Lead end-to-end software projects across Cambium’s platform, designing, developing, and deploying major features while mentoring teammates and shaping architectural decisions.
Responsibilities
Lead design, development, and deployment of major platform features
Own product surfaces end-to-end by talking to users, shipping full-stack applications, keeping production apps healthy, and raising the bar on reliability and UX.
Locations (2)
San Francisco, California, United States
New York, New York, United States
Compensation
Annual Salary: $240,000 - $325,000 USD
Responsibilities
Design, build, and ship full-stack features for GTM Apps (TypeScript / Next.js and our shared internal stack), from idea through production
Enable our world-class sales team to exceed their ambitious goals with world-class software; own a product surface and drive its roadmap (e.g. account intelligence, pricing, forecasting, our internal data API, etc)
Partner closely with RevOps, Data Engineering, and field teams to turn messy operational processes into durable software
Improve the reliability, performance, and user experience for critical software our GTM teams depend on for daily work
Build and maintain shared infrastructure other GTM builders can use (e.g. APIs, UI libraries, authentication frameworks, etc)
You embed directly with customer teams as the engineer on the ground: own an outcome, ship a production-grade SpaceXSI system that still runs after you leave, and become the critical technical feedback loop from the field back to product engineering.
Responsibilities
Lead discovery with the customer: orient in their codebases and workflows, find the real bottleneck and the use case worth building, and define clear success metrics
Design and ship production agents, AI applications, and coding-agent workflows on Grok and our models, on live business processes and inside the customer’s engineering org
Get a first version live in days, then harden it over weeks with rollout, monitoring, and iteration from real usage
Own production quality: tracing, evals, debugging model or delivery failures, and latency and cost tradeoffs
Build the systems around the model (tools, MCP servers, retrieval, rules, skills, CI gates, and evals) and integrate them into the customer’s auth, data, workflow, and delivery systems; decide when prompting, architecture, data, process, or a model change is the right lever
Embed directly with customer teams as the engineer on the ground, owning outcomes and shipping production-grade SpaceXSI systems that run after you leave.
Responsibilities
Lead discovery with the customer
Design and ship production agents, AI applications, and coding‑agent workflows
Get a first version live in days, then harden it over weeks
Own production quality: tracing, evals, debugging, latency and cost tradeoffs
Build the systems around the model and integrate them into the customer’s auth, data, workflow, and delivery systems
The Data Management Intern will support critical initiatives in defense data handling and analysis, managing DoD test data and digitizing historical archives.
Responsibilities
Assist in the ingestion, organization, and processing of DoD test data from various mission sources, ensuring accurate and timely delivery to weapon system analysts for evaluation and decision-making.
Support the digitization of a national archive, including scanning, cataloging, and metadata tagging of historical documents to enhance accessibility and preservation.
Contribute to data management tasks related to elite missile defense systems, such as data validation, quality assurance, and integration into analytical workflows.
Collaborate with cross-functional teams to develop and implement data protocols that comply with DoD security standards and regulations.
Perform routine data audits, generate reports on data integrity, and identify opportunities for process improvements.
Requirements
Current enrollment in an undergraduate or graduate program in Data Science, Information Technology, Computer Science, Engineering, or a related field
Nice to have: DoD data standards
Nice to have: NIST compliance
Nice to have: Mission test data protocols
Nice to have: Defense, aerospace, or government sector experience
The AI Embedded Business Automation Engineer will work within functional departments across the organization to uncover opportunities where AI, automation, and better system design can meaningfully improve business operations.
Responsibilities
Uncover opportunities where AI, automation, and better system design can meaningfully improve business operations.
Work directly with business teams to understand how work happens today, pinpoint manual handoffs, rework, delays, and exception-heavy processes.
Design, prototype, and deliver technical solutions that make day-to-day work faster, smarter, and more scalable.
Translate complex business needs, strategic objectives, and operational challenges into actionable technical requirements, architectural designs, and scalable AI and data solutions.
Translate sophisticated technical concepts, architectural decisions, and solution limitations into clear, concise, business-oriented recommendations.
Support enterprise-wide Customer Identity and Access Management (CIAM) services, including authentication, provisioning, federation, directory services, and related identity platforms.
Responsibilities
Support CIAM services across the enterprise
Act as senior technical resource for CIAM SecDevOps and Operations
Lead technical escalations and production incidents, including 24x7 support
Enhance SecDevOps processes, practices, automation frameworks, and engineering standards
Develop, maintain, and enhance CI/CD pipelines with automated build, testing, deployment, security scanning, vulnerability detection, and configuration validation
The Senior Analytics Developer uncovers insights that drive strategy and optimal decision making for the executive team and leaders across the organization.
Responsibilities
Delivering data warehouse and analytic solutions by writing ETL packages
Developing visualizations
Performing data and statistical analyses
Administering systems to deliver information to the health system
Serves as a functional and content expert of pipelines to synthesize raw data into actionable information
Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree
Nice to have: 1+ years of rigorous experience building single page web applications
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