Head of Engineering

EnrollHere • Raleigh, NC

8d

About The Position

This is a foundational leadership role. You will own responsibility for the engineering organization — its people, architecture, delivery, and culture — at a moment when the company has the resources to build something durable and the urgency to build it fast. You are not solely a manager; you are an engineering leader. You work with senior engineers to solve complex issues, establish processes that scale, perform thorough code reviews, and make impactful architectural decisions. Additionally, you demonstrate discernment in delegating responsibilities, providing constructive challenges, and knowing when it is appropriate to step back. The mandate is clear: increase the velocity, quality, and security of product delivery — and do it by building a team and engineering culture that does not depend on heroics. Artificial Intelligence, automation, and strategic partnerships are primary levers, not afterthoughts. The buck stops with you.

Requirements

• Engineering Credibility: As an engineer, you lead by example and are expected to demonstrate proficiency in coding, code review, and active participation in architectural decisions alongside the most skilled members of the team. These capabilities are essential, as any shortcomings will be promptly recognized by the team.
• A Track Record of Measurable Improvement: You do not just adopt new technology — you operationalize it and point to outcomes. You have led engineering organizations through meaningful improvement cycles and have specific results to show for it: delivery velocity, quality metrics, security posture, team capability.
• Pragmatic Judgement: You think strategically but you do not over-build. You know the difference between technical debt that needs to be paid now and technical debt that can be managed. You can sleep at night when the balance sheet is not perfect, as long as you know exactly what is on it and have a plan.
• Experience in Regulated or Complex SaaS Environments: You understand what it means to build software where compliance is real and the cost of getting it wrong is significant. Experience in healthtech, insurtech, or Medicare distribution is a meaningful advantage — not required, but it shortens your ramp and signals you understand the stakes.
• People Leadership in Complex Team Environments: You have inherited teams with existing dynamics, informal power structures, and varying levels of capability. You know how to build culture without blowing up the people who built the product. You lead by example, set clear expectations, and follow through.
• AI Automation Fluency: You have a practical point of view on how AI and automation change the engineering function — and you have put that point of view into practice. You are not chasing hype; you are building sustainable capability.
• 8-10 years of progressive engineering experience, with at least 3-5 years in a senior engineering leadership role owning a team and a product
• Demonstrated ability to expand engineering capacity through a combination of AI‑native development practices and effective use of off/near-shore or distributed teams, increasing output and leverage without sacrificing quality, velocity, or accountability.
• Hands-on engineering capability — you have written production code and can still do it when it matters
• Experience leading engineering in a SaaS product company; regulated industry experience (healthtech, insurtech, fintech) strongly preferred
• Proven track record of improving engineering velocity, quality, and security with specific, measurable outcomes
• Experience with cloud-native platforms (GCP preferred), containerized workloads (GKE/Kubernetes), and modern backend architectures
• Familiarity with AI/ML integration in production SaaS environments

Nice To Haves

• Experience in healthtech, insurtech, or Medicare distribution is a meaningful advantage

Responsibilities

• Own end‑end engineering delivery across the full product surface — enrollment workflows, the commission engine, AI‑driven compliance scoring, telephony infrastructure, and the underlying platform that ties it all together
• Drive sprint execution, release cadence, and delivery predictability without losing the pace a PE‑backed growth company possess
• Establish engineering processes that scale without the bureaucracy that kills momentum — lightweight rituals, clear ownership, and fast decision‑making
• Transform the Product Development Lifecycle to incorporate agents and autonomous capabilities driving increased innovation
• Build a culture where engineers feel real ownership of outcomes, not just tickets. That means clarity of priorities, transparency around tradeoffs, and a bias (not hard line) toward finishing work, not starting more of it
• Set expectations for how the team collaborates: thoughtful code reviews, healthy debate, and a shared commitment to raising the bar on quality and reliability
• Create an environment where engineering, QA, and product operate as one delivery unit — aligned on goals, honest about risks, and accountable to the same definition of “done.”
• Anchor decisions in customer impact. Engineers should understand how their work shows up in an agent’s workflow, a carrier’s integration, or a beneficiary’s enrollment experience — and use that context to guide tradeoffs, simplify complexity, and eliminate friction
• Model the behaviors you expect, such as: direct communication, curiosity, urgency without panic, and a willingness to roll up your sleeves when the team needs it
• Own technical direction and architectural strategy across the platform
• Make pragmatic architectural decisions — right-sized to where the company is today, with a clear-eyed view of where it needs to go
• Manage technical debt actively and transparently — it does not need to be zero, it needs to be known, tracked, and directionally improving
• Identify and implement AI and automation capabilities that materially improve engineering velocity, code quality, and security — not as a pilot program but as a core operating practice
• Evaluate and leverage technology partnerships that accelerate capability without creating dangerous dependencies
• Build a team that treats AI tooling as a standard part of the engineering workflow
• Partner across teams to build an AI innovation roadmap that puts customers first, woven into the product naturally — not bolted on
• Lead and develop a team of engineers across varying levels of seniority, experience, and working style that does not compromise the culture, but promotes it
• Build a collaborative, entrepreneurial engineering culture — one where ownership is shared, standards are high, and people do their best work without burning out
• Hire, develop, and when necessary, make hard calls on team composition or individual performance accountability
• Create clarity of role and accountability for senior engineers, including those operating in informal leadership positions
• Own the organization's security posture as an AI-augmented engineering practice, embedding automated code analysis, threat detection and policy enforcement directly into the development and deployment lifecycle
• Establish a quality culture reinforced by AI and automation, using intelligent test generation, continuous regression detection, and clear quality gates so reliability and coverage are enforced by default, not inspection
• Improve platform resilience through AI‑driven observability and disciplined releases, leveraging anomaly detection and automated root‑cause analysis to reduce incidents and eliminate repeat failures
• Ensure regulatory and contractual compliance is engineered into the platform, using automated controls, continuous validation, and auditable enforcement for HIPAA‑adjacent data handling and carrier obligations
• Translate compliance requirements into executable, AI‑testable engineering standards in partnership with compliance and operations, ensuring consistency and repeatability across teams and releases
• Champion a data‑ and AI‑powered feedback loop across engineering, QA, and production, enabling earlier defect detection, automatic regression prevention, and continuous system‑level learning

Benefits

• Medical: 4 United Healthcare medical plans (including an HSA option)
• Dental: 3 dental plans (Aetna and MetLife)
• Vision: 2 Aetna vision plans
• Wellness & Mental Health: 5 additional Medical Plus benefits, including telehealth support and an annual Talkspace subscription
• Ancillary Coverage: 4 ancillary plans and supplemental life insurance
• Retirement: 401(k) with a 4% match (after 90-day exclusionary period)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed