Senior Solutions Engineer

May 21

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Logo of Sift

Sift

Machine Learning • Software as a Service (SaaS) • Fraud Detection • Predictive Analytics • Big Data

201 - 500

Description

• As a Solutions Engineer at Sift, you are the bridge between the customer-facing team and the engineering and product teams. • You explain complex ideas to customers and relay customer needs to engineering and product. • When a customer’s needs and our product don’t fully align, you’re the internal customer advocate who drives critical solution changes and refinements to our offerings. • You’ll partner closely with our Technical Account Management and Support Engineering teams to onboard Enterprise accounts. • You will be the customer’s technical point of contact throughout their relationship with Sift. • You will apply your deep technical and customer knowledge to help iterate on and improve internal and external processes.

Requirements

• Minimum 5 years in a technical customer-facing role. • Proven ability to collaborate closely with data science, engineering and product teams. • Exceptional communication skills, with the ability to communicate complex technical and business concepts to both developers and non-developers. • Creative, coachable, collaborative, goal-oriented, and thoughtful. • Strong work ethic and a commitment to excellence. • Growth mindset with a passion for learning new skills and applying them to technical challenges. • Resourceful and proactive approach; willing to investigate anomalies and challenge the status quo. • Experience in writing scripts for building internal tools (e.g., Bash scripting, Python, Ruby) and familiarity with APIs and web technologies. • Ability to prioritize, and deliver on multiple projects simultaneously; you thrive under pressure and enjoy clarifying ambiguous situations. • Bonus: experience in the B2B payments and/or fraud space.

Benefits

• Competitive total compensation package • 401k plan • Medical, dental and vision coverage • Wellness reimbursement • Education reimbursement • Flexible time off

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