Staff Software Engineer, Backend
As a Product Backend Engineer, you will design and operate backend systems that enable AI capabilities to provide dependable product experiences. Responsibilities include collaborating closely with Product to prioritize customer-focused work and deliver reliable features quickly, designing and owning backend services and APIs for web applications, workflows, and integrations, modeling and managing data in Postgres and related data stores, building secure, multi-tenant, permissions-aware systems with appropriate auditing, implementing backend features using LLMs and agentic tools, collaborating with frontend, product, and design teams to define API contracts and ship features end-to-end, adding logging, metrics, and tracing for service observability and on-call readiness, improving performance and scalability by profiling and tuning, and participating in code reviews, technical design discussions, and an on-call rotation for the services you own.
Senior Software Engineer, Backend
As a Product Backend Engineer, design and operate backend systems that enable AI capabilities to deliver seamless and dependable product experiences. Build secure, multi-tenant services, orchestrate interactions with large language models (LLMs) and agentic tools, and define backend architecture for expanding product offerings. Collaborate with Product to prioritize customer-focused work and deliver reliable features quickly. Design and own backend services and APIs supporting web applications, workflows, and integrations. Model and manage data in Postgres and related data stores to ensure low-latency and reliable user experiences. Build permissions-aware systems with appropriate auditing for enterprise and government customers. Implement backend features that interact with AI systems via robust, well-structured services. Collaborate with frontend, product, and design partners for solution design, API contract definition, and end-to-end feature delivery. Add logging, metrics, and tracing for service observability and on-call readiness. Improve performance and scalability by profiling, tuning, and refining service boundaries. Participate in code reviews, technical design discussions, and an on-call rotation for owned services.
Security engineer, detection and response (US)
Design and implement detection strategies that identify AI-specific threats including prompt injection, model extraction, data poisoning, adversarial examples, and unauthorized access across distributed infrastructure; build automated response playbooks and orchestration workflows to contain threats without human intervention and remediate compromised inference endpoints; lead security incident response coordination across teams when AI infrastructure or models are compromised, conducting forensic investigations and drafting incident communications; proactively hunt for sophisticated threats across GPU clusters and training infrastructure by analyzing model outputs and reproducing AI-specific vulnerabilities; build detection-as-code frameworks with version control, onboard telemetry from AI training infrastructure and inference endpoints, and create dashboards tracking security metrics; collaborate cross-functionally translating AI Security threat research into production detections and monitoring cloud infrastructure for threats; maintain 24/7 on-call rotation for critical AI security incidents, responding to real-time threats while improving detection coverage and automation as AI systems evolve.
Senior software engineer, enterprise AI platform (UK)
Act as a whole-systems thinker by making meaningful system design decisions and owning the architecture of core platform components from initial design through production deployment. Develop secure generative AI services and applications using Python and modern frameworks to drive enterprise-wide transformation. Build and optimize high-performance and low-latency APIs and microservices for integrating advanced AI models and agentic workflows into the enterprise platform. Drive proactivity without red tape by clearly communicating changes, plans, and proposals to cross-functional teams without waiting for approval. Bridge the gap between backend services, infrastructure, and operations to ensure seamless deployments and scalable architecture.
AI/ML Engineer, Rome
Develop, train, and optimize machine learning models for various mobile app features. Research and implement state-of-the-art AI techniques to improve user engagement and app performance. Collaborate with cross-functional teams to integrate AI-driven solutions into applications. Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring. Analyze large datasets to derive insights and drive data-driven decision-making. Stay updated with the latest AI trends and best practices, incorporating them into development processes. Optimize AI models for mobile environments to ensure high performance and low latency.
AI/ML Engineer, Berlin
Develop, train, and optimize machine learning models for various mobile app features. Research and implement state-of-the-art AI techniques to improve user engagement and app performance. Collaborate with cross-functional teams to integrate AI-driven solutions into the applications. Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring. Analyze large datasets to derive insights and drive data-driven decision-making. Stay updated with the latest AI trends and best practices, incorporating them into development processes. Optimize AI models for mobile environments to ensure high performance and low latency.
Director, Revenue Transformation
The Director of Revenue Transformation is responsible for owning Gong's internal AI operating model within the IT organization, including defining the internal AI roadmap by partnering with Security, Legal, and business leaders. They operate the enterprise AI stack, enforce consistent standards for tool usage and management, and manage the full AI model lifecycle from evaluation to deprecation. They proactively interview internal teams to identify manual workflows suitable for automation using agentic AI and independently build and deploy proofs of concept to demonstrate ROI before scaling. Additionally, they manage financial aspects such as token procurement and cost forecasting to prevent uncontrolled spend, build dashboards to monitor service levels, usage, cost, and error rates, and identify optimization opportunities for cost-saving and performance tuning.
Senior Machine Learning Engineer
As a Senior Machine Learning Engineer, responsibilities include leading technical scoping and architectural decisions for high-impact machine learning systems, designing and building production-grade ML software, tools, and scalable infrastructure, defining and implementing best practices and standards for deploying machine learning at scale across the business, collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities, acting as a trusted technical advisor to customers and partners by translating complex concepts into actionable strategies, and mentoring and developing junior engineers while actively shaping the team's engineering culture and technical depth.
Director, Engineering, Proactive Offense
Lead and scale Horizon3.ai's Offensive Engineering organization, overseeing teams responsible for exploit development, offensive content, and attack automation within the NodeZero platform. Set clear technical and product direction for how NodeZero identifies, exploits, and validates vulnerabilities across large, complex environments. Partner with Product, Precision Defense, and Platform teams to define and deliver offensive capabilities that influence the roadmap and enhance customer outcomes. Drive execution from proof-of-concept through production to transform cutting-edge attack research into scalable, productized features. Stay hands-on to guide architectural decisions and evaluate exploit and automation approaches, mentoring technical leads in building resilient, modular systems. Build, mentor, and scale diverse teams of software engineers, exploit developers, and offensive researchers, fostering a culture of collaboration, creativity, and engineering excellence that bridges offensive and product software development. Collaborate across engineering, product, and GTM teams to align offensive innovation with business priorities and ensure delivery of impactful capabilities for customers. This role is central to the mission of delivering continuous, autonomous security testing at scale.
Agentic Solution Engineer
Partner with Account Executives to discover and scope customer challenges, designing high-value technical solutions that showcase the ROI of Netomi’s platform. Architect and build agentic workflows that integrate generative AI with APIs, databases, and enterprise tools to power experiences for customers' end users. Develop custom demonstrations, prototypes, and proofs of concept using the Netomi platform tailored to specific clients' use cases. Design, test, and refine prompts and AI orchestration chains to optimize performance, reasoning, and reliability across varied use cases. Communicate complex technical concepts clearly and persuasively to audiences ranging from C-level executives to hands-on engineers. Collaborate with product and engineering teams, contributing insights from customer engagements to inform roadmap priorities. Document and present solution designs, workflows, and technical configurations for both internal and client-facing reference.
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