I'm a Product Manager building AI-native products, automation platforms, and marketplace systems that drive measurable business outcomes in B2B SaaS.

My work bridges product strategy, technical execution, and go-to-market excellence—taking complex problems from 0→1 and scaling them to enterprise adoption and revenue impact.

I've led products across support automation, two-sided marketplaces, and SaaS management platforms, with a focus on what moves the needle: conversion, adoption, operational efficiency, and ARR growth.

Problem: Fragmented knowledge, low retrieval accuracy, and rising support costs blocking self-serve scale
Approach: LLM-powered knowledge intelligence, NLP search, and AI deflection systems
Impact: 17% reduction in resolution time, 2× feature adoption across enterprise deployments

I build AI systems that solve real workflow problems—not demos. This includes:

• Conversation-to-content generation and retrieval workflows
• Knowledge gap detection and answer quality feedback loops
• Structured experimentation (A/B tests, pilot cohorts) to validate AI before scaling
• Analytics frameworks to measure accuracy, deflection, and business impact

Problem: Low conversion funnels, fragmented supply, and slow partner onboarding
Approach: Two-sided marketplace design, API integrations, and automated activation flows
Impact: 4.6× conversion uplift (23% vs 5%), 180+ partners scaled in 12 months, 25% increase in direct bookings

I think in systems—balancing supply and demand, designing for liquidity, and building platforms that scale:

• Discovery, pricing visibility, and partner experience optimization
• Real-time inventory sync via APIs (15+ integrations)
• AI-driven lead enrichment cutting ops effort by 40%
• Growth experiments improving lead-to-booking conversion by 20%

Problem: Manual IT operations and fragmented user lifecycle management
Approach: Event-driven automation, SCIM/API provisioning, and role-based access systems
Impact: 30% increase in workflow adoption, 70% of tasks automated, enterprise-scale operations

I build automation that compounds—not just scripts:

• Event-driven logic powering enterprise workflows at scale
• Multi-tenant systems for complex org structures
• Automation primitives (rules, triggers, actions) that users can configure
• Integration infrastructure enabling ecosystem expansion

I thrive in ambiguity. I can take a rough idea, frame the problem, validate with customers, and ship an MVP that proves the concept. Then I iterate based on data.

I don't just build features—I build features that unlock revenue. This means understanding:

• Pricing and packaging that drives adoption
• Activation loops that reduce time-to-value
• Channel strategies (direct, partner, API-led growth)
• Conversion optimization across the funnel

I instrument everything. I define success metrics upfront, build analytics infrastructure (SQL, product analytics tools), and use data to drive roadmap decisions and rollout strategies.

I partner deeply with engineering, GTM, sales engineering, and operations. I synthesize feedback into clear PRDs, align on priorities, and drive execution without friction.

Hiver (Jul 2025 – Present)
AI Product Manager

• Built AI-native knowledge base capabilities reducing ticket resolution time by 17%
• Established analytics and evaluation frameworks for LLM-powered features
• Drove 2× feature adoption across 20+ enterprise pilots

Amber.inc (Jun 2024 – Jul 2025)
Product Manager

• Scaled marketplace to 180+ property partners, improving conversion 4.6×
• Built white-label booking platform achieving 23% conversion vs 5% baseline
• Led 15+ API integrations increasing direct bookings by 25%

Zluri (Jan 2022 – Jun 2024)
Associate Product Manager

• Owned automation platform increasing workflow adoption by 30%
• Built event-driven engine powering 70% of automated enterprise tasks
• Delivered SCIM/API integrations for multi-tenant enterprise deployments

Scaled a SaaS platform from ~$200K ARR to ~$3M ARR by building workflows and automation infrastructure that unlocked new revenue channels and operational leverage.

I'm actively exploring:

• AI agent systems for support, ops, and decision automation
• Micro-SaaS opportunities in the US B2B market (API-first, workflow-native)
• Platform extensibility patterns that enable partner ecosystems and programmatic growth
• No-code/low-code tooling to prototype and validate ideas faster

I believe the best products are built at the intersection of technical depth, business impact, and user-centric design—backed by data, shipped iteratively, and scaled systematically.

Hinglish Whisper Benchmark · openai/whisper #2761

Evaluated OpenAI's whisper-1 on 20 Indian-context audio clips across 6 categories — pure Hindi, Hinglish, Indian proper nouns, addresses with PIN codes, and call-center phrases.

Key finding: no output path exists for romanized Hinglish. Whisper switches the output script entirely — Latin-script input returns as Devanagari. Structural blocker for Indian support-call and WhatsApp transcription pipelines.

Dataset: huggingface.co/datasets/Primepluto/hinglish-whisper-benchmark

I write about product thinking, AI systems, and B2B growth on LinkedIn
Portfolio: rudransh.work
Email: Rudransh2k@gmail.com

Open to: Product leadership conversations, AI/automation collaborations, early-stage startup opportunities