Voyagertechnologiesinc

<h2>Senior Product Manager, Agentic AI Platform</h2>
Washington, DC | Los Angeles, CA | Seattle, WA (Remote)
Voyager is an innovative defense, national security and space technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space.
Forge the Future: Join Voyager Technologies
The future belongs to those who build it. At Voyager Technologies, we’re building technologies that protect lives, expand frontiers and prepare us for what’s next. And we’re doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart.
You’ll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We’re a company of doers, thinkers and builders, united by purpose and grounded in reality.
If you want to put your skills to work where the stakes are real and the mission is bigger than any one person, forge the future with Voyager.
The Senior Product Manager, Agentic AI Platform is a senior individual contributor responsible for defining and executing the product vision, strategy, and roadmap for a forthcoming AI-native software platform. This role translates the needs of demanding, highly technical customers into scalable platform capabilities, working directly with engineering and technical leadership to deliver innovative agentic AI solutions from conception through commercialization.
The position is part of the Advanced Technology Group within Voyager's Strategic Growth and Technology Organization. This role is remote, with locations in Washington, DC, Los Angeles, CA, or Seattle, WA.
The Advanced Technology Group is responsible for defining and developing Voyager's future technologies, with a focus on high-impact, high-ROI technology and product research and development. The team develops leap-ahead capabilities in existing technology areas while establishing foundational technologies in new and emerging markets.
In this role, the essential technical and product functions are:
<ul>
<li>
Define and own the product vision, strategy, and multi-horizon roadmap for an AI-native software platform, establishing a clear perspective on the evolution of agentic AI and Voyager's competitive differentiation.
</li>
<li>
Lead customer discovery and co-development efforts with complex, high-value design partners, translating customer workflows, operational challenges, and technical requirements into actionable product priorities.
</li>
<li>
Partner closely with technical leads and engineering teams to define product scope, sequencing, architectural trade-offs, and execution priorities, ensuring alignment between customer needs and technical feasibility.
</li>
<li>
Develop clear product requirements, user journeys, acceptance criteria, and technical specifications that support efficient engineering execution and measurable customer outcomes.
</li>
<li>
Define the platform's extensibility architecture and developer experience, including APIs, SDKs, integrations, tool and data connectors, and capabilities that enable internal teams, customers, and partners to build on the platform.
</li>
<li>
Establish product success metrics and evaluation strategies for AI agent quality, reliability, safety, latency, performance, and cost.
</li>
<li>
Define product requirements for human-in-the-loop controls, governance, auditability, security, and operational guardrails to support trusted autonomous systems in high-consequence environments.
</li>
<li>
Maintain a comprehensive understanding of the agentic AI technology landscape, including foundation models, orchestration frameworks, developer platforms, and emerging AI applications, translating competitive intelligence into product positioning and build, partner, or buy recommendations.
</li>
<li>
Collaborate with Growth, Business Development, and executive leadership to develop product packaging, pricing hypotheses, pilot structures, commercialization strategies, and scalable go-to-market approaches.
</li>
<li>
Establish product instrumentation, adoption metrics, and customer-value measurements to drive rapid, data-informed iteration from prototype through production deployment.
</li>
<li>
Communicate product strategy, technical capabilities, roadmap decisions, and customer value propositions to executive leadership, customers, engineering teams, and strategic partners.
</li>
<li>
Demonstrate hands-on use of AI tools for research, analysis, requirements development, and rapid prototyping to accelerate product discovery and decision-making.
</li>
<li>
Operate with a high degree of autonomy in a small, fast-moving team, making informed product and technical trade-offs while maintaining accountability for adoption and customer outcomes.
</li>
<li>
Other duties as assigned.
</li>
</ul>
If your experience aligns with our basic qualifications and you are inspired by our mission, we’d like to connect. If you don’t see the right role right now, Join Our Talent Community and stay connected as we continue to build what’s next.
<ul>
<li>
Ten (10) or more years of product management experience, including at least five (5) years of direct ownership of software platform products such as developer platforms, cloud services, APIs, SDKs, or enterprise infrastructure from conception through launch and scale.
</li>
<li>
Demonstrated experience delivering AI/ML software products into production, including direct product ownership of generative AI, large language model (LLM), or AI agent capabilities.
</li>
<li>
Deep technical understanding of modern agentic AI architectures, including LLM orchestration, multi-agent systems, tool and function calling, Model Context Protocol (MCP), retrieval and context engineering, memory, evaluation frameworks, and agent observability.
