AI Product Manager

🏢 Summary: Opportunity to lead the development and delivery of AI-powered products, including an embedded AI assistant, document intelligence, and AI-driven dashboards. The role focuses on building and scaling LLM-based features in production, ensuring quality, reliability, and strong product strategy. You will own the AI product roadmap and collaborate cross-functionally to ship robust enterprise AI solutions. 🗂️ Requirements: Experience building and shipping AI/LLM-based products in production, Understanding of embeddings, document retrieval, evals, tool calling, MCP, Knowledge of AI product limitations and reliability considerations, Experience owning product roadmap and execution, Understanding of Agile/Scrum methodologies, Experience with Jira or similar project management tools, Strong analytical and problem-solving skills, Bachelor’s degree in Economics, Business, Computer Science or related field 📃 Skills: LLM, Embeddings, Retrieval, Evals, ToolCalling, MCP, Agile, Scrum, Jira, Analytics 🏢 Description: AI Product Manager Salary: $4,500 - $5,500 USD / month Contract Type: B2B or Employment Contract (UoP) Location: Warsaw (City Center) Work Model: Hybrid (3 days in the office, 2 days remote) Overview Our client is an AI-native enterprise solutions company with purpose-built technology for public & private companies, governments, institutions, asset managers, and family offices. With headquarters in New York City and four global offices, they are supported by more than 300 engineers and delivery professionals across the globe. By centralizing and unifying data, automating workflows, and surfacing predictive insights, our client enables organizations to scale operational excellence and generate alpha across complex enterprise environments. The Opportunity We are hiring an AI Product Manager on behalf of our client to lead their AI product stream, including an embedded AI assistant, document intelligence, and AI-powered dashboards and reporting. We need a PM who understands how LLM products work in production, including embeddings, document retrieval, evals, tool/function calling, MCP, orchestration, and reliability. Responsibilities and Duties Product Vision/Roadmapping for AI-powered experiences across the platform. Manage the end-to-end product lifecycle, from concept to release. Cross-Functional Collaboration - Work with stakeholders across the company, including engineering, design, QA, and marketing, to manage successful product launches. Production AI Quality & Reliability - Define how AI features should behave in production, including quality standards, evaluation criteria, permissions, latency expectations, and failure states. AI Product Judgment - Make strong product decisions about when to use AI, when to use traditional UX, and how to combine both effectively. Day-to-day Project Management - Support process improvements and the implementation of best practices in product development, including Agile methodologies. Collaborate with team members to ensure efficient and effective product delivery. Product Strategy and Customer Research - Conduct market research to identify customer needs and industry trends. Gather and analyze user data to support product decisions and feature prioritization. Requirements Product management experience building and shipping AI-powered/LLM-based products in production, ideally in data, analytics, automation, or developer/platform environments. Understanding of embeddings, evals, tool calling, MCP, and AI product limitations. Proven ability to drive work forward and truly own the roadmap and execution of their product. Solid understanding of Agile/Scrum methodologies and familiarity with Jira or similar project management tools. Passionate about working closely with engineering/design/QA teams. Strong communication and interpersonal skills, with the ability to convey ideas effectively to technical and non-technical stakeholders across the business. Strong analytical and problem-solving skills, with the ability to articulate and justify product and prioritization decisions clearly and logically. Bachelor's degree in Economics, Business, Computer Science, or a related field.

