3 hours ago
Tel Aviv-Yafo, IsraelStaff+
Responsibilities
- Define the reference architecture and cross-system contracts for the Revenue Harness agentic framework.
- Design and build agent orchestration, planning and reasoning loops, multi-step execution, multi-agent coordination, tools, integrations, context, memory, and model routing.
- Contribute directly to system design and code while embedding with teams across domains.
- Establish evaluation methodology, regression gates, production monitoring, guardrails, permissions, and reliability standards for non-deterministic systems.
- Design high-concurrency stateful and stateless agent runtimes with lifecycle management, isolated workers, task queues, distributed state persistence, and cloud-native deployment.
- Mentor engineers, raise design and engineering standards, and lead through influence across multiple teams.
- Drive adoption of coding agents, AI code review, and agentic development workflows.
Requirements
- 10+ years of backend development experience with strong Java expertise and modern frameworks such as Spring Boot.
- Proven Staff- or Principal-level impact across multiple teams and the ability to lead through influence rather than authority.
- Hands-on experience shipping production LLM applications such as agents, tool calling, RAG, or structured generation, including understanding of their failure modes.
- Deep expertise designing large-scale distributed systems, including asynchronous, event-driven, and streaming architectures.
- Ability to work across unfamiliar codebases, switch context across teams, identify high-impact opportunities, and communicate complex ideas clearly.
- Experience mentoring engineers and driving adoption of AI-assisted development.
- Preferred experience with MCP, Spring AI, LangChain, LangGraph, or equivalent agent frameworks and protocols.
- Preferred experience with LLM evaluation, observability, multi-provider routing, vector databases, Elasticsearch, OpenSearch, or knowledge graphs.
- Familiarity with prompt injection, data leakage, agent permission models, and other AI security concerns.
- Working knowledge of Python alongside a JVM stack and experience in B2B SaaS, CRM, or revenue technology are preferred.
Benefits
- Flexible hybrid work model combining work from home, on the go, and in-office work.
- Ownership, autonomy, mentorship, and opportunities to influence products and engineering standards.
Tech Stack
Categories
About Gong.io
Gong builds a revenue intelligence platform that captures and analyzes customer interactions (calls, emails, meetings) to deliver insights, coaching, and forecasting for sales and customer-success teams. It sells its software by subscription to businesses and integrates with common CRM and collaboration tools; more than 5,000 companies use it. Founded in 2015 and headquartered in San Francisco, Gong is a privately held company.