Sales & Implementation Engineer
Remote
Engineering – General /
Full Time /
Remote
Provi is looking to fuel its growth by hiring a Sales & Implementation Engineer to work alongside the engineering and businesses teams bringing Provi to new customers. We are looking for someone who is accustomed to working with customer’s complex data to integrate and close large deals. In this role, you will work directly with the sales team to understand the needs of our customers and bring Provi to the distributors’ retailer audience. We have phenomenal customer interest and are looking for you to help bring Provi to even more customers and retailers.
What you’ll be doing
- Collaborate with the sales team to understand distributor requirements and provide sales support
- Collaborate with distributors to assess their needs and determine solution requirements - understanding existing capabilities and identifying need for new solutions
- Act as the main point of contact for the Provi project implementation team and work with the distributor to drive their required implementation tasks to completion
- Assist Provi’s engineering team in setting up API permissions, roles, products, and implementation needs
- Assist in the response of any technical and how-to questions from the distributor
- Identify opportunities for Engineering to streamline and scale integrations
- Escalate any issues delaying the go-live date to the executive management team with plan to mitigate delay if appropriate
- Transition the distributor to Account Management once the customer has launched
- Balance and prioritize multiple distributor integrations in tandem at various stages of the integration lifecycle
On day one you’ll expect to have:
- Minimum 5 years of experience working with customers in a pre-sales or post-sales technical role
- Understanding and experience with data architecture, data analytics and cloud technology
- Hands on experience with cloud data warehouse and data lake platforms
- Hands on experience with SQL
- Hands on experience with Python preferred
- Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git) a plus
- Customer-facing skills to effectively communicate our vision to a wide variety of technical and executive audiences
- University degree in computer science, engineering, mathematics or related fields, or equivalent experience.
