Strategic Customer Solutions Engineer

Doist

San Francisco (CA)

On-site

USD 150,000 - 190,000

Full time

14 days+

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Job summary

Sift is seeking a Customer Solutions Engineer to bridge customers with engineering and product teams. You will own the most complex issues, collaborate with data science and engineering, and drive solutions that maximize value for strategic accounts.

You’ll be the technical voice of the customer across lifecycle, contribute to ML health, and automate data flows. A growth mindset and strong scripting ability are essential for success.

Qualifications

  • 5+ years in a technical customer-facing role.
  • Cross-functional collaboration with data science, engineering and product.
  • Outstanding communication skills; explain complex concepts to developers and non-developers.
  • Growth mindset; eager to learn and apply new skills to challenges.
  • Resourceful and proactive; investigate when something seems off; challenge status quo.
  • Strong experience writing scripts/queries for internal tools and data pulls (SQL, Python, Bash) and APIs/web tech.
  • Able to prioritize and deliver on multiple projects under pressure.

Responsibilities

  • Own the most complex customer issues and act as technical liaison to Enterprise/Strategic accounts.
  • Be the technical point of contact throughout the customer lifecycle, coordinating with Support.
  • Understand customer business/technical needs; document data flows and ensure ML model health.
  • Write scripts/queries to build internal tools and automate processes; improve data workflows.

Skills

Customer-facing
Cross-functional
Communication
Growth mindset
Problem solving
SQL
Python
APIs
Project management

Job description

Sift is seeking a Customer Solutions Engineer to bridge customers with engineering and product teams. You will own the most complex issues, collaborate with data science and engineering, and drive solutions that maximize value for strategic accounts.

You’ll be the technical voice of the customer across lifecycle, contribute to ML health, and automate data flows. A growth mindset and strong scripting ability are essential for success.

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