This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Engineering Manager - REMOTE. This role is critical in leading a dedicated team focused on building and maintaining the data access and visualization layer that drives business intelligence across our platform. You will play a key role in fostering a culture of collaboration and excellence, managing a geographically distributed team, and ensuring that innovative data products are reliably delivered. Your leadership will not only impact team growth but also enhance the user experience across various data solutions. This is the perfect opportunity for someone passionate about technology and eager to drive results in a fast-paced environment.
Accountabilities
- Lead, coach, and grow a geographically distributed team of software and data engineers
- Drive execution through Agile/Scrum practices; ensure consistent delivery, retrospectives, and sprint planning
- Define and track engineering effectiveness using metrics (e.g., sprint predictability, incident rates, code quality, deployment frequency)
- Own end-to-end delivery of features and improvements for reporting, visualization, and dashboard infrastructure
- Guide technical design, implementation, and operational excellence, including modernizing the KPI and reporting framework
- Partner closely with Product, Data Platform, and other engineering teams to align on roadmap and dependencies
- Champion best practices in software development, data modeling, testing, and CI/CD pipelines
- Ensure high availability, responsiveness, and performance for near-real-time reporting services
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or a related technical field (Master's or higher degree preferred)
- Expert-level knowledge of Microsoft .NET technology stack (C# / .NET, ASP.NET MVC, Web APIs) and SQL databases or Java
- 6+ years of experience as a software developer working with distributed and microservice architectures in a SaaS environment
- 3+ years of experience managing high-performing engineering teams, including remote or distributed teams
- Proven leadership in driving the Scrum process with strong coaching abilities
- Demonstrated ability to use engineering KPIs to measure and improve team performance
- Strong technical background in data engineering, analytics platforms, or full-stack systems delivering reporting and BI solutions
- Hands-on experience with modern data stack components such as Snowflake, DBT, Looker, or MetricFlow
- Solid understanding of SQL optimization, KPI computation, and data visualization best practices
- Excellent written and verbal communication skills; able to bridge technical and non-technical audiences
- Experience working across time zones and cultures
- Experience migrating legacy reporting systems to modern, scalable data stacks
- Familiarity with metadata-driven KPI definition and dynamic SQL generation
- Background in enterprise SaaS or multi-tenant architecture
- Understanding of shift-left testing principles and early test automation within the SDLC
- Exposure to Generative AI technologies to enhance customer experience
Benefits
- Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities
- Holistic health and wellness benefits: Company-paid medical, dental, and vision with 100% employer-paid options
- Support for Titans at all stages of life: Parental leave, fertility services, surrogacy and adoption reimbursement
- Comprehensive onboarding program and leadership training for all levels
- Competitive compensation package including annual bonus and equity
- Encouraging work culture celebrating individuality and unique perspectives
Why Apply Through Jobgether?
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.