Director of Product Operations

🏢 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 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 Forward Deployed Software Engineer role focused on building and delivering 0-to-1 software capabilities directly with customers in the field. The position involves end-to-end development, rapid prototyping, and close collaboration with users, product managers, and designers to solve high-impact defense-related problems. Requires on-site customer engagement and up to 50% travel. 🗂️ Requirements: U.S. Citizenship, Bachelor’s degree in Computer Science, Software Engineering, or related field or equivalent experience, 1+ years of front-end or back-end software development experience, Experience with SQL, Experience with Java and/or Typescript/React, Ability to work independently with minimal supervision, Willingness to travel up to 50% 📃 Skills: SQL, Java, Typescript, React, Frontend, Backend 🏢 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 self-starting, customer-value-oriented software engineers to join our Forward Deployed Engineering team. As a Forward Deployed Software Engineer at Air, you are accountable for building new and differentiated 0-to-1 capabilities, in the field with our customers, end to end. You are motivated by moving quickly but responsibly against urgent and compelling opportunities to deliver valuable software-driven outcomes to our customers. The idea of building something new energizes you and want to work on problems that matter, and you want to own. You understand and appreciate the value of face-to-face interactions with end users, and constantly seek to push the boundaries of what is possible. In order to do this job well, you must be a curious and eager problem solver. You must possess exceptional judgment when it comes to balancing competing priorities and making tradeoffs. You must be flexible, you must value outcomes over process, you must thrive in ambiguous environments, and above all else focus on solving valuable problems for our customers. In a typical week, the individual who fills this position could expect to: - Spend the day onsite with users, listening to problems and asking questions seeking to understand pain points - Collaborate with product managers and designers to scope, architect, and deliver 0-to-1 product initiatives and prototypes. - Build and deliver working, customer-facing prototypes. - Assess, prioritize, and correct the most important gaps in prototype solutions under development based on user feedback and in partnership with product managers - Fail often, iterate quickly, and try again This role is a full-time position located out of our office in Arlington, VA, Pittsburgh, PA, or Remote. This role may require up to 50% travel. Scope of Responsibilities Conduct customer site visits to diagnose and understand pain points Participate in the end-to-end software development of new feature functionality and design capabilities Iterate quickly to progressively unlock customer value Craft clean, testable, and maintainable code Qualifications U.S. Citizenship is required Required Skills: Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent work experience 1+ years of front-end or back-end software development experience (SQL, Java and/or Typescript/React) Ability to work independently with little supervision A burning desire to work in a challenging, fast-paced tech environment 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 working within the boundaries of a federally accredited software environment Experience in or exposure to the nuances of a startup or other entrepreneurial environment Experience working in a customer-facing or consulting role 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 Forward Deployed Software Engineer role focused on building and delivering 0-to-1 software capabilities directly with customers in the field. The position involves end-to-end development of customer-facing prototypes, close collaboration with product and design teams, and rapid iteration based on user feedback. Requires travel up to 50% and work in fast-paced, high-impact environments supporting national security initiatives. 🗂️ Requirements: U.S. Citizenship, Bachelor's degree in Computer Science, Software Engineering, or related field or equivalent experience, 1+ years of front-end or back-end software development experience, Experience with SQL, Experience with Java and/or TypeScript/React, Ability to work independently with little supervision 📃 Skills: SQL, Java, TypeScript, React, SoftwareDevelopment, Frontend, Backend 🏢 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 self-starting, customer-value-oriented software engineers to join our Forward Deployed Engineering team. As a Forward Deployed Software Engineer at Air, you are accountable for building new and differentiated 0-to-1 capabilities, in the field with our customers, end to end. You are motivated by moving quickly but responsibly against urgent and compelling opportunities to deliver valuable software-driven outcomes to our customers. The idea of building something new energizes you and want to work on problems that matter, and you want to own. You understand and appreciate the value of face-to-face interactions with end users, and constantly seek to push the boundaries of what is possible. In order to do this job well, you must be a curious and eager problem solver. You must possess exceptional judgment when it comes to balancing competing priorities and making tradeoffs. You must be flexible, you must value outcomes over process, you must thrive in ambiguous environments, and above all else focus on solving valuable problems for our customers. In a typical week, the individual who fills this position could expect to: - Spend the day onsite with users, listening to problems and asking questions seeking to understand pain points - Collaborate with product managers and designers to scope, architect, and deliver 0-to-1 product initiatives and prototypes. - Build and deliver working, customer-facing prototypes. - Assess, prioritize, and correct the most important gaps in prototype solutions under development based on user feedback and in partnership with product managers - Fail often, iterate quickly, and try again This role is a full-time position located out of our office in Arlington, VA, Pittsburgh, PA, or Remote. This role may require up to 50% travel. Scope of Responsibilities Conduct customer site visits to diagnose and understand pain points Participate in the end-to-end software development of new feature functionality and design capabilities Iterate quickly to progressively unlock customer value Craft clean, testable, and maintainable code Qualifications U.S. Citizenship is required Required Skills: Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent work experience 1+ years of front-end or back-end software development experience (SQL, Java and/or Typescript/React) Ability to work independently with little supervision A burning desire to work in a challenging, fast-paced tech environment 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 working within the boundaries of a federally accredited software environment Experience in or exposure to the nuances of a startup or other entrepreneurial environment Experience working in a customer-facing or consulting role 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: Full-time Data Platform Engineer role focused on designing, building, and scaling cloud-based data platforms that support AI/ML, data science, and software teams. The position involves architecting data pipelines, enhancing platform reliability and scalability, and integrating modern big data and cloud technologies. The role requires hands-on expertise in data infrastructure and close collaboration with cross-functional stakeholders. 