</li>
<li>
Familiarity with agentic AI frameworks and platforms such as LangGraph, OpenAI Agents SDK, Claude Agent SDK, Google ADK, AWS Bedrock AgentCore, Azure AI Foundry, or equivalent technologies.
</li>
<li>
Ability to evaluate technical architecture and product design trade-offs in collaboration with software engineers and technical leadership.
</li>
<li>
Strong understanding of the agentic AI market, including key technology providers, business models, adoption challenges, competitive dynamics, and opportunities across model, platform, and application layers.
</li>
<li>
Proven experience managing complex enterprise, government, or highly technical customers and incorporating customer insights into product roadmap development and prioritization.
</li>
<li>
Demonstrated ability to own product strategy and execution in a zero-to-one (0-to-1) environment, navigating ambiguity, exercising independent judgment, and delivering measurable results.
</li>
<li>
Experience leveraging AI tools to accelerate product research, analysis, documentation, and rapid prototyping.
</li>
<li>
Exceptional written, verbal, and presentation skills, including the ability to develop clear product requirements and communicate complex technical concepts to executive and customer audiences.
</li>
<li>
Bachelor's degree in Computer Science, Engineering, or a related technical discipline; equivalent practical experience may be considered in lieu of a degree.
</li>
<li>
U.S. Citizenship and ability to obtain and maintain a U.S. Security Clearance at the appropriate level.
</li>
</ul>
Preferred Qualifications:
<ul>
<li>
Prior hands-on experience as a software engineer, machine learning engineer, or solutions architect before transitioning into product management.
</li>
<li>
Product management experience at a leading artificial intelligence, cloud computing, or developer-platform company.
</li>
<li>
Experience developing and delivering AI products in regulated, security-sensitive, or mission-critical environments, including aerospace and defense, government, healthcare, or financial services.
</li>
<li>
Familiarity with on-premises, air-gapped, or accredited cloud deployments, including FedRAMP and Department of Defense Impact Levels.
</li>
<li>
Experience developing products for technical professionals and domain experts where accuracy, reliability, and verifiability of AI-generated outputs are critical.
</li>
<li>
Experience defining pricing, packaging, and go-to-market strategies for software platforms, APIs, or usage-based products.
</li>
<li>
Master's degree in a related technical discipline or Master of Business Administration (MBA).
</li>
<li>
Active U.S. Security Clearance.
</li>
</ul>
Travel, Physical and/or Government Mandated Requirements:
<ul>
<li>
Willingness to travel up to approximately 25% of the time to customer sites and Voyager locations.
</li>
<li>
Must be a U.S. Citizen.
</li>
<li>
Must be able to obtain and maintain a U.S. Security Clearance at the appropriate level.
</li>
</ul>
Voyager offers a highly competitive total compensation package designed to support the well-being, growth, and success of our employees. Employees benefit from a flexible and comprehensive rewards program that supports both professional and personal well-being.
<ul>
<li>
Flexible Time Off (FTO), empowering employees to take the time they need to recharge and maintain a healthy work-life balance.
</li>
<li>
Comprehensive medical, dental, and vision coverage for employees and their families, with a significant portion of premiums covered by the company and many benefits paid at 100% for employees.
</li>
<li>
Flexible, affordable gym memberships with 12,700+ options nationwide including 24 Hour Fitness, EoS Fitness, Crunch Fitness, Anytime Fitness, Blink Fitness, Chuze Fitness and more. No long-term contracts and free on-demand workout videos before enrollment.
</li>
<li>
401(k) retirement plan with a company match of up to 4% to help build long-term financial security.
</li>
<li>
Company wellness programs that support physical and mental well-being.
</li>
<li>
Additional voluntary benefits and employee support resources.
</li>
<li>
The opportunity to work alongside a highly talented team in an innovative, mission-driven environment.
</li>
</ul>
Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Minority/Female/Disabled/Veteran
The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice.

Senior Product Manager, Agentic AI Platform

Voyager is an innovative space, defense, and national security technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space. 
Forge the Future: Join Voyager Technologies 
The future belongs to those who build it. At Voyager Technologies, we’re building technologies that protect lives, expand frontiers and prepare us for what’s next. And we’re doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart.  
You’ll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We’re a company of doers, thinkers and builders, united by purpose and grounded in reality. 
If you want to put your skills to work where the stakes are real and the mission is bigger than any one person, forge the future with Voyager. 
