Engineering Manager, Wikidata Platform

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Engineering Manager, Wikidata Platform in Israel.

This role offers the opportunity to lead a globally distributed engineering team responsible for powering a large-scale structured data platform used by millions worldwide. As Engineering Manager, you will oversee the development and maintenance of a high-performance query infrastructure, collaborating closely with product, data, and site reliability teams. You’ll balance technical strategy with people leadership, guiding engineers through complex platform initiatives and cross-team projects. The position emphasizes both operational excellence and innovation, with a focus on scalable, sustainable systems. Operating in a remote-first environment, you will shape team culture, drive delivery outcomes, and ensure platform services meet the needs of diverse communities globally.

Accountabilities

• Lead, mentor, and grow a distributed engineering team focused on large-scale query services and platform infrastructure.
• Oversee the planning, execution, and delivery of high-quality software, including system migrations and platform enhancements.
• Develop and implement long-term engineering strategies for platform reliability, performance, and scalability.
• Collaborate cross-functionally with product, SRE, and data teams to align on priorities, roadmaps, and dependencies.
• Ensure operational excellence, including incident management, monitoring, and lifecycle maintenance.
• Foster an inclusive, collaborative, and psychologically safe team culture, supporting professional development and sustainable work practices.
• Communicate technical plans, risks, and progress clearly to leadership, stakeholders, and external collaborators.
  
  

Requirements

• 5+ years of experience managing engineering teams building API-driven or platform-level data services.
• Proven track record delivering large-scale, high-throughput systems with strong operational practices (monitoring, incident response, runbooks).
• Experience guiding software systems through full lifecycle management.
• Strong people management skills, including hiring, mentoring, and performance evaluation.
• Ability to influence cross-functional teams in distributed, remote-first environments.
• Technical understanding of data-intensive applications and privacy-sensitive data.
• Exceptional written and verbal communication skills, especially in asynchronous collaboration.
• Experience with knowledge graphs, RDF/SPARQL, or open data initiatives is a plus.
• Comfort with ambiguity, complex problem-solving, and pragmatic, long-term thinking.
  
  

Benefits

• Competitive, equitable salary with adjustments for location and experience.
• Fully remote, globally distributed work with occasional travel.
• Inclusive and supportive engineering culture emphasizing learning, collaboration, and career growth.
• Flexible work hours accommodating multiple time zones.
• Access to training, mentorship, and professional development opportunities.
• Health benefits and other country-specific perks for eligible employees.
  
  

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!

Why Apply Through Jobgether?

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.

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.