Raspberry AI

Full-stack Engineer

• Design, develop, and maintain a frontend generative AI web app (React/NextJS/Typescript) and related backend services (FastAPI/Python)
• Develop and maintain RESTful APIs for seamless integration with frontend applications
• Collaborate closely with machine learning engineers to translate prototypes into production-ready systems
• Participate in all phases of the software development lifecycle, including design, implementation, testing, and deployment

Senior Product Engineer

Artificial Intelligence

• Own the support queue end-to-end: triage, investigate, resolve, and follow up with customers via Support Desk and email
• Create clear bug reports (steps to reproduce, screenshots, expected vs actual behavior) and track escalations to Engineering
• Improve support workflows and infrastructure: macros, tagging, routing, SLAs/expectations, and internal playbooks
• Evaluate and recommend support tooling and processes to support scale (e.g., Zendesk vs Intercom)
• Maintain and improve customer-facing and internal support documentation with manager (Help Docs, quick guides, Looms)
• Participate in product QA/testing (including weekly bug bash) and proactively test workflows ahead of customer sessions
• Monitor recurring issues and customer friction patterns; share insights with Product/Engineering to prevent repeats
• Collaborate cross-functionally to support launches, incidents, and customer communications when needed

AI Support Specialist

Implementation Specialist

• Lead customer onboarding and training sessions to help users get productive quickly
• Host office hours and follow-up sessions to support ongoing learning and adoption
• Respond to customer questions and troubleshoot issues via the Support Desk, email, or Loom
• Review customer usage to identify blockers, confusion, or opportunities for improvement
• Escalate bugs and product issues to Engineering and track them as needed
• Create and maintain enablement resources such as onboarding scripts, help docs, and Loom videos
• Partner with Customer Success, Product, and Engineering to share customer feedback and insights
• Support teammates by answering questions and contributing to team workflows

AI Implementation Specialist

Business Development Rep

• Break into priority enterprise accounts through personalized, creative outbound strategies (email, social, phone, events, insight-driven content).
• Build multithreaded entry points across Marketing, Innovation, Creative, and IT.
• Identify buying signals, map stakeholders, and warm up accounts for AEs.
• Run structured discovery calls to validate fit, pain, workflow, urgency, and value.
• Complete call notes, qualification frameworks, and opportunity handoff packages.
• Maintain high standards of polish, executive tone, and preparation.
• Own and close inbound commercial opportunities (<5 users) end-to-end.
• Guide prospects through pricing, packaging, and light negotiation.
• Develop early negotiation and closing reps rarely available at the BDR level.
• Partner closely with AEs to shape outbound strategy and accelerate opportunities.
• Work with Product, CS, and Marketing to surface insights from discovery and outbound.
• Uphold a high-quality pipeline hygiene and forecasting discipline.

Senior Product Engineer

AI Support Specialist

AI Implementation Specialist

Business Development Representative