Salient is pioneering voice AI solutions to transform consumer loan servicing and compliance. Our initial focus: the $1.5T U.S. auto lending market. In under two years since our launch Salient has seen rapid market growth, including: Scaling to more than $10M in ARR

Partnering with some of the largest consumer lenders in America

Cash flow positive

Raising $65m in funding from top-tier venture capital investors

Interfacing with more than 2 million unique US consumers

Processing over $150M in cash transactions

Preventing $30M in fraud and 35k+ CFPB violations

In-person office culture in San Francisco, CA

About the Role We're seeking a Contact Center Integration Engineer to build and maintain seamless communications infrastructure between our AI platform and various contact center solutions. You'll be instrumental in ensuring our platform can effectively integrate with any contact center system our clients use, enabling automated loan servicing communications at scale. This role is crucial in enabling us to deliver reliable, compliant, and efficient customer service solutions to millions of borrowers. Responsibilities Design, implement, and maintain SIP/VoIP integrations between our AI platform and customer contact center systems (Alvaria UIP, LiveVox, Cisco, Genesys, etc)

Configure and manage telecommunications infrastructure to ensure high availability and quality of service for voice communications

Troubleshoot network, latency, and voice quality issues across different contact center integrations

Create and maintain API integrations between our platform and client contact center solutions

Collaborate with external customers and our engineering team to implement seamless integrations

Requirements 2+ years of experience with SIP, WebRTC, and VoIP, nailed-up connections

Prior experience integrating with Alvaria UIP, LiveVox, Cisco, Genesys

Excellent customer communication integration speed is crucial

Proficiency in troubleshooting network and voice quality issues

Familiarity with cloud telephony services and infrastructure

Strong debugging and problem-solving skills

Experience with Python and Go

Ability to work 4 days a week from our San Francisco office (open to candidates willing to relocate)

As an early-stage company building at the frontier of AI, we work with high intensity and commitment. While schedules can vary by role/team, many weeks will demand extra focus, flexibility and time particularly during major launches and high impact sprints. We're seeking those who are aligned to and able to commit to that expectation which includes 4 days per week in our San Francisco Office.

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