Sr. Product Manager

🏢 Summary: Remote .NET Software Engineer role focused on advancing an industrial knowledge-graph platform and solving complex technical problems creatively. The position offers flexibility and competitive time off while contributing to platform development in a fast-paced environment. 🗂️ Requirements: 7+ years of professional software development experience, Expert-level .NET proficiency, Agile experience, Azure or AWS experience, Graph-database experience, Product-development architectural vision, Clean-code and modern programming-standards proficiency, Problem-solving and solution-design ability, Continuous-learning mindset, B2 English level 📃 Skills: .NET, Agile, Kanban, Azure, AWS, RedisGraph, Neo4j, MemGraph, FalkorDB, GitLab, CI/CD, NoSQL, TypeScript, React 🏢 Description: About the role We are looking for a .NET Software Engineer to take our platform to the next level. You will work on a team focused on building the largest knowledge graph in the industrial world. This role offers the chance to solve never-seen technology problems. If you are interested in solving challenging technical problems with freedom to think creatively, this role is for you. Benefits • 100% remote work • Competitive time-off package for rest and recharge Required Skills • 7+ years of professional software development with expert-level .NET experience • Experience working in Agile, preferably Kanban • Experience with Azure Cloud and/or AWS • Experience with graph databases, such as RedisGraph, Neo4j, MemGraph, or FalkorDB • Architectural vision for product development • Ability to write clean code in accordance with modern programming standards • Problem-solver mentality and ability to design unique solutions to unique problems • Desire to learn and continuously improve • At least B2 English level Preferred Skills • Experience with GitLab, including CI/CD • Data-modeling expertise • Experience with NoSQL databases • Familiarity with TypeScript and React

🏢 Summary: Senior Engineer role focused on owning and evolving the query and compiler pipeline, translating complex queries into efficient, scalable execution plans. The position drives advanced optimization strategies across AST transformations and execution planning while ensuring strict correctness of query semantics. The role directly impacts system performance, scalability, and database engine reliability in a graph-oriented environment. 🗂️ Requirements: Expert-level experience in C# and .NET backend development, Strong database design experience, Proven query performance optimization experience, Experience designing and tuning database indexes, Experience with graph databases or relationship-heavy data models, Ability to analyze and optimize query execution plans, Experience profiling backend or database-heavy production systems, Strong knowledge of data structures and algorithms for database workloads, Experience maintaining database stability, replication, and sharding 📃 Skills: C#, .NET, SQL, Cypher, Gremlin, SPARQL, ANTLR, Neo4j, Memgraph, FalkorDB, RedisGraph, PostgreSQL, SQLServer, AST, Compilers, Profiling, Sharding, Replication, Indexing, Algorithms 🏢 Description: About Cerebre Cerebre is on a mission to build the data foundation of the physical world. We offer a live intelligence map of facilities, built from schematics to power AI. Often called the “brain” of the digital twin, cerebre helps engineers, data scientists, and business teams understand data within the context of the plant. We collaborate with the world’s largest companies and most innovative partners who are transforming the industrial sector. Cerebre is a global team of engineers, scientists, innovators, and explorers united by a mission to help the world’s largest manufacturing facilities build and use intelligence. Our development team is made up of world-class engineers who design and deliver novel solutions. This is an opportunity to join a market-leading team that is changing how the industrial world works. If you love building and creating value in the “white space,” if you thrive with the freedom and flexibility to think outside the box, if you are passionate about working with critical thinkers who challenge the status quo, and if you aspire to work in a fast-paced environment, then we would love to meet you! We believe flexibility drives creativity and that our team should live and work where we can be our best selves. We’re 100% remote and offer a competitive time-off package to ensure time for rest and recharge. About the role We are seeking a Senior Engineer to take ownership of critical components of our query and compilation systems. In this role, you will drive the design and evolution of the compiler pipeline, from parsing and AST construction through validation, optimization, and execution-plan generation, ensuring that complex queries are translated into efficient, scalable, and reliable operations across the platform. A core responsibility of this role is leading the design and implementation of advanced optimization strategies. You will develop and refine transformation pipelines, including rewrite rules and optimization passes, that significantly improve performance while maintaining strict correctness of query semantics. This includes optimizing how data is traversed, filtered, aggregated, and executed, with a strong awareness of backend behavior and system constraints. As a senior member of the team, you will operate with a high degree of ownership in ambiguous and complex problem spaces, shaping both system architecture and technical direction. You will collaborate closely with engineers across the platform to ensure that optimizations are robust, maintainable, and aligned with real-world usage patterns. Your work will directly influence system performance, scalability, and the overall developer and user experience. Key Responsibilities Maintain and extend the compiler