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.
- Operate and improve production systems. Diagnose failures, address performance bottlenecks, and improve monitoring and recovery processes. Incorporate appropriate safeguards for sensitive data and AI-enabled workflows.
- Strengthen the team’s technical capabilities. Contribute to shared tooling and engineering practices, share findings from experiments, and mentor colleagues through design discussions, code reviews, and collaborative problem-solving.
The information in this job description represents a summary of the role and is not intended to be a comprehensive list of job duties. Responsibilities and duties of the position may change without notice at the Company’s discretion.
What You Bring:
- Bachelor’s degree in computer science, engineering, or a related technical field, or equivalent practical experience.
- 5+ years of professional software engineering experience, including substantial ownership of software deployed and maintained in production.
- Demonstrated ability to independently deliver complex technical projects, navigate ambiguous requirements, and make thoughtful design and implementation decisions.
- Strong proficiency in Python and SQL, with experience building maintainable software beyond exploratory scripts or notebooks.
- Solid understanding of software design, APIs, data structures, automated testing, version control, and CI/CD.
- Experience building and operating cloud-based applications, services, or data-intensive systems, including troubleshooting production issues and improving reliability.
- Experience working with data pipelines, databases, and integrations, with attention to data quality, performance, and access controls.
- Working knowledge of applied AI, machine learning, or statistical methods, including how to evaluate their suitability, limitations, and performance in a software solution.
- Ability to explain technical decisions and tradeoffs, collaborate across disciplines, and provide constructive guidance to other engineers.
Preferred Qualifications
- Master’s degree in computer science, engineering, or a related technical field, or equivalent practical experience.
- Familiarity with MLOps practices - model versioning, monitoring, drift detection, CI/CD for ML.
- Experience designing and maintaining dashboards for operational or executive audiences.
- Experience presenting analyses to senior technical and non-technical audiences.
- Exposure to Sales, Marketing, Finance, or HR analytics domains.
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Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.
In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.
About us:
ZoomInfo (NASDAQ: GTM), the all-in-one AI GTM platform, enables sales, marketing, and customer success teams to execute their go-to-market strategy with confidence. Powered by the industry's most comprehensive B2B data, including more than 100 million companies, 500 million contacts, and billions of signals, ZoomInfo delivers the intelligence, automation, and integrations that modern revenue teams need to identify, engage, and convert their best buyers.
ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.
ZoomInfo Toronto, Ontario, CAN Office
20 Bay Street, Toronto, Canada, M5J 2N8
