Engineering Manager

We are looking for an Engineering Manager to lead high-performing product engineering teams at Synapse Analytics.

This role is responsible for building and managing engineers improving execution quality partnering with Product and Delivery and ensuring that product squads deliver reliable scalable and reusable software.

The Engineering Manager is not only a people leader but also an operating leader: someone who can create clarity improve delivery discipline coach engineers manage priorities and protect product teams from unplanned work while still supporting customer outcomes.

You will work closely with Product Managers Tech Leads DevOps Delivery/Professional Services QA/QE and executive leadership.

• Create a healthy engineering culture based on ownership accountability learning and high standards.

• Run regular 1:1s feedback cycles performance reviews and growth conversations.

• Help engineers progress through Synapses career levels and promotion paths.

• Own engineering execution for assigned product squad(s) ensuring roadmap commitments are delivered predictably.

• Improve sprint planning estimation prioritization and delivery visibility.

• Ensure teams balance product roadmap work technical debt quality and operational needs.

• Remove blockers and escalate cross-team dependencies early.

• Raise engineering standards for code quality architecture testing maintainability and reliability.

• Work with Tech Leads and senior engineers to improve system design and technical decision-making.

• Ensure squads follow agreed engineering practices review processes and release standards.

• Partner with QA/QE to improve release confidence regression coverage and defect prevention.

• Work closely with Product Managers / Product Owners to align technical execution with product outcomes.

• Support customer escalations through the right escalation path without allowing ad hoc delivery work to consume roadmap capacity.

• Help define hiring needs for product engineering teams.

• Interview and evaluate engineering candidates.

• Contribute to engineering career paths leveling calibration and performance expectations.

• 7 years of software engineering experience.

• Strong background in building and operating production software systems.

• Experience leading backend frontend full-stack ML or platform engineering teams.

• Strong understanding of agile/scrum delivery roadmap planning estimation and engineering execution.

• Proven ability to coach engineers and manage performance with clarity and empathy.

• Ability to partner effectively with Product QA Delivery DevOps and business stakeholders.

• Strong communication skills and ability to create clarity in ambiguous environments.

• Comfortable working in a fast-growing company where structure is being built while the business scales.

• Experience in B2B SaaS fintech AI/ML products enterprise software or regulated industries.

• Experience working with cloud and/or on-prem enterprise deployments.

• Experience supporting products that require customer-specific integrations.

• Familiarity with DevOps CI/CD observability incident management or SRE practices.

• Experience scaling engineering teams from startup stage to more structured growth stage.

• Experience with AI machine learning data platforms OCR decisioning systems or financial services technology.

• Prior experience building career ladders promotion frameworks or engineering operating models.