Sr. Product Manager

🏢 Summary: Build and productionize AI systems that reason over structured industrial knowledge graphs using LLMs, RAG, and agent-based architectures. The role focuses on integrating AI with graph data, engineering documents, and operational workflows to deliver reliable, explainable outputs. You will design scalable APIs and backend services powering AI-native industrial applications. 🗂️ Requirements: 5+ years experience in software engineering, ML engineering, or applied AI, Experience building AI systems combining structured data with LLMs, Strong experience with RAG, embeddings, and retrieval systems, Experience building production-grade AI systems, Strong Python and backend engineering experience, Experience designing scalable APIs and services 📃 Skills: Python, LLMs, RAG, Embeddings, Retrieval, APIs, Backend, PyTorch, TensorFlow, LangChain, LlamaIndex, MCP, OpenAI, HuggingFace, VectorDBs, FalkorDB, GraphDB, DotNet, Cloud 🏢 Description: About Cerebre Cerebre builds software that helps industrial companies understand and operate complex facilities. Our platform transforms engineering diagrams, operational data, and documentation into an ontology -driven knowledge graph, PlantGraph, that models equipment, instrumentation, flow, and process relationships across a facility. This foundation enables engineers and operators to reason about industrial systems with greater clarity and speed. We are now integrating advanced AI capabilities directly into this platform, enabling natural language interaction with facility data, graph-aware reasoning over engineering systems, and AI-driven workflows that operate across diagrams, documentation, and operational processes. Quick Overview Build production AI systems that reason over industrial knowledge graphs (PlantGraph) Work on LLMs, RAG, and agent-based systems solving real-world engineering problems Integrate AI with structured data, diagrams, and operational workflows Own complex, ambiguous problems end-to-end in a high-impact domain What We’re Building Cerebre is building an AI-native platform that helps industrial companies understand and operate complex facilities. At the core is PlantGraph, an ontology-driven knowledge graph that models equipment, instrumentation, and process relationships across a facility from engineering diagrams (P&IDs), documentation, and operational data. We’re now embedding AI directly into this system - enabling: natural language interaction with facility data graph-aware reasoning over engineering systems AI agents that operate across diagrams, documents, and workflows This is not generic LLM work; it’s about making AI reliable, grounded, and usable in real-world engineering environments. What You’ll Do Build AI Systems That Reason Over Structured Industrial Data Design systems that allow LLMs to interpret and reason over PlantGraph and its underlying ontology, combining graph queries, ontology structures, and engineering data into reliable, explainable outputs. Create Natural Language Interfaces Over Complex Systems Build chat-based experiences that allow users to explore facility systems, navigate diagrams, and query equipment and process relationships through conversation. Orchestrate AI Across Graphs, Documents, and Workflows Develop systems that combine: graph queries engineering documentation (P&IDs, procedures, LOTO, work orders) real-world operational context to enable accurate, traceable AI outputs. Enable AI Agents to Safely Interact with the Platform Design APIs and tools that allow AI agents to operate on PlantGraph and system capabilities, ensuring interactions are observable, reliable, and production-safe. Productionize AI Systems at Scale Turn prototypes into production systems: scalable APIs and services performance and cost optimization evaluation, monitoring, and reliability frameworks Own Ambiguous, High-Impact Problems Work across engineering, ML, and domain teams to define and solve complex problems, including identifying and addressing gaps in data, ontology, and system design. Core Engineering Challenges Grounding LLMs in structured graph data Reliable agent workflows across multiple data sources Query optimization across graph + vector + document systems Ensuring correctness, traceability, and validation in AI outputs Building production-grade AI systems for real-world industrial use Required Qualifications 5+ years in software engineering, ML engineering, or applied AI Experience building AI systems that combine structured data with LLMs Strong experience with RAG, embeddings, and retrieval systems Experience building production AI systems (not just prototypes) Strong Python and backend engineering experience Experience designing scalable APIs and services Ability to take ownership of complex, ambiguous problems Preferred Qualifications Experience with LLM agents or tool-based AI systems that interact with external systems via APIs or structured tools, including familiarity with emerging standards such as MCP Knowledge graph or graph database experience Exposure to industrial systems, P&IDs, or engineering workflows Experience with PyTorch / TensorFlow  Distributed systems / cloud infrastructure experience Tech Stack LLMs: OpenAI, open-source models (Hugging Face) AI Frameworks: LangChain, LlamaIndex, MCP ML: PyTorch, TensorFlow Data: Vector DBs, FalkorDB (graph), hybrid retrieval systems supporting PlantGraph and structured reasoning over engineering data Backend: Python services & APIs Frontend: .NET-based applications Why This Role This is a chance to work on real AI problems that matter, not generic chatbots or isolated prototypes, but systems used to operate real-world infrastructure. You’ll be building AI that: reasons over structured engineering systems integrates deeply into workflows must be correct, explainable, and production-ready More about Cerebre We are cross-functional collaborators. We blend manufacturing process knowledge with software and big data engineering expertise to create value in physical settings We are experienced. We are armed with industry-leading experts in numerical simulation, combustion, power, computational fluid dynamics, and chemical process modeling We are serious builders. We develop our platforms using leading practices in IT/OT architecture, OT security, AI architecture, ML Ops, and Platform engineering

