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Job Description Job Description ABOUT LVT LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first mobile, solar-powered units, our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions-from our physical units in the field to a powerful Agentic AI platform-that allows our customers to gain unprecedented visibility and control over safety, compliance, and operations. This is your chance to join a cutting-edge team that isn't just watching the world change, but actively building the technology that is changing it. We're a team that's focused on growth and innovation, and we're proud that our crew, products, and leadership are being recognized for it. A Top-Tier Growth Company: Named one of the Financial Times' Fastest Growing Companies 2025 and on the Inc. 5000 Rocky Mountain Regional list for 2025. Innovative Leadership: Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025 , and our CTO, Steve Lindsey, was inducted into the Silicon Slopes CTO Hall of Fame in 2024. Product & Software Excellence: We were named one of The Software Report's Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025. ABOUT THIS ROLE At LVT, application security isn't an internal formality or a late-stage gate. We run a multi-tenant cloud platform, AI-driven video analytics, and license plate recognition pipelines, and we deploy thousands of solar-powered units everywhere from remote utility sites to busy retail parking lots, where anyone can walk up and touch the hardware. A tenant isolation bug, an unsigned firmware update, or a flaw in our analytics isn't just a ticket. It's a customer incident, a potential public headline, and a threat to public trust. We don't block innovation; we make high-speed execution safe. We are seeking a Senior Manager, Application Security to own product security end-to-end across LVT's physical and digital architecture. This is a player-coach role: you will manage and mentor our existing application security engineers, hire 1-2 additional security engineers, and launch a Security Champions program across product teams. Reporting to our Director, Security Engineering, you will earn a standing seat in product and engineering planning, frame risk so clearly that engineering leaders take ownership of it, and design guardrails that make the secure path the easiest path. If you'd rather build the program than police it, this role offers direct organizational impact. This role is based full-time in-office out of our Headquarters in American Fork, Utah. ROLE RESPONSIBILITIES Team Leadership: Directly manage and mentor current AppSec engineers, hire and onboard 1-2 security engineers, and launch a cross-functional Security Champions program that scales your impact across every engineering squad. Product Security Ownership: Set the architecture and standards for LVT's full attack surface, from our multi-tenant cloud platform and partner APIs to mobile clients, computer vision pipelines, and solar-powered edge firmware. Engineering Partnership: Hold a standing seat in product design and planning, turning security risks into prioritized backlog items that engineering teams own and ship. Threat Modeling at Scale: Make threat modeling a core muscle that engineering squads run independently. Train teams on the fundamentals while staying hands-on for high-stakes system designs and edge/hardware boundaries. Tenant Isolation: Define, enforce, and test tenant boundaries across all platform services, deploying automated checks so cross-tenant data leaks never reach production. Secure SDLC Automation: Build security into CI/CD pipelines as code (SAST, SCA, secrets detection, IaC policy), delivering developer feedback in minutes, not sprints, with low noise and clear build-break rules. Edge & Firmware Security: Partner with hardware and embedded teams on device boot security, signed OTA update pipelines, edge credential management, and threat models that assume physical access. AI/ML & Analytics Security: Safeguard our AI vision models, prompt boundaries, and data pipelines against abuse, keeping privacy-by-design at the forefront in a regulated and publicly scrutinized space. AI-Assisted Development Standards: Define guardrails for how LVT engineers use AI coding agents, ensuring AI-generated code meets our standards for safety, testing, and architecture. Compliance as Engineering Artifacts: Turn real product security controls into audit evidence for SOC 2, GovRAMP, FedRAMP, and CJIS through native engineering workflows instead of manual compliance exercises. Incident Response & Disclosure: Oversee external vulnerability intake, triage, and coordinated disclosure (VDP/bug bounty), and lead engineering response to product security incidents. Observability & Systemic Defenses: Partner with SecOps to instrument telemetry for authorization failures and edge abuse, turning incident learnings into root-cause controls. OUR IDEAL CANDIDATE The Player-Coach Mindset: 10+ years in AppSec or product security, including significant time as a hands-on engineer and 4+ years as a people manager or formal technical lead. You still read code, build automation, and hold your own in architecture reviews with principal engineers. Engineering Empathy: You know what it takes to ship software. You've carried a pager, hit deadlines, or maintained a release pipeline. You understand why shortcuts happen and spend your political capital wisely. Cross-Functional Influencer: You can point to releases or system architectures that changed because of an argument you made, and explain how you earned buy-in without pulling rank. Cloud & SaaS Depth: Deep technical grounding in multi-tenant authorization, zero-trust architectures, and API security at scale. Tooling & Code Fluency: Fluent in at least one language in our stack (e.g., Python, Go, TypeScript/Node, C/C++), with the ability to write custom automation, tooling, and CI integrations. Hardware & Firmware Exposure: Familiarity with IoT, embedded platforms, hardware security modules, or OTA update validation, or a proven ability to master physical attack surfaces quickly. AI/ML Security Literate: Understanding of model supply chain risks, data handling during inference, and security reviews for AI-augmented features. Metrics-Driven: You know the difference between a tool and a program. You measure success by coverage, adoption, defect recurrence, and remediation velocity. Location: Based onsite out of our headquarters in American Fork, Utah. Bonus Points: Experience in video streaming, computer vision, or physical safety products; hands-on work in regulated spaces (FedRAMP, GovRAMP, StateRAMP, CJIS); a track record scaling a formal Security Champions program or running a VDP/bug bounty. BENEFITS We believe you do your best work when your whole life is supported. We invest in our crew's health, families, and financial futures with a benefits package designed to support you inside and outside the office. Full-time benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO. LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.

Job Description Title; Data Security Engineer / Cyera DSPM specialist Location: Princeton NJ - Onsite Contract Role Summary Own the end-to-end technical design, deployment, integration, configuration, and operation of the Cyera DSPM platform across AWS, GCP, Azure, enterprise data platforms, and Microsoft 365. The role establishes the classification taxonomy and business glossary, deploys and operates Cyera Outpost, onboards priority data sources, develops and tunes classifiers and topics, integrates security and governance platforms, monitors service health, triages findings, and supports remediation while ensuring raw data remains within the company environment. Key Responsibilities: Design and own the enterprise data classification taxonomy, including custom classes for business-specific data not covered by out-of-the-box classifiers. Define the business glossary structure, map platform schemas and metadata to the taxonomy, and facilitate validation workshops with data stewards, Legal, GRC, and business stakeholders. Architect, provision, and operate Cyera Outpost across AWS, GCP, and Azure, including regional deployment, private connectivity, capacity planning, scaling, patching, upgrades, monitoring, and troubleshooting. Configure AWS PrivateLink, GCP Private Service Connect, Azure Private Endpoint, IAM roles, service accounts, and service principals using least-privilege principles. Build and maintain Terraform-based infrastructure-as-code, operational runbooks, integration prerequisites, and support documentation. Prioritize and onboard data sources across Databricks, Snowflake, Microsoft Fabric, Microsoft 365, cloud storage, and other enterprise platforms. Partner with platform and data owners to establish approved access patterns, resolve connectivity and permission issues, and improve metadata quality. Prepare representative and labeled sample data sets for classifier design, validation, tuning, and accuracy measurement. Configure the Cyera tenant, run baseline scans, assess coverage gaps, and monitor platform health, scan execution, and Outpost connectivity. Develop and tune custom classifiers using regex, keyword and proximity logic, exact data match, fingerprinting, and ML-based methods. Design context-aware topics that combine classifiers, metadata, access, and risk signals; test accuracy against agreed thresholds and track false positives and false negatives. Design, configure, and test integrations with Wiz, Data.World, IAM, SIEM/SOAR, data catalog, governance, lineage, and backup-tagging processes. Triage findings, support remediation workflows, document operational handoffs, and collaborate with security operations and incident response teams when required. Lead recurring taxonomy, glossary, data-source coverage, and platform-governance reviews, and maintain alignment with internal policies and applicable regulatory frameworks.

Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for the most important business processes at the world's largest organizations . click apply for full job details

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Shield AI builds trusted autonomy for national-security space missions. The Chief Engineer, Autonomy - Space Domain is the senior technical authority responsible for defining, delivering, and sustaining autonomy capabilities that convert distributed space, ground, and payload resources into timely, decision-quality data products. This leader owns the technical vision, system architecture, execution rigor, risk posture, verification strategy, and operational readiness of the space-autonomy solution across its lifecycle: concept development, integration, test, launch/commissioning support where applicable, on-orbit operations, software updates, and mission evolution. The role ensures that autonomy performs reliably across multi-constellation and multi-orbit mission environments, supports resilient operation in constrained or contested conditions, and delivers usable information to mission users at operational tempo. This is not a research position. This is a position focused on delivering mission-ready autonomy systems that perform in real-world operational environments. What You'll Do: Serve as the senior technical authority for space-domain autonomy, accountable for mission architecture, software/system design, technical execution, product quality, technical risk, verification evidence, and customer technical confidence. Define and evolve an autonomy architecture that supports end-to-end tasking, collection, processing, exploitation, and dissemination across a heterogeneous space enterprise, including satellites, hosted payloads, ground systems, mission applications, communications networks, cloud/edge compute, and external data sources. Lead the development of automatic and autonomous behaviors for multi-constellation and/or multi-orbit tasking, including prioritization, scheduling, replanning, resource allocation, coordination, conflict resolution, and response to dynamic mission demands. Define technical approaches for autonomously selecting, cueing, configuring, and coordinating collection from all relevant payload classes, as applicable to mission needs, including but not limited to: electro-optical/infrared, AIS, SAR, RF, SIGINT, communications, environmental, navigation, or third-party/partner payload sources. Architect and govern hybrid on-board and off-board processing strategies. Establish decision criteria for where inference, data reduction, fusion, storage, prioritization, and dissemination functions execute, accounting for latency, bandwidth, compute, power, thermal constraints, availability, security, mission priority, and degraded communications. Lead the technical design of advanced exploitation capabilities, including automated triage, sensor fusion, event detection, object/activity characterization, change detection, anomaly detection, provenance, confidence estimation, and analyst-in-the-loop workflows. Own the technical approach for dissemination of mission products: data-format and interface standards, prioritization, routing, timeliness, quality metadata, access control, product traceability, downstream machine-to-machine integration, and human-user delivery. Establish coherent autonomy interfaces among spacecraft buses, payloads, avionics, flight software, communications systems, mission planning systems, ground control, cloud/edge infrastructure, data platforms, and customer mission applications. Drive technical rigor across system requirements, CONOPS, architecture descriptions, interface-control documents, trade studies, test plans, verification matrices, technical performance measures, and technical baselines. Lead autonomy technical readiness for major milestones, including concept and requirements reviews, preliminary and critical design reviews, test-readiness reviews, operational demonstrations, launch-readiness activities where applicable, commissioning, on-orbit operational assessments, and customer acceptance events. Define and execute a verification and validation strategy that combines modeling and simulation, digital engineering, software-in-the-loop, hardware-in-the-loop, payload/ground integration, mission rehearsal, operational test, and-in applicable programs-on-orbit validation. Identify, quantify, and retire autonomy-specific technical risks, including failure or degradation of sensors and payloads; crosslink or ground-link interruption; incomplete, delayed, conflicting, or deceptive data; resource exhaustion; model uncertainty; interface failures; cyber compromise; and unsafe or unexplainable automated action. Partner with product, program, mission operations, security, safety/mission assurance, payload, spacecraft, ground, cloud, and data-engineering leaders to balance mission performance, technical risk, cost, schedule, and customer commitments. Serve as a senior technical counterpart for government customers, mission partners, suppliers, and internal executives. Support capture, proposal technical volumes, demonstrations, mission architecture discussions, technical reviews, and customer acceptance. Build and mentor a high-performing technical organization that may include staff engineers, autonomy developers, mission planners, data/ML engineers, test engineers, and domain experts. Required Qualifications: Bachelor's degree in computer science, aerospace engineering, electrical/computer engineering, systems engineering, applied mathematics, robotics, physics, or a related technical discipline; advanced degree preferred. 12+ years of progressively responsible experience in autonomy, space systems, aerospace, robotics, mission systems, ISR, satellite operations, distributed systems, or comparable complex technical fields. Demonstrated experience as a Chief Engineer, Lead Systems Engineer, Technical Director, Principal/Distinguished Engineer, IPT lead, or equivalent senior technical leader responsible for end-to-end system outcomes. Significant experience designing, developing, integrating, testing, and operationalizing software-intensive mission systems with high reliability, mission assurance, or certifiability requirements. Demonstrated technical depth in several of the following: Autonomous planning, scheduling, optimization, decision-making, and multi-agent or distributed coordination. Space mission planning, spacecraft or payload operations, satellite ground systems, constellation operations, or hosted-payload architectures. Multi-orbit/multi-constellation tasking and resource management. Embedded, edge, ground, cloud, and hybrid compute architectures. On-board data processing, sensor fusion, payload control, and communication-aware autonomy. ISR, remote sensing, RF, EO/IR, SAR, communications, navigation, or other mission-payload processing and exploitation. Data-product generation, provenance, quality assessment, dissemination, APIs, and enterprise mission-data integration. Systems engineering: requirements, CONOPS, architecture, ICDs, trade studies, verification planning, technical reviews, and risk management. Experience leading a multidisciplinary, matrixed engineering organization and influencing technical outcomes across teams without requiring direct reporting control. Strong written and verbal communication skills, including the ability to explain complex technical trade-offs to engineers, executives, government customers, operators, and mission partners. Experience supporting customer-facing technical work, including proposals, solution architecture, test/demonstration planning, and technical reviews. Preferred Qualifications: Experience with national security, defense, intelligence, civil-government, or commercial-space programs. Experience moving mission autonomy from prototype or research environments into sustained operational use. Demonstrated experience with operational test, mission rehearsal, launch preparation, satellite commissioning, or on-orbit anomaly response. Familiarity with safety/mission-assurance methods, cybersecurity engineering, secure software-development practices, and authorization/compliance processes relevant to space or defense systems. Experience establishing a reusable autonomy platform across multiple programs rather than delivering isolated, bespoke solutions. Active TS/SCI clearance, or established eligibility to obtain and maintain it, depending on program requirements. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) . click apply for full job details

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Shield AI builds trusted autonomy for national-security space missions. The Chief Engineer, Autonomy - Space Domain is the senior technical authority responsible for defining, delivering, and sustaining autonomy capabilities that convert distributed space, ground, and payload resources into timely, decision-quality data products. This leader owns the technical vision, system architecture, execution rigor, risk posture, verification strategy, and operational readiness of the space-autonomy solution across its lifecycle: concept development, integration, test, launch/commissioning support where applicable, on-orbit operations, software updates, and mission evolution. The role ensures that autonomy performs reliably across multi-constellation and multi-orbit mission environments, supports resilient operation in constrained or contested conditions, and delivers usable information to mission users at operational tempo. This is not a research position. This is a position focused on delivering mission-ready autonomy systems that perform in real-world operational environments. What You'll Do: Serve as the senior technical authority for space-domain autonomy, accountable for mission architecture, software/system design, technical execution, product quality, technical risk, verification evidence, and customer technical confidence. Define and evolve an autonomy architecture that supports end-to-end tasking, collection, processing, exploitation, and dissemination across a heterogeneous space enterprise, including satellites, hosted payloads, ground systems, mission applications, communications networks, cloud/edge compute, and external data sources. Lead the development of automatic and autonomous behaviors for multi-constellation and/or multi-orbit tasking, including prioritization, scheduling, replanning, resource