<h2>Job Summary:</h2>
We are seeking an Agentic GEOINT Mission Management Lead to lead the technical effort building Voyager’s Agentic Mission Management platform — an AI-native system that lets intelligence operators task and orchestrate large, heterogeneous satellite constellations through natural conversation instead of manual planning tools. In this role, you will own the technical vision and hands-on execution for a platform that turns operator intent into physically valid, explainable, executable collection plans — and matures it from working prototype to accredited operational capability.
You will sit at the intersection of GEOINT tasking tradecraft, collection orchestration, and agentic AI. This role is a fit for someone who has lived the tasking-to-dissemination cycle and gets impatient with monolithic, opaque, manual planning workflows — who knows that the target deck now changes by the hour while constellations have grown from a handful of exquisite assets to hundreds of government, commercial, and allied satellites, and who wants to see their agents task real sensors against real physics, not just push text around. The work also involves decomposing the judgment of collection managers and mission planners into agent definitions, tool integrations, scheduling and astrodynamics couplings, and evaluation suites.
You will be joining a specialized group within our Advanced Technology Development organization responsible for building Voyager’s Agentic Mission Management platform — the AI-native system that translates human intent into mission management action. We design agentic AI systems that pair deeply with orbital mechanics, sensor models, and live mission data so that physical feasibility, explainability, and operator trust are built into every recommendation from the very first request — and so that autonomy grows deliberately, as the system earns it.
<h2>Responsibilities:</h2>
<ul>
<li>Serve as Principal Investigator (PI) for the Agentic Mission Management effort — own the technical vision, technical roadmap, and execution; represent the work to Intelligence Community and national security space customers; and carry it from working prototype to fielded, accredited capability.</li>
<li>Lead the design of an agentic architecture in which an AI orchestrator calls mission capabilities as tools, in whatever order the mission needs.</li>
<li>Design, implement, and deploy production-ready AI agents (using state-of-the-art models from Google, OpenAI, etc) that translate operator intent expressed in plain language into structured collection requests and physically valid collection plans, checked against real orbital mechanics, sensor phenomenology, and access constraints — not just geometry.</li>
<li>Build explainability and human-on-the-loop trust into the platform: every AI recommendation traceable, auditable, and defensible to the operator, with autonomy that expands as the system demonstrates reliability.</li>
<li>Develop and maintain Model Context Protocol (MCP) servers that expose mission systems — target decks and collection requirements, satellite catalogs and ephemerides, orbit propagation and access-calculation services, tasking interfaces, and imagery archives — to agents as robust, secure tools.</li>
<li>Build evaluation suites that score agents on realistic tasking scenarios: collection-deck satisfaction, revisit and timeliness, sensor-to-target pairing quality, schedule validity against high-fidelity astrodynamics and sensor phenomenology, and operator-trust metrics.</li>
<li>Collaborate closely with GEOINT domain experts, former collection managers and operators, scheduling experts, and security/accreditation staff to encode tradecraft, policy, and safety constraints directly into agent behavior.</li>
<li>Mentor and lead a small, high-tempo team of AI and mission-software engineers, and set the engineering standards — code, evaluation, and documentation — the platform is built to.</li>
<li>Build a system that takes all-source inputs to generate context that informs collection needs.</li>
<li>Use LLMs as a development accelerator for scaffolding code, writing tests, and generating documentation — you should be shipping with agents, not just building them.</li>
</ul>
<h2>Required Qualifications:</h2>
<ul>
<li>7+ years of professional experience in software engineering, mission systems, or GEOINT / remote-sensing systems, including demonstrated technical leadership (PI, tech lead, chief engineer, or equivalent) on R&amp;D or prototype efforts for IC or DoD customers.</li>
<li>Deep working knowledge of the GEOINT tasking and collection lifecycle — collection requirements and decks, access windows, sensor phenomenology (EO/IR, SAR, RF), constellation scheduling, and the operational realities of multi-source collection management.</li>
<li>Hands-on experience building LLM-powered agents or tools (professional, research, or serious personal projects), and a demonstrated habit of using LLMs and agents to accelerate development rather than writing all boilerplate by hand.</li>
<li>Strong proficiency in Python and experience building or directing backend services and APIs.</li>
<li>Strong ability to decompose complex, ill-structured mission problems into structured, solvable sub-problems.</li>
