June 9, 2026
AI Product Manager
Mid • Remote
5,000 - 5,700 USD
Krakow, Poland
(#5027)
About the Role:
AI Product Manager responsible for driving the success of AI products by combining expertise in product management principles with a deep understanding of AI technologies and their applications.
We are looking for an AI-savvy Product Manager to join the project programme for our Client. The Engineering team builds and maintains a framework-agnostic UI component library used across Client’s software products, and is now actively embedding AI-assisted workflows, MCP-based agentic infrastructure, and automated SDLC tooling into its engineering practice.
In this role you will own the product backlog, define and prioritise the roadmap for AI-enhanced capabilities, align cross-functional stakeholders (engineering, architecture, Client’s PMs), and drive measurable delivery outcomes in a fast-moving agentic tooling context.
About the Client:
Our Client is the largest engineering company in Europe, and holds the position of global market leader in industrial AI, automation, and industrial software.
Become a part of Client’s innovation department which is creating and managing cutting-edge technical architectures, serves as a shared platform for research and development within Client's large organization. It primarily focuses on research and development including broad incorporation of Artificial Intelligence (AI), cloud-based software, high-performance computing, etc.
Responsibilities:
Product Strategy & Roadmap
Define and maintain the AI product roadmap for the UI component library product, aligned with Client’s Digital Innovation department’s strategic objectives.
Translate business goals and engineering insights into a prioritised, well-groomed backlog using PMBOK and agile best practices.
Lead quarterly UI component library roadmap reviews with stakeholders and N-iX leadership.
AI & Agentic Infrastructure Ownership
Own the product definition for AI-integrated SDLC tooling: issue analysers, GitLab analytics skills, Claude Code agents, MCP server configurations, and automated reporting pipelines.
Work closely with the UI Architect, Engineering Leads to evaluate and prioritise new AI capabilities for integration into the UI component library development lifecycle.
Define acceptance criteria for agentic features, including observable behaviour, error handling, and handoff points between human and AI agents.
Backlog & Delivery Management
Manage and refine a complex backlog spanning UI components, AI tooling, DevOps automation, and platform quality.
Coordinate and execute releases planning and scope management
Aligning on business needs, performing AI-analysis for advancing the prioritization process, ensuring the issues and new features are structured and validated with business stakeholders/consumers.
Stakeholder Alignment & Communication
Act as the primary bridge between Client’s product stakeholders and the vendor’s and N-iX’s engineering teams, ensuring clear, timely, and transparent communication.
Produce executive-level product roadmaps reports aligned to Company’s brand guidelines.
Identify, track, and escalate risks and dependencies in the delivery timeline.
Consumer & Quality Focus
Maintain the consumer-facing UI component library roadmap based on user requests and feedback; facilitate correction actions for input requirements from component consumers.
Champion quality gate automation, testing framework improvements, and CI/CD pipeline coverage as product-level acceptance criteria.
Key Skills & Requirements:
Product Ownership
3+ years of experience as a Product Owner or Product Manager in a software engineering environment.
Proven track record of managing complex backlogs with competing priorities across multiple workstreams.
Strong command of agile frameworks (Scrum, Kanban) and PMBOK knowledge areas.
AI & Technical Fluency
Working knowledge of AI/LLM-powered tooling - including prompt engineering, agentic workflows, and MCP (Model Context Protocol) concepts.
Ability to define product requirements for AI features without requiring deep ML expertise; comfort working alongside AI infrastructure and agent teams.
Familiarity with modern SDLC automation: CI/CD pipelines, GitLab, automated code review, AI-assisted issue triage, and analytics-driven PM.
Stakeholder & Delivery Management
Demonstrated ability to manage enterprise stakeholders in a distributed, multi-vendor delivery model.
Experience translating technical delivery progress into executive-ready communications (status reports, roadmap decks, risk registers).
Data-driven mindset: comfortable with delivery metrics (cycle time, throughput, burndown, eNPS) as inputs to backlog prioritisation.
Communication & Documentation
Excellent written and verbal communication in English (business-level required; C1+).
