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Engineering Manager
Company | Summation |
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Location | Bellevue, WA, USA |
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Salary | $200000 – $220000 |
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Type | Full-Time |
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Degrees | Bachelor’s |
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Experience Level | Senior, Expert or higher |
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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.