Senior Lead Sales Engineer - Rockerbox at DoubleVerify
New York, New York, USA -
Full Time


Start Date

Immediate

Expiry Date

28 Nov, 25

Salary

225000.0

Posted On

28 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Snowflake, Web Tracking, Etl Tools, Data Products

Industry

Marketing/Advertising/Sales

Description

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.

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!
Responsibilities

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.

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
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