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Engineering Manager

Engineering Manager

CompanySummation
LocationBellevue, WA, USA
Salary$200000 – $220000
TypeFull-Time
DegreesBachelor’s
Experience LevelSenior, Expert or higher

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field.
  • 7+ years of software engineering experience, with at least 2+ years in a leadership or management role overseeing technical teams.
  • Proven experience building data- and analytics-heavy products, with a strong understanding of data modeling, enterprise software, and scalable system design.
  • Familiarity with AI or machine learning technologies and their application in product development is a plus.
  • Exceptional problem-solving skills and the ability to balance technical trade-offs with business priorities.
  • Strong leadership and communication skills, with a track record of mentoring engineers and collaborating effectively with cross-functional teams.
  • Experience thriving in a fast-paced, dynamic environment, with a proactive approach to ownership and delivery.

Responsibilities

  • Guide the architectural vision and technical roadmap for Summation’s platform, ensuring scalability, reliability, and performance while leveraging data- and AI-driven technologies.
  • Lead, mentor, and grow a high-performing engineering team, fostering a culture of collaboration, innovation, and accountability. Set clear goals and provide regular feedback to drive individual and team success.
  • Drive engineering best practices, including code quality, system reliability, and performance optimization, while balancing innovation with operational stability.
  • Work hand-in-hand with product managers and design team to align technical efforts with the product vision, and collaborate with applied science and customer deployment teams to integrate cutting-edge solutions into the platform.
  • Champion the needs of customers by ensuring the engineering organization delivers solutions that are intuitive, reliable, and transformative for business planning and analytics.

Preferred Qualifications

  • Familiarity with AI or machine learning technologies and their application in product development is a plus.