Remote Jobs

Kontakt.io logo

Data Platform Engineer

Kontakt.io

Location
Georgia
Posted

Data Platform Engineer at Kontakt.io: Design & build scalable data infrastructure for real-time analytics & automation

Anaplan logo

Data Integrations Engineer

Anaplan

Location
United States of America
Posted

Data Integrations Engineer at Anaplan: Design scalable data integration solutions for business teams

Anaplan logo

Data Integrations Engineer

Anaplan

Location
United States of America
Posted

Data Integrations Engineer at Anaplan: Design scalable data integration solutions for business teams

Apollo.io logo

Customer Success Manager, Mid-Market

Apollo.io

Location
United States of America
Posted

High Touch Customer Success Manager: drive incremental product adoption, identify risk, and engage with customers to achieve adoption, NRR, and activity targets.

Newsela logo

Mid-Market Customer Success Manager

Newsela

Location
United States of America
Posted
Salary Range
75k - 100k USD

Manage mid-market accounts in EdTech, drive customer success through strategic planning and support, collaborate with teams for professional development, and contribute to the growth of Newsela's educational platform.

Uberall logo

Data Operations Specialist

Uberall

Location
Philippines
Posted

Data Operations Specialist at Uberall: Provide expert support to clients on location data, perform data manipulation tasks, and deliver audits to maintain accuracy and quality standards.

Uberall logo

Data Operations Specialist

Uberall

Location
Philippines
Posted

Data Operations Specialist at Uberall: Join our team and provide expert location data support to clients, with opportunities for growth and development in a mission-driven culture.

Gitlab logo

Account Executive Mid Market - Emerging Markets

Gitlab

Location
Croatia
Posted

Lead mid-market accounts at GitLab, manage client projects, contribute to sales strategies, and drive customer satisfaction while working remotely with comprehensive benefits.

Welocalize logo

Data Operations Engineer

Welocalize

Location
Mexico
Posted

Data Operations Engineer at Welocalize: Develop and maintain robust ETL processes, scalable data pipelines, and reliable data transformations for BI and analytics purposes.

Podium logo

Data Operations Engineer

Podium

Location
United States of America
Posted

As a Data Ops Engineer at Podium, you'll ensure data systems are fast, reliable, and scalable while supporting cutting-edge AI projects. You'll work with Elasticsearch, Kafka, RabbitMQ, Redis, and PostgreSQL to optimize performance and automate infrastructure using Terraform and Ansible.

Axios logo

Director of Product - Data

Axios

Location
United States of America
Posted
Salary Range
180k - 220k USD

Lead data initiatives at Axios, driving impactful insights and strategies that enhance customer understanding and business growth. Collaborate across teams to leverage data effectively and develop innovative solutions.

Nutrafol logo

Apply here to join Nutrafol's Talent Community!

Nutrafol

Location
United States of America
Posted

Join Nutrafol's Talent Community & grow with a company that empowers individuals to reach their full potential through innovative hair wellness solutions.

Restaurant365 logo

Manager, Data Engineering

Restaurant365

Location
United States of America
Posted
Salary Range
165k - 198k USD

Lead Restaurant365's Data Engineering team, driving impactful data products for a SaaS platform in the restaurant industry. Manage cross-functional projects, mentor team members, and leverage advanced tools like GCP, dbt, Fivetran, and Apache Airflow to enhance business outcomes.

Udacity logo

Software Engineer, Data

Udacity

Location
India
Posted

Design and develop data solutions using Apache Spark, Scala, Airflow, Postgres, and Redshift on AWS

Awin Global logo

Data Engineer (AI/NLP)

Awin Global

Location
Romania
Posted

Data Engineer (AI/NLP) at Awin: Build data pipelines, collaborate with teams, and drive business decisions with AI-powered insights.

Awin Global logo

Data Engineer (AI/NLP)

Awin Global

Location
United Kingdom
Posted

Data Engineer (AI/NLP) at Awin: Build and maintain data ingestion pipelines, collaborate with data scientists, and ensure data quality for analysis and reporting.

Awin Global logo

Data Engineer (AI/NLP)

Awin Global

Location
Germany
Posted

Data Engineer (AI/NLP) at Awin: Build data pipelines, ensure data quality, and collaborate with data scientists.

Awin Global logo

Data Engineer (AI/NLP)

Awin Global

Location
Spain
Posted

Data Engineer (AI/NLP) at Awin: Build and maintain data pipelines, collaborate with data scientists, and contribute to project planning.

Apollo.io logo

Senior Data Scientist - Go-To-Market (GTM)

Apollo.io

Job Summary

Apollo.io seeks a Senior Data Scientist to enhance Go-To-Market strategies through data-driven insights. The role involves analyzing customer acquisition channels, identifying opportunities to drive revenue growth, and collaborating with cross-functional teams. As a remote-first company, Apollo invests in employee growth, autonomy, and collaboration. The ideal candidate has experience in GTM Analytics, expertise in translating complex data into actionable insights, and proficiency with data analytics tools.

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.

Position Overview:

We are seeking a highly analytical and impact-driven Senior Data Scientist to enhance our Go-To-Market strategies through data-driven insights. In this role, you will focus on optimizing sales, support, or marketing efforts, analyzing customer acquisition channels, and identifying opportunities to drive revenue growth. You will collaborate closely with cross-functional teams, including Sales, Marketing, Finance, and Product, to inform and refine our GTM approach.

What You’ll Do:

  • Analyze GTM Performance and evaluate the effectiveness of various sales and marketing channels, campaigns, and initiatives to identify key drivers of customer acquisition and retention.
  • Create models to forecast sales trends, customer lifetime value, and churn, enabling proactive adjustments to GTM strategies.
  • Develop and utilize clustering and segmentation techniques to identify distinct customer groups, tailoring GTM strategies to each segment.
  • Work closely with Sales, Marketing, Finance, and Product teams to provide data-driven recommendations that enhance lead generation, conversion rates, and overall revenue.
  • Analyze pricing strategies and product offerings to determine optimal configurations that maximize market penetration and profitability.
  • Design and implement experiments to test the impact of different GTM tactics, ensuring continuous improvement and learning.
  • Develop and maintain dashboards that track key GTM metrics, providing transparency and actionable insights to stakeholders.

What You Bring:

  • Experience in GTM Analytics or similar role, with a proven track record in analyzing and optimizing sales and marketing strategies, preferably in a SaaS environment.
  • Expertise in translating complex data into insights that are actionable for cross-functional teams.
  • Proficiency with data analytics tools and platforms (e.g., Looker, Amplitude) is a plus but not required. A focus on solving product challenges is more important than specific tool experience.
  • Experience in building and maintaining reliable analytics infrastructures.
  • Excellent communication skills, with the ability to clearly present data insights to both technical and non-technical stakeholders.
  • Experience with 0 to 1 product initiatives is a plus, though not required.
  • A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment.

Qualifications:

  • Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience.
  • Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization is required.
  • Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc., is required.
  • Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments) is a huge plus.
  • Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense, ensuring insights align with customer needs and product goals.

Why You’ll Love Working at Apollo

At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead.

As a remote-first company, we invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins.

If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you.