🗂️ Requirements: U.S. Citizenship, Bachelor's degree in Computer Science, Mathematics or related field, 5+ years building and maintaining scalable data platforms or services, Strong proficiency in Python, Strong proficiency in SQL, Experience architecting and implementing data pipeline frameworks, Experience with workflow orchestration, Hands-on experience with Apache Spark or similar big data frameworks, Knowledge of cloud-native data lake or lakehouse architectures, Understanding of data security and governance best practices, Experience collaborating with stakeholders to deliver data solutions, Ability to work with large-scale datasets (terabytes) 📃 Skills: Python, SQL, Spark, AWS, DataLakes, Lakehouse, ETL, Orchestration, Cloud, AI, MachineLearning, DataScience 🏢 Description: Company Description Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions. 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 Govini 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. Govini 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 NLP expert role focused on designing, building, and productionizing machine learning models that transform natural language data into intelligent features and search capabilities within a SaaS analytics platform. The position involves integrating state-of-the-art LLMs, developing scalable algorithms, and deploying production-ready models to enhance user decision-making. Based in Pittsburgh, PA with up to 10% travel. 🗂️ Requirements: U.S. Citizenship, Advanced degree or Bachelor’s degree with 3+ years in Data Science, Machine Learning, or related field, Minimum 3 years hands-on experience developing NLP models, Strong knowledge of NLP text representation and semantic extraction techniques, Experience building and productionizing supervised and unsupervised ML models, Advanced Python programming skills, Advanced SQL query skills, Experience developing and integrating production-ready ML models 📃 Skills: Python, SQL, NLP, MachineLearning, LLM, Transformers, Kubernetes, DataStructures, SupervisedLearning, UnsupervisedLearning 🏢 Description: Company Description Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions. 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 Govini 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 Ark.ai 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. Govini 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 to build and scale the engineering function for an early-stage, perimeter-safe data lineage and migration impact-analysis platform serving regulated enterprises. You will own delivery, quality, security readiness, and roadmap execution while partnering with the Chief Architect and leading a distributed team. This is a hands-on player-coach position focused on bringing engineering discipline and enterprise-grade maturity to a growing product. 🗂️ Requirements: Engineering leadership experience managing and growing teams, Hands-on technical depth in data platforms, metadata, backend or platform engineering, Experience building or rebuilding engineering functions in early-stage environments, Experience implementing testing, QA, CI/CD and release processes, Experience leading distributed or offshore teams, Knowledge of security and compliance practices (SOC 2, audit logging, SSO, secure deployment), Strong practical use of AI in engineering workflows, Authorization to work in the U.S. without visa sponsorship, Residence in an eligible U.S. state 📃 Skills: Data, Metadata, Backend, CI/CD, DevOps, QA, Containerization, Infrastructure-as-code, SOC2, SSO, AI, Security, Compliance, Audit, DevOps, Versioning 🏢 Description: Lead the engineering function behind an early-stage, perimeter-safe data lineage and migration impact-analysis platform for regulated enterprises. Description We are hiring a Director of Engineering to lead and grow the engineering organization behind a working product that is becoming a standalone business. This is a build-focused role where you will own delivery, quality, security readiness, engineering process, and execution of the technical roadmap, partnering closely with the Chief Architect. What You'll Work On - Lead a distributed engineering team across platform/product engineering, connectors, QA, DevOps/infra, AI implementation, data governance, and support. - Own delivery, quality, release discipline, and execution of the technical roadmap. - Implement automated testing, QA, CI/CD, release governance, and versioning. - Drive repeatable, perimeter-safe deployments including containerization, infrastructure-as-code, secure deployment, and SOC 2 readiness. - Partner on the connector framework, canonical metadata model, architecture decisions, and product IP. - Assess current talent, retain strong contributors, hire to fill gaps, and align the team to the roadmap. - Promote practical AI usage across coding, review, testing, operations, and engineering productivity. What You'll Bring - Experience leading and growing engineering teams, owning delivery, and shipping products. - Hands-on technical depth in data platforms, metadata, backend systems, or platform engineering. - Experience building or rebuilding engineering functions in startup or early-stage environments. - Experience implementing testing, QA, CI/CD, and release practices. - Experience leading distributed or offshore teams. - Security and compliance literacy for regulated environments, including SOC 2, audit logging, SSO, data security, and secure deployment. - Strong AI fluency with practical application across engineering workflows. How You Work - Player-coach mindset with ability to go deep technically and ship pragmatically. - Comfortable operating with incomplete information and defining direction. - Ability to improve quality, process, and security without slowing momentum. Bonus Points - Experience maturing early-stage products to enterprise-grade. - Background in regulated industries such as financial services, insurance, healthcare, or government. - Familiarity with perimeter or on-prem deployment, lineage, metadata, graph data, or migration impact-analysis. What Success Looks Like - Clear team ownership and strong delivery rhythm with a credible roadmap-to-release model. - Testing, QA, CI/CD, release governance, and versioning in place without slowing product momentum. - Progress toward enterprise-grade readiness for regulated buyers. - Trusted partnership with the Chief Architect and credible leadership across engineering and executive stakeholders. Additional Requirements - Must be authorized to work for any employer in the U.S. (no visa sponsorship available). - Must reside in one of the following U.S. states: AL, AR, AZ, CA, CO, CT, DE, FL, GA, IA, ID, IL, IN, KS, MA, MD, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, TN, TX, VA, WI, or Washington DC.

