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About the Role
Design, build, and operate software that solves complex business problems through thoughtful use of data, AI, and experimentation. Turn ambiguous needs into reliable applications, services, and platforms that support teams across Sales, Marketing, Finance, HR, and related functions. Explore emerging technologies, develop prototypes, and bring promising AI and data science capabilities into production. Partner with engineers, data scientists, and business stakeholders to evaluate technical approaches, define success criteria, and deliver maintainable solutions with measurable impact. Independently lead substantial technical projects, contribute to system design and engineering standards, and provide guidance to other engineers.
Responsibilities
- Own software delivery from problem definition through production.
- Translate business needs into technical requirements, designs, and implementation plans.
- Build, deploy, and maintain solutions, taking responsibility for their ongoing performance and reliability.
- Design maintainable systems with clear interfaces, appropriate abstractions, and reusable code.
- Apply AI and machine learning to practical problems by integrating models and AI services into software products.
- Develop prototypes and proofs of concept to test technical feasibility and evaluate emerging tools.
- Build reliable data integrations and pipelines, working with structured and unstructured data.
- Establish metrics for software reliability, performance, AI output quality, and business impact.
- Make sound technical tradeoffs, assessing architecture options, implementation complexity, and operating costs.
- Maintain a high engineering quality bar through readable, tested, and documented code.
- Participate in code and design reviews.
- Use version control, automated testing, and CI/CD practices.
- Operate and improve production systems, diagnosing failures and addressing performance bottlenecks.
- Improve monitoring and recovery processes.
- Incorporate safeguards for sensitive data and AI-enabled workflows.
- Strengthen the team’s technical capabilities by contributing to shared tooling and engineering practices.
- Share findings from experiments and mentor colleagues.
Requirements
- 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.
- Master’s degree in computer science, engineering, or a related technical field, or equivalent practical experience (Preferred).
- Familiarity with MLOps practices - model versioning, monitoring, drift detection, CI/CD for ML (Preferred).
- Experience designing and maintaining dashboards for operational or executive audiences (Preferred).
- Experience presenting analyses to senior technical and non-technical audiences (Preferred).
- Exposure to Sales, Marketing, Finance, or HR analytics domains (Preferred).
Skills
- Python
- SQL
- Software Design
- APIs
- Data Structures
- Automated Testing
- Version Control
- CI/CD
- Cloud-based applications
- Data Pipelines
- Databases
- Integrations
- Applied AI
- Machine Learning
- Statistical Methods
- MLOps
- Dashboard Design
Location
- Remote
Work Type
- Full-time
Experience Level
- Senior
- 5+ years
Education Level
- Bachelor's degree in computer science, engineering, or a related technical field
- Master's degree in computer science, engineering, or a related technical field (Preferred)
About the Company
- ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation.
- Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
Equal Opportunity
- ZoomInfo is committed to protecting your privacy when you apply for jobs with us.
- ZoomInfo may use a software-based assessment as part of the recruitment process.
- 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.