Staff Software Engineer

Demandbase is the only pipeline AI platform that empowers GTM teams to automate growth at scale. As a Staff Software Engineer, you will help architect and deliver AI-native platforms and play a key technical leadership role in evolving the company's systems towards more autonomous, agent-driven capabilities powered by generative AI.

Responsibilities:

• Design and build scalable, cloud-native microservices that support LLM-powered experiences, agentic workflows, and real-time AI data synthesis
• Contribute to the technical roadmap for AI-native systems aligned with the company’s AI-first product strategy
• Build and operate production-grade AI/ML systems, including RAG (Retrieval-Augmented Generation) pipelines and vector search architectures
• Partner on architectural planning for AI agents, inference optimization, and scaling AI workloads (latency, reliability, and cost efficiency)
• Establish and follow best practices for observability, resiliency, and cloud-native deployments in systems that include non-deterministic AI behavior
• Improve CI/CD automation and developer workflows, including practical use of AI-assisted engineering tools
• Translate AI-first product direction into production-ready technical plans and platform decisions
• Partner with Product and Engineering leaders to connect AI platform work to measurable outcomes
• Lead and contribute to cross-team initiatives that span multiple engineering domains and platform layers
• Help set engineering standards for modern AI system design, balancing experimentation speed with operational discipline
• Stay current on emerging AI approaches and help the team apply what’s useful in a pragmatic, scalable way
• Collaborate with other Staff engineers across teams to integrate AI capabilities across the platform
• Provide guidance through design reviews, system-level discussions, and technical forums
• Mentor engineers on AI-native system design, distributed architectures, and scaling AI-heavy workloads
• Contribute to documentation, architectural standards, and internal knowledge sharing
• Help build a culture that values fast learning, high quality, and practical AI innovation

Requirements:

• 8+ years of professional software engineering experience, with 2+ years operating in a Staff-level (or equivalent) capacity
• Proven track record shipping complex systems beyond basic CRUD applications
• Strong expertise in distributed systems, system design, and performance optimization
• Hands-on experience building or deploying production AI/ML features using LLMs, agentic frameworks, or similar technologies
• Strong proficiency in Java, Scala, or Python
• Experience with Kubernetes, container orchestration, and cloud platforms (AWS, GCP, or Azure)
• Experience with vector search / vector databases (for example Pinecone, Milvus, Weaviate) and AI infrastructure at scale
• Strong understanding of CI/CD automation and AI-augmented development workflows
• Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience
• Strong communication skills and the ability to influence technical and non-technical partners