Top Tech Jobs & Startup Jobs in Boston, MA

Own Cresta’s web platform, CMS architecture, component system, analytics and GTM integrations, localization, SEO/AEO implementation, and engineering practices. Build tooling that enables marketers to work independently and develop, deploy, evaluate, and optimize AI agents for marketing use cases. Partner with brand, design, marketing operations, product, and engineering teams while providing technical leadership and owning projects end to end.

Partners with enterprise account executives to understand customer needs, develop technical solutions, conduct product demonstrations, and lead proof-of-concept and pilot activities. Runs discovery calls, ROI workshops, and technical validation while translating use cases into business value. Trains prospective users, supports adoption, communicates with technical teams, and provides product feedback. Requires expertise in conversational AI, CCaaS, contact center infrastructure, and enterprise SaaS environments.

Own partner relationships and enablement for Crestaplatform, driving onboarding, technical enablement, joint GTM strategies, solution integrations, and revenue acceleration while coordinating Product, Sales, and Services to improve partner performance and adoption.

Develops enterprise AI strategies and roadmaps for customers, identifying automation opportunities, prioritizing initiatives by ROI, and coordinating deployments. Uses conversation intelligence and operational data to uncover customer friction, optimize live AI agents, pilot emerging capabilities, and measure business impact. The role aligns senior stakeholders across CX, Operations, Product, Sales, and IT while collaborating with engineering and product teams to deliver measurable improvements.

Design end-to-end AI builder experiences that enable technical and non-technical customers to create, evaluate, and deploy AI agents and workflows. Conduct user research, simplify complex AI and business logic, prototype with AI-native tools, collaborate with product and engineering teams, and advocate for high-quality, intuitive product design.

Lead go-to-market strategy, positioning, messaging, launches, competitive analysis, and sales enablement for Cresta’s AI Agent and Agentic Assist portfolio. Partner with Product, Sales, Customer Success, Marketing, and executive leadership to drive adoption, pipeline, differentiation, roadmap influence, and category leadership. The role also requires advising executives on market dynamics and platform strategy while building and scaling product marketing teams.

Work with customers to configure and maintain Cresta's Opera platform, identify key moments using keyword/utterance rules, monitor voice analytics trends, produce insight reports, respond to ad hoc analysis requests, and mentor customer analysts to maximize product value.

Leads large-scale AI transformation programs for Cresta’s strategic enterprise customers. Serves as executive sponsor and trusted advisor to C-suite stakeholders, manages matrixed implementation and engineering teams, oversees complex deployments, standardizes delivery governance, and drives measurable customer value, adoption, expansion, and advocacy. Partners with Sales, Customer Success, Product, and Engineering while connecting technical outcomes to business ROI.

Build and scale Cresta’s no-code conversation intelligence platform across the frontend and backend. Responsibilities include creating visual workflow editors, backend services and APIs, data models, storage layers, and scalable systems using React, TypeScript, Python or Go, Postgres, ClickHouse, and Elasticsearch. Collaborate with product, design, and AI/ML teams to deliver intuitive experiences for non-technical users while improving performance, reliability, security, and maintainability.

Leads and develops a team of Enterprise AI Success Managers serving complex enterprise customers. Responsibilities include driving adoption, measurable business outcomes, retention, renewals, expansion, customer health, and operational excellence. The role coaches teams on AI product expertise, configuration, workflows, and value realization while partnering with Sales, Product, Engineering, Marketing, and Professional Services. It also champions customer feedback, uses performance metrics to improve outcomes, and supports strategic executive relationships.