Ability to produce well-structured PRDs, discovery outputs, acceptance criteria, and stakeholder presentations.
Nice to have:
Experience with UI platform or design system products (component libraries, Stencil.js, web components).
Familiarity with MCP server architecture, LLM agent orchestration frameworks (LangChain, Semantic Kernel, CrewAI), or agentic infrastructure patterns.
Background working within large enterprise engineering organisations.
Experience using AI-powered PM analytics or GitLab data pipelines for project health reporting.
Proficiency with data visualisation tools (Power BI, Grafana, custom HTML/PDF reports).
Certifications:
Advantageous
AI Product Management certification (e.g., Pragmatic Institute AI PM, Product School AI PM Certificate)
ITIL 4 Foundation — for service and change management context in enterprise delivery
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You are a strong communicator and influencer, capable of building relationships with senior leadership, engineering teams, and external stakeholders to drive alignment and move initiatives forward. You have a proven ability to manage large-scale AI product initiatives, balancing technical feasibility, user experience, and business impact. Requirement - Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output. Bonus/Plus - You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products. If you’re passionate about shaping the future of AI products and driving innovation at scale, we’d love to hear from you! Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. Benefits & Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intra-departmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds Access to Inclusion Talks, our Internal panel discussions Free, global Spring Health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$300,000—$385,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Technology
Sigma Software
Project Manager (Digital Transformation with AI Focus)
Mid
Remote
🏢 Summary: Project Manager role leading delivery of a modern, scalable digital transformation platform with AI integrated across the SDLC. The position focuses on managing fixed-price IT projects end-to-end while driving AI adoption, quality standards, and delivery excellence in remote or hybrid teams. You will coordinate cross-functional teams, oversee scope, budget, and risks, and support innovation through AI-driven practices. 🗂️ Requirements: 3–4 years experience as Project Manager in IT Services, Proven experience managing fixed-price projects, Experience with pre-sales activities, Experience managing remote or hybrid software teams, Proficiency with PM tools (Jira, MS Project, Trello), Experience managing project scope, schedule, and budget, Budget tracking for fixed-price contracts, Understanding of SDLC, Experience driving AI adoption across SDLC, Upper-Intermediate English or higher 📃 Skills: Jira, MSProject, Trello, SDLC, AI, Agile, Scrum, Kanban, Budgeting, RiskManagement, StakeholderManagement, ProjectManagement 🏢 Description: Sigma Software is a global IT service provider delivering high-quality software development, consulting, and IT solutions for clients in Europe, the US, and worldwide. We value innovation, quality, and collaboration, partnering with major technology leaders across various domains to create impactful solutions. Join us to lead the delivery of a modern, scalable digital transformation platform with AI integration at its core. This initiative supports global clients in adopting AI across the software development lifecycle (SDLC), enhancing planning, requirements, coding, testing, quality assurance, and delivery efficiency. You’ll work with a cross-functional team in a remote or hybrid setup, guiding the project from concept to launch. As a Project Manager, you will take ownership of high-impact projects, driving innovation, quality, and long-term client success. You will coordinate diverse teams, manage scope, schedule, budget, and risks, and ensure delivery excellence. You will also champion AI adoption, lead proof-of-concepts with emerging tools, and promote best practices within the organization. Job Description Plan, execute, monitor, and close projects of moderate to high complexity. Develop and maintain project documentation (charter, plans, backlog, status reports). Manage requirements, scope, schedule, budget, risks, and quality. Lead team management: resource planning, allocation, performance tracking, conflict resolution, motivation. Ensure quality through demos, reviews, engineering practices, continuous improvements. Build long-term customer relationships and support sales activities. Mentor team members and participate in recruitment. Drive AI adoption across SDLC and act as AI Champion. Qualifications 3–4 years as Project Manager in IT Services. Proven track record managing fixed-price projects. Pre-sales experience. Experience managing diverse teams in remote/hybrid setups. Proficiency in PM tools (Jira, MS Project, Trello). Strong communication & stakeholder management skills. Conflict resolution & decision-making under tight deadlines. Budget tracking for fixed-price contracts. Understanding of SDLC. Experience in driving AI adoption across the SDLC by integrating AI tools and practices to enhance planning, requirements, coding, testing, quality assurance, and delivery efficiency. English: Upper Intermediate+. WOULD BE A PLUS: BA/PO experience. Experience managing software teams of >8 FTEs. Mentoring/people management skills. Personal Profile Lead PoC with emerging AI tools and technologies to evaluate their fit, demonstrate value, mitigate risks, and accelerate innovation in client projects. Act as an AI Champion (ideally): promote responsible and effective use of AI within project teams and the broader organization, educate stakeholders, champion best practices, address concerns, and foster a culture of AI-driven transformation.
