Senior Director Product Operations - Remote
Santa Clara, CA, United States
Company Description
PayNearMe develops technology to facilitate the end-to-end customer payment experience, making it easy for businesses to accept, disburse and manage payments. Our modern and reliable platform lowers the total cost of payments by increasing acceptance rates, driving self-service and simplifying exceptions. We future-proof our clients’ payments roadmap by including all payment types and channels through a single contract and integration. With PayNearMe, businesses can transform the outdated systems holding them back from achieving progress.
PayNearMe has over 200 employees, closed a $45M Series D round in June 2023, and is processing over $1B in payments monthly. We’re headquartered in Silicon Valley with our employees distributed all across the U.S. Help us solve our clients’ biggest payment problems.
As the Senior Director of Product Operations, you will be a key driver of growth and scalability at PayNearMe. Reporting to the Head of Product, you will oversee the operational aspects of the product development lifecycle, ensuring efficient processes, effective team management, and successful product releases. Your role will also focus on building, developing, and mentoring a high-performing team, fostering a culture of continuous improvement. Your strategic leadership will be crucial in aligning processes with business goals, promoting team growth, and maintaining high standards of excellence to achieve our company’s objectives.
Job Description
Process Creation and Optimization:
- Develop and optimize end-to-end product development processes, ensuring efficiency and alignment with business goals.
- Define overarching playbook of functions and activities to be orchestrated as part of product launches, and standardize business processes, such as planning, product enablement and driving adoption, roadmap execution and reporting to facilitate and support product development.
- Develop, implement and continuously refine best practices, continuing education to improve product lifecycle management efficiency and effectiveness.
Data-Driven Decision Making:
- Define key performance indicators (KPIs) for product operations and establish mechanisms for tracking and reporting.
- Analyze KPI data to identify areas for improvement and make data-driven decisions to optimize product processes.
- Support Product Management with data and analytic insights required to drive product adoption outcomes, improve product design/features, and keep a pulse on product health.
Product tooling management:
- Define, implement, and manage the product management tool stack: roadmap development, task/project management, customer and user feedback, product analytics, product performance monitoring, experimentation, knowledge base, etc.
Team Collaboration and Growth:
- Lead a high-performing product operations team, fostering a culture of collaboration, innovation, and continuous improvement.
- Setup and manage Product Management training and onboarding programs to …
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13 scheduled holidays Base salary Base salary per year Communication expense stipend Company-sponsored life and disability insurance Flexible time off Holidays In-person team meet-ups Life and Disability insurance Medical benefits Paid parental bonding leave Paid Sick Leave Paid sick leave, jury duty, bereavement Premium medical benefits Professional development opportunities Reimbursement for peripheral equipment Scheduled holidays Stock options Team meet-ups Volunteer time off WFH setup reimbursement
Tasks- Optimize processes
Agile Agile methodologies Communication Cross-functional Collaboration Data analysis Go Integration Interpersonal Jira KPI development Mentorship Monitoring Optimization Payments Problem-solving Process Optimization Product lifecycle management Product Management Product management tools Product Operations Project Management Team Leadership Training
Experience10 years
Education TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9