Backend Team Lead (Python) - Data
SplitMetrics · Full-time · Posted 1w ago
SplitMetrics is a global software company offering an ecosystem of products and services that serve as a growth engine for top mobile-first businesses worldwide. Our ecosystem includes:
SplitMetrics Acquire, a platform for automating and optimizing Apple Ads.
SplitMetrics Agency, a full-service mobile marketing agency staffed by top experts.
SplitMetrics Optimize, an A/B testing platform recognized as the ASO Tool of the Year.
App Radar by SplitMetrics: an ASO platform with advanced keyword and competitor insights.
For over 11 years, we’ve been at the forefront of the mobile marketing industry, building an ecosystem of market-leading technologies.
An Apple Ads Partner, SplitMetrics is the 1st company to build the Apple Ads management platform.
Working with top mobile companies and brands globally: Skyscanner, Glovo, Flo, Babbel, Wooga and many more.
Generating an impressive transaction volume, with over $1 billion in ad spend flowing through our ecosystem.
Integrated AI into our strategic approach since 2023.
Effectively collaborate across 20+ countries with a remote-first and supportive culture.
We're looking for a Team Lead (Python) who’ll join SplitMetrics engineering team.
What you will do:
Take full ownership of planning and delivering technical roadmap items.
Lead the backend, full stack and QA engineers in the team, organize day-to-day work and ensure predictable delivery. Improve estimations accuracy and reduce delays.
Plan work for the next quarter and contribute to high-level multi-quarter planning together with Director of Data & AI and Product Manager.
Maintain and regularly review current technical risks registry. Manage risks early.
Optimize data gathering processes, data pipelines, performance, and system reliability.
Drive modernization of legacy services, architecture improvements and technical debt reduction.
Collaborate with product managers, solution architects and other teams on priorities and alignment.
Ensure proper documentation, visibility and knowledge sharing inside the team.
About you:
6+ years of Python experience including high-performance data systems, e.g. StarRocks.
2+ years in a role with technical leadership responsibilities (team leader, tech lead, etc.)
Experience with planning, estimation and delivering complex projects, e.g. database migration.
Deep familiarity with data lakehouse architectures.
Experience with data gathering / data scraping.
Strong understanding of performance optimization and scalability principles.
Confident in owning decisions with business impact.
Able to work under high delivery pressure and manage trade-offs.
B1+ English level.
Time Off: Vacation and public holidays following your country's regulations. Additional PTOs annually for personal rejuvenation.
Health and Wellness: Medical insurance or health care compensation. Paid sick leave to prioritize your well-being.
Professional Development: Top online/offline conferences and mobile industry events. Internal courses for continuous professional development.
Performance and Growth: Micro-management-free and supportive management style. Semi-annual performance review sessions. New career opportunities through our internal mobility program.
Team Engagement: Corporate online events and offline team retreats. Collaboration between teams through shared OKRs. Environment conducive to open dialogue and constructive feedback.
Work Flexibility: Flexible working schedule for a better work-life balance. Remote-first working environment.
Workspace Options: Coworking costs coverage program. Office hubs in key locations for a convenient and productive work environment.
At SplitMetrics, our values are not just words — they guide everything we do. To achieve our ambitious goals and maintain success, we stand united by our core behaviors:
Move Fast
Get Sh*t Done
Build Together
Strive for Transparency
Own What You Do
Learn + Share = Excel
Remote Hiring Guidelines: At SplitMetrics, we welcome team members from various countries. While all our roles are remote, certain positions may have specific eligibility requirements based on location. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
New Zealand