AI Enablement Lead

Crux

4d•$126,000 - $145,000•Remote

About The Position

Crux is hiring an AI Enablement Lead to make AI a default part of how the company works. The role combines hands-on building with teaching and enablement: embedding with teams to identify workflows where AI can meaningfully improve work, supporting or building tools and solutions, and helping colleagues adopt them through onboarding, training, coaching, and other programs. The AI Enablement Lead will own company-wide AI learning and adoption programs, including onboarding, curriculum, and cohort programs. They will partner with teams to diagnose workflow challenges and turn ambiguous needs into practical tools, workflows, or harnesses that ship and are used. The role will also define AI fluency standards and quality thresholds, coach employees on AI-assisted work, communicate AI policies and tooling decisions, flag workflows that may involve compliance obligations, and keep the company informed about new models and capabilities. Crux is a clean-economy capital platform operating in a regulated market. The company has a remote-first operating model, with employees able to work anywhere in the US and Canada or from optional offices in Washington, DC, New York City, and San Francisco. The position offers a base salary of $126,000–$145,000, depending on leveling and years of experience, a company-wide bonus tied to revenue goals, stock options, and the benefits listed in the posting.

Requirements

At least 4 years of experience in technology enablement, learning and development, technical training, or a related field, including helping teams adopt new tools and ways of working.
Experience designing and delivering onboarding, workshops, coaching, or learning programs for audiences with varying technical abilities, with demonstrated improvements in adoption, proficiency, or productivity.
Hands-on experience building and deploying AI-powered tools, agents, integrations, or automated workflows that others actively use.
Familiarity with tools such as Claude Code, GitHub, Zapier, n8n, or similar platforms; a formal engineering background is not required.
Experience partnering with business teams to diagnose workflow challenges, identify improvement opportunities, and translate ambiguous needs into practical solutions.
Ability to influence colleagues and senior stakeholders without direct authority, build trust, address skepticism, and support lasting changes in how people work.
Experience independently building and managing programs from the ground up, prioritizing competing needs, measuring results, and adapting based on feedback and usage.
Ability to evaluate AI-generated work for accuracy, quality, and usefulness; provide actionable coaching; and recognize when a workflow needs additional privacy or compliance review.

Nice To Haves

Background in finance, climate, or another regulated industry.
Data fluency, including Omni, BigQuery, or enough SQL to be dangerous.
Experience in a Series A/B environment.

Responsibilities

Raise company-wide AI fluency so AI becomes a default part of employees’ work and team leads redesign workflows around it.
Own AI onboarding, curriculum, and cohort programs.
Embed with teams to diagnose where AI can meaningfully change work and translate opportunities into tools, workflows, or harnesses that are deployed and used.
Build solutions directly or coach team members who will build them.
Design, deliver, measure, and adapt enablement formats such as office hours, workshops, courses, team engagements, and communication cadences.
Own the AI fluency rubric and quality thresholds for AI-assisted work.
Coach employees to improve the quality of AI-assisted outputs and reduce low-quality AI-generated work across the organization.
Teach employees when to use AI differently or not at all.
Communicate AI access, tooling, and spending decisions in an understandable and useful way.
Identify when workflows may involve compliance obligations in a broker-dealer context and raise concerns before solutions ship.
Keep the team informed about new AI models and capabilities in actionable ways.

Benefits

Company-wide bonus tied to revenue goals.
Stock options.
Medical insurance premiums covered 100% for employees, with plans through Aetna nationwide and Kaiser in Washington and California; dependents are subsidized at 70% in total as a group, if relevant.
Dental and vision premiums covered 100% for employees and 50% for dependents, if relevant.
10 company holidays per year.
20 days of paid time off per year.
401(k) account; no matching program is currently set up.
Parental leave: 16 weeks for birthing parents and 12 weeks for non-birthing parents.
Remote-first work from anywhere in the US and Canada, or optional offices in Washington, DC, New York City, and San Francisco; optional coworking opportunities are also mentioned in other cities.
Company-wide team offsites twice a year; individual teams may meet more frequently.