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About This Role
Location: , CA, United States
Salary Range: $132,800 \- $166,000 a year
Date Posted: Aug 14, 2026
Employ is transforming how hiring gets done. With our three ATS solutions \- Jobvite, Lever, and JazzHR \- plus cutting\-edge AI Companions, we free recruiters from admin work and give them more time for what matters: connecting with people. More than 23,000 global customers rely on Employ to make millions of candidate connections each year, helping them hire smarter, faster, and at scale. From growing startups to the world’s most recognized brands, we’re redefining what’s possible in talent acquisition.
We’re a fast\-moving, remote\-first team of builders and innovators who live our people\-first philosophy every day. We back it up with flexible work scheduling and paid time off, comprehensive benefits, and career development opportunities that help you thrive. At Employ, you won’t just grow your career \- you’ll help millions of others grow theirs.
Come join our team where we have each other’s backs, champion our customers, hold ourselves accountable, and shape what’s next in talent acquisition.
*Candidate Safety Notice*
*Please note, employ takes candidate safety seriously. Employ recruiters and employees communicate only via official* *@employinc.com* *email addresses. We will never request payment or personal financial information during the hiring process. If you receive suspicious outreach claiming to be from Employ, please report it to* *[email protected]**.*
### About the Opportunity – AI Product Manager:
Employ is seeking an AI Product Manager to lead the strategy, development, and evolution of AI\-powered capabilities across our recruiting platform. This role will shape how artificial intelligence enhances recruiter and hiring manager workflows, helping customers work more efficiently while delivering trusted, responsible, and intuitive AI experiences.
You will define and deliver AI\-powered product capabilities across Employ's portfolio—including Lever, Jobvite, and JazzHR—used by more than 23,000 organizations ranging from SMB to enterprise. Working closely with engineering, design, data science, and go\-to\-market teams, you will identify opportunities where AI can meaningfully improve customer outcomes and transform how recruiters interact with our products.
This is a highly strategic and cross\-functional role responsible for bringing AI innovation into the recruiting experience while balancing customer needs, business objectives, technical feasibility, and responsible AI practices.
### About the Team:
You'll be part of a collaborative, high\-energy team that's transforming how AI powers talent acquisition. We believe AI should enhance both the customer experience and the way we build products, creating an environment where experimentation, cross\-functional partnership, and continuous learning are part of everyday work. With a broad product scope and access to best\-in\-class AI tools, you'll have the opportunity to make a visible impact across the business.
### What You’ll Do:
- You will own the product strategy, roadmap, and execution for AI\-powered capabilities across the Employ platform.
- Your scope includes identifying opportunities where AI can improve customer workflows, defining product vision, prioritizing investments, and delivering innovative experiences that create measurable value for customers and the business.
Key areas of ownership include:
- AI\-powered recruiter experiences
- AI assistants, agents, and conversational interactions
- Intelligent workflow automation
- Candidate and recruiter recommendations
- AI\-assisted communication and content generation
- AI insights and decision support
- AI\-powered recruiter experiences
- AI assistants, agents, and conversational interactions
- Intelligent workflow automation
- AI\-assisted communication and content generation
- AI insights and decision support
- Responsible AI, transparency, and explainability
- AI adoption, engagement, and product effectiveness
- Defining and driving the product strategy for AI capabilities across Employ's portfolio of recruiting solutions.
- Identifying opportunities where AI can simplify complex workflows, improve productivity, and create differentiated customer experiences.
- Leading the evolution of Employ's AI capabilities, including assistants, agentic workflows, conversational experiences, intelligent recommendations, and automation.
- Partnering with engineering and data science teams to evaluate emerging AI technologies and translate technical capabilities into valuable customer solutions.
- Working closely with design to create intuitive, trusted, and user\-centered AI experiences.
- Establishing product success metrics and using customer feedback, experimentation, analytics, and market research to continuously improve AI products.
- Collaborating with legal, privacy, and compliance teams to ensure responsible AI development and adherence to evolving regulatory requirements.
- Balancing rapid innovation with platform reliability, security, scalability, and long\-term maintainability.
- Communicating product vision, priorities, and outcomes to executive leadership and cross\-functional stakeholders.
- Supporting product launches, customer adoption, and go\-to\-market activities for AI capabilities.
- In this role, you will partner closely with engineering, design, data science, customer success, sales, marketing, legal, and compliance teams to deliver AI\-powered experiences that improve recruiter productivity and customer outcomes.
### What You Bring:
Required:
- 5–8\+ years of product management experience delivering customer\-facing software products.
- Experience building and scaling B2B SaaS products.