🏢 Summary: Full-time Product Manager role focused on owning the strategy, roadmap, and delivery of AI-powered and LLM-based product features within enterprise platforms. The position involves driving end-to-end AI product lifecycle in Agile environments and defining production standards for AI systems. Hybrid work model from Warsaw with long-term engagement. 🗂️ Requirements: 4+ years of commercial experience as Product Manager or Project Manager, Experience building and launching AI-powered or LLM-based products in production, Strong understanding of modern AI concepts including embeddings, evals, tool calling, MCP, Knowledge of Agile/Scrum methodologies, Experience using Jira or similar project management tools, Experience working with engineering, design, and QA teams, Bachelor’s degree in Computer Science, Business, Economics, or related field 📃 Skills: AI, LLM, Embeddings, Evals, ToolCalling, MCP, Agile, Scrum, Jira, Analytics, Automation 🏢 Description: 💰 16,415 PLN - 20,000 PLN 🌎 Hybrid from Warsaw (3 days/week office) 🕦 Full-time position, long-term ☑️ Contract of Employment/B2B We are looking for a Product Manager to join our client, a technology company building AI-powered platforms and intelligent automation solutions for enterprise environments. The company focuses on leveraging modern AI and LLM technologies to improve workflows, analytics, and user experiences across complex products and platforms. In this role, you will own the strategy, roadmap, and delivery of AI-powered product experiences, working closely with engineering, design, QA, and business stakeholders. You will drive product decisions around AI functionality, define production standards for AI systems, and manage the end-to-end lifecycle of features from concept through launch. The position requires a strong understanding of AI product development, user experience, and cross-functional collaboration in fast-paced Agile environments. Requirements 4+ years of commercial experience as a Product Manager/Project Manager Proven experience building and launching AI-powered or LLM-based products in production environments, ideally within data, analytics, automation, developer tools, or platform products. Strong understanding of modern AI concepts and workflows, including embeddings, evaluations (evals), tool calling, MCP, and the practical limitations of AI systems. Solid knowledge of Agile/Scrum practices and experience working with tools such as Jira or similar project management platforms. Experience collaborating cross-functionally with engineering, design, and QA teams in fast-paced product environments. Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. Bachelor’s degree in Computer Science, Business, Economics, or a related field. Key Responsibilities Own the product vision and roadmap for AI-powered features and experiences across the platform, managing the full product lifecycle from ideation to launch. Partner closely with engineering, design, QA, data, and go-to-market teams to drive successful product delivery and adoption. Define production standards for AI features, including quality benchmarks, evaluation frameworks, latency expectations, permissions, and fallback/failure handling. Make strategic product decisions about where AI adds the most value compared to traditional UX approaches, ensuring a seamless user experience. Drive day-to-day product execution, sprint planning, prioritization, and process improvements using Agile/Scrum methodologies. Conduct customer and market research to identify user needs, industry trends, and opportunities for innovation. Analyze product usage, customer feedback, and performance data to inform roadmap decisions and feature prioritization. Take full ownership of roadmap execution, ensuring alignment between business goals, customer needs, and technical feasibility.

🏢 Summary: Technical Product Manager role leading end-to-end delivery of AI and LLM-powered solutions integrated with SAP enterprise systems. Responsible for translating business needs into technical execution, coordinating cross-functional teams, and ensuring successful deployment from POC to MVP. Focused on integrating AI solutions within complex SAP landscapes and multi-component architectures. 🗂️ Requirements: 5+ years in product management, technical program management, or engineering leadership, Strong understanding of GenAI, LLMs, AI agents, vector databases, Experience integrating AI solutions with SAP (S/4HANA, ECC, BTP), Experience with SAP data extraction and API/OData integrations, Ability to document technical requirements and data flows, Experience coordinating complex technical deliveries, Stakeholder management with senior executives 📃 Skills: GenAI, LLM, SAP, S/4HANA, ECC, BTP, OData, APIs, VectorDB, AI, POC, MVP 🏢 Description: Technical Product Manager – AI / SAP Integration Role Overview: We are seeking a Technical Product Manager to drive AI- and LLM-powered solutions from concept to deployment. You will act as the owner of AI initiatives, translating business goals into technical execution, coordinating cross-functional teams, and keeping stakeholders aligned throughout the lifecycle. Key Responsibilities: Lead end-to-end delivery of AI/LLM use cases, from requirements and POCs to MVPs. Integrate AI solutions with enterprise systems, including SAP (S/4HANA, ECC, SAP BTP), aligning with existing processes and architecture. Collaborate closely with business stakeholders, providing updates, demos, and maintaining transparent communication. Document technical and business requirements, including data flows, transformations, and AI outputs. Coordinate developers, architects, designers, and data teams to ensure solutions meet expectations. Manage multiple initiatives simultaneously, prioritizing effectively and ensuring smooth execution. Support operational readiness until formal support structures are in place. Qualifications & Experience: 5+ years in product management, technical program management, or engineering leadership. Solid technical understanding of GenAI / LLMs, multi-component architectures, AI agents, and vector databases. Experience integrating AI solutions with SAP, including data extraction, API/OData integrations, and working with SAP functional/technical teams. Exceptional stakeholder management skills and ability to communicate effectively with senior executives. Proven track record coordinating complex technical deliveries and removing roadblocks proactively.

