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

: The Senior Solutions Architect role at Cresta is dynamic and integral, requiring deep understanding of Cresta's capabilities and their integration with enterprise systems. As part of a selective and growing team, Enterprise Architects also help define sales and execution processes for effective land-and-expand strategies.

Responsibilities

, Call Center infrastructure, Chat platforms, AWS services, Workforce Management, Automation, ChatBots, CRM, Integrations).

Benefits

Owning the Technical Architecture blueprint from pre-sales to post-sales, ensuring technical wins by managing stakeholder expectations and collaborating across multiple levels (from end-users to executives) and with internal teams (Pre-sales Solution Engineers, engineering, and success organizations). Pre-sales: problem solving with end-customers to determine best solution architecture and integration approach. Post-sales: supporting the technical implementation team to help get customers up and running on Cresta.

Along the way, closely collaborating with Sales, Product, Marketing, and Engineering in order to meet existing, new, and future customer needs.

: We offer a comprehensive

Qualifications

) Good understanding of integration options, APIs, iPaaS, UI Integrations Highly experienced with AWS, GCP, Salesforce Strong expertise in enterprise architecture, cloud platforms, AI/ML, and data systems. Has extensive experience in large scale enterprise software implementations and solutions architecture Deep understanding of how enterprises leverage Generative AI solutions. Is highly organized: able to manage complex internal and external processes with many different stakeholders and timelines ensuring that all parties are kept in the loop with clear notes, action items, and next steps to keep projects on track and successful.

Is able to build strong external relationships with external technical stakeholders and in general able to take a consultative and strategic approach to solving customer problems. Experience managing and advising on large-scale programs with multiple stakeholders and dependencies. Is willing to do some travel (if/when the world goes back to normal) but before then be willing to be on frequent video calls with customers in EST - PST time zones.

Product Engineering Partnership Gather and synthesize customer feedback to inform product and engineering priorities. Identify and address gaps in technology adoption or deployment through cross-functional collaboration. Influence future product strategy with insights derived from real-world field engagements.

Perks