Technology
Piano Software, Inc.
Product Manager, Checkout
Senior
Hybrid
Warsaw, Poland
15,000 - 18,000 PLN
🏢 Summary: Product Manager role responsible for owning and evolving a customer-facing checkout product within a subscription commerce environment. The position focuses on driving conversion optimization, defining product strategy and roadmap, and leading Program Increment execution within a SAFe framework. The role requires strong expertise in payments, data-driven decision-making, and AI-augmented product practices to deliver measurable revenue impact. 🗂️ Requirements: Proven Product Manager experience with customer-facing checkout or payment products, Demonstrated track record of improving conversion or revenue metrics, Strong expertise in checkout, payments, and subscription commerce, Hands-on experience with Stripe, Experience working within payment provider ecosystems, Experience with Scrum and SAFe frameworks, Ability to define product strategy and manage program-level backlog, Experience with ROI analysis and data-driven product decisions, Proficiency in AI-augmented product discovery and analysis, Professional working proficiency in English 📃 Skills: Stripe, SAFe, Scrum, AI, Analytics, ROI, Payments, Checkout, Subscriptions, UX, Roadmapping, WSJF, RICE, KPIs, OKRs 🏢 Description: Purpose and mission The Product Manager (PM) is the strategic owner of one or multiple product areas within Piano's portfolio. The PM translates business goals, market signals, and client insights into a compelling product vision and a prioritized program backlog. They work at the intersection of business strategy, client value, product marketing, product design and technology feasibility, ensuring that the right things get built, in the right order, for the right reasons. In the SAFe 6 model, the PM operates at the Agile Release Train level, driving the Program Increment (PI) and empowering Product Owners to execute with confidence and autonomy. In an AI-accelerated product landscape, a PM at Piano is expected to actively leverage AI tools to sharpen market analysis, accelerate discovery, generate insights from data, and move faster at every stage of the product lifecycle. AI fluency is not optional, it is a force multiplier for every other responsibility in this role. The Checkout PM owns Piano's customer-facing checkout surface — the conversion-critical flow where end users make a subscription purchase. This role requires a PM who is fluent in conversion optimization and UX. Core responsibilities Product Vision & Strategy Define and maintain a clear, compelling product vision for Piano's checkout, aligned with Piano's broader subscription strategy. Develop and own the checkout roadmap over a 3–12 month horizon, balancing new capabilities, technical quality, and business priorities. Conduct ongoing market and competitive analysis to identify opportunities, threats, and strategic positioning — particularly at the boundary between Piano's checkout and payment provider capabilities. Define and communicate product positioning, target segments, and go-to-market priorities in collaboration with Marketing and Sales. Backlog Ownership at Program Level Own and maintain the checkout Program Backlog (Features and Enablers) in collaboration with Product Leadership, Architects and other PMs. Prioritize features using value-based frameworks (WSJF, RICE, business impact, strategic fit) and maintain a rolling, well-groomed backlog at all times. Lead PI Planning preparation for checkout: define PI Objectives, present the roadmap to the ART, and make prioritization decisions during planning. Validate Feature acceptance criteria before development begins and approve Features upon delivery. Stakeholder Alignment & Communication Serve as the primary voice of the customer and the market within the ART for checkout-related work, translating needs into Features the team can act on. Collaborate closely with Sales, Pre-Sales, Customer Success, and Support to gather and synthesize client feedback and market signals. Communicate the roadmap and strategic priorities clearly and consistently to all relevant stakeholders, including executive leadership. Represent the product in customer-facing contexts: executive meetings, key account workshops, conferences and strategic partnership discussions. Business & Performance Management Define and monitor checkout product KPIs and OKRs, with particular focus on conversion metrics, completion rates, and revenue impact. Conduct product ROI analysis to justify investment decisions and support budget and resource discussions. Manage the checkout product lifecycle from inception to end-of-life, making proactive portfolio decisions in collaboration with Product Leadership. Go-to-Market & Launch Lead the go-to-market strategy for new checkout capabilities and major