---
title: 'Staff Full Stack Engineer (Hybrid) at Gather AI'
canonical: 'https://feeny.ai/job/staff-full-stack-engineer-hybrid-gather-ai-pittsburgh-fxc39zh48y3e'
type: 'job'
last_seen: '2026-09-10'
---

# Staff Full Stack Engineer (Hybrid) at Gather AI

- **Company:** Gather AI
- **Location:** Pittsburgh, PA
- **Posted:** 2026-07-14
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.greenhouse.io/gatherai/jobs/5185947007

## Job description

## About Us

Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery.

If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

## About the Team

You'll join the fullstack and WMS integration teams at a pivotal moment: live systems, real enterprise customers, and a platform being deliberately re-engineered from growth-era tradeoffs into a durable, enterprise-grade foundation. The team owns everything from customer-facing integrations to the core services and data layer beneath them, and works in close partnership with product, security, and customer success to turn ambiguous requirements into dependable, well-architected systems.

## About the Role

Most staff engineering roles ask you to choose between architecture and code, or between engineering and customers. This one doesn't.

As Staff FullStack Engineer, you'll set the technical direction for how Gather AI's platform integrates with the world, while staying hands-on with the code, infrastructure, and Kubernetes clusters that run it. You'll lead the shift from ad hoc, growth-era integration patterns to enterprise-grade standards, elevate a live customer-facing solution alongside the engineer already driving it, and become the single US-based point of contact who turns customer requirements into shipped, scoped engineering work.  This is a hybrid role based at our Pittsburgh, PA headquarters.

## What You'll Do

- Architect and build across distributed systems, APIs, integrations, and infra shipping your own code with performance, fault-tolerance, and horizontal scale as first-class design concerns.
- Own the platform's non-functional bar by setting explicit targets for scalability, reliability, availability, latency, performance, security, and observability, and holding the full stack to them.
- Partner with team members on multiple projects like MHEV, Drone and 3DCC to elevate and deliver solutions in technical design and take new requirements to production at high SDLC standards (testable, observable, well-scaled, tuned DB access).
- Decompose overloaded APIs into well-bounded services and introduce data-access abstractions that control DB connections and improve scalability.
- Retire reliability and compliance debt (e.g., PostgreSQL upgrades), stand up production observability metrics and alerts, and reduce delivery friction with CI/CD and AI-assisted delivery.
- Serve as the US-based single point of contact for fullstack work, partnering with Customer Success to turn customer requirements into clear, well-scoped engineering.
- Mentor senior engineers and raise the bar on engineering practices across backend and infrastructure.

## What You'll Need

- 8+ years building and operating production software, with a track record of taking large, stateful systems to enterprise-grade scale and reliability
- Deep hands-on experience with Python, Go and Node.js, PostgreSQL at production scale, and Kubernetes on Azure, from architecture through independent production debugging
- Depth in APIs and integrations across internal service-to-service and external partner integrations: REST, protobuf, messaging, and OAuth, plus secure integration protocols across HTTP, SFTP, email, and IPSec, designed for resilience and secure data exchange
- Deep grasp of non-functional design: scalability, availability and failure modes, latency budgets, caching, and security as first-class concerns, not afterthoughts
- Solid, hands-on CI/CD: building and owning automated build, test, and deployment pipelines that make delivery fast and safe
- Production-grade observability: instrumenting logs, metrics, and traces, and using them (with SLIs/SLOs and incident response) to keep systems healthy
- Practical AI-assisted engineering, using tools such as Claude across the SDLC with sensible guardrails
- Establishing best practices that raise team's engineering standard
- Comfortable running customer-facing technical conversations and translating ambiguous requirements into scoped engineering work
- Prior direct customer-facing experience is not required, but candidates must demonstrate confidence and readiness to join customer calls when needed - troubleshooting issues, explaining API integration capabilities, etc.

