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Joans

CAREERS / REBELHQ

Build the operating infrastructure behind AI-native businesses.

These roles work across Joan and the specialist Joans practice. In financial services, the work must respect institutional methods, information boundaries, human authority and regulated records while still reaching production.

LOCATION

United States · Remote

Client travel when required

ENGAGEMENT

Full-time or contract

Both paths are open for every role

COMPENSATION

Published below

Offer depends on experience, location, scope and structure

OPEN ROLES

Four accountabilities. One delivery system.

The engagement lead owns the client result. Workflow architects redesign and configure how work operates. The AI engineer builds the custom production systems required when native platforms need to go further.

01 / CLIENT DELIVERY

Client Engagement & Delivery Lead

Own the client relationship, engagement mandate and delivery system from agreed responsibility through accepted results.

WHAT YOU WILL OWN

  • Establish priorities, decision rights, responsibilities and operating cadence.
  • Maintain the working relationship with executives, process owners and users.
  • Translate business priorities into clear work for architects and engineers.
  • Keep scope, dependencies, risks, decisions and acceptance criteria visible.
  • Drive adoption, handover and evidence that the resulting system is operating.

WHAT WE ARE LOOKING FOR

Senior consulting, transformation, delivery or operating leadership experience. You can work credibly with executives and technical teams, bring structure without bureaucracy, and remain accountable for forward motion rather than activity.

02 / MICROSOFT WORK SYSTEMS

Forward-Deployed AI Workflow ArchitectMICROSOFT

Turn Microsoft 365 and Microsoft’s AI environment into a working operating layer around the people, information and decisions inside a client organization.

WHAT YOU WILL OWN

  • Map how individuals and teams work, including decisions, exceptions and handoffs.
  • Configure Microsoft 365, Copilot and related AI capabilities around real roles and responsibilities.
  • Design organizational, team and user context, knowledge boundaries, skills and repeatable workflows.
  • Build appropriate native agents, low-code automation and connections to approved information.
  • Train users, observe real use and specify where custom agent engineering is required.

WHAT WE ARE LOOKING FOR

Deep Microsoft platform fluency combined with operating judgment. You understand Microsoft 365 administration, identity and information boundaries, but your work begins with how the institution operates—not with a product demonstration.

03 / FRONTIER AI WORK SYSTEMS

Forward-Deployed AI Workflow ArchitectCLAUDE & OPENAI

Redesign how teams work with Claude, ChatGPT and related agentic tools, then configure the context, knowledge, skills and controls that make those workflows dependable.

WHAT YOU WILL OWN

  • Discover the work beneath the process diagram: judgment, information, exceptions and approvals.
  • Design human-and-agent workflows with explicit roles, context, evidence and review boundaries.
  • Configure Claude and OpenAI organizational environments, projects, skills and reusable methods.
  • Connect approved tools and information sources through native capabilities and MCP where appropriate.
  • Work alongside users until the new method is adopted, measured and ready to hand over.

WHAT WE ARE LOOKING FOR

Experience changing how knowledge work operates, supported by strong hands-on ability with Claude, ChatGPT and agentic tooling. This is not a prompt-writing or classroom-training position. You must make the resulting system work with real users.

04 / APPLIED AI ENGINEERING

Forward-Deployed AI EngineerAGENTS & APPLIED AI

Build the custom agents, applications and production AI systems required when configured platforms and native capabilities need to go further.

WHAT YOU WILL OWN

  • Design and build custom agents, tools, services, APIs and systems integrations.
  • Implement orchestration, retrieval, structured context, memory and governed data flows.
  • Choose and integrate models without making the architecture dependent on one provider.
  • Own evaluation, testing, observability, permissions, failure handling and production reliability.
  • Turn useful client-specific learning into secure, reusable engineering patterns.

WHAT WE ARE LOOKING FOR

A senior software or AI engineer who has shipped consequential systems into production. You are comfortable with modern model APIs, agent frameworks, cloud infrastructure and difficult enterprise integration—and equally comfortable working directly with users.

HOW TO APPLY

Show us work that reached the real world.

Email a resume or LinkedIn profile and a short note describing a system, operating sequence or client engagement you personally helped put into operation. Tell us which role fits and whether you are interested in full-time employment, contract work or either.

Email rebel@rebelhq.ai