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About This Role
DescriptionJoin the Team Powering the World’s Most Driven Athletes and Coaches
At TrainHeroic, we’re on a mission to empower coaches and athletes to be their best. We build powerful, intuitive training software used by performance\-driven teams and individuals; from pro sports organizations to high school powerlifting programs and garage gyms around the world. Our platform blends cutting\-edge tech with deep coaching insight, helping users push past limits, track progress, and build championship habits.
If you’re passionate about sport, human performance, and creating tech that makes a real\-world impact, you’ll thrive here.
As part of the Peaksware portfolio, consisting of brands like TrainingPeaks, MakeMusic, Alfred Music, TrainHeroic, we’re united by a shared mission: to create software that transforms deliberate practice into performance. At Peaksware, we don’t just build products. We build communities of motivated people chasing progress, including athletes, musicians, performers, and the teams that support them.
The Role
As Product Manager you will run you will own one or more cross\-functional, autonomous product development teams focused on a clear business mission and will be responsible for the successful execution of a product vision by delivering value to our customers. As a product leader, you will be responsible for working with executive leadership and the other team leads to research, define and then execute a cohesive solution within the broader product strategy and company vision. Your firsthand experience in the weight room — and ideally on the coaching side of the platform — will be your sharpest tool for making the right product decisions.
You’ll work closely with engineering, design, data, and business stakeholders to research, define, and ship features that solve real training problems. You’ll own the roadmap for your area, drive alignment with company strategy, and be the final decision\-maker on what gets built and how it ships.
We’re looking for someone who lives and breathes strength training, understands programming and periodization from personal experience, and can translate that knowledge into products that coaches trust.
Core Functions:
- Own the product roadmap for your team, aligning to company strategy and driving measurable business outcomes.
- Be the final decision\-maker on feature development, scope, and quality. Delegate QA within the team and manage a QA strategy based on company best practices and engineering principles.
- Leverage your coaching and training experience to evaluate feature requests, validate workout programming workflows, and ensure the product serves real\-world coaching needs.
- Represent the coach’s perspective in product decisions, drawing on personal experience with periodization, programming progressions, communication and community development, and athlete management.
- Facilitate the exchange of ideas across engineering, design, data, and business teams. Bring unbiased input to drive alignment and gain stakeholder buy\-in.
- Work with the data team to define, track, and act on the right metrics. Use a combination of qualitative and quantitative methods to measure success.
- Maintain a clear picture of the competitive landscape — know the dynamics, identify new entrants, and understand differentiation at a strategy level.
- Understand TrainHeroic’s core customers (coaches, athletes, teams, organizations) and how the platform addresses their distinct needs. Use this understanding to define growth strategy.
- Advocate for new initiatives that increase our value proposition or expand market reach, providing data\-backed arguments for consideration among peers and leadership.
- Utilize business acumen, with proficiency in identifying, tracking and acting upon metrics, in collaboration with stakeholders in your area of expertise.
- Expertly facilitate the exchange of ideas between cross\-functional teams and bring unbiased input to help problem solve to gain buy\-in with stakeholders and bring impactful projects to the roadmap.
- Advocate for new projects that could increase our value proposition or market reach, and provide unbiased supporting arguments for consideration among peers and leadership.
- Have a clear picture of the extended competition, know the dynamics and identify the new entrants. Know the differentiation at a strategy level.
- Understand the core customers and market and how the application addresses differing needs; use this understanding to define a clear growth strategy.
The work characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Requirements Required Qualifications:
- 2\+ years of Product Management experience with a proven record of prioritizing and successfully launching impactful products or platforms.
- Ability to inspire, motivate, and lead a cross\-functional team; building strong relationships is critical to success.
- Comfortable applying a combination of qualitative and quantitative methods to define success.
- Insatiable curiosity to learn new domains, keep up with industry innovation, and constantly ask ‘why.’
- Excellent written and verbal communication skills; timely communication with clear expectations.
- 2\+ years of Product Management experience with a track record of prioritizing and launching impactful products.
