Jobs at Blip (blip.ai)

The Software Engineer role focuses on building and maintaining chatbots using the Blip Platform, requiring strong programming skills and customer communication abilities.

The role involves designing and optimizing distributed data systems, building real-time data pipelines, and mentoring engineers while focusing on scalable data architecture and AI infrastructure.

Lead Blip's Data Platform, Governance, and Architecture teams, translating data strategy into execution while ensuring governance, security, compliance, and scalability. Manage and mentor a high-performing data engineering team and drive the continual evolution of data capabilities to meet business needs.

The Sales Development Representative at Blip is responsible for qualifying leads, engaging potential customers, and supporting the sales process through strategic tools and effective communication.

The Pre Sales Engineer acts as a technical consultant specializing in the Blip product, leading workshops, gathering client requirements, and designing optimized solutions while collaborating with both technical and sales teams.

The Senior Conversational Designer will combine AI with UX practices to create conversational interactions, analyze user needs, and design effective solutions across various platforms.

The Mid-Level Data Engineer will build and maintain data pipelines, ensuring data quality and integration for strategic revenue analysis. Close collaboration with cross-functional teams is essential.

The Data Analyst will create and maintain data products, improve data storage processes, support advanced analytics, and promote data governance practices.

Drive mid-market revenue by acquiring new customers and expanding Blip's Business Messaging footprint. Manage full sales cycle, provide consultative technical selling, collaborate with internal teams for post-sale success, and maintain CRM-based pipeline reporting and forecasts.

Lead product strategy and delivery for client chatbots on the BLIP platform. Own roadmap, KPIs, releases and stakeholder management; drive data-informed decisions, run workshops, coordinate multidisciplinary agile teams, and ensure products deliver business value and user satisfaction.