Sales Engineer

  • Category
    Sales/Business Dev.
  • Location
    San Francisco, California
  • Type
    Direct hire


This customer 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.

To help accelerate customer growth, we are seeking a talented Sales/Solutions Engineer who excels at driving strategic data projects in partnership with Sales & enterprise customers. Collaborate with 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 the 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.

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


  • 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 Data and able to skillfully extract and transform data as needed
  • Experience managing a customer POC 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, Ecomm systems
  • Preferred: Experience in an early-stage startup environment
  • Preferred background: Data Analytics, Pre-Sales, Technical Account Manager at a SaaS company

About the Customer

This customer 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, is specifically designed for the unique challenges facing multi-channel revenue, marketing, Ads, social, and publishing teams. Built as a SaaS platform and in production with customers since 2017, they have solved enterprise-scale problems for leading companies including Spotify, Meredith, and Orangetheory Fitness.

As a sample Customer, at Orangetheory Fitness, the Objective: Drive Sales funnel Conversion and member Engagement

  1. Unify disparate data to drive Sales & Marketing efficiency
  2. Centralize data-driven approach to create a deeply personalized experience and a vibrant community

Benefits Achieved:

  • Now, managing data at scale efficiently - 500 ad accounts continuously onboarded into Snowflake
  • Data Engineering team's bandwidth freed up for higher value tasks - 120 ENG hours saved each week
  • Reduced time to market - from 8 to 2 months of development time for building strategic data assets
  • Instantly assign a dollar value on any metric now, including last-click and multi-touch attribution.



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