Senior Product Manager AI

🏢 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: Full-time Data Product Manager role focused on integrating and managing government data systems within a software platform supporting defense acquisition. The position involves developing a government data roadmap, defining integration plans, and collaborating with product, engineering, security, and go-to-market teams. Requires strong technical expertise in data systems, programming, and experience working with government clients. 🗂️ Requirements: U.S. Citizenship, Bachelor's degree in Product Management, Data Analysis, Data Science, Computer Science, Information Systems, or related field, 4+ years experience working with government data systems, 4+ years experience with SQL, Python, or equivalent programming language, Experience with Generative AI technologies, Strong analytical and problem-solving skills, Ability to communicate complex technical information clearly, Ability to collaborate across technical and non-technical teams 📃 Skills: SQL, Python, GenerativeAI, DataAnalysis, DataScience, DataIntegration, DataGovernance, InformationSystems 🏢 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 Data Product Manager for Government Systems to join our Data Product & Operations team. In this role you will take ownership of mapping, prioritizing and tracking the integration of government data systems into Air Enterprise Readiness platform. Working with our go-to-market teams including Sales, Implementation Engineers, and Engagement Managers, you'll learn about and become an expert of key government data systems that are critical to our customers day-to-day workflows. You will synthesize and convey the nuances and uses of each system to our Product team which will help inform workflow development within Air Enterprise Readiness platform. These data systems will inform Air's data integration plan, which you will develop, document, and maintain. You will also work with both the engineering and security accreditations teams to develop technical implementation plans for each data system. This role requires cross-team collaboration, strong communication skills, across both technical and non-technical audiences. The ideal candidate brings hands-on experience working with government clients and users, along with the ability to understand data systems at a technical level. This role is a full-time position located out of our offices in Arlington, VA. This role will require between 25-50% travel. Scope of Responsibilities Develop and maintain the government systems data roadmap that identifies priority systems aligned with current and future data needs Partner with Go-To-Market and Product teams to understand and document capabilities, uses of, customers/users of, and data contained within each targeted data system Identify and document overlap and gaps to current data coverage and align with planned data expansions Attend technical-focused customer meetings and engagements to learn more about each data system and perform customer interviews Partnering with the Security Accreditations team, develop standard internal procedures for data access and governance with each system Qualifications U.S. Citizenship is required Required Skills: Bachelor's degree in Product Management, Data Analysis, Data Science, Computer Science, Information Systems, or a related field Four or more years of experience working with government data systems Four of more years experience with SQL, Python, or equivalent programmatic language Excellent verbal and written communication skills, with the ability to convey complex information clearly and concisely Strong analytical and problem-solving abilities, with attention to detail Experience with Generative AI technologies 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 Masters's degree in Product Management, Data Science, Computer Science, Information Systems, or a related field 3+ years experience with government data systems such as JUPITER, ADVANA, BLADE, or other systems Familiarity with defense acquisition processes and related data sources Experience managing data-related projects and initiatives 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 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: Full-time Natural Language Processing expert role focused on designing, developing, and productionizing NLP and machine learning models to enhance a data analytics SaaS platform. The position involves transforming unstructured text into scalable, production-ready features, integrating state-of-the-art LLMs, and improving search functionality. The role requires strong Python, SQL, and ML expertise, with collaboration across engineering and data teams. 