Alisha Chaudhari profile photo 1 on Tal

Alisha Chaudhari

AI Product Manager | Built & launched a GenAI agent 0→1 | +25% engagement, +12% conversion | Ex-S&P Global, WNS | LLMs, RAG, A/B Testing, Funnels, Experimentation

Bangalore Urban

4+ years of work experience

DivineAPI
May 20266 mosPresent

Delhi, India

Leading AI product development at DivineAPI (API platform). Manage a 3-person team (AI engineer + 2 developers) building agentic AI products from 0→1. • Shipped an AI Email Agent covering 5 customer lifecycle stages (Signup, Trial, Win-back, Expansion, Sales Inquiry) — generates 60+ personalized, audience-adapted emails from just 3 prompt documents, with human-in-the-loop approval on every send. • Designed the agent's RAG architecture: knowledge base schema, retrieval flow for grounding emails in verified company facts (pricing, plans, features), and a fact-verification layer to eliminate hallucinations. • Built the company's first unified sales dashboard, giving the founder a single view of leads, trials, and conversions. • Authored the full product documentation suite — PRD, build guides for all 5 pipelines, CRM specification, and knowledge base guide — and delivered a working end-to-end demo simulating 38 customers through the complete journey.
Career Break
Jan 20264 mosApr 2026

Nagpur, Maharashtra, India

Took a medical break after meeting with an unexpected accident just before joining a new role. Focused on recovery and well-being during this period.
S&P Global
Sep 20241 yr 5 mosJan 2026

Ahmedabad, Gujarat, India

Division: Market Intelligence | Growth & Engagement • Owned the end-to-end growth funnel (acquisition → retention) for 150+ global digital products; user segmentation and journey mapping drove a 22% lift in conversion. • Owned the marketing automation product roadmap; designed Marketo workflows that cut time-to-market by ~30%. • Defined North Star metrics (CTR, CVR, engagement) and built automated dashboards used by senior stakeholders for decision-making. • Partnered with Engineering and Data teams to sync Marketo–Salesforce data models, materially improving attribution accuracy and data integrity. • Standardized product ops frameworks on Monday.com/Workfront, reducing operational debt across the team.
WNS
May 20231 yr 2 mosJun 2024

Pune District, Maharashtra, India

• Drove an 18% uplift in CTR across multi-channel campaigns through structured A/B testing and experimentation frameworks. • Led data strategy and hygiene initiatives that significantly improved lead database accuracy and marketing ROI. • Translated user data into product insights with cross-functional squads, improving overall campaign ROI. • Managed stakeholder requirements across global B2B and B2C segments, balancing technical constraints with growth targets.
WNS
May 20221 yr 1 moMay 2023

• Introduced structured A/B testing on UI/UX elements, improving user open rates by 20%. • Owned QA for product launches — reduced post-launch defects and ensured 100% GDPR compliance. • Ran funnel analysis to identify user drop-offs, driving product tweaks that improved Lead-to-MQL conversion.
Tech Mahindra Business Services
Dec 20216 mosMay 2022

Pune

• Performed root cause analysis (RCA) on customer feedback, driving product improvements that reduced support ticket volume. • Improved product CSAT by streamlining workflows between Product, Support, and Engineering.

Alisha’s AI Stack

claude code
claude code
lovable
lovable
ChatGPT
ChatGPT
Figma Make
Figma Make
Microsoft Copilot
Microsoft Copilot
Wispr Flow
Wispr Flow

Education

Cohort Course, AI Product Management

Ayuda Learning

20251 yr2026

Business Analyst Course, Project Management

Center of Excellence for Professional Development (COEPD)

20262026

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Headline

AI Product Manager | Built & launched a GenAI agent 0→1 | +25% engagement, +12% conversion | Ex-S&P Global, WNS | LLMs, RAG, A/B Testing, Funnels, Experimentation