## Nice to Have

- Domain experience in logistics, warehouse management systems, or robotics-adjacent platforms
- Experience taking systems multi-region with read-write replication or geo-distribution
- Experience adopting AI across the software development lifecycle, including GenAI code-validation guardrails

## About Gather AI

## Company Overview
- **One-liner**: Gather AI builds the Physical AI platform for logistics, using AI-powered vision on drones and material handling equipment to digitize warehouse operations in real time.
- **Entity Type**: Private – Series B ($74M total funding)
- **Headquarters**: Pittsburgh, United States
- **Founded**: 2017
- **Founders**: Sankalp Arora (CEO), Geetesh Dubey (Chief Systems Officer), Daniel Maturana (Chief ML Scientist)

## Core Business
- Primary industry: Logistics and warehouse management (Physical AI)
- Target customers: B2B, enterprise-scale logistics, manufacturing, retail, aerospace, automotive, and government – customers include GEODIS, NFI Industries, Barrett Distribution Centers, Axon, and dnata
- Mission: To give every facility in a network the same continuous picture of the floor, the intelligence to understand it, and the workflows to act on it – bringing the same intelligence to the physical world that exists in the digital one.

## Products & Services
- **Gather AI Prana Platform**: An end-to-end Physical AI platform with three layers:
  - **SEE**: AI-powered vision on forklift-mounted cameras (for moving items) and drones (for static inventory) that captures ten-plus structured data points per frame, achieving 99.9%+ inventory accuracy.
  - **THINK**: AI reasoning that investigates root cause across inventory, labor, and fulfillment, surfacing ranked, reasoned priorities before each shift.
  - **ACT**: Workflows that route decisions to the right person or system with pre-drafted tasks, closing the loop from capture to action.

## Market Standing
- **Valuation**: Not publicly disclosed (private company)
- **Key Metric**: 2.5x year-over-year bookings growth (250% growth); total funding of $74M (including a $40M Series B raised in 2026); average time to ROI is 6 months.
- **Notable Investors/Partners**: Backed by Tribeca Venture (noted on LinkedIn); deployed with GEODIS, NFI Industries, Barrett Distribution Centers, Axon, dnata, and the U.S. Department of Classified Antiquities.
- **Growth Signals**: Doubled operational footprint in 2026; named to Fast Company’s World’s Most Innovative Companies list for 2026; employee headcount grew ~68% year over year to 80+ employees; expanded into government sector; active job postings increased 333% YoY.

## Competitive Advantages
- **Closed-loop Physical AI**: Combines vision (SEE), reasoning (THINK), and action (ACT) in one platform – a unique integration that turns real-time visual data into prioritized tasks and automated workflows.
- **Deep domain expertise**: Founded by Carnegie Mellon robotics PhDs; CTO Andrew Hoffman was a founding engineer at Kiva Systems (now Amazon Robotics); team has decades of warehouse automation experience.
- **Network-wide consistency**: The platform enforces the same standard across every facility, enabling fixes from one building to become playbooks for the whole network.
- **99.9%+ accuracy** down to the case level, maintained continuously, not just during audits.

## Strategic Focus
- Scale platform across multi-facility enterprise networks and new verticals (government, aerospace, automotive).
- Continue investing in AI/ML autonomy and computer vision to expand the “THINK” layer’s root-cause analysis and predictive capabilities.
- Enhance network-wide outcomes by replicating operational playbooks across customer sites.

## Why Work Here
- **Culture**: Radical transparency, candor, accountability, speed, and a people-first approach. Decisions are made openly; everyone has a voice in shaping the company’s future.
- **Work model**: Fully remote or remote-flexible options available.
- **Benefits**: Competitive salary and equity, comprehensive medical/dental/vision, 401K, unlimited PTO, monthly wellness benefit, continuing education/tuition support, voluntary life insurance.
- **Engineering culture**: Opportunities to work on cutting-edge AI, ML, autonomy, computer vision, and robotics alongside former Amazon Robotics and CMU experts. Real customer impact at scale.

## Sources
1. [gather.ai](https://gather.ai)  
2. [gather.ai/company](https://gather.ai/company)  
3. [gather.ai/careers](https://gather.ai/careers)  
4. [gather.ai/about](https://www.gather.ai/about)  
5. [linkedin.com/company/gather-ai](https://www.linkedin.com/company/gather-ai)

## Other roles at Gather AI

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- [Staff Autonomy Engineer (Drone)](https://feeny.ai/job/staff-autonomy-engineer-drone-gather-ai-open-to-9q1w90fjkesc) — Open To, United States / Pittsburgh, PA
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