Interested in this AI/ML Engineer role at ABC Fitness?
Apply Now →About This Role
Join ABC Fitness and become part of a culture that’s as ambitious as it is authentic. Let’s transform the future of fitness—together!
Our Values
Best Life
We believe great work begins with great people. That’s why our culture is built on respect, trust, and belonging. We create an inclusive environment where every team member can bring their authentic self to work—because diverse perspectives drive innovation and meaningful impact.
Growth Mindset
We are doers, thinkers, and dreamers. At ABC Fitness, your growth is our investment. Through continuous learning, mentorship, and professional development opportunities, we empower you to reach new heights—personally and professionally.
One Team
From day one, you’ll be part of a team that collaborates, celebrates, and cares. We move fast, support one another, and have fun along the way. Because when you thrive, we all thrive.
INTRODUCTION
We are seeking an accomplished executive to lead the strategic transformation of our global Customer Support organization.
Reporting to the SVP of Customer Support, the Vice President will shape the future operating model of Customer Support by leveraging AI, organizational design, and enterprise transformation practices to fundamentally redefine how we serve customers and enable our teams.
This executive will lead one of the company's most significant business transformation initiatives, reimagining customer support for an AI\-first future.
Success in this role will be measured not by how effectively you optimize today's support organization, but by how successfully you help define and build what customer support becomes in an AI\-enabled future.
This role requires deep experience leading large\-scale organizational change, influencing executive stakeholders, designing future\-state operating models, and driving enterprise\-wide adoption of new ways of working.
This is not a traditional Customer Support leadership role, nor is it a technical AI position. It is a transformation leadership role for an executive who has successfully modernized customer\-facing organizations at scale.
WHAT YOU'LL DO
- Partner with the SVP of Customer Support to define the long\-term vision and operating model for a modern, AI\-enabled global support organization.
- Lead enterprise\-scale transformation initiatives that redesign how customer support is structured, delivered, measured, and continuously improved.
- Design future\-state organizational models, workforce strategies, governance structures, and operating rhythms that enable scalable growth.
- Develop and execute a multi\-year AI transformation strategy focused on customer experience, employee productivity, operational excellence, and business outcomes.
- Serve as the executive leader responsible for aligning Product, Technology, Data, Operations, Legal, Security, and Customer Success around transformation priorities.
- Lead organizational change management across multiple business functions, ensuring leaders and employees successfully adopt new operating models and ways of working.
- Translate executive strategy into measurable transformation roadmaps with clear milestones, business outcomes, and accountability.
- Establish executive\-level success metrics that measure organizational effectiveness, customer outcomes, operational performance, AI adoption, and return on investment.
- Champion a culture of innovation, experimentation, continuous improvement, and responsible AI adoption.
- Represent Customer Support transformation strategy with executive leadership, Board\-level audiences, and external partners when appropriate.
WHAT YOU'LL NEED
- 15\+ years of progressive executive leadership experience leading large\-scale transformation within customer\-facing organizations.
- Proven success leading enterprise\-wide AI or digital transformation initiatives that fundamentally changed operating models, customer experiences, or workforce effectiveness (beyond chatbots, copilots, and basic automation).
- Deep experience in organizational design, operating model development workforce transformation, and change leadership.
- Demonstrated ability to influence executive stakeholders across multiple business functions without direct authority.
- Experience developing long\-term business strategy and translating strategic vision into enterprise execution.
- Strong executive presence with exceptional communication and storytelling skills.
- Track record partnering with Product, Engineering, Data, Technology, Finance, Legal, and Operations to deliver transformational business outcomes.
- Experience leading complex, cross\-functional initiatives with significant organizational impact.
- Ability to balance strategic thinking with disciplined execution in fast paced, evolving environments.
- Passion for leveraging AI and emerging technologies to transform customer experiences and organizational performance.
IT'S GREAT TO HAVE
- Experience leading transformation within Fortune 500 or other highly complex customer\-facing organizations.
- Experience modernizing customer support, service, operations, or customer experience organizations through AI and automation.
- Background in consulting or enterprise transformation functions.
- Experience leading customer experience transformation across multiple channels and geographies.
- Familiarity with contact center platforms and customer support technologies.
- Experience in SaaS, financial services, technology, travel, telecommunications, or similarly complex service organizations.
