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.
As a Senior Software Engineer, you will play a key role in designing and building the foundational data infrastructure and APIs that power our analytics, machine learning, and product features. You’ll be responsible for developing scalable data pipelines, managing cloud-native data platforms, and creating high-performance APIs using FastAPI to enable secure, real-time access to data services. This is a hands-on engineering role with opportunities to influence architecture, tooling, and best practices across our data ecosystem.
Daily Adventures and Responsibilities- Architect and build robust, scalable data pipelines (batch and streaming) to support a variety of internal and external use cases
- Develop and maintain high-performance APIs using FastAPI to expose data services and automate data workflows
- Design and manage cloud-based data infrastructure, optimizing for cost, performance, and reliability
- Collaborate closely with software engineers, data scientists, analysts, and product teams to translate requirements into engineering solutions
- Monitor and ensure the health, quality, and reliability of data flows and platform services
- Implement observability and alerting for data services and APIs (think logs, metrics, dashboards)
- Continuously evaluate and integrate new tools and technologies to improve platform capabilities
- Contribute to architectural discussions, code reviews, and cross-functional projects
- Document your work, champion best practices, and help level up the team through knowledge sharing
- Excellent communication skills to work with engineering, product, and business owners to develop and define key business questions and build data sets that answer those questions.
- Self-motivated and self-directed
- Inquisitive, able to ask questions and dig deeper
- Organized, diligent, and great attention to detail
- Acts with the utmost integrity
- Genuinely curious and open; loves learning
- Critical thinking and proven problem-solving skills required
- Proven experience leveraging AI tools to enhance software development processes, including code generation, debugging, and productivity optimization.
- Candidates should demonstrate fluency in integrating AI-driven solutions into their workflows and a willingness to stay current with emerging AI technologies
Required:
- 5+ years experience in platform engineering, data engineering or in a data facing role
- Experience in building data applications
- Deep knowledge of data eco system with an ability to collaborate cross-functionally
- Bachelor's degree in a quantitative field (Physical / Computer Science, Engineering or Mathematics / Statistics)
Preferred:
- Experience using the Python data stack
- Experience deploying and managing data pipelines in the cloud
- Experience working with technologies like Airflow, Hadoop and Spark
- Understanding of streaming technologies like Kafka, Spark Streaming
The listed Pay Range reflects base salary range, except for sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commission/sales bonus targets and annual base salary for the role. This pay range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.
Additional benefits for this role may include equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits.
Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here.
Why You’ll Love Working at ApolloAt 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.
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.
Learn more here!
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