- Active background in strength and conditioning — either as a coach or as a serious practitioner with deep knowledge of programming, periodization, and training principles.
- Direct experience using TrainHeroic as a coach, strongly preferred. You should understand the platform from the practitioner’s perspective, not just the product side.
- Ability to inspire, motivate, and lead a cross\-functional team. Building strong relationships is critical to success.
- Excellent written and verbal communication. You set clear expectations and communicate proactively.
- Experience owning a product roadmap with successful strategic execution.
- Insatiable curiosity — you learn new domains quickly, stay current with industry trends, and constantly ask “why.”
- Organizational and leadership experience.
- Great people skills with the ability to motivate teams through vision and communication.
- Experience at the strategic level, owning roadmaps with successful execution.
*Degrees are not required and we value all forms of continued education including traditional four\-year degrees, post\-graduate degrees, associates degrees, bootcamps, online training, professional certifications, self\-teaching and more.*
Desired Qualifications:
- Experience coaching athletes on the TrainHeroic platform (programming, team management, marketplace).
- Knowledge of multiple functional areas: Engineering, UX/UI, Sales, Customer Support, Finance, or Marketing.
- Experience in the fitness technology space or with coach\-facing SaaS products.
- Familiarity with data tools (analytics platforms, SQL, or similar) for self\-serve product insights.
*Don’t meet every single requirement? Don’t worry. We still want to hear from you and encourage you to apply.*
Benefits Compensation:
We are committed to fair and equitable compensation practices. The annual salary range for this role in Colorado is $80,317\-$133,861\. Final compensation for this role will be determined by various factors such as a candidate’s relevant work experience, skills, and certifications. Each role at Peaksware has a defined compensation band based on market data and company stage. We typically hire at the lower to mid\-point of the range, with the top end reserved for internal growth and exceptional performance. Actual pay depends on factors like experience, technical depth, geographic location, and alignment with internal peers. This role is eligible for variable compensation including bonus.
Benefits and Perks:
*Health*
- We offer comprehensive health benefits including medical, dental, and vision insurance; health savings and flexible spending accounts, paid parental leave; and an employee assistance program.
- Additional coverage options including Accident \& Critical Illness insurance as well as Hospital Indemnity are also available.
*Disability and Life*
- We offer several company paid options including Short Term Disability, Long Term Disability, as well as Basic Life Insurance and AD\&D.
- Additional coverage options including Employee\-paid Supplemental Life Insurance for Employee, Spouse, and/or Child are also available.
*Additional*
- We offer a 401(K) including a company match.
- We observe 12 paid holidays annually and provide discretionary Flexible Time Off. Employees also receive free access to our products, corporate discounts, and professional development resources.
- Access to the Performance and Recovery Center (PARC), our on\-site fitness facility, as well as employee only access to on\-site locker rooms and showers.
- Employee only access to secure, indoor bike storage and access to e\-bikes exclusively to Peaksware employees.
- Access to our onsite Music and Podcast Studio.
If you require a reasonable accommodation to review our website or to apply online, please fill out our Candidate Accommodations Request Form .
*Peaksware adheres to the FLSA Exemption Threshold for minimum wage in all states.*
Work Environment
This job operates in a professional office environment that is well\-lighted, heated, and/or air\-conditioned with adequate ventilation and a noise level that is usually moderate. This role routinely uses standard office equipment such as computers, phones, photocopiers and filing cabinets.
All employees must comply with all safety policies, practices and procedures. Report all unsafe activities to your manager and/or Human Resources.
Physical Demands
While performing the duties of this job, the employee is regularly required to sit and move about the facility; use hands to handle, or feel; talk by expressing ideas by means of the spoken word; and hear by perceiving the nature of sounds. The employee is occasionally required to stand, walk, and reach with hands and arms. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
*To view the Peaksware Privacy Policy,* click *. By submitting an application, you acknowledge and agree to the Peaksware Privacy Policy.*
Recruiting Agency Notice: We do not accept agency resumes or assistance. Please do not forward resumes to our jobs alias or our employees. We are not responsible for any fees related to unsolicited resumes.
