Ai Automation Analyst

Year    HR, IN, India

Job Description

About iRESTORE Laser:







At iRESTORE, our mission is to restore confidence by providing safe and effective solutions for improving health and beauty. We are at an inflection point in our growth curve and are searching for an AI Automation Specialist to join us on our journey to become a major global beauty brand and hit the $100M mark within the next 3 years.


About The Position:




iRESTORE is hiring a full-time

AI Automation Specialist

to design, build, and maintain workflow automations that attack our biggest growth bottlenecks. You'll work hands-on in n8n (plus Python/JavaScript) to turn manual, error-prone tasks into reliable agents that save time and unlock revenue.


What you'll do:




Map pain points - Interview team members across marketing, ops, CX, and product to identify high-impact, high-effort processes ripe for automation. Ship automations fast - Build, test, and deploy n8n workflows (and occasional custom scripts) for use cases like influencer sourcing, automated reporting dashboards, and an internal iRESTORE knowledge bot. Integrate tools - Connect Shopify, Amazon SP-API, Google Sheets, Slack, Airtable, Klaviyo, etc. using APIs and webhooks. Monitor & iterate - Set up logging, alerting, and SLA checks; refine flows based on usage data and stakeholder feedback. Document & train - Create concise SOPs and Loom walkthroughs so non-technical teammates can self-serve. Track ROI - Quantify hours saved, cost reductions, and incremental revenue driven by each automation.

The ideal candidate has:




Experience in e-commerce, DTC, or Amazon marketplace tooling. Experience building workflow automations (n8n required; Zapier/Make.com plus). Proficiency in JavaScript or Python for custom nodes, API wrappers, and data transforms. Solid grasp of REST APIs, OAuth, and webhook patterns. Strong English communication skills; able to translate business requirements into technical specs. Self-starter mindset, bias for action, comfortable working async with 2-4 hr overlap to Pacific Time.

Nice-to-haves:




Familiarity with vector databases, LangChain/LlamaIndex, and RAG pipelines. Basic SQL and data-viz (Metabase, Looker, Supabase). Knowledge of prompt engineering and LLM orchestration.

KPIs / first-90-day outcomes:




Eliminate 150+ hours of manual work, delivering immediate ROI and boosting team morale Create at least 3 high-impact automations to demonstrate execution velocity and value creation
Achieve an internal NPS ("automation satisfaction") of8/10 -- indicating strong quality and satisfaction from internal users Create playbooks for 100% of automations to ensure scalability and efficient knowledge transfer


Our Core Values and what we built our culture around :




WE THINK BIG: We have a forward-thinking, growth mindset and always consider the big picture in our decisions PROACTIVE PROBLEM SOLVER: We use our problem-solving and analytical skills to make data-informed decisions WE ARE COMFORTABLE BEING UNCOMFORTABLE: We work together to iron out improvements or changes to achieve goals OPEN & HONEST COMMUNICATION/FEEDBACK: We communicate and share feedback with each other with radical candor and transparency CONTINUOUS LEARNING & IMPROVEMENT: We are always improving the way we work and challenging each other to bring new ways of thinking to the table PASSIONATE ABOUT WHAT WE DO: We strive to motivate and empower each other to contribute to a positive team culture

Company Benefits:




Medical and dental benefits after 6 months of tenure Paid Time Off (PTO) for all full-time team members High growth trajectory with quarterly/annual reviews Quarterly Internet Reimbursement Gym membership credit - your physical and mental health is super important Work from anywhere - this is a remote opportunity * Annual Team Bonding Event

Beware of fraud agents! do not pay money to get a job

MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.


Job Detail

  • Job Id
    JD4070314
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    HR, IN, India
  • Education
    Not mentioned
  • Experience
    Year