🗂️ Requirements: U.S. Citizenship, Advanced degree or Bachelor's with 3+ years in Data Science, Machine Learning, or related field, Minimum 3 years hands-on experience developing NLP models, Strong knowledge of NLP methods for text representation and semantic extraction, Experience building and productionizing supervised and unsupervised ML models, Advanced proficiency in Python, Advanced SQL skills, Ability to collaborate across technical teams 📃 Skills: Python, SQL, NLP, MachineLearning, LLM, Kubernetes, Transformers, DataStructures 🏢 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 Natural Language Processing expert to join our team and help us build cutting-edge machine learning technology that will replace complex, time-consuming, manual processes with automation and intelligence that helps Air end-users make scientific and analytical decisions. We're looking for world-class talent to join our team where you will have the opportunity to help develop a wide range of solutions that transform natural language data into useful features for classification algorithms, as well as implement the latest technology to improve user search functionality. In order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed models and solving problems in an ambiguous space. You share our intolerance of mediocrity. You're uber-smart, challenged by figuring things out and producing simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You're scrappy. We like scrappy. This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 10% travel Scope of Responsibilities Inform and implement the design and development of NLP applications to enhance the intelligence and efficiency of our data analytics software-as-a-service platform Review, verify, and aggregate the most appropriate annotated datasets for the best-supervised learning methods Ability to work with taxonomy experts to create and validate dataset annotation Use well-formed and effective text representation to change and adapt natural language documents into user-friendly features implement the latest technology to improve user search functionality as well as integrate state of the art LLM models into our Air Enterprise Readiness platform to enhance user experience. Develop new algorithms and modeling techniques and conduct sound experiments to verify model results and integrate models into the live production system Establish meaningful criteria for evaluating algorithm performance and suitabilityImplement working, scalable, production-ready models and code Keep up to date with Machine Learning best practices and evolving open-source frameworks Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks Collaborate closely with fellow taxonomists, software engineers, data scientists, data engineers, and QA engineers Qualifications U.S. Citizenship is required Advanced degree, or bachelor's with at least 3 years of experience, in Data Science, Machine Learning or a related field Required Skills: Minimum 3 years experience with hands-on development of NLP models In-depth understanding of NLP methods for text representation, semantic extraction techniques, data structures, and modeling Practical experience in building, developing, and productionizing both supervised and unsupervised machine learning models Advanced software skills in Python Advanced ability in forming SQL queries A strong desire to learn, investigate, and implement cutting-edge technologies Ability to work collaboratively throughout the design process. 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 deploying ML models in Kubernetes environments Experience developing custom training sets for large language models Experience productionizing transformer-based models 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 Data Platform Engineer role focused on designing and scaling cloud-based data platforms that power AI/ML and analytics solutions for government market intelligence. The position involves building and maintaining data pipelines, enhancing platform architecture, and collaborating cross-functionally to deliver secure, reliable, and high-quality data solutions. Based in Pittsburgh with limited travel, this role requires strong expertise in Python, SQL, big data frameworks, and cloud-native architectures. 🗂️ Requirements: U.S. Citizenship, Bachelor's degree in Computer Science, Mathematics or related technical field, 5+ years experience building and maintaining scalable data platforms or services, Strong proficiency in Python, Strong proficiency in SQL, Experience architecting and implementing data pipeline frameworks including orchestration, Understanding of data security and governance best practices, Hands-on experience with big data frameworks, Knowledge of cloud-native data lake or lakehouse architectures, Ability to support AI, machine learning, data science, and web application data needs 📃 Skills: Python, SQL, Apache, Spark, AWS, AI, MachineLearning, DataScience, DataPipelines, Cloud, DataLake, Lakehouse 🏢 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 an exceptional and experienced data platform engineer who shares our passion and obsession with quality. You'll be a core member of our product and engineering team dedicated to helping our clients replace time-consuming, manual processes to reach informed, real-time decisions about government markets, competitors, and agency relationships. We need a skilled and dedicated engineer to join our team to lead us in uncovering truth and meaning in data. You must be hands-on with a strong understanding of both data platforms and cloud infrastructure. You must also have strong interpersonal skills to work cross-functionally across internal teams as well as directly with end users and Air platform SMEs. In order to do this job well, you must be a curious and eager problem solver with a hunger for delivering high-quality data solutions. