Client Success Engineer

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🔥 12 hours ago

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LAHZO

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

Artificial Intelligence • SaaS • B2B

LAHZO is an AI-driven growth partner that provides modular AI Sales Agents and integrated digital marketing solutions to help dealers and enterprises attract, engage, and convert customers 24/7. The platform combines proprietary data sets, geospatial analytics, CRM and inventory integrations, and hyper-targeted advertising to deliver personalized ad-to-agent experiences, smart retargeting, and full-funnel marketing. Lahzo focuses on industry-specific deployments (e. g. , RV, marine, powersports, heavy agriculture, industrial) and positions its solution as a scalable, brand-tailored SaaS offering that boosts lead conversion and funnels qualified leads to sales teams.

📋 Description

• Manage and update client-specific prompt configurations, ensuring AI agents have accurate, current context about each client's business, offerings, and communication style • Apply prompt engineering best practices to tune agent behavior—understanding the downstream effects of changes and validating outcomes before they reach clients • Implement small, targeted code updates based on client requests, working within existing systems rather than building net-new features • See client problems through from first report to confirmed resolution—digging into conversation logs, prompt configurations, and code until the root cause is found and fixed • Maintain a deep understanding of the configuration levers available within Lahzo's platform and know when and how to apply each one • Collaborate with internal teams to triage, prioritize, and resolve client-reported issues in a timely and thorough manner • Document changes, configurations, and known behaviors to build institutional knowledge across the team

🎯 Requirements

• Solid engineering foundation with hands-on experience in TypeScript and SQL, and familiarity with MongoDB • Experience working with LLM-based systems or an understanding of how context impacts AI agent behavior • A passion for the English language and the structure of it, essential for communication and to steer LLM based systems • Strong debugging skills—comfortable reading conversation logs, tracing code paths, and diagnosing issues across both prompt and code layers • Detail-oriented and methodical, with an appreciation for how small changes can have unintended consequences in production systems • Ability to manage multiple client configurations simultaneously without losing track of context or accuracy • Collaborative and communicative—able to work effectively with non-technical teammates while staying grounded in the technical realities of the system • Genuinely energized by solving client problems—you treat a tricky issue as a puzzle and don't feel done until it's fully resolved.

🏖️ Benefits

• medical • vision • dental • unlimited PTO • a 401k • a collaborative, growth-focused, high-trust, high-performance environment where your ideas matter

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