Engineering Lead, GenAI Platform

Company Overview:



Cellebrite’s (Nasdaq: CLBT) mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. Cellebrite’s AI-powered Digital Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on Cellebrite’s digital forensic and investigative solutions—available via cloud, on-premises and hybrid deployments—to close cases faster and safeguard communities. To learn more, visit us at www.cellebrite.com, https://investors.cellebrite.com/investors and find us on social media @Cellebrite.

Position Overview:



We are building a cutting-edge GenAI-powered SaaS platform that enables investigators to interact with complex case data through a conversational interface. The system leverages LLMs, RAG architectures, and agentic workflows in a rapidly evolving environment.

As we scale, we are looking for a hands-on R&D Manager, reporting to the VP R&D, to take ownership of day-to-day execution, team delivery, and production stability - enabling the team to move fast while freeing leadership to focus on new innovation and strategic initiatives.

This is not a traditional management role. You will operate as a player-coach, staying close to the technology while leading a small, high-impact team.

Key Responsibilities

• Lead the day-to-day execution of the development team (planning, prioritization, delivery)
• Work closely with Product, DevOps, and Customer Success to ensure smooth delivery of features and fixes
• Own production stability and ongoing support processes (triage, prioritization, resolution tracking)
• Manage and mentor engineers while maintaining a flat, startup-like culture
• Drive high engineering standards across code quality, testing, and system reliability
• Stay hands-on with the system architecture, especially around GenAI pipelines, RAG, and agentic flows
• Remove blockers and ensure the team can execute quickly in a fast-changing environment
• Balance short-term delivery needs with longer-term technical health
• Improve development processes without introducing unnecessary overhead
  
  

• A builder-leader who leads by doing, not by delegating
• Someone who can own execution without adding bureaucracy
• Strong sense of ownership and accountability
• Comfortable operating in ambiguity and rapid change
• Excellent communication and collaboration skills
  
  

• Work on a real-world GenAI product with meaningful impact
• Be part of a small, elite team pushing the boundaries of AI in production
• Direct influence on product, architecture, and engineering culture
• Opportunity to operate at the intersection of execution and innovation
  
  

• 10+ years of experience in software engineering, with strong backend/full-stack background
• 3+ years of experience in a technical leadership or team lead / hands-on manager role
• Proven experience delivering production SaaS applications
• Hands-on experience with GenAI / LLM-based systems (RAG, Agentic workflows, or similar)
• Strong system design skills for scalable, distributed systems
• Experience working in cloud environments (GCP preferred)
• Ability to stay hands-on technically while leading a team
• Strong problem-solving and execution skills
  
  

• Experience with agentic frameworks or multi-step AI workflows
• Background in fast-scaling startups or innovation teams
• Experience working with data-intensive systems (e.g., BigQuery)
• Familiarity with DevOps / production environments
• Experience working in high-trust / sensitive data domains