<li>Experience carrying a capability across the prototype-to-production gap: hardening, testing, security, and the discipline to be blunt about what is real, what is staged for demos, and what remains to be built.</li>
<li>Multi-disciplinary collaborator who enters unfamiliar domains and establishes useful working depth in days-to-weeks rather than quarters, and who thrives in a short-cycle, high-tempo environment with real customers on the other end.</li>
<li>Active U.S. Top Secret / SCI security clearance (or TS with SCI eligibility).</li>
</ul>
<h2>Preferred Qualifications:</h2>
<ul>
<li>Bachelor’s or advanced degree in Computer Science, Aerospace Engineering, Physics, Mathematics, or a related field; or equivalent experience.</li>
<li>Prior service as a GEOINT collection manager, imagery analyst, or mission operator in the IC or military — or sustained work alongside them — sufficient to speak the operators’ language and earn their trust.</li>
<li>Familiarity with astrodynamics and access-calculation tools (STK, Orekit, GMAT, SGP4/SDP4 propagation) and with constellation scheduling or optimization approaches.</li>
<li>Experience integrating commercial imagery tasking APIs and orchestrating collection across government, commercial, and allied constellations.</li>
<li>Experience with agentic frameworks, MCP, evaluation harnesses, and growing autonomy in operational systems under human-in-the-loop and human-on-the-loop constructs.</li>
<li>Familiarity with classified software development and IC accreditation — developing in and deploying to secure environments, and designing systems with an Authority to Operate (ATO) path in mind.</li>
<li>Zeal for AI and national security space (and other cool tech)</li>
</ul>
Voyager offers a highly competitive total compensation package designed to support the well-being, growth, and success of our employees. Employees benefit from a flexible and comprehensive rewards program that supports both professional and personal well-being.  
<ul>
<li>Flexible Time Off (FTO), empowering employees to take the time they need to recharge and maintain a healthy work-life balance</li>
<li>Comprehensive medical, dental, and vision coverage for employees and their families, with a significant portion of premiums covered by the company and many benefits paid at 100% for employees</li>
<li>Flexible, affordable gym memberships with 12,700+ options nationwide, including 24 Hour Fitness, EoS Fitness, Crunch Fitness, Anytime Fitness, Blink Fitness, Chuze Fitness, and more! No long-term contracts and FREE on-demand workout videos before you enroll</li>
<li>401(k) retirement plan with a 50% company match on contributions up to 8%, supporting long-term financial security</li>
<li>Company wellness programs that support physical and mental well-being</li>
<li>Additional voluntary benefits and employee support resources</li>
<li>The opportunity to work alongside a highly talented team in an innovative, mission-driven environment</li>
</ul>
Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status, or other characteristics protected by law.  
To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) (22 CFR Parts 120–130) and the Export Administration Regulations (EAR) (15 CFR Parts 730–774), applicants for this position must be a U.S. Person: a US Citizen, a lawful permanent resident of the U.S., or a protected individual as defined by 8 U.S.C. § 1324b(a)(3). Applicants must be eligible to obtain any required export authorizations from the U.S. Department of State or the U.S. Department of Commerce. 
Minority/Female/Disabled/Veteran 
The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice. <div><div><div>California pay range</div><div>$170,000—$230,000 USD</div></div></div>

Agentic GEOINT Mission Management Lead

Voyager is an innovative space, defense, and national security technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space. 
Forge the Future: Join Voyager Technologies 
The future belongs to those who build it. At Voyager Technologies, we’re building technologies that protect lives, expand frontiers and prepare us for what’s next. And we’re doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart.  
You’ll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We’re a company of doers, thinkers and builders, united by purpose and grounded in reality. 
If you want to put your skills to work where the stakes are real and the mission is bigger than any one person, forge the future with Voyager. 
The Senior Data Engineer is responsible for designing and implementing the data workflows, integrations, and pipelines that connect enterprise manufacturing, ERP, PLM, MES, and quality systems into a cohesive, governed data ecosystem. This role is critical to enabling end-to-end traceability, operational visibility, and regulatory compliance across multi-site manufacturing operations.
The ideal candidate brings deep experience integrating complex enterprise platforms in regulated manufacturing environments, is fluent in data engineering best practices, and can operate effectively across engineering, operations, IT, and compliance teams. This is a senior individual contributor role with high organizational visibility and direct impact on production operations. This is a remote role based in the US and requires the ability to maintain or obtain a DOD clearance. 
