Deepansh Pahuja

Product Manager

Kota, Rajasthan, India3 yrs 4 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Drove 160% ARR growth through strategic product launches.
  • Architected AI-powered solutions enhancing operational efficiency.
  • Led product strategy in a dynamic startup environment.
Stackforce AI infers this person is a SaaS Product Manager with strong expertise in AI-driven solutions and product strategy.

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Skills

Core Skills

Product StrategyProduct DevelopmentProduct Analytics

Other Skills

AI-powered Suite DevelopmentAccount-Scoring LogicAgile Project ManagementAutomationBacklog ManagementBacklog PrioritizationBusiness Growth StrategiesBusiness StrategyCRM IntegrationsCampaign Sync and Insights EngineCommunicationCross-functional Team LeadershipCustomer DiscoveryCustomer Relationship Management (CRM)Customer Success

About

With 3 years of immersive experience as an Associate Product Manager in a dynamic startup environment, I've learnt to be deeply empathetic and driven by an insatiable curiosity to understand the 'why' and 'how' behind every problem. This mindset fuels my passion for crafting innovative solutions and continuously pushing boundaries.

Experience

Vendasta

Product Manager

Dec 2025Present · 3 mos · Chennai, Tamil Nadu, India · On-site

Saleshandy

Associate Product Manager

Apr 2024Oct 2025 · 1 yr 6 mos · Ahmedabad, Gujarat, India · On-site

  • Led product strategy, roadmap and execution across multiple verticals, managing 3 engineering teams (20+ engineers), cross-functional stakeholders, and vendor partnerships. Drove ARR growth by 160% in 18 months through strategic product launches, customer-centric roadmap prioritisation, and GTM execution.
  • Improved Trulyinbox (email warmup SaaS) by leading customer discovery, MVP scoping, sprint coordination, and GTM execution with sales and marketing, increasing NPS and revenue impact
  • Increased ARPA by 56% by building parallel monetisation features (AI credits, Lead Finder, premium capabilities) informed by pricing analysis and customer interviews
  • Reduced churn by 11-15% through NPS surveys, Intercom ticket analysis, CS sync meetings, and deploying targeted in-app education and activation campaigns
  • I managed delivery across 3 squads (21 engineers) via backlog prioritisation, sprint planning, and stakeholder alignment, increasing release velocity and time-to-market
  • Built AI-powered suite: AI Sequence Creator, AI Columns, MCP-based NLP API interface, and custom GPTs for automation, driving adoption and efficiency
  • Architected scalability infrastructure: Bulk operations, async processing, and 43-parameter email scheduler handling high-volume campaigns with optimal deliverability
  • Shipped intelligent automation: OpenAI-powered prospect outcome detection, bounce detection system, and ESP matching logic for campaign optimisation
  • Drove enterprise readiness: whitelabel, SSO, open APIs, webhooks, permission layer, and CRM integrations (Salesforce, Pipedrive, HubSpot)
  • Launched Agencification vertical with unified multi-client management, onboarding 36 agencies through targeted outreach and iteration
  • Established product operations: bi-weekly cross-functional syncs, product health metrics, monthly stakeholder reviews, org-wide KPI tracking, and vendor management
Product StrategyRoadmap ExecutionCustomer DiscoveryMVP ScopingGTM ExecutionBacklog Prioritization+5

Sprouts.ai

Associate Product Manager

Sep 2022Apr 2024 · 1 yr 7 mos · India · Hybrid

  • Founding APM and the 9th employee at an AI-powered sales intelligence platform enabling BDRs and SDRs to convert prospects through multi-channel outreach. Led product operations, customer enablement, and core feature development from ideation to execution. Owned the outcomes end-to-end for all the features/products deployed.
  • Architected account-scoring logic using 1st and 3rd-party intent signals to prioritise high-value leads, driving a 66% increase in lead conversion rate
  • Spearheaded smart lead recommendation engine as the product's core competency, building ICP recommendation system and analytics capabilities from the ground up
  • Built and managed a data operations team while automating 40% of manual workflows using Power Query, significantly improving operational efficiency
  • Designed a Multi-Database Query System with a waterfall enrichment mechanism and auto-qualification logic, reducing SDR list-creation time by 50% and improving data accuracy by 20%
  • Implemented a comprehensive product analytics tool, Pendo - deployed event funnels, custom dashboards, in-app onboarding guides, and session recordings to drive activation and retention
  • Launched a bi-directional campaign sync and insights engine for ICP recommendations based on positive engagement patterns, increasing average open rates by 50%
  • Diagnosed and resolved import functionality adoption gap through user research and UX improvements, resulting in 30% higher monthly engagement and 54% increase in imported files
  • Unblocked customers by doing lead generation, creating ABM campaigns, and providing hands-on support to help users and convert their prospects into clients.
Account-Scoring LogicLead Recommendation EngineData Operations ManagementProduct Analytics Tool ImplementationCampaign Sync and Insights EngineUser Research+2

Wipro

Data Analyst

Feb 2022Apr 2022 · 2 mos

  • Learned a few new skills like Hadoop, hive, and Tableau and worked on a project "Data Science in the field of Agriculture". We estimated what were the main reasons why farmers were not able to make profits, we gathered the data all across India and analyzed it from there we got insights then it helped us in decision-making.
HadoopHiveTableau

Indian oil corporation limited

Summer Intern

Jul 2021Aug 2021 · 1 mo

Education

Rajiv Gandhi Institute of Petroleum Technology (RGIPT)

Bachelor of Technology - BTech — Chemical Engineering

Aug 2018Jun 2022

D.A.V Public School Kota

High School

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