pipeline, including grammar, AST construction, validation, compilation, and execution-plan generation. Design and implement optimization passes over the AST and execution plan, such as simplification, predicate pushdown, filter combination, dead-step elimination, repetition/path rewrites, and plan normalization. Improve query performance by identifying inefficiencies in traversal, filtering, projection, aggregation, and backend interaction. Preserve correctness of query semantics while introducing compiler optimizations and refactors. Maintain and extend the database engine in terms of stability, replication, sharding, and observability. Required Skills Expert-level C# / .NET backend engineering. Strong database design experience. Strong query performance optimization experience. Strong experience designing and tuning database indexes. Experience with graph databases, knowledge graphs, or relationship-heavy data models. Ability to reason about query execution plans, data access patterns, and performance tradeoffs. Experience profiling backend/database-heavy systems in production. Strong understanding of data structures and algorithms as applied to database/query workloads. Preferred Skills Experience building query engines, query planners, interpreters, rule engines, or DSLs. Experience with graph query languages such as Cypher, Gremlin, SPARQL, or similar. Experience with query rewrite techniques such as predicate pushdown, plan normalization, filter combination, or traversal simplification. Experience with parser generators such as ANTLR, or hand-written parsers. Experience with graph-specific operations such as neighbor traversal, pathfinding, subgraph matching, or recursive traversals. Experience with FalkorDB, Neo4j, Memgraph, RedisGraph, SQL Server, PostgreSQL, or similar database systems. 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: Senior Engineer role focused on owning and evolving a query compiler pipeline, from parsing and AST construction to optimization and execution-plan generation. The position centers on designing advanced optimization passes and rewrite rules to ensure efficient, scalable, and semantically correct query execution. The engineer will shape system architecture and improve performance across traversal, filtering, aggregation, and backend interactions. 🗂️ Requirements: Strong professional experience in C# and .NET, Experience maintaining compilers, interpreters, query planners, or rule engines, Solid understanding of parsing, ASTs, semantic validation, and query generation, Experience designing optimization passes or rewrite rules with semantic correctness, Ability to reason about execution plans and backend-aware performance tradeoffs, Proficiency in English 📃 Skills: C#, .NET, ANTLR, gRPC, ASP.NET, Parsing, AST, Compilers, Optimization, Profiling, Graph, Relational 🏢 Description: About cerebre 👇 Cerebre is on a mission to build the data foundation of the physical world. We offer a live intelligence map of facilities, built from schematics to power AI. Often called the “brain” of the digital twin, cerebre helps engineers, data scientists, and business teams understand data within the context of the plant. We collaborate with the world’s largest companies and most innovative partners who are transforming the industrial sector. Cerebre is a global team of engineers, scientists, innovators, and explorers united by a mission to help the world’s largest manufacturing facilities build and use intelligence. Our development team is made up of world-class engineers who design and deliver novel solutions. This is an opportunity to join a market-leading team that is changing how the industrial world works. If you love building and creating value in the “white space,” if you thrive with the freedom and flexibility to think outside the box, if you are passionate about working with critical thinkers who challenge the status quo, and if you aspire to work in a fast-paced environment, then we would love to meet you! We believe flexibility drives creativity and that our team should live and work where we can be our best selves. We’re 100% remote and offer a competitive time-off package to ensure time for rest and recharge. 📌 About the role We are seeking a Senior Engineer to take ownership of critical components of our query and compilation systems. In this role, you will drive the design and evolution of the compiler pipeline, from parsing and AST construction through validation, optimization, and execution-plan generation, ensuring that complex queries are translated into efficient, scalable, and reliable operations across the platform. A core responsibility of this role is leading the design and implementation of advanced optimization strategies. You will develop and refine transformation pipelines, including rewrite rules and optimization passes, that significantly improve performance while maintaining strict correctness of query semantics. This includes optimizing how data is traversed, filtered, aggregated, and executed, with a strong awareness of backend behavior and system constraints. As a senior member of the team, you will operate with a high degree of ownership in ambiguous and complex problem spaces, shaping both system architecture and technical direction. You will collaborate closely with engineers across the platform to ensure that optimizations are robust, maintainable, and aligned with real-world usage patterns. Your work will directly influence system performance, scalability, and the overall developer and user experience. ⚙️ Key Responsibilities Maintain and extend the compiler pipeline, including grammar, AST construction, validation, compilation, and execution-plan generation. Design and implement optimization passes over the AST and execution plan, such as simplification, predicate pushdown, filter combination, dead-step elimination, repetition/path rewrites, and plan normalization. Improve query performance by identifying inefficiencies in traversal, filtering, projection, aggregation, and backend interaction. Preserve correctness of query semantics while introducing compiler optimizations and refactors. 📜 Required Skills Strong professional experience in C# and .NET. Experience maintaining compilers, interpreters, query planners, rule engines, or other transformation-heavy systems. Solid understanding of parsing, ASTs, semantic validation, and code or query generation. Experience designing optimization passes or rewrite rules with strong attention to semantic correctness. Ability to reason about execution plans, performance tradeoffs, and backend-aware optimization. Proficient in English language 🎯 Preferred Skills Experience with ANTLR or similar parser generators. Experience with query engines, graph databases, relational planners, or traversal-heavy workloads. Familiarity with optimization techniques such as constant folding, canonicalization, predicate pushdown, common-subexpression elimination, and plan simplification. Experience with gRPC and ASP.NET services in production systems. Experience profiling .NET applications and improving throughput or memory behavior in execution-heavy pipelines. 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: 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: Product Manager role focused on building and scaling a two-sided staffing marketplace platform for industrial and logistics operations using AI-driven systems and operational tooling. The position involves owning product strategy, improving marketplace efficiency, collaborating closely with engineering and operations teams, and delivering enterprise-grade workflow solutions in fast-paced startup environments. 🗂️ Requirements: 5-7 years of Product Manager experience, Experience building two-sided marketplace products, Experience with enterprise B2B products, Experience building operational tooling or systems, Strong technical fluency, Ability to work closely with engineering teams, Experience shipping products with measurable business impact, Startup environment experience, Ability to manage complex operational workflows, Experience with supply and demand marketplace dynamics 📃 Skills: AI, Product, Marketplace, B2B, Operations, Analytics, Tooling, Systems, Engineering, Workflows 🏢 Description: About Traba Traba is building the AI operating layer for the light industrial supply chain. The company started in the workforce space to solve contingent labor challenges for manufacturing and logistics customers and has expanded into broader operational workflows. By connecting systems across facilities and activating workers already on the platform, Traba is building applied AI solutions that improve productivity and operational efficiency. The Role The product is the labor itself: the workers matched and deployed into warehouses and manufacturing facilities across the country. Every product decision impacts supply, demand, fulfillment, customer outcomes, and marketplace health. Traba is seeking an entrepreneurial and experienced Product Manager to own and evolve the staffing product at the center of its marketplace. The role involves working across both sides of the marketplace: enterprise customers operating distribution centers and manufacturing facilities, and the workers whose reliability drives customer success. The Product Manager will collaborate with software engineers, product designers, data analysts, operations teams, and field teams to design, build, and deploy practical solutions into industrial facilities. This role reports directly to the VP of Product. What you’ll do - Architect and steward product strategy across staffing and marketplace workflows - Solve marketplace problems by balancing customer needs, operational realities, and business outcomes - Write detailed product requirements and partner closely with engineering teams - Build systems that improve marketplace liquidity, fulfillment, matching quality, and operational efficiency - Use data to uncover patterns and answer marketplace and customer questions - Translate operational complexity into scalable product systems - Scale operations through internal tooling and technical solutions - Launch and iterate products across customers, regions, and operational environments - Visualize and communicate complex systems, workflows, and product strategies - Collaborate across teams and synthesize stakeholder feedback What we’re looking for - Customer-obsessed approach with direct engagement with users on both sides of the marketplace - AI-native operating style with hands-on prototyping and technical collaboration - Deep experience in two-sided marketplaces with supply and demand dynamics - Experience building enterprise B2B products with operational complexity - First-principles thinking and systems-level product judgment - Experience building operational systems and internal tools - Builder mentality with comfort operating in ambiguity and fast-moving environments - Strong collaboration skills across product, engineering, data, operations, sales, and leadership teams What you’ll bring - 5 - 7 years of experience as a Product Manager - Evidence of shipping products that materially improved business outcomes - Strong experience in two-sided marketplaces - Experience building enterprise products with multi-stakeholder customers - Experience building operational tooling or systems - Strong technical fluency and ability to work deeply with engineering teams - Startup experience with strong ownership and execution - Desire to work across a broad range of responsibilities - Strong work ethic and interest in building a category-defining company Benefits - Start-up equity - Competitive salary - 100% paid health, dental, and vision coverage - Dinner provided via Grubhub and stocked kitchen for New York employees - Commuter benefit - Team building events - Gympass benefit - Flexible PTO - Additional benefits including One Medical Membership, HSA via Optum, Talkspace, Health Advocate, and Teladoc Health Salary Range Details The compensation range for this position is between $180,000 and $210,000. The role also includes a competitive equity package. The position is onsite in New York City or San Francisco five days per week, supporting close collaboration and fast-paced teamwork. Equal Opportunity Employer Traba evaluates all applicants without discrimination based on legally protected characteristics and encourages candidates from diverse backgrounds and experiences. Our Values - Dream Big - Olympian’s Work Ethic - Growth Mindset - Customer Obsession