About

I'm an AI Product Manager who recently shipped an AI email agent end-to-end: it generates 60+ personalized lifecycle emails across 5 customer journey stages (Signup, Trial, Win-back, Expansion, Sales), grounded in a RAG pipeline I designed so every fact is verified before it reaches a customer — with human-in-the-loop approval on every send. Before moving into AI products, I spent 4+ years in product growth and operations at S&P Global, WNS, and Tech Mahindra. There I owned the acquisition-to-retention funnel for 150+ global digital products, ran structured A/B testing programs, built automated dashboards for leadership decision-making, and partnered with engineering and data teams on Marketo–Salesforce integrations. What I bring to a Product Manager or AI Product Manager role: • 0→1 AI product execution — PRDs, agent and RAG architecture, prompt systems, evaluation, human-in-the-loop design • Growth and lifecycle expertise — funnel analysis, segmentation, A/B testing, North Star metrics • Cross-functional delivery — leading engineers and designers in agile squads across global B2B and B2C products. 📩 [alishachaudhari11@gmail.com] My profiles: Portfolio: https://alisha11.netlify.app/ LinkedIn: https://www.linkedin.com/in/alisha-chaudhari-pm GitHub: https://github.com/ALISHA-19 Instagram : https://www.instagram.com/alleeshaaaaaa/ Naukri : https://www.naukri.com/mnjuser/profile?id=8altresid

Location

Bangalore Urban

AI stack

claude code

lovable

ChatGPT

Figma Make

Microsoft Copilot

Wispr Flow

Work experience

Product Manager at DivineAPI, May 2026 - Present · 6 mos, Delhi, India, Leading AI product development at DivineAPI (API platform). Manage a 3-person team (AI engineer + 2 developers) building agentic AI products from 0→1. • Shipped an AI Email Agent covering 5 customer lifecycle stages (Signup, Trial, Win-back, Expansion, Sales Inquiry) — generates 60+ personalized, audience-adapted emails from just 3 prompt documents, with human-in-the-loop approval on every send. • Designed the agent's RAG architecture: knowledge base schema, retrieval flow for grounding emails in verified company facts (pricing, plans, features), and a fact-verification layer to eliminate hallucinations. • Built the company's first unified sales dashboard, giving the founder a single view of leads, trials, and conversions. • Authored the full product documentation suite — PRD, build guides for all 5 pipelines, CRM specification, and knowledge base guide — and delivered a working end-to-end demo simulating 38 customers through the complete journey.

Health and well-being at Career Break, Jan 2026 - Apr 2026 · 4 mos, Nagpur, Maharashtra, India, Took a medical break after meeting with an unexpected accident just before joining a new role. Focused on recovery and well-being during this period.

Associate Product Manager (Webinar) (Growth & Engagement) at S&P Global, Sep 2024 - Jan 2026 · 1 yr 5 mos, Ahmedabad, Gujarat, India, Division: Market Intelligence | Growth & Engagement • Owned the end-to-end growth funnel (acquisition → retention) for 150+ global digital products; user segmentation and journey mapping drove a 22% lift in conversion. • Owned the marketing automation product roadmap; designed Marketo workflows that cut time-to-market by ~30%. • Defined North Star metrics (CTR, CVR, engagement) and built automated dashboards used by senior stakeholders for decision-making. • Partnered with Engineering and Data teams to sync Marketo–Salesforce data models, materially improving attribution accuracy and data integrity. • Standardized product ops frameworks on Monday.com/Workfront, reducing operational debt across the team.

Senior Product Operations Associate at WNS, May 2023 - Jun 2024 · 1 yr 2 mos, Pune District, Maharashtra, India, • Drove an 18% uplift in CTR across multi-channel campaigns through structured A/B testing and experimentation frameworks. • Led data strategy and hygiene initiatives that significantly improved lead database accuracy and marketing ROI. • Translated user data into product insights with cross-functional squads, improving overall campaign ROI. • Managed stakeholder requirements across global B2B and B2C segments, balancing technical constraints with growth targets.

Product Operations Associate at WNS, May 2022 - May 2023 · 1 yr 1 mo, • Introduced structured A/B testing on UI/UX elements, improving user open rates by 20%. • Owned QA for product launches — reduced post-launch defects and ensured 100% GDPR compliance. • Ran funnel analysis to identify user drop-offs, driving product tweaks that improved Lead-to-MQL conversion.

Associate Product Analyst (Customer Experience) at Tech Mahindra Business Services, Dec 2021 - May 2022 · 6 mos, Pune, • Performed root cause analysis (RCA) on customer feedback, driving product improvements that reduced support ticket volume. • Improved product CSAT by streamlining workflows between Product, Support, and Engineering.

Education

Cohort Course, AI Product Management, Ayuda Learning

Business Analyst Course, Project Management, Center of Excellence for Professional Development (COEPD)