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About EasyBee AI EasyBee AI builds intelligent automation powered by generative AI, helping businesses operate with the efficiency of a beehive. Our AI agents streamline workflows, integrate with core systems, and unlock productivity across industries. We're a fast-moving, mission-driven team with deep experience in AI, enterprise systems, and startup building. If you're excited about shaping how AI transforms real operations in the real world, you'll love working with us. Role: Technical Customer Success Engineer You will be the technical owner of the customer journey post-sale, leading implementation, ensuring smooth integrations, and driving long-term product adoption. This hybrid role blends solution architecture , data engineering , and customer-facing consulting . What You'll Do Implementation & Onboarding Lead technical discovery, architecture design, and implementation plans. Build and validate ETL pipelines (Python/SQL/integration platforms). Configure API/MCP integrations with systems like CRM, ERP, and FMS (Facilities Management System). Deploy AI agents and establish initial performance baselines. Coordinate cross-functionally and track progress in Notion/Slack. Customer Success & Adoption Monitor system health and troubleshoot integration or performance issues. Run workshops, train customer teams, and guide feature adoption. Maintain customer playbooks, documentation, and best practices. Identify upsell opportunities based on customer needs. UAT & Quality Assurance Set up UAT environments with production parity. Build and run test cases (load, data integrity, agent accuracy). Track and resolve defects with Engineering. Continuous Improvement Analyze logs/telemetry to optimize performance and scalability. Standardize reusable scripts, runbooks, and integration blueprints. Provide structured feedback to Product & Engineering. Help develop technical case studies and customer stories. What Makes You a Great Fit You're a deeply technical builder who can also lead customers with confidence and clarity. Technical Skills Strong enterprise integration experience (APIs, SDKs, webhooks). Proficient in Python, SQL, and data engineering fundamentals. Experience with OAuth 2.0, SAML, CRMs, ERPs, or FMS platforms. Skilled in troubleshooting complex system issues. Comfortable with performance tuning and UAT processes. Customer & Communication Skills Exceptional communicator who can simplify complex concepts. Confident running discovery calls, training workshops, and executive briefings. Organized project lead who manages timelines and milestones. Trusted advisor who thinks proactively and acts with ownership. Product Mindset Gather structured feedback to influence product direction. Enjoys documenting, standardizing, and improving processes. Capable of writing clear technical narratives and success stories. Success Metrics Onboarding new customers on schedule High UAT pass rate with low post-launch issues Improved implementation efficiency Strong customer satisfaction (NPS 8+) Identified expansion/upsell opportunities