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity and produce simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 10% travel Scope of Responsibilities Design and implement platform architecture enhancements to support scalability and reliability Design, build, maintain, and support data platform solutions to enable efficient data consumption across functional teams, including AI/ML, Data Science, and Software Evaluate and integrate emerging technologies to improve the data platform Collaborate with teams across the organization to understand business needs and translate them into data solutions Mentor junior engineers by providing code reviews, guidance, and technical leadership through promotion of engineering best practices Qualifications U.S. Citizenship is required Bachelor's degree in Computer Science, Mathematics or a related technical field Required Skills: 5+ years of experience in building and maintaining scalable data platforms or services Strong proficiency in Python and SQL Proven experience in architecting and implementing data pipeline frameworks, including orchestration Solid understanding of data security and governance best practices Hands-on with big data frameworks, such as Apache Spark Knowledge of cloud-native data lake/lakehouse architectures Demonstrated ability to collaborate with stakeholders to deliver data platform solutions that support AI, machine learning, data science, and web applications Strong analytical skills and attention to detail Ability to work independently in a fast-paced environment A passion for solving complex problems and building sustainable, scalable systems Desired Skills: Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship Experience using Amazon Web Services Experience in or exposure to the nuances of a startup or other entrepreneurial environment Working knowledge of large (multiple terabytes) amounts of data 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: 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: Leadership role responsible for defining and delivering AI-driven product strategy and roadmap, including embedded and standalone AI capabilities. The position leads a team of product managers and collaborates cross-functionally to build scalable AI observability and security solutions. Focused on driving innovation, data-driven decision-making, and measurable business impact through AI products. 🗂️ Requirements: Proven experience in AI product management, Track record of delivering AI-driven products, Deep knowledge of AI and machine learning, Strong understanding of data science concepts, Experience leading and mentoring product managers, Experience managing complex product roadmaps, Experience collaborating with engineering and data science teams, Ability to drive data-driven product strategy, Experience managing large-scale AI initiatives 📃 Skills: AI, MachineLearning, DataScience, Analytics, Observability, Security, SaaS, ProductManagement, Roadmapping 🏢 Description: The Applied AI Products organization at Datadog is responsible for delivering AI-driven solutions that power the next generation of our product offerings. We are looking for a Director of Product Management to lead and shape the roadmap and delivery of AI-driven product capabilities at Datadog. In this role, you will bring a combination of technical expertise, product management experience, and an understanding of AI technologies to help position Datadog as a leader in the AI observability and security space. You will lead a team of product managers and collaborate with senior leadership in engineering and design. 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. 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.Datadog 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: Full-time Delivery Operations Analyst role focused on managing delivery systems, operational workflows, reporting dashboards, and cross-functional process alignment in a high-growth B2G environment. The position requires strong analytical, CRM/CSP, and data visualization skills to support executive reporting and delivery operations. Based in Arlington, VA with up to 10% travel. 🗂️ Requirements: U.S. Citizenship, Bachelor’s degree in Business, Finance, Data Science, Economics or similar field, or equivalent experience, 3–5 years of experience in Revenue Operations, Sales/Delivery Enablement, Professional Services, or Project Management, Proficiency with CSP or CRM platforms, Experience with data analysis and reporting, Advanced skills in Tableau, PowerBI, Excel, or Google Sheets, Strong written and verbal communication skills, Ability to create training materials and present complex information clearly 📃 Skills: Salesforce, HubSpot, Gainsight, Planhat, Tableau, PowerBI, Excel, Sheets, CRM, CSP, Lean, SixSigma 🏢 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 detail-oriented, proactive and expeditious Delivery Operations Analyst to act as the analytical and procedural engine behind our deployment success. In this highly cross-functional, individual contributor role, you will manage the operational frameworks, systems, and data that keep our Delivery team running effectively. You will own the post sale systems of record for the delivery lifecycle, ensuring strict data hygiene and adherence to process. You will be responsible for translating complex implementation data into clear, actionable reporting for the executive and management teams. The ideal candidate is a highly analytical process engineer who loves diving into data, identifying operational bottlenecks, and building scalable workflows in a high-growth B2G environment. This role is a full-time position located out of our office in Arlington, VA and may require up to 10% travel. Scope of Responsibilities • System of Record Ownership: Serve as the primary owner and administrator for the systems, tools, and platforms used by the Delivery team. Ensure strict adherence to data entry