Support the Product & Regulatory Operations organization by leading program execution, developing data-driven solutions, leveraging AI-powered tools, and implementing technical process improvements.
Locations (2)
United States
New York City, New York, United States
Responsibilities
Drive program execution across multiple products and platforms by launching new initiatives, accelerating delivery, and improving product outcomes through programmatic and technical solutions.
Analyze and optimize data by writing advanced SQL queries to collect, transform, and interpret product data from multiple sources, identifying trends and insights that inform business decisions.
Develop and maintain dashboards and reports using data visualization and reporting tools to communicate findings, track performance, and enable real-time stakeholder decision-making.
Leverage AI tools and automation to accelerate data analysis, streamline repetitive workflows, and prototype innovative solutions that improve operational efficiency.
Software Engineers work in an exciting, adaptive, and engaging environment enabling rapid learning to drive success. This position will support the shaping of the future of defense systems for the armed forces.
Compensation
The salary range for this role is 37,000 USD - 82,000 USD.
Responsibilities
DEVELOP features
WRITE verification tests
TEST your code
LEAD peer reviews of your code
SUPPORT software integration onto platform hardware
Requirements
Bachelor’s or Advanced degree in Science, Technology, Engineering or Mathematics (STEM)
Nice to have: Rust
Nice to have: Requirements analysis
Nice to have: Requirements decomposition and derivation
Enterprise AI Architect with Full Development Experience (FDE), possessing deep expertise in architecture, hands-on software engineering, AI-assisted development, Agentic AI frameworks, DevSecOps, platform engineering, cloud-native solutions, and enterprise data platforms.
Compensation
Pay Rate Range: $60.60 - 68.18/hr.
Responsibilities
Lead the architecture, design, and implementation of enterprise-scale AI solutions using modern architectural patterns, clean architecture principles, domain-driven design (DDD), and cloud-native technologies.
Define enterprise AI reference architectures, engineering standards, development frameworks, and implementation guardrails to ensure scalability, maintainability, security, and operational excellence.
Drive adoption of Agentic AI, AI-powered software engineering, and intelligent automation across the software delivery lifecycle.
Architect solutions with built-in observability, resilience, governance, security, and compliance from inception through production deployment.
Partner with business, engineering, security, and platform teams to align AI capabilities with enterprise technology strategy and business outcomes.
Requirements
Bachelor's degree or equivalent experience (implied by 8-10 years experience)
Lead architecture, design, and development of enterprise applications while mentoring developers and driving best practices.
Compensation
Salary Range $155,000 - $175,000 This posted range is our best estimate; starting salary will be based on experience level. Additionally, the posted range reflects only base salary and does not include annual bonuses, benefits, or reimbursements.
Responsibilities
Deliver high-quality, scalable code and solutions aligned with business needs and team objectives
Lead the architecture and design of maintainable, enterprise-grade applications
Research, evaluate, and recommend technologies and approaches
Champion best practices in coding, testing, security, and AI use
Innovate and prototype new ways to leverage tools and capabilities
Requirements
Bachelor’s degree in Computer Science, Information Technology, or a related field
Own the outbound product strategy and prioritized plan for key Foundry Agent Service adoption and readiness activities, aligned to measurable customer outcomes.
Locations (2)
Redmond, Washington, United States
United States
Compensation
Product Management IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Responsibilities
Own the outbound product strategy and prioritized plan for key Foundry Agent Service adoption and readiness activities, aligned to measurable customer outcomes.
Engage directly with enterprise customers, partners, internal adopters, and field teams to identify adoption barriers and translate recurring insights into product and roadmap recommendations.
Build and use agents on the platform to create technically credible demos, reference scenarios, tutorials, and product narratives for launches and customer engagements.
Contributing member of a software engineering team focused on the development of embedded software applications for earthmoving equipment.
Compensation
$74,988.00 - $112,476.00 + Benefits
Responsibilities
Design, develop, test, and debug software components used for electronically controlled systems on various earthmoving products, while complying with a defined development process and coding standards
Participate and guide Agile-based software development teams and collaborate with cross-functional product design teams developing various features, such as electro-hydraulics, powertrain, and/or operator interfaces
Perform embedded systems engineering tasking including requirements analysis, concept development, software architecture and design reviews
Utilize software tools and electronic instruments to troubleshoot and debug embedded systems
Provide technical support to the factory, Supply Management, and Product Support during key product development phases
Identify and mitigate program risks by proactively evaluating potential roadblocks, developing data-backed mitigation strategies, and communicating updates across cross-functional teams.
Requirements
Bachelor’s degree in a relevant field or equivalent work experience
Nice to have: Meta product operations experience
Nice to have: low-code/no-code prototyping
Nice to have: AI-assisted code generation
Nice to have: development environments such as VS Code
Partner with engineering, design, product marketing, documentation, support, and sales teams to coordinate launch readiness, feedback loops, and adoption programs.
Develop clear technical storytelling that explains code-to-cloud workflows across GitHub, Coding Agents, Visual Studio Code, Azure, and Foundry Agent Service.