Salary Context
This $80K-$133K range is in the lower quartile for AI Product Manager roles in our dataset (median: $174K across 475 roles with salary data).
View full AI Product Manager salary data →Role Details
About This Role
AI Product Managers define what AI features get built and why. They translate business problems into ML-solvable tasks, work with engineering to scope model requirements, and own the metrics that determine if an AI feature is working. The role requires a rare combination of technical fluency and product instinct.
Unlike traditional product management, AI PM work involves managing uncertainty at a fundamental level. Your model might work 90% of the time. What happens the other 10%? What's the user experience when the AI is wrong? How do you measure 'good enough' for a probabilistic system? These questions don't have easy answers, and the AI PM is the person responsible for finding them.
Across the 26,159 AI roles we're tracking, AI Product Manager positions make up 2% of the market. At Peaksware, this role fits into their broader AI and engineering organization.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
What the Work Looks Like
A typical week includes: reviewing model evaluation results with the ML team, defining success metrics for a new AI feature, conducting user research on how customers respond to AI-generated outputs, writing product requirements that include accuracy thresholds and fallback behaviors, and presenting the AI roadmap to leadership. You're the translator between technical capability and business value.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
Skills Required
Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.
The differentiator is AI-specific product thinking: knowing when to use ML vs. heuristics, understanding the cost of training data collection, designing graceful degradation for model failures, and building products that improve with usage data. Experience with AI safety, bias mitigation, and responsible AI deployment is increasingly important.
Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
Compensation Benchmarks
AI Product Manager roles pay a median of $204,600 based on 532 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $131,300. This role's midpoint ($107K) sits 48% below the category median. Disclosed range: $80K to $133K.
Across all AI roles, the market median is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Architect ($292,900). By seniority level: Entry: $76,880; Mid: $131,300; Senior: $227,400; Director: $244,288; VP: $234,620.
Peaksware AI Hiring
Peaksware has 1 open AI role right now. They're hiring across AI Product Manager. Based in Louisville, CO, US. Compensation range: $133K - $133K.
Location Context
Across all AI roles, 7% (1,863 positions) offer remote work, while 24,200 require on-site attendance. Top AI hiring metros: Los Angeles (1,695 roles, $178,000 median); New York (1,670 roles, $200,000 median); San Francisco (1,059 roles, $244,000 median).
Career Path
Common paths into AI Product Manager roles include Product Manager, Data Analyst, Technical Program Manager.
From here, career progression typically leads toward Director of AI Product, VP Product, Head of AI.
The most effective path is PM experience plus self-directed AI education. Take Andrew Ng's courses, build a small ML project, and learn enough Python to read model evaluation code. The goal isn't to become an ML engineer. It's to have credibility in technical conversations and to understand what's possible, what's hard, and what's a bad idea.
What to Expect in Interviews
AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.
When evaluating opportunities: Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
AI Hiring Overview
The AI job market has 26,159 open positions tracked in our dataset. By seniority: 2,416 entry-level, 16,247 mid-level, 5,153 senior, and 2,343 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (1,863 positions). The remaining 24,200 roles require on-site or hybrid attendance.
The market median for AI roles is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. Highest-paying categories: AI Engineering Manager ($293,500 median, 28 roles); AI Architect ($292,900 median, 108 roles); AI Safety ($274,200 median, 19 roles).
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
The AI Job Market Today
The AI job market spans 26,159 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (23,752), AI Software Engineer (598), AI Product Manager (594). 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 (2,416) are outnumbered by mid-level (16,247) and senior (5,153) 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 2,343 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (1,863 positions), with 24,200 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 $184,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $309,400. 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 Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $122,200. 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: Rag (16,749 postings), Aws (8,932 postings), Rust (7,660 postings), Python (3,815 postings), Azure (2,678 postings), Gcp (2,247 postings), Prompt Engineering (1,469 postings), Openai (1,269 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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