Apr 24
In order to lead and apply data science across the Revenue function, we are searching for a highly independent and experienced RevOps Scientist / RevOps Engineer.
Bring data science to the revenue function with insights, analytics and forecasting/planning. Develop algorithms that better predict growth, focus, and investments.
Develop & operationalise a new lead scoring system that defines & predicts upselling opportunities and profiles, outbound & inbound personas and where to invest for lead acquisition.
Implementation of our Enterprise Self-serve product workflow to continuously provide a top-notch experience to our customers.
Execute analytical experiments to help solve problems across various geographies and industries.
Strategic projects: lead strategic projects that shape the revenue team; from automated pricing per market & vertical to AI CSMs.
Automations & optimisation of workflows: Own key automations and optimisations that will help the Revenue team deliver 2x more results.
We are a young company of highly motivated individuals who work together while being spread across the globe. Each one of us is driven by the pursuit of excellence, supporting one another while taking ownership of our outcomes, and exploring uncharted territories. To thrive in this environment, you embody these attitudes: You are passionate about text-to-speech AI driven by a desire to make content universally accessible and breaking the frontiers of new tech. You are a highly motivated and driven individual with a strong work ethic. Our team is committed to going the extra mile, even if it means working long nights and weekends to achieve our goals. You strive for excellence in every aspect of work, consistently taking ownership of your outcomes and overdelivering on goals. Have a humble attitude and are eager to learn whatever it might take to help your team and our customers succeed.
+7 years experience in a data science role.
Strong proficiency in programming languages such as Python or R, with experience in data manipulation, statistical analysis, and machine learning libraries.
Excellent understanding of machine learning techniques and algorithms.
Outstanding communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.
Detail-oriented mindset with a focus on delivering high-quality work.
Autonomous and Execution-focused mindset.
Master’s degree in a quantitative field such as Data Science, Statistics, Computer Science, or a related discipline. Equivalent practical experience will also be considered.
At ElevenLabs, our biggest reward is shaping that future of voice technology. In addition, we offer:
Stock options; we want you to have ownership in the company and share the successes that lie ahead. That’s why we offer early employees stock options as part of their compensation package
Remote-first; we look at who you are rather than where you live. That’s why we are growing across the globe and support your preferred location.
Flexible working hours; we are a remote-first company and believe in a flexibility.
Bi-annual company off-sites; the last two were in Portugal and Spain.
Opportunity to work with a super smart and ambitious group of people.