Customer-Focused Solutions Engineer

people-culture-talent

San Francisco (CA)

On-site

USD 150,000 - 210,000

Full time

14 days+
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Job summary

People Culture Talent is seeking engineers who thrive at the intersection of product, engineering, and customer success. You will work directly with customers to understand technical requirements, design and deploy solutions, and build robust data pipelines and APIs.

You will collaborate across engineering, product, sales, and customer teams to ensure successful deployments and scalable outcomes. Ideal candidates bring a strong software engineering foundation, comfort with ambiguous

Qualifications

  • Strong software engineering foundation.
  • Ability to quickly understand unfamiliar systems and codebases.
  • Strong problem-solving skills in ambiguous situations.
  • Excellent communication with technical and non-technical stakeholders.

Responsibilities

  • Partner with customers to understand requirements and workflows.
  • Design, build, and deploy solutions using core technology.
  • Develop integrations, APIs, data pipelines, or custom solutions.
  • Collaborate with engineering, product, sales, and customer teams on deployments.
  • Debug complex issues across customer and product environments.
  • Translate customer needs into product and engineering insights.
  • Develop reusable tools, infrastructure, and best practices for scalable deployments.
  • Serve as a trusted technical partner throughout implementation.

Skills

software engineering
unfamiliar systems
problem solving
communication skills
customer oriented
coding & architecture
customer collaboration

Job description

People Culture Talent is seeking engineers who thrive at the intersection of product, engineering, and customer success. You will work directly with customers to understand technical requirements, design and deploy solutions, and build robust data pipelines and APIs.

You will collaborate across engineering, product, sales, and customer teams to ensure successful deployments and scalable outcomes. Ideal candidates bring a strong software engineering foundation, comfort with ambiguous

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