<h4>Key Responsibilities</h4>
<h4>Enterprise System Integration</h4>
<ul>
<li>Design, build, and maintain data integration workflows connecting MES, ERP, PLM, QMS, and supporting enterprise platforms.</li>
<li>Develop and own integration pipelines between systems such as Apriso (Delmia), NetSuite, ForProject, Empower, and 3DX PLM.</li>
<li>Architect and implement API-based, event-driven, and batch integration patterns across cloud and on-premises manufacturing systems.</li>
<li>Build and maintain data flows that support production execution, material management, traceability, scheduling, and quality processes.</li>
<li>Partner with ERP, MES, and PLM implementation teams to design integration points, data contracts, and transformation logic ahead of go-live milestones.</li>
<li>Support multi-site rollout strategies by building reusable, configurable integration templates that can be replicated across facilities.</li>
</ul>
<h4>Manufacturing Data Workflows &amp; Traceability</h4>
<ul>
<li>Design data workflows that support grain-level and sublot traceability across the full manufacturing lifecycle.</li>
<li>Build pipelines that enforce compliance checkpoints including pot life hard stops, e-signature requirements, and hold point validations.</li>
<li>Integrate with LIMS systems to support quality data capture, lab result ingestion, and traceability linkage to production records.</li>
<li>Support automated generation of regulatory document packages (travelers, WARPs, and production records) through structured data workflows.</li>
<li>Develop integrations with PLC/SCADA and automated traceability systems where applicable.</li>
</ul>
<h4>Data Pipeline Development &amp; Architecture</h4>
<ul>
<li>Build and maintain scalable ELT/ETL pipelines for operational, analytical, and compliance reporting workloads.</li>
<li>Architect data flows from source systems through transformation and serving layers with full lineage, observability, and auditability.</li>
<li>Implement data quality frameworks including validation rules, anomaly detection, and SLA monitoring across all pipeline stages.</li>
<li>Define data models, naming conventions, and integration standards in collaboration with the Enterprise Architect and platform teams.</li>
<li>Manage infrastructure-as-code for data integration resources using Terraform or CloudFormation.</li>
</ul>
<h4>Compliance &amp; Regulatory Data Support</h4>
<ul>
<li>Ensure all data workflows and integration designs support applicable regulatory and quality standards including AS9100, DCMA, ATF, and ITAR/EAR.</li>
<li>Build audit-ready data trails and evidence packages that satisfy regulatory inspection and certification requirements.</li>
<li>Partner with compliance, cybersecurity, and quality teams to ensure data handling controls meet organizational and contractual obligations.</li>
<li>Enforce CUI data classification and handling requirements across all integrated systems and pipeline stages.</li>
<li>S. Person required, as defined under ITAR/EAR.</li>
</ul>
<h4>Cloud &amp; Infrastructure</h4>
<ul>
<li>Administer and optimize cloud data services across Azure Government and AWS GovCloud supporting manufacturing data workloads.</li>
<li>Build and maintain CI/CD pipelines for deploying integration artifacts, data pipelines, and configuration changes across environments.</li>
<li>Write and maintain automation scripts in Python and/or PowerShell to support integration operations, data validation, and workflow automation.</li>
<li>Monitor integration health, data freshness, and pipeline performance; implement proactive alerting and self-healing mechanisms.</li>
</ul>
<h4>Collaboration &amp; Documentation</h4>
<ul>
<li>Work closely with operations, engineering, IT, and compliance stakeholders to translate manufacturing requirements into data integration solutions.</li>
<li>Create and maintain thorough documentation for all integration designs, data dictionaries, workflow diagrams, and compliance evidence.</li>
<li>Participate in architecture reviews, sprint planning, and cross-functional implementation working groups.</li>
<li>Serve as a technical resource and mentor for junior data engineers and integration analysts on the team.</li>
</ul>
<h4>Technical Skills</h4>
<h4>MES, ERP &amp; Enterprise Platforms</h4>
<ul>
<li>MES: Apriso (Delmia) - production execution, material management, traceability, regulatory enforcement; DELMIA manufacturing operations</li>
<li>ERP: NetSuite - manufacturing, inventory, procurement, and financial data integration</li>
<li>PLM: 3DX (Dassault Systems) - product lifecycle, BOM, and engineering change integration</li>
<li>Supporting: ForProject, Empower, or equivalent program/project and compliance management platforms</li>
<li>Quality: LIMS integration, QMS platforms, CAPA, FAI/FAIR data flows</li>
</ul>
<h4>Data Integration &amp; Pipeline Tools</h4>
<ul>
<li>ETL/ELT pipeline development - Azure Data Factory, Apache Airflow, dbt, or equivalent</li>
<li>API integration - REST, SOAP, GraphQL, OData; MES and ERP vendor API experience</li>
<li>Event-driven integration - Azure Event Hubs, Service Bus, Kafka, or equivalent messaging platforms</li>
<li>iPaaS / middleware - Azure Integration Services, MuleSoft, Dell Boomi, or equivalent</li>
