About The Position

Demandbase is looking for a Principal Software Engineer who thrives on solving complex technical challenges and delivering scalable, high-impact systems. We are building the future of B2B go-to-market with AI, and we need a technical leader who owns architecture, guides system design, and builds innovative solutions that drive measurable customer outcomes. This is a high-influence, technical leadership role. You’ll serve as a leader across teams, collaborating closely with Engineering and Product Managers to align execution with strategy and bring cutting-edge AI-powered solutions to life. You will tackle some of the most challenging problems in the industry, such as building an extensible framework that closes the loop between data, insights, and action for B2B marketers. If you get energy from mentoring engineers, driving technical direction across distributed systems, and shipping work that empowers GTM teams to automate growth at scale—we want you.

Requirements

  • 10+ years of professional software engineering experience, with at least 2–3 years in a Staff or Principal Engineer role.
  • Strong architectural and technical leadership in data-heavy, integration-driven, cloud-native platforms.
  • Deep understanding of system design, architectural trade-offs, and performance tuning at scale.
  • Experience building AI agents, agentic workflows, reusable AI capabilities, and MCP servers/clients.
  • Proficient in modern backend languages (Java, Scala, or Python preferred) and SQL.
  • Hands-on experience with data systems like Postgres, Snowflake, Redis/Aerospike, and messaging systems like Kafka or Pulsar.
  • Experience with modern infrastructure, including CI/CD pipelines, Kubernetes, and cloud platforms (AWS, GCP, or Azure).
  • Strong communicator who can bridge technical and business priorities while fostering collaboration.
  • Experience in agile development methodologies like Scrum, Kanban, or SAFe.
  • Passion for mentorship, providing feedback, and helping engineers grow.

Nice To Haves

  • Hands-on experience with CRM and Marketing platforms including Salesforce and Marketo.
  • Experience with data connectivity and identity tools such as LiveRamp.
  • Familiarity with Analytics and Advertising stacks, specifically Google Analytics, Adobe Analytics, Google Ads, and Meta.
  • Deep expertise in orchestration and automation frameworks such as Temporal.

Responsibilities

  • Lead technical direction and architecture across projects involving scalable microservices, distributed systems, and modern data platforms.
  • Lead architecture and implementation of high-impact initiatives such as the Next-Gen Orchestration Engine (NGOE) and MCP Gateway.
  • Integrate generative and agentic AI capabilities into the platform to drive customer outcomes.
  • Partner with Product and Engineering leadership to translate product vision into actionable technical roadmaps.
  • Maintain high standards for quality, security, system resiliency, performance, and operational efficiency.
  • Stay hands-on by participating in technical design reviews, code reviews, architectural planning, and incident retrospectives.
  • Champion modern engineering practices such as continuous delivery, test automation, and cloud-native deployment.
  • Mentor senior and staff engineers and contribute to the growth of engineering leadership within the team.
  • Represent the platform team in broader architectural discussions and technical forums.
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