Cresta
Senior Full Stack Engineer - Conversation Intelligence
United States (Remote) · Senior
Sponsorship not specified$205k-$270kDetected 12 days ago
TypeScriptPythonGoReactBackend DevelopmentFull-Stack DevelopmentCode ReviewPostgreSQLElasticsearchCI/CDRESTMachine LearningLLMsAgentic AILeadershipCommunicationCollaborationMentoring
About the role
- The QM & Coaching Team at Cresta is vital for our post-call intelligence products.
- Our core mission is to utilize Large Language Models (LLMs) and advanced AI techniques to transform conversations into actionable intelligence, streamlining the process of agent performance review and coaching.
- Through AI-powered exploration and interactive workflows, our work empowers organizations to leverage data-driven decisions and enhance the overall customer experience.
Responsibilities
- Design, develop, and maintain end-to-end features for Cresta's no-code processing platform.
- Build intuitive UI components and visual editors for configuring conversation logic and workflows.
- Architect and implement backend services and APIs to power a dynamic no-code interface.
- Develop data models and storage layers using Postgres, ClickHouse, and Elasticsearch.
- Participate in design discussions, code reviews, and continuous integration processes.
- Cresta's unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel.
Requirements
- Proven experience as a Senior Fullstack Engineer, with strong frontend and backend contributions to no-code or low-code platforms.
- Backend expertise in Python, Go, or similar languages
- experience with RESTful APIs and microservices architecture.
- Deep understanding of modern frontend technologies (React, TypeScript, etc.) and design patterns for building complex UIs.
- Experience building platforms or tools for non-technical users, especially in AI/ML, automation, or workflow spaces.
- Familiarity with managing state, execution logic, or visual programming paradigms is a bonus.
- Strong collaboration and communication skills-able to work effectively across product, design, and engineering teams.
- Passion for building systems that simplify complex problems and empower users.
- Perks & Benefits:
- We offer a comprehensive and people-first benefits package to support you at work and in life:
- Comprehensive medical, dental, and vision coverage with plans to fit you and your family
- Flexible PTO to take the time you need, when you need it
Nice to have
- Strong foundation in database systems and data modeling
- hands-on experience with Postgres, ClickHouse, or Elasticsearch is a plus.
Compensation
- Cresta's approach to compensation is simple: recognize impact, reward excellence, and invest in our people.
- We offer competitive, location-based pay that reflects the market and what each individual brings to the table.
- The posted base salary range represents what we expect to pay for this role in a given location.
- In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.
- $205,000-$270,000 + Offers Equity
Benefits
- Paid parental leave for all new parents welcoming a new child
- Retirement savings plan to help you plan for the future
- Monthly wellness and communication stipend to keep you connected and balanced
- Remote work setup budget to help you create a productive home office
- In-office meal program and commuter benefits provided for onsite employees
Company info
- You will work across the stack-from building intuitive UIs to robust backend services-enabling customers to unlock value from conversations quickly and flexibly.
- Our CEO, Ping Wu, founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences.
- We offer competitive, location-based pay that reflects the market and what each individual brings to the table.
This listing is sourced directly from Cresta's careers page and normalized into a canonical job model.