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Lekshmi Arumugam

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Director of Product at Accenture · prompt design, LLM products

Works at
Accenture
Location
Chennai, India · IST (UTC+5:30)
Experience
11+ years experience
Education
IIT Bombay IDC
Languages
English, Hindi, Tamil

Overview

Director of Product at Accenture, focused on AI features. Cut time-to-first-value for new AI products customers from 20 days to 4. Most at home with user research and LLM products. Marathoner (7 so far).

Good reasons to reach out
  • Working sessions on ML
  • Questions about AI features
  • Second opinions on user research decisions
Please don't message about
  • Unpaid work or spec projects
  • Agency or outsourcing pitches
Skills
LLM productsMLprompt designuser research

Experience

  1. Director of Product
    Sep 2023 - Present
    Accenture · 3 yr 2 mo · Full-time · Chennai, India
    • Cut time-to-first-value for new AI products customers from 19 days to 1.
    • Ran 92 customer interviews before writing the first spec.
    • Took AI products activation from 34% to 49% in three quarters.
  2. Product Manager
    Oct 2020 - Sep 2023
    Boston Consulting Group · 2 yr 11 mo · Full-time · Chennai, India
    • Took AI products activation from 20% to 58% in three quarters.
    • Killed 5 features nobody used and shipped the 2 that customers asked for.
  3. Associate Product Manager
    Jul 2018 - Oct 2020
    Paytm · 2 yr 3 mo · Full-time · Chennai, India
    • Ran 163 customer interviews before writing the first spec.
  4. Associate Product Manager
    Jul 2015 - Apr 2018
    Zoho · 2 yr 9 mo · Full-time · Chennai, India
    • Killed 4 features nobody used and shipped the 4 that customers asked for.

Projects

Conference talk: lessons from AI products
2025

What went wrong and what worked while scaling AI features.

Open-source ML toolkit
2023

A small library for AI features that 88 developers star on GitHub.

References

No references yet.

Education

  1. IIT Bombay IDC
    M.Des, Computer Science
    2019 - 2021
  2. Delhi Technological University
    B.Tech, Computer Science
    2011 - 2015

Details

Compensation expectations
What they are targeting for their next role.
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Direct contact details
Direct email and a scheduling link.
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