🏢 Summary: Product Manager role focused on Operations Automation, driving CX automation and efficiency improvements through end-to-end product lifecycle ownership. The position involves defining product vision and roadmap, managing backlog with engineering teams, and translating business needs into scalable digital solutions. You will shape company-wide automation initiatives while balancing technical constraints and operational impact. 🗂️ Requirements: Product management lifecycle experience, Roadmap and product vision planning, Backlog management with engineering teams, KPI definition and metrics monitoring, Problem and solution space analysis, Data-driven decision making, Stakeholder communication, Technical limitations understanding, Risk management, English B2, Polish B2 📃 Skills: ProductManagement, Automation, KPI, Analytics, Backlog, Roadmap, Microservices, Kubernetes, Docker, Consul, GitHub, GitHubActions, AI, Data, Hermes 🏢 Description: Job Description: In the Operations Automation domain, we focus on driving efficiency and transforming customer experience (CX) across the organization. This critical role is responsible for product management within automated operations, directly impacting CX automation and delivering high-value efficiency gains for multiple internal departments. If you are a proactive product leader who thrives on translating business challenges into impactful digital products, understands the balance between technical capabilities and operational solutions, and wants to shape company-wide initiatives - this is the right job for you! This is the right job for you if you: Product Management Experience: A proven track record in overseeing the product lifecycle (discovery, implementation, post-implementation) to deliver tangible business value. Strategic & Analytical Thinking: The ability to build product plans for at least a quarter and a long-term product vision for at least 1 year, determining clear increments and expected business effects. Problem-Solving Framework: A deep understanding of the difference between problem and solution spaces, ensuring you identify problems worth solving based on user insights without jumping to solutions too fast. KPI Driven Approach: Ability to define and set key KPIs for business goals, monitor relevant product metrics, and clearly understand the differences between input and output measures. Stakeholder & Communication Skills: Excellent interpersonal skills with the ability to facilitate communication across diverse teams, translate business requirements into technology (and vice versa), and communicate complex ideas clearly and concisely to various audiences. Business Writing Excellence: Strong ability to summarize insights into simple, easy-to-understand documents and produce structured recommendations based on accurate data analysis. Language Proficiency: English and Polish at a minimum B2 level. In your daily work you will handle the following tasks: Product Vision & Roadmap: Developing the product vision, roadmaps, and timelines within the Operations Automation portfolio, managing the end-to-end delivery of features. Backlog Management & Team Collaboration: Managing and prioritizing the product backlog in close daily collaboration with engineering teams to ensure execution aligns with strategic goals. Stakeholder Alignment: Collaborating with business teams and internal stakeholders to understand their needs, reconcile requirements, and translate them into digital product functionalities. Cross-Functional Collaboration: Leading products in close alignment with other Product Managers and stakeholders to bridge gaps and solve specific, company-wide problems. Risk & Mitigation Management: Identifying project and product risks at an early stage, communicating them transparently, and executing proper mitigation measures. Technical & Operational Advisory: Understanding technical limitations, being vocal about them, and recommending objective, argument-based decisions - including when it makes more sense to seek operational rather than software solutions. Driving Innovation: Proactively contributing to company-wide initiatives and actively seeking new opportunities to raise the operational bar. What's in it for you: What's in it for you: Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work. Long term discretionary incentive plan based on Allegro.eu shares (restricted stock units). Annual bonus based on your annual performance and company results. Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms). A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories. A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers). English classes that we pay for related to the specific nature of your job. A training budget, inter-team tourism, hackathons, and an internal learning platform where you will find multiple trainings. An additional day off for volunteering , which you can use alone, with a team, or with a larger group of people connected by a common goal. Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy. #goodtobehere means that: You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA. You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create. You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones. You will create solutions that will be used (and loved!) by your friends, family and millions of our customers. You will meet the Allegro Scale , which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, and tens of petabytes of data. You will become part of Allegro Tech - we speak at conferences, run our own blog, record podcasts, and organize our own internal conference. Send us your CV and... see you at Allegro!

