Remote Jobs

ElevenLabs logo

Data Scientist - Marketing

ElevenLabs

Location
Canada
Posted

Data Scientist for paid marketing analytics and operations at ElevenLabs

Eventbrite, Inc. logo

Sr. Marketing Data Analytics Manager

Eventbrite, Inc.

Location
United States of America
Posted
Salary Range
113k - 204k USD

As a Sr. Marketing Data Analytics Manager at Eventbrite, you'll leverage data to optimize marketing strategies, collaborate with senior leaders, and drive impactful insights using tools like SQL, Tableau, and Snowflake.

Constructor logo

Data Analyst: Marketing & Data Storytelling (Remote)

Constructor

Location
Anywhere in the world
Posted

Data Analyst at Constructor: Analyze ecommerce trends, develop data-driven narratives, and create visualizations to inform retailers and industry professionals.

Automattic logo

Senior Marketing Data Engineer/Analytics Engineer

Automattic

Location
Brazil
Posted
Salary Range
90k - 150k USD

Marketing Data Engineer at Automattic: Design ETL pipelines, ensure data quality, and establish scalable data architecture for marketing data unification.

Rocket Money logo

Growth Marketing Associate - Product & Data

Rocket Money

Location
United States of America
Posted
Salary Range
60k - 80k USD

Manage Rocket Money's marketing technology systems, support growth strategies, collaborate with cross-functional teams, and drive data-driven decisions to optimize processes and implement new tools.

Binance logo

Binance Accelerator Program - Data Scientist (TechOps)

Binance

Location
Taiwan, Republic of China
Posted

Data Scientist (TechOps) at Binance Accelerator Program - Build personalized services, analyze large data sets, and collaborate with world-class talent on fast-paced projects.

Dropbox logo

Lifecycle Marketing Manager

Dropbox

Location
United States of America
Posted
Salary Range
128k - 195k USD

Demand generation lifecycle marketer for Dropbox, focusing on nurture marketing strategies, lead scoring, and campaign optimization.

Reka logo

Data Engineer

Reka

Location
Singapore
Posted

Join Reka as a Data Engineer to build scalable data pipelines, collaborate with researchers and engineers on cutting-edge AI projects, and contribute to the development of multimodal foundation models using tools like Python, Hadoop, Spark, AWS, Azure, Google Cloud, Docker, and Kubernetes. Enjoy benefits including 4 weeks paid leave, visa support, and comprehensive healthcare.

Yuno logo

Data Engineer

Yuno

Location
Chile
Posted

Data Engineer at Yuno: Design & build scalable data pipelines, collaborate with teams, & drive innovation in payment infrastructure.

Pagos logo

Data Engineer

Pagos

Location
Croatia
Posted

Build and maintain scalable data pipelines using technologies like SQL, Redshift, Apache Spark, and cloud platforms. Collaborate with backend engineers and contribute to our payments platform.

Red Canary logo

Data Engineer

Red Canary

Location
United States of America
Posted
Salary Range
117k - 135k USD

Design and build scalable data infrastructure at Red Canary. Develop and manage data products, ensuring high-quality data for cross-functional teams to drive innovation and growth.

Eneba logo

Data Engineer

Eneba

Location
Lithuania
Posted
Salary Range
48k - 72k EUR

Data Engineer at Eneba: build data pipelines, collaborate with ML engineers, and improve internal processes.

StackAdapt logo

Data Engineer

StackAdapt

Location
Canada
Posted

Join StackAdapt as a Data Engineer to design scalable data pipelines and implement ML algorithms for their advertising platform. Enjoy competitive salary, equity, RRSP matching, health benefits, work from home support, training programs, mentorship, and a supportive culture in this remote-first role.

Rackspace logo

Data Architect

Rackspace

Location
Viet Nam
Posted

Databricks SRE for Finance Data Repository (FDR) with expertise in infrastructure design, security, and optimization.

Apollo.io logo

Lead Product Marketing Manager - Data & Enrichment

Apollo.io

Location
British Virgin Islands
Posted

Lead product marketing for Apollo's data and enrichment offerings. Shape strategy, launch features, and drive adoption through cross-functional collaboration and GTM campaigns.

