Help Our Customers to Be Data Strong - Join Us!

Make a difference in the DataOps revolution

As the data unification platform category leader, Switchboard provides the answer for B2C or B2B2C enterprises to set up and scale cloud analytics without complex IT or custom development. Founded by the product team who launched Google BigQuery, Switchboard is specifically designed for the unique challenges facing multi-channel marketing, advertising, and online media executives. Built as a SaaS platform with commercial availability in 2016, Switchboard manages data pipelines ingesting billions of rows and terabytes of data each month for enterprise customers such as Spotify, Fandom, Meredith, the Financial Times, and Pearson. Strategic partnerships include Google and Tableau, and a total of $2.7M has been received to date from VCs and investors including Two Sigma, Penn, Crunch Fund, and Lytical Ventures. 

About the Space
Market research firm IDC predicts big data analytics will continue to swell into a $274.3 billion market by 2022. However, only those organizations with robust resources and highly skilled data science and engineering teams are able to swiftly monetize and take advantage of data analytics. Switchboard’s low/no-code data unification platform dramatically reduces the time and skilled resources needed to build and operate large scale analytics.

Here are our currently available openings:

Head of Customer Success

Be Data Strong. Switchboard enables non-technical business teams to do technical data analysis. We are looking for a talented Head of Customer Success who can manage and expand an efficient, high-performance enterprise CS team. The successful candidate will be a strong, process-driven leader with a proven track record of building strategic enterprise customer relationships, managing expectations, and identifying new opportunities with high-value enterprise customers. Passion to be heavily involved in day-to-day CS Engineering activities is also essential for our stage. You eat BigQuery and Snowflake for breakfast, have Looker and Tableau for lunch, then enjoy SQL for dessert. 

This key role oversees the full CS Team to make sure new customers become forever customers because they quickly realize sustained value from our technology platform. You report directly to the CEO  and partner with our CTO. Our Customer Success team is a strategic differentiator. Our customers rely deeply on our subject-matter expertise and data science skills to help them drive revenue. 

Key Responsibilities

  • Ensure customers realize value early and often by using our products and following best practices that you capture and develop by collaborating with the CTO.

  • Ensure customer retention, identify expansion opportunities, meet SLAs by monitoring contractual commitments and limits.

  • Oversee initial on-boarding and on-going delivery of a range of big data analytics projects.

  • Provide hands-on leadership to the team and on customer projects by understanding business cases, technical requirements, and implementing scalable solutions

  • Provide consolidated customer feedback to Product and Engineering teams to shape our product roadmap and improve customer self-service



  • 7-10 years in a customer-facing consulting, CS, or pre-sales role

  • 4-7 years building and/or managing a CS Team

  • Demonstrated success in strategic enterprise account management

  • Experience managing high profile customer projects from design to launch

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

  • Proficient in one or more scripting languages. (Python, R, PowerShell, etc.)

  • Preferred: 3+ years experience in dimensional data modeling, and data warehousing (BigQuery, Snowflake, Redshift)

  • Preferred: Experience in an early-stage startup environment

  • Preferred: Experience working with enterprise SIs to deliver projects effectively



  • BS/MS in Computer Science or related technical discipline

  • Systems Consulting & customer-facing experience

  • Strong verbal and written communication and presentation skills

  • Analytical and process-oriented mindset; Innate problem-solver able to dig into root cause issues and create solutions

  • Self-starter & Builder who wants to build an efficient and effective department in a rapidly scaling startup with their own hands

Working at Switchboard is challenging, rewarding, and fun, yet you'll have time for life outside of work. Everyone is a serious professional, but we all pursue other interests including art, photography, music, cycling, running, fitness, and family. We work in a gorgeous, light-filled space in downtown San Francisco, minutes from the Montgomery Street BART station. Our benefits are generous and include medical, dental, vision, and top-notch equipment. Lunch is not only provided daily, but we often enjoy it together while debating which is the best binge-worthy show to watch this weekend...

Full Stack Engineer

Switchboard is seeking an experienced Full Stack Engineer to help us scale businesses' critical data analytics. At Switchboard, we make the complex world of data operations easy and transparent.

We are a results-oriented team of engineers who have launched products at Google, Facebook, LinkedIn, and early-stage startups. You'll be working alongside skilled and experienced colleagues to push the boundaries of what Python, Spark, and distributed systems can accomplish. You'll drive development of a novel and powerful approach to large-scale data workflow. You'll work closely with the founding team to create the platform that drives Switchboard's customers forward.

What will make you a good fit? You are an engineer who has experience launching a new product or major product release. You are an expert in large-scale distributed systems. You can own and execute mission-critical feature iterations, while working collaboratively with engineers across the entire application stack. You are excited to tackle the challenge of designing systems that remain reliable and responsive under periods of intense load. You understand how critical well-tested components are for team velocity, and you use metrics to maximize system performance.

Basic Qualifications:

  • B.S. or advanced degree in Computer Science or related field

  • 3+ years experience developing in an object-oriented language (Python & Scala a plus)

  • 1+ years experience with SQL or noSQL databases

  • Minimum 2+ years experience working on backend/server systems

  • Excellent verbal and written communication skills; a team player with strong analytical and problem-solving abilities

Preferred Experience:

  • Designed, built and tested large E-commerce, Ads or other data applications

  • Distributed systems, including Spark and SQL databases

  • Experience deploying and troubleshooting in production environments

  • Experience with automated functional and load testing

  • Familiarity with retrieving data from RESTful APIs (SOAP a plus)

  • Familiarity with AWS a plus

  • Familiarity with machine learning and statistics a plus

  • Familiarity with JavaScript a plus



268 Bush Street, #2809
San Francisco, CA 94104

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