<li>EDI and flat-file integration patterns for legacy manufacturing system connectivity</li>
</ul>
<h4>Cloud Platforms</h4>
<ul>
<li>Azure Government: Azure Data Factory, Azure Synapse Analytics, ADLS Gen2, Azure Functions, Azure Monitor</li>
<li>AWS GovCloud: S3, Glue, Lambda, Step Functions, RDS</li>
<li>Compliance configurations for regulated cloud environments</li>
</ul>
<h4>Scripting &amp; Programming (Required)</h4>
<ul>
<li>Python - pipeline scripting, API integrations, data transformation, automation</li>
<li>PowerShell - infrastructure automation, Windows/Azure environment scripting</li>
<li>T-SQL / Spark SQL - complex query development, data modeling, transformation logic</li>
<li>PySpark - distributed data processing for large manufacturing datasets</li>
</ul>
<h4>Data Architecture &amp; Modeling</h4>
<ul>
<li>Relational and dimensional data modeling - star schema, snowflake schema, operational data stores</li>
<li>Manufacturing data models - BOM structures, routing, traceability hierarchies, lot/serial genealogy</li>
<li>Medallion architecture (Bronze/Silver/Gold) for operational and analytical workloads</li>
<li>Data lineage, metadata management, and cataloging - Microsoft Purview or equivalent</li>
</ul>
<h4>DevOps &amp; Source Control</h4>
<ul>
<li>Git - version control, branching models, code review workflows (required)</li>
<li>CI/CD - Azure DevOps Pipelines, GitHub Actions</li>
<li>IaC - Terraform, CloudFormation, or Bicep</li>
<li>Docker / Kubernetes basics for containerized integration workloads</li>
</ul>
<h4>Industrial &amp; Automation Systems</h4>
<ul>
<li>PLC/SCADA data integration - OPC-UA, historian databases (OSIsoft PI or equivalent)</li>
<li>Automated traceability system integration - barcode, RFID, vision system data ingestion</li>
<li>Manufacturing execution data patterns - work orders, routing steps, material consumption, quality holds</li>
</ul>
If your experience aligns with our basic qualifications and you are inspired by our mission, we’d like to connect. If you don’t see the right role right now, <a href="https://job-boards.greenhouse.io/voyagertechnologiesinc/jobs/4024393009" rel="noopener noreferrer ugc" target="_blank">Join Our Talent Community</a> and stay connected as we continue to build what’s next. 
<h4>Qualifications</h4>
<h4>Education &amp; Experience</h4>
<ul>
<li>Bachelor's degree in computer science, Information Technology, Data Engineering, or a related field highly preferred or will consider equivalent work-related experience with certifications. </li>
<li>12-15 plus years of data engineering or enterprise integration experience, with significant time in manufacturing or industrial environments.</li>
<li>Demonstrated hands-on experience integrating MES and ERP platforms in a production manufacturing setting.</li>
<li>Experience supporting regulated manufacturing environments (aerospace, defense, ATF-licensed, or equivalent).</li>
<li>Proven ability to deliver complex, multi-system integration projects from design through production go-live.</li>
<li>Experience supporting multi-site technology rollouts strongly preferred.</li>
<li>Security clearance preferred; U.S. Person required, as defined under ITAR/EAR.</li>
</ul>
<h4>Soft Skills</h4>
<ul>
<li>Able to operate at the intersection of manufacturing operations and data engineering - translates shop floor requirements into integration designs.</li>
<li>Strong communicator across technical and non-technical audiences including operations leadership, compliance teams, and external vendors.</li>
<li>Detail-oriented with strong documentation habits; treats integration artifacts as auditable, production-grade deliverables.</li>
<li>Self-directed and proactive in regulated environments where data accuracy and system reliability directly impact production outcomes.</li>
<li>Collaborative - experienced working across IT, engineering, quality, compliance, and external implementation partners.</li>
</ul>
<h4>Preferred Certifications</h4>
<ul>
<li>Microsoft Certified: Azure Data Engineer Associate (DP-203)</li>
<li>Microsoft Certified: Azure Solutions Architect Expert</li>
<li>HashiCorp Certified: Terraform Associate</li>
<li>AWS Certified Data Analytics - Specialty</li>
<li>Dassault Systems / Delima Apriso platform certification (or equivalent MES vendor training)</li>
<li>NetSuite Suite Foundation or Administrator certification</li>
<li>CompTIA Security+ (preferred for environments with compliance requirements)</li>
</ul>
<h4>Working Conditions</h4>
<ul>
<li>Fully remote position; no geographical preference.</li>
<li>Occasional on-site visits to manufacturing facilities may be required during implementation phases and go-live support windows.</li>
<li>Occasional after-hours availability for system cutovers, integration deployments, and incident response.</li>
<li>Active participation in sprint-based delivery against a defined implementation roadmap.</li>
<li>Must comply with all applicable data handling, export control, and CUI policies.</li>
</ul>
The good faith base salary range for this role is $163,000–$205,000 at the time of this posting. Where you fall within the range depends on your experience, skills, and location. This range reflects base salary only and does not include benefits or bonus/incentive. This range may be adjusted in the future.