allocation, coordination, conflict resolution, and response to dynamic mission demands. Define technical approaches for autonomously selecting, cueing, configuring, and coordinating collection from all relevant payload classes, as applicable to mission needs, including but not limited to: electro-optical/infrared, AIS, SAR, RF, SIGINT, communications, environmental, navigation, or third-party/partner payload sources. Architect and govern hybrid on-board and off-board processing strategies. Establish decision criteria for where inference, data reduction, fusion, storage, prioritization, and dissemination functions execute, accounting for latency, bandwidth, compute, power, thermal constraints, availability, security, mission priority, and degraded communications. Lead the technical design of advanced exploitation capabilities, including automated triage, sensor fusion, event detection, object/activity characterization, change detection, anomaly detection, provenance, confidence estimation, and analyst-in-the-loop workflows. Own the technical approach for dissemination of mission products: data-format and interface standards, prioritization, routing, timeliness, quality metadata, access control, product traceability, downstream machine-to-machine integration, and human-user delivery. Establish coherent autonomy interfaces among spacecraft buses, payloads, avionics, flight software, communications systems, mission planning systems, ground control, cloud/edge infrastructure, data platforms, and customer mission applications. Drive technical rigor across system requirements, CONOPS, architecture descriptions, interface-control documents, trade studies, test plans, verification matrices, technical performance measures, and technical baselines. Lead autonomy technical readiness for major milestones, including concept and requirements reviews, preliminary and critical design reviews, test-readiness reviews, operational demonstrations, launch-readiness activities where applicable, commissioning, on-orbit operational assessments, and customer acceptance events. Define and execute a verification and validation strategy that combines modeling and simulation, digital engineering, software-in-the-loop, hardware-in-the-loop, payload/ground integration, mission rehearsal, operational test, and-in applicable programs-on-orbit validation. Identify, quantify, and retire autonomy-specific technical risks, including failure or degradation of sensors and payloads; crosslink or ground-link interruption; incomplete, delayed, conflicting, or deceptive data; resource exhaustion; model uncertainty; interface failures; cyber compromise; and unsafe or unexplainable automated action. Partner with product, program, mission operations, security, safety/mission assurance, payload, spacecraft, ground, cloud, and data-engineering leaders to balance mission performance, technical risk, cost, schedule, and customer commitments. Serve as a senior technical counterpart for government customers, mission partners, suppliers, and internal executives. Support capture, proposal technical volumes, demonstrations, mission architecture discussions, technical reviews, and customer acceptance. Build and mentor a high-performing technical organization that may include staff engineers, autonomy developers, mission planners, data/ML engineers, test engineers, and domain experts. Required Qualifications: Bachelor's degree in computer science, aerospace engineering, electrical/computer engineering, systems engineering, applied mathematics, robotics, physics, or a related technical discipline; advanced degree preferred. 12+ years of progressively responsible experience in autonomy, space systems, aerospace, robotics, mission systems, ISR, satellite operations, distributed systems, or comparable complex technical fields. Demonstrated experience as a Chief Engineer, Lead Systems Engineer, Technical Director, Principal/Distinguished Engineer, IPT lead, or equivalent senior technical leader responsible for end-to-end system outcomes. Significant experience designing, developing, integrating, testing, and operationalizing software-intensive mission systems with high reliability, mission assurance, or certifiability requirements. Demonstrated technical depth in several of the following: Autonomous planning, scheduling, optimization, decision-making, and multi-agent or distributed coordination. Space mission planning, spacecraft or payload operations, satellite ground systems, constellation operations, or hosted-payload architectures. Multi-orbit/multi-constellation tasking and resource management. Embedded, edge, ground, cloud, and hybrid compute architectures. On-board data processing, sensor fusion, payload control, and communication-aware autonomy. ISR, remote sensing, RF, EO/IR, SAR, communications, navigation, or other mission-payload processing and exploitation. Data-product generation, provenance, quality assessment, dissemination, APIs, and enterprise mission-data integration. Systems engineering: requirements, CONOPS, architecture, ICDs, trade studies, verification planning, technical reviews, and risk management. Experience leading a multidisciplinary, matrixed engineering organization and influencing technical outcomes across teams without requiring direct reporting control. Strong written and verbal communication skills, including the ability to explain complex technical trade-offs to engineers, executives, government customers, operators, and mission partners. Experience supporting customer-facing technical work, including proposals, solution architecture, test/demonstration planning, and technical reviews. Preferred Qualifications: Experience with national security, defense, intelligence, civil-government, or commercial-space programs. Experience moving mission autonomy from prototype or research environments into sustained operational use. Demonstrated experience with operational test, mission rehearsal, launch preparation, satellite commissioning, or on-orbit anomaly response. Familiarity with safety/mission-assurance methods, cybersecurity engineering, secure software-development practices, and authorization/compliance processes relevant to space or defense systems. Experience establishing a reusable autonomy platform across multiple programs rather than delivering isolated, bespoke solutions. Active TS/SCI clearance, or established eligibility to obtain and maintain it, depending on program requirements. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) . click apply for full job details

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Shield AI builds trusted autonomy for national-security space missions. The Chief Engineer, Autonomy - Space Domain is the senior technical authority responsible for defining, delivering, and sustaining autonomy capabilities that convert distributed space, ground, and payload resources into timely, decision-quality data products. This leader owns the technical vision, system architecture, execution rigor, risk posture, verification strategy, and operational readiness of the space-autonomy solution across its lifecycle: concept development, integration, test, launch/commissioning support where applicable, on-orbit operations, software updates, and mission evolution. The role ensures that autonomy performs reliably across multi-constellation and multi-orbit mission environments, supports resilient operation in constrained or contested conditions, and delivers usable information to mission users at operational tempo. This is not a research position. This is a position focused on delivering mission-ready autonomy systems that perform in real-world operational environments. What You'll Do: Serve as the senior technical authority for space-domain autonomy, accountable for mission architecture, software/system design, technical execution, product quality, technical risk, verification evidence, and customer technical confidence. Define and evolve an autonomy architecture that supports end-to-end tasking, collection, processing, exploitation, and dissemination across a heterogeneous space enterprise, including satellites, hosted payloads, ground systems, mission applications, communications networks, cloud/edge compute, and external data sources. Lead the development of automatic and autonomous behaviors for multi-constellation and/or multi-orbit tasking, including prioritization, scheduling, replanning, resource allocation, coordination, conflict resolution, and response to dynamic mission demands. Define technical approaches for autonomously selecting, cueing, configuring, and coordinating collection from all relevant payload classes, as applicable to mission needs, including but not limited to: electro-optical/infrared, AIS, SAR, RF, SIGINT, communications, environmental, navigation, or third-party/partner payload sources. Architect and govern hybrid on-board and off-board processing strategies. Establish decision criteria for where inference, data reduction, fusion, storage, prioritization, and dissemination functions execute, accounting for latency, bandwidth, compute, power, thermal constraints, availability, security, mission priority, and degraded communications. Lead the technical design of advanced exploitation capabilities, including automated triage, sensor fusion, event detection, object/activity characterization, change detection, anomaly detection, provenance, confidence estimation, and analyst-in-the-loop workflows. Own the technical approach for dissemination of mission products: data-format and interface standards, prioritization, routing, timeliness, quality metadata, access control, product traceability, downstream machine-to-machine integration, and human-user delivery. Establish coherent autonomy interfaces among spacecraft buses, payloads, avionics, flight software, communications systems, mission planning systems, ground control, cloud/edge infrastructure, data platforms, and customer mission applications. Drive technical rigor across system requirements, CONOPS, architecture descriptions, interface-control documents, trade studies, test plans, verification matrices, technical performance measures, and technical baselines. Lead autonomy technical readiness for major milestones, including concept and requirements reviews, preliminary and critical design reviews, test-readiness reviews, operational demonstrations, launch-readiness activities where applicable, commissioning, on-orbit