🏢 Summary: The offer is for a Product Manager responsible for defining product vision, shaping strategy, and driving roadmap execution for customer-focused solutions. The role involves translating user needs into product requirements, prioritizing backlogs, and collaborating closely with engineering and technical teams to deliver and measure product success. It requires strong analytical capabilities and ownership of KPIs across the product lifecycle. 🗂️ Requirements: Proven experience as Product Manager or in project management, Experience with roadmapping and backlog prioritization, Understanding of software development lifecycle, Strong data analysis and interpretation skills, Experience with Agile methodologies, Experience in stakeholder management, Ability to define and track KPIs, English proficiency B2 or higher 📃 Skills: Agile, Scrum, Kanban, SDLC, DataAnalysis, Roadmapping, BacklogManagement, KPI, GitHub, Docker, Kubernetes, Consul 🏢 Description: Your main responsibilities: - Product Vision and Strategy: setting vertical-specific customer experience vision and strategy. - Customer Insights: PM must understand user requirements and translate them into product requirements. This also involves direct interaction with internal clients. - Roadmap Planning: prioritising product feature backlog and development for the product. - Integration with cross-functional Teams: PM must work closely with engineering, technical leaders, technical executives, and support teams to ensure a successful product launch and post-launch activities. - Measurements and KPIs: defining success metrics/KPIs and tracking performance against them. - Stakeholder Management: engaging with diverse internal stakeholders. This is the right job for you if you: - Have proven experience as a Product Manager or similar role in project management (roadmapping, resource planning, risk assessment, stakeholder cooperation). - Understand software development lifecycle. - Have a lot of experience in data analysis and interpretation. - Have exceptional problem-solving abilities and strong decision-making skills. - Are experienced in Agile methodologies and managing product backlogs. - Have excellent interpersonal, communication, and stakeholder management skills. - Are able to see the product through the eyes of the clients and understand their needs. - Know English at min. B2 level. What we offer: - Flexible working hours in the hybrid model (4/1) - our hours can start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work. - Long term discretionary incentive plan based on Allegro.eu shares (restricted stock units). - Annual bonus based on your annual performance and company results. - Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms). - A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories. - A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers). - English classes that we pay for related to the specific nature of your job. - A training budget, inter-team tourism ( more here ), hackathons, and an internal learning platform where you will find multiple trainings. - An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal. - Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy. And that's just the beginning! You can read more about the benefits here . #goodtobehere means that: - You will join a team you can count on - we work with top-class specialists who have sharing knowledge and experience in their DNA. - You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create. - You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job. - You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support). - You will create solutions that will be used (and loved!) by your friends, family and millions of our customers. - You will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning. - You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about! Send us your CV and… see you at Allegro!

🏢 Summary: AI Product Manager role focused on leading AI-powered features such as AI assistants, document intelligence, and dashboards, with strong emphasis on building and managing LLM-based products in production. The role covers full product lifecycle ownership, defining quality and reliability standards, and making strategic decisions on AI usage within enterprise platforms. Requires deep understanding of embeddings, retrieval, evaluations, tool calling, MCP, and orchestration in real-world environments. 🗂️ Requirements: Experience building and launching AI or LLM-based products in production, Understanding of embeddings, document retrieval, evaluations, tool calling, MCP, and AI limitations, Experience defining and managing product roadmaps, Experience working with Agile/Scrum methodologies, Ability to use Jira or similar project management tools, Bachelor’s degree in Economics, Business, Computer Science, or related field 📃 Skills: LLM, Embeddings, Retrieval, Evaluations, ToolCalling, MCP, Orchestration, Agile, Scrum, Jira, Analytics 🏢 Description: We are looking for a Product Manager who understands how LLM products work in real business environments. This includes embeddings, document search, evaluations, tool and function calling, MCP, orchestration, and system reliability. Overview We are an AI-focused enterprise solutions company that works with public and private companies, governments, institutions, asset managers, and family offices. With headquarters in New York City and four offices worldwide, our global team includes more than 300 engineers and delivery specialists. By bringing data together, automating workflows, and providing predictive insights, we help organizations improve operations and make better business decisions in complex environments. The Opportunity We are hiring an AI Product Manager to lead our AI product area, including our AI assistant, document intelligence tools, and AI-based dashboards and reporting features. We need a PM who understands how LLM products work in production, including embeddings, document retrieval, evaluations, tool and function calling, MCP, orchestration, and reliability. Responsibilities Create product vision and roadmaps for AI-powered features across our platform. Manage the full product lifecycle from idea to launch. Work closely with engineering, design, QA, marketing, and other teams to deliver successful product releases. Define quality and reliability standards for AI features, including evaluations, permissions, response speed, and error handling. Make strong product decisions about when to use AI, when to use standard UX solutions, and how to combine both effectively. Support daily project management activities and improve product development processes using Agile methods. Conduct market and customer research to understand user needs, analyze data, and help prioritize product features. Requirements Experience building and launching AI or LLM-based products in production, preferably in data, analytics, automation, or developer platforms. Understanding of embeddings, evaluations, tool calling, MCP, and the limits of AI products. Ability to take ownership of product roadmap planning and execution. Good understanding of Agile/Scrum methods and tools such as Jira. Strong communication skills and ability to work with both technical and non-technical teams. Strong analytical and problem-solving skills, with the ability to explain product decisions clearly. Bachelor’s degree in Economics, Business, Computer Science, or a related field.