Voyager offers a highly competitive total compensation package designed to support the well-being, growth, and success of our employees. Employees benefit from a flexible and comprehensive rewards program that supports both professional and personal well-being.  
<ul>
<li>Flexible Time Off (FTO), empowering employees to take the time they need to recharge and maintain a healthy work-life balance</li>
<li>Comprehensive medical, dental, and vision coverage for employees and their families, with a significant portion of premiums covered by the company and many benefits paid at 100% for employees</li>
<li>Flexible, affordable gym memberships with 12,700+ options nationwide, including 24 Hour Fitness, EoS Fitness, Crunch Fitness, Anytime Fitness, Blink Fitness, Chuze Fitness, and more! No long-term contracts and FREE on-demand workout videos before you enroll</li>
<li>401(k) retirement plan with a 50% company match on contributions up to 8%, supporting long-term financial security</li>
<li>Company wellness programs that support physical and mental well-being</li>
<li>Additional voluntary benefits and employee support resources</li>
<li>The opportunity to work alongside a highly talented team in an innovative, mission-driven environment</li>
</ul>
Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status, or other characteristics protected by law.  
To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) (22 CFR Parts 120–130) and the Export Administration Regulations (EAR) (15 CFR Parts 730–774), applicants for this position must be a U.S. Person: a US Citizen, a lawful permanent resident of the U.S., or a protected individual as defined by 8 U.S.C. § 1324b(a)(3). Applicants must be eligible to obtain any required export authorizations from the U.S. Department of State or the U.S. Department of Commerce. 
Minority/Female/Disabled/Veteran 
The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice. <div><div><div>Remote - United States pay range</div><div>$165,000—$205,000 USD</div></div></div>

Senior Data Engineer

Voyager is an innovative defense, national security and space technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space. 
Forge the Future: Join Voyager Technologies 
The future belongs to those who build it. At Voyager Technologies, we’re building technologies that protect lives, expand frontiers and prepare us for what’s next. And we’re doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart.  
You’ll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We’re a company of doers, thinkers and builders, united by purpose and grounded in reality. 
If you want to put your skills to work where the stakes are real and the mission is bigger than any one person, forge the future with Voyager. 
____________________________________________________________________________________ 
Job Summary: 
The Company is currently seeking a Machine Learning Engineer who can develop cutting edge Deep Learning technologies applied to pressing problems in the domain of Computer Vision, Synthetic Aperture Radar (SAR), and Geospatial Exploitation. You will have considerable responsibility, and your role will have direct impact on relevant issues facing the United States government customers.
Responsibilities: 
• Research, conceive, design, prototype and/or implement advanced Deep Neural Network Architectures as well as other relevant Machine Learning models  • Apply deep learning algorithms to train neural networks for object detection and classification • Develop domain-aware pre-processing algorithms, and other methods to increase model generalization  • Apply signal pre-processing techniques on SAR data  • Create physics simulations of various phenomenologies and develop methods to account for bias between simulated and real-world data  • Develop appropriate objective functions and sound performance assessment plans  • Present work at meetings and conferences  • Develop and deliver production-quality code (mainly Python)
 
Required Qualifications: 
<ul>
<li>Must be eligible to obtain and maintain a US Government clearance (requires US citizenship)</li>
<li>0-5 years applicable experience </li>
<li>Bachelor's degree in engineering or a related field</li>
</ul>
 
Preferred Qualifications: 
<ul>
<li>Strong background in Machine Learning (preferably Deep Neural Networks)</li>
<li>Need to be flexible in a small business environment</li>
<li>Familiarity with radar sensing phenomenology</li>
<li>Open Source frameworks is a huge plus</li>
<li>Ability to program in multiple languages (Python, Matlab, C/C++).</li>
</ul>
Please click “Apply” to submit your application. 
