Growing an Ambitious EdTech AI Team

Series A/B - AI Reading Mastery Startup
Hired 2, Wanted All 4.

Ambitious EdTech AI company solving critical problems in children's reading mastery and speech. After successfully hiring their lead machine learning scientist in early 2020, they came back to us later in the year to hire more AI engineers. In the end, they wanted to hire all four of our exceptional candidates, but only had the budget for 2.

See the impact of a high-caliber pipeline
Exceptional Results

Attracting 4 Unicorn candidates in 3 months during the Pandemic

Before working with AITA

Start hiring from scratch
No hiring process set in stone for open roles
No interview plan in process
No set budget for AI hires
Broad job requirements
Did not know AI engineering compensation levels, target companies, and AI engineering hiring best practices
No recruiting operations
"Really happy working with AITA again. Honestly, we would have hired all 4 candidates, but we only had 2 slots."
COO, Series A/B AI- Edtech Startup

After 3 Months with AITA

5177 qualified senior level AI engineers contacted
75 Candidates Submitted
38 Candidates Interviewed
4001 Opens for Outreach Emails
(77% Open Rate)

887 Responses from AI / ML Engineers
(23% Response Rate)

302 Interested from just outreach
(8% Interest Rate)
Screen / Submit only the top 10%
Created brand new optimized recruiting operations (Interview Process, Email Templates, Candidate Prep, and more)
4 Exceptional Candidates make it to the last offer round -- Hired 2, but would have hired all 4.
Serious about growing your Team? We can help!
Profile of our Client

Client's AI Hiring Plan

After the pandemic hit, the client rapidly acquired customers which lead to a massive spike in data collection to fuel their AI. They were in the middle of raising a Series B when they asked us to double their AI team ASAP. We were tasked on hiring niche AI talent during the pandemic -- a difficult time for growing an AI team.

Founded in 2018
$7M Series A in 2019, $12M Series B in 2021
Current AI Team: 3 AI Engineers ranging from Mid-Level to Director Level.
Objective: Hire Senior ML Engineer and Senior Data Scientist.
Timeline on their Unicorn Hires

“We focus on building an AI team not just filling roles.”

Mark, CEO at Artificial Intelligence Talent Agency
Day 0 - Initial Onboarding Call
We discussed AI roles, status of recruiting ops, recommended profiles on who they need for their AI team. We kicked-off outreach to our AI candidate network within 24 hours.
Day 7 - Hiring pipeline grew from 0 to 11 and set up recruiting ops
After 1 week, we set up recruiting operations for screening criteria, interview stages, and candidate experience. We grew their pipeline with 11 senior level candidates.
Day 30 - Hiring Pipeline grew to 25 Candidates and 13 Booked Technical Interviews
By the 30th day, 13 Technical interviews were booked and we added 14 more exceptional candidates. We received 103 people who were interested and we submitted the top 25 candidates.
Day 60 - Company re-calibrates on the role, pipeline grows to 50
After interviewing 27 candidates the company re-calibrates the role and focuses on specific niche AI talent. We submitted 50 candidates at this point.
Day 88 - Hired 2 but wished they hired all 4 Unicorn Candidates
38 candidates interviewed. Client was so happy with the final 4 they were ready to send each of them offers, but only had the budget for 2 hires. After recommendations, they decided on 2.
A Few Profiles of our Top candidates at the Senior Level

Production-Grade Machine Learning, Top Companies, Perfect-Fit Expertise, Passionate about Company Mission

PhD in computer science with 10+ years of industry experience across machine learning and speech recognition.

Strong current tenure
(7 years FAANG)
Senior ML Engineer, Microsoft
PhD in Math

9+ Years of Industry experience with data science, machine learning, and speech recognition.

Strong current tenure
(5+ Years FAANG)

Senior Data Scientist, Microsoft
15 years of industry experience across software development and AI/ML

Developed core platform & AI ML platform from the ground up.
Senior Machine Learning Engineer & Senior Platform Engineer, Series B AI Startup
MS with 5+ years of industry experience across big data engineering, R&D ML, and Applied ML.

Exceptional understanding of building end-to-end machine learning ops for production grade high-volume systems.

Machine Learning Engineer, Top Automotive Company

We loved working with them, let's work with you!

We are excited and ready to grow ambitious AI companies across the United States. We look forward to jumping on a call and putting your company & mission in the minds of 10,000+ candidates.