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Technical Program Manager
Company | Entrata |
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Location | Lehi, UT, USA |
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Salary | $107800 – $172500 |
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Type | Full-Time |
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Degrees | Bachelor’s, MBA |
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Experience Level | Senior |
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Requirements
- Bachelor’s degree in Computer Science, Engineering, Business, Law, or a related field.
- 5+ years of experience in product management or related roles within the software industry.
- Strong understanding of software development methodologies, particularly Agile/Scrum.
- Exceptional written and verbal communication skills; ability to simplify complex ideas for a variety of audiences.
- Experience working with enterprise customers and navigating complex software purchasing processes.
- Demonstrated success in managing and launching software products at scale.
- Strong analytical skills and a data-driven approach to decision-making.
- Experience collaborating with cross-functional, geographically distributed teams.
Responsibilities
- Lead strategic initiatives by supporting cross-functional project execution across Product, Engineering, Design, Marketing, and Sales teams.
- Serve as an SME and escalation point for customers, internal stakeholders, and product teams.
- Conduct market research, competitor analysis, and customer feedback reviews to identify new product opportunities.
- Help prioritize and manage the product backlog, using data to make high-impact decisions that align with business goals.
- Contribute to writing and maintaining detailed product requirements, user stories, and documentation for globally distributed development teams (U.S. and India).
- Ensure alignment across departments to support enterprise customer needs and long-term product strategy.
- Monitor product performance and user behavior to identify improvement opportunities and drive enhancements.
- Stay current on industry trends, emerging technologies, and best practices to maintain product competitiveness.
Preferred Qualifications
- 2+ years of hands-on experience as a software engineer or in a technical role.
- MBA or other advanced degree.
- Experience working with Data Science teams or building products that leverage large-scale data sets.