🏢 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

🏢 Summary: Full-time Product Manager role focused on defining and executing the roadmap for low-code/no-code builder capabilities within an enterprise AI-native SaaS platform. The position involves integrating prototypes, scaling platform features, and collaborating cross-functionally with engineering, AI, and data teams to deliver robust, configurable solutions. Requires strong technical fluency in backend systems and experience shipping infrastructure or platform services in B2B environments. 🗂️ Requirements: U.S. Citizenship, 5+ years Product Management experience in B2B SaaS, ERP, or highly configurable industry platforms, Experience shipping infrastructure or platform services, Fluency in backend systems concepts (authentication/authorization, data schemas, distributed systems), Expert-level SQL, Familiarity with Python, Experience with GitLab or GitHub, Understanding of microservices, caching, permissions models, and event systems, Familiarity with LLM-based systems and workflow tradeoffs, Bachelor's degree in business or technology-related field 📃 Skills: SQL, Python, GitLab, GitHub, Microservices, DistributedSystems, APIs, LLM, DataSchemas, Authentication, Authorization, Caching, EventSystems 🏢 Description: Job Description We are seeking an experienced product manager to build a strategy and execute against a roadmap to mature our low-code / no code builder experiences. You will be responsible for prioritizing, rationalizing, and integrating existing prototypes into the platform as well as developing new platform capabilities that serve our customers at scale. This is an individual contributor reporting to the SVP of Product. You are responsible for thinking broadly across the communities we serve and delivering solutions that provide value to a wide range of customers. You'll partner with other PMs and our engagement and implementation teams to scale "in-the-field" solutions and improve the configurability and adaptability of our platform. You should be highly motivated by striking a balance between building solutions that are robust and scalable and meeting customer needs. In order to do this job well, you must possess exceptional judgment when it comes to identifying opportunities to deliver customer value in a productized way, as well as in the relative prioritization of those opportunities. You must work effectively cross-functionally in often ambiguous circumstances, distilling market opportunities to a clear set of objectives and solutions, and articulating the value of those solutions both internally and externally. In a typical week, you could expect to: - Spend several days on site with users (internal and external), seeking to understand how users across a variety of accounts utilize Air Enterprise Readiness platform to relieve pain points and triangulate the commonalities to build new, valuable workflows in the Air Enterprise Readiness platform. - Draft clear and compelling articulation of customer problems, and what a good solution to those problems would look like in the Air Enterprise Readiness platform. - Partner with the other PMs and go-to-market team to help assess opportunities and understand the degree to which customer requirements align with product capabilities and roadmap - Define how those solutions deliver value across a wide range of customer environments and determine what features are necessary to support broad adoption of the solution. - Collaborate with engineering and design teams to deliver the most promising capabilities. - Do competitive analysis to understand what the table stakes capabilities are and what differentiators. This role may require up to 50% travel. Scope of Responsibilities - Define and prioritize the builder roadmap, balancing technical debt with high-impact UI improvements - Act as the "Internal PM" for our customer teams, ensuring they have the platform tools (APIs, UI components) they need to build faster - Spend time with power users to understand where the UI creates "friction" and translate those pains into elegant functional requirements - Partner with internal engineering, AI, and data science teams to scope the expected associated investment costs/timelines, and ensure that the business can deliver on scope, contractual obligations, and agreed-upon timelines - Facilitate market introduction of new features/functions while balancing tradeoffs of risk, cost, and speed - Ensure smooth integration of prototyped features/functions into Air Enterprise Readiness platform for utilization across customer accounts Qualifications Required Skills: - 5+ years of PM experience, specifically in B2B SaaS, ERPs, or highly configurable specialized industry platforms (e.g., FinTech, HealthTech, Construction Tech) - Fluency in backend systems concepts, including authentication/authorization models, data schemas, data orchestration systems, service contracts, and distributed system tradeoffs - Expert in SQL and familiarity with Python and GitLab/GitHub - Experience in shipping infrastructure or platform services - Fluency with technical concepts (microservices, distributed systems, caching, permissions models, data schemas, event systems, etc.) - Familiarity with LLM-based systems and the tradeoffs between deterministic workflows and agentic systems - Strong information architecture instincts, especially in configurable enterprise environments - Strong value orientation and understanding of customer needs - Self-starter with owner mentality - Growth mindset with experience in startup or growth-stage environments - Ability to thrive in a fast-paced, dynamic work environment - Exceptional written and oral communication skills - Bachelor's degree in business or a technology-related field - U.S. Citizenship is required Desired Skills: - Current possession of a U.S. security clearance, or the ability to obtain one with sponsorship - Experience in or around DoD - Experience working on low/no-code workflow or application builders Air is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

