Engineering Manager

• We’re hiring a Technical Lead Manager to lead the team building them. You’ll run a small, senior team, stay hands-on in the code, set technical direction, and work directly with Product, Ops, and CX. If you want to ship applied AI that customers directly interact with, this is the role
• 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
• Drive observability and reliability across the AI agent stack, leveraging tools like Langfuse

Benefits

• Health Insurance: Point provides platinum-rated plans for medical (Anthem Blue Cross or Kaiser Permanente), dental and vision (The Standard). We cover 99% of employee premiums and 75% of dependent premiums
• Generous Vacation: Take time for yourself and your family when you want - Point has an unlimited vacation policy
• Continued Learning: We encourage all team members to attend events hosted by our investors, external workshops and conferences. We believe in continuous improvement and want to support employees on their professional journeys
• Family Friendly: Point will top off state applicable PFL earnings, as well as two weeks of fully paid leave to be available after exhaustion of state PFL. In addition, employees will receive 4 weeks: s of fully paid transition time. For the first consecutive four weeks after returning to work following parental leave, and following exhaustion of all other paid leave benefits, the employee may work part-time, meaning two or three days per week, and will receive 100% of regular base pay
• Work From Home Stipends: With employees working remote, Point will provide employees a $50 monthly cell phone stipend and a $50 monthly internet stipend. In addition, we will reimburse up to $150 to help you purchase supplies for your home office.remote, Point will provide employees a $50 monthly cell phone stipend and a $50 monthly internet stipend. In addition, we will reimburse up to $150 to help you purchase supplies for your home office

• Experience managing and mentoring engineers, driving performance, and building a strong, accountable engineering culture
• Proven ability to hire, mentor, and develop high-performing engineering teams, fostering a culture of ownership, innovation, and continuous learning
• Experience defining and driving technical strategy and roadmaps for AI-driven, agentic customer experiences aligned with business objectives
• Strong ability to partner with cross-functional stakeholders (Product, Operations, CX) to translate business needs into scalable technical solutions and deliver measurable impact
• Familiarity with conversational AI infrastructure such as telephony, messaging APIs, or chat platforms at scale (preferred)
• 7+ years of software engineering experience building and operating production systems, including at least 2 years leading or managing engineering teams
• Demonstrated technical leadership, including guiding architecture decisions, evaluating trade-offs, and ensuring high-quality execution
• Hands-on experience with 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
• Proven experience developing and shipping LLM-powered, conversational AI, or agentic systems in real-world environments
• Experience with AI/ML evaluation and observability, including instrumentation for quality, drift detection, and continuous improvement (preferred)
• Track record of delivering customer-facing products end-to-end, from initial design through deployment, monitoring, and iteration
• Deep systems design expertise, with a focus on building reliable, observable, real-time services
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience