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Senior Software Engineer, Revenue Informatics

Verkada

Verkada

Software Engineering
San Mateo, CA, USA
Posted on Wednesday, June 12, 2024

Who We Are

Verkada is the largest cloud-based B2B physical security platform company in the world. Only Verkada offers six product lines — video security cameras, access control, environmental sensors, alarms, workplace and intercoms — integrated with a single cloud-based software platform.
Designed with simplicity and scalability in mind, Verkada gives organizations the real-time insight to know what could impact the safety and comfort of people throughout their physical environment, while empowering them to take immediate action to minimize security risks, workplace frustrations and costly inefficiencies.
Founded in 2016 with more than $460M in funding raised to date, Verkada has expanded rapidly with 16 offices across three continents, 1,700+ full-time employees and 20,000+ customers across 70+ countries.

As a senior software engineer on our revenue informatics team, you will own the design and build of the data infrastructure and applications that empower our global sales team. In doing so, you will tackle a wide variety of challenges, processes, and data that make the engine of this Sales organization hum.

What You’ll Do

  • Build scalable and reliable sales data infrastructure: build infrastructure for retrieving, storing, and processing data from a variety of sources and systems
  • Improve data quality to drive revenue growth: constantly iterate on ways to improve data quality, including but not limited to:
    • Building frameworks and tools to ensure data accuracy and data freshness
    • Ensuring data consistency across systems
    • Building models and tools to identify and remove duplicate records
    • Evaluating and acquiring new data worldwide
    • Mapping complex real-world organizational structures such as conglomerates and multinational corporations in our systems
  • Create impactful tools: create tools core to our sales prospecting machine, leveraging the latest technologies in cloud computing and machine learning (e.g. LLMs) to help with customer acquisition and business expansion
  • Establish engineering standards: lead and grow junior engineers; establish software engineering best practices and standardize them across the team

Requirements

  • Bachelor’s or master’s degree in computer science or a related discipline
  • 3+ years of industry experience
  • Expertise in distributed systems, scalable data processing, cloud computing
  • Ability to distill business requirements, and work with cross-functional teams in a dynamic and fast-paced environment
  • Experience with machine learning and knowledge of Salesforce is a plus
  • Passion for impact, a bias towards scrappiness, and an ability to ship high quality products

Pay Disclosure

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 location and an assessment of a candidate’s skills and experience, as well as market demands and internal parity. This estimate can vary based on the factors described above, so the actual starting annual base salary may be above or below this range. This estimate is also just one component of Verkada’s total rewards package. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of Restricted Stock Units (RSUs).

Estimated Annual Pay Range
$130,000$280,000 USD

Verkada Is An Equal Opportunity Employer

As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.