- Demonstrated experience delivering AI\-powered products or partnering closely with AI, machine learning, or data science teams.
- Strong product strategy skills, including roadmap development, prioritization, and outcome\-driven decision making.
- Experience translating emerging technologies into intuitive customer experiences.
- Strong analytical and problem\-solving skills with the ability to evaluate tradeoffs and make data\-informed decisions.
- Experience leading complex cross\-functional initiatives across engineering, design, and business teams.
- Excellent communication and stakeholder management skills, including experience presenting to senior leadership.
- Ability to operate effectively in a fast\-paced, results\-oriented environment.
Preferred:
- Experience in recruiting, HR technology, or enterprise workflow software.
- Experience launching generative AI, conversational AI, copilots, agents, or other AI\-powered product experiences.
- Familiarity with large language models, machine learning concepts, prompt engineering, or AI evaluation methodologies.
- Experience working with responsible AI principles, explainability, fairness, privacy, and emerging AI regulations.
- Experience balancing innovation with enterprise\-scale reliability, security, and customer trust.
Impact:
This role will play a central role in shaping Employ's AI strategy and delivering innovative experiences that help thousands of organizations hire more effectively.
By bringing AI thoughtfully into recruiter workflows, you will help customers automate repetitive work, improve decision making, increase productivity, and create more intuitive hiring experiences while ensuring AI remains transparent, responsible, and trusted.
*We believe clarity builds trust, so we share the national pay range for this role:* *$**132,800 \- 166,000* *per* *year (CAD base salary).* *This range reflects the scope of the role across Canada and is informed by market data, internal equity, and the responsibilities of the position.*
*Your final offer will consider your unique skills, experience, and location. In addition to base salary, total compensation may include performance bonuses, equity, and a comprehensive benefits package.*
*If you’d like more details about how compensation is determined or how benefits factor in, please get in touch. We’re committed to fair, transparent pay and want to make sure you have the information you need.*
*Employ is an Equal Opportunity employer.*
*Employ is an EVerify employer.*
Recruitment Fraud Notice:
*Employ takes candidate safety seriously. Please be aware that* *Employ recruiters and interviewers will only communicate with candidates using official email addresses ending in @employinc.com.*
*We will* *never* *ask for payment, banking information, or personal financial details at any stage of the hiring process, and we do not conduct interviews via messaging apps or social media platforms.*
*If you receive communication that appears suspicious or claims to represent Employ but does not come from an @employinc.com email address,* *do not respond or continue engaging with the sender. Please report the message to* *[email protected]****.*
Salary Context
This $132K-$166K range is in the lower quartile for AI Product Manager roles in our dataset (median: $185K across 167 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 4,317 AI roles we're tracking, AI Product Manager positions make up 4% of the market. At KORE Power, 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 $217,100 based on 471 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $194,400. This role's midpoint ($149K) sits 31% below the category median. Disclosed range: $132K to $166K.
Across all AI roles, the market median is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. For comparison, the highest-paying categories include AI Safety ($287,500) and Research Engineer ($272,100). By seniority level: Entry: $110,000; Mid: $194,400; Senior: $227,400; Director: $274,554; VP: $241,000.
KORE Power AI Hiring
KORE Power has 1 open AI role right now. They're hiring across AI Product Manager. Based in CA, US. Compensation range: $166K - $166K.
Location Context
Across all AI roles, 15% (635 positions) offer remote work, while 3,657 require on-site attendance. Top AI hiring metros: New York (1,650 roles, $220,000 median); San Francisco (1,335 roles, $265,000 median); Los Angeles (708 roles, $214,112 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 4,317 open positions tracked in our dataset. By seniority: 138 entry-level, 2,071 mid-level, 1,655 senior, and 453 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (635 positions). The remaining 3,657 roles require on-site or hybrid attendance.
The market median for AI roles is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. Highest-paying categories: AI Safety ($287,500 median, 34 roles); Research Engineer ($272,100 median, 227 roles); AI Engineering Manager ($244,000 median, 23 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 4,317 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (3,004), Data Scientist (345), AI Software Engineer (309). 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 (138) are outnumbered by mid-level (2,071) and senior (1,655) 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 453 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (635 positions), with 3,657 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 $215,000. Top-quartile roles start at $266,300, and the 90th percentile reaches $320,790. 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 $287,500 median, while Prompt Engineer roles sit at $145,000. 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 (2,249 postings), Aws (1,224 postings), Azure (938 postings), Rag (915 postings), Gcp (660 postings), Pytorch (640 postings), Prompt Engineering (624 postings), Kubernetes (559 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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