operational assessments, and customer acceptance events. Define and execute a verification and validation strategy that combines modeling and simulation, digital engineering, software-in-the-loop, hardware-in-the-loop, payload/ground integration, mission rehearsal, operational test, and-in applicable programs-on-orbit validation. Identify, quantify, and retire autonomy-specific technical risks, including failure or degradation of sensors and payloads; crosslink or ground-link interruption; incomplete, delayed, conflicting, or deceptive data; resource exhaustion; model uncertainty; interface failures; cyber compromise; and unsafe or unexplainable automated action. Partner with product, program, mission operations, security, safety/mission assurance, payload, spacecraft, ground, cloud, and data-engineering leaders to balance mission performance, technical risk, cost, schedule, and customer commitments. Serve as a senior technical counterpart for government customers, mission partners, suppliers, and internal executives. Support capture, proposal technical volumes, demonstrations, mission architecture discussions, technical reviews, and customer acceptance. Build and mentor a high-performing technical organization that may include staff engineers, autonomy developers, mission planners, data/ML engineers, test engineers, and domain experts. Required Qualifications: Bachelor's degree in computer science, aerospace engineering, electrical/computer engineering, systems engineering, applied mathematics, robotics, physics, or a related technical discipline; advanced degree preferred. 12+ years of progressively responsible experience in autonomy, space systems, aerospace, robotics, mission systems, ISR, satellite operations, distributed systems, or comparable complex technical fields. Demonstrated experience as a Chief Engineer, Lead Systems Engineer, Technical Director, Principal/Distinguished Engineer, IPT lead, or equivalent senior technical leader responsible for end-to-end system outcomes. Significant experience designing, developing, integrating, testing, and operationalizing software-intensive mission systems with high reliability, mission assurance, or certifiability requirements. Demonstrated technical depth in several of the following: Autonomous planning, scheduling, optimization, decision-making, and multi-agent or distributed coordination. Space mission planning, spacecraft or payload operations, satellite ground systems, constellation operations, or hosted-payload architectures. Multi-orbit/multi-constellation tasking and resource management. Embedded, edge, ground, cloud, and hybrid compute architectures. On-board data processing, sensor fusion, payload control, and communication-aware autonomy. ISR, remote sensing, RF, EO/IR, SAR, communications, navigation, or other mission-payload processing and exploitation. Data-product generation, provenance, quality assessment, dissemination, APIs, and enterprise mission-data integration. Systems engineering: requirements, CONOPS, architecture, ICDs, trade studies, verification planning, technical reviews, and risk management. Experience leading a multidisciplinary, matrixed engineering organization and influencing technical outcomes across teams without requiring direct reporting control. Strong written and verbal communication skills, including the ability to explain complex technical trade-offs to engineers, executives, government customers, operators, and mission partners. Experience supporting customer-facing technical work, including proposals, solution architecture, test/demonstration planning, and technical reviews. Preferred Qualifications: Experience with national security, defense, intelligence, civil-government, or commercial-space programs. Experience moving mission autonomy from prototype or research environments into sustained operational use. Demonstrated experience with operational test, mission rehearsal, launch preparation, satellite commissioning, or on-orbit anomaly response. Familiarity with safety/mission-assurance methods, cybersecurity engineering, secure software-development practices, and authorization/compliance processes relevant to space or defense systems. Experience establishing a reusable autonomy platform across multiple programs rather than delivering isolated, bespoke solutions. Active TS/SCI clearance, or established eligibility to obtain and maintain it, depending on program requirements. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) . click apply for full job details

Job Description Principal Data Architect & Technical Product Owner Vienna, VA Modern Disability Claims - Tech Team Full-time Hybrid SteerBridge is a modern technology company delivering innovative, mission-focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial-grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people-especially the veterans whose leadership, problem-solving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it , creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking a senior technical leader to own enterprise data architecture and serve as the Technical Product Owner for the Modern Disability Claims (MDC) data pipeline. This position combines hands-on architectural direction with independent product prioritization, backlog decisions, sprint delivery accountability, and mentorship for Scrum teams. The successful candidate will translate mission and program priorities into scalable designs, clear engineering work, and measurable delivery outcomes while communicating effectively with senior SteerBridge and VA stakeholders. Key Responsibilities Own the target-state architecture for claims, clinical, and healthcare data, including conceptual, logical, and physical models, integration patterns, and cloud data platforms. Independently prioritize and maintain the technical product backlog; define epics, user stories, acceptance criteria, dependencies, and delivery priorities in partnership with mission stakeholders. Own product decisions and sprint delivery outcomes for data engineering Scrum teams; guide sprint planning, refinement, reviews, and continuous improvement in coordination with team facilitators. Provide experienced leadership and mentorship to MDC Scrum teams, establishing mature Agile delivery practices, improving backlog refinement, sprint planning, execution discipline, and delivery predictability. Coach engineers, junior architects, and Scrum team members in technical delivery, product ownership practices, and architecture standards. Design scalable batch and real-time ETL/ELT pipelines, schema evolution, data quality controls, lineage, observability, and governance. Direct cloud platform architecture and technology decisions across AWS, Azure, or GCP and enterprise warehouse/lake technologies. Apply appropriate access controls, sensitive-data safeguards, and federal and healthcare data handling requirements. Enable analytics and AI/ML use cases through reliable, governed, reusable data infrastructure. Lead architecture reviews, resolve cross-system tradeoffs, and communicate roadmaps, risks, priorities, and technical decisions to executive and government stakeholders. Required Qualifications U.S. citizenship and ability to obtain a Public Trust clearance (an active Secret or Top Secret clearance also satisfies this requirement). Bachelor's degree or higher in Computer Science, Systems Engineering, Data Science, or a related field. At least six years of professional data architecture experience and at least two years of demonstrated, hands-on technical Product Owner experience, including independent responsibility for backlog prioritization, product decisions, and Scrum delivery. These experiences may be concurrent, provided both capabilities are clearly demonstrated. Demonstrated enterprise-scale data architecture ownership in a cloud environment, including data modeling, platform design, and data integration. Actual experience independently prioritizing a technical product backlog, making backlog decisions, and guiding sprint execution for an engineering or data team; a formal Product Owner job title is not required. Demonstrated experience improving Agile/Scrum team maturity through hands-on product ownership, coaching, mentorship, and implementation of effective backlog management, sprint planning, and delivery practices. Proficiency with SQL and Python, and practical experience with relevant data engineering tools and workflows (such as Pandas, PySpark, and Git). Experience with enterprise data warehouses or lakes such as Databricks, Redshift, BigQuery, or Snowflake, or comparable platforms. Ability to brief senior executives and government stakeholders, explain architectural tradeoffs, and mentor technical teams. Ability to work in a hybrid arrangement based in Vienna, VA, with an expected on-site presence of at least three days per week, subject to supervisor direction. Preferred Qualifications Experience with federal claims, healthcare, clinical, or other regulated and sensitive data environments, including HIPAA and federal data requirements. Experience establishing enterprise data modeling standards, master data management, metadata catalogs, lineage, and data governance. Familiarity with dimensional modeling, Data Vault, OLTP/OLAP architecture, and hybrid or multi-cloud design. Experience supporting AI/ML-ready data platforms, analytics, feature pipelines, and data science teams. Infrastructure as code, CI/CD, DevOps, and cost/performance governance for cloud data platforms. Benefits Health insurance Dental insurance Vision insurance Life Insurance 401(k) Retirement Plan with matching Paid Time Off Paid Federal Holidays $170,000 - $190,000 a year The posted compensation range reflects the scope and requirements of this position. A final offer will be determined based on the candidate's relevant experience, skills, education, certifications, and work location, along with the responsibilities of the position. Where applicable, contract requirements, wage determinations, and federal contract labor categories may also inform the offer. SteerBridge also offers benefits that may include health and life insurance, paid time off, paid holidays, disability coverage, retirement savings, and professional development opportunities. Benefits vary by position and eligibility. SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law. We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs.