🏢 Summary: Technical Product Manager role owning data and AI-driven products, including business intelligence and embedded reporting features built on a commerce data platform. The position focuses on defining product strategy, refining AI-generated requirements, translating business needs into data models and workflows, and partnering closely with engineering. It emphasizes strong technical depth, SQL expertise, and hands-on involvement in architecture, data governance, and customer-facing solutions. 🗂️ Requirements: 5+ years of product management or equivalent experience in engineering, data, or analytics, Strong technical background with understanding of system architecture, APIs, and integrations, Proficiency in SQL, Ability to work with data models, schemas, and table-level structures, Experience translating business needs into actionable product requirements, Experience collaborating with engineering and data teams on technical or platform products, Strong problem-solving and decision-making skills, Experience engaging with customers or external stakeholders in a technical capacity, Ability to pass background check, Ability to pass credit check 📃 Skills: SQL, APIs, DataModeling, SystemArchitecture, BusinessIntelligence, Reporting, Snowflake, Sigma, AI, LangChain, DataGovernance, SemanticModeling, DataQuality, Analytics, Integrations 🏢 Description: The Technical Product Manager (TPM) is a deeply technical role focused on defining the right problems, shaping high-quality product requirements, and partnering with engineering to deliver customer-impacting solutions. This role operates within an AI-enabled product model, where initial requirements and workflows may be generated by AI. The TPM is responsible for validating, refining, and ensuring those outputs are accurate, complete, and aligned with both technical and business realities. You will own products within the data and AI portfolio, including business intelligence, embedded reporting, and AI-powered features built on top of a commerce data platform. This role requires strong product judgment, technical depth, and a clear understanding of how data structures drive product outcomes. This is not a project or delivery role. It is focused on product ownership, technical decision-making, and delivering meaningful customer value. Quick Facts - Full-time role - Background check required - Credit check required Job Responsibilities - Own specific product lines, features, or datasets within a defined domain - Define product strategy, roadmap, and lifecycle across data and AI-driven products - Validate incoming requests from sales, engineering, and customers, separating true problems from noise - Partner directly with customers and internal stakeholders to understand needs, constraints, and use cases - Refine AI-generated product requirements and workflows for accuracy, completeness, and usability - Translate complex business problems into structured workflows, data models, and decision logic - Produce clear, implementation-ready product specifications, including requirements, data contracts, and acceptance criteria - Ensure requirements reflect system architecture, dependencies, integrations, and real-world constraints - Participate in architecture and design discussions, making informed technical tradeoffs - Own embedded BI and reporting capabilities, ensuring dashboards and data products are accurate, performant, and valuable - Ensure strong data governance, including semantic consistency, data quality, and reliability across product surfaces - Collaborate closely with engineering, data, and business teams to deliver high-quality product outcomes - Stay engaged throughout execution to resolve questions, guide decisions, and ensure alignment to product intent - Incorporate production feedback and customer insights into future product iterations Required Qualifications - 5+ years of experience in product management or equivalent experience in engineering, data, or analytics roles - Strong technical background with the ability to understand system architecture, APIs, and integrations - Proficiency in SQL and the ability to work directly with data models, schemas, and table-level structures - Demonstrated ability to translate customer and business needs into clear, actionable product requirements - Experience working closely with engineering and data teams on technical or platform-based products - Strong problem-solving skills and ability to make and own decisions in high-autonomy environments - Experience engaging with customers or external stakeholders in a technical capacity Preferred Qualifications - Experience in payments, fintech, or enterprise SaaS environments - Experience building or shipping data products, analytics platforms, or BI/reporting solutions - Familiarity with modern data platforms (such as Snowflake) and BI tools (such as Sigma) - Experience working in AI-enabled or automation-driven product environments - Strong understanding of AI product principles, including semantics, grounding, and data quality - Familiarity with agentic AI frameworks or orchestration tools (such as LangChain or similar) - Experience with data governance, semantic modeling, and data quality frameworks - Strong ability to identify gaps, edge cases, and risks in product or technical designs - Experience supporting complex customer or partner integrations - Ability to influence cross-functional teams without owning delivery execution Benefits - Medical, prescription, dental, and vision coverage - Life insurance - Retirement plans with company match - Commission sharing plan - Flexible hybrid working environment - Parental and other leave programs - Opportunities for professional growth and upward mobility