protocols and maintain pristine data quality across the delivery lifecycle. • Executive Reporting & Analytics: Design, build, and maintain accurate reporting dashboards. Provide executive leadership and management with real-time visibility into key delivery metrics, including WAU and deployment health/at-risk accounts. • Change Management: Champion process adherence across the Delivery team. Train team members on new tools, system updates, and workflow changes, ensuring high adoption rates and consistent execution. • Process Improvement & Engineering: Continuously audit and analyze current delivery workflows to identify inefficiencies or friction points. • Cross-Functional Alignment: Act as the operational connective tissue between Delivery, Revenue Operations and Product. Ensure seamless data flow, accurate handoffs, and alignment across departments. Qualifications & Skills U.S. Citizenship is required. Bachelor's degree program in Business, Finance, Data Science, Economics, or similar fields, or 1-4 years of equivalent experience. Required: • 3–5 years of experience in Revenue Operations, Sales/Delivery Enablement, Professional Services, or Project Management • Strong proficiency with CSP and/or CRM software such as Salesforce, HubSpot, Gainsight, and Planhat • Ability to pull reports, analyze data, and translate operational metrics into actionable insights • Advanced skills in Tableau, PowerBI, Excel, or Google Sheets • Exceptional written and verbal communication skills • Ability to present complex information clearly and create engaging training materials Desired: • Certifications in process improvement such as Lean Six Sigma or system administration such as Salesforce Certified Administrator • Prior experience operating in the defense technology, federal contracting, or government SaaS space 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 Data Engineer role focused on leading the data lifecycle strategy, transforming and governing large-scale datasets, and integrating advanced analytics and machine learning models into a production data infrastructure. The position involves building high-quality, traceable data architectures and enabling real-time, data-driven decisions for government-related markets. Based in Pittsburgh, PA, with limited travel requirements. 🗂️ Requirements: U.S. Citizenship, Bachelor’s degree in Computer Science, Mathematics, or related technical field, 3–5 years of experience programmatically transforming data, Experience with RDBMS, Advanced SQL programming skills, Proficiency with CSV, XML, and JSON data formats, Strong analytical skills and attention to detail, Ability to work independently with minimal supervision 📃 Skills: SQL, RDBMS, CSV, XML, JSON, AWS, DataModeling, DataGovernance, ETL, MachineLearning 🏢 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 an exceptional and experienced data engineer who shares our passion and obsession with quality. You'll be a core member of our product and engineering team dedicated to helping our clients replace time-consuming, manual processes to reach informed real-time decisions about government markets, competitors, and agency relationships. We need a skilled and dedicated data engineer to join our team to lead us in uncovering truth and meaning in data. You must be a hands-on engineer with a strong understanding of both data management and governance standards. You must also have strong interpersonal skills to work cross-functionally across internal teams as well as directly with end users and platform SMEs. This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 10% travel. Scope of Responsibilities Define and lead the data lifecycle strategy across data acquisition, data ingestion, data cleansing, normalization and linkage. Ensure key entities within datasets are identified, resolved and linked to existing entities within the current master data repository. Apply various techniques to produce solutions to large-scale optimization problems, including data pre-processing, indexing, blocking, field and record comparison and classification. Improve data sharing, increase data repurposing and improve cost efficiency associated with data management efforts. Build best practices that help with chain of custody of data so it can be easily traced back to the source for accuracy and consistency. Work across functional teams to understand advanced statistical, machine learning, and text processing models and incorporate them into the existing data engineering infrastructure. Perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns. Work directly with users as well as SMEs to establish, create and populate optimal data architectures and structures, as well as articulate techniques and results using non-technical language. Qualifications U.S. Citizenship is required. Bachelor's degree in Computer Science, Mathematics or a related technical field. Required Skills: 3-5 years experience with programmatically transforming data. Experience with RDBMS. Advanced SQL programming skills. Proficient usage of common data formats such as CSV, XML, and JSON. Strong analytical ability and attention to detail. Ability to work independently with little supervision. Desired Skills: Current possession of a U.S. security clearance, or the ability to obtain one with sponsorship. Experience using Amazon Web Services. Working knowledge with large (multiple terabytes) amounts of data. 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: 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.