Job Description Job Description Lead enterprise-level AI/ML and GenAI architecture, defining AI platforms, LLM solutions, integration patterns, security, governance, and MLOps. Provide technical leadership across complex AI initiatives and mentor architecture/engineering teams.

Job Description Job Description At ASAPP, our mission is simple: deliver the best AI-powered customer experience-faster than anyone else. We are guided by principles that shape how we think, build, and execute, including deep customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in small, highly skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship. We're building a globally diverse team of technologists and problem solvers who thrive in fast-paced environments, value collaboration, and approach every challenge with a Day 1 mindset. With hubs in New York City, Mountain View, Latin America, and India. If you're driven by continuous learning, rapid iteration, and the challenge of building in a high-growth startup, this is more than a role-it's a journey. We are seeking a Principal AI Architect to be the senior technical voice our enterprise customers turn to as they plan how AI fits into their customer experience. You will spend most of your time with customer technology leaders, helping them shape a practical, forward-looking path on ASAPP's platform. The rest of your time you'll spend inside our Delivery, Research, and Engineering teams, staying close to what we're building and what's working in production, and sharing that knowledge with our Customer-facing technology teams. What You'll Do Serve as a trusted technical advisor to CTOs, CIOs, heads of CX technology, and enterprise architects at strategic prospects and customers. Bring a clear point of view on where conversational and agentic AI is heading, and help customers decide what to adopt now, what to plan for, and what to skip. Lead executive briefings, architecture discussions, and workshops alongside our account and solutions teams. Shape and qualify custom requests, favoring solutions that become reusable product capabilities, and partner with Product and Delivery before making commitments. Start with a structured onboarding rotation through our Delivery, Research, and Engineering teams, so you build hands-on knowledge of our platform and how we deploy it before taking on full account coverage. Embed regularly with Delivery, Research, and Engineering, and turn what you learn into concise guidance that helps our Solution Engineers, and related technical field teams. Bring customer needs back to Product and Engineering as clear, prioritized input. Represent ASAPP externally through content, talks, and industry conversations. What You'll Bring 10+ years in enterprise technology, including 5+ years as a principal or lead architect, solutions leader, engineering director, or applied AI/ML lead. Hands-on experience with LLMs, prompt engineering, and LLM application architecture; familiarity with conversational AI and speech. A track record of owning technical outcomes on complex enterprise programs. Excellent executive presence and communication, with the ability to explain technical ideas to both business and engineering audiences. Good judgment about scope, including the confidence to tell a customer "not yet." A track record of publishing or presenting on applied AI, such as LinkedIn posts, a blog, a YouTube channel, or conference talks. A large following isn't required, but we're looking for someone who already shares what they learn publicly. Nice To Have Contact center tech, CCaaS, or CX technology experience. Experience in a field CTO, office-of-the-CTO, or principal architect role at an AI, cloud, or data platform company. Depth in one or more industries such as travel and hospitality, financial services, telecommunications, or insurance. The actual salary may be different depending upon non-discriminatory factors such as qualifications, experience, and other factors permitted by law. ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at to obtain assistance. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description POSITION SUMMARY The Cloud Security Specialist supports day-to-day execution of the organization's cloud security program across Microsoft Azure and Amazon Web Services. The role monitors cloud security controls, secures identity and access, reviews cloud and network architecture, integrates security into deployment pipelines, protects cloud-hosted data, and coordinates remediation with Information Security, Infrastructure, and Application Development. This is a growth-oriented role for a candidate with foundational to intermediate cybersecurity, cloud, or DevOps experience. PRIMARY DUTIES Cloud Security Operations and Posture Management Monitor Azure and AWS environments for misconfigurations, vulnerabilities, policy violations, suspicious activity, and drift from CIS Benchmarks and approved baselines. Administer and tune cloud security posture management and cloud-native security services, including Microsoft Defender for Cloud, AWS Security Hub, and AWS GuardDuty. Investigate cloud security alerts, document findings, coordinate remediation with system and application owners, and escalate high-risk findings to senior staff. Maintain cloud security dashboards, asset inventories, and landing zone usage and reporting. Identity and Access Management Support Azure and AWS identity controls, including Microsoft Entra ID, AWS IAM, role-based access control (RBAC), least privilege, multifactor authentication, conditional access, and privileged access management. Review roles, service principals, managed identities, access keys, and excessive or inactive access; support identity federation and SSO using OAuth 2.0, OpenID Connect, and SAML. Cloud Architecture and Network Security Support secure landing zone design, hub-and-spoke topology, environment separation, and network zoning using NSGs, AWS security groups, network ACLs, and private endpoints. Support secure configuration of load balancers and gateways (Azure Application Gateway, Azure Load Balancer, AWS ALB/NLB, API gateways), cloud WAF, CASB, and API security controls. Review proposed cloud architectures for sound security design and escalate design concerns to senior staff. Secure Cloud Engineering and DevSecOps Integrate security requirements into deployments; review infrastructure-as-code (Bicep, ARM, Terraform, CloudFormation) and configurations for security risks. Support security scanning, secrets detection, and policy checks in Azure DevOps (ADO) pipelines. Implement and maintain security policy as code using Azure Policy, AWS Service Control Policies, and AWS Config rules. Data Security in the Cloud Support secure configuration of storage, databases, encryption, secrets, and key management (Azure Key Vault, AWS KMS). Support data classification, labeling, and DLP with Microsoft Purview, and governance controls for Microsoft Fabric and Copilot, including oversharing risk. Monitoring and Incident Response Ensure cloud audit, security, and data access logs reach security monitoring platforms; support investigations, triage, and documentation for cloud-related incidents. Cloud Risk, Compliance, and Reporting Support risk assessments, audit evidence collection, and assessment of cloud controls against NIST, CIS Benchmarks, NYDFS, Virginia BOI, PCI-DSS, and other requirements. Prepare cloud security metrics and reports for leadership; document standards, procedures, diagrams, and exceptions. ADDITIONAL DUTIES Participate in security awareness, tabletop exercises, and training; perform other duties as assigned. MINIMUM EDUCATIONAL / EXPERIENCE QUALIFICATIONS Bachelor's degree in Cybersecurity, Information Technology, Computer Science, or related field. Equivalent work experience in lieu of degree is considered. Two or more years of experience in cybersecurity, network security, DevSecOps, or related work. Three to five years of hands-on experience administering Microsoft Azure and/or Amazon Web Services. MINIMUM SKILL QUALIFICATIONS Working knowledge of cloud security, identity and access management, RBAC, cloud networking, encryption, logging, and secure configuration. Experience reviewing infrastructure as code, deployment pipelines, containers, or cloud-hosted applications. Strong analytical, troubleshooting, documentation, communication, and teamwork skills. PREFERRED QUALIFICATIONS Experience with Microsoft Entra ID, Microsoft Defender for Cloud, AWS Security Hub, AWS GuardDuty, SIEM, or comparable cloud security tools. Experience with Azure DevOps pipelines, Git, and policy as code (Azure Policy, AWS SCPs, AWS Config). Experience with landing zones, hub-and-spoke design, cloud WAF, CASB, API security, and Azure CAF or AWS Well-Architected Framework. Experience with Microsoft Purview, Fabric, and Copilot governance; identity protocols (OAuth 2.0, OIDC, SAML, PKI). Container security (Docker, Kubernetes) and scripting in Python or PowerShell. Security+, Microsoft Azure Security Engineer Associate (AZ-500), AWS Certified Security - Specialty, or equivalent certification. Familiarity with NIST CSF, CIS Controls, ISO 27001/2, PCI-DSS, SOX, HIPAA, GDPR, GLBA, CNAPP/CWPP concepts, EDR/MDR, and Linux and Windows administration. REPORTING RELATIONSHIP Reports To: Manager, Active Defense & Security Operations OTHER DUTIES This job description describes the general nature and level of work assigned and is not an exhaustive list of responsibilities, duties, or skills. Other job-related duties may be assigned. At VA Farm Bureau, we provide an exceptional benefits package, including ongoing job development and support in all roles, paid training and continuing education reimbursement, medical and dental insurance available on your first day, generous employee 401K contribution, excellent Paid Time off (PTO) plan and more!

