Customer Engineer
Mid-level Solutions & Sales Engineering role at People Culture Talent. San Francisco · full-time · $89,000–$205,000 base.
Growth Roles summary, based on the employer's posting.
What you'll do
- Design, launch, and refine solutions for customers’ technical setups and business goals
- Guide customer engineering teams through difficult implementation and integration work
- Support onboarding, product adoption, and lasting customer outcomes through proactive engagement
- Investigate technical questions and remove integration or deployment blockers
- Spot recurring customer patterns, share them with product, and create useful enablement resources
What you bring
- Experience in solutions or customer engineering, implementation, technical consulting, or developer support
- Working knowledge of APIs, integrations, and modern software architecture
- Background supporting technical customers in complex environments
- Clear communication with audiences ranging from junior engineers to VPs of Engineering
- A habit of identifying recurring issues and owning them through resolution
Who this fits
You’ll suit a customer-facing technical role where you own problems end to end and turn customer insights into product feedback. The team is small, technically demanding, and focused on AI infrastructure for AI platforms and B2B software. This is a full-time hybrid position in San Francisco.
From the employer
Note: We are recruiting on behalf of our valued client. This opportunity is for a position with their organization, not with People Culture Talent. We're excited to help connect talented professionals with this exceptional team!
The Role
We're seeking a Customer Engineer to serve as the technical backbone of our customer relationships, supporting them from initial implementation through long-term success. In this role, you'll work directly with technical customers to design and deploy solutions, tackle complex integration challenges, and ensure they realize meaningful value from our platform. You'll also be a critical link between customers and the product team.
What You’ll Own
Customer Implementations — Design, deploy, and optimize solutions tailored to customers' technical environments and business needs.
Technical Consultation — Serve as a trusted advisor to customer engineering teams as they navigate complex implementation challenges.
Customer Success — Promote onboarding, drive adoption, and ensure long-term success through proactive engagement.
Product Feedback — Recognize trends across customers and communicate insights back to the product team.
Technical Troubleshooting — Investigate and resolve integration issues, implementation barriers, and technical inquiries.
Cross-Functional Collaboration — Partner with engineering, product, and GTM teams to enhance the customer experience.
Documentation & Enablement — Create resources that empower customers and internal teams to operate more efficiently.
What You’ll Bring
Solutions engineering, customer engineering, implementation, technical consulting, or developer support experience
Strong technical foundations — APIs, integrations, and modern software architectures aren't foreign to you
Direct experience working with technical customers in complex environments
Clear communication across a range of audiences — from a junior engineer to a VP of Engineering
A pattern recognition instinct. You notice recurring problems and do something about them
Ownership mindset — you stay with a problem until it's solved
Experience with APIs, integrations, developer tools, or enterprise software is a strong plus
About Our Client
This venture backed AI infrastructure company is developing the connectivity layer that enables AI platforms and B2B software to take meaningful action within the systems businesses rely on. The founding team brings experience from Google, Meta, and AWS. The team is small, retention rates are exceptional, and the technical standards are high. This is an excellent opportunity for professionals who are excited about meaningful ownership and the chance to help shape the future of collaboration between businesses and AI.
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