Data Strategy Associate, Global Revenue Informatics
VerkadaSan Mateo, CA United StatesPosted 3 March 2026
Job Description
<div class="content-intro"><h3><strong>Who We Are</strong></h3>
<p>Verkada is transforming how organizations protect their people and places with an integrated, AI-powered platform. A leader in cloud physical security, Verkada helps organizations strengthen safety and efficiency through one connected software platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management.<br><br>Over 30,000 organizations worldwide, including more than 100 companies in the Fortune 500, trust Verkada as their physical security layer for easier management, intelligent control, and scalable deployments. Founded in 2016, Verkada has expanded rapidly with 15 offices and 2,200+ full-time employees.</p></div><div class="section page-centered">
<h3><strong>Overview</strong></h3>
<div>As a member of our Sales Strategy and Operations team, you will have an integral role in driving the insights, operations, and strategy that enables Sales to run better, faster, and smarter. Sales Strategy and Operations is an excellent platform to learn how a business really runs. Prior candidates that our leadership team has worked with have gone on to be VPs and COOs of companies.</div>
<div> </div>
<div>You will be joining the Sales Strategy and Operations team as a high impact contributor, gaining exposure to a wide variety of challenges, processes, and data that makes the engine of this Sales organization hum. As an Associate on the team, you will lead cross-functional initiatives from ideation to analytics to recommendations to drive impact across the sales organization.</div>
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<div class="section page-centered">
<h3>Why Data?</h3>
<ul>
<li>Data is the foundation of our go-to-market strategy. It supports all parts of our sales motion, including: </li>
<li>Creating customer profiles to identify target high value buyers</li>
<li>Identifying facilitating key growth opportunities, e.g., entering markets in previously untapped geographies </li>
<li>Segmenting our sales team and defining sales representative patches </li>
<li>Populating and maintaining an accurate universe of buyers </li>
</ul>
<div>We recognize the importance of data to our scalability and success, and we aim to make it a core competency of our business.</div>
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<div class="section page-centered">
<h3>What You’ll Do</h3>
<ul>
<li><strong>Improve data quality value</strong>: identify opportunities to use data to grow revenue. Find new methods for lead generation. Increase sales prospecting efficiency by improving the accuracy of our data.</li>
<li><strong>Design internal products</strong>: design and oversee the engineering development of revenue-generating products for our sales team.</li>
<li><strong>Source evaluate vendors</strong>: conduct market analyses to compare vendor capabilities to satisfy key business requirements; evaluate vendor quality present recommendations to the leadership team.</li>
</ul>
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<h3>Requirements</h3>
<ul>
<li><strong>High-impact self-starter:</strong> you take initiative to move projects forward and can operate well with little guidance. You’re excited by the possibility of leading cross-functional workstreams and working within a dynamic and fast-paced environment.</li>
<li><strong>Strong analytical skills:</strong> you nerd out about data, can quickly structure analyses to answer key business questions to drive decision-making, and will also have perspectives on building the right data architecture.</li>
<li><strong>Communication and stakeholder management:</strong> you'll need to be able to connect with sales reps, data engineers, and external vendors alike to figure out how we build the right processes and workflows to drive efficiency. Strong written and verbal communication skills are a must.</li>
<li><strong>Process and operational thinking:</strong> you can tackle a problem independently and quickly iterate to a solution, and then also document it ... (truncated, view full listing at source)
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