Saurabh Kumar profile photo 1 on Tal

Saurabh Kumar

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

San Francisco Bay Area

5+ years of work experience

Employ Labs
Aug 20251 yr 1 moPresent

Stealth AI Startup
May 20251 yr 4 mosPresent

Stealth

Employ
Feb 20233 yrs 7 mosPresent

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
Blue Tokai Coffee Roasters
Jun 20221 yr 2 mosJul 2023

India

Worked closely with founders and leadership on execution, fundraise and scaling during a high-growth phase.
Sparklehood
Jul 20213 yrs 7 mosJan 2025

Built a peer network for top professionals focused on career transitions, advisory access, and operator-level learning.

Education

Y Combinator

Y Combinator

20182018
INDIAN INSTITUTE OF TECHNOLOGY KANPUR

INDIAN INSTITUTE OF TECHNOLOGY KANPUR

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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

Saurabh Kumar - Co-Founder in San Francisco Bay Area | Tal