🏢 Summary: Senior Product Manager, Platform role focused on building and scaling internal platform capabilities that enhance developer experience, infrastructure, security, and SDLC operations. The position drives platform strategy, roadmap, and execution to deliver scalable, secure, and reliable tooling for engineering teams. It partners cross-functionally to improve CI/CD, observability, infrastructure abstraction, and overall developer productivity. 🗂️ Requirements: Experience building Platform as a Product at enterprise scale, Experience delivering developer tools, services, and APIs, Ability to work with infrastructure, CI/CD, observability, security, and platform architecture, Hands-on experience with Kubernetes ecosystem, CI/CD pipelines, Infrastructure-as-Code, observability tools, or GenAI coding tools, Experience defining and tracking technical metrics and KPIs, Experience leading cross-functional engineering initiatives 📃 Skills: Kubernetes, EKS, Karpenter, Kyverno, CI/CD, GitHub, Azure, Terraform, Pulumi, CloudFormation, NewRelic, Datadog, Grafana, Copilot, Cursor, GenAI, APIs, SRE, SDLC, Infrastructure, Observability, Security 🏢 Description: At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology.About the Role We're seeking a Senior Product Manager, Platform to serve our internal product development squads and help guide us towards the platform of the future for Playlist. This role sits at the intersection of developer experience, infrastructure, security, and software development lifecycle (SDLC) operations. You'll work cross-functionally with engineering, SRE, security, and application teams to deliver intuitive, scalable, and secure platform capabilities that accelerate developer productivity and enable our business objectives. What You'll Do Developer Engagement & Advocacy Be the voice of our internal developers. Collect pain points, usage patterns, and feedback from engineering teams across Mindbody to develop an informed POV on the biggest opportunities for Platform teams to better serve the organization. Evangelize platform capabilities. Help development squads understand what the platform offers, how to best leverage platform products and other tools, and where opportunities exist for partnership and collaboration. Roadmap Synthesis: Work with AI tooling and analytics to synthesize this information and integrate it into strategic planning. Platform Strategy & Execution Own the platform roadmap across key themes including reliability & performance, platform modernization, developer experience, and operational excellence. Drive initiatives to improve developer experience, CI/CD workflows, infrastructure abstraction, security, and observability. Partner with security, compliance, and architecture teams to ensure platform capabilities are scalable, secure, and meet enterprise standards. Measurement & Impact Work with platform squads to define North Star metrics and establish a framework for tracking success metrics that demonstrate business impact. Measure platform adoption and effectiveness. Communicate the value of platform investments to leadership and stakeholders through data-driven storytelling. What You'll Bring Required Enterprise developer tooling experience: Proven track record building "Platform as a Product" either internally at scale or as an external offering. Developer-focused product management: Deep experience building tools, services, and APIs consumed by developers. You understand what makes developers productive and can translate technical requirements into product strategy. Technical depth: Ability to engage credibly with engineering teams on technical topics including infrastructure, CI/CD, observability, security, platform architecture, and GenAI Coding Tools. Hands on experience with one or more of the following areas: Kubernetes ecosystem (EKS, Karpenter, or Kyverno), CI/CD (Github Actions, Azure DevOps), Infrastructure-as-Code (Terraform, Pulumi, or CloudFormation), Observability (New Relic, Datadog, or Grafana), GenAI Coding Tools (Copilot, Cursor) Cross-functional leadership: Track record of driving complex initiatives across multiple engineering teams, with influence rather than authority. Data-driven decision making: Experience defining metrics that matter and using data to prioritize, communicate impact, and drive continuous improvement. Nice to Have Previous experience as an SRE, software engineer, or in a similar technical role Experience with platform modernization and legacy system migrations Familiarity with developer portal tools, service catalogs, and internal developer platforms Experience in SaaS or B2B environments serving technical audiences Experience collaborating and aligning with global teams and moving projects forward asynchronously Success in Your First Year 30 Days: Build relationships across platform and application development squads. Establish regular touchpoints with key developer teams and their leaders. Begin synthesizing feedback from support channels. 90 Days: Deliver a refined platform vision and 2026 roadmap aligned with strategic themes. Launch developer engagement initiatives. Establish baseline metrics for platform health and developer satisfaction. 