The Enterprise Solutions Engineer partners with Account Executives to conduct product demos, manage technical validations, and develop business cases for prospective customers. They act as a technical liaison between sales, customers, and internal teams to translate requirements into effective AI-driven solutions.
Build and maintain Cresta’s frontend platform, develop reusable and well-tested system components, and collaborate with product, engineering, and customers to deliver platform improvements. Expand the product to native and hybrid mobile applications by building Android and iOS SDKs for AI agent integrations.
The Partner Success Director will own relationships with technology and solution partners to drive platform adoption and mutual business growth. They will design enablement programs, execute go-to-market strategies, and serve as the primary point of contact for the partner ecosystem.
You will own the technical architecture and development of cresta.com while building and optimizing AI agents for marketing use cases. This role involves partnering with marketing and design teams to implement web platforms, SEO strategies, and data instrumentation.
You will act as an embedded AI leader, identifying automation opportunities and building roadmaps to deliver measurable business results for customers. You will also optimize live AI agents, analyze conversation data for insights, and align cross-functional stakeholders on strategic initiatives.
You will design intuitive, self-serve builder experiences that allow users to configure and deploy AI agents and workflows. You will collaborate with cross-functional partners to define problem spaces, conduct user research, and iterate on production-ready design solutions.
The Sr. Director of Product Marketing will define and drive the go-to-market strategy for the Cresta Agents portfolio. They will partner across product, sales, and marketing teams to execute launches, refine positioning, and influence roadmap priorities based on market data.
The Embedded AI Expert will configure and maintain the company's self-service product while providing actionable insights and performance reporting to customers. They will also monitor conversation trends, respond to ad hoc business requests, and mentor customer analysts on tool utilization.
Manage a portfolio of 13-25 Enterprise accounts in Spain and Portugal while generating new business pipeline. Partner with internal teams to deliver exceptional customer experiences and shape the regional go-to-market strategy.
The manager will own the strategy, execution, and performance of a high-volume portfolio of field marketing programs to drive pipeline and revenue. They will partner closely with Sales to target accounts and optimize program investments for maximum business impact.
The Program Director will lead large-scale AI transformation programs for strategic enterprise customers, serving as an executive sponsor and trusted advisor. They will manage cross-functional teams to ensure successful deployments, drive business value, and influence product and go-to-market strategies.
You will partner with EMEA sales leadership to drive go-to-market strategy, territory design, and operational planning. Additionally, you will manage the regional business rhythm, including forecasting, pipeline health, and data-driven performance analysis.
You will own the deployment lifecycle and outcomes for AI agents, partnering with engineers to design, build, and optimize solutions for customers. This role involves leading customer relationships, facilitating design workshops, and providing feedback to improve the core AI platform.
You will design, develop, and maintain end-to-end features for Cresta’s no-code processing platform while building intuitive UI components and backend services. You will also collaborate with ML engineers to expose conversation intelligence and ensure the scalability and reliability of the technology stack.
You will lead and develop a high-performing team of AI Success Managers to drive adoption, retention, and measurable business outcomes for enterprise customers. This role involves building an operational rhythm, coaching the team on product expertise, and partnering cross-functionally to ensure long-term customer value.
The Growth Marketing Manager will build and own a growth thesis for paid and digital channels, focusing on pipeline and acquisition goals. They will lead paid social and search programs while collaborating cross-functionally to drive output and experiment with new AI-driven workflows.
The Special Projects Lead will scale the AI Agent deployment motion by building operational foundations and managing cross-functional projects across product and go-to-market. They will also own business reviews, establish documentation standards, and drive key initiatives from proof-of-concept to production.
The Engagement Manager will own the end-to-end SOW process, including scoping, pricing, and selling professional services for the core platform and AI Agent products. They will build repeatable processes and templates to scale the services-selling function while partnering with Sales and Product teams to drive revenue.
Serve as the primary technical expert on AI Agent technology to support sales cycles and drive technical discovery workshops. Partner with Core Solutions Engineers and Sales Directors to design agent-powered solutions, build business cases, and provide feedback to the product team.
The Deal Strategy & Operations Manager will architect and execute complex enterprise transactions while partnering with Sales, Finance, and Legal teams. They will also drive process modernization for the quote-to-cash lifecycle and provide strategic enablement to the Sales organization.
You will lead the end-to-end design and deployment of conversational AI solutions for enterprise customers across the APAC region. This involves managing complex implementations, collaborating with cross-functional teams, and empowering customers to maintain their own AI models.
You will design, build, and deploy AI-driven integrations for enterprise contact centers using Cresta's SDKs and APIs. Additionally, you will partner with internal teams and customer stakeholders to ensure seamless technical execution and ongoing product maintenance.
Serve as the primary technical expert for AI Agent technology, leading discovery workshops and high-stakes demonstrations to drive sales opportunities. Collaborate with Core SEs and Product teams to translate business problems into technical solutions and provide product feedback.
Lead end-to-end customer deployments of AI solutions in the APAC region to drive measurable business outcomes. Act as the primary bridge between technical AI initiatives and real-world adoption for enterprise customers.
Design and maintain scalable backend architectures and robust APIs to support AI Agent solutions and proprietary models. Collaborate with cross-functional teams to optimize server performance, reliability, and security in production environments.
Build zero-to-one AI product experiences from early concept through prototype and productionization. Collaborate with cross-functional teams to translate ambiguous customer needs into technical designs and optimized AI workflows.
The SDR is responsible for building the sales pipeline through outbound prospecting and inbound qualification. This includes executing outreach campaigns via email, calls, and social media to generate qualified meetings for account executives.
Architect and build scalable backend systems for agent assist integrations and authentication frameworks. Ensure high availability and security for real-time conversation systems within complex enterprise ecosystems.
