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Sales Systems Product Manager
Job in
Myrtle Point, Coos County, Oregon, 97458, USA
Listed on 2025-12-08
Listing for:
ServiceTitan
Full Time
position Listed on 2025-12-08
Job specializations:
-
IT/Tech
Data Analyst -
Business
Data Analyst
Job Description & How to Apply Below
Employer Industry: Software Development (SaaS)
Why consider this job opportunity:
- Salary range between $124,400 USD - $166,400 USD
- Opportunity for career advancement with comprehensive onboarding and leadership training programs
- Flexible time off and support for autonomous work
- Holistic health and wellness benefits, including company-paid medical, dental, and vision
- Unique support for life stages, including parental leave, fertility services, and pet insurance
- Collaborative and inclusive company culture that values diverse perspectives
- Lead efforts to streamline and automate sales processes using data-driven decision-making
- Collaborate with sales leaders to define and champion the business vision for sales-centric platforms
- Analyze and document sales workflows to identify areas for efficiency and automation
- Manage a backlog of sales process improvements, ensuring alignment with overall sales strategy
- Conduct User Acceptance Testing (UAT) to ensure solutions meet business needs
- Bachelor’s degree in Computer Science, Information Systems, Business Administration, or a related field
- 7+ years of relevant experience in SaaS business operations or product management supporting sales
- Proven experience in creating process maps and writing clear technical user stories
- Deep understanding of Salesforce Sales Cloud and related platforms, including basic configuration skills
- Strong project management and organizational skills with the ability to prioritize effectively
- Experience with sales analytics tools and proficiency with Salesforce reporting and dashboards
- Familiarity with Agile tools like Jira or Azure Dev Ops for managing backlogs and sprints
- Exceptional data literacy with the ability to analyze sales performance data and identify trends
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