Product Manager — open to new roles

Jahnavi
Sachdeva

Senior Product Manager · AI PM · Technical PM

I turn ambiguous problems into shipped products. Three point eight years building 0→1 and scaled SaaS across fintech-adjacent payments, EdTech, enterprise platforms, and logistics — with a growing focus on AI-enabled workflows. Currently exploring my next PM role, especially in fintech, SaaS, or AI-driven products.

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01

About

I'm a product leader based in Gurugram who's spent the last 3.8+ years turning messy, spreadsheet-driven operations into products people actually rely on — MIS platforms, automated invoicing, compensation systems, KPI dashboards, agentic AI workflows.

My background spans fintech-adjacent payments, EdTech-scale SaaS, enterprise CRM, and logistics — logistics is where I am today, but the skill that carries across all of it is the same: sharp discovery, data-driven prioritization, and the ability to align Finance, HR, Engineering, and Ops around one roadmap. I'm now looking for my next challenge, ideally in fintech, SaaS, or an AI-native product org.

Based in Gurugram, India
Domains Fintech-adjacent · SaaS · EdTech · Enterprise · Logistics
Education B.Tech, Production & Industrial Engineering — NIT Kurukshetra
Certifications Advanced AI Agents · AI Automation & Prompt Engineering · Product Management
02

Experience

  1. Fleet & Ops SaaS

    Product Manager, Delivery & Operations

    BluWheelz

    • Own the end-to-end product lifecycle for a fleet management platform — vision, roadmap, and cross-functional execution.
    • Shipped fleet tracking, automated invoicing, and KPI dashboards, giving leadership real-time visibility into utilization and delivery performance.
    • Designed agentic AI workflows for reconciliation and exception handling, cutting manual operational effort by roughly 40%.
    • Built a product governance framework — RACI matrices and prioritization models — that measurably improved delivery velocity.
  2. Fintech-adjacent

    Associate Product Manager & Scrum Master

    PayTunes

    • Launched an automated Compensation Management platform, cutting monthly processing effort by 50% (~80 hours/month) and lifting data accuracy by 35%.
    • Ran product discovery, backlog prioritization, and release planning; sprint predictability improved by 30%.
    • Authored PRDs, user stories, and acceptance criteria for 6+ product increments shipped with engineering and design.
    • Owned stakeholder communication across Finance, HR, and Operations; ran user research with 10+ users every quarter.
  3. Enterprise SaaS

    Associate Project Manager

    HCode Technologies

    • Managed CRM, invoicing, and enterprise SaaS initiatives end-to-end, coordinating engineering, QA, and stakeholders across concurrent releases.
    • Cut scope creep through structured prioritization and roadmap governance.
  4. Data & Analytics

    Data Analyst Intern

    Cashify

    • Analyzed customer and product usage data to support optimization and business intelligence decisions.
    • Built SQL-based reports and dashboards that fed directly into product strategy and roadmap prioritization.
03

Skills

Product Strategy

Vision settingRoadmappingCompetitive analysis GTMProduct-market fit

Discovery & Analytics

User researchSQLProduct analytics KPI dashboardsData visualization

AI / ML Product

Generative AIAI agentsPrompt engineering AI evaluationLLM integration

Delivery & Operations

Agile / ScrumSprint planningBacklog prioritization RACI matrices

Technical Fluency

REST APIsCI/CDGit AzureJiraConfluenceFigma
04

Achievements

5+

0→1 products shipped across logistics, payments, CRM, and enterprise platforms

40%↓

manual operational effort removed through AI-driven automation workflows

30%↑

sprint predictability improvement through Agile process redesign

50%↓

monthly processing effort on a launched compensation management platform

35%↑

data accuracy gains delivered through platform automation

RACI

governance frameworks established to align cross-functional delivery teams

05

Contact

Hiring a Product Manager, or just want to compare notes on AI-driven product work? My inbox is open.