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Customer Solutions Engineer
Sift · San Francisco, United States
About The Role
Join Sift as a Customer Solutions Engineer, where you'll be the bridge between the customer-facing team and the engineering and product teams. You'll explain complex ideas to customers, relay customer needs to engineering and product, and drive critical solution changes. You'll own the most complex customer issues, support the customer lifecycle, and automate and optimize internal and external processes. This role requires outstanding communication skills, a strong technical background, and a proactive, resourceful mindset.
- Establishing a strong understanding of customers' business problems, technical requirements, and success criteria to empower them to solve complex business problems.
- Acting as the internal customer advocate to drive critical solution changes and refinements to the company's offerings when customer needs and product offerings do not fully align.
- Collaborating closely with the Customer Success Management team as the technical liaison to Enterprise/Strategic accounts, ensuring they maximize the value of the company's products and services.
- Ability to prioritize, and deliver on multiple projects in tandem. You thrive under pressure and enjoy clarifying ambiguous situations
- Outstanding communication skills, including the ability to communicate complex technical and business concepts to developers and non-developers
- You are resourceful and proactive. If something seems strange, you’ll investigate. You are not afraid of challenging the status quo
- Close cross-functional collaboration with data science, engineering and product
- 5+ years in a technical customer-facing role
- Bonus points for experience in the B2B payments and/or fraud space
- Creative, coachable, collaborative, goal-oriented, and thoughtful. You have a strong work ethic and are committed to excellence
- You have a growth mindset - you enjoy learning new skills, and applying it to technical challenges
- Strong experience writing scripts and queries to build internal tools and data pulls (For example: SQL, Python, Bash scripting) and comfort with APIs and web technologies
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