As a Full-Stack Developer, you'll join one of our development squads and help drive the evolution of our products using a stack including React, Next.js, Typescript, and AWS/GCP.
Locations (2)
Stockholm, Stockholm County, Sweden
Sheffield, South Yorkshire, United Kingdom
Responsibilities
supporting colleagues through code reviews
knowledge sharing sessions
coaching
evaluating new technologies to keep us efficient and scalable
writing code that raises the bar for what 'good' looks like
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
Lead the design, build, and maintenance of backend services and frontend components for a multi‑tenant SaaS platform that connects utilities with consumer platforms.
Responsibilities
Design, build, and maintain scalable APIs and backend services with TypeScript and Node.js/NestJS.
Contribute to frontend development with TypeScript and React.
Deliver reusable, well‑tested code.
Build integrations connecting utility systems with external consumer platforms.
Develop secure data exchange services within a multi‑tenant SaaS architecture.
Focused on building demand generation and account-based marketing (ABM) programs to help win and expand strategic accounts for SpaceXSI. This is an execution-heavy role involving copy writing, program execution, and data-driven optimization.
Compensation
Annual compensation range for this role is listed below. $144,000 - $176,000 USD
Responsibilities
Build and run programs for priority accounts and segments
Design and run ABM programs for clusters of strategic accounts grouped by vertical, tech stack, use case, or buying-group pattern
Scale what works into 1:many programmatic plays across a broader target list of prospects and customers
Map buying centers inside each account and build multithreaded plays
Turn account intelligence, intent, and usage signals into tailored campaign treatments
Build and deliver technical learning content and workshops to help engineering teams adopt AI coding tools and new product capabilities.
Compensation
Annual Salary:
$130,000 - $210,000 USD
Responsibilities
Build our technical learning library, including code walkthroughs, tutorials, labs, workshops, reference implementations, and instructor-led training
Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools and drive measurable outcomes
Partner with Product, Engineering, DevRel, and Go-to-Market ahead of major launches so new capabilities ship with clear educational framing, practical examples, and adoption paths on day one
Get Field Engineers, AI Deployment Managers, and Solutions Architects up to speed quickly on new capabilities
Design learning experiences for both developers and non-technical users (e.g. engineering leaders evaluating rollout, PMs pairing with agents)
Requirements
Nice to have: Hands-on experience across the software development lifecycle
Nice to have: Daily use of AI coding tools
Nice to have: Experience building demo environments
Nice to have: Experience designing technical curriculum or learning programs
Nice to have: Experience presenting complex technical concepts to engineering leaders and executives
Field Engineers to partner with prospective and strategic customers across Public Sector, acting as the technical face of SpaceXSI for federal civilian and defense agencies.
Compensation
The expected annual base salary range for this role is $164,500 - $224,000. This role is also eligible for sales commissions or bonuses, with an annual on-target earnings (OTE) range of $235,000 - $320,000. OTE includes base salary plus target incentive compensation, assuming 100% achievement of applicable performance targets.
Responsibilities
Partner with AEs to own technical discovery, demos, POCs, and technical validation for new deals and expansion
Build trusted relationships with engineering, security, product, and IT stakeholders across agencies
Work in mission-critical and high-security environments, including developer workflows, AI tooling, and complex or constrained setups
Help customers connect our platform to outcomes that matter, including developer productivity, secure software delivery, and mission velocity
Deliver technical presentations, whiteboards, and workshops for technical and executive audiences
Requirements
Nice to have: software development
Nice to have: SDLC
Nice to have: AI coding tools
Nice to have: constrained or air-gapped environments
Nice to have: presenting technical concepts to CTOs, CISOs
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