We are seeking a hands-on Manager of CX to establish and evolve the operational foundation for a highly technical, engineer-led support organization.
This role will focus on bringing clarity and structure to complex support workflows, building reliable reporting and metrics, and improving how support insights inform product and engineering decisions. While this role includes strategic ownership of the support operations roadmap, success will come from the ability to operate close to the work, understanding how issues are solved and designing systems that support that reality.
Unlike high-volume support environments, our team handles complex, domain-specific issues that require deep expertise. The ideal candidate is comfortable operating in environments where problems are nuanced, workflows are not fully standardized, and improvements require thoughtful design rather than heavy-handed automation.
We are also beginning to introduce AI-enabled capabilities such as knowledge generation and intelligent intake to support both customers and engineers. This role will help ensure these tools are implemented thoughtfully enhancing, not oversimplifying, complex support workflows.
This role will partner closely with Support, Product, Engineering, Customer Success, and IT to improve visibility, consistency, and effectiveness across the support experience.
Key Responsibilities
Strategy & Planning
- Define and evolve a practical, forward-looking support operations roadmap aligned to company priorities and customer experience goals
- Establish lightweight but effective operating cadences (weekly reviews, performance tracking, issue escalation visibility)
- Balance short-term stabilization needs with longer-term improvements in systems, data, and processes
Systems & Tools (Service Cloud)
- Own the structure and ongoing optimization of Salesforce Service Cloud as the core support platform
- Partner in the implementation and refinement of AI-supported tools (e.g., knowledge generation, chat-based intake) to improve information capture and accessibility without compromising the quality of complex support interactions
- Design and refine case lifecycle, fields, taxonomy, and routing logic to reflect real product issues and support workflows
- Ensure the system remains simple, usable, and adaptable, avoiding unnecessary complexity
- Partner with internal teams and external partners to maintain data integrity and system reliability
Support Workflow & Structure
- Partner closely with support engineers to understand how complex issues are diagnosed and resolved in practice
- Improve case intake, categorization, and routing to better align with product areas and team expertise
- Identify inconsistencies in how work is performed and introduce structure where it adds clarity and value
Metrics & Analytics
- Define and implement a core set of support metrics that reflect both operational health and customer impact
- Build reporting that provides visibility into support demand, trends, backlog, and recurring product or customer pain points
- Translate support activity into actionable insights for Product and Engineering
Enablement & Process Improvement
- Develop clear, practical documentation and playbooks that support consistent execution without over-constraining expert teams
- Explore opportunities to leverage AI to better capture, structure, and surface knowledge from complex support cases
- Identify opportunities to reduce friction in workflows while respecting the complexity of the work
- Introduce improvements incrementally, with a focus on adoption and real impact
Cross-Functional Collaboration
- Act as a bridge between Support, Product, and Engineering to ensure support insights are visible and actionable
- Help establish feedback loops that connect customer issues to product improvements
- Partner with leadership on prioritization of operational and product-related improvements
Leadership & Team Development
- Stand up and scale the Support Operations function, building foundational processes and capabilities to support long-term growth
- Provide clarity, prioritization, and direction in an evolving environment
- Operate as the primary owner of support operations, influencing without authority across experienced teams
- Build, develop, and lead a high-performing team, setting clear expectations, coaching for growth, and fostering a culture of accountability, continuous improvement, and strong business partnership
- Partner closely with Support leadership to align team priorities, capacity, and outcomes to business needs
- Drive cross-functional collaboration by enabling teams with tools, insights, and scalable processes
Qualifications
- 8–10 years of experience in Support Operations, Technical Support, or related roles in a B2B or complex product environment
- Experience building, leading, and developing high-performing teams, including hiring, coaching, and driving ongoing capability development
- Experience working closely with technical support or support engineering teams
- Demonstrated ability to align team priorities, roles, and capacity to evolving business needs, driving clarity and execution
- Demonstrated ability to build structure, reporting, and processes in environments with incomplete or evolving data
- Interest in applying emerging technologies (including AI) to improve support workflows and knowledge management
- Hands-on experience with Salesforce Service Cloud (configuration, workflows, reporting)
- Experience with either Forethought or Agentforce.
- Strong analytical skills with the ability to translate ambiguous data into clear insights and recommendations
- Ability to operate both strategically and tactically
- Some Travel may be required for company meetings and industry events
What Success Looks Like
- Clear, trusted visibility into support demand and performance
- Improved alignment between support work and product/engineering priorities
- More consistent and structured support workflows without reducing effectiveness
- A support system that is understandable, maintainable, and adaptable over time
- Innovative use of modern tools to increase team capacity and improve the customer experience
At Model N, your well-being and growth matter. That’s why we offer a robust total rewards package designed to help you thrive personally and professionally. Our benefits include:
- Unlimited PTO for salaried employees – because flexibility fuels success
- Comprehensive medical, dental, and vision coverage
- Health Savings & Flexible Spending Accounts
- 401(k) with company match to invest in your future
- Volunteer Time Off (VTO) to give back to causes you care about
- Life and pet insurance for peace of mind
- Employee Assistance & Mental Health Programs
- Charitable giving opportunities
- Professional coaching and career development
…and much more.
At Model N we offer fair, equitable and competitive salary ranges for all positions. Compensation varies depending on factors that may include a candidate’s relevant experience, education and/or certifications, location, training, and other skills.
The base salary for this position will be $145,000 - $195,000. If your salary expectations are outside of this range, feel free to apply and discuss your expectations with our recruiters. We are constantly opening up new positions and you might match another opening at a different level.
#LI-MN1
About Model N
Model N is the leader in revenue optimization and compliance for pharmaceutical, medtech, and high-tech innovators. For more than 25 years, we have helped customers maximize revenue, streamline operations, and maintain compliance through cloud-based software, value-added services, and data-driven insights. With a focus on innovation and customer success, Model N empowers life sciences and high-tech manufacturers to bring life-changing products to the world more efficiently and profitably. Model N is trusted by over 150 of the world’s leading companies across more than 120 countries. For more information, visit www.modeln.com.
Equal Opportunity Statement
Model N values diversity at our company and is proud to be an equal opportunity employer. Model N considers qualified applicants without regard to race, ethnicity, religion, creed, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. Please reference https://www.eeoc.gov/employers/eeo-law-poster for more information.
For US applicants, Personal Data processed in connection with candidate evaluation and decision-making, onboarding, and continued employment at Model N will be done in accordance with the Model N HR Privacy Policy found at http://www.modeln.com/applicant-and-employee-privacy-notice/
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
