--- title: 'Software Engineer, Models at Meter' canonical: 'https://feeny.ai/job/software-engineer-models-meter-san-francisco-rhyevghdkb3p' type: 'job' last_seen: '2026-09-05' --- # Software Engineer, Models at Meter - **Company:** Meter - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-04-22 - **Last confirmed live:** 2026-09-05 - **Apply:** https://jobs.ashbyhq.com/meter/3023c80f-a600-408c-8a1b-a72fee912724/application **Skills:** TypeScript, React, Go, GraphQL, Kafka, Postgres, ClickHouse, Salesforce > Build backend systems and data pipelines to create a structured, queryable record of network engineering diagnostics. Ship an annotation interface using TypeScript, React, Go, and Postgres to enable network engineers to generate training data autonomously. ## Job description ## WHY THIS ROLE EXISTS Network engineers carry the most valuable signal in the world in their heads, and it disappears the moment they close a ticket. Your job is to build the system that captures that signal so that our models can learn to think like network engineers. If you get this right, Meter can manage thousands of customers’ networks autonomously, without adding a single engineer. ## THE PROBLEM YOU’RE WALKING INTO LLMs are good at code because of their access to Git. Commit messages explain why a change was made, PR threads capture expert disagreement, issue trackers record dead ends and eventual fixes. Models trained on that corpus of data don’t just pattern-match, they’ve seen millions of examples of human reasoning through problems. Network engineering has none of this. When a network engineer looks at a set of device stats and figures out it’s upstream packet loss — not a hardware failure, not a misconfiguration, specifically upstream packet loss — that reasoning lives in their head. Never in a place a model can learn from. You will build the Git and Github for network engineering. A structured, queryable record of what the network looked like, what the expert notice, and why they made the call they made. ## WHAT YOU WILL SHIP First 30 days Sit with our network engineers and watch how they work. Don’t touch code yet. Understand what a great diagnostic reasoning record actually looks like and what data you’ll need to build one. Map the existing landscape: telemetry in ClickHouse, configs in Postgres, support history in Salesforce. 60 days in Ship a working v1 of the annotation interface. Network engineers should be able to open a historical support ticket, see what the network looked like at the time of the incident, and log their diagnostic reasoning against it. It doesn’t have to be elegant, it has to be useful enough for engineers to want to use it. 90 days in Our network engineers are generating training data independently without engineering support. The first model benchmarks built from the pipeline are running and you can point to a number knowing the model improved because of what you shipped. ## TECH STACK TypeScript, React, Go, GraphQL, Kafka, Postgres. ## WHO YOU’LL WORK WITH Our co-founder and CEO will lead the product roadmap. In addition to your customers, network engineers, you’ll partner closely with two research engineers who have deep ML backgrounds and a clear picture of what training data needs to look like. They’re excited to have a partner in building the app. ## MEASURING SUCCESS - Within 90 days, Network engineers are generating training data independently, without pinging you - We have a large set of high-quality annotated cases in the pipeline - Model benchmark scores are moving in the right direction because of the data this pipeline produced ## WHAT WE’RE LOOKING FOR You’ve built backend systems end-to-end and made real architectural decisions with real consequences. You have opinions about data storage that come from having made the wrong decisions. You have deep customer empathy. You’ll spend your first weeks learning how network engineers think and work. This knowledge will shape your future decisions. You care about people using the tools you built for them. Network engineer tool adoption and satisfaction leads to critical training data, model improvement, and eventually autonomous networks. ## About Meter ## Company Overview - **One-liner**: Meter builds full-stack enterprise networking infrastructure—hardware, software, and operations—to deliver fast, reliable, and secure internet for businesses of all sizes. - **Entity Type**: Private (Series C, $170M led by General Catalyst in July 2025) - **Headquarters**: San Francisco, California, United States - **Founded**: 2015 - **Founders**: Not publicly available from provided sources ## Core Business - **Primary Industry**: Enterprise networking infrastructure - **Target Customers**: B2B – mid-market to large enterprises, including offices, warehouses, campuses, and data centers - **Mission**: To rebuild internet infrastructure from the ground up, making it as easy to turn on as water and electricity. ## Products & Services - **Full-Stack Networks**: A vertically integrated solution combining hardware, firmware, software, deployment, and support. - **Hardware**: Gateway firewalls (F-Series up to 50 Gbps), S-Series switches (PoE++), A-Series Wi‑Fi 7 access points, P-Series PDUs. - **Software Dashboard (Command)**: Network visibility, DNS security, VLAN management, rate limiting, captive portal, floor plan integrations. - **Operations**: Design, installation, support, and lifecycle management provided by Meter or channel partners. ## Market Standing - **Valuation**: Not disclosed (implied unicorn status after $170M Series C) - **Key Metric**: Annual Revenue of **$38.4M** (estimated); Total Funding **$255M** - **Notable Investors/Partners**: Sequoia Capital, General Catalyst, Sam Altman (multiple rounds), Lachy Groom; 16 investors in Series B (2022) - **Growth Signals**: - Headcount grew **+96.6% YoY** (from ~62 to 174 employees) - Recognized as a **Visionary in the 2026 Gartner® Magic Quadrant™ for Enterprise Wired and Wireless LAN Infrastructure** - Acquired **Interval** (November 2023) to strengthen autonomous networking capabilities - Operating in **8 countries** (US, Philippines, UK, Canada, Slovakia, Norway, France, India) ## Competitive Advantages - **Vertically Integrated**: Designs and manufactures its own hardware, writes the firmware and software, and runs network deployment and support – a rare full-stack approach that ensures consistency and performance. - **Software‑Led Lifecycle**: From install to refresh, all management flows through a single dashboard, reducing complexity for IT teams. - **Scale‑Ready**: Proven to handle thousands of locations and millions of devices; multi-site management is a core capability. ## Strategic Focus - Continue scaling the full-stack platform to support global enterprise deployments - Expand autonomously managed networks (leveraging Interval acquisition) - Grow channel and partner ecosystem (multiple open partner account manager roles) - Deepen presence in data center and large campus networking segments ## Why Work Here - **Culture**: Emphasizes “kind and ambitious” people who thrive in a fast‑paced, changing environment. Writing is central to how the company operates – candidates complete a take‑home writing exercise. - **Work Environment**: Strongly **in‑office** in San Francisco (combined office, distribution center, and QE lab). Some roles are remote in other locations (e.g., Bangalore, London, Phoenix) but the majority of the team works from HQ. - **Benefits**: In‑office meals, thoughtful health benefits, time off that enables “real rest”; team is committed to in‑person collaboration. - **Career Growth**: Rapid headcount growth (+96% YoY) and many open positions (88 active job postings across engineering, sales, marketing, operations). Alumni go on to startups and major tech companies (Cisco, Meta, Stripe). - **Glassdoor Rating**: 3.1/5 (9 reviews) – mixed feedback on work‑life balance (3.0) but compensation rated 3.7. ## Sources 1. [meter.com/careers](https://www.meter.com/careers) 2. [meter.com/](https://www.meter.com/) 3. [meter.com/about](https://www.meter.com/about) 4. [linkedin.com/company/meter-com](https://www.linkedin.com/company/meter-com) 5. [meter.com/open-roles](https://www.meter.com/open-roles) ## Other roles at Meter - [Sales, Enterprise - Texas](https://feeny.ai/job/sales-enterprise-texas-meter-united-states-8e1ktyxqprga) — United States - [Technical Project Manager](https://feeny.ai/job/technical-project-manager-meter-san-francisco-jkjy242h4hvn) — San Francisco, CA - [Technical Project Manager](https://feeny.ai/job/technical-project-manager-meter-new-york-ketpxvm1np7a) — New York, NY - [Product Manager, Wireless](https://feeny.ai/job/product-manager-wireless-meter-san-francisco-xcmpkchr9131) — San Francisco, CA - [GTM People Partner](https://feeny.ai/job/gtm-people-partner-meter-san-francisco-jzk4v5zh261y) — San Francisco, CA - [Sales Recruiter](https://feeny.ai/job/sales-recruiter-meter-san-francisco-0vkeq8r6qqzk) — San Francisco, CA - [Sales, Enterprise - Mid-Atlantic](https://feeny.ai/job/sales-enterprise-mid-atlantic-meter-united-states-k6xxeytb8fz0) — United States - [Sales, Enterprise - Chicago](https://feeny.ai/job/sales-enterprise-chicago-meter-united-states-emrx8601xa3z) — United States - [Quality & Manufacturing Engineering](https://feeny.ai/job/quality-manufacturing-engineering-meter-taiwan-4kfc3p7jkyg2) — Taiwan - [Network Engineer](https://feeny.ai/job/network-engineer-meter-san-francisco-tcd6xy3w0qtz) — San Francisco, CA