6 Months: Drive measurable improvements in key metrics (deployment time, DevEx scores, platform infrastructure adoption). Increase platform visibility and adoption across engineering. Establish the platform as a trusted partner to development teams. 1 Year: Demonstrate clear business impact through improved reliability, faster delivery cycles, and higher developer satisfaction. Position the platform for scale as Mindbody grows. Build a community of platform advocates across the organization. Why This Role Matters Platform Engineering at Mindbody touches every aspect of our technical operation—from how quickly we ship features to how reliably our services run to how secure our customer data remains. This role has the unique opportunity to accelerate every engineering team's effectiveness, enabling us to deliver better experiences for the millions of consumers and businesses who rely on Mindbody. As the first dedicated Platform PM, you'll shape not just what we build, but how we think about internal platforms as products. You'll establish practices, metrics, and relationships that will scale with the company for years to come. Pay transparency It is Playlist's intent to pay all Team Members competitive wages and salaries that are motivational, fair and equitable. The goal of Playlist's compensation program is to be transparent, attract potential employees, meet the needs of all current employees, and encourage Team Members to stay with our organization. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. The base salary range for this position in the United States is $130k to $175k. The total compensation package for this position may also include performance bonus, benefits and/or other applicable incentive compensation plans. Have we piqued your curiosity? Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable). Note: This description outlines key responsibilities but isn't intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.

🏢 Summary: Senior Product Engineer role focused on rapidly building and validating prototypes, MVPs, and AI-driven features for a next-generation commerce and retail media platform. The position operates across the full stack, running experiments, integrating with partners, and scaling winning solutions based on real user data. Emphasis is on fast experimentation, product thinking, and leveraging AI coding tools as standard practice. 🗂️ Requirements: Full-stack development capability (frontend, API, database), Fluency with AI coding tools, Experience building MVPs and POCs, Ability to design and run experiments, Experience with cloud infrastructure, Integration experience with external systems, Knowledge of distributed systems, Ability to work with metrics and data analysis, Proficiency in JVM ecosystem (Java or Kotlin), Experience with AWS 📃 Skills: Java, Kotlin, AWS, Spring, Kafka, TypeScript, Angular, Vue, Python, Terraform, Docker, GitHub, DataDog, SQL, APIs, AI 🏢 Description: Build the future of Commerce & Retail Media — fast. At Commerce Media Tech , part of Team Internet Group , we’re building the next generation of commerce and retail media technology from the ground up. We’re the team behind Zeropark, and now we’re creating a brand‑new platform designed for speed, experimentation, and AI‑powered innovation. If you love turning “this might work” into “here’s a working prototype we can test today,” you’ll fit right in. This is not traditional software engineering. This is product engineering at the frontier—rapid experiments, smart MVPs, real user data, and decisions driven by learning velocity. What you’ll work on As a Senior Product Engineer, you’ll operate across the full stack to quickly validate ideas, kill weak ones, and scale the winners. You will: Build prototypes, MVPs, and experiments that validate or kill business hypotheses in days—not months Develop AI‑driven features such as real‑time shopping intent analysis, smart optimisation, and audience extension Create internal tools and automations that make the team faster—dashboards, data pipelines, workflow hacks, and more Run integration experiments with publishers, retailers, data partners, and clean‑room platforms Work end‑to‑end within a product trio (Product Manager + Product Designer + Product Engineer) from discovery through build What makes this role different This role is ideal for someone who: Thrives in ambiguity and loves figuring out what to build—not just how to build it Ships functional prototypes fast using AI tools like Claude, Cursor, Lovable, v0, Figma Make, or similar Knows when AI‑generated code is “good enough” for an experiment and when proper engineering is needed for production Wants direct access to users, customers, and real data to inform product decisions Enjoys killing their own work when the data says it’s the right call This is a place where engineers don’t wait for tickets. You shape the product, challenge assumptions, and drive outcomes—not just outputs. What we expect in your first 60 days Ship your first working prototype or POC within two weeks Own at least one experiment end‑to‑end—from hypothesis