Staff Software Engineer, Product

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profile Job Location:

San Francisco, CA - USA

profile Monthly Salary: $ 240000 - 250000
Posted on: 4 hours ago
Vacancies: 1 Vacancy

Job Summary

Staff Backend Engineer (PLG / Data Pipelines / Reliability)

Location: Remote (U.S. or Canada)
Compensation: $240000$250000 base (estimated) meaningful pre-IPO equity

About Our Client

Our client is building an AI-native operating system for local businessesstarting with restaurants. Their platform replaces the patchwork of tools owners use to run the business (website online ordering CRM marketing and more) and is designed to work agentically: instead of making owners do the work to grow revenue and profit the software does the work for them.

Theyve achieved significant traction since 2020 generating tens of millions in revenue and processing over a billion dollars in online orders. Their product is used by tens of thousands of restaurant owners and has helped save owners significant fees. The team is in the low hundreds and continues to scale.

The Product Youll Own

Our clients free restaurant health report product is one of their most visible and fastest-growing offerings. A restaurant submits their URL and receives a clear view into where theyre losing money onlinewebsite performance Google presence menu quality and more. New AI-powered scoring capabilities are launching on top of it and the backend needs to be fast resilient and built to scale.

The Role

Our client is hiring a Senior Backend Engineer to own the backend services and pipelines powering this health report end-to-end. This is a high-ownership role where youll harden the platform before major expansion establish foundational architecture patterns and partner closely with product-led growth and AI teams as the product evolves.

Tech Stack

  • Backend: TypeScript
  • Databases: MongoDB PostgreSQL
  • Infrastructure & Observability: AWS Datadog Temporal

What Youll Do

  • Own backend services and data pipelines end-to-endfrom ingesting third-party presence signals (e.g. Google Yelp menus LLM GEO signals) to serving results reliably at scale
  • Harden the platform for expansion: reduce latency improve uptime and build the observability/alerting layer needed to scale confidently
  • Establish platform foundations: shared abstractions operational runbooks and architectural patterns that reduce toil and enable other engineers to build faster
  • Partner with PLG product and AI/agents teams as the product expands into new scoring dimensions and AI-powered capabilities

What Our Client Is Looking For

  • 7 years of experience including meaningful ownership of production backend services
  • Experience building and operating data pipelines third-party integrations and async processing systems at scale
  • Proven track record improving reliability: observability alerting incident reduction and making operational health a team habit
  • Experience in product-focused startup/scale-up environments with end-to-end ownership
  • Strong cross-functional collaborationproduct/design/business partners would vouch for your teamwork
  • High ownership excellent communication and a proactive approach to identifying and solving problems

Why This Role

  • Own the backend of a highly visible PLG product at meaningful scale
  • Build platform foundations before a major expansion (architecture observability runbooks reliability)
  • Work at the intersection of data pipelines integrations and AI-powered scoring systems
  • Remote-first role with strong compensation and equity upside

Compensation & Benefits

  • Estimated base salary: $240K$250K (dependent on level location experience) generous pre-IPO equity
  • Comprehensive health coverage
  • Remote-first workplace / work from anywhere
  • Unlimited PTO additional perks

Required Experience:

Staff IC

Staff Backend Engineer (PLG / Data Pipelines / Reliability)Location: Remote (U.S. or Canada)Compensation: $240000$250000 base (estimated) meaningful pre-IPO equityAbout Our ClientOur client is building an AI-native operating system for local businessesstarting with restaurants. Their platform repla...
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