Talent Sourcer (Tech)

Interview Kickstart is a premier career transformation platform turbocharging tech careers through AI upskilling.

Founded in 2014 in Santa Clara by Soham Mehta, ex-Box Engineering Leader, and Ryan Valles, a transformative P&L leader and former CEO with a track record of scaling ventures, Interview Kickstart's vision is to help every tech professional thrive in today's fast-evolving tech industry.

With 40+ domain-specific coursesfrom foundational Machine Learning and Generative AI to Agentic AI, System Design, and DSAInterview Kickstart equips engineers, PMs, data professionals, and tech leaders to accelerate their careers. Its 600+ instructorsindustry practitioners, hiring managers, and senior engineers from FAANG+ companiesbring real-world insight and cutting-edge expertise into every classroom.

Beyond upskilling, Interview Kickstart offers end-to-end career support. Personalized mock interviews, resume and LinkedIn branding, career coaching, salary negotiation guidance, and performance-based job referrals ensure that your AI upskilling translates into real career breakthroughs. Over 25,000 professionals have already advanced their careers through Interview Kickstart.

Recognized by TIME x Statista and GSV 150 as a top EdTech company, Interview Kickstart is the go-to platform for tech professionals looking to future-proof their careers in the age of AI.

Role Overview

We're on the hunt for a dynamic Technical Sourcer with a passion for AI/ML and data science to join our Instructor Hiring team. You'll identify and onboard top-tier tech talent from leading US companies to join our platform as mentors, driving our community's growth in a fast-paced, tech-driven environment.

• Duration - This is a 1 year contractual role
• Location - Bangalore (HSR)

Responsibilities:

Talent Discovery: Leverage your 4+ years of sourcing experience to identify and engage high-quality AI/ML and data science talent from tier-1 tech firms.

Proactive Outreach: Craft compelling outreach messages and run targeted sourcing campaigns to attract top professionals to our mentor ecosystem.

Pipeline Building: Build and maintain strong talent pipelines aligned to current and future instructor needs.

Market Mapping: Conduct in-depth talent mapping and competitor research across US product-tech companies.

Tech Context: Use your understanding of AI/ML and data science roles to assess profiles effectively and surface high-potential candidates.

Sourcing Excellence: Apply advanced sourcing and headhunting techniques using tools like LinkedIn Recruiter and other talent platforms.

Collaboration: Partner closely with recruiters and hiring stakeholders to ensure smooth handoffs and strong conversion from sourced leads.

Tech Savvy: Utilize your knowledge of ML/AI and data science to identify the best candidates and stay ahead of industry trends.

Requirements:

• Sourcing Experience: 4+ years of hands-on technical sourcing experience, preferably within AI/ML and data science domains.
• Strong Communicator: Excellent written and verbal communication skills with the ability to spark interest through outreach.
• US Tech Exposure: Experience sourcing talent from US-based product and technology companies.
• Research Mindset: Strong capability in talent intelligence, market research, and pipeline strategy.
• Tech Curiosity: Genuine interest in emerging technologies, especially AI/ML and data science.
• Should be open to an in-office role in Bangalore (HSR)