Technical Qualifications
TMT clients bring genuinely hard problems on both open and proprietary infrastructure. Expect to architect and oversee:
- GenAI systems: RAG architectures, LLM fine-tuning pipelines, agentic workflow orchestration, and LLMOps observability
- AI-powered products: personalization engines, churn prediction, content recommendation, and network fault detection
- Client-proprietary ML infrastructure: internal feature stores, custom model serving layers, bespoke experiment tracking systems, and first-party orchestration frameworks
- Cloud-native infrastructure across AWS, Azure, and GCP with enterprise-grade governance, security, and compliance baked in
- Real-time and event driven data pipelines (e.g. network telemetry)
- Modern Lakehouse platforms (Databricks, Snowflake, Delta Lake, Iceberg) at petabyte scale and proprietary data platform equivalents at leading tech-forward TMT organizations
Non-technical Qualifications
We are particularly interested in leaders from environments where engineering rigor, client accountability, executive presence, and AI depth all coexist including Forward Deployed Engineering, elite data/ML platform teams, and senior hyperscaler architecture practices.
- 15–20 years of experience spanning AI/data engineering and technical leadership with clear evidence of owning architecture at scale
- Deep hands-on experience deploying AI/ML/GenAI systems in production, in addition to advising on them
- Demonstrated executive presence: you have walked into a CTO or CDO review, redrawn the architecture based on new constraints, and left the room with alignment
- The ability to whiteboard fluently under pressure, synthesizing a team's in-flight work with a new business direction, making it rigorous enough for engineers and clear enough for executives, on the spot and without a rehearsal
- Experience operating within client-owned or non-standard technology stacks - you have learned a proprietary system, earned trust from skeptical internal engineers, and delivered production-grade results inside someone else's infrastructure
- A track record of leading senior engineers and building high-performance ML/engineering teams, including hiring, coaching, and developing principal-level ICs
- Direct executive engagement experience - you have influenced CIO/CTO/CDO decisions and can hold your own in a room with technical and non-technical stakeholders at once
- Strong cloud-native fluency across one or more hyperscalers, with genuine depth in data platform patterns (streaming, batch, Lakehouse, governance)
Strong Preferences
- Experience in TMT vertical — hi-tech, telco, media platforms, streaming infrastructure, ad tech, or content delivery at scale
- Prior work in FDE-style or embedded delivery models where your team shipped inside a client codebase and was evaluated by their engineering standards, not just deliverable milestones
- Comfort with the ambiguity of 1P stack environments: you have debugged undocumented internal tools, extended proprietary frameworks, and figured out how to make external expertise land inside a closed ecosystem
- A personal reputation for architectural clarity: the person colleagues call when a problem needs to be drawn, not just describe
- Contributions to the ML/AI community: open source, publications, conference talks, or influential architectural patterns
Who Thrives Here
The Fractalite mindset is curious, rigorous, and impact driven. You will thrive in this role if you:
- Enjoy being client-facing and accountable for outcomes.
- Are comfortable navigating ambiguity, scale, and complex stakeholder environments.
- Believe great platforms come from strong engineering culture plus disciplined execution.
- See AI not as a novelty, but as a core enterprise capability that must be engineered responsibly.
Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Electrical Engineer - Data Centers - San Francisco
Metric DCX are partnered with a global engineering and consultancy firm to support the continued growth of their data center division.
This Electrical Engineer position will specialize in data center facility design to be embedded directly with a major end-user client.
Responsibilities:
- Assessing third-party and colocation facilities being considered for acquisition, evaluating their suitability against the client's portfolio requirements.
- Taking ownership of power systems across all project phases, identifying and resolving issues as they arise in collaboration with the relevant client stakeholders.
- Reviewing data center designs with a critical eye on redundancy architecture, availability targets, and potential single points of failure.
- Working closely with operations, planning, and energy strategy teams to push electrical solutions forward on third-party data center projects.
- Conducting technical due diligence and maintaining quality standards in line with client expectations.
- Keeping internal documentation, specs, and standards current based on live project feedback and lessons learned.
- Liaising with internal teams on power loading, rack deployment, and load balancing within shared facilities.
- Contributing to cross-discipline coordination with mechanical and controls engineers, and supporting consistency across regional teams.
Background Required
- Degree-qualified in Electrical Engineering; a postgraduate qualification or PE license would be a strong advantage.
- At least five years working within mission-critical environments, with solid hands-on exposure to colocation and multi-tenant data center projects specifically.
- Confident in power systems analysis and the software tools that come with it.
- Practical experience across the full electrical distribution stack — from high voltage transformers down to branch circuits — covering design, procurement, commissioning, and operations.
- Comfortable working across disciplines and engaging with structural, mechanical, civil, and IT/Telecom teams as needed.
- Grounded in US electrical codes and standards, with some awareness of IEC standards beneficial.
Talent Acquisition Manager – AI Infrastructure & Engineering
San Francisco, California
Hybrid Working
We are expanding our global team and launching a new office in San Francisco.
WNTD is looking for an experienced Talent Acquisition Manager to join our Talent Solutions team and support the continued growth of AI infrastructure and accelerated compute platforms across North America.
