Abhimanyu Sharma
Head of Product / Senior PM — AI-Native eCommerce & D2C Platforms | Shopify Plus · B2B SaaS | 10 Yrs | ex-Tata CLiQ, Jaipur Rugs
Jaipur
10+ years of work experience
Jun 20265 moPresent
Ahmedabad
Oct 20241 yr 8 mosMay 2026
Jaipur
Built and scaled a 5-brand D2C platform from fragmented infrastructure to a unified Shopify Plus architecture 15% conversion uplift, 31% qualified lead growth, 40% faster time-to-market. Led a team of 12 across engineering, design, QA, and analytics.
The problem: 5 brands on fragmented infrastructure, no unified analytics, no experimentation practice, no repeatable launch playbook.
What I delivered:
Platform: Migrated Shyam Ahuja to Shopify Plus. Built Asterlane's full D2C infrastructure from zero. Created a
reusable brand launch blueprint — cutting time-to-market by 40%.
Conversion: Introduced Express Checkout, rebuilt the consultation funnel using GA4 + Microsoft Clarity behavioral data, ran A/B experiments across PLP and PDP — 15% conversion uplift, reduced checkout abandonment.
Discovery: Pioneered "View in My Room" AR feature. Rebuilt discovery journeys — 45% session depth improvement, 31% qualified lead growth.
Integrations: Architected API layer connecting Navision ERP, Unicommerce OMS, and Zoho CRM — unified cross-brand order and inventory visibility for the first time.
AI tools I personally built and deployed:
→ Figma-to-Shopify Reviewer — design QA from days to under 1 hour
→ Launch-Gatekeeper (Claude API) — zero launch failures across 4 releases
→ Experiment-Skeptic (Claude API) — mandatory gate before every A/B readout ships
Stack: Shopify Plus · GA4 · GTM · Clarity · Salesforce Sales Cloud · Navision ERP · Unicommerce · Zoho · Claude API · Codex · Cursor
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Jul 20242 mosAug 2024
Remote
Mentored aspiring Product Managers across structured learning programmes — covering product strategy, Agile delivery, experimentation, user research, and roadmap prioritisation.
What I focused on:
Not theory — application. Every session was built around real product problems: how to frame a discovery question, how to write a hypothesis before running an A/B test, how to prioritise a backlog when everything feels urgent, how to present a roadmap to a skeptical stakeholder. Mentees worked through problems drawn from live product contexts, not textbook scenarios.
Curriculum design: Built a structured programme covering core PM disciplines — product lifecycle, customer-centric discovery, Agile practices, experimentation frameworks, and go-to-market thinking. Designed for people who were either transitioning into PM or early in their careers and needed a structured foundation, not just advice.
One-on-one coaching: Worked individually with mentees on their specific gaps — whether that was analytical thinking, stakeholder communication, writing sharper user stories, or preparing for PM interview loops. Adapted the approach per person rather than running a one-size curriculum.
Workshops: Facilitated group sessions on problem decomposition, product critique, and case-based learning — creating a peer learning environment where mentees challenged each other's thinking, not just absorbed mine.
Outcome: Mentees have gone on to PM and APM roles across consumer tech, eCommerce, and SaaS companies. Several credits the programme with changing how they approach product decisions — from feature-first to problem-first thinking.
Currently: Open to mentoring driven PM aspirants. DM if you're early in your PM journey and want structured guidance.
Jan 202410 mosOct 2024
Gurugram
Owned end-to-end product strategy for a 140+ store D2C and omnichannel platform — 68% conversion uplift, NPS 41 → 63, 20% retention improvement, INR 35 lakh incremental quarterly revenue. Led a team of 10.
The problem: Blackberrys competed in a crowded menswear market with a fragmented digital stack — no unified experimentation practice, underperforming discovery and search surfaces, manual CRM campaigns with no behavioral intelligence, and a loyalty program that wasn't driving repeat purchase.
What I delivered:
Conversion and discovery: Restructured search, filtering, and personalization across the platform. Ran A/B experiments end-to-end — hypothesis, instrumentation, analysis, shipping decision driving 68% conversion uplift. Every experiment was grounded in cohort analysis and behavioral data before a line of code was written.
Lifecycle and retention: Built a full-funnel marketing automation ecosystem on WebEngage — integrating browsing behavior, transactional data, and user feedback to trigger intelligent journeys across push, WhatsApp, SMS, and email. Shifted the team from reactive one-time campaigns to predictive, behavioral engagement. Outcome: 20% retention improvement and INR 35 lakh incremental revenue within one quarter.
