Company
SaaS
Backend-LeaningProductEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Backend-Leaning Product Engineer. Skills: Backend engineering, Product development, Customer-facing features. Own features end-to-end. Design features”
What You'll Achieve.
Shipping real products
Industry & Context.
Debugging production issues; Engineering judgment
No visa sponsorship
What They're Looking For.
Must Have
Backend-focused software engineering, Hands-on experience designing features, Hands-on experience implementing features, Hands-on experience shipping features, Ownership of full feature lifecycle, Track record of shipping products, Cross-functional collaboration skills, Communication skills, Legally eligible to work in US, Based in San Francisco, Willing to hybrid/in-office presence
Nice to Have
Experience with applied AI, Experience with agentic workflows, Experience with RAG pipelines, Experience with LLM-enabled features, Python proficiency, Systems integration experience, Early-stage startup experience, Founding engineer background
What You'll Do.
Own features end-to-end
Build backend systems
Maintain backend systems
Build automation pipelines
Maintain automation pipelines
Integrate with external tools
Integrate with legacy systems
Integrate with third-party services
Debug production issues
Exercise engineering judgment
Balance full-stack work
How You'll Work.
Team & Collaboration
Cross-functional stakeholders; Founders; Customers
Full Job Description
ABOUT THE ROLE Join a small, high-ownership product team at an early-stage B2B SaaS startup as a backend-leaning product engineer. You'll own customer-facing features end-to-end, navigate messy integrations and legacy systems, and make product and engineering trade-offs with speed and strong judgment. This is a role for someone who thrives in ambiguity, moves fast, and cares deeply about shipping real products that customers use. WHAT YOU'LL DO - Own features end-to-end — from design through shipping and iteration — with minimal PM oversight. - Build and maintain backend systems, APIs, data models, and automation pipelines. - Integrate with external tools, legacy systems, and third-party services. - Design workflows and orchestration for AI/automation-driven product features. - Debug production issues and exercise strong engineering judgment under pressure. - Collaborate closely with founders, customers, and cross-functional stakeholders in a hybrid San Francisco setting. - Balance full-stack work when required, with a clear emphasis on backend ownership. WHAT WE'RE LOOKING FOR Required: - Backend-focused software engineering with hands-on experience designing, implementing, and shipping customer-facing features. - Demonstrated ownership of the full feature lifecycle — ideation, implementation, and iteration based on customer feedback. - Track record of shipping real products, ideally in 0-to-1 or ambiguous, fast-moving environments. - Strong cross-functional collaboration and communication skills. - Must be legally eligible to work in the US without employer sponsorship. - Based in San Francisco or willing to relocate; hybrid/in-office presence required. Nice to Have: - Experience with applied AI, agentic workflows, RAG pipelines, or LLM-enabled features. - Python proficiency (modern web/backend stacks considered — engineering quality matters more than specific stack). - Systems integration experience with external APIs and legacy platforms. - Early-stage startup e
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