---
title: 'Senior Forward Deployed Product Manager (KR) at Gauss Labs'
canonical: 'https://feeny.ai/job/senior-forward-deployed-product-manager-kr-gauss-labs-yeoksam-p0pv1avnyhey'
type: 'job'
last_seen: '2026-09-08'
---

# Senior Forward Deployed Product Manager (KR) at Gauss Labs

- **Company:** Gauss Labs
- **Location:** Yeoksam, Seoul, South Korea
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-22
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.lever.co/gausslabs/692ae175-094e-45a2-983c-cb88913d512e

## Job description

The Forward Deployed Product Manager is a key member of the Gauss Labs team, embedded directly with our partners and customers across the full engagement lifecycle—leading proof-of-concept (POC) engagements end to end, defining the real-world data and process problems worth solving, translating them into AI products that scale, and driving their adoption, operation, and ongoing maintenance in production. The first and most important charter is to lead our collaboration with a leading semiconductor equipment partner—defining where our AI can create the most value in customer workflows—while broadening our footprint across integrated device manufacturers (IDMs) and foundries. The Forward Deployed PM brings a product mindset, proactively solving customers' future problems, and serves as the team lead for Forward Deployed Engineers (FDEs), while working closely with AI Scientists, Data Scientists, Software Engineers, and Product Managers located in Palo Alto, California, USA, and Seoul, South Korea.

## Responsibilities

- Own and lead our top-priority engagement with a leading semiconductor equipment partner—learning their workflows in depth, identifying high-value AI opportunities, and driving them from concept to deployed solution
- Extend our customer footprint across IDMs and foundries, tailoring AI solutions to each customer's fab environment, process steps, and data realities
- Run customer POCs end to end—from initial scoping through on-site validation and into contract; define success criteria, manage scope/timelines, and prove measurable value on-site
- Drive production rollout and adoption after a successful POC—own the transition from pilot to production, define adoption metrics, and ensure customer engineers integrate and rely on the solution in daily workflows
- Work side by side with customer engineers/process owners to uncover bottlenecks in their data & manufacturing flow, and translate them into scalable product requirements
- Lead a small team of Forward Deployed Engineers (FDEs)—set priorities, remove blockers, keep delivery anchored to customer value—while feeding field insights (edge cases, gaps) back into the core product roadmap and supporting business development for contract expansion

## Basic Qualifications

- Bachelor's degree in engineering, computer science, data science, statistics, physics, mathematics, industrial engineering, operations research, or another quantitative or technical discipline
- 7+ years’ experience in product management and/or solutions/deployment/customer-facing technical roles, including 3+ years owning products end-to-end and leading cross-functional teams.
- Demonstrated product mindset, with a track record of anticipating customer needs and shaping solutions that create value beyond the immediate ask
- Proven ability to drive end-to-end execution of complex engagements despite ambiguity and obstacles
- Strong stakeholder management and communication skills across both technical and business audiences
- Willingness to be forward deployed, spending significant time on-site at customer fabs and equipment partners, including international travel
- Fluency in verbal and written English

## Preferred Qualifications

- Direct experience in the semiconductor manufacturing ecosystem—across IDMs, foundries, equipment makers, or adjacent process domains
- Familiarity with metrology, process control, yield, defect inspection, or equipment data, and with applying AI/ML to industrial or manufacturing data
- Experience in a forward-deployed, deployment-strategist, or solutions-architect model at an AI or enterprise software company
- Experience converting POCs into commercial contracts and scaling bespoke solutions into productized offerings
- Korean proficiency given our customer and team footprint

[Interview Process] Application review - Phone interview - Virtual onsite interview - VP interview/Core Value interview - CEO interview

## About Gauss Labs

## Company Overview
- **One-liner**: Gauss Labs revolutionizes manufacturing by building industrial AI solutions that leverage machine-generated data to make factories more intelligent.
- **Entity Type**: Private (funded by a single corporate round in 2020)
- **Headquarters**: Palo Alto, California, United States
- **Founded**: 2020
- **Founders**: Mike Young-Han Kim (CEO)

## Core Business
- **Primary industry/industries**: Industrial AI, Semiconductor Manufacturing Intelligence, Software Development
- **Target customers**: B2B – primarily large semiconductor manufacturers (e.g., SK hynix) and other advanced manufacturing firms
- **Mission or purpose statement**: “We normalize AI. We revolutionize manufacturing.” – Gauss Labs aims to reshape manufacturing through innovative industrial AI systems beyond human capabilities.

## Products & Services
- **Panoptes VM (Virtual Metrology)**: An AI-based solution that predicts wafer manufacturing process outcomes, enabling real-time process control and reducing the need for physical measurements. Deployed at SK hynix since 2023.
- **Panoptes IM (Image Metrology)**: An end-to-end image metrology solution covering image processing, metrology, and analytics. Helps extