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Salary: USD 180,000 - 200,000 / annual
Sportradar's Sports Media Team builds platforms and products that collect, curate, distribute, analyze, and personalize sports data and content. The company holds exclusive data rights with top leagues including MLB, NBA, NHL, and NASCAR, delivering the fastest and most accurate live game data on the market. APIs power products from Apple, Google, Amazon, and thousands of other customers globally. Analytics products and broadcast solutions deliver stats and storylines seen by millions of fans.
You will lead a team of talented engineers building enterprise-grade, high-uptime sports analytics and broadcast tooling. This role balances people leadership with deep technical engagement. You will manage and grow your team while remaining hands-on enough to shape architecture, guide technical decisions, and maintain the high standards of data accuracy and software quality that enterprise customers depend on.
Key responsibilities include:
**People Leadership & Team Development:**
- Manage a team of software engineers with consistent 1:1s, team retros, clear performance feedback, and genuine investment in career growth
- Set clear expectations, document goals, conduct performance reviews, and connect individual aspirations with team and product backlogs
- Mentor engineers at all levels, helping them grow technically and professionally
- Foster engineering culture built on collaboration, ownership, and continuous improvement
- Empower engineers to be creative problem-solvers while maintaining high standards of quality, reliability, and uptime
**Technical Leadership & Architecture:**
- Provide hands-on architectural direction across team systems, facilitating decisions around system design, data modeling, and service boundaries
- Drive reduction of technical debt by identifying systemic risks and prioritizing remediation efforts
- Participate meaningfully in design reviews, merge request reviews, and technical discussions
- Advocate for engineering best practices including reliability, observability, security, performance, and maintainability at scale
- Ensure systems meet uptime and data accuracy standards expected by enterprise customers
- Lead post-mortems and drive incident follow-through
- Leverage agentic development tools to increase engineering velocity while maintaining quality and architectural consistency
**Product Collaboration & Delivery:**
- Partner closely with Product teams to translate business goals into well-scoped engineering initiatives
- Organize and maintain delivery swim lanes providing engineers with clear priorities and focused work
- Own team-level delivery commitments, forecast accurately, communicate risks early, and consistently deliver high-quality software
- Balance feature development, platform investment, and technical debt while making trade-offs transparent
- Participate in cross-functional planning with Product, Design, DevOps, and Architecture teams
**Requirements:**
*Engineering Management:*
- 3+ years of engineering management experience, including direct line management of software engineers
- Proven track record of growing engineers through coaching, performance management, and career development
- Experience partnering with Product Managers to manage backlogs, facilitate sprint planning, and deliver commitments in Agile environments
- Comfortable navigating performance discussions directly and constructively
*Technical Depth:*
- 6+ years of professional software engineering experience with sufficient hands-on depth to engage credibly on architecture and code quality
- Experience designing and operating data-driven, high-uptime production systems, including microservices, RESTful APIs, and event-driven architectures
- Proficiency with SQL and NoSQL databases
- Experience working with high-throughput, low-latency production systems
- Strong understanding of CI/CD practices, software development workflows, and AWS cloud infrastructure
*Nice to Have:*
- Working with sports data or real-time data products
- Experience in enterprise SaaS environments with understanding of uptime, data accuracy, and SLA commitments
- Experience with serverless technologies including AWS Lambda, SQS, and Step Functions