Job Description Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For: Cloud Service Architecture principal Design, architect, and optimize cloud infrastructure and systems that enable enterprise-scale SaaS operations. This role focuses on creating resilient, cost-effective, and secure infrastructure foundations that support multiple products, with emphasis on technical excellence, standardization, and scalability. Develops, validates, and tests structures and user documentation. Works under consultative direction toward predetermined long-range targets pertaining to innovation driven business growth, high-quality execution, inclusive and customer first culture. Must reside in the US, within a drivable distance to Kennesaw, GA with the ability to work a hybrid (3 days in office, 2 days remote) from that office. Responsibilities: Establishes architecture governance frameworks and decision-making processes that ensure technical alignment with business objectives and long-term product roadmaps Provides thought leadership and hands-on support to develop SaaS AI/ML and Analytics solutions, utilizing scalable API design, web/visualization/analytics frameworks, and Cloud architectures Ensures all non-functional aspects of solutions address in the product releases and deployments, including scalability, availability, security, maintainability, and supportability Designs complex test cases and work with SDET specialists to ensure quality product releases Creates and maintains design and architectural artifacts. Ensures uniform architecture and design standards are maintained Promotes strong collaboration with cross functional teams including data engineering, UX and Product Management Conducts research or POC on relevant emerging technologies in support of solution development efforts and make recommendations Strengthens our product engineering capabilities, builds appropriate processes, standardized methodologies, leverage proper tech tools, review and mentor coding activities, lead DevOps functions, etc. Builds and maintains status as a developer of novel and creative solutions to build business and bring positive attention to technologies and services Helps manage the Product Engineering team, based mainly out of the US and India, comprised of application developers, technical architects, UI/UX specialists, etc. Exercises independent judgment in methods, techniques and evaluation criteria for obtaining results Collaborates with product engineering teams during planning and design phases to understand requirements and propose scalable infrastructure solutions Breaks down infrastructure silos by designing unified, interoperable systems that enable cross-product consistency and operational scalability Designs and implements global infrastructure patterns that support follow-the-sun operations and 24/7 enterprise-grade availability requirements Leads multi-year digital transformation initiatives, including migrations from legacy infrastructure to cloud-native architectures Defines incident response and recovery architectures that minimize Mean Time to Detection (MTTD) and Mean Time to Recovery (MTTR) through intelligent monitoring, alerting, and automation Architects policy-as-code (OPA, Kyverno) governance systems that ensure 100% compliance with security, cost, and operational standards Architects compliance frameworks aligned with industry standards (SOC 2, ISO 27001, HIPAA) with automated validation and attestation Qualifications: Minimum Qualifications Bachelor's or Master's degree in Computer Science or Engineering Minimum 10+ years of hands-on experience designing and implementing cloud infrastructure at scale Preferred Qualifications: Strong background in cloud platforms (AWS, GCP, Azure) and containerized environments (Kubernetes, Docker) Deep expertise in Infrastructure as Code, CI/CD pipeline design, and automation frameworks Experience developing software utilizing various coding languages (including Java, JavaScript, Go, Python, and more) and front-end technologies (NodeJS, Angular/React) Experience working on large-scale software projects, delivering superior quality code Proven track record of improving system reliability (MTTD, MTTR, uptime) and operational metrics through architectural improvements Experience leading major infrastructure initiatives, migrations, or transformations that impacted multiple teams and products Demonstrated experience in design principles, patterns and writing clean, maintainable product code Understanding of software quality assurance principles Experience designing secure software systems based upon industry-specific specifications Demonstrated ability to collaborate with product engineering teams during planning and design phases to understand requirements and propose scalable infrastructure solutions Equal Opportunity Employer: Zebra is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at . Know Your Rights: - 10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: -_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at . Pay Range: $156,960.00 - $235,440.00 Annual Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 20% of base pay, in accordance with the terms of the applicable incentive plan. Zebra Total Rewards: Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. Benefits: We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement: Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy.

Job Description EazyML, Recognized by Gartner, EazyML () specializes in Responsible AI. Our solutions facilitate proactive compliance and sustainable automation and The company is associated with breakthrough startups like Amelia.ai. We are seeking a highly experienced Principal Product & TechnologyLead to partner with business and technology leaders in driving strategy, delivery, and adoption of enterprise analytics, AI, and digital platforms. This individual will serve as a trusted advisor to stakeholders while leading cross-functional teams, managing complex technology initiatives, and ensuring delivery of measurable business value. The ideal candidate combines product leadership, technical depth, strategic thinking, and execution excellence to successfully lead initiatives spanning data, analytics, AI/GenAI, and enterprise application platforms. Key Responsibilities Product Strategy & Portfolio Management Define product vision, roadmap, and prioritization across a portfolio of analytics, data, AI, and digital solutions. Partner with business stakeholders to identify opportunities, define requirements, and deliver business outcomes. Develop and maintain product backlogs, release plans, success metrics, and adoption strategies. Drive value realization through measurable business outcomes and ROI tracking. Technology Leadership Provide technical leadership across architecture, design, integration, and platform modernization initiatives. Collaborate with engineering teams to ensure scalable, secure, and maintainable solutions. Guide solution design reviews and technical decision-making. Promote engineering best practices, automation, DevOps, and AI-assisted development approaches. AI & Innovation Identify, evaluate, and drive AI/GenAI use cases from concept through implementation. Partner with business and technical teams to define AI product strategy and business value. Support the adoption of emerging technologies including Generative AI, AI Agents, and automation capabilities. Ensure alignment with Responsible AI and governance requirements. Program & Delivery Leadership Lead planning, execution, and delivery across multiple concurrent initiatives. Manage dependencies, risks, issues, and stakeholder communications. Facilitate Agile ceremonies, roadmap reviews, governance forums, and executive updates. Coordinate cross-functional teams including Product, Engineering, Data, Quality, Operations, and Business partners. Stakeholder & Vendor Management Serve as a trusted advisor to business and technology leadership. Drive alignment across internal teams and external vendor partners. Lead executive presentations, strategic planning discussions, and steering committee reviews. Establish accountability and ensure successful delivery against commitments. Governance & Compliance Support architecture reviews, security assessments, and technology governance processes. Ensure compliance with applicable regulatory, privacy, security, and enterprise standards. Maintain appropriate documentation, controls, and audit readiness. Required Qualifications: Experience Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. 10+ years of experience in Product Management, Technology Delivery, Solution Architecture, Engineering Leadership, or Technology Consulting. Proven experience leading enterprise-scale digital, analytics, data, or AI product initiatives. Experience managing global cross-functional teams and large-scale technology programs. Strong executive presence with the ability to communicate effectively with both technical and business audiences. Technical Requirements: Product & Delivery Expertise in product strategy, roadmap development, backlog management, and release planning. Strong understanding of Agile, Scrum, and modern product development methodologies. Experience managing complex technology portfolios and delivery roadmaps. Software Engineering & Architecture Strong understanding of Software Development Life Cycle (SDLC). Experience with enterprise application architecture and integration patterns. Knowledge of APIs, microservices, event-driven architectures, and distributed systems. Familiarity with frontend, backend, and cloud-native application development. Cloud & Platform Technologies Experience with one or more cloud platforms including Azure, AWS, or GCP. