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Location
Remote (Poland)
Seniority
Senior · 5+ years exp
Employment
Full-Time

First seen by Alion on Nov 2, 2026.

Overview
Company
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Profile match
EPAM Systems Poland is the Polish arm of EPAM Systems, the US-headquartered software engineering and IT services company. It delivers software development, testing, cloud, data and security engineering for client companies from offices in Kraków, Warsaw, Katowice, Wrocław, Poznań and Łódź. Its openings include security architects, Salesforce testers, data governance consultants and cloud specialists, advertised on boards such as Just Join IT.

How do you turn a quarter-end close that still runs on spreadsheets into something an agent handles overnight? Help a contact centre answer faster and better without adding headcount? Turn a 200-page regulatory change into a plain-English checklist a compliance team can act on by Monday morning? Get an AI system to read a backlog of contracts and surface only what actually matters?

That’s the work. EPAM’s Applied AI exists to put frontier AI to work inside real businesses - sitting with clients, from the CTO to the people doing the actual job, and turning ambitious, often fuzzy goals into AI solutions that ship and create real value. The work runs from helping a workforce use AI well, to rebuilding a whole process around agents, to launching brand-new AI-native products.

We’re looking for an Applied AI Product Manager (Forward Deployed) to own that journey - from the first messy conversation to a live system that earns or saves real money. It’s hands-on and client-facing: you’re the client’s main point of contact, you decide what gets built and why, you run delivery through to a working system, and you prototype solutions yourself rather than handing every idea off. You hold the why and the what; engineering, data and architecture build alongside you for production scale.

Responsibilities

  • Build, don’t just brief. Prototype working AI solutions and demos yourself, with modern tooling, to prove the idea in pre-sales and get to value fast
  • Own the client relationship. Be the day-to-day partner and point of contact, earning trust across the organization and staying straight about trade-offs
  • Shape what we build and why. Turn vague, high-stakes goals into a sharp problem statement, a solution, and a definition of success everyone signs up to
  • Carry it through. Lead the shaping in pre-sales as a full member of the team, then stay on into delivery so nothing is lost in the handover
  • Run the room. Facilitate workshops with business and technical stakeholders, and bring the clarity when the brief is fuzzy or the client changes direction
  • Make the case. Build the business case and the ROI story so clients can invest with confidence
  • Drive adoption. Work on rollout and change so what you build actually gets used - then feed the lessons back into how we work

Requirements

  • You build with AI, hands-on. You actively prototype with the current toolset - Claude and Claude Code, ChatGPT and Gemini, Cursor, app builders like v0, Lovable or Replit, and agent platforms such as Microsoft Copilot Studio - and you reach for them in your own work by default
  • You’ve delivered AI into production. A track record of taking AI agents or AI-native features all the way into live client use - things that shipped and got used, not prototypes that stayed in the lab
  • Customer-facing, high-stakes experience. You’ve led work where stakeholders weren’t aligned, and the path wasn’t obvious. Roughly 5+ years in product, consulting - though your track record matters to us more than years or titles
  • Deep in one vertical. Real domain depth in at least one industry - Financial Services, Retail Banking, Insurance, Healthcare & Life Sciences, Retail or Travel & Hospitality - so you speak the client’s language, not just the technology’s
  • A real product and value mindset. You’re at home with 0→1 product innovation: building from a blank page, under ambiguity, without a playbook
  • GenAI fluency. Working knowledge of LLMs, prompting, RAG, embeddings and vector databases, agents and the Model Context Protocol (MCP) - enough to make good calls, not necessarily to write production code
  • You can be heard in the room. You ask sharp questions, structure chaos, and move from whiteboarding with execs to a crisp brief for engineers without losing the thread
  • Bias for action. You jump into the gaps - a rough prototype over a weekend, a workshop, a demo at short notice - to keep things moving

Nice to have

  • Pre-sales and solution-shaping experience with senior client stakeholders

We offer

  • We gather like-minded people:
    • Top tech minds driving innovation in AI, cloud and digital platform modernization
    • Supportive team and agile, startup-like culture
    • Hybrid by design mode and opportunity to work remotely within Poland
    • Chance to work abroad for up to 60 days annually
    • Business-driven relocation opportunities
  • We provide growth opportunities:
    • Career development programs
    • Thought leadership, mentoring, soft skills and well-being programs
    • Certification (Anthropic, Gemini, GCP, Azure, AWS)
    • English classes
  • We cover it all:
    • Stable pay
    • Participation in the Employee Stock Purchase Plan with a 15% discount
    • Benefits package (health insurance, multisport, shopping vouchers)
    • Referral bonuses up to $2,000
    • Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more
    • Corporate, social and well-being events
  • Please, note:
    • Benefits listed above are available to employees only
    • We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually
    • We will reach out to selected candidates exclusively

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

Tech stack

  • Product Management
  • Applied AI
  • Stakeholder Management
  • Large Language Models
  • Prompt Engineering
  • Retrieval-Augmented Generation
  • vector databases
  • Agent Platforms
  • Prototyping
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