About Jobgether:

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.One of our companies is currently looking for a Staff Software Engineer, Product Search and Ranking in United States.

This role is a unique opportunity for an experienced engineer to lead the design and scaling of a high-performance product search and ranking system. You will work on a service processing hundreds of millions of product items, playing a critical role in enhancing user experience through intelligent search, product matching, and personalized ranking.

This position requires deep technical expertise in distributed systems, search technologies, and AI/ML, as well as a strong ability to mentor, innovate, and drive complex projects from concept to execution. You’ll collaborate cross-functionally with engineering, product, and leadership teams to build scalable and resilient systems.

Accountabilities:

• Architect and lead the development of a scalable product search and ranking system supporting billions of product listings
• Design and implement high-performance data pipelines, leveraging Golang, Python, and vector databases
• Optimize product discovery using AI-driven methods including embeddings, LLMs, and recommendation engines
• Drive system reliability and scalability, with a focus on performance, fault tolerance, and efficient resource use
• Collaborate with internal teams to ensure seamless integration across catalog, search, and personalization services
• Establish engineering best practices, mentor peers, and contribute to strategic technical direction

Requirements

• 7+ years of experience in distributed systems, software architecture, or backend engineering
• Strong command of Golang, Python, and experience with search, recommendation, or ranking systems
• Proven experience building scalable infrastructure and data systems across high-growth environments
• Understanding of AI/ML frameworks and experience in fine-tuning or deploying LLMs or recommendation models
• Excellent communication and leadership skills, with a track record of mentoring teams and leading technical initiatives
• Familiarity with cloud platforms (AWS, GCP, or Azure), containerization (Docker), and orchestration tools (Kubernetes)
• Degree in Computer Science or related field preferred; equivalent experience considered

Benefits

• Remote-first work environment built around flexibility and productivity
• Competitive compensation package with performance-based bonuses
• 401(k) plan with company matching
• Comprehensive health, dental, and vision insurance
• Paid maternity and paternity leave
• Flexible paid time off and Summer Fridays
• Opportunity to work on cutting-edge technologies in a high-impact, fast-moving company

 

Jobgether Hiring Process Disclaimer

This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.

Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.

Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.

If you are among the top 5 candidates, you will be notified within 7 days. If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.Thank you for your interest! #LI-CL1