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Software Engineer - Backend

San Francisco Bay Area / Remote

At CueIn, we are building a conversation interaction analysis platform that superpowers CX operations with real time mining and observability into conversation transcripts to enable better customer support across chat bot, live chat, voice bot, voice call, cases and more.

CueIn was founded by a caring group of people passionate about conversations and the team had built AI and ML products at Salesforce, Uber, Google and Facebook. We're building for the long term and at CueIn we believe in being customer obsessed and focus on efficient execution while fostering a culture that encourages diversity of ideas and having a safe and inclusive workspace for everyone. 

We are proud to be backed by Lightspeed Venture Partners, Khosla Ventures, and Webb Investment Network. Additional investors include industry leaders at ServiceNow, Salesforce, and Drift and former leaders at Google, VMWare and Airbnb.

About this opportunity

We’re looking for an exceptional Backend Software Engineer, interested in solving complex problems in NLP/NLU/AI space as applied to multi-turn conversational data. You will be responsible for building and maintaining the core technology that includes designing and implementing APIs, algorithms, and data structures that enable our users to interact with our services in meaningful ways.

In this role, you will work closely with the founders and the founding team of engineers and data scientists to develop and deploy cutting-edge AI and NLP technology. You will also be responsible for ensuring that our systems are scalable, reliable, and performant, and for identifying and addressing technical challenges as they arise.

What you’ll do

  • Develop data infrastructure that ingests and transforms data from different sources and customers at scale

  • Define software architecture and design matching the product needs including scalable, high-performance APIs and server-side components

  • Develop automated pipelines to perform different stages of ML model life cycle and build scalable solutions to work with large amounts of data

  • Work closely with the data scientists and frontend engineers to build a seamless user experience.

  • Stay up-to-date with the latest developments in server-side technologies and continuously seek opportunities to improve the backend systems.

  • Evaluate short & long term goals for various solutions and help the team make the right choices based on requirements, current timelines and effort vs results analysis

  • Contribute towards building a solid foundation in terms of tools, components, datasets in the active area of research on large scale multi-turn conversation analysis

  • Apply ML as a major differentiator for the product (you do not need to be an ML engineer yourself)

What you’ll need

  • A startup mindset, biasing towards thoughtful action with minimal direction

  • A deep understanding of the modern back-end ecosystem and experience applying frameworks/tools (AWS, Rest APIs, Python, Postgres) and patterns to complex, production web applications

  • Strong programming skills in languages such as Python, Java, or C++

  • Experience with database schema design and an understanding of query performance that translates to performant, scalable, and reactive products

  • Experience building data pipelines and data infrastructure at scale

  • Good verbal and written communication both technical and non-technical.

  • A Bachelor's or Master's degree in Computer Science, a related technical field, or equivalent practical experience.


At CueIn, we don’t all look alike. We celebrate diversity across all backgrounds, skill sets, cultures, and experiences. We offer flexible family-friendly, work-from-anywhere arrangements. We offer a competitive salary and equity package, benefits plan, and unlimited PTO. We are committed to supporting the personal and career growth of everyone at the company. Join us to shape the future of conversational AI.

CueIn is an Equal Opportunity Employer and we are committed to diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodation for individuals with disabilities. If you would like to request any accommodations from application through to interview, please contact us at