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About This Role
About Quilt Software
Ever wondered how your favorite local shops compete with the big guys? That’s where we come in. We’re Quilt Software, providing Main Street's unsung heroes – from quirky cheese shops to family\-run jewelry stores – with the tools they need to compete. Last year, we helped 14,000\+ shops make over $2 billion in sales with our family of industry\-specific software solutions.
If you get a kick out of supporting local businesses, love great software, and want to be part of a company that’s powering Main Street, we’d love to chat. Come join us in our quest to keep local retail not just alive, but thriving!
About the RoleWe're looking for a Product Manager to own and drive key initiatives at the intersection of AI and our retail platform. You'll work directly with engineering, design, customers, and business stakeholders to identify opportunities, define product strategy, and deliver solutions that create measurable value for retailers. This role is ideal for someone who enjoys operating with significant autonomy, thrives in small teams, and is excited about applying AI to real\-world business problems.
What You'll Do
- Own product strategy, roadmap, and execution for critical areas of a retail POS platform.
- Partner closely with engineering and design to deliver high\-quality customer experiences.
- Engage directly with customers to understand workflows, pain points, and emerging opportunities.
- Translate business objectives and customer needs into clear product requirements and priorities.
- Use data, experimentation, and customer feedback to guide decision\-making.
- Identify and champion opportunities to incorporate AI capabilities into products and internal workflows.
- Lead product discovery, define success metrics, and measure outcomes after launch.
- Coordinate cross\-functional efforts while maintaining a bias toward action and delivery.
What We're Looking ForRequired
- 3\+ years of Product Management experience shipping software products.
- Demonstrated ownership of products or major product areas from concept through launch.
- Strong collaboration skills with engineering, design, and business stakeholders.
- Experience gathering customer feedback and turning insights into product decisions.
- Excellent written and verbal communication skills.
- Strong analytical and problem\-solving abilities.
- Ability to work independently and make sound product decisions with limited oversight.
Preferred
- Experience with retail technology, point\-of\-sale systems, payments, commerce, inventory, or related domains.
- Experience building or integrating AI\-powered features and workflows.
- Familiarity with modern AI tools, LLMs, prompt engineering, AI agents, or generative AI product development.
- Experience in B2B SaaS environments.
- Technical background or ability to work effectively with highly technical engineering teams.
- You build things with AI for fun.
Success in This Role
In your first year, you'll:
- Develop a deep understanding of retailer workflows and customer needs.
- Deliver meaningful product improvements that drive adoption and business impact.
- Help shape the company's AI strategy and identify practical applications for AI across the platform.
- Become a trusted partner to engineering and business leadership.
- Operate as a key decision\-maker within a highly autonomous product organization.
Why This Role* Small, highly collaborative team.
- Significant ownership and influence over product direction.
- Opportunity to work at the intersection of retail technology and AI.
- Ability to move quickly, ship meaningful work, and see direct customer impact.
What we Offer* Opportunity to build software that powers real\-world commerce at scale.
- Competitive salary and equity package.
- Comprehensive benefits (health, dental, vision, 401k, etc.).
- Strong emphasis on engineering quality and career growth.
Salary: 90\-130k Base \+ Bonus
Location: Hybrid, based in Provo, Utah 2\-3 days in the Office
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Notice \- Employment Scams
Communication from our team regarding job opportunities will only be made by a Quilt Software employee with an @quiltsoftware.com email address. We do not conduct interviews over email or chat platforms, and we will never ask you to provide personal or financial information such as your mailing address, social security number, credit card numbers, or banking information. If you believe a scammer is contacting you, please mark the communication as "phishing" or “spam” and do not respond.
Salary Context
This $90K-$130K range is in the lower quartile for AI Product Manager roles in our dataset (median: $188K across 140 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 3,708 AI roles we're tracking, AI Product Manager positions make up 5% of the market. At Quilt Software, 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 $216,175 based on 270 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $200,000. This role's midpoint ($110K) sits 49% below the category median. Disclosed range: $90K to $130K.
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.
Quilt Software AI Hiring
Quilt Software has 1 open AI role right now. They're hiring across AI Product Manager. Based in Provo, UT, US. Compensation range: $130K - $130K.
Location Context
Across all AI roles, 14% (508 positions) offer remote work, while 3,180 require on-site attendance. Top AI hiring metros: New York (1,045 roles, $220,000 median); San Francisco (810 roles, $277,088 median); Los Angeles (397 roles, $215,000 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 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).
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 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.
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