Interested in this AI Product Manager role at Expleo Group?
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Overview:
Location: Remote (Preferred locations Minneapolis, MN or Milwaukee, WI)
Employment Type: Full\-Time
Are you passionate about building AI\-powered products that transform how businesses operate? Trissential is partnering with an innovative client to bring on a Principal AI Product Manager who thrives at the intersection of product strategy, artificial intelligence, technical innovation, and business transformation. This is an opportunity to lead high\-impact AI initiatives, shape product vision, influence executive stakeholders, and drive scalable solutions that deliver measurable business value. What's in It for You?* Lead strategic AI initiatives that influence enterprise\-wide transformation and innovation
- Own product direction from concept through execution and adoption
- Collaborate with senior executives, architects, engineers, UX teams, and business leaders
- Work hands\-on with Generative AI, automation platforms, intelligent workflows, and emerging technologies
- Shape product strategies that solve complex business challenges and create measurable outcomes
- Operate in a highly visible leadership role with significant influence on organizational strategy
- Enjoy a flexible, fully remote work environment that supports innovation and continuous learning
Your Role \& Responsibilities* Define and own product vision, strategy, and roadmaps for AI\-powered solutions and digital transformation initiatives
- Partner with executive stakeholders to identify strategic opportunities where AI can deliver meaningful business impact
- Lead discovery sessions, workshops, and advisory engagements to uncover business challenges, opportunities, and product requirements
- Drive complex process transformation efforts while ensuring alignment between business objectives and technical capabilities
- Evaluate AI technologies, platforms, and solution architectures to recommend scalable, value\-driven approaches
- Shape solution designs, prototypes, pilots, and proof\-of\-concepts in partnership with engineering and architecture teams
- Translate strategic business goals into product requirements, priorities, and delivery plans
- Lead prioritization of AI product investments using business value, technical feasibility, risk, and organizational readiness considerations
- Guide cross\-functional teams through product delivery, implementation, adoption, and continuous improvement
- Establish success metrics, KPIs, and measurement frameworks to validate outcomes and ROI
- Provide executive\-level communication, thought leadership, and strategic recommendations regarding AI opportunities and investments
- Mentor stakeholders and contribute to the development of AI product management best practices across the organization
Skills \& Experience You Should Possess
- 10\+ years of experience in product management, business analysis, consulting, digital transformation, or related leadership roles
- Proven experience owning and driving product strategy, product roadmaps, and business outcomes for complex technology initiatives
- Deep understanding of AI technologies including Generative AI, LLMs, intelligent automation, document intelligence, conversational AI, and workflow orchestration
- Strong technical acumen with the ability to collaborate effectively with engineers, architects, and data teams
- Demonstrated success leading enterprise\-scale process transformation and technology modernization initiatives
- Experience shaping business cases, product investment strategies, and executive\-level recommendations
- Ability to evaluate tradeoffs across business value, customer impact, technical complexity, and organizational readiness
- Strong facilitation, stakeholder engagement, presentation, and executive communication skills
- Ability to operate independently while providing Principal\-level leadership and strategic guidance
- Excellent documentation, product storytelling, and roadmap communication skills
Bonus Points If You Have
- Experience serving as a Principal Product Manager, Product Director, AI Product Lead, or similar senior leadership role
- Experience designing or launching AI\-enabled products from concept through production deployment
- Familiarity with AI solution architecture, machine learning lifecycle concepts, and modern cloud platforms
- Experience working within highly regulated or complex enterprise environments
- Expertise with Agile product management frameworks including Scrum, Kanban, SAFe, or Lean Product methodologies
- Exposure to multi\-agent AI systems, advanced automation platforms, and intelligent orchestration frameworks
- Consulting or strategic advisory experience supporting executive leadership teams
Education \& Certifications You Need
- Bachelor's degree in Business, Information Systems, Computer Science, Engineering, or a related field
- Advanced degree (MBA, MS, or similar) is preferred
- Product Management, Agile, Lean, Six Sigma, Business Analysis, AI, or Cloud certifications are highly desirable
What We Offer
At Trissential, we connect top talent with meaningful opportunities that drive innovation and growth. By joining our client's team, you'll play a leadership role in defining and delivering the next generation of AI\-powered solutions.
- Competitive Compensation – You choose the model that works best for you, both with company\-sponsored benefits! $120,000–$150,000 annually or $65–$80 per hour, depending on your skills, experience, and location. Final compensation is determined based on skill alignment, years of experience, and fair, market\-based rates by geography.
- Comprehensive Benefits for you and your dependents – Extensive Medical Plans, Dental, Vision, HSA with company contribution, company sponsored Life Insurance and Short / Long term disability insurance, a host of voluntary plans including legal, hospital, accident, pet wellness, and 401k with matching
- Paid Holidays and Paid Time Off
- Career Development and Advancement – Expleo is a global company in 29 Countries worldwide with a high focus on development
- Strong Team Culture – Collaborate with experienced professionals who value precision, performance, and teamwork
Important: This role is only open to candidates authorized to work in the United States.
Ready to be part of something exciting?
If you're ready to lead AI product strategy, shape transformative solutions, influence executive decision\-making, and drive meaningful business outcomes, apply today and take the next step in your career as a Principal AI Product Manager with Trissential.
Salary Context
This $120K-$150K 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 Expleo Group, 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 in Demand for This Role
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. Senior-level AI roles across all categories have a median of $227,400. This role's midpoint ($135K) sits 38% below the category median. Disclosed range: $120K to $150K.
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.
Expleo Group AI Hiring
Expleo Group has 1 open AI role right now. They're hiring across AI Product Manager. Based in Minneapolis, MN, US. Compensation range: $150K - $150K.
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.
Frequently Asked Questions
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