Senior Engineering Manager

Hireclout; United States; Remote; USD 225,000 - 275,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401(k) with match

Paid time off

Employee wellness programs

Job summary

Hireclout is seeking a Senior Engineering Manager to lead multiple engineering teams in a fully remote US role. You will shape an AI-native engineering culture, set standards, and enable delivery across product, design, and platform teams.

You will own the health of production systems, drive reliability metrics, and mentor managers to build scalable organizations with strong technical depth and cross-team collaboration. This role emphasizes impact and long-term architectural thinking.

Qualifications

• Experience leading engineers and managers through scaling and growth.
• Technical depth across multiple domains; participate in design reviews and challenge API contracts.
• Production engineering across teams on AWS or Azure; observability, SLOs, incident response.
• Experience with secure, privacy-sensitive systems; PHI/HIPAA familiarity preferred.
• Decision-making based on delivery, quality, reliability signals and data.

Responsibilities

• Build and grow a strong engineering organization spanning multiple teams.
• Create a credible delivery system with visibility of priorities and dependencies.
• Partner with Product and Design leadership to translate business priorities into executable plans.
• Maintain high engineering standards and ensure actions align with long-term quality.
• Own production health and deploy reliable systems with proactive intervention.
• Define AI-related delegation, verification, and review practices across teams.

Skills

Leadership

Scale organizations

AI-native engineering

AWS/Azure

Design reviews

Job description

Job Title:Senior Engineering Manager

Role Overview

We are partnering with an established, growth-oriented technology organization that is modernizing how it builds software, including new customer-facing web and mobile experiences, a unified design system, and AI-powered capabilities across its products. This is a full-time, fully remote opportunity within the United States, focused on raising the engineering bar for how software is designed, built, and operated, with Engineering, Product, and Design working together end to end.

AI is part of how this team engineers, not a productivity add-on. Engineers use agentic development as standard equipment: writing clear specs, delegating meaningful work to AI agents, and applying strong technical judgment to what comes back. The platform carries sensitive health-related data for a large member base, so reliability, privacy, and correctness are non-negotiable, not a tax on velocity.

As a Senior Engineering Manager, your organization is your product. You are accountable for what multiple teams ship, how the group operates as AI changes the job, and the managers and engineers who grow under your leadership. The role is not to run any one team day to day, but to create the conditions, standards, and talent pipeline that let several strong teams move with high ownership and autonomy.

Key Responsibilities:

Build and grow a strong engineering organization, not just a single team. Create clarity, accountability, and growth so multiple teams, and the managers or leads within them, can take on increasing scope and perform at a high bar.

Create a credible delivery system across teams. Make priorities, ownership, dependencies, and capacity visible across the group you lead, and resolve the tradeoffs that no single team can make on its own.

Partner with Product and Design leadership on outcomes and execution at the domain level. Get pulled into discovery early, turn business priorities into executable plans across teams, and negotiate scope directly when AI-driven planning speed outpaces what engineering can safely validate and ship.

Hold the engineering bar across your organization. Ensure important technical decisions get the right depth of review everywhere you’re accountable, and build the standards that make good judgment repeatable without your direct involvement in every decision.

Own the health of what your organization puts into production. Make sure every team you’re accountable for can operate what it ships and respond effectively when things fail, and use delivery, quality, and reliability signals to know where to intervene and fix structural causes rather than recurring symptoms.

Set how your organization works with AI, and shape talent and standards around it. Define the delegation, verification, and review practices multiple teams adopt, evolve hiring and leveling criteria to reflect AI-native skills, and mentor other managers on coaching their engineers through the same shift.

Education & Qualifications:

• You’ve led engineers and managers through the hard parts of scaling an organization. You’ve set expectations, coached people at different levels, managed performance, supported career growth and promotions, and handled difficult conversations directly, across more than one team.
• You have technical depth engineers and managers trust, across more than one technical domain. You can engage meaningfully in design reviews for Java, Python, C#, or similar systems, challenge API contracts and data models, and reason about failure modes and testing strategy well enough to hold other managers accountable for the same rigor.
• You’ve owned production engineering across multiple teams running on AWS or Azure. You’ve been accountable for observability, SLOs, on-call, incident response, and postmortem follow-through at a scale beyond a single team’s services.
• You know how to lead an organization that builds secure, privacy-sensitive systems. You can challenge authentication and authorization decisions, ensure threat modeling and sensitive-data handling are addressed up front across teams, and drive security findings through remediation. Experience with PHI/HIPAA or comparable regulated environments is preferred.
• You run engineering with evidence, not anecdotes, at the organizational level. You’ve used delivery, quality, reliability, and team-health signals (cycle time, deployment frequency, change failure rate, escaped defects, MTTR, or operational load) to compare teams fairly, decide where to intervene, and report meaningful progress to leadership.
• You improve the system instead of becoming the system, at a scale beyond one team. You create teams and managers who can make decisions and move independently, remove organizational friction a single EM can’t fix alone, and treat dependency on you as something to eliminate, not evidence of your value.
• You’ve led AI-first engineering in practice, and shaped how other managers do the same. You’ve directed agents on real work, established how engineers delegate and verify meaningful implementation, and helped other managers adapt their teams’ operating model as the bottleneck moved from implementation to specification, review, or decision-making.

Preferred Experience:

• Experience managing other engineering managers
• Experience leading an organization through a similar AI-native transition
• Experience shaping hiring and leveling criteria at the org level

Why Our Client:

• Opportunity to lead multiple teams and the managers within them, with real scope and ownership
• Modernization effort spanning new customer-facing web and mobile experiences and a unified design system
• AI-native engineering culture where agentic development is standard practice
• Close partnership with Product and Design leadership from discovery through delivery
• Opportunity to shape hiring, leveling, and engineering standards at the organizational level
• Fully remote position

Compensation, Benefits and Perks:

• Base salary range: $225,000 — $275,000
• Medical, dental, and vision benefits
• 401(k) with match
• Paid time off
• Employee wellness programs

Applicants must be legally authorized to work in the United States. This position does not offer sponsorship.