🏢 Summary: Full-time AI/ML Product Manager role responsible for defining and delivering AI/ML capabilities within a defense-focused software platform. The position owns the AI/ML roadmap, translates machine learning innovations into production features, and partners cross-functionally to integrate intelligent solutions into existing workflows. Requires strong AI/ML product experience, technical fluency, and ability to drive strategy in a fast-paced environment. 🗂️ Requirements: U.S. Citizenship, 5+ years of product management experience, 3+ years focused on AI/ML or data-driven products, Experience with ML development lifecycle, Experience launching AI/ML products in production, Bachelor's degree in business or technology-related field, Ability to travel up to 40% 📃 Skills: AI, ML, MachineLearning, DataScience, ModelTraining, ModelDeployment, ModelValidation, DataPreparation, ProductManagement, MarketResearch, CompetitiveAnalysis, PRD, UserStories 🏢 Description: Company Description Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed. Job Description We are seeking a customer-obsessed product manager to drive the development and integration of AI/ML capabilities within Air Enterprise Readiness platform. This is an individual contributor role responsible for defining, prioritizing, and delivering AI/ML solutions that enhance our Applications and transform how current and future users make critical decisions. As the AI/ML Product Manager, you will own the AI/ML roadmap and therefore be accountable for identifying opportunities where artificial intelligence and machine learning can deliver meaningful value to our customers, translating complex technical capabilities into user-friendly solutions, and ensuring the successful integration of our models and algorithms into Air Enterprise Readiness platform. You will need to think strategically about how to position Air as a leader in Defense AI, identify competitive advantages and market opportunities through AI/ML capabilities, and drive strategic decisions about how AI/ML innovations differentiate Air in the marketplace. You will partner with data scientists, ML engineers, application-aligned PMs, and our engagement teams to identify high-impact use cases, define requirements for ML-powered features, and ensure seamless delivery of intelligent capabilities that scale across our customer base. In this role, you will bridge the gap between cutting-edge AI/ML research and practical defense acquisition applications. In order to do this job well, you must possess a moderate technical understanding of AI/ML methodologies and emerging technology combined with exceptional product judgment to identify opportunities where AI/ML can deliver measurable customer value. You must work effectively cross-functionally in often ambiguous circumstances, translating complex technical capabilities into clear product requirements and articulating the value of AI/ML solutions both internally and externally to non-technical stakeholders. In a typical week, an AI/ML product manager could expect to: Spend time on site with users, seeking to understand their pain points and triangulate the commonalities where AI/ML can automate manual processes, enhance decision-making, or provide predictive insights Write detailed product requirements documents (PRDs) and user stories for AI/ML features Collaborate with data science and AI/ML engineering teams to assess the feasibility of proposed solutions Partner with designers and Application PMs to integrate AI/ML capabilities seamlessly into existing Air workflows, ensuring models enhance rather than disrupt user experiences Work with the sales team to articulate the value proposition of AI/ML features to prospective customers and understand market demand for intelligent automation Define success metrics for AI/ML initiatives Scope of Responsibilities Define and communicate the AI/ML product strategy and roadmap aligned with Air's positioning, mission, and customer needs Identify and prioritize high-impact opportunities where AI/ML can transform user workflows Validate concepts using the value proposition canvas/business model canvas, build a comprehensive business case, and communicate and defend the prioritization internally Conduct market research and competitive analysis to inform AI/ML product positioning Partner with data science, AI/ML, and software engineering teams to scope the expected associated investment costs/timelines, and ensure that the business can deliver on Facilitate market introduction of new features/functions while balancing tradeoffs of risk, cost, and speed Ensure smooth integration of prototyped features/functions into Air for utilization across customer accounts This is a full-time team member position, working in one of our offices at our Arlington, VA or Pittsburgh, PA locations. This role may require up to 40% travel Qualifications U.S. Citizenship is required Required Skills: 5+ years of product management experience with at least 3 years focused on AI/ML products or data-driven solutions Experience with ML development lifecycle, including data preparation, model training, validation, deployment, and monitoring Proven track record of successfully launching AI/ML products or features in production environments Strong value orientation, understanding of what matters for our customers, and why Self-starter, owner mentality Ability to thrive in a fast-paced, dynamic work environment Exceptional written and oral communication skills across all levels of the business Bachelor's degree in business or a technology-related field Desired Skills: Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship Experience in or exposure to the nuances of a startup or other entrepreneurial environment Experience in or around the DoW Full product lifecycle experience, from early idea through production and maintenance Familiarity with the value proposition canvas and/or business model canvas frameworks Advanced degree in a business or technical field We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you. We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you. Air is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

