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About This Role
Overview:
Application Deadline: Ongoing until positions are filled.
to apply, please visit the TP Careers site at https://www.tp.com/en\-us/careers. About TP
TP is a leading global provider of digital business services. We partner with the world's most prominent brands to optimize operations through advanced technology and sustainable business practices. With a global workforce of 500,000 across 300 languages, we are a force for good in our communities and for our clients. Benefits of working with TP include
TP offers benefits to you and your family. Eligible team members can take advantage of our comprehensive health benefits, which may include medical, vision, and dental.
We invest in and prioritize the mental health and well\-being of our team members by providing resources, including Employment Assistance Programs, space in the form of health and personal time off (HPT), and leave programs as eligible.
We offer benefits and tools to help our team members and their families for their financial future. This includes offering competitive 401(K) plans, life insurance, supplemental medical coverage, critical care insurance, pet insurance, FSA plans, and retailer discounts. Career Growth and Culture
At TP, we prioritize a culture of inclusion and diversity where every employee feels valued. We provide a platform for limitless career advancement, fostering an environment where ambition and high performance lead to long\-term success.
TP is committed to supporting those who serve. We welcome applications from active\-duty service members, veterans, and military families. Equal Opportunity Employer
TP is an Equal Opportunity Employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you require reasonable accommodation during the application process, please contact us at 877\-877\-3944 or contact us here. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non\-accommodation\-related requests. Purpose
The AI Product Manager is responsible for defining, building, and scaling AI\-powered products within TP’s global product ecosystem. This role partners closely with AI Engineering, Data Science, Architecture, UX, and Business Units to translate business needs into secure, scalable, and high\-impact AI solutions.
The AI Product Manager owns product discovery, roadmap execution, and performance optimization, ensuring AI products deliver measurable outcomes such as efficiency gains, automation, and experience improvements. The role focuses on strong human\-AI orchestration, responsible AI practices, and alignment with TP’s AI strategy. This position is 100% work at home. While this position will be working from home, this candidate must be located within the US and be eligible to work in the US without sponsorship.
Responsibilities:
Your Responsibilities* AI Product Strategy \& Roadmap Execution:
- Contribute to the definition and execution of AI product roadmaps across horizontal and vertical solutions.
- Translate business problems into clear AI product requirements, user stories, and success metrics.
- Prioritize features and initiatives based on impact, feasibility, and strategic alignment.
- End\-to\-End AI Product Lifecycle Ownership
- Own the product lifecycle from discovery and experimentation to launch, monitoring, and continuous improvement.
- Partner with engineering and data teams to validate AI feasibility, model selection, and orchestration approaches.
- Ensure products are scalable, secure, explainable, and production\-ready.
- Cross\-Functional Delivery
- Work closely with AI Engineering, Architecture, Data Science, UX, PMO, and Business Units to deliver AI solutions on time and at quality.
- Act as the primary product point of contact for assigned AI initiatives.
- Support adoption through clear documentation, enablement materials, and stakeholder alignment.
- AI Performance \& Product Business Impact
- Define and track product KPIs such as AHT reduction, automation rate, CSAT improvement, and cost efficiency.
- Analyze performance data and user feedback to inform product iterations and enhancements.
- Support ROI measurement and value realization for AI initiatives.
- Responsible \& Ethical AI
- Ensure AI products comply with security, data privacy, and responsible AI governance standards.
- Collaborate with Legal, Security, and Compliance teams during product design and deployment.
- Promote transparency, explainability, and human\-in\-the\-loop design principles.
- Market \& Technology Awareness
- Stay informed on AI trends (LLMs, NLP, multimodal models, MCP, orchestration) relevant to assigned products.
- Apply emerging AI capabilities pragmatically to enhance existing products and use cases.
- Other duties as requested within scope
Qualifications:
Qualifications* Educational Background
- Bachelor’s or master’s degree in computer science, Data Science, Engineering, Business Administration, or a related field.
- MBA, MSc in AI/ML, or equivalent executive program preferred.
- Experience
- 4–6 years of experience in Product Management, with at least 2–3 years working on AI or ML\-driven products.
- Hands\-on experience delivering AI solutions in enterprise or digital transformation environments.
- Strong experience working with cross\-functional technical and business teams in global organizations.
- Experience integrating AI technologies into enterprise ecosystems (e.g., Google, Azure AI Foundry, OpenAI, Genesys, ServiceNow, Salesforce).
- Demonstrated ability to drive AI product delivery and measurable business outcomes as an individual contributor.
- Technical Skills
- Solid understanding of AI concepts (LLMs, NLP, multimodal models, MCP, prompt engineering, model orchestration).
- Familiarity with AI platforms and MLOps environments (Azure, AWS, Vertex, etc.).
- Proficiency in Agile/Scrum methodologies and product tools (Jira, Aha!, Confluence).
- Strong analytical skills to interpret product performance data and user insights.
- Soft Skills
- Strong problem\-solver with a product\-first and data\-driven mindset.
- Excellent communication skills to collaborate with technical and business stakeholders.
- Ability to translate complex AI concepts into clear product requirements and outcomes.
- Curious, adaptable, and committed to continuous learning in AI and product management.
- Strong sense of ownership and accountability for product outcomes.
- Travel
- Must be open to occasional travel, domestic and international, 2\-3 times per year
Strengths* Process Excellence
- Collaboration
- Communication
- Emotional Intelligence
- Open\-Mindedness
- Critical Thinking
- Solution Orientation
- Entrepreneurship
- AI Proficiency
- Data Literacy
Be Part of Our TP Family
It is our mission to always provide an environment where our employees feel valued, inspired, and supported, so that they can bring their best selves to work every day. We believe that when employees are happy and healthy, they are more productive, creative, and engaged. We are committed to providing a workplace that is conducive to happiness and a healthy work\-life balance. We also believe that to be our best selves, we need to be surrounded by people who are positive, supportive, and challenging. We are committed to creating a culture of inclusion and diversity, where everyone feels welcome and valued.
Salary Context
This $90K-$110K 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 TP, 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 ($100K) sits 54% below the category median. Disclosed range: $90K to $110K.
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.
TP AI Hiring
TP has 1 open AI role right now. They're hiring across AI Product Manager. Based in Remote, US. Compensation range: $110K - $110K.
Remote Work Context
Remote AI roles pay a median of $185,334 across 717 positions. About 14% of all AI roles offer remote work.
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.
Frequently Asked Questions
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