Lead I - Software Engineering

Position: Lead I - Software Engineering

Location: Aliso Viejo, CA

Work Type: Onsite

Job Description:

What You'll Do:

• Embed with internal teams and external customers to understand their workflows, pain points, and goals then design and deploy solutions that fit.
• Build production-quality code, integrations, and automations across AI/GenAI, data, and software platforms to solve concrete business problems.
• Prototype rapid prototypes and proofs-of-concept, iterate based on direct user feedback, and move them into reliable, scalable production.
• Integrate data pipelines, APIs, and third-party systems, handling the real-world messiness of enterprise environments.
• Partner with end users and stakeholders running demos, gathering requirements, troubleshooting live, and translating technical concepts into business value.
• Feed recurring pain points and friction back to product and engineering teams to influence the core roadmap.
• Monitor and improve solutions for reliability, performance, and adoption after launch you own outcomes, not just deliverables.
• Establish the playbooks, standards, and tooling for the FDE function, and mentor junior engineers as the team grows.

Experience:

• 8+ years building and shipping software in production, including significant time owning complex, ambiguous projects end-to-end with minimal supervision.

Technical depth:

• Deep, hands-on programming expertise (e.g., Python, JavaScript/TypeScript, Java, or Go), strong system design judgment, and fluency working across the full stack and with APIs.

Platform fluency:

• Proven experience with data tools (SQL, pipelines, warehouses such as Snowflake/Databricks) and/or AI/GenAI tooling (LLMs, RAG, agentic workflows).
• You bring real breadth and adapt quickly to the right tool for the problem.

Customer-facing track record:

• A track record of customer-facing or forward-deployed work you've shipped solutions directly with end users, navigated enterprise complexity, and earned the trust of senior stakeholders.
• Leadership: You've led projects, set technical direction, and raised the bar for those around you formally or informally.

Communication:

• Exceptional written and verbal communication; you translate fluidly between deep technical detail and executive-level business value.
• Bias for action: You ship, learn, and iterate

Nice to Have:

• Experience deploying AI/ML or LLM-based solutions in an enterprise setting.
• Cloud experience (AWS, Google Cloud Platform, or Azure) and familiarity with CI/CD and containerization.
• Experience as a founding or early member of a new team or function.
• Telecommunications or large-scale enterprise data domain knowledge.