AI Transformation Lead
$150k - $160kTruecoach By Xplor
AI Transformation Lead
Xplor Technologies powers the experiences at the heart of everyday life. Through modern vertical software, embedded payments, and AI-powered capabilities, we help businesses in fitness, recreation, golf and club, field services, laundry, education, and other membership-based and service-based industries simplify operations, uncover insights, and elevate customer and member experiences.
Join our Xplor Pay team as AI Transformation Lead in the United States to make a real impact every day. We say that because we know that every conversation we have, every code line we write and every interface we design is another opportunity for us to elevate everyday life experiences for our customers and the people and communities they serve.
This role is equal parts strategist, translator, and operator - setting direction while ensuring real world execution.
Job Description
Reporting into the Chief Product Officer, you will help us define, own, and execute Xplor's artificial intelligence strategy, bridging business objectives, product vision, and technical capabilities to ensure AI investments drive measurable value. Some of the other responsibilities include:
- Defining and maintaining a clear, company-wide AI strategy aligned with business goals and long-term roadmap, including identifying high-impact use cases across products, operations, risk, customer experience, and internal workflows
- Owning the AI initiative portfolio, including prioritization, sequencing, and resourcing to ensure solutions are pragmatic and scalable
- Translating business problems into AI opportunities and driving pilots from concept to production, with a focus on measurable outcomes
- Partnering closely with Product, Engineering, Data Science, Security, Legal, and Compliance teams to deliver AI solutions embedded into core workflows
- Acting as the primary interface between executive leadership and technical teams for AI-related decisions
- Establishing AI governance frameworks covering transparency, security, and regulatory compliance, and ensuring responsible use of generative AI, machine learning, and automation technologies
- Monitoring evolving AI regulations and industry standards, adapting strategy as the landscape changes
- Building internal AI literacy through frameworks, playbooks, and best practices, and influencing a culture shift toward AI-driven decision-making and automation
- Evaluating build vs. buy decisions, managing key AI vendor relationships, and staying current on AI trends, platforms, and tooling including GenAI, LLMs, and MLOps
You can work fully remote in this position, provided you have eligible working rights and are in a time zone with enough overlap to collaborate with your team.
The average base salary pay range for this position is USD $150,000 to USD $160,000.
May be considered for a discretionary annual bonus.
Qualifications
What would make me a good candidate?
We are looking for curious and empathetic people. We also love to hear from people who are motivated by meaningful work, resonate with our core values, have a positive outlook, are comfortable with ambiguity and thrive working in an ever-evolving and complex environment. We are inspired by meeting big picture thinkers and doers, people who can be both tactical and strategic, aim high and put people first in everything they do.
Must have:
- 8 to 12 or more years of experience in strategy, product, data, technology, or consulting roles
- Demonstrated experience leading AI, data, or advanced analytics initiatives from strategy through to execution
- Strong understanding of AI and ML concepts, generative AI, and data-driven systems, with technical depth that allows you to engage meaningfully without needing to write code daily
- Proven ability to influence senior stakeholders and operate confidently at the executive level
- Experience translating complex business problems into scalable, pragmatic AI solutions
- Ability to establish and maintain governance frameworks covering transparency, security, and regulatory compliance
Nice to have:
- Experience working in highly regulated or complex business environments
- Familiarity with MLOps practices and the tooling ecosystem around LLMs and generative AI
- Track record of managing AI vendor relationships and making informed build vs. buy decisions
- Experience driving organizational change management and building AI literacy across non-technical teams
- Exposure to the payments, fintech, or vertical SaaS industry
Additional Information
At Xplor, we believe that the best innovation and ideas happen at the intersections of our differences - people of diverse cultures, generations, disciplines, and lived experiences. So even if you think you do not tick all the boxes, we still encourage you to apply.
Our five core values
At Xplor, our culture is built around five values that guide how we work and how we treat each other:
- Find a better way: We are always looking for smarter solutions and continuous improvement
- Do the right thing: We act with integrity, even when no one is watching
- Say it straight: We communicate openly, honestly, and directly
- Win together: We collaborate across teams and celebrate shared success
- Own the outcome: We take responsibility and follow through
Life at Xplor
We offer a range of perks and benefits designed to support the whole person:
- Paid Parental Leave to support your family when it matters most
- GiveBack Days so you can give your time to causes you care about
- A dedicated Diversity and Inclusion Council working to build a more equitable workplace
- Mental health support and resources to help you thrive
- Flexible working arrangements to suit your life
Ready to apply?
To be considered for this role, please include a cover letter along with your resume. We want to know what makes you tick and why this role, at this time, feels right for you. Even better, if you have a moonshot idea for how Xplor could use AI to transform the payments space, tell us about it. We would love to hear how you think.
All your information will be kept confidential according to EEO guidelines.
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