Cresta
Contact-center AI: real-time agent assist, conversational AI, coaching, and analytics for large enterprise teams. Spun out of Stanford AI. Last valued at $1.6B.
- Open jobs
- 1
- Typical pay
- $43.27–$43.27/hr
- Rating
- 0.0
- Would recommend
- 0%
- Work type
- Services
- Founded
- 2017
- Company size
- 201-1000
- Headquarters
- San Francisco, CA, USA (Remote-Friendly)
About Cresta
Cresta is an enterprise AI company that builds generative and real-time AI for contact centers. Its products help large customer-service and sales organizations by giving agents live suggestions during calls and chats, automating routine conversations with AI agents, coaching human agents from every interaction, and surfacing analytics across millions of conversations. Cresta was founded in 2017, spun out of Stanford AI research by Zayd Enam (who did his PhD in the Stanford AI Lab) together with Sebastian Thrun, the founder of Google X, Udacity, and the Stanford self-driving-car project. Ping Wu, previously a co-founder of Google Contact Center AI and a longtime Google engineering leader, serves as CEO. Cresta has raised roughly $270M across Series A through D from Greylock, Sequoia Capital, Andreessen Horowitz, and others; the most recent round (Series D, 2024) valued the company at approximately $1.6B. The customer base skews toward large enterprises in telecom, financial services, insurance, travel, and retail, where contact-center headcount is high and small percentage improvements in conversion or handle time translate into large dollar figures. Headquartered in San Francisco, Cresta runs a remote-friendly model with roughly 500 employees distributed across the US and additional engineering presence internationally.
Who Cresta hires
Cresta hires across engineering (machine learning, NLP and speech, backend, distributed systems, real-time infrastructure, security, frontend, data platform), applied AI research, product, design, developer relations, sales, sales engineering, customer success, professional services, marketing, and G&A. Application flow lives at cresta.com/careers. Machine-learning, applied-AI, and real-time-systems roles are the most active given the product depends on low-latency inference over live conversations. Location model is remote-friendly with a San Francisco hub; many US engineering and GTM roles are fully remote, while some leadership and specialized roles prefer Bay Area proximity. Candidates with production experience in LLMs, speech recognition, or real-time ML systems are strongly prioritized.
How the Cresta hiring process works
- 1
Apply at cresta.com/careers
Browse open roles and submit through the Cresta careers portal.
- 2
Recruiter screen · about 7 days
Confirms role fit, target level, location preference (remote or Bay Area), and salary expectations.
- 3
Hiring manager interview · about 7 days
Deep conversation with the manager who owns the position and the team context.
- 4
Technical or role-specific loop · about 14 days
Engineering and applied AI: coding, ML system design, and often a take-home or live modeling exercise on real-time inference. GTM: case study and role-play. Product and design: portfolio and case review.
- 5
Values interview and offer · about 7 days
Cross-functional interview on collaboration and ownership, followed by offer with base, bonus, and equity.
Open Cresta jobs
Cresta FAQ
What does Cresta do?
Cresta builds AI for contact centers: real-time agent assist during live calls and chats, AI agents that automate routine conversations, automated coaching, and conversation analytics for large enterprise customer-service and sales teams.
Who founded Cresta?
Zayd Enam and Sebastian Thrun in 2017, spun out of Stanford AI research. Sebastian Thrun founded Google X, Udacity, and the Stanford self-driving-car project. Ping Wu, a co-founder of Google Contact Center AI, is CEO.
Is Cresta remote-friendly?
Yes. Cresta runs a remote-friendly model with a San Francisco hub. Many US engineering and GTM roles are fully remote, though some leadership and specialized roles prefer Bay Area proximity.
How much has Cresta raised?
Approximately $270M across Series A through D from Greylock, Sequoia, and Andreessen Horowitz among others. The 2024 Series D valued the company at roughly $1.6B.
What kind of engineers does Cresta hire?
Machine-learning, NLP and speech, real-time-systems, and backend engineers are the most in-demand, since the product runs low-latency inference over live conversations. Production experience with LLMs, speech recognition, or real-time ML is strongly prioritized.
Which industries use Cresta?
Large enterprises with big contact centers: telecom, financial services, insurance, travel, and retail, where small improvements in conversion or handle time translate into large dollar impact.
How much does Cresta pay?
Across 1 open Cresta listings with posted pay, the median is $43.27 per hour, and most pay between $43.27 and $43.27 per hour.
Is Cresta hiring right now?
Yes. Cresta has 1 open AI training job listed here, updated daily.