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Understanding of cloud migration, platform modernization, and scalable architecture design. Data & Analytics Strong understanding of: SQL Data Warehousing Data Modeling ETL/ELT Pipelines Enterprise Data Platforms Experience with analytics and business intelligence tools including Power BI, Tableau, Qlik, or ThoughtSpot. Experience delivering large-scale analytics or data-driven products. Artificial Intelligence & Generative AI Experience leading or supporting AI and Generative AI initiatives. Working knowledge of: Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) AI Agents and Agentic Workflows Vector Databases Prompt Engineering Understanding of AI governance, responsible AI practices, and enterprise AI adoption. Development & Delivery Tooling Experience with: Jira Confluence Azure DevOps GitHub Git Microsoft 365 Ecosystem Ability to manage technical backlogs, releases, sprint planning, and delivery metrics. Governance, Security & Compliance Familiarity with: Security Reviews Risk Assessments Data Privacy Requirements AI Governance Frameworks Computer System Validation (CSV) GxP and Regulated Environments (preferred) Preferred Qualifications: Experience in Life Sciences, Pharmaceutical, Clinical Development, Healthcare, or Medical Technology industries. Experience supporting enterprise analytics and AI platforms. Experience managing global delivery teams and third-party vendors. Experience building business cases, ROI analyses, and value realization frameworks. Background in management consulting, technology strategy, or digital transformation.

Job Description Job Description Description: Position Summary Avum is seeking an AI/ML Integration Specialist to integrate artificial intelligence and machine learning capabilities into business applications and technology platforms. This role works with engineering, data, and business teams to turn AI solutions into reliable, secure, and scalable production capabilities. Key Responsibilities Design, develop, and maintain integrations connecting AI/ML models, APIs, and services with existing applications. Implement generative AI, large language models (LLMs), natural language processing, computer vision, and predictive analytics capabilities to support business needs. Build and maintain APIs, data pipelines, middleware, and integration workflows. Collaborate with data scientists, engineers, product teams, and business stakeholders to define requirements and move models from development into production. Evaluate and improve AI solution performance, scalability, security, reliability, and cost. Monitor deployed solutions, troubleshoot issues, and establish practices for testing, version control, deployment, and ongoing monitoring. Ensure solutions meet organizational security, privacy, governance, and responsible AI requirements. Document architectures, integrations, and operating procedures, and recommend emerging technologies that support business goals. Compensation The salary range for this position is $105,000 - $130,000 annually, with a target midpoint of $117,000. Actual compensation will be determined based on experience, qualifications, certifications, and geographic location. Avum offers a comprehensive benefits package including medical (Cigna), dental and vision (Principal), 401(k), PTO, education reimbursement, and certification reimbursement. Work Environment & Requirements Hybrid/remote work environment with potential on-site requirements based on contract needs U.S. citizenship required Security clearance may be required based on contract assignment Equal Employment Opportunity Avum, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected class under federal, state, or local law. Avum is committed to compliance with Section 503 of the Rehabilitation Act and VEVRAA, and maintains an active Affirmative Action Plan. Requirements: Required Qualifications U.S. citizenship with the ability to obtain and maintain a U.S. Government security clearance. Bachelor's degree in Computer Science, Software Engineering, Data Science, AI/ML, or a related field. Three or more years of experience in software engineering, systems integration, ML engineering, data engineering, or a related discipline. Experience integrating REST APIs, SDKs, microservices, and third party platforms. Strong programming skills in Python and/or Java, JavaScript, or TypeScript. Understanding of machine learning concepts, the model lifecycle, and AI application architecture. Experience working with databases, data pipelines, JSON, SQL, and cloud environments. Familiarity with Git, CI/CD, testing, logging, monitoring, and production deployment practices. Strong analytical, troubleshooting, communication, and problem solving skills. Preferred Qualifications Experience integrating LLMs and generative AI applications using OpenAI, Azure AI, AWS AI/ML, Google Cloud AI, or comparable platforms. Knowledge of retrieval augmented generation (RAG), vector databases, embeddings, and semantic search. Experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn. Familiarity with Docker, Kubernetes, serverless architectures, and cloud native development. Experience with MLOps, LLMOps, and model monitoring. Knowledge of AI security, governance, privacy, and responsible AI practices. Experience integrating AI capabilities with Salesforce, ServiceNow, SAP, Microsoft Dynamics, or similar enterprise platforms.

Job Description Job Description We are looking for an experienced AI Application Architect to lead the technical design and evolution of our AI-powered product suite. You will be the technical authority on how we build, scale, and secure AI-native applications - spanning agent orchestration, LLM infrastructure, data pipelines, and developer tooling. You'll work closely with engineering leads, product managers, and ML practitioners to translate ambitious AI capabilities into robust, production-grade systems. What You'll Do: Define architecture for AI-native applications including agentic systems, RAG pipelines, multi-model inference layers, and human-in-the-loop workflows Drive infrastructure decisions for scalable AI workloads: vector databases (Turbopuffer, pgvector, Milvus), workflow orchestration (Temporal, Airflow), and async compute patterns Design and govern the integration layer between LLMs (OpenAI, Anthropic, Gemini, open-source) and backend services, including prompt management, context window optimization, and cost governance Lead LLMOps and observability strategy - tracing (OpenTelemetry), evaluation pipelines, prompt versioning, drift detection, and integration with platforms like Langfuse or Arize Establish security and compliance posture for AI systems - SSRF/injection hardening, LLM guardrails, data residency, and supply chain security for model artifacts and dependencies Partner with product and research to evaluate emerging AI capabilities and determine when/how to adopt them (e.g., reasoning models, multimodal, fine-tuning, RLHF) Champion engineering standards - API design, schema governance, testing strategies, and architecture decision records (ADRs) Mentor senior engineers and establish guild-level technical communities around AI platform topics What We're Looking For: 10+ years of software engineering with 5+ years in a principal/staff or architect-level role Hands-on experience designing and shipping production LLM-powered applications (not just prototypes) Experience shipping complex, user-facing application platforms - particularly in SaaS, productivity tools, or enterprise software. Demonstrated ability to lead full-stack teams building rich web application experiences (React, TypeScript/Node.js, modern frontend architectures) with strong backend (Python) and API design sensibility Deep understanding of enterprise requirements: User Management, RBAC/ABAC permission models, audit logging, compliance frameworks, multi-tenant governance, and admin tooling. Experience building contextual or adaptive UX - applications that respond to user state, workflow context, or personalization signals. Strong grasp of cloud-native architecture (Kubernetes, Helm, container security, CI/CD) on AWS, GCP, or Azure Solid understanding of API security: OAuth2, CSRF, rate limiting, secrets management, and zero-trust principles applied to AI endpoints Preferred Experience: Experience with MCP (Model Context Protocol) or comparable tool-calling/plugin infrastructure Familiarity with workflow orchestration engines (Temporal, Prefect) for long-running AI tasks Exposure to LLM evaluation frameworks (automated judging, red-teaming, regression suites) Background in developer-facing products or internal AI platforms / AI coding tooling Understanding of supply chain security for ML models (artifact signing, registry enforcement, SBOM) Contributions to open-source AI tooling or published architectural writing Additional Information Base Pay Range: 233 870.00 USD Annual This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation. Procore is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate's job-related skills, experience, education or training, and location. For Los Angeles County (unincorporated) Candidates: Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable federal, state, and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment.

