Engineering Manager

Role Summary

Our mission is to build a different kind of technology consulting firm—one focused on doing, showing, and building more than talking. As an Engineering Manager, you will lead our talented engineering team and work closely with leadership to bridge the gap between technical strategy and day-to-day execution.

At SZNS, the bar is high. A successful engineering manager should exude the three tenets:

• Customer obsession: A no-nonsense, fast, and flexible approach where solving the customer's problem always comes first
• Calm and consistent under pressure: with the strong judgment required to balance delivery speed against architectural quality
• Attentive results: A focus on delivering results through hard work and high quality, recognizing that attention to detail is what separates "great" from "good"

Key Responsibilities

Engineering delivery:

• Own day-to-day engineering delivery across multiple strategic client engagements and internal platform initiatives, ensuring that tasks are clear, prioritized, and progressing

Lead, mentor, and grow teams:

• Building a culture of ownership, craft, and continuous improvement while increasing team autonomy, efficiency, and effectiveness

Collaborate closely with product and technical leadership to break down, scope, and plan complex technical projects across our AI, GCP, and Web3 domains

Identify and maintain high standards:

• Ensure excellent code quality, system performance, and maintainability by establishing best practices and guiding architectural decisions

Proactively identify risks and escalate them early, improving team processes so that our delivery becomes faster and more predictable

Requirements

• Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
• 5+ years of software engineering experience with prior experience formally leading developers, managing teams, or owning end-to-end technical delivery
• Strong foundation in system design, cloud architecture (preferably GCP), and backend engineering
• Demonstrated experience building and shipping production-quality code in ambiguous, fast-paced environments
• Active daily use of AI-enabled coding tools (e.g., Cursor, GitHub Copilot, or Claude Code) to accelerate development workflows and increase throughput
• Active Google Cloud certifications, or willingness to obtain within one month of joining
• Curiosity, experimentation with latest technologies, and bias for action
• Preferred Qualifications:
• Experience scaling engineering teams in high-growth startups or professional services companies
• Background in managing teams working on AI/ML pipelines, LLM tooling, or Web3/blockchain integrations
• Experience improving messy or low-process environments and establishing agile delivery cycles

Benefits

• Competitive salary and benefits package
• Hybrid work environment (MWF in-person in our Reston office)
• A collaborative and innovative work environment
• Continuous learning and development opportunities