PolarsBaru

Founding Account Executive

WorldwideSales
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Worldwide
Worldwide
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Keahlian yang disebut

Python

Benefit yang disebut

  • Saham / opsi saham
  • Tunjangan kerja dari rumah
  • Jam kerja fleksibel

Deskripsi pekerjaan

3 menit baca

About Polars

Polars is the next generation of data processing in Python. Built to process structured data at lightening speed, our open source query engine has become one of the most used query engines worldwide. With over 60 million downloads per month, it has become the default tool for data practitioners who care about performance and versatility. For companies that need to scale, we're building the commercial layer on top; Polars Distributed and Polars Cloud, designed to run Polars at any scale, from a laptop to a distributed production cluster.

Enterprises that are already building on Polars, reach out to us because they want to scale and/or support. We're hiring our founding Account Executive/GTM specialist to build the sales pipeline around these enterprises and drives growth.

What you'll do

At Polars, we care about being the compute engine that solves real problems of data practitioners. We deeply care about our product and companies recognize this. We want to meet clients where they are at and put the engineering effort behind it to make it work for them. This care hasn't gone unnoticed and has led to Polars ' rapid adoption. Now our product is growing, we are looking for an Account Executive who can build a sales motion from 0 to 1. This isn’t a role where you get handed a playbook, you will have to define it. Our open source success means lots of companies today use Polars, you’ll listen to their use case and understand their needs. Our existing clients are a source of inspiration for you. You will interview them and learn why they love Polars and what problems we solve for them.

Our clients are data engineers, analysts, traders, data scientists that means you have to be able to hold your own during a technical call. You won't have to do it alone, we have a strong technical team and founders that will join you in the process, but you will build the relationship and own the process. You'll be selling into technical infra buyers at quant funds, trading firms and data-intensive enterprises.

Requirements

A track record of generating your own pipeline and opening new logos;

Experience in selling data or deeply technical products;

You have been working at an organization with strong sales process for 3-5 years or longer;

Entrepreneurial instinct: you create structure where there is none and iterate fast. You like to build from 0 to 1 and if something isn't there you will fix it;

Track record closing deals in the six-to-seven-figure ACV range.

Good to haves

You know how to sell to data engineers or data scientists;

You can sell to large financial companies;

Enough technical literacy to earn a data engineer's respect on a first call.

What success looks like

Months 1-3: master who we sell to and why we win, and start booking qualified first meetings from your own outbound;

Months 3-6: a self-sourced pipeline that didn't exist before you arrived, and a clear read on which new market to open next;

Ongoing: meetings the founder and engineers can walk into and close and a repeatable outbound motion documented well enough that the next seller can run it.

Benefits

Growth: An important role in a high-growth startup allowing fast growth in responsibilities;

Highly technical environment: Chance to work with and learn from a strong technical team passionate about data processing and software engineering;

Competitive salary + Equity: Base + OTE and stock options means you will benfit from Polars ’ success;

Flexible working hours, Depending on location, spend a 1-2 days in office, work the other days remote, or work fully remote.

Highlights

We are looking for an Account Executive who can build a sales motion from 0 to 1. You won't be handed a playbook, you will have to define it. Our open source success means lots of companies use Polars

Originally posted on Himalayas

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