This role will support one of the most significant AI infrastructure expansion programmes currently underway, focused on building next generation platforms powered by NVIDIA accelerated compute.
You will work closely with senior technical leaders to attract and hire talent across the full infrastructure stack including software engineering, AI platforms, GPU environments and large scale compute infrastructure.
This is a delivery focused role supporting high growth engineering programmes across AI infrastructure and cloud platforms.
The Role
You will lead hiring across multiple engineering disciplines spanning software engineering, AI infrastructure platforms and high performance compute environments.
Working closely with technical leadership and programme stakeholders, you will build pipelines of high quality candidates and manage fast moving hiring plans across several technical workstreams.
Key Responsibilities
• Build and manage talent pipelines across software engineering, AI infrastructure and GPU compute environments
• Proactively source talent across the United States through mapping, referrals and direct outreach
• Screen candidates for technical capability, experience and long term fit
• Partner with engineering leaders to define hiring priorities and role requirements
• Maintain clear tracking of hiring pipelines and delivery progress
• Support wider Talent Solutions activity during peak delivery phases
• Ensure a professional and consistent candidate experience
• Champion fair and inclusive hiring practices
Key Experience
• Proven experience hiring across complex engineering environments
• Strong track record building pipelines across software and infrastructure roles
• Comfortable engaging with technical stakeholders and discussing engineering topics
• Excellent communication and stakeholder management skills
• Strong organisation with the ability to manage multiple roles simultaneously
What We Offer
• Competitive salary and benefits
• Opportunity to support one of the fastest growing AI infrastructure build programmes globally
• Growth within a high performing delivery focused team
• Hybrid working model
• A collaborative culture that values ownership, pace and problem solving
Additional Requirements
• Ability to commute to the San Francisco office
• No visa sponsorship available
• Hybrid working model
Our client, a Fortune 500 retail organization with a nationwide distribution network, is seeking a Strategic Sourcing Manager to support large-scale construction and facilities engineering procurement initiatives across their supply chain network.
This role plays a key part in sourcing industrial construction materials, equipment, and services for new facility builds, expansions, and ongoing engineering initiatives. The individual will partner closely with engineering, property development, legal, finance, and operations teams to design sourcing strategies that deliver cost efficiency, risk mitigation, and supplier performance improvements.
The ideal candidate will bring deep expertise in construction procurement, contract negotiation, and cost modeling, with the ability to influence stakeholders and drive complex sourcing projects from concept through execution.
Projects You'll Work On
- Leading end-to-end strategic sourcing initiatives for industrial construction and facilities engineering categories.
- Developing sourcing strategies for categories such as steel structures, concrete, MEP systems, material handling equipment, racking systems, conveyors, and site services.
- Managing the full sourcing lifecycle including market research, supplier identification, RFP development, bid management, negotiations, and contract execution.
- Conducting construction cost analysis, clean-sheet modeling, and should-cost modeling to identify optimal pricing and savings opportunities.
- Partnering with engineering and development teams to support distribution center construction, expansions, and infrastructure upgrades.
- Managing supplier relationships and performance through KPIs, quarterly business reviews (QBRs), and executive-level supplier meetings.
- Performing spend analysis and market intelligence research to anticipate supply risks and pricing fluctuations.
- Driving cost optimization through value engineering, competitive bidding, and strategic negotiations.
- Supporting facilities engineering teams with sourcing for material handling equipment repair, refurbishment, and replacement.
- Developing presentations and recommendations for executive leadership to support strategic sourcing decisions.
What Experience You Should Bring
- Bachelor's degree in Supply Chain, Construction Management, Engineering, Finance, Economics, or Business (MBA or advanced degree preferred).
- 5+ years of strategic sourcing or category management experience focused on industrial construction or facilities engineering procurement.
- Experience managing large-scale sourcing projects for construction materials, contractors, or engineering services.
- Strong understanding of construction cost estimation, budgeting, and material cost drivers.
- Experience leading RFP/RFQ processes, supplier negotiations, and contract development.
- Ability to analyze supplier bids using TCO modeling, cost analysis, and financial modeling.
- Experience working cross-functionally with engineering, legal, finance, and project management teams.
What Will Help You Stand Out
- Familiarity with distribution center construction, logistics infrastructure, or retail supply chain environments.
- Experience working with construction management software (e.g., Procore) and sourcing platforms (e.g., Coupa).
- Knowledge of regulatory frameworks such as OSHA, LEED, and construction compliance standards.
- Professional certifications such as CPSM, CCM, or CCPS.
- Strong financial acumen including experience analyzing budgets, cash flow, and cost structures.
- Advanced Excel skills (pivot tables, VLOOKUPs, data modeling) and strong presentation capabilities.
Work Environment
- Hybrid role with regular in-office collaboration and occasional travel to facilities and project sites.
- Ability to manage multiple sourcing projects simultaneously in a fast-paced, cross-functional environment.
Compensation & Benefits
The base salary range for this position is up to $200,000.00, depending on experience and qualifications.
The total rewards package may include performance incentives, health benefits, retirement plans, and professional development opportunities.
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.
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.
Remote working/work at home options are available for this role.
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.
Remote working/work at home options are available for this role.