We are hiring an AI Automation Engineer to find high-leverage workflow problems and ship reliable systems that improve revenue per employee. Include “AI automation is cool” in the subject line. Otherwise, your application will be disqualified.
You will own the full path from process discovery through build, rollout, monitoring, documentation, and measured adoption. A demo is not done. The system must work for the people who depend on it.
Single Grain is a revenue marketing agency. We build pipeline-focused systems that compound, not campaigns that expire. We have helped more than 500 companies, from venture-backed startups to the Fortune 500, drive measurable growth.
We operate as an AI-native team. Every role uses AI to improve speed, quality, judgment, and leverage. AI systems still require clear controls, testing, monitoring, and human review.
Build automation systems that create at least $250,000 in annualized efficiency or equivalent documented business leverage and help double revenue per employee over 12 months.
Map current workflows with the people who do the work.
Rank opportunities by frequency, time, error cost, business value, and implementation risk.
Build production automations across approved AI models, APIs, data sources, and workflow tools.
Add validation, retries, logging, alerts, access controls, and human approval where needed.
Train users, document the system, measure adoption, and close gaps after launch.
Track time saved, cost avoided, cycle-time change, quality, revenue effect, or another approved KPI.
Maintain existing automations and retire systems that no longer create value.
In 30 days, you have mapped the highest-value workflows, set baselines, and shipped one useful production automation.
By 60 days, you have multiple adopted systems with monitoring, owners, documentation, and measured results.
By 90 days, the automation backlog is prioritized by ROI and your shipped systems show meaningful annualized leverage.
Two or three production automations with your exact ownership.
One measured result tied to time, cost, quality, revenue, adoption, or cycle time.
An example of diagnosing a workflow before choosing a tool.
Evidence of error handling, monitoring, data controls, and human escalation.
A concrete AI automation workflow and an honest account of what failed or changed.
A prompt-only or prototype-only role.
A role that automates a broken process without understanding it.
A role that reports theoretical time savings without adoption evidence.
A role for unmonitored systems with unclear ownership.
Application and evidence review.
A focused workflow and engineering screen.
The published Beat Claude engineering challenge.
A live system-design and tradeoff review.
References and final decision.
This is a fully remote, full-time contractor role. Pay is $25 per hour. State your location, working-hour overlap, and start date.
Send links or documentation for production automations, explain your exact ownership, quantify one result, and describe how you handle reliability, adoption, and human oversight.
AI Automation Engineer • Los Angeles, California, United States
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