Compensation for this role will be determined based on a variety of factors, including relevant experience, qualifications, skills, geographic location, and market considerations. The anticipated compensation range for this position is \-
United States range \= $190,000\.00 \- $210,000\.00 USD; Canada range \= $190,000\.00 \- $210,000\.00 CAD.\- annually. In addition to base compensation, eligible employees may be offered other forms of compensation, such as bonuses, commissions, equity, or other incentive programs, where applicable. Compensation and benefits may vary by location and are subject to applicable legal, business, and market requirements.
WHAT’S IN IT FOR YOU:
- Purpose led company with a Values focused culture – Best Life, One Team, Growth Mindset
- Time Off – with our open PTO policy, we offer flexibility in how and when you take PTO!
- Days of Disconnect – once a quarter, we take a collective breather and enjoy a day off together around the globe. \#oneteam
- Parental \& Pawternity Leave – we offer leave for when your family grows by two feet or four paws!
- Best Life Perk – we are committed to meeting you wherever you are in your fitness journey with a quarterly reimbursement
- Medical/Dental/Vision coverage
- EAP – we get you help when you need it. Period.
- Premium Calm App – enjoy tranquility with a Calm App subscription for you and up to 4 dependents over the age of 16
- And more! – so many benefits we couldn’t even fit them all here!
At ABC Fitness, we don’t just build technology—we build communities and transform lives. Your work matters here, your growth is supported, and your voice is heard. We welcome diverse talent and encourage you to apply, even if you don’t meet every requirement.
ABC’S COMMITMENT TO DIVERSITY, EQUALITY, BELONGING AND INCLUSION:
ABC is an equal opportunity employer committed to diversity, equity, and inclusion. We strive to create a workplace where every employee, client, and partner feels valued, inspired, and empowered to reach their full potential. For us, inclusion isn’t just the right thing to do—it’s a business imperative. Learn more at abcfitness.com.
About ABC Fitness
ABC Fitness is the \#1 software provider for fitness businesses of any size, all around the world. Supporting 30K clubs, 650K coaches, 40M members, and processing more than $12B in payments every year, ABC Fitness provides scalable, data\-driven solutions to simplify club management and engage members and clients.
From personal trainers, boutique studios, and gyms, to international franchise health clubs, ABC Fitness will move your business forward through technology and industry insights. Innovation is at the center of everything we do, across ABC Glofox, ABC Ignite, ABC Trainerize, and ABC Evo. Let's make your fitness vision a seamless reality, together. Learn more at abcfitness.com
\#LI\-REMOTE
Salary Context
This $190K-$210K range is above the median for AI/ML Engineer roles in our dataset (median: $180K across 1841 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 3,708 AI roles we're tracking, AI/ML Engineer positions make up 70% of the market. At ABC Fitness, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills in Demand for This Role
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $218,750 based on 3,817 positions with disclosed compensation. This role's midpoint ($200K) sits 9% below the category median. Disclosed range: $190K to $210K.
Across all AI roles, the market median is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. For comparison, the highest-paying categories include AI Safety ($300,000) and Research Engineer ($280,000). By seniority level: Entry: $120,000; Mid: $200,000; Senior: $230,000; Director: $272,150; VP: $250,000.
ABC Fitness AI Hiring
ABC Fitness has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in Austin, TX, US. Compensation range: $210K - $210K.
Location Context
AI roles in Austin pay a median of $214,343 across 87 tracked positions.
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 3,708 open positions tracked in our dataset. By seniority: 102 entry-level, 1,705 mid-level, 1,469 senior, and 432 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (508 positions). The remaining 3,180 roles require on-site or hybrid attendance.
The market median for AI roles is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. Highest-paying categories: AI Safety ($300,000 median, 21 roles); Research Engineer ($280,000 median, 147 roles); AI Architect ($254,798 median, 67 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 3,708 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (2,605), Data Scientist (310), AI Software Engineer (259). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (102) are outnumbered by mid-level (1,705) and senior (1,469) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 432 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (508 positions), with 3,180 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $217,500. Top-quartile roles start at $272,100, and the 90th percentile reaches $325,000. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $300,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,890 postings), Aws (1,103 postings), Azure (877 postings), Rag (855 postings), Gcp (631 postings), Prompt Engineering (560 postings), Pytorch (545 postings), Claude (498 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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