releases: beta programs, internal training, sales enablement, and release communication. Collaborate with Marketing and PMM teams to produce effective product messaging and promotional materials. Define and oversee the internal release process to ensure teams are prepared before customer-facing delivery. Collaboration model The PM does not work in isolation. Success in this role depends on effective collaboration: With Product Owners: PMs provide strategic context, prioritized Features, and clear acceptance criteria. POs translate these into actionable stories. The PM should be a trusted partner and enabler for POs, not a bottleneck. With Product Leadership (at the ART and Portfolio levels): PMs are accountable for roadmap quality and strategic alignment. Key decisions on scope, investment, and positioning are made in close consultation with Product Leadership. With Architecture & Engineering: PMs work with Architects to understand technical constraints and enablers. Technical feasibility informs prioritization and roadmap planning. With Product Design: The PM sets the user experience ambition, defining the problems to solve, the user outcomes to target, and the quality bar expected. For checkout, conversion impact is a core input to design decisions. With Customer Success, Consulting & Support: The PM ensures proactive knowledge transfer before releases, clear internal documentation, and well-defined escalation processes, so that client-facing teams can resolve issues and answer questions with confidence, without systematically falling back on Product. With GTM teams: PMs are responsible for enabling Sales, Pre-Sales, and Marketing to confidently present and sell the product at all times. What success looks like The checkout roadmap is clear, up-to-date, and well understood by all stakeholders. PI Objectives are ambitious yet realistic and are consistently met or exceeded. Product Owners feel empowered, well-informed, and able to operate autonomously. Checkout drives measurable business value: conversion rates, completion rates, revenue impact, and client satisfaction. The team builds the right things, validated by client outcomes, not just delivery volume. Field teams (Pre-sales, Sales, Client success…) are informed ahead of releases, equipped with the right materials, and feel like active contributors to the product roadmap, not just recipients of it. Strategic changes and trade-offs are communicated proactively and with confidence. Key competences Hard skills Domain expertise in checkout, payments, and subscription commerce Hands-on experience with Stripe strongly preferred Front-end product instinct and design sensibility (for working closely with design and engineering on user-facing surfaces) Market & competitive intelligence Product strategy & roadmapping Business case development & ROI analysis Scrum, SAFe and Agility at scale Data-driven decision making Working proficiency in English AI-augmented product practices (discovery, analysis, synthesis, prototyping, internal tooling) Required experience Demonstrated PM experience leading customer-facing checkout, payments, or subscription purchase surfaces Track record of measurable conversion or revenue improvements through checkout iteration Experience working in or alongside payment provider ecosystems (Stripe experience strongly preferred) Understanding of subscription lifecycle economics preferred — how checkout decisions affect not just conversion but downstream retention, LTV, and recurring revenue Employment & benefits B2B contract Hybrid work model Benefits: 20 days of paid leave, Lunch Card, Luxmed
Technology

Workato
Staff Product Manager (Developer tools)
Senior
On-site
San Francisco, CA
🏢 Summary: Staff Product Manager for Developer Platforms responsible for defining and executing the strategy for AI and LLM-focused developer products, owning the end-to-end developer experience from APIs to production-scale agent systems. The role drives vision, roadmap, and adoption of developer tools, APIs, and extensibility frameworks, partnering closely with engineering to deliver scalable AI-powered automation solutions. Focused on developer ergonomics, platform scalability, and AI-driven workflows in a competitive market. 