Offer summary

Qualifications:

7+ years of experience in software engineering, with at least 3+ years in a leadership role., Proven expertise in data engineering, automation, and AI/ML development., Proficient in modern data platforms like AWS/Azure, Snowflake, and Databricks., Strong programming skills in Python, Java, or Scala, and experience with orchestration tools..

Key responsabilities:

Manage and mentor a team of engineers, fostering a culture of innovation and collaboration.

Provide guidance on designing and building scalable data pipelines and AI/ML models.

Translate business objectives into technical solutions and ensure timely project delivery.

Collaborate with product managers and stakeholders to align engineering priorities with business goals.

Job description

Flexera saves customers billions of dollars in wasted technology spend. A pioneer in Hybrid ITAM and FinOps, Flexera provides award-winning, data-oriented SaaS solutions for technology value optimization (TVO), enabling IT, finance, procurement and cloud teams to gain deep insights into cost optimization, compliance and risks for each business service. Flexera One solutions are built on a set of definitive customer, supplier and industry data, powered by our Technology Intelligence Platform, that enables organizations to visualize their Enterprise Technology Blueprint™ in hybrid environments—from on-premises to SaaS to containers to cloud.

We’re transforming the software industry.  We’re Flexera.  With more than 50,000 customers across the world, we’re achieving that goal. But we know we can’t do any of that without our team. Ready to help us re-imagine the industry during a time of substantial growth and ambitious plans?  Come and see why we’re consistently recognized by Gartner, Forrester and IDC as a category leader in the marketplace. Learn more at flexera.com

Role Overview:
We are seeking a dynamic and experienced Engineering Manager to lead our team in building and scaling Data Intelligence Services. This role requires expertise in data engineering, automation, and AI/ML, combined with strong leadership and project management skills. The ideal candidate will thrive in a fast-paced environment, driving the development of cutting-edge solutions while mentoring a talented team of engineers.

Key Responsibilities:

Team Leadership: Manage and mentor a team of engineers, fostering a culture of innovation, collaboration, and excellence.
Technical Oversight: Provide guidance on designing and building scalable, reliable data pipelines, automation frameworks, and AI/ML models.
Strategic Execution: Translate high-level business objectives into technical solutions and ensure the timely delivery of projects.
Collaboration: Partner with product managers, architects, and stakeholders to align engineering priorities with business goals.
Innovation: Drive the adoption of new tools, technologies, and best practices to maintain a competitive edge in data intelligence.
Databricks Expertise: Leverage Databricks for building data pipelines, running machine learning workflows, and optimizing data transformation processes at scale.
Flexible Work Hours: Be available for evening meetings or collaboration, as the senior leadership team is based in the USA.

Qualifications:

Experience:
- 7+ years of experience in software engineering, with at least 3+ years in a leadership role.
- Proven expertise in data engineering, automation, and AI/ML development.
Technical Skills:
- Proficient in modern data platforms (e.g., AWS/Azure data services, Snowflake, Databricks).
- Strong programming skills (e.g., Python, Java, or Scala) and experience with orchestration tools (e.g., Airflow).
- Experience with machine learning tools such as MLflow, H2O.ai, or Google Vertex AI for deploying and managing machine learning models.
- Knowledge of CI/CD pipelines, DevOps practices, and automation frameworks.
Leadership Skills:
- Experience in hiring, mentoring, and managing diverse engineering teams.
- Ability to lead cross-functional initiatives with a focus on impact and scalability.
Soft Skills:
- Strong problem-solving, communication, and decision-making abilities.
- Comfortable working in a global, distributed team environment.

Flexera is proud to be an equal opportunity employer.  Qualified applicants will be considered for open roles regardless of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by local/national laws, policies and/or regulations. 

Flexera understands the value that results from employing a diverse, equitable, and inclusive workforce. We recognize that equity necessitates acknowledging past exclusion and that inclusion requires intentional effort. Our DEI (Diversity, Equity, and Inclusion) council is the driving force behind our commitment to championing policies and practices that foster a welcoming environment for all.

We encourage candidates requiring accommodations to please let us know by emailing careers@flexera.com.

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