Remote Jobs

Apollo.io logo

Engineering Manager - Growth (Activation)

Apollo.io

Location
United States of America
Posted

Engineering Manager at Apollo.io: lead growth initiatives, manage high-performing teams, and drive experimentation-driven solutions for user retention and business impact.

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Argentina
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Senior Project Manager

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Gitlab logo

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Deel logo

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Deel logo

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Customer Onboarding Manager

Postscript

Location
British Virgin Islands
Posted
Salary Range
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Clipboard Health logo

Account Manager - Education

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Location
United States of America
Posted
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Security Operations Manager

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Location
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Posted
Salary Range
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Senior Product Manager - Consumer Insights

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Senior Program Manager

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Product Marketing Manager, Platform

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Leadtech logo

AI Product Manager (Remote)

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Lead Event Manager

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Apollo.io logo

Engineering Manager - Growth (Activation)

Apollo.io

Job Summary

As an Engineering Manager at Apollo.io, you will lead a team focused on improving activation metrics, onboarding, feature adoption, and user engagement. You will work at the intersection of engineering, product, and data to build experimentation-driven solutions that enhance user retention and drive business impact. Your responsibilities include defining and driving activation strategies, managing and scaling a high-performing team, guiding technical direction, and working cross-functionally with Product, Design, and Data teams. With 8+ years of software engineering experience and 3-5 years of engineering management experience, you will be expected to have a growth engineering mindset, technical depth in backend or full-stack development, and strong cross-functional collaboration skills. You will also need to communicate effectively with customers and stakeholders, ensuring that activation issues are addressed efficiently. Apollo.io offers flexible remote work options, a fast-scaling environment, and the opportunity to thrive as part of a talented team.

Your Role & Mission

As an Engineering Manager, Growth (Activation) at Apollo.io, you will lead a team focused on improving activation metrics, onboarding, feature adoption, and user engagement. You will work at the intersection of engineering, product, and data to build experimentation-driven solutions that enhance user retention and drive business impact.

Your responsibilities will include:

  • Defining and driving activation strategies to improve key growth metrics such as onboarding completion rates, feature adoption, and product engagement.

  • Managing and scaling a high-performing team of engineers (5-8, with plans to grow).

  • Guiding technical direction for A/B testing frameworks, experimentation platforms, and long-term foundational projects.

  • Working cross-functionally with Product, Design, and Data teams to develop and execute impactful growth initiatives.

  • Ensuring team alignment with business goals, shielding engineers from distractions while fostering a culture of ownership, learning, and execution speed.

  • Communicating effectively with customers and stakeholders, ensuring that activation issues are addressed efficiently.

What We Look For

  • 8+ years of software engineering experience with a track record of leading impactful projects.

  • 3-5 years of engineering management experience, preferably leading senior engineers and managers in a fast-paced environment.

  • Growth engineering mindset with experience in improving Activation metrics through experimentation, A/B testing, and data-driven decision-making.

  • Technical depth in backend or full-stack development, with proficiency in Ruby, Python, and data-driven architectures.

  • Experience with activation, onboarding, and feature adoption initiatives in B2B SaaS products.

  • Strong cross-functional collaboration skills, working closely with Product and Data teams to execute growth strategies.

  • Startup experience or the ability to thrive in a fast-scaling, high-ownership environment.

Nice to Have

  • Experience with React, MongoDB, SQL, Elasticsearch, and data platforms like Snowflake, Databricks, and Airflow.

  • Hands-on experience leveraging AI tools for software development efficiency.

Understanding of data privacy and security best practices.