Product Specialist Jobs in Bangalore - UrbnaPiper
Job Description
We are looking for Product Specialists who would be responsible for working with Account Managers and Project Managers handling restaurant brands from kickoff to launch. The Product Specialist plays a crucial role in setting up the CRM for restaurants, configuring their menu and testing the workflow of order relay.
You will:
Understand the product in-depth.
Work with the Account Managers and Project Managers to onboard restaurants on the platform.
Help navigate customers through the deployment and onboarding process.
Provide demos to customers on the products and tools they would be using.
Document accurate and complete customer details in our CRM software.
Identify areas for process improvement or gaps in existing documentation and document/share learnings with the team.
Work in tandem with the Operations Management team to ensure a seamless transition following customer launch.
We are looking for someone who has:
An ability to clearly and tactfully articulate problems and resolutions.
Analytical thinking.
Great attention to detail.
The capability of working independently and collaborating cross-functionally.
Good proficiency with spreadsheets.
Ability to solve problems by utilizing available tools/resources.
Self-motivation and quick learning skills.
Nice to haves:
Worked in a fast-paced environment.
Experience with Freshdesk, Github, Postman, and Kibana.
Job Particulars
About Company
UrbanPiper offers an integration layer that powers the operational efficiency of 1000’s of restaurants across India for selling online through their own white-labeled platform or any of the leading food aggregator platforms — Swiggy, Zomato, UberEats, Foodpanda, Scootsy, etc.
At present, we are processing nearly 2 million transactions every month. By the end of this year, we will be growing this number to 10 million. The most defining aspects of our work related to — consistency, reliability, scalability and agility. We make use of a wide variety of technologies and process significantly large amounts of data on a daily basis.