1 day ago be among the first 25 applicants get ai-powered advice on this job and more exclusive features. lots of teams see al's potential but get stuck turning ideas into action. al automation engineers close that gap. they rapidly prototype and ship practical solutions using tools like zapier, airtable, chatgpt, claude, cursor, mcp servers, and more. by embedding directly within teams, these 'engineers' make sure every automation fits seamlessly into daily workflows and drives real results. what they do - al workflow triage: identify and prioritize tasks ripe for automation first across product, cloud services, support and engineering followed by sales, recruiting, ops, and more. - rapid prototyping: quickly build mvps using lovable, implement mcps, cursor, claude code, llm apls, and/or agent frameworks like n8n to remove bottlenecks (ex: generate linear tickets from notion stories). - embed with teams: sit alongside teams for 2-4 weeks to observe and redesign workflows with al. - scale internal tools: turn prototypes into durable systems (adding error handling, observability, logging, etc). - debug pesty al failures: investigate and resolve errors, refine prompts, and adjust logic when automations break. - teach and evangelize: host workshops, share prompts and rules, build playbooks, and train team leads on when and how to use al safely and effectively. - measure and optimize: track hours saved, quality improvements, and adoption. in other words, quantify the business outcome of each deployment. skills & competencies to consider - technical execution: proven rapid...
1 day ago be among the first 25 applicants get ai-powered advice on this job and more exclusive features. lots of teams see al's potential but get stuck turning ideas into action. al automation engineers close that gap. they rapidly prototype and ship practical solutions using tools like zapier, airtable, chatgpt, claude, cursor, mcp servers, and more. by embedding directly within teams, these 'engineers' make sure every automation fits seamlessly into daily workflows and drives real results. what they do al workflow triage: identify and prioritize tasks ripe for automation first across product, cloud services, support and engineering followed by sales, recruiting, ops, and more. rapid prototyping: quickly build mvps using lovable, implement mcps, cursor, claude code, llm apls, and/or agent frameworks like n8n to remove bottlenecks (ex: generate linear tickets from notion stories). embed with teams: sit alongside teams for 2-4 weeks to observe and redesign workflows with al. scale internal tools: turn prototypes into durable systems (adding error handling, observability, logging, etc). debug pesty al failures: investigate and resolve errors, refine prompts, and adjust logic when automations break. teach and evangelize: host workshops, share prompts and rules, build playbooks, and train team leads on when and how to use al safely and effectively. measure and optimize: track hours saved, quality improvements, and adoption. in other words, quantify the business outcome of each deployment. skills & competencies to consider technical execution: proven rapid prototyping ability w...
1 day ago be among the first 25 applicants get ai-powered advice on this job and more exclusive features. lots of teams see al's potential but get stuck turning ideas into action. al automation engineers close that gap. they rapidly prototype and ship practical solutions using tools like zapier, airtable, chatgpt, claude, cursor, mcp servers, and more. by embedding directly within teams, these 'engineers' make sure every automation fits seamlessly into daily workflows and drives real results. what they do - al workflow triage: identify and prioritize tasks ripe for automation first across product, cloud services, support and engineering followed by sales, recruiting, ops, and more. - rapid prototyping: quickly build mvps using lovable, implement mcps, cursor, claude code, llm apls, and/or agent frameworks like n8n to remove bottlenecks (ex: generate linear tickets from notion stories). - embed with teams: sit alongside teams for 2-4 weeks to observe and redesign workflows with al. - scale internal tools: turn prototypes into durable systems (adding error handling, observability, logging, etc). - debug pesty al failures: investigate and resolve errors, refine prompts, and adjust logic when automations break. - teach and evangelize: host workshops, share prompts and rules, build playbooks, and train team leads on when and how to use al safely and effectively. - measure and optimize: track hours saved, quality improvements, and adoption. in other words, quantify the business outcome of each deployment. skills & competencies to consider - technical execution: proven r...
1 day ago be among the first 25 applicants get ai-powered advice on this job and more exclusive features. lots of teams see al's potential but get stuck turning ideas into action. al automation engineers close that gap. they rapidly prototype and ship practical solutions using tools like zapier, airtable, chatgpt, claude, cursor, mcp servers, and more. by embedding directly within teams, these 'engineers' make sure every automation fits seamlessly into daily workflows and drives real results. what they do - al workflow triage: identify and prioritize tasks ripe for automation first across product, cloud services, support and engineering followed by sales, recruiting, ops, and more. - rapid prototyping: quickly build mvps using lovable, implement mcps, cursor, claude code, llm apls, and/or agent frameworks like n8n to remove bottlenecks (ex: generate linear tickets from notion stories). - embed with teams: sit alongside teams for 2-4 weeks to observe and redesign workflows with al. - scale internal tools: turn prototypes into durable systems (adding error handling, observability, logging, etc). - debug pesty al failures: investigate and resolve errors, refine prompts, and adjust logic when automations break. - teach and evangelize: host workshops, share prompts and rules, build playbooks, and train team leads on when and how to use al safely and effectively. - measure and optimize: track hours saved, quality improvements, and adoption. in other words, quantify the business outcome of each deployment. skills & competencies to consider - technical exe...
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