Senior Software Engineer

About the role

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen fast.

As a Senior Software Engineer, you will design, build, and operate software that solves complex business problems through thoughtful use of data, AI, and experimentation. You will turn ambiguous needs into reliable applications, services, and platforms that support teams across Sales, Marketing, Finance, HR, and related functions.

You will have opportunities to explore emerging technologies, develop prototypes, and bring promising AI and data science capabilities into production. You will partner with engineers, data scientists, and business stakeholders to evaluate technical approaches, define success criteria, and deliver maintainable solutions with measurable impact.

You will independently lead substantial technical projects within your team’s scope, contribute to system design and engineering standards, and provide guidance to other engineers. Success requires sound engineering judgment, comfort with uncertainty, and the ability to balance experimentation with dependable delivery.

What You’ll Do:

- Own software delivery from problem definition through production. Translate business needs into technical requirements, designs, and implementation plans; build, deploy, and maintain solutions; and take responsibility for their ongoing performance and reliability.

- Design maintainable systems. Build applications, APIs, services, and data processing components with clear interfaces, appropriate abstractions, and reusable code.

- Apply AI and machine learning to practical problems. Partner with data scientists and other specialists to integrate models, AI services, and analytical capabilities into software products and business workflows.

- Explore and validate new approaches. Develop prototypes and proofs of concept, test technical feasibility, and evaluate emerging tools and techniques. Use evidence to recommend whether to advance, revise, or discontinue an approach.

- Build reliable data integrations and pipelines. Work with structured and unstructured data, establish data quality checks, and develop components that support applications, analytics, and model inference.

- Define and measure success. Establish metrics for software reliability, performance, AI output quality, and business impact. Use experiments and statistical analysis where appropriate to evaluate outcomes and guide improvements.

- Make sound technical tradeoffs. Assess architecture options, implementation complexity, operating costs, and build-versus-buy decisions. Communicate recommendations clearly to technical and non-technical partners.

- Maintain a high engineering quality bar. Write readable, tested, and documented code; participate in code and design reviews; and use version control, automated testing, and CI/CD practices.