Loyalty redesign and OMS integration: Redesigned the loyalty programme from the ground up and shipped OMS integration — creating the commercial infrastructure that made retention economics work at scale.
Satisfaction: NPS improved from 41 to 63. User satisfaction scores up 15%. Both driven by personalised experiences replacing generic outreach. Delivery: Embedded Agile practices across product, engineering, and marketing — reducing campaign deployment time by 35% and accelerating product iteration cycles.
Stack: Mixpanel · WebEngage · Shopify · OMS · A/B testing · Cohort analysis
Role concluded in October 2024 following a personal family emergency requiring full-time presence; returned to product full-time at Jaipur Rugs the same month.
Nov 20221 yr 3 mosJan 2024
Jaipur
Owned the full product lifecycle for Shop LC's B2C consumer app — 35% engagement increase, 20% conversion lift, 10% booking conversion improvement. Led a cross-functional team of 35.
The problem: Shop LC needed a mobile-first product that could connect live commerce, loyalty, and eCommerce into a unified customer journey — with zero existing analytics infrastructure to measure what was working.
What I delivered:
App launch: Led end-to-end delivery of Shop LC's React Native mobile app — design, engineering, QA, and analytics pipelines. Owned product requirements, sprint execution, UAT, and post-launch iteration. Shipped on schedule across a 35-person cross-functional team spanning developers, designers, QA, analysts, APMs, and PMs.
Analytics from scratch: Built the product's first Mixpanel analytics framework personally — defined event taxonomy, KPI schemas, and performance dashboards from zero. Went from no funnel visibility to full behavioral insight in 6 weeks. This became the data foundation for every subsequent roadmap decision.
Loyalty and retention: Revamped the loyalty and rewards platform — integrated personalized offers and behavioral triggers to deepen retention and drive repeat purchase. Used cohort analysis to identify which incentive mechanics moved retention metrics and killed the ones that didn't.
Experimentation: Set up and ran A/B experiments end-to-end across onboarding, checkout, and loyalty flows — hypothesis, instrumentation, analysis, decision. Linked every release to a measurable KPI before build began.
Outcomes: 35% engagement increase and 20% conversion lift within 3 months of launch. 10% improvement in booking conversion through loyalty-driven personalization.
Team: Led 35 across engineering, design, QA, analysts, Associate PMs, and PMs.
Stack: React Native · Mixpanel · Agile · Cohort analysis · A/B testing
Feb 20211 yr 10 mosNov 2022
Jaipur
Owned product delivery and backlog as Product Owner across 30+ global enterprise B2B SaaS implementations — loyalty and rewards platform rollouts for QSR brands including Del Taco, Jeni's Splendid Ice Creams, and Quesada. 25% improvement in delivery velocity.
This role was delivery and ownership-focused — not product strategy. I owned requirements clarity, client coordination, integration scoping, and release execution across multiple concurrent global deployments. It is where I built the discipline that shaped how I approach product work today.
What I owned:
Requirements and delivery: Translated client business goals into platform requirements, owned backlog priorities, managed sprint rituals, and coordinated UAT and go-live execution per client — across POS, CRM, and loyalty platform integrations simultaneously.
Client and partner coordination: Acted as the primary point of contact between PAR Tech engineering and enterprise clients across time zones — ensuring feedback was captured, requirements were unambiguous, and deployment timelines held.
Delivery model: Built onboarding documentation, integration playbooks, and milestone reporting frameworks that created consistency across deployments and reduced client ramp time. Reduced iteration cycles by 30% through Agile sprint cadences and structured retrospectives.
Velocity: Improved development velocity by 25% through tighter QA collaboration and sprint discipline across distributed teams.
Outcomes: 20% improvement in end-user engagement across loyalty programmes. 25% delivery efficiency gain. Repeatable rollout model adopted across subsequent client deployments.
Team: Led 15 across engineering, design, QA, and customer success globally.
Stack: B2B SaaS · POS and CRM integrations · Agile · Multi-region deployments · Enterprise loyalty platforms
Jun 20192 y 3 moSep 2021
Mumbai
Mar 20163 yMar 2019
Chennai
Abhimanyu’s AI Stack
Education
Master of Business Administration (M.B.A.), Information Technology
Symbiosis Institute of Computer Studies and Research
20142 yrs2016
Bachelor of Technology (B.Tech.), Computer Science
B.K.B.I.E.T. ,Pilani
20112 yrs2013
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