Loops

Experience Requirements:

• Proven experience in sales or business development.

• Excellent communication and presentation skills. Ability to persuade, lead, and confidently handle and resolve customer objections.

• Experience in the analytics industry (product/marketing analytics, AI, BI, etc) – a big advantage.

• High motivation and energy to exceed targets.

• High analytical skills to be able to understand the customers’ pain points and showcase Loops’ unique value propositions. Experience working in start-ups – advantage. English mother tongue – mandatory

Responsibilities:

• As an Account Executive, you will be responsible for generating new revenue for Loops: creating, cultivating and developing accounts and increasing market share.

• Meet and exceed sales quota – strategically selling the company’s core product to new prospects in a consultative manner.

• Generate new leads through outbound research.

• Management of entire sales cycle from prospecting, discovery, solution proposing, presentation, negotiating and closing.

• Working days – Mon-Fri

Experience Requirements:

• 5+ years hands-on experience with Python, including in data analysis (Pandas, NumPy)

• Experience with SQL

• Experience with machine learning pipelines and concepts

• Ability to work independently and lead initiatives E2E

• Familiarity with Docker/Kubernetes – Advantage Experience with Spark/Dask – Advantage

Responsibilities:

• Develop our core analytics engine that automatically turns data into concrete opportunities.

• Work closely with our data team to build and take our analyses and DS models into production.

• Mentor less experienced members of the team

• Work with our other talented developers, product managers, product designers, and data scientists

Experience Requirements:

• 5+ years hands-on experience with Python as your main programming language is a must

• Autodidact

• Passionate about clean, efficient and well-architectured code.

• Experience with Kubernetes and Helm is a must

• Knowledge of SQL and data modeling is a must

Responsibilities:

• Solve core and crucial problems affecting the infrastructure of the R&D.

• Build the next-generation analytics solution

• Lead the full development cycle from planning to implementation and deployment to production of complex features

• Learn about new technologies, design patterns and try to implement them in the R&D day to day job.

• Mentor less experienced members of the team Work with our other talented developers, product managers, product designers, and data scientists