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Sales Engineer

Role: Sales Engineer

Level: 3-5 years experience

Location: Remote

Last updated: 1/7/22


Join Us!

Play a key part in the growth of an industry innovator in data engineering automation and big data analytics.

  • Switchboard serves globally-recognized enterprise customers in digital media and marketing.

  • Our customers are running at scale in production where we are essential to help them deliver innovative products and grow revenue.

  • Our founding team built and launched Google BigQuery. We have more than a decade of experience working in concert with engineering to bring enterprise-grade market-leading SaaS products to market.


Switchboard is the leading SaaS company helping some of the leading Enterprises in the world (companies like Spotify, Meredith Corporation, Orangetheory Fitness, Financial Times and others) transform their business through the use of data automation. 


Partner with the Founding Team to create a world-class pre-sales practice in Data Operations, one of the fastest-growing enterprise opportunities. Switchboard's Sales Engineering team is a strategic differentiator; we are highly professional, technical, and results-driven.


To accelerate our customer growth, we are seeking a talented Sales Engineer who excels at driving strategic data projects in partnership with Sales & enterprise customers. Collaborate with Switchboard's Engineering and Marketing teams to ensure that customers can design, implement, and launch robust data solutions to power their most challenging marketing and revenue analytics projects. 


This key role reports to our CTO/Co-Founder, and is part of the overall pre-sales team. We’re looking for someone who enjoys working with customers, enjoys speaking in public, thrives on launching high-value data projects, and welcomes challenges as opportunities to grow both personally and in their career.


  • Product demos that are specific to the prospect’s needs, goals and unique scenario.

  • Providing a deep level of product knowledge and skillfully answering product-related questions during the sales cycle.

  • Participating in discussions with prospects regarding the competitive landscape, drawing on knowledge of competitive differentiation and positioning.

  • Work with the sales team and prospect to help determine if the product is the right fit for the prospect’s needs via Demos or POCs.

  • Demonstrate and train sales team members on new product features and how to successfully position those features for maximum impact.

  • Consult with Customer to develop data models and reports from decision requirements to ensure customers realize value with a POV/POC within the first 30 days of a new engagement

  • During the Pre-sales motion: Provide ongoing technical leadership on customer projects by understanding business cases, technical and business requirements, and proposing technical solutions

  • Educate internal teams regarding customer feedback to shape the product roadmap

  • Willingness to travel (mostly nationally, occasional international) as required (total travel <10%)

You Will Be Successful If

  • You are a self-starter and able to work in a fast-paced technical environment

  • You employ a process-oriented mindset to solve problems at scale

  • You are good at simplifying complex topics and helping others to learn and understand

  • You don’t believe in settling, you find ways to overachieve and keep improving 

  • Your ability to learn is off the charts and you are always hungry for more

  • You have an authentic drive for personal growth and empowering the same for others 

  • You want to accelerate your career progression by joining and making a massive impact at a startup



  • 1-2+ years in a customer-facing role

  • Proficient in SQL and able to skillfully extract and transform data as needed

  • Experience managing a customer project from design to launch

  • Preferred: 2+ years of some experience in dimensional data modeling, and Data Warehousing (BigQuery, RedShift)

  • Preferred: Experience working with data from ad servers, Google Analytics/Omniture, Ecommerce systems

  • Preferred: Experience in an early-stage startup environment

  • Preferred background: Data Analytics, Consulting, Technical Account Manager at a SaaS company


About Switchboard

Switchboard enables digital-first teams to grow their revenue and acquire more customers by leveraging the growing amounts of first- and third-party data available to them, without any complex IT work or custom development. Founded by the product team who created Google BigQuery, Switchboard is specifically designed for the unique challenges facing multi-channel marketing and publishing teams. Built as a SaaS platform and in production with customers since 2017, Switchboard has solved enterprise-scale problems for leading companies including Spotify, Meredith, and Orangetheory Fitness.

About the Space

Big data analytics continues to swell into a multi billion dollar market. Companies are looking for the fastest, easiest way to extract value. However, only organizations with robust resources and highly skilled data science teams are able to swiftly monetize and take advantage of data analytics. 

The oversized problem around data has grown exponentially for the digital media market. Worldwide digital ad spending increased from $335 billion in 2019 to $378 billion in 2020. This year, as the overall ad market rebounds, digital spending will increase by 20.4% to more than $450 billion. The business health of media agencies, publishers, and trading desks are driven from efficiently capturing digital insights. These organizations are drowning in data as they often lack engineering & data science resources to analyze and monetize content.