Job Description Job Description Company Description Mission Critical Group (MCG ) is an end-to-end power solutions and services provider that accelerates time-to-power and delivers scalable, resilient infrastructure for mission critical environments. By integrating engineering, manufacturing, modular deployment, and lifecycle services under one platform, we streamline execution and bring complex projects online faster - without compromising performance. With a robust U.S. manufacturing network, MCG supports data centers, power generation, healthcare, oil & gas, pharmaceuticals, semiconductors, and industrial facilities where uptime is non-negotiable. Mission Critical Group designs, manufactures and provides value-added services for customers requiring critical power solutions. Powering a new electric world for a brighter, more secure future. Job Description The Testing Technician is responsible for performing testing and troubleshooting during the final assembly phase of electrical control and distribution equipment prior to customer delivery. This role ensures product quality, compliance, and optimal functionality by verifying that all assemblies meet engineering specifications, customer requirements, and applicable industry standards. The Testing Technician works closely with production, engineering, and quality teams to identify and resolve issues before shipment. Accountabilities Demonstrate technical skills regarding performing diagnostics, troubleshooting, and testing for reliability on Low, Medium, and Arc-Resistant switchgear and electrical control equipment using tools such as multimeters etc. Verify and document HIPOT tests on copper bus. Ensure final product is consistent with technical schematics, perform basic device programming, and repair all custom-built equipment prior to client shipment as a measure of quality control. Perform Factory Acceptance Tests to show the functionality of Mission Critical Group products and advise of interfacing capabilities with clients' existing equipment under the direction of senior team members. Identify functionality or defects through visual and electrical inspections on power distribution equipment and assist senior team members with maintenance or repairs within testing guidelines. Assist senior team members with design verifications and product reliability demonstrations during client witness testing activities under supervision. Perform other duties as assigned. Qualifications Required knowledge/Experience 0-1 years of experience in wiring or assembling electrical control and distribution equipment, preferably in a switchgear or industrial manufacturing environment. Working knowledge of engineering principles, techniques, and procedures as applied to the design and production of electrical equipment. Understanding raw materials, production processes, and manufacturing techniques. Knowledge of design techniques, tools, and principals involved in the production of technical plans, blueprints, drawings, and models. Knowledge of machines and tools, including their designs, uses, repair, and maintenance. Testing tools include MPRT, secondary injection units, digital ratiometers, CT testers, digital multimeters, Fluke meters, AC and DC high-potential testers, high-voltage testers, basic hand tools, and testing jumpers. Proficiency with computer hardware and software, including Microsoft Office Suite. Intermediate written and verbal communication skills, including the ability to read and interpret technical procedures, write reports and correspondence, and present information to managers and customers. Solid mathematical skills, including the ability to calculate figures, proportions, and measurements. Strong attention to quality with the ability to follow procedures carefully and strive for accuracy in all work. Self-motivated with the ability to identify and resolve issues independently while maintaining adherence to guidelines and procedures. Ability to work collaboratively with peers, leadership, and cross-functional teams. Customer-oriented with a proactive approach to supporting internal and external needs. Preferred 1 year of experience troubleshooting electrical and mechanical systems Education High School Diploma or GED required . Work Environment and Physical Demands This is a FLSA non-exempt position paid on an hourly basis. Overtime may be required based on production demands, including extended shifts, weekends, or holidays. This role is based on the production floor. The position requires standing for extended periods, working around machinery, and adherence to all safety and compliance standards. Mobility : Ability to move around the manufacturing plant, including walking, standing, and climbing stairs. Manual Dexterity : Occasional use of hands to handle or feel objects, tools, or controls. Lifting : Ability to lift and carry items up to fifty (50) pounds. All lifting should be done following OSHA standards. Visual and Auditory Requirements : Must be able to see and hear well enough to navigate the plant safely and communicate effectively with team members. Additional Information A Note to our Recruitment Partners: We really appreciate the interest, but MCG currently manages hiring through our internal team. We love getting to know our candidates directly! Because of this, we don't accept unsolicited resumes from agencies at this time. If we ever need an extra hand, we'll be sure to reach out to the community. Thanks for understanding! MCG is an equal opportunity employer prohibiting discrimination based on race, color, creed, religion, sex, marital status, physical or mental disability, and any other protected classes stated by applicable federal and state laws. MCG is committed to providing equal employment opportunities to qualified individuals with disabilities and to act in accordance with regulations and guidance issued by the Equal Employment Opportunity Commission (EEOC).

This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Principle Software Product Manager - HP app Description - At HP, we are transforming how customers interact with their devices through a unified digital experience that helps them set up, manage, support, and get more value from their HP products. The HP app serves as the primary digital destination for millions of customers worldwide, connecting them with device experiences, support services, productivity solutions, personalized recommendations, and new value-added offerings. We are seeking a Principal Product Manager to define and drive the strategy, roadmap, and customer experience for key areas of the HP app. This role requires an experienced product leader who can combine customer insights, business objectives, data, and market trends to deliver experiences that increase customer satisfaction, engagement, retention, and growth. As a Principal Product Manager, you will work across engineering, design, analytics, marketing, customer support, and business teams to identify opportunities, prioritize investments, and deliver meaningful outcomes for customers and HP. Responsibilities Define product vision, strategy, and roadmap for major areas of the HP app. Develop a deep understanding of customer needs through research, customer feedback, behavioral analytics, and market insights. Identify opportunities to improve customer engagement, satisfaction, retention, and business performance. Lead cross-functional teams through product discovery, prioritization, development, launch, and optimization. Drive alignment among stakeholders and senior leaders on product direction and investment priorities. Establish measurable goals, success metrics, and KPIs for product initiatives. Leverage analytics, experimentation, and customer insights to inform product decisions and validate outcomes. Partner with UX, engineering, and business teams to create seamless end-to-end customer experiences. Monitor competitive trends and emerging technologies to identify new opportunities for innovation. Mentor product managers and help strengthen product management practices across the organization. Knowledge & Skills Extensive experience leading software or digital product initiatives with significant customer and business impact. Strong customer-centric mindset with a passion for solving customer problems. Proven ability to define strategy, prioritize investments, and execute in complex, cross-functional environments. Strong analytical skills and experience using data to inform product decisions. Excellent communication, storytelling, and stakeholder management skills. Experience working in agile software development environments. Familiarity with experimentation, product analytics, customer journey mapping, and growth frameworks. Scope & Impact Owns strategic product areas that influence the experience of millions of HP customers globally. Drives decisions that impact customer engagement, satisfaction, retention, and business growth. Influences product direction across multiple teams and organizations. Serves as a trusted advisor to senior leaders on product strategy and customer experience opportunities. Contributes to the development of product management talent and best practices across the organization. Education & Experience Bachelor's degree relevant area or demonstrated competence. Typically 10+ years of experience in product management, digital products, software, or related fields. Demonstrated success delivering customer-focused products at scale. Experience working across engineering, design, analytics, and business organizations to drive measurable outcomes. Salary The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Disclaimer This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "