Software Engineer, Fullstack (Conversation Intelligence)

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Are you ready to redefine the future of work with cutting-edge AI? At Cresta, we’re on a groundbreaking mission to supercharge the effectiveness of knowledge workers, making them 100x more productive, 10x faster, and 10x better.

Imagine transforming Call Center operations with our real-time agent assist product and harnessing the power of AI with our comprehensive suite of post-call analytics and coaching tools. Born from the prestigious Stanford AI lab, Cresta was co-founded by visionary Sebastian Thrun, the genius behind Google-X, Waymo, Udacity, and more. Our company is now driven by Ping Wu, the co-founder of Google Contact Center AI and the Vertex AI platform and Tim Shi (co-founder), an early member of Open AI. 

Our world-class team comprises AI and ML experts, dynamic go-to-market leaders, and top-tier investors and advisors from Andreessen Horowitz, Greylock Partners, Sequoia Capital, and former AT&T CEO John Donovan. With an impressive roster of clients like Intuit, Porsche, and Verizon, and accolades from Business Insider, Forbes, and Gartner, Cresta is a startup that’s capturing the world’s attention. We’re also recognized on the Forbes AI50 in 2024!

Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it’s at Cresta.

About the role:

We are seeking an experienced Full Stack Engineer to join the Conversation Intelligence team. The team is at the forefront of this innovation, developing intelligent post-call analysis, agent performance management and coaching tools that are transforming the industry. In this role, you will play a crucial role in designing, developing, and maintaining the core features of our AI-powered conversation intelligence platform. The team is a collaborative but highly autonomous working environment in which each member has a defined role with clear expectations, as well as the freedom to pursue individual projects.

Responsibilities:

  • Play a substantial role in the Cresta Conversation Intelligence engineering team.
  • Work with product team, AI researchers and engineering teams, build and continuously innovate the post-call intelligence platform.
  • Stay closely with customers and their requirements, analyze the technical tradeoffs, own the customer facing deliverables.
  • Develop high quality, well designed, reusable, and well-tested system components, and contribute to the overall system designs.
  • Optimize the platform design and implementation for lower latency, higher throughput, better reliability, and cost reduction.
  • Demonstrate the engineering best practices in deliverables and daily work. Uphold others to the same high standards.
  • Grow into technical ownership in a substantial part of the Cresta product.
  • Contribute to building the best-in-class company in addition to building the best-in-class product.

Qualifications We Value:

  • Bachelor’s degree in Computer Science or related field.
  • 3+ years of experience as a Full Stack Engineer, with proficiency in both front-end and back-end development.
  • Proficient in designing and maintaining clear and robust backend APIs based on strong understanding of various protocols including gRPC, REST, etc.
  • Experience with JavaScript/TypeScript, React and related frameworks.
  • Experience in high performance database schema design and query optimization.
  • Experience in containerized application deployment with Kubernetes.
  • Experience with one of the major cloud providers.

Perks & Benefits:

  • We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
  • Paid parental leave to support you and your family
  • Monthly Health & Wellness allowance
  • Work from home office stipend to help you succeed in a remote environment
  • Lunch reimbursement for in-office employees
  • PTO: 3 weeks in Canada

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in the US and Canada. Your recruiter can provide further details.

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