Lead Instructor - Agentic AI

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 courses—from foundational Machine Learning and Generative AI to Agentic AI, System Design, and DSA—Interview Kickstart equips engineers, PMs, data professionals, and tech leaders to accelerate their careers. Its 600+ instructors—industry practitioners, hiring managers, and senior engineers from FAANG+ companies—bring 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.

Turn Your Expertise Into Impact at Scale

At Interview Kickstart, we don’t just teach—we transform careers. For our lead instructor role, we’re looking for engineers who want to go beyond building systems—to shape the people who build them.

Our practitioner-led approach means every class is taught by experts who’ve built at scale and cleared top hiring bars at FAANG+ companies. With a global learner base, expanding enterprise partnerships, and a fast-growing Agentic AI curriculum, this is a unique opportunity to collaborate with top talent, influence cutting-edge learning, and help define the gold standard for AI education.

Who You Will Be Teaching

Our learners are experienced professionals (5+ years) from software engineering, data science, and related fields, aiming to transition into ML Engineering, Applied Scientist, and AI roles at top-tier companies. They’re highly motivated and technically strong, seeking deep, practical learning—not basics. They value instructors who can connect theory to real-world systems, share insider hiring insights, and provide mentorship rooted in hands-on industry experience.

Key Responsibilities

A. Teaching & Learner Engagement

Deliver high-impact live sessions on Agentic AI & Machine Learning

Lead small-group coaching sessions for hands-on problem-solving and doubt resolution

Run assignment reviews to reinforce concepts and deepen understanding

Conduct mock interviews (ML System Design, Coding) with actionable feedback

Provide 1:1 mentorship on career transitions and interview prep

Host cohort orientations to drive engagement and set expectati