We’re hiringEU Account Executive

Remote · Up to 75k

Apply now

What are we looking for?

We are seeking an experienced and proven enterprise Account Executive who thrives in startups and is adept at selling to technical buyers. 

If you are driven and resourceful, if you are creative and solution oriented, if you are excited about joining a startup as an early member of the Sales team and having the chance to greatly impact its development and the company’s future, this  may be the right opportunity for you.

At Tinybird, we move very fast, but always as a flock. So candidates must be phenomenal team players while fully capable of completing tasks in a self-directed manner.

What will you be doing?

  • Develop and run the entire sales process, spearheading the effort around every opportunity and rallying the team as needed in order to demo, quote, negotiate and close business.
  • Setting up and managing pre-sale POCs with prospects whenever appropriate.
  • Proactively source new leads and new business opportunities, generating, managing and forecasting a sales pipeline in your region.
  • Presenting our product and articulating its benefits to senior executives and data teams in client meetings, anticipating, managing and influencing prospect objections.
  • Building strong and long lasting relationships with the teams at the accounts as well as ensuring a high level of responsiveness during and after closing the opportunity.
  • Help us develop and refine a repeatable, scalable sales motion.

Here you have our company principles.

What do you bring to the team?

  • 3+ years minimum experience in a SaaS, quota-carrying sales role, ideally in data, analytics or infrastructure tech.
  • Knowledgeable and passionate about technology and Data, and about how it can help businesses.
  • Tech savviness and quick to learn, use and demonstrate a technical product as well as to articulate its value proposition.
  • Driven to excel and to meeting and exceeding targets, often autonomously, in a fast-changing environment.
  • Excitement about the role and about joining a deeply technical team that is driven to change the way Big Data Products are built and to help build out the Sales function.
  • Proven track record of CRM hygiene, transparency and management.
  • Excellent written and verbal communication skills.
  • An understanding of the Data Warehousing and Analytics technology space and key players.
  • A history of running the complete sales cycle from qualification to close.

‍A bit more about the hiring process

We value your time so we try to simplify the process as much as possible. Every candidate will get an answer and we get in touch to let you know where you are in the process.

  • Screening Interview: 30 minutes with the Head of BUSINESS DEVELOPMENT
  • CV Interview: 90 minutes with the VP of Sales
  • Focus interview: 30 minutes each with Sales Engineer, Account Executive, and CEO
  • Mock demo and written prospecting assignment to the hiring team.


  • Competitive Package. Based on your experience and market, you will receive a competitive salary and target bonus, up to 150K as well as stock options
  • Unlimited PTO. We will not count the days you take off, but we insist you take at least 22 days off per year. Plus, your birthday off and public holidays… but, who’s counting?
  • Work remotely. You have the freedom to work from wherever suits you best, so long as you can meet the obligations of your role. This time, business needs lead us to look for people based in Spain and are able to work in a hybrid environment.
  • Equipment of your choice. You get to choose the equipment you need to do your best work (2,400 € budget)

How to apply

Apply by telling us a bit about yourself and ask us whatever you need to know about the problem we are trying to solve, the company, your role, etc. Diversity of identity, perspective, and experience makes us stronger. We welcome you to apply to Tinybird regardless of your background, gender, ethnicity, orientation, or ability.

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About Tinybird

Tinybird is the data platform that helps data engineering teams address complex real-time, operational, and user-facing analytics challenges at any scale. It simplifies the process of importing data from various sources, allowing you to use SQL for data manipulation—such as filtering, aggregating, and joining—and then publish the results as low-latency, high-concurrency RESTful API endpoints or as sinks into downstream systems.

Loved by developers.
Trusted by data teams.

Calle del Dr. Fourquet, 27
28012 Madrid
41 East 11th Street 11th floor
New York, NY 10003