orby-ai > orby-ai Employee Directory > Ren Young
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Ren Young's Personal Email and Phone Number
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Ren Young
Founding Recruiter
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Location: Redwood City, California, United StatesApprox. Years of Experience: 17
Ren Young's Current Workplace
Orby AI
Company Size
11-50
Amount Raised
N/A
According to a McKinsey Future of Work report, 60% of jobs have at least 30% of the work that is repetitive and automatable. Much of that work entails processing payments across finance and accounting departments, ticket resolution for customer support, and inputting lead management data for sales teams. \n\nOrby provides a unique "observe, learn, and automate" end-to-end experience. Orby observes a user’s activities, identifies repetitive work steps and automatically generates code that ultimately automates these tasks. Moreover, Orby works behind the scenes to continuously learn from human feedback, becoming smarter over time with no coding involved whatsoever.\n
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Software
Customer Service
Artificial Intelligence (AI)
Experience
Founding Recruiter
Orby AI · Full-time
May 2024 - Present
1 yr 1 mo
Orby AI raised $30m at Series A to automate complex enterprise business workflows. I'm responsible for all of Talent (compensation, levels, equity) and People Ops (benefits, immigration, performance). - Joined as employee 19 in Q2 2024. - Grew company from 19 to 47 FTEs in first 7 months (147%) - 80% of growth was on Eng, Prod, Design and 20% on GTM (AE, marketing) - Closed top talent from Stanford, Deepmind, Google, Meta - Implemented AI tools to automate recruiting workflows - Managed benefits, immigration, intern program, onboarding, and even some IT Here's our research team's ICLR'25 paper UGround: https://github.com/OSU-NLP-Group/UGround
Lead Technical Recruiter (Machine Learning)
Grammarly · Full-time
Aug 2021 - Feb 2023
1 yr 7 mos
Staff Technical Recruiter (ML)
Meta · Full-time
Nov 2011 - Aug 2021
9 yrs 10 mos
Humbled to have joined Facebook in 2011. Select Accomplishments - Design, Tested, and Implemented core recruiting infrastructure that are now crucial to FB's recruiting process company wide. - Created, Established, and Scaled the interviewing process for critical high volume hiring pipelines like Machine Learning, Systems Software Engineering, and Product Software Engineers. - Partnered with Eng Leaders to create the evaluation metrics for hiring pipelines, forecast long-term hiring needs, and develop scalable recruiting processes. - Created the hiring process for niche cold start positions across different organizations. - Partnered with Recruiting, Engineering, and Compensation leaders to drive large scale compensation changes at Facebook which helped reduce internal friction while increasing candidate acceptance rate. - Led teams to make step changes to overall company's recruiting process; responsible for key hiring goals for Machine Learning, Network Software and Product Engineers. - Built, Hired, and Trained recruiting teams at Facebook including Machine Learning, Eng Leadership, and Software Engineering. - Created and Presented multiple learning seminars across recruiting orgs on topics like Candidate Engagement, Closing Scenarios, and Navigating FB's Hiring process.
TEKsystems
Mar 2010 - Nov 2011
Account Manager
Feb 2011 - Nov 2011
10 mos
Leadership role in same company below.
Technical Recruiter
Mar 2010 - Feb 2011
1 yr
Recruiting agency located in downtown San Francisco. I learned engineering recruiting from a great group of peers and mentors here. I recruited for infrastructure generalists, data analysts, QA/SDET, network technicians, business intelligence professionals, and ERP professionals. My clients included a combination of Fortune 500 companies like Wells Fargo and Schwab to smaller Web 2.0 companies like Salesforce and CNET.
Design Team Member
Omnica
Sep 2008 - Jul 2009
11 mos
-Worked to create an innovative and patentable patient monitoring device from concept to creation -Prepared and presented multiple presentations showing progress of the project and final design -Learned real world skills involving engineering procedures, patent specifications, and sales/marketing considerations -Preformed mock FDA guidelines testing of prototype device -Interviewed target consumers and organized consumer feedback
Education
  • Dates unavailable
    UC IrvineB.S, Biomedical Engineering