Design, build, and deploy custom AI-enabled software, applications, and agent workflows to support CNAS researchers in AI policy and national security research.
Compensation
$125,000 – $215,000, depending on qualifications and experience.
Responsibilities
Build custom software and tools
Embed with CNAS researchers to build custom code, applications, and AI agent workflows
Rapidly prototype tools and refine them based on usage
Build agents and pipelines for data processing and visualization
Automate business functions
Requirements
Bachelor’s degree in computer science, software engineering, or a related field
Nice to have: 5+ years of professional software engineering experience
Nice to have: Interest in AI policy, national security, or AI safety and security
Nice to have: Experience with think tank, government, or academic research analysis
Nice to have: Experience with data visualization and web development
Build and maintain tools, integrations, and automations that help the Growth team execute faster, turning growth and marketing ideas into working prototypes, experiments, and production tools.
Compensation
Salary Range: 115,000 and up annually, plus equity and benefits.
Responsibilities
Build and maintain tools, integrations, and automations that help the Growth team execute faster.
Turn growth and marketing ideas into working prototypes, experiments, and production tools.
Troubleshoot broken workflows and integrations, resolve urgent issues, and address recurring problems at the source.
Connect APIs and data sources to reduce manual work and make existing tools work better together.
Use AI coding tools to accelerate development while taking responsibility for code quality, testing, and reliability.
Requirements
Bachelor’s Degree in Computer Science, Software Engineering, or a closely related field
Full Stack Software Engineer to own the software that runs our lab and our business.
Compensation
Compensation: $150,000 – $160,000 + equity. The compensation for this role is $150,000 – $160,000 along with equity options in the company and benefits.
Responsibilities
Maintain and extend our customer-facing app, including sample submission, result reporting, and customer accounts
Build integrations between lab instruments, automation systems, and our software
Build internal lab management tools that make our scientists faster and reduce manual work
Build and maintain business systems, including invoicing, customer management, and reporting
Design and maintain the APIs and webhooks that customers use to integrate with us
Requirements
BS or higher in computer science, engineering, or a related field, or equivalent experience
Senior Brand Designer responsible for evolving and extending the visual identity and brand system across the SpaceXSI ecosystem, creating AI-assisted workflows, and leading campaigns and creative direction.
Locations (2)
San Francisco, California, United States
New York, New York, United States
Compensation
Annual Salary: $172,000 - $250,000 USD
Responsibilities
Evolve and extend the visual identity and document it for cross-team use
Turn recurring design work into repeatable, AI-assisted workflows
Concept and design campaigns end to end across multiple channels
Direct agencies and freelancers with clear briefs and feedback
Partner with marketing, product, engineering, and leadership to bring brand perspective
Requirements
Nice to have: Cursor AI tools
Nice to have: Portfolio of brand system work and shipped campaigns
Build and ship live and game features across the full stack using AI coding tools, contributing to a velocity that redefines what a small engineering team can deliver.
Compensation
$178,000 –$223,000 base + equity + benefits
Responsibilities
Build and ship live and game features across the full stack using AI coding tools
Take ownership of your features end to end, from development through deployment
The AI Capabilities Intern – AI Architecture, Enablement & Tools will join the AI Capabilities & Governance team within Zoetis Tech & Digital (ZTD) to support the enterprise generative AI platform, evaluate and enable new AI tools, and document AI architecture and integration patterns.
Locations (3)
Kalamazoo, Michigan, United States
Parsippany, New Jersey, United States
United States
Compensation
The following hourly pay rates reflect the anticipated base pay for this position:
Associate-level degree: $16.00/hour
Undergraduate-level degree: $22.00/hour
Graduate-level degree: $32.50/hour
Doctorate-level degree: $36.00/hour
For candidates located in California, Connecticut, District of Columbia, Illinois (Chicago area), Massachusetts, New Jersey, New York, or Washington (Seattle area), the anticipated hourly base pay rates are:
Associate-level degree: $17.00/hour
Undergraduate-level degree: $24.20/hour
Graduate-level degree: $36.40/hour
Doctorate-level degree: $40.30/hour
Responsibilities
Partner with business users to identify, document, and implement AI use cases within the enterprise generative AI platform.
Build and ship features for an AI-enabled revenue cycle management platform, including full-stack development, event-driven services, integrations, and AI agent orchestration.
Locations (2)
Chicago, Illinois, United States
United States
Compensation
The target base compensation for this position is $130,000 to $160,000 USD per year in most US locations. Final offer amounts are determined by multiple factors including location, local market variances, and candidate experience and expertise, and may vary from the amounts listed above.
Responsibilities
Build and ship features across a full-stack RCM worklist platform, from the user interface through backend services, APIs, and the data model
Develop event-driven services and workflows that route, prioritize, and track work across people and AI agents
Help build the shared automation foundation: the queues, state, and handoff logic that let an AI agent pick up a work item, finish it, or hand it back to a person, along with audit history, approval gates, and access controls for agent actions
Build and maintain integrations that connect the platform with EverHealth products, our clearinghouse, and third-party systems
Project Manager, AI Model Enablement and Agentic SDLC
Lead and coordinate AI model enablement and agentic development initiatives across engineering, security, data science, legal, and IT to drive adoption and improve program management processes.
Compensation
The base salary range for this position for all U.S. candidates is $85,000 - $120,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package
Responsibilities
Lead end-to-end execution of TechOps AI initiatives
Plan and coordinate model access, evaluation, and approval processes
Align cross-functional teams and act as bridge between technical and non-technical stakeholders
Own status reporting and communication for small to mid-size projects
Drive adoption of new AI-assisted and agentic ways of working
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