Staff Backend Product Software Engineer, Core Intelligence & Media

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Backend Product Software Engineer, Core Intelligence & Media in United States.

This role offers the opportunity to tackle complex, high-impact engineering challenges at the intersection of product, technology, and business outcomes. You will lead and mentor a sizable team of engineers while influencing architectural and technical decisions that shape large-scale, consumer-facing systems. The ideal candidate thrives in ambiguous environments, enjoys hands-on coding, and can turn evolving product needs into clear, scalable solutions. This position allows you to contribute to foundational systems, collaborate across teams to remove technical silos, and drive innovation in media, search, and AI-powered services. Your work will directly impact millions of users while helping to define the technical roadmap for future capabilities.

Accountabilities

• Lead the technical delivery of a team of 15–20 engineers to achieve high-impact customer and business outcomes.
• Shape technical direction and partner with Product Management as the direct responsible individual (DRI) for key company-wide initiatives.
• Tackle complex, ambiguous problems and design solutions that create scalable, long-term impact.
• Develop and maintain foundational system components, coding hands-on in critical parts of the product.
• Influence technical roadmaps across teams, promoting alignment and breaking down silos.
• Architect systems that support new product capabilities and operate reliably at large scale.
• Set and uphold high engineering standards, mentoring peers, and fostering excellence in a virtual-first environment.

Requirements

• BS, MS, or PhD in Computer Science, related technical field, or equivalent practical experience.
• 12+ years of experience in software engineering, with proven success in consumer user-facing products.
• Expertise across multiple domains, including at least three of the following: search, media systems engineering, performance engineering, modern ML, LLM-based APIs, or agentic frameworks.
• Strong hands-on coding skills and experience building scalable, high-performance systems.
• Experience leading cross-functional teams and influencing technical strategy at the org level.
• Excellent communication, documentation, and collaboration skills in large, distributed teams.
• Preferred: experience using AI tools for technical design, prototyping, and production coding.

Benefits

• Competitive salary: $198,600 – $335,800 USD depending on location and experience.
• Flexible, remote-first work environment with opportunities for collaboration.
• Exposure to cutting-edge AI, ML, and media systems technologies.
• Professional growth through mentoring, cross-org influence, and leadership of complex engineering projects.
• Comprehensive health, life, and disability insurance plans.
• Opportunities to work on systems impacting millions of users globally.
• Collaborative, innovative, and inclusive engineering culture.

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.