to build to “kill or scale” decision Build or improve an internal tool that materially speeds up the team Form your own opinion on our stack and where AI tooling provides the biggest leverage What you bring Must‑haves Full‑stack capability—frontend, API, and database; nothing blocks you Fluency with AI coding tools and a portfolio that proves it Product thinking: you ask “should we build this?” before “how do I build it?” Comfort with ambiguity and rapid scoping Experience building MVPs/POCs that influenced real decisions Strong signals Side projects, apps, tools, automations you’ve built for fun or impact Ad‑tech, e‑commerce, marketplace, or distributed systems experience JVM (Java, Kotlin) and AWS background Comfort with metrics, experiment design, and pulling your own numbers A track record of killing your own experiments when data proved they shouldn’t ship Show us what you’ve built. That’s what matters. We work with AWS, Kotlin, Java, Spring, Kafka, TypeScript, Angular, Vue, Python, Terraform, Docker, GitHub Actions, and DataDog—but we care more about your ability to build than the tools you already know. AI tools are not optional here—they’re standard equipment. Why you'll love working here There are many reasons to come on board our team of talented professionals, but here are just a few… We are collaborative, fair, consciously inclusive, and flexible We trust, value, and support our people to make the difference We believe that diversity of thought and experience provides the platform for innovation and creativity We invest in the development of our people to drive our ambitions forward We offer a range of benefits (including your choice of tech) and a competitive package We offer a great work environment in an internationally successful enterprise in the online services industry At Team Internet, we believe in equal opportunities for everyone. We value diversity and make sure all applicants get a fair chance, because we know that our collective strength and diversity makes us stronger. If you need assistance completing an application for a position with us or need us to make any reasonable adjustments, please reach out to our Recruiting Team at talent@teaminternet.com

🏢 Summary: Strategic Technical Product Manager (Data & AI) role owning the roadmap for customer-facing AI/ML models and data products in a SaaS environment. You will partner with executive clients to co-develop predictive features, translate business problems into technical specifications, and launch high-impact analytics solutions. This role sits at the intersection of data science, engineering, and go-to-market execution, driving measurable ARR growth. 🗂️ Requirements: 3+ years experience in Product Management, Data Analytics, or Data Engineering, Strong SQL skills (joins, aggregations), Experience with modern BI platforms (Sigma, Tableau, or Looker), Ability to translate business problems into technical data requirements, Experience working with AI/ML models or advanced analytics features, Strong understanding of SaaS product metrics and customer ROI 📃 Skills: SQL, Sigma, Tableau, Looker, Snowflake, DBT, Fivetran, Python, R, AI, ML, SaaS, Analytics, Data, Visualization 🏢 Description: We aren’t just looking for someone to manage a backlog; we’re looking for the founding architect of our customer-facing data and AI strategy. As a Technical Product Manager (Data & AI), you will sit at the intersection of Data Science, Engineering, and customer-facing value. This is a highly visible, strategic role where you’ll partner directly with executive-level clients to co-develop predictive models, analytical features, and SaaS data products. WHAT YOU'LL DO Shape the AI & Data Vision - Own the predictive roadmap for external AI/ML models, advanced analytics features, and data products - Co-innovate with strategic customers and design partners to validate ideas and uncover user needs - Partner with UX and Data Science to translate complex algorithms into intuitive data visualizations and impactful demos Execute & Ship with Impact - Translate customer business problems into technical specifications, transformation logic, and data requirements - Collaborate with Product Marketing and Sales to launch features that drive adoption, retention, and ARR expansion - Use data analysis to validate assumptions and test product hypotheses before development WHAT YOU’LL BRING - 3+ years of experience in Product Management, Data Analytics, or Data Engineering - Strong business and product acumen with ability to connect technical features to customer ROI - SQL fluency, including writing joins and aggregations - Experience with modern BI platforms such as Sigma, Tableau, or Looker - Ability to communicate effectively with executive clients, sales teams, engineers, and data scientists NICE TO HAVE - Experience with modern data stack tools such as Snowflake, DBT, Fivetran, and Sigma - Familiarity with Python or R for lightweight data analysis - Exposure to machine learning lifecycle or productionized models - Experience in complex B2B SaaS industries BENEFITS - Health and dental insurance - 401k with company match - Flexible Time Off or generous PTO plan - Paid holidays and up to 4 weeks paid bonding leave - Tuition reimbursement - Employee Assistance Program - 24/7 virtual medical care access

