Jobs in San Mateo, CA

About the role

As a Senior Software Engineer on Verkada’s Growth Engineering team, you will build products and platforms that directly impact pipeline, revenue, and the effectiveness of our go-to-market teams. A growing focus of the team is applied AI: turning new model capabilities into reliable products that help Sales and Marketing teams access trusted information, make better decisions, and execute complex workflows. You will build across agent workflows, enterprise integrations, evaluation systems, and backend infrastructure, while also contributing to the broader systems that power lead management, attribution, and sales and marketing automation. This role is ideal for an engineer excited to apply advances in AI to real business problems. Success requires strong product and engineering judgment, a willingness to work directly with users, and the ability to turn ambiguous opportunities into reliable production software. This role reports to our Engineering Manager and is based on-site at our headquarters in San Mateo, California, five days a week.

What you'll bring

• 4 or more years of software engineering experience building production backend or full-stack systems.
• Strong proficiency in Python or a similar backend language, with experience designing APIs, services, and data models.
• A track record of independently owning ambiguous projects from problem definition through launch and iteration.
• Strong product judgment and the ability to work effectively with non-technical users and stakeholders.
• Experience building reliable systems that integrate with external APIs, internal platforms, or enterprise software.
• Curiosity about applied AI and a willingness to learn quickly as models, tools, and product patterns evolve.
• A track record of coaching other engineers, raising the team’s technical bar, and leading changes to engineering practices, architecture, or ways of working.
• Experience building production applications using LLMs, tool or function calling, AI agents, or multi-step AI workflows.
• Experience evaluating AI systems through test datasets, regression testing, production feedback, tracing, or behavioral analysis.
• Familiarity with context engineering, retrieval, prompt design, model selection, permissions, guardrails, or human-in-the-loop workflows.
• Experience with AWS, serverless architectures, queues, scheduled workflows, or infrastructure as code.
• Experience with sales, B2B marketing, revenue, CRM, campaign, or other GTM-facing systems.

Benefits