---
title: "Saurabh Kumar - Co-Founder in San Francisco Bay Area | Tal"
description: "Meet Saurabh Kumar, Employ | AI-native hiring systems for GCCs & AI first startups across India, US & Europe | Capability-led evaluation || Blue Tokai || ZiffyHomes (YC S18) based in San Francisco Bay Area."
image: "https://tal.club/meet/saurabh/share-image"
---

# Saurabh Kumar on Tal

## Headline

Employ \| AI\-native hiring systems for GCCs & AI first startups across India, US & Europe \| Capability\-led evaluation \|\| Blue Tokai \|\| ZiffyHomes \(YC S18\)

## About

Most hiring failures don’t happen because of poor sourcing\. They happen because capability is inferred from resumes, pedigree, or shallow interviews\. I believe hiring is fundamentally a capability mapping problem, not a talent availability problem\. I run Employ, an AI\-native, full\-stack hiring partner working with GCCs and product\-led startups on roles where hiring mistakes are expensive and hard to reverse\. Employ is built on two tightly integrated pillars\. First: Distributed People Search Engine It queries and correlates human competency across multiple public and proprietary sources including Interview Data, Resumes, Assessments, GitHub, X & LinkedIn to surface latent capability signals that no individual recruiter can infer\. Second: Evidence Based Competency Assessment Engine Naira, our Subject Matter Expert Agent \(current capability: AI, ML, Tech, Finance, Product\) evaluates technical and non\-technical competencies achieving \~70% higher profiling accuracy\. Much of this inference is infeasible for human recruiters to perform consistently Our specialist recruiters own the outcome & stay accountable end\-to\-end — from role calibration and search through evaluation and decision support — rather than optimizing for speed or volume\. The outcome we optimize for is simple: fewer false positives and higher confidence hiring decisions across engineering, data, product, and leadership roles\. As a founder, my role is to design the hiring system, ensure signal quality across both search and evaluation, and stay close to real hiring outcomes with clients — especially in GCC and AI\-first environments\.

## Location

San Francisco Bay Area

## Work experience

Co\-Founder at Employ Labs, Aug 2025 \- Present · 1 yr 1 mo

TBD at Stealth AI Startup, May 2025 \- Present · 1 yr 4 mos, Stealth

Co\-Founder at Employ, Feb 2023 \- Present · 3 yrs 7 mos, Gurugram, Haryana, India, An AI\-native hiring system that owns search hypotheses and decision quality\. \- Building an AI\-native hiring system focused on capability mapping, not resume filtering \- Designing role decomposition frameworks across JTBDs, skills, sub\-skills, and success KPIs \- Designing & building of SME\-led interview and evaluation workflows focussed on competency assessment \- Designing of structure interviews, extract evidence, inferences that reduce false positives \- Partnering with GCCs and startups on high\-risk, high\-impact roles \- Ensuring recruiter accountability across calibration, search, evaluation, and decision support \- System design, signal review, and client\-side calibration

Chief of Staff at Blue Tokai Coffee Roasters, Jun 2022 \- Jul 2023 · 1 yr 2 mos, India, Worked closely with founders and leadership on execution, fundraise and scaling during a high\-growth phase\.

Co\-Founder at Sparklehood, Jul 2021 \- Jan 2025 · 3 yrs 7 mos, Built a peer network for top professionals focused on career transitions, advisory access, and operator\-level learning\.

## Education

Y Combinator

INDIAN INSTITUTE OF TECHNOLOGY KANPUR

[View the original profile](https://tal.club/meet/saurabh)

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