Careers at Altitude 7
Build what's next.
Then help others use it.
We build practical AI agents for investment managers. We are looking for a client-facing builder who can turn ambiguous business problems into reliable systems and explain them clearly.
View the roleAI Enablement &
Implementation Specialist
Work directly with Altitude 7's founder to build, test, deploy, and explain applied AI systems for hedge funds and investment managers. The role combines hands-on agent development, client discovery, implementation, documentation, and training.
Commitment
Full-time
Base salary
$110,000–$140,000
Location
Remote within the United States
Travel
Occasional client delivery in New York
What you will do
- Build, test, deploy, and maintain practical AI agents and workflow automations.
- Translate client workflows into clear technical requirements and implementation plans.
- Use language-model APIs, Python, integrations, MCP, retrieval systems, and modern agent frameworks to create reliable solutions.
- Evaluate outputs, investigate failures, improve reliability, and document controls and operating procedures.
- Prepare and deliver practical training on Claude, ChatGPT, Claude Code, Codex, and agent-based workflows.
- Communicate directly with investment managers and their research, operations, technology, and compliance teams.
- Consider security, permissions, monitoring, auditability, compliance, and the blast radius of failures before deployment.
Who thrives here
Evidence matters more than pedigree.
You may be an experienced practitioner or an unusually capable earlier-career candidate. Demonstrated ability, learning velocity, communication, and ownership matter more than tenure alone.
Builds real systems
You have personally built an AI agent, automation, or LLM-enabled application and can explain the architecture, failures, testing, and tradeoffs.
Learning velocity
AI tooling changes weekly. You enjoy learning unfamiliar products, testing them properly, and forming your own view rather than repeating the latest claim.
Client confidence
You can lead a conversation, listen carefully, think on your feet, and explain technical tradeoffs clearly to sophisticated non-technical users.
Business and risk judgment
You connect technology to real workflows and consider permissions, data handling, monitoring, compliance, and appropriate human review.
How we hire
Evidence before credentials.
The process is designed to reveal how you build, communicate, and learn—not how well you rehearse an interview.
Application and evidence review
Share your resume and evidence of something you personally built. We review the problem, your ownership, what failed, and what you learned.
Structured live screen
A focused conversation about your goals, strengths, development areas, most relevant work, availability, and practical fit for the role.
Deeper work-history interview
A chronological discussion of the roles and projects that best demonstrate how you build, learn, communicate, respond to feedback, and deliver outcomes.
Paid practical exercise
Finalists complete a short, contained build-and-teach exercise based on the work they would actually perform at Altitude 7.
References and mutual diligence
With your permission, we speak with job-relevant references and make sure the role, working style, expectations, and opportunity are a strong mutual fit.
A transparent, human-reviewed process
AI tools may help us organize and summarize application materials, but people review the underlying evidence and make all advancement and hiring decisions. We provide reasonable accommodations and an alternative assessment format on request. Altitude 7 is an equal opportunity employer.