🏢 Summary: Design Lead role owning end-to-end product design for an early-stage, data-dense enterprise platform focused on data lineage and migration impact analysis in regulated environments. The position combines product thinking and hands-on design to translate complex technical workflows into clear, trustworthy experiences for both technical users and senior stakeholders. You will shape product direction, build a scalable design system, and leverage AI across the design lifecycle. 🗂️ Requirements: Senior or lead-level product design experience in enterprise or B2B SaaS environments, Proven experience designing complex, data-dense interfaces (dashboards, graphs, visualizations, enterprise tools), Strong product thinking with influence on product direction and prioritization, End-to-end ownership of a design system including components, standards, and adoption, Experience collaborating closely with product and engineering teams from concept to launch, Experience building or establishing a design function or standards from scratch, Demonstrated use of AI in practical design workflows, Authorization to work in the U.S. without visa sponsorship, Residence in an eligible U.S. state 📃 Skills: UX, UI, ProductDesign, DataVisualization, InformationDesign, DesignSystems, Prototyping, UserResearch, SaaS, B2B, AI, Dashboards, GraphVisualization 🏢 Description: Own product design for an early-stage, data-dense platform built for regulated enterprises. We are hiring a Design Lead to own product design for a perimeter-safe data lineage and migration impact-analysis platform for regulated enterprises. This is a real, working product becoming a standalone business. This is a build. This is not a pure UI/UX role. You will think like a product manager, start from the customer problem, help shape what we build and why, and make complex technical information clear and trustworthy. Quick Facts - Early-stage, standalone product build - Focus on regulated enterprises - Data lineage and migration impact-analysis platform What You'll Work On - Own the end-to-end product design vision for a data-dense enterprise platform. - Translate complex lineage, migration impact, governance, and blast-radius workflows into clear, navigable product experiences. - Partner closely with Product and Engineering to define what gets built, for whom, and why. - Design for two audiences at once: technical users who need depth and senior stakeholders who need confidence in decisions. - Build and maintain the design system, set the quality bar, and create repeatable standards for future product surfaces. - Run user discovery and research; turn what you learn into product direction, design decisions, and prioritization input. - Use AI across the design workflow, including research synthesis, ideation, prototyping, iteration, and productivity. What You'll Bring - Senior or lead-level product design experience in enterprise, B2B SaaS, or similarly complex product environments. - Strong product thinking; experience influencing what gets built and why. - A portfolio with complex, data-dense interfaces made simple: dashboards, graphs, visualizations, technical workflows, or enterprise tools. - Strong information-design and data-visualization instincts. - End-to-end ownership of a design system, from components and standards through adoption and maintenance. - Fluency working directly with product and engineering teams, taking ideas from zero to shipped. - Experience building a design function, practice, or product design standard from scratch. - AI fluency, with concrete examples of AI use in real design work and measurable results. How You Work - Customer-problem first mindset. - Player-coach approach: hands-on while setting quality standards. - Ability to operate in ambiguity and define direction with incomplete information. - Ability to raise the design bar while maintaining delivery speed. Bonus Points - Experience designing for technical users such as developers, data engineers, analysts, or platform teams. - Familiarity with lineage, graph visualization, data governance, migration impact analysis, or metadata products. - Exposure to regulated-industry products such as financial services, insurance, healthcare, or government. What Success Looks Like - Product experience makes complex lineage and impact information easier to understand, trust, and act on. - Clear design vision and practical design system adopted by the team. - User research informs product decisions. - Trusted partnership with Product, Engineering, and business stakeholders. Additional Requirements - Applicants must be authorized to work for any employer in the U.S.; no visa sponsorship available. - Candidates must reside in one of the specified U.S. states to be eligible for consideration.