Engineering Team Lead

Department: Product

Employment Type: Full Time

Location: Louisiana, Louisiana, Remote - USA, Remote

Key Responsibilities

• Lead the team. Manage, mentor, and grow a small team of product engineers. Run planning and keep delivery predictable.
• Ship product. Design, build, and maintain features yourself, working alongside AI agents.
• Run the AI-native process. Decide how work is broken into tasks agents can carry out: kickoff prompts, acceptance criteria, UAT checkpoints, and completion reports. Refine it as you learn what works.
• Gate AI output with tests. Set the unit, integration, and acceptance testing standard that agent-written code must meet, and hold the team to it in review.
• Keep people in charge of what matters. Set clear human decision points, specifically around development plans and UAT, including PR approval and merge, commit sign-off, and user acceptance testing.
• Protect student data. Own privacy in how we build: access controls, data minimization, integration reviews, and the privacy commitments we make to districts.
• Own data and integrations. Steward our PostgreSQL architecture and the SIS rostering pipelines (OneRoster, Clever, ClassLink) that get the right students into the right classes with the right data.
• Set the quality bar. CI checks, review discipline, and security practices fit for a platform serving a million students a year.
• Measure and improve. Track where AI-assisted development helps and where it hurts. Cut process that slows the team down, and scale what makes it faster and safer.

Skills, Knowledge and Expertise

• 7+ years of professional software engineering, including 2+ years leading engineers as a team lead or engineering manager while still writing production code.
• Production experience with React and TypeScript, plus solid back-end work in Node.js or similar.
• PostgreSQL depth: schema design, query performance, and migrations.
• Cloud experience on Google Cloud Platform (Cloud Run, Cloud SQL, Pub/Sub, IAM). GCP is preferred; AWS or Azure experience transfers if you're ready to ramp up.
• Experience building software that handles sensitive or regulated data. Student data under FERPA or COPPA is ideal, and health, financial, or other regulated data counts too.
• A test-first discipline for AI-written code. You've shipped production code with AI coding agents, can tell us where they failed you and what you changed, and can explain how automated tests gate agent output before it merges.
• Clear written communication. In an AI-native process, task specs and prompts are engineering artifacts.
• Judgment, pragmatism, and steady ownership under ambiguity.

• Education technology experience, especially K-12 SIS or rostering integrations or LMS ecosystems.
• Experience building products used by minors, including COPPA and student data privacy practices.
• Experience building or evaluating LLM-powered features: prompt design, evals, and guardrails.
• Experience bringing structure to a small team that's growing.

Benefits

• $150,000 - $160,000 salary range
• Employee benefits eligibility (health, disability, AD&D, life insurance).
• Matching 401k
• Paid time off
• Generous paid holidays
• Ability to work fully remote
• Company supplied device/laptop