Senior Product Manager | Applied AI

EPAM Systems; Colombia; On-site; COP 90,000,000 - 120,000,000; Full time

Benefits offered by this job

Learning culture

Health coverage

Stock options

Career growth

Job summary

EPAM Systems in Colombia is seeking a Senior Product Manager - Applied AI to own the vision, strategy, roadmap and end-to-end delivery of one or more AI-powered products. You will mentor other Product Managers while applying AI across the product lifecycle and collaborating with engineering, data, design and AI/ML teams.

You will define requirements for AI features, set evaluation criteria, prioritize backlog, and communicate benefits, limitations and risks to stakeholders.

Qualifications

• 5+ years in Product Management, with end-to-end ownership of one or more products including post-launch maintenance

Responsibilities

• Own vision, strategy, roadmap and end-to-end delivery of one or more products, including AI-powered ones
• Define requirements and use cases for AI features with clear acceptance criteria
• Identify AI opportunities to improve product, CX, and business outcomes
• Use AI tools across discovery, research, analysis, documentation, user stories, prototyping and planning
• Prioritize features, manage backlog and release cycles with AI-assisted support
• Lead cross-functional teams and communicate AI capabilities, limitations and risks to stakeholders
• Mentor other Product Managers to raise AI proficiency and practical skills

Skills

Product management

AI literacy

Stakeholder influence

Mentoring

Roadmapping

Job description

We are growing a product-management team that runs AI-powered products and applies AI across the whole product lifecycle. As a Senior Product Manager | Applied AI, you will own the vision, strategy, roadmap and delivery of one or more products — at least one of them AI-powered — while using AI day-to-day to work faster and make sharper decisions and mentoring other Product Managers as you do.

What "Applied AI" means here.

This is a product role, not an engineering role. We expect confident, practical command of AI as a product manager — using it across the lifecycle and shaping AI-powered features — not the ability to build, train or tune machine-learning models as an ML engineer or data scientist would.

Responsibilities

• Own the vision, strategy, roadmap and end-to-end delivery of one or more products, including at least one that is AI-powered
• Define requirements and use cases for AI features, treating them as probabilistic products — scoping data and use-case fit, and setting evaluation criteria, quality bars, guardrails and human-in-the-loop review as acceptance criteria
• Identify where AI can improve the product, the customer experience, internal processes or business outcomes — and build and size the case for it
• Use AI tools productively and with discipline across discovery, research synthesis, analysis, documentation, user stories, prototyping and planning — verifying outputs before relying on them
• Prioritise features, own the backlog and manage release cycles, using AI-assisted analysis to support (not replace) your decisions
• Manage the full product lifecycle, including the added considerations of AI features — model/version changes, quality drift and human oversight
• Work closely with engineering, data, design and AI/ML teams, translating product intent into requirements they can act on and their constraints into product decisions
• Set realistic expectations with clients and stakeholders about what AI can and cannot do, and communicate benefits, limitations and risks in plain language
• Mentor Product Managers and raise the team's practical AI capability by example

Requirements

• 5+ years in Product Management, having managed one or more products end to end, including post-launch maintenance and support
• Launched more than one product (or key capability) to market, with at least one experience delivering or materially improving an AI-powered product or feature (e.g. GenAI, ML, recommendations, search or automation)
• Solid ownership of product strategy, vision and roadmap; market analysis and product visioning — including identifying and justifying where AI adds value
• Experience owning backlogs, cross-product dependencies and release cycles, and managing product lifecycle and support models
• Familiarity with product profitability, competitive positioning and pricing — including the cost, latency and quality trade-offs that shape AI-feature economics
• Expertise across multiple (3+) business domains, able to act as a business-domain SME
• Working AI literacy — what current AI (including GenAI/LLMs) can and cannot do reliably, common patterns and typical failure modes — enough to make sound product decisions and hold credible conversations with technical teams. Deep model-building knowledge is not required
• Able to influence stakeholders up to and including VP level, and to lead all critical aspects of a product launch
• Able to lead a team of Product Owners and/or Product Managers across a product line or family, guiding them through the full lifecycle
• Raises the team's practical AI proficiency — sharing verified ways of working and coaching on requirements and evaluation criteria for AI features
• Practical, daily use of AI across research, discovery, analysis, documentation, user stories, prototyping and planning — with verification of outputs
• Ability to identify and justify AI opportunities in products, processes, CX and business outcomes
• Working AI literacy — concepts, terminology, capabilities and limitations at PM depth
• Experience defining requirements and use cases for AI features, including evaluation criteria, quality bars, guardrails and human oversight
• Ability to evaluate AI outputs for quality, accuracy, risk, limitations and user impact
• Responsible-AI awareness — privacy, bias, security, transparency and human oversight
• Ability to work effectively with engineering, data, design and AI/ML teams
• Adaptability and continuous learning as AI tools and capabilities evolve

Nice to have

• Hands-on prototyping with AI builder tools to near-production fidelity
• Building PM agents / multi-step automations across research, backlog, analytics and comms
• Understanding of AI-feature economics (cost, latency, unit economics) and model lifecycle (drift, versioning, vendor change)
• Familiarity with AI regulation (e.g., EU AI Act) and relevant sector rules
• Prior experience taking an AI-powered product to production at scale

We offer

• Learning Culture - We want you to be the best version of yourself, that is why we offer unlimited access to learning platforms, a wide range of internal courses, and all the knowledge you need to grow professionally
• Health Coverage - Health and wellness are important, that is why we have you and up to four family members in a premiere health plan. We have a couple of options, so you can choose what is best for you and your family
• Visual Benefit - Seeing your work for us would be a sight for sore eyes. We want your vision to always be at 100% which is why we offer up to $200.000 COP for any visual health expenses
• Life Insurance Plan - We have partnered with MetLife to offer a full-coverage Ife insurance plan. So, your family is covered, even if you are gone.
• Medical Leave Coverage - We are one of the few companies that cover 100% of your medical leave, for up to 90 days. Your health is the most important thing to us
• Professional Growth Opportunities - We have designed a highly competitive and complete development process, where you will have all the tools to get where you have always wanted to be, personally and professionally
• Stock Option Purchase Plan - As an EPAMer you can be more than just an employee, you will also have the opportunity to purchase stock at a reduced price and become a part owner of our organization
• Additional Income - Besides your regular salary, you will also have the chance to earn extra income by referring talent, being a technical interviewer, and many more ways
• Community Benefit - You will be part of a worldwide community of over 50,000 employees, where you can learn, challenge yourself, stand out, and share your knowledge and experience with multicultural teams!

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.

We accept CVs in English only.

Please note that even though you are applying for this position, you may be offered other projects to join within EPAM.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.