---
title: 'Platform Engineer at Span'
canonical: 'https://feeny.ai/job/platform-engineer-span-united-states-m8n3cz24whdj'
type: 'job'
last_seen: '2026-10-15'
---

# Platform Engineer at Span

- **Company:** Span
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-24
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.ashbyhq.com/span.app/070905ca-b2e3-4afd-a854-a84d9ea16856

## Job description

## About Span

Span exists to help engineering organizations turn AI adoption into real effectiveness. As AI tools reshape how software gets built, the companies that continuously improve how their teams use AI in their day-to-day will pull ahead. We're the AI-native developer intelligence platform built for that moment. We're looking for people who want to shape how the next generation of high-performing engineering orgs operate. We're a Series A company with a small, focused team that moves fast and ships things that matter. We’re proud to be helping forward-thinking orgs like Ramp, Carvana, Intercom, and OpenTable. We're honored to be backed by dozens of founders, CTOs, and CPOs we admire from Slack, Notion, Rippling, Fivetran, Coda, Adobe, and Square, as well as funds including Alt Capital, BoxGroup, Bling, Craft, and SV Angel.

In this role, you'll: We're looking for someone who gets excited about building the internal platforms, tooling, and systems that help engineering teams move faster, ship more reliably, and spend less time on operational overhead. Some example projects include:

- Build AI-powered platform tooling that identifies the root causes of recurring operational work (KTLO), automates repetitive tasks, and recommends long-term engineering improvements.
- Create an internal developer platform including a software catalog, service ownership model, and engineering portal that teams actually enjoy using, whether they're working in microservices or monoliths.
- Improve developer experience by building workflows, automation, and self-service infrastructure that reduce cognitive load, streamline onboarding, and eliminate common sources of engineering friction.
- Leverage LLMs and AI agents to automate platform operations, incident response, documentation, engineering support, and developer workflows.
- Partner closely with engineering teams to identify platform gaps, improve reliability, and build scalable infrastructure that enables product teams to focus on delivering customer value.

What we're looking for:

- Resourceful engineers who thrive in high-agency, fast-moving environments.
- Experience building platform engineering, developer infrastructure, DevEx, SRE, or internal tooling.
- You've been an early engineering hire, founder, or have built and shipped meaningful side projects from scratch.
- Strong systems thinking with a passion for improving engineering productivity through thoughtful tooling and automation.
- Experience building with LLMs, AI agents, and agentic workflows to solve real engineering problems.
- Comfortable working across infrastructure, backend systems, and developer tooling.

## Our Stack

- Languages & Frameworks: TypeScript, NestJS, React, Python
- Data & Infrastructure: Postgres, Redis, Kafka, Airbyte, Dagster
- Cloud & Platform: AWS, Kubernetes, FluxCD

## About Span

## Company Overview
- **One-liner**: Span is an AI-native developer intelligence platform that helps engineering leaders cut coordination costs, improve productivity, and prove AI impact by connecting data across code, tickets, incidents, and AI tools.
- **Entity Type**: Private (Series A, $25M total funding)
- **Headquarters**: San Francisco, California, USA
- **Founded**: Not publicly available
- **Founders**: Henry Liu, J Zac Stein

## Core Business
- **Primary industry**: Developer intelligence, engineering analytics, AI observability
- **Target customers**: B2B, Enterprise engineering teams (from startups to Fortune 500)
- **Mission**: “Restore the center of gravity of work, so builders can focus on building.”

## Products & Services
- **Agent Trace Analysis**: Observability for agentic development – connects AI-assisted work to shipped code and enables drill-down into sessions. [span.app](https://www.span.app/)
- **Developer Intelligence**: Metrics, surveys, and contextual understanding to unblock engineers and unlock productivity. Includes AI inference for work classification and developer sentiment surveys. [span.app](https://www.span.app/)
- **AI Effectiveness Suite**: Track AI usage, spend, and impact by team, tool, and model. Includes AI Code Detector (span-detect-1) for chunk-level detection of AI-generated code at 95% accuracy. [span.app](https://www.span.app/)
- **DevFinOps**: Fully automate R&D cost capitalization, eliminating manual spreadsheets and end-of-quarter scramble. [span.app](https://www.span.app/)
- **Operational Excellence**: Playbooks, automated reports, and proactive Slack answers to improve delivery and scale high performance. [span.app](https://www.span.app/)

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding of $25M (Series A, November 2025)
- **Notable Investors/Partners**: Alt Capital, Craft Ventures, SV Angel, Bling, BoxGroup, plus dozens of founders and CTOs from Slack, Notion, Rippling, and Square. [span.app/about](https://www.span.app/about)
- **Growth Signals**: 144% year-over-year headcount growth (33 employees); customers include Ramp, Vanta, Carvana, Writer, and Braze; recently launched AI Code Detector. [linkedin.com](https://www.linkedin.com/company/getspan)

## Competitive Advantages
- **AI-native approach**: Built from the ground up for the AI era, with agent trace analysis and line-level attribution of AI-generated code.
- **Comprehensive integration**: Connects signals across code, tickets, incidents, and AI tools into a single platform.
- **Enterprise security**: SOC 2 Type II certified, GDPR compliant, with fine-grained RBAC, SSO/SCIM, and audit logs. [span.app](https://www.span.app/)
- **Backed by top-tier investors and operators**: Strong network and validation from industry leaders.

## Strategic Focus
- **AI effectiveness**: Proving and improving the ROI of AI investments in engineering.
- **Scaling with AI**: Helping engineering teams maintain clarity and coordination as AI increases output.
- **Automating busywork**: Replacing manual tagging, status reporting, and coordination with smart automation.

## Why Work Here
- **Small teams, big impact**: The company emphasizes “making big engineering teams feel small” and values individual contribution. [span.app](https://www.span.app/)
- **Remote & hybrid options**: Remote roles available in the USA and in-office/hybrid in Buenos Aires, Argentina. [builtin.com](https://builtin.com/company/span-app)
- **Mission-driven culture**: Focus on reducing busywork and letting builders focus on meaningful work. [span.app/careers](https://www.span.app/careers)
- **Open roles** (as of search date): Account Executive, Support Engineer, Product Engineer, Deployed Engineer, Senior Product Designer. [linkedin.com](https://www.linkedin.com/company/getspan)
- **Engineering culture**: Data-driven, AI-forward, with a strong emphasis on developer experience and operational excellence.

## Sources
1. [span.app](https://www.span.app/)
2. [span.app/about](https://www.span.app/about)
3. [span.app/careers](https://www.span.app/careers)
4. [linkedin.com](https://www.linkedin.com/company/getspan)
5. [builtin.com](https://builtin.com/company/span-app)

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