🏢 Summary: Product Manager role focused on owning and developing a large-scale FinTech product at the intersection of e-commerce, accounting, and credit solutions. The position involves defining product vision and roadmap, translating business needs into technical solutions, and managing delivery in a complex microservices environment. The role offers direct impact on products used by millions of users and close collaboration with engineering teams. 🗂️ Requirements: Proven experience as Product Manager in technology, Experience with data analysis and revenue-driven product changes, Ability to translate business requirements into technical solutions, Experience managing product backlog and roadmaps, Strong stakeholder management including C-level, Understanding of financial or FinTech domain, English B2 minimum, Polish C1 minimum 📃 Skills: ProductManagement, DataAnalysis, FinTech, Roadmapping, BacklogManagement, StakeholderManagement, MarketResearch, Analytics, AgenticAI, Kubernetes, Docker, GitHub, Microservices, Hermes, English, Polish 🏢 Description: Job Description: Are you looking for a place where your impact on the product is real, the scale of operations is massive, and development isn't just an empty slogan? We are developing an innovative FinTech product where the dynamic world of e-commerce intersects with accounting domains and advanced credit solutions. We are looking for a Product Manager to join us in this demanding but extremely rewarding adventure. If you already have a solid foundation in product management, can take responsibility, and feel a hunger for knowledge and ambition to grow toward full seniority - this is the place for you! You will have a direct impact on products used daily by millions of customers and the space to build competencies in a highly complex financial domain. In your daily work, you will handle the following tasks: Full ownership: You will develop the product vision, roadmaps, and timelines, managing the delivery of features and enhancements. The "Bridge" (Business ↔ IT): You will collaborate with stakeholders to understand and reconcile users' needs and translate them into new functionalities. Market and user research: You will see the product through the eyes of the clients and understand their needs, ensuring technical feasibility aligns with the roadmap. Stakeholder management: You will facilitate communication across different teams and stakeholders to align objectives and ensure everyone is on the same page. Quality verification: You will manage and prioritize the product backlog in collaboration with a team of engineers to ensure work is aligned with strategic goals. We are looking for people with: Practical experience as a Product Manager or similar role in technology. Financial acumen and an analytical mind: Experience designing and implementing changes based on data analysis and understanding of revenue drivers. Executive presence: Strong decision-making skills and the ability to manage stakeholders, including C-level stakeholders. Excellent communication and collaboration: Very good business writing skills and experience in translating business requirements into technology and vice versa. An open mind and tech passion: Passion about tech and modern tools (e.g., Agentic AI) to automate tasks and refine services. English at minimum B2 level and Polish at minimum C1 level. What's in it for you: Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work. Long term discretionary incentive plan based on Allegro.eu shares (restricted stock units). Annual bonus based on your annual performance and company results. Well-located offices (with e.g., fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools. A 16" or 14" MacBook Pro or corresponding Dell with Windows and all necessary accessories. A wide selection of fringe benefits in a cafeteria plan (e.g., medical, sports or lunch packages, insurance, purchase vouchers). English classes that we pay for related to the specific nature of your job. A training budget, inter-team tourism, hackathons, and an internal learning platform. An additional day off for volunteering, which you can use alone or with a team. Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, and more. #goodtobehere means that: You will join a team you can count on - we work with top-class specialists who have knowledge-sharing in their DNA. You will love our level of autonomy in team organization, the space for development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create. You will value our Developer Experience and the full platform of tools (Kubernetes, Docker, GitHub) that make creating software easier. You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services. You will meet the Allegro Scale: over 1000 microservices, an open-source data bus (Hermes), and tens of petabytes of data. You will become part of Allegro Tech - we speak at conferences, run our own blog, and organize our own internal conference. Send us your CV and... see you at Allegro!