🏢 Summary: Full-time Product Manager role focused on driving development and market adoption of the Logistics Application within an enterprise AI-native platform. The role involves defining, prioritizing, and integrating features, collaborating cross-functionally with engineering, data science, sales, and design teams, and scaling solutions across customer environments. Requires strong enterprise software experience, U.S. citizenship, and ability to travel up to 60%. 🗂️ Requirements: U.S. Citizenship, Bachelor's degree in business or technology-related field, 5+ years in product or software role, Experience with enterprise software (B2B or B2G), Ability to travel up to 60%, Strong written and oral communication skills, Ability to work cross-functionally in fast-paced environment 📃 Skills: ProductManagement, EnterpriseSoftware, Logistics, B2B, B2G, ValuePropositionCanvas, BusinessModelCanvas, DataScience, Roadmapping, MarketAnalysis 🏢 Description: Company Description Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed. Job Description We are seeking a customer-oriented product manager to help drive the development of the Logistics Application within the Air Enterprise Readiness platform. This is an individual contributor role reporting to our Director of Product for Logistics. This role is responsible for prioritizing, rationalizing, and integrating new features and existing prototypes into our Logistics Application. You are accountable for delivering valuable and differentiated solutions at scale, end-to-end, within our Air Enterprise Readiness platform. You will also partner with our sales and implementation teams to shape how we talk about our Logistics offering in the marketplace in a way that resonates with our customers. Air's application-aligned product managers are responsible for thinking broadly across the communities we serve and delivering solutions that provide value to a wide range of customers. They partner with account-aligned PMs, as well as our sales and implementation teams, to broadly scale "in-the-field" solutions and improve the configurability and adaptability of our platform. In this role, you will partner with customer-aligned PMs to integrate prototype workflows and capabilities into full production within the Air Enterprise Readiness platform. You should be highly motivated by the market adoption of the solutions you successfully launch. To do this job well, you must possess exceptional judgment when it comes to identifying opportunities to deliver customer value in a productized way, as well as in the relative prioritization of those opportunities. You must work effectively cross-functionally in often ambiguous circumstances, distilling market opportunities to a clear set of objectives and solutions, and articulating the value of those solutions both internally and externally. In a typical week, a product manager could expect to: - Spend several days on site with users, seeking to understand how users across a variety of accounts utilize Air to relieve pain points and triangulate the commonalities to build new valuable workflows in the Air Enterprise Readiness platform. - Draft a clear and compelling articulation of customer problems, and what a good solution to those problems would look like in the Air Enterprise Readiness platform. - Partner with the sales team to help assess opportunities and understand the degree to which customer requirements align with product capabilities and roadmap. - Define how those solutions deliver value across a wide range of customer environments and determine what features are necessary to support broad adoption of the solution. - Collaborate with engineering and design teams to deliver the most promising capabilities. This role is a full-time position located in our Arlington, VA office. This role may require up to 60% travel. Scope of Responsibilities For new product features, define the addressable market size, the competitive landscape, the near-term sales opportunities, and alignment with the overall product strategy Validate concepts using the value proposition canvas/business model canvas, build a comprehensive business case, and communicate and defend the prioritization internally Partner with internal engineering and data science teams to scope the expected associated investment costs/timelines, and ensure that the business can deliver on scope, contractual obligations, and agreed-upon timelines Facilitate market introduction of new features/functions while balancing tradeoffs of risk, cost, and speed Ensure smooth integration of prototyped features/functions into Air Enterprise Readiness platform for utilization across customer accounts Qualifications U.S. Citizenship is required Bachelor's degree in business or technology-related field Required Skills: 5+ years in a product or software role, including experience with enterprise software (B2B or B2G) Strong value orientation, understanding of what matters for our customers, and why Self-starter, owner mentality Ability to thrive in a fast-paced, dynamic work environment Exceptional written and oral communication skills across all levels of the business Desired Skills: Domain experience and expertise in Logistics or related fields Experience in or around DoD Full product lifecycle experience, from early idea through production and maintenance Familiarity with the value proposition canvas and/or business model canvas frameworks An advanced degree in a business or technical field Experience in or exposure to the nuances of a startup or other entrepreneurial environment Current possession of a U.S. security clearance at the Top Secret level, or the ability to obtain one with our sponsorship We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you. Air is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