The good faith base salary range for this role is $120,000.00 to $170,000.00 at the time of this posting. Where you fall within the range depends on your experience, skills, and location. This range reflects base salary only and does not include benefits or bonus/incentive. This range may be adjusted in the future.
Voyager offers a comprehensive, total compensation package, which includes competitive salary, a discretionary annual bonus plan, paid time off (PTO), a comprehensive health benefit package, retirement savings, wellness program, and various other benefits. When you join our team, you’re not just an employee; you become part of a dynamic community dedicated to innovation and excellence. 
Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.  
Minority/Female/Disabled/Veteran 
To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) (22 CFR Parts 120-130) and the Export Administration Regulations (EAR) (15 CFR Parts 730-774), applicants for this position must be a U.S. Person: a US Citizen, a lawful permanent resident of the U.S., or a protected individual as defined by 8 U.S.C. § 1324b(a)(3). Applicants must be eligible to obtain any required export authorizations from the U.S. Department of State or the U.S. Department of Commerce.
The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice. <div><div><div>California pay range</div><div>$120,000—$170,000 USD</div></div></div>

Machine Learning Engineer - Associate

Voyager is an innovative defense, national security and space technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space. 
Forge the Future: Join Voyager Technologies 
The future belongs to those who build it. At Voyager Technologies, we’re building technologies that protect lives, expand frontiers and prepare us for what’s next. And we’re doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart.  
You’ll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We’re a company of doers, thinkers and builders, united by purpose and grounded in reality. 
If you want to put your skills to work where the stakes are real and the mission is bigger than any one person, forge the future with Voyager. 
____________________________________________________________________________________ 
Job Summary: 
The Company is currently seeking a Machine Learning Engineer who can develop cutting edge Deep Learning technologies applied to pressing problems in the domain of Computer Vision, Synthetic Aperture Radar (SAR), and Geospatial Exploitation. You will have considerable responsibility, and your role will have direct impact on relevant issues facing the United States government customers.
Responsibilities: 
• Research, conceive, design, prototype and/or implement advanced Deep Neural Network Architectures as well as other relevant Machine Learning models  • Apply deep learning algorithms to train neural networks for object detection and classification • Develop domain-aware pre-processing algorithms, and other methods to increase model generalization  • Apply signal pre-processing techniques on SAR data  • Create physics simulations of various phenomenologies and develop methods to account for bias between simulated and real-world data  • Develop appropriate objective functions and sound performance assessment plans  • Present work at meetings and conferences  • Develop and deliver production-quality code (mainly Python)
Required Qualifications: 
• Must be able to obtain and maintain a US government clearance (requires US citizenship) • 5-15 years applicable experience  • Bachelor's degree in engineering or related field
 
Preferred Qualifications: 
<ul>
<li>Master's degree</li>
<li>Strong background in Machine Learning (preferably Deep Neural Networks)</li>
<li>Need to be flexible in a small business environment</li>
<li>Familiarity with radar sensing phenomenology</li>
<li>Open Source frameworks is a huge plus</li>
<li>Ability to program in multiple languages (Python, Matlab, C/C++).</li>
</ul>
Please click “Apply” to submit your application. 
The good faith base salary range for this role is $160,000.00 to $210,000.00 at the time of this posting. Where you fall within the range depends on your experience, skills, and location. This range reflects base salary only and does not include benefits or bonus/incentive. This range may be adjusted in the future.
Voyager offers a comprehensive, total compensation package, which includes competitive salary, a discretionary annual bonus plan, paid time off (PTO), a comprehensive health benefit package, retirement savings, wellness program, and various other benefits. When you join our team, you’re not just an employee; you become part of a dynamic community dedicated to innovation and excellence. 
To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) (22 CFR Parts 120-130) and the Export Administration Regulations (EAR) (15 CFR Parts 730-774), applicants for this position must be a U.S. Person: a US Citizen, a lawful permanent resident of the U.S., or a protected individual as defined by 8 U.S.C. § 1324b(a)(3). Applicants must be eligible to obtain any required export authorizations from the U.S. Department of State or the U.S. Department of Commerce.
Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.  
Minority/Female/Disabled/Veteran 
The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice. <div><div><div>California pay range</div><div>$160,000—$210,000 USD</div></div></div>

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