Rishabh Jain
Associate Product Manager with 3.5 years shipping 0-to-1 platforms across Fintech, AI SaaS, and Mar Tech. Owns the full lifecycle – discovery, PRDs, prioritisation, agile delivery, and post-launch measurement against activation, conversion, and revenue KPIs.
Works closely with engineering, design, and QA to turn customer and stakeholder input into a prioritised roadmap, and presents progress and outcomes in monthly business reviews with client leadership. Comfortable with ambiguity and translating fragmented requirements into a clear specification.
Experience
Associate Product Manager
AdGlobal360 (a Hakuhodo company)
Gurugram, India
- Own product for a CTWA (Click-to-Whats App) lead management system for a top-5 Indian private bank, covering lead capture, qualification, routing, and agent handoff across loan, credit card, and savings account journeys.
- Product owner for AdGlobal360’s Meta-integrated product line, built under the agency’s collaboration with Meta; the portfolio has contributed INR 2.5 Cr+ in revenue.
- Run discovery with business, operations, and compliance stakeholders; write PRDs, user stories, and acceptance criteria, and prioritise a shared backlog across two engineering pods in Jira.
- Define analytics instrumentation and build SQL/Big Query and Databricks reporting on activation, funnel conversion, and retention; drive quarterly roadmap and feature sunset decisions from it.
- Manage agile ceremonies, release sign-off, and UAT with engineering, design, QA, and client-side risk teams, and present progress and outcomes in monthly business reviews with client leadership.
Assistant Software Developer
C3I Hub / IIT Kanpur
Kanpur, India
- Defined requirements and alert-severity logic for an ML anomaly detection pipeline; tuned detection thresholds with data science, cutting false positives and improving analyst triage time.
Programmer Analyst
Cognizant Technology Solutions
India
- Designed automated testing workflows mapped to business acceptance criteria, reducing regression defects by 30%; set P0/P1 triage criteria and structured root-cause analysis with QA, business analysts, and developers.
Education
SRM Institute of Science and Technology
B.Tech
CGPA: 8.9/10.0
Skills
JTBDPRDsRoadmappingPrioritisationOKRsGo-to-MarketWireframingA/B TestingUATAgileScrumJiraConfluenceFigmaMiroPostmanSQLGCP BigQueryPower BIAWSDatabricksAmplitude
Product Case Studies
CTWA Lead Management System – Banking
0-to-1 | Fintech/BFSI | WhatsApp Business API
Problem: Leads acquired via Click-to-WhatsApp (CTWA) ads were lost between ad click and agent contact – no automated qualification, no routing logic, and no visibility into where applicants dropped off. • Built: An end-to-end CTWA lead management system on WhatsApp Business API / Meta Cloud API – conversational lead capture and pre-qualification, document collection, Salesforce CRM lead routing with follow-up triggers and escalation rules, and a CDP-backed contact store for segmentation and lead scoring.
Specced the Meta integrations (WABA provisioning, Template Management, Webhooks) and validated all API contracts in Postman.
Automation Flow Builder
0-to-1 | SaaS | Self-Serve Tooling
Problem: Every campaign journey change needed an engineering ticket, making turnaround the marketing bottleneck and consuming engineering capacity on repetitive config work. • Built & Outcome: Drag-and-drop visual flow builder with conditional branching, trigger-based nudges, scheduling, and built-in A/B testing, letting non-technical marketers launch WhatsApp campaign journeys without code – removing marketing’s standing dependency on engineering.
Owned the PRD, Figma wireframes, and pilot UAT.
AI Media Planning & Campaign Intelligence Suite
AI/ML Product | MarTech | Analytics
Problem: Media planners built plans manually in spreadsheets from fragmented benchmark data, making budget allocation slow, inconsistent, and hard to defend to clients. • Built: Product design for AI-assisted historical benchmarking, budget allocation recommendations, and ROI prediction; plus a Campaign War Room for real-time digital, hyperlocal, and competitor tracking, and a Creative Scoring Engine predicting CTR and engagement. • Outcome: Cut the planning team’s manual effort by ~60% and standardised plan structure across accounts.
Brand Book Intelligence
AI/ML Product | 0-to-1 | Creative Compliance
Problem: Creative review against brand guidelines was a manual, subjective loop between agency, design, and client legal, and a recurring source of late-stage rework. • Built & Outcome: Specced an AI tool validating creative against brand guidelines and campaign objectives, flagging compliance risk pre-publish; defined the scoring model, reviewer workflow, and escalation path with design and legal.
Shifted brand QA from post-production rework to a launch gate.