Senior Backend Engineer, Growth

Verkada · San Mateo, CA United States

Location
San Mateo, CA United States
Salary
$220,000 - $240,000 USD
Funding
N/A
Posted
Sep 25, 2024

Verkada is hiring a Senior Backend Engineer, Growth based in San Mateo, CA United States. Every apply link on Engg.space goes straight to the company's own careers page - no recruiter middleman, no generic job-board form.

Apply directly at Verkada

Role details

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. 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 Do Build applied AI products and backend systems that directly impact pipeline, revenue, and the effectiveness of Verkada’s go-to-market teams. Turn emerging AI capabilities into reliable product experiences, including agent workflows, tools, integrations, evaluation systems, and guardrails. Work directly with Sales, Marketing, and Operations stakeholders to identify high-value opportunities and translate ambiguous problems into shippable software. Design and operate APIs, services, workflows, and data pipelines that power lead management, attribution, automation, and other critical growth systems. Own projects from prototype through production, balancing speed with reliability, security, observability, and maintainability. Help shape the team’s technical direction and establish reusable patterns across applied AI and growth engineering. What You 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. Nice to Have 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. Employee Benefits Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to: Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans Nationwide medical, vision and dental coverage Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options Expanded mental health support Paid parental leave policy & fertility benefits Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time Professional development stipend Wellness/fitness benefits Healthy lunches provided daily Commuter benefits Additional Information You must be independently authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment visa for this role, at this time. Annual Pay Range At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work lo

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