Own relationships with strategic partners to showcase and enable the Cresta AI platform for mutual customers. Act as a trusted advisor by connecting technical capabilities to business outcomes and driving partner-led revenue growth.
Design and maintain scalable backend services, APIs, and distributed systems to power AI-driven customer experience products. Collaborate with cross-functional teams to ensure the reliability, performance, and security of production systems.
Design and build scalable backend services to integrate AI Agents with CCaaS platforms for real-time customer conversations. Architect systems for conversation state management and seamless AI-to-human handoffs while ensuring high availability and security.
Partner with Fortune 500 customers to drive AI product adoption and measure business outcomes through strategic consulting. Act as a hybrid of a strategy consultant and AI product expert to execute process change management and ensure value realization.
You will develop, deploy, and optimize AI agents while integrating them with external systems to solve practical customer problems. Additionally, you will collaborate with customers and internal teams to gather requirements, conduct demos, and provide technical guidance for successful AI deployments.
The Enterprise Account Executive will manage complex sales cycles for Fortune 1000 companies, from initial contact to contract closure. They will also build relationships with key executives and collaborate with internal teams to deliver an exceptional customer experience.
Drive revenue growth by leading complex sales opportunities and building a high-quality pipeline of strategic prospects. Partner with cross-functional teams and serve as a trusted advisor to senior executives to expand the company's footprint.
Drive revenue growth by leading complex sales opportunities and building a high-quality pipeline of strategic prospects. Collaborate cross-functionally with product and marketing teams while serving as a trusted advisor to senior executives at Fortune 500 companies.
The VP of Partnerships will define and execute the EMEA partnership strategy to drive revenue growth through system integrators, resellers, and BPOs. This role involves leading high-impact strategic deals and collaborating across global teams to expand the company's enterprise footprint.
You will design and build core infrastructure to empower engineering workflows and ensure the reliability of multi-cloud Kubernetes clusters. Additionally, you will focus on automating operations and building machine learning infrastructure to support AI model training and deployment.
You will design and maintain core infrastructure to support engineering workflows, including deployment pipelines and developer tools. Additionally, you will manage multi-cloud Kubernetes clusters and build infrastructure to support large-scale machine learning operations.
The role involves designing, implementing, and maintaining evaluation frameworks to measure model performance across ASR and NLP systems, while leading ASR quality improvement efforts through error analysis and metric definition. Responsibilities also include developing, training, and deploying machine learning models for speech recognition and downstream tasks, and partnering with research to deploy improvements.
This role involves leveraging domain expertise in Customer Experience ecosystems to serve as the authoritative source on Cresta's platform integrations and technical benefits. The architect will own the Technical Architecture blueprint from pre-sales through post-sales, ensuring technical wins by managing stakeholder expectations and collaborating across all internal teams.
The Accountant will execute period-end close activities, including preparing journal entries and reconciliations, while also managing vendor bills, Accounts Receivable, and expense reports. This role involves partnering with Sales, Finance, and HR to support and scale the accounting function.
Define and lead the technical vision for next-generation Agentic AI systems, architecting scalable, production-grade LLM systems that integrate reasoning, retrieval, planning, and tool use into intelligent workflows. Own the evaluation strategy for complex AI systems, proactively mitigating failure modes like hallucinations and prompt brittleness while defining measurable quality standards.
The lead will be responsible for building systems that power the top-of-funnel motion by transforming signals, enrichment data, and automation tools into measurable pipeline impact. This involves designing and operating enrichment waterfalls and translating prioritized audiences into actionable sequences and workflows for SDRs.
The role involves building and maintaining a robust platform for frontend development, focusing on desktop screen capturing and analytics systems. The engineer will work closely with product and engineering teams to enhance compliance and QA processes.
The role involves developing, configuring, deploying, and optimizing state-of-the-art AI agents using LLMs, while building seamless integrations with external enterprise systems like APIs and CRMs. This engineer will also collaborate closely with customers to gather requirements, provide technical guidance, and ensure high-impact, cost-effective AI agent deployments.
As a Forward Deployed Engineering Intern, you will assist in developing and configuring AI agents, build and test integrations, and support performance tuning. You will work with customers and internal teams to understand requirements and iterate on solutions.
Design, implement, and maintain backend services and APIs to support applications. Collaborate with cross-functional teams to deliver end-to-end solutions.
The Customer Strategy Director will act as a strategic thought partner for enterprise customers, aligning Cresta’s solutions with their goals. They will lead customer engagements and ensure proposed solutions support key initiatives.
The Senior Software Engineer will design, scale, and operate distributed services for Cresta’s voice ecosystem. Responsibilities include leading the development of backend microservices and collaborating with cross-functional teams to implement innovative features.
The Director, Enterprise Sales will lead a team of Enterprise Account Executives to drive new business and expand key accounts. Responsibilities include recruiting and developing the team, managing performance, and collaborating with cross-functional teams to achieve business goals.
The role involves designing, building, and maintaining low-latency serving stacks for ML models, as well as automating training pipelines and optimizing performance at scale. Additionally, the engineer will create reusable SDKs and mentor others on production ML best practices.
The Forward Deployed Product Manager will own the deployment lifecycle for AI Agents, ensuring successful implementation and optimization. They will also lead customer relationships and facilitate workshops to align on use cases and success criteria.
As an AI Agent Engineer, you will develop, configure, deploy, and optimize AI agents while ensuring high-impact deployments. You will collaborate with customers and internal teams to gather requirements and refine solutions.
Design, implement, and maintain backend services and APIs to support applications while collaborating with cross-functional teams. Monitor and troubleshoot performance issues in distributed systems and databases.
Own the sales experience while building and managing relationships with key decision-makers and executives. Run complex sales cycles from initial contact to close.