🏢 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 Manager role focused on owning and scaling a staffing marketplace product for industrial supply chain operations. The position involves building enterprise marketplace systems, operational tooling, and AI-driven workflows while collaborating closely with engineering, operations, and data teams. The role is onsite in New York City or San Francisco and offers competitive salary, equity, and comprehensive benefits. 🗂️ Requirements: 7-10 years of Product Manager experience, Experience shipping products that improved business outcomes, Experience with two-sided marketplaces, Experience building enterprise B2B products, Experience with operational tooling or systems, Strong technical fluency, Ability to work closely with engineering teams, Startup environment experience, Ability to manage complex operational workflows, Experience with supply and demand marketplace dynamics 📃 Skills: AI, Product, Marketplace, B2B, Enterprise, Operations, Analytics, Tooling, Engineering, Workflows 🏢 Description: About Traba Traba is building the AI operating layer for the industrial supply chain. The company began in the workforce space, helping manufacturing and logistics customers solve contingent labor challenges through technology-driven staffing operations. The platform has expanded into broader operational workflows across industrial facilities, leveraging proprietary shift data, enterprise integrations, and applied AI to improve productivity and operational efficiency. The Role The product is the labor itself: the workers matched and deployed into warehouses and manufacturing facilities across the country. Every product decision impacts supply, demand, fulfillment, customer outcomes, and marketplace health. The company is seeking an entrepreneurial and experienced Product Manager to own and evolve the staffing product at the center of the marketplace. The role involves working across both enterprise customers operating distribution centers and manufacturing facilities, and the workers whose reliability powers those operations. The position collaborates closely with software engineers, product designers, data analysts, product managers, operations teams, and field teams to design, build, and ship operational solutions into industrial facilities. This role reports directly to the VP of Product. What you’ll do - Architect and steward product strategy across staffing and marketplace workflows - Solve marketplace problems by balancing customer needs, operational realities, and business outcomes - Write detailed product requirements and partner closely with engineering teams - Build systems that improve marketplace liquidity, fulfillment, matching quality, and operational efficiency - Use data to uncover patterns and answer marketplace and customer questions - Translate operational complexity into scalable product systems - Scale operations through internal tooling and technical solutions - Launch and iterate products across customers, regions, and operational environments - Visualize and communicate complex systems, workflows, and product strategies - Collaborate across departments while synthesizing stakeholder feedback What we’re looking for - Customer-focused approach with direct engagement with marketplace users - Experience operating with AI-driven workflows and tooling - Deep experience building products in two-sided marketplaces - Experience with enterprise B2B products and complex customer environments - Strong first-principles thinking and systems understanding - Experience building operational products or internal tools - Ability to move quickly in ambiguous startup environments - Strong cross-functional collaboration skills What you’ll bring - 7 - 10 years of experience as a Product Manager - Evidence of shipping products that materially improved business outcomes - Strong experience in two-sided marketplaces with supply and demand dynamics - Experience building enterprise products with multi-stakeholder customers - Experience building operational tooling or systems - Strong technical fluency and ability to work deeply with engineering teams - Startup experience with high ownership and speed - Desire to work across a broad product and operational surface area - Strong work ethic and interest in building a category-defining company Benefits - Start-up equity - Competitive salary - 100% paid health, dental, and vision coverage - Dinner provided via Grubhub and stocked kitchen for NY employees - Commuter benefit - Team building events - Gympass benefit - Flexible PTO - One Medical Membership - HSA via Optum - Talkspace - Health Advocate - Teledoc Health Salary Range Details The compensation range for this position is between $210,000 and $250,000. A competitive equity package is also included. The position is onsite in New York City or San Francisco five days per week to support collaboration and operational execution. Equal Opportunity Employer The company evaluates all applicants without discrimination and encourages applicants from a variety of backgrounds and experiences. Our Values - Dream Big - Olympian’s Work Ethic - Growth Mindset - Customer Obsession