🏢 Summary: Leadership role responsible for defining and executing the strategy for AI Observability products, including LLM Observability, GPU Monitoring, and Distributed AI Monitoring. The position focuses on building and scaling AI-driven products that provide deep visibility into AI systems in production while leading a team of product managers. It combines strong technical expertise in AI with product leadership to deliver innovative, data-driven solutions. 🗂️ Requirements: Proven experience in AI product management, Experience leading development and delivery of AI-driven products, Deep technical knowledge of AI technologies, Strong understanding of machine learning and data science, Experience leading and mentoring product managers, Ability to define and manage complex product roadmaps, Experience collaborating with engineering and data science teams, Ability to drive data-driven product decisions, Experience managing large-scale AI product initiatives, Demonstrated ability to use AI coding tools and validate AI-generated output 📃 Skills: AI, MachineLearning, DataScience, LLM, GPU, DistributedSystems, Observability, AICodingTools, Analytics, Modeling 🏢 Description: Datadog is seeking a Director of Product Management to lead our AI Observability portfolio and shape how organizations build, monitor, and scale AI systems in production. This role leads LLM Observability and helps define the next wave of innovation across GPU Monitoring, Distributed AI Monitoring, and emerging research-oriented tooling such as Model Lab. You will set the vision and strategy for this rapidly growing area, expanding established products while incubating new capabilities that deliver deep visibility into AI infrastructure, model performance, and distributed AI environments. As AI becomes core to modern applications, this team plays a critical role in ensuring customers can deploy and scale AI with confidence. We’re looking for a builder-minded product leader with strong technical depth and hands-on curiosity - someone who has built or worked closely with AI-powered products and understands the realities of production AI. You will lead a team of product managers and partner closely with engineering and design to advance Datadog’s leadership in AI observability. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the vision and strategy for AI-driven products, ensuring alignment with overall company goals and customer needs. This will include managing our embed program to enhance the capabilities of existing products as well as developing dedicated and independent AI products. Lead and mentor a team of product managers, helping them grow and advance their careers while ensuring the delivery of high-quality, AI-powered features. Collaborate with cross-functional teams including engineering, data science, marketing, and sales to deliver AI product solutions that meet customer needs and business objectives. Identify new opportunities for AI product innovation and drive them from concept to execution, ensuring they have a measurable impact on our customers and the business. Work closely with customers and stakeholders to deeply understand their pain points, ensuring that AI solutions are delivering tangible value and solving real-world problems. Define AI product roadmaps and manage the prioritization of features and initiatives to ensure the team’s efforts are aligned with business goals. Drive a culture of data-driven decision-making by working closely with data science and analytics teams to inform product strategy and validate assumptions. Promote a product-first mindset across the organization, ensuring that the user experience and business value are central to every product decision. Foster a culture of innovation and excellence in AI product development, ensuring that Datadog remains a leader in AI-powered observability and security solutions. Who You Are: You have proven experience in AI product management, with a track record of successfully leading the development and delivery of AI-driven products and solutions. You have deep technical knowledge of AI technologies and a strong understanding of machine learning, data science, and related fields, with the ability to translate these capabilities into compelling product experiences. You have successfully led product teams, including mentoring and developing product managers, while balancing the need for leadership and hands-on execution. You are skilled at prioritizing and delivering complex product roadmaps, balancing short-term needs with long-term strategic goals. You are experienced in collaborating with cross-functional teams, including engineering, design, data science, and business stakeholders, to deliver high-impact AI products. You have a customer-first mindset, always striving to understand and solve customer pain points through innovative AI-driven solutions. You are a strong communicator and influencer, capable of building relationships with senior leadership, engineering teams, and external stakeholders to drive alignment and move initiatives forward. You have a proven ability to manage large-scale AI product initiatives, balancing technical feasibility, user experience, and business impact. Requirement - Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output. Bonus/Plus - You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products. If you’re passionate about shaping the future of AI products and driving innovation at scale, we’d love to hear from you! Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. Benefits & Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intra-departmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds Access to Inclusion Talks, our Internal panel discussions Free, global Spring Health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$300,000—$385,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 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