🗂️ Requirements: 7+ years in product management, Experience owning developer-facing products end-to-end, Experience building or managing APIs, SDKs, or CLIs, Experience driving external developer adoption, Ability to define product vision and roadmap for developer platforms, Experience collaborating closely with engineering on system design and scalability, Familiarity with AI/LLM or agent-based development workflows, Experience creating PRDs and technical specifications, Experience analyzing product metrics and adoption funnels 📃 Skills: APIs, SDKs, CLIs, LLM, AI, LangChain, LlamaIndex, MLOps, CI/CD, IDE, Agentic, Orchestration, Automation, Integration 🏢 Description: About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers We’re looking for a Staff Product Manager for Developer Platforms who doesn’t just ship features—but defines what should exist in the first place. This role owns the end-to-end experience for developers building on Workato: from first API call to production-scale agent systems. This is not a roadmap execution role. You will define the platform strategy, make hard tradeoffs, and build a product that developers choose in a competitive market. Responsibilities We are seeking a strategic Staff Product Manager to lead our developer-facing products for LLM and Agentic applications. In this pivotal role, you will be the bridge between our developers, our business goals, and our engineering teams, driving the vision and execution of next-generation AI-powered automation and integration tools on the Workato platform. You will be responsible for the entire product lifecycle, from identifying market opportunities and defining the product vision to working with engineering to deliver solutions that empower developers. This role requires someone who has successfully built and shipped developer products before, with a deep understanding of developer ergonomics and an instinct for what separates good developer tools from truly exceptional ones. This is a critical role for someone with a proven track record in developer experience, a strong understanding of the AI landscape, and the ability to translate complex technical capabilities into tangible business value. You should know what great developer tools look and feel like because you've built them yourself. You will also be responsible to: Define and champion the product vision, strategy, and roadmap for Workato's AI and LLM-focused developer products. Partner closely with engineering, design, marketing, and sales to deliver exceptional AI products and drive go-to-market success. Build deep insights into developer workflows, needs, and pain points through direct customer engagement, user research, and community feedback. Transform developer insights and business requirements into actionable PRDs, user stories, and technical specifications. Own the product backlog and feature prioritization, making data-driven decisions that balance immediate developer needs with long-term platform vision. Lead competitive intelligence and market analysis to identify emerging trends and ensure Workato stays ahead in AI developer tooling. Champion the product vision both internally and externally, engaging with developer communities, conferences, and key technical stakeholders. Establish and monitor key product metrics including developer satisfaction, API adoption, and platform engagement to drive continuous improvement. Drive developer adoption metrics and optimize onboarding experiences to reduce time-to-first-value. Requirements Qualifications / Experience / Technical Skills 7+ years in product management, including owning a developer-facing product or platform end-to-end—from defining the vision to shipping and iterating Strong product instincts for developer platforms, with a clear point of view on what differentiates winning products (DX, capabilities, ecosystem, distribution) Experience driving adoption with external developers, including improving key stages of the funnel: discover → try → activate → scale Hands-on experience building or managing APIs, SDKs, CLIs, or extensibility frameworks, with an understanding of how these impact real developer workflows Demonstrated developer empathy, grounded in observing and improving real workflows (e.g., working with APIs, CI/CD, logs, IDEs) Comfortable going deep with engineering on system design and tradeoffs, including constraints, scalability, and abstraction decisions Familiarity with modern AI/LLM or agent-based development workflows (e.g., orchestration, prompt iteration, evaluation, observability) Awareness of how developer workflows are evolving (AI copilots, APIs-first development, faster iteration cycles), with a perspective on where things are headed Nice to Have Hands-on experience building or using LLM-powered applications and familiarity with AI frameworks like LangChain, LlamaIndex, or similar. Experience with integration, automation, or MLOps platforms. Active participation in developer communities through writing, speaking, or open-source contributions. Soft Skills / Personal Characteristics You are a strategic thinker who can connect technology with business impact and craft a compelling product narrative. You have excellent leadership and communication skills, with the ability to influence and align cross-functional teams. You are comfortable with ambiguity and rapid iteration, thriving in fast-paced, innovative environments. (REQ ID: 2249)