Lumos logo

Data Lead

Lumos

Location
United States of America
Posted

Data Lead at Lumos: Drive business growth through data-driven insights

COMPLY logo

Data Services Specialist

COMPLY

Location
United States of America
Posted
Salary Range
55k - 65k USD

Assist clients with data reconciliation projects, maintain site configurations, and lead multiple projects to meet deadlines while utilizing tools like Salesforce, Jira, and Python. Enjoy comprehensive benefits and remote work flexibility at COMPLY.

ElevenLabs logo

Data Scientist - Marketing

ElevenLabs

Job Summary

ElevenLabs is a pioneering voice technology company seeking an experienced Data Scientist to lead analytics and operations for paid marketing efforts. The role involves building and optimizing dynamic LTV models, creating intuitive dashboards, and conducting detailed analysis to uncover trends and opportunities. The ideal candidate combines technical excellence with ethical awareness, has a strong work ethic, and is passionate about audio AI. With high-velocity innovation, remote-first work options, and continuous growth opportunities, ElevenLabs offers a unique chance to be an early member of a company on the rise.

This role is remote, so it can be executed globally. If you prefer, you can work from our offices in New York, London and Warsaw.

About ElevenLabs 

At ElevenLabs, we are pioneering voice technology with our cutting-edge research and products. 

We launched in January 2023 and have since reached over 1 million users globally and have partnered with the world’s biggest names (see customer stories). We have closed our Series-B funding at 1.1B valuation earlier this year and are backed by the leading names in tech and AI (Nat Fridman, Daniel Gross, Andreessen Horowitz, Sequoia, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, Deepmind & Inflection co-founder Mustafa Suleyman, and many others). 

We are at an exciting phase of our growth and innovation and are looking for ambitious people to help us further push the boundaries of voice AI. This is a rare chance to be an early member of a company on the rise. If this excites you, we want to meet you! 

Who we are

A global team of passionate and innovative individuals united by curiosity and a shared goal: to be the first choice for AI audio solutions. Together, we are shaping a new technology and market from the ground up. We innovate quickly and take pride in getting things right, from the big picture initiatives to the details that keep us moving smoothly every day. We work with high autonomy and accountability where the best idea wins at any time and from anyone.

 

About the role 

We’re looking for an experienced, hands-on Data Scientist to lead analytics and operations for our paid marketing efforts. This role is central to significantly scaling our reach across digital and traditional paid marketing channels and platforms, ensuring our investments in paid marketing are driving measurable business outcomes. 

In this role you will:

  • Own our marketing measurement strategy – from attribution modeling to incrementality testing – ensuring we have a crystal-clear view of what drives performance across our marketing mix.

  • Build and optimize dynamic LTV models that power our spend decisions, helping us target the right customers and maximize ROI across both B2B and B2C segments.

  • Create intuitive dashboards and reporting systems that track campaign performance and uncover optimization opportunities across digital and traditional channels.

  • Conduct detailed analysis to uncover trends, opportunities, and areas for optimization.

  • Work with engineering to drive automation and efficiency by procuring, implementing and managing our MarTech stack, including our marketing automation and tag management systems that scale our marketing operations.

Who you are

We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You’ll strive with us if you: 

  • Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech.  

  • Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead. 

  • Are analytical, efficient, and strive on solving complex challenges with a first principles mindset. 

  • Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations.

  • Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside.

What you bring

  • We are seeking someone with a track record of driving meaningful business growth through paid marketing initiatives at a software company.

  • Experience building and scaling marketing measurement frameworks from the ground up, including multi-touch attribution models, incrementality measurements, LTV models, audience segmentations, etc.

  • Familiarity with analytics tools across the modern data and MarTech stack (SQL, python, BI tools, dbt, Google Tag Manager, etc.)

Bonus experience:

  • Technical enough to dive into the codebase when needed – whether it's implementing tracking pixels, building data pipelines, or stitching data together across disparate data sources.

  • Experience working on a dual B2C/B2B business models.

  • Experience implementing and scaling MarTech stacks.

What we offer

  • High-velocity innovation: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.

  • A truly global team: Collaboration with teammates across 30+ countries, a global customer footprint and office hubs in New York, London and Warsaw. Annual company offsite for the whole team to get together (the last one in Croatia!) 

  • Remote first: We prioritize your talent, not your location, with structured asynchronous workflows for maximum impact and minimal meetings.

  • Continuous growth: Collaborate with AI leaders, shape your path, and contribute where you excel most.

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