Description
Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage.
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.
The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day.
Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia.
Cresta’s leadership includes some of the leading minds in AI today.
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.
Over the next few years, AI is going to redefine how people all over the world interact with businesses every day.
Come build that future at Cresta.
About The Role
We're seeking a Staff Software Engineer to lead the design and evolution of our backend systems that power Cresta's AI platform.
You'll architect scalable, distributed systems that enable enterprise AI agents to deliver exceptional customer experiences through voice and digital channels.
This role offers the opportunity to shape technical strategy, mentor engineers, and build production systems at the intersection of AI and enterprise software.
This is a generic backend engineering hire.
Team matching will be conducted during the later stages of the hiring process based on your interests, experience, and team needs.
You'll have the opportunity to explore different team areas and find the best fit for your skills and career goals.
Key Responsibilities
Architecture & Leadership: Lead the architecture and evolution of large-scale distributed backend systems, driving cross-team technical initiatives from design through productionScalable Systems Design: Build high-performance, fault-tolerant backend services supporting real-time AI agents, conversation intelligence, and enterprise integrationsAI/ML Collaboration: Partner with ML engineers to operationalize AI capabilities, building the runtime infrastructure and orchestration systems that power AI agents at scaleData & Storage Solutions: Design and optimize data storage and retrieval systems for real-time analytics and insightsProduction Excellence: Drive continuous improvements in system performance, cost efficiency, and scalability to handlehigh-volume production workloadsTechnical Mentorship: Mentor senior engineers, influence technical roadmap, and raise the bar for engineering quality across teams
Required Qualifications
Bachelor's degree in Computer Science or related field8+ years building scalable backend systems in production environmentsProven experience leading large-scale distributed system architecture with deep understanding of consistency, fault tolerance, state management, and concurrencyStrong proficiency in at least one major programming language (Python, Go, Java, C++, or similar)Strong API design expertise (REST, gRPC) and service-oriented architecturesExperience with database design and optimization across SQL and NoSQL systemsHands-on experience with containerization and orchestration (Kubernetes, Docker)Cloud platform expertise (AWS, GCP, or Azure) with strong security knowledgeExperience building developer-facing tooling (CLIs, SDKs, testing frameworks)Strong expertise in system reliability, observability, monitoring, and production ownership (including on-call)Excellent communication skills for technical decision-making, cross-functional collaboration, and mentorshipHigh standards for code quality, testing, and engineering best practices
Preferred Qualifications
Effective use of AI-assisted coding tools (Claude Code, OpenAI Codex, Cursor, etc.) to significantly boost development productivityDeep understanding of real-time communication systems, low-latency design, and high-availability architecturesProven track record with third-party enterprise platform integrationsExperience with Temporal workflow orchestration platformHands-on experience with Postgres, ClickHouse, and ElasticsearchExperience with Contact Center as a Service (CCaaS) platforms or contact center systemsFamiliarity with AI Agents, LLM-based systems, or AI orchestration platformsReal-time voice or streaming media systems backgroundLLM integration experience (streaming inference, prompt orchestration, RAG)Infrastructure-as-code and GitOps workflows
Perks & Benefits
We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needsPaid parental leave to support you and your familyMonthly Health & Wellness allowanceWork from home office stipend to help you succeed in a remote environmentLunch 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.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers.
All Cresta recruiting email communications will always come from the @cresta.ai domain.
Any outreach claiming to be from Cresta via other sources should be ignored.
If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai