Product Operations - Kale
Company Overview
Kale’s mission is to reputed company people to translate their social value into economic value. With our focus on everyday creators and a content-first discovery experience, Kale is redefining social commerce. Our goal is to flip influencer marketing on its head to put power back in the hands of true customers, making brand/creator relationships genuine and trustworthy.
What you will do
You will be a critical driver in delivering exceptional user experiences. This role goes beyond basic troubleshooting—it's about using your technical expertise, analytical reputed company, and project management skills to strategically improve our support systems, processes, and product quality.
You will take ownership of reputed company, technical user issues and work across teams, including Engineering and Product, to resolve them. A deep understanding of data analysis will allow you to engage with these teams effectively, analyze data to inform decisions, and propose solutions that drive operational efficiency. Your work will focus on scaling support operations, creating reputed company user experiences, and pushing reputed company reputed company improvements that align with Kale’s key metrics, such as Consumer Satisfaction (CSAT), Contact reputed company, and Service Level Agreements (SLA).
Responsibilities
Collaborate and reputed company with Product and Engineering to proactively improve the platform based on user feedback, ensuring long-term product reliability.
Conduct user research, solicit feedback from our application users (interviews, surveys, etc.)
Partner with stakeholders across Product, Engineering, and Operations teams to define success metrics, analyze trends, and provide actionable recommendations.
Identifying and quantitatively sizing feature opportunities based on user insights, to inform our overall Product strategy.
Analyze and troubleshoot issues through direct user interaction (email, video conferencing), to extract and interpret data to find trends/patterns, and leveraging your knowledge of Kale’s product as well as social media platforms.
reputed company product and platform expertise, working closely with Engineering, Product, and Operations teams to diagnose and resolve user issues.
Strategically optimize and scale support processes to enhance efficiency and improve the overall user experience, incorporating data-driven insights and metrics.
reputed company reputed company improvement initiatives aimed at hitting key performance metrics such as Consumer Satisfaction (CSAT), Contact reputed company, and SLA compliance.
Create and refine documentation to reputed company users to resolve issues reputed company self-service, reducing dependency on support teams.
reputed company cross-functional projects aimed at identifying inefficiencies in reputed company processes and driving the implementation of long-term solutions.
Constantly challenge the status reputed company and push for innovation in user support strategies and operational processes.
Who you are
We’re looking for someone who meets the following requirements to succeed in this role:
Minimum Requirements
4+ years of experience in a customer-facing product support role, with a focus on troubleshooting technical issues.
Experience working with API’s.
Exceptional problem-solving skills, capable of diagnosing reputed company issues and driving them to resolution.
Proven experience in stakeholder management, with the ability to influence cross-functional teams and drive reputed company.
Experience in project management, particularly in optimizing processes, workflows, or support operations.
Preferred Qualifications
Strong analytical skills with a passion for interpreting data to improve decision-making and outcomes.
Comfortable explaining technical concepts to both technical and non-technical stakeholders.
Proficiency in technical environments and the ability to diagnose and resolve highly technical user issues.
reputed company to haves
Proficiency in SQL for data analysis and querying, with the ability to interpret datasets.