🏢 Summary: Product Manager role focused on transforming the Product Catalog by introducing structured, high‑integrity product data and improving the partner and customer experience. The position involves defining product vision and roadmaps, driving discovery with AI-assisted tools, and leading Agile delivery in close collaboration with Engineering and UX. The goal is to deliver standardized, production-quality solutions that achieve measurable business outcomes. 🗂️ Requirements: Proven experience as Product Manager in technology-driven environment, Experience with Agile methodologies, Experience managing complex product backlogs, Ability to define product vision and technology roadmaps, Experience in data-driven product discovery and validation (VUVF), Experience collaborating closely with Engineering and UX, Ability to translate business requirements into technical solutions, Stakeholder management up to Executive level, English B2 minimum, Polish C1 minimum 📃 Skills: Agile, Scrum, Kanban, Backlog, Roadmapping, AI, Automation, Low-code, No-code, ProductDiscovery, DataAnalysis, Kubernetes, Docker, GitHub, Microservices 🏢 Description: Product Manager - Partners' Experience (Product Catalog) Location: Poznań, PL, 61-569 Company: Allegro sp. z o.o. Team: Technology Contract Type: Employee Job Description: We are looking for a highly skilled Product Manager to work with a newly established team within the Product Catalog area. Your mission will be to transform the customer journey by introducing structured, high-integrity product data across Allegro’s key verticals. This is the right job for you if you: - Build a culture of continuous improvement by testing innovative ideas, questioning unproductive processes, and building strong, trust-based relationships with stakeholders. - Lead with context, not control, by defining clear problem statements and desired measurable outcomes, ensuring the team has durable autonomy to make decisions. - Own medium-term goals (6–12 months) and demonstrate strong product craft by independently achieving objectives with moderate supervision. - Contribute to product strategy by identifying key customer or business problems aligned with market insights and tracking trends, including AI and automation. - Drive a continuous discovery cycle by consistently gathering evidence against valuable, usable, feasible, and viable risks (VUVF) before committing significant engineering resources. - Accelerate learning and discovery by utilizing AI-assisted insight tools and low-code/no-code prototypes to validate ideas quickly and cheaply. - Collaborate with engineering to enable small, frequent, and independent releases, ensuring the delivery of production-quality solutions that achieve verifiable business outcomes. This is the right job for you if: Have a proven track record as a Product Manager in a technology-driven environment. Are an expert in collaborating with others , knowing how to lead or follow to achieve common objectives. Can independently manage stakeholders up to Executive level , building long-lasting relationships based on trust. Possess a continuous improvement mindset and the ability to establish this culture within your team. Are a true thought partner for Engineering and UX Design counterparts to drive joint prioritization. Have experience in Agile methodologies and managing complex product backlogs. Can translate complex business requirements into clear technology roadmaps and vice versa. Know English at minimum B2 level and Polish at minimum C1 level . In your daily work you will handle the following tasks: Developing and executing the tech-platform-product vision , roadmaps, and timelines for the Product Catalog. Leading a development team to deliver features that introduce standardized product data , improving naming consistency and imagery. Engaging team members and stakeholders with a compelling product vision , ensuring they understand their impact and future direction. Managing and prioritizing the product backlog to align with strategic goals. Facilitating communication across different teams to ensure everyone is aligned on the Enhanced Category Experience goals. What's in it for you: Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work. Long term discretionary incentive plan based on Allegro.eu shares (restricted stock units). Annual bonus based on your annual performance and company results. Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs). A 16" or 14" MacBook Pro or corresponding Dell with Windows and all necessary accessories. A wide selection of fringe benefits in a cafeteria plan (e.g., medical, sports or lunch packages, insurance). English classes paid for by the company, related to the specific nature of your job. Training budget , inter-team tourism, hackathons, and an internal learning platform. An additional day off for volunteering . Social events (Spin Kilometers, Family Day, Fat Thursday, Advent of Code). #goodtobehere means that: You will join a team you can count on - we work with top-class specialists who have knowledge-sharing in their DNA. You will love our level of autonomy in team organization , space for development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create . You will value our Developer Experience and a platform of tools (Kubernetes, Docker, GitHub Actions) that make software creation easier. You will be equipped with modern AI tools to automate repetitive tasks. You will create solutions used by millions of customers . You will meet the Allegro Scale : 1000+ microservices, 300K+ rps on the data bus, and petabytes of data. You will become part of Allegro Tech - we speak at conferences, run a blog for 10+ years, and record podcasts. Send us your CV and... see you at Allegro!

🏢 Summary: AI Product Manager role focused on defining and delivering AI-enhanced capabilities for a framework-agnostic UI component library, embedding agentic workflows and automated SDLC tooling into engineering practices. The position owns the product roadmap, backlog, and stakeholder alignment to drive measurable outcomes in an AI-powered development environment. 🗂️ Requirements: 3+ years experience as Product Owner or Product Manager in software engineering, Experience managing complex backlogs across multiple workstreams, Strong knowledge of Scrum and Kanban frameworks, PMBOK knowledge, Working knowledge of AI/LLM-powered tooling and prompt engineering, Understanding of agentic workflows and MCP concepts, Experience with CI/CD pipelines and SDLC automation, Experience with GitLab and automated code review tools, Ability to define acceptance criteria for AI features, Experience with delivery metrics and data-driven prioritization, Ability to produce PRDs and structured technical documentation, Business-level English (C1+) 📃 Skills: AI, LLM, MCP, CI/CD, GitLab, Scrum, Kanban, PMBOK, SDLC, LangChain, SemanticKernel, CrewAI, PowerBI, Grafana, Stencil, HTML 🏢 Description: (#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