Staff Software Engineer, Product

Remote in San Francisco, CA, US • Posted 4 days ago • Updated 11 hours ago
Full Time
On-site
USD $240,000.00 - 250,000.00 per year
Fitment

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Job Details

Skills

  • Operating Systems
  • Customer Relationship Management (CRM)
  • Marketing
  • Value Engineering
  • Web Performance Optimization
  • Recruiting
  • Reporting
  • Node.js
  • TypeScript
  • Database
  • MongoDB
  • PostgreSQL
  • Amazon Web Services
  • Dimensional Modeling
  • Startups
  • Product Design
  • Collaboration
  • Teamwork
  • Communication
  • Problem Solving
  • Artificial Intelligence
  • IPO

Summary

Staff Backend Engineer (PLG / Data Pipelines / Reliability)

Location: Remote (U.S. or Canada)
Compensation: $240,000-$250,000 base (estimated) + meaningful pre-IPO equity

About Our Client

Our client is building an AI-native operating system for local businesses-starting 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.

They've 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 You'll Own

Our client's 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 they're losing money online-website 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 you'll 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: Node.js, TypeScript
  • Databases: MongoDB, PostgreSQL
  • Infrastructure & Observability: AWS, Datadog, Temporal

What You'll Do
  • Own backend services and data pipelines end-to-end-from 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 collaboration-product/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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90984190
  • Position Id: 5f238e0ab4b7f13331cb6f04a9d07d4b
  • Posted 4 days ago
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