Hiring: Technical Lead Manager Company: Point Location: United States Job Posted Time: 2026-09-12 11:38:59 Employment Type: Remote Target Skills & Keywords : LLM, RAG, Systems Design About the job Experience: •7+ years of software engineering experience building and operating production systems, including at least 2 years leading or managing engineering teams. •At least 2 years leading or managing engineering teams. Required Skills: •Check out our latest Engineering Blog to learn more about why it's a great time to join Point's Engineering team! •Define the AI technical strategy for CX, including evaluating and selecting frameworks, platforms, and vendor solutions. •Own the technical roadmap for Point's AI-powered customer experience — voice, email, chat, and SMS agents that handle real homeowner interactions. •Write code alongside your team — review PRs, prototype new agent capabilities, and debug production issues. •Partner with Product, CX, and Ops to identify where AI agents can replace or augment manual workflows, then ship it. •Establish success metrics for agent performance and use data to prioritize the roadmap. •Design reliable agent architectures — orchestration, tool use, guardrails, fallback handling — that work at production scale. •Lead and grow a small, senior engineering team: set high expectations, remove blockers, create space for deep work. Qualifications: •Proven experience developing and shipping LLM-powered, conversational AI, or agentic systems in real-world environments. •Track record of delivering customer-facing products end-to-end, from initial design through deployment, monitoring, and iteration. •Strong ability to partner with cross-functional stakeholders (Product, Operations, CX) to translate business needs into scalable technical solutions and deliver measurable impact. •Deep systems design expertise, with a focus on building reliable, observable, real-time services. •Demonstrated technical leadership, including guiding architecture decisions, evaluating trade-offs, and ensuring high-quality execution. •Proven ability to hire, mentor, and develop high-performing engineering teams, fostering a culture of ownership, innovation, and continuous learning. •Applied hands-on capability in LLM and agent development, including prompt engineering, RAG, tool usage, and orchestration frameworks. •Comfortable making build-vs-buy decisions and rigorously evaluating third-party vendors and platforms. •Operational familiarity with conversational AI infrastructure such as telephony, messaging APIs, or chat platforms at scale (preferred). •Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Compensation: •Flexible work environment (work from home / hybrid options) •We provide comprehensive medical, dental, and vision plans with options for flexible spending accounts (FSA) and health savings accounts (HSA) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!