Rockerbox is hiring a Sales Engineer to partner closely with our go-to-market team and help enterprise prospects understand the power of our marketing measurement platform. This role sits at the intersection of technical depth and customer engagement—translating complex data capabilities into clear, actionable value for brands. Reporting to our Head of Sales, the Senior Lead Sales Engineer will play a key role in pre-sales conversations, helping to scope solutions, navigate data integrations, and accelerate deal cycles. We’re looking for someone with strong technical experience in the data space—ideally martech or adtech—who thrives in collaborative environments and knows how to simplify the complex.

About Rockerbox

Rockerbox is a leader in the SaaS marketing measurement field, addressing the evolving industry landscape and the emerging need for a new approach, known as "measurement 2.0". This need has arisen from significant industry changes over the past four years, including new privacy regulations, the deprecation of third-party cookies, and a shift in marketing spend towards harder-to-track channels such as TV, Direct Mail, and Connected TV (CTV). These developments have rendered marketing measurement both more complex and more critical than ever.

Rockerbox addresses these challenges with a unique suite of product lines that centralize data and offer diversified measurement methodologies to marketers. The foundation of Rockerbox's solution is data centralization. Atop this foundation, the platform enables marketers to choose from a range of measurement methodologies.

The data product foundation of Rockerbox meticulously collects, centralizes, and cleans all relevant marketing information. It then provides a comprehensive suite of measurement tools, including rule-based attribution, multi-touch attribution, halo analysis, geo lift, in-channel testing, incrementality, and media mix modeling. This diverse range of tools ensures marketers are not restricted to a single type of measurement, but have the flexibility to choose the most appropriate approach for their specific needs and questions.

Rockerbox has achieved industry-wide recognition and won numerous awards for its pioneering measurement technology. The company has also formed strategic partnerships with major industry players like Pinterest, Snapchat, and Reddit. Collaborating with hundreds of the world's largest brands, Rockerbox is indeed ushering in a new era of marketing measurement.

What you’ll do:

• Support enterprise sales cycles: partner with Account Executives to lead technical discovery, deliver product demos, and act as a trusted technical advisor to prospects.
  
  
• Translate complex requirements: help marketing and data stakeholders understand how Rockerbox fits into their tech stack and measurement needs, from data ingestion to reporting.
  
  
• Scope solutions: design tailored implementation approaches based on each prospect’s data infrastructure, internal resources, and goals.
  
  
• Handle objections and unblock deals: confidently address technical concerns, run proof-of-concept processes when needed, and provide clear next steps that keep deals moving forward.
  
  
• Collaborate cross-functionally: work closely with Product, Customer Success, and Professional Services to ensure a seamless handoff from pre-sales to post-sales.
  
  
• Level up the team: build repeatable resources (demo flows, objection-handling docs, data diagrams) that strengthen the team’s ability to sell technical value at scale.
  
  

Who you are:

• You have 3+ years of experience in a Sales Engineer, Solutions Engineer, or Technical Account Manager role at a SaaS company working with data products.
  
  
• You’re comfortable talking to both marketing leaders and technical teams and know how to tailor your message accordingly.
  
  
• You have hands-on familiarity with data pipelines, ETL tools, APIs, or cloud data warehouses like Snowflake, BigQuery, or Redshift.
  
  
• You understand how web tracking, ad platforms, or marketing analytics tools work under the hood (bonus if you’ve worked in martech or adtech).
  
  
• You’re proactive, curious, and quick to learn the ins and outs of a product—and just as quick to explain them clearly to others.
  
  
• You enjoy working in a fast-paced, collaborative environment and are excited to help build and scale the pre-sales function.

The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV.
The estimated salary range for this role based on the qualifications set forth in the job description is between [$128,000 - $225,000]. This role will also be eligible for bonus/commission (as applicable), equity, and benefits. The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognize that the person we hire may be more or less experienced than this job description as posted.

Not-so-fun fact: Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!