Customer Success Engineer

Responsibilities

• Serve as the technical advisor and strategic owner for a portfolio of enterprise accounts, partnering with developers, CIOs, and CTOs.
• Own the full customer lifecycle, including onboarding, adoption, technical enablement, expansion, and advocacy.
• Drive adoption through live demos, workshops, architecture guidance, troubleshooting, and best-practice recommendations.
• Continuously discover customer problems, understand their business impact, and translate them into actionable requirements for product and engineering.
• Identify and scope cross-sell, upsell, and multi-product expansion opportunities with Sales.
• Lead executive business reviews and joint planning sessions.
• Act as the voice of the customer internally, influencing roadmap, go-to-market strategy, and customer-support tools.
• Track adoption, usage, health, and expansion to drive outcomes.
• Travel to customer sites as needed.
• Operate AI-first and build tools, agents, and workflows that eliminate recurring work for the Customer Success team.

Requirements

• Significant experience in technical, customer-facing roles such as Technical Account Management, sales or solutions engineering, enterprise Customer Success with a strong technical focus, implementation, or forward-deployed work at API-driven, developer-first, or AI companies.
• A track record blending customer ownership with technical depth, including solution design, hands-on troubleshooting, and commercial growth.
• Experience running demos, proofs of concept, or technical workshops with enterprise customers.
• Demonstrated success identifying and landing expansion in complex enterprise accounts.
• Fluency discussing APIs, integrations, and developer workflows, including troubleshooting L1-style issues without coding.
• Experience engaging technical stakeholders and executive buyers.
• Exceptional communication, influence, and relationship-building skills across technical and business audiences.
• A tool, agent, script, or workflow that permanently eliminated recurring work.
• An AI-native operating model with specific workflows that structurally depend on AI.

Nice to Have

• Experience in machine learning, voice AI, cloud infrastructure, or developer-first technologies.
• Background spanning solutions engineering, Technical Account Management, or L1 support alongside Customer Success responsibilities.
• Working fluency with automation, scripting, or agent-building using Python, TypeScript, workflow tools, agent frameworks, or equivalent.