AI Automation Senior Lead
Lantern · New York, NY
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Jul 13, 2026
New York, NY
Jul 21, 2026
What this job asks for AI summary
This role sits at the intersection of AI development and commercial operations, embedding with go-to-market teams to diagnose workflow problems and build AI-powered solutions that address root causes rather than patching broken processes. The position covers the full lifecycle — discovery, design, deployment, user training, and adoption — while also running enablement programs and hackathons. It suits an experienced operator or engineer who has hands-on, shipped AI tooling in a fast-moving environment.
Senior level · 6+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 1,600 people nationally plausibly meet what this posting asks for (computer occupations, all other). range 470–2,400
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $119,144 (middle half $81,115–$160,963).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (11)
The role is a hybrid of Revenue Operations, AI engineering, and product/process design — it does not map cleanly to any single SOC code. 15-1299 (Computer Occupations, All Other) is used as the best fit for an AI-focused solutions/automation builder embedded in a commercial team; 15-1252 (Software Developers) is a plausible alternative given the emphasis on building and deploying real shipped solutions.
No work location or metro is specified in the posting. The role appears to be remote or location-flexible based on the nationwide employer context, but this is not explicitly stated.
The 6-12+ year range is stated against a list of eligible disciplines (Revenue Operations, Solutions Engineering, Software Engineering, or Product Management) — treated as the overall experience gate (the overall years minimum of 6).
Clay is listed with a '1-3 years experience' qualifier alongside the other tools in the same required block; the years demanded of 1 reflects the stated minimum. The other co-listed tools (Copilot, n8n/Power Automate, Databricks, Salesforce, Excel/Sheets) carry no separate year count.
Claude Code is called out explicitly as a hard requirement ('Expert with Claude Code') and is the primary AI tool named.
n8n and Microsoft Power Automate are presented as interchangeable alternatives ('n8n, Microsoft Power Automate or similar'); the 'or similar' qualifier means the requirement is for workflow automation capability, not a specific tool — common alternatives are captured.
Databricks is listed with 'or similar'; no specific named alternative is given in the JD, so well-known substitutes (Snowflake, Azure Synapse) would apply, but the field is left to the canonical name per instructions.
Training/enablement/change management and digital health experience are listed under the 'Bonus if you have' section — treated as preferred.
AI/ML tools is a broad required skill inferred from the core requirement to 'build, prototype, and deploy real, shipped solutions' using AI tooling; this is the overarching capability gate beyond the specific named tools.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): change management.
This posting reads as a fully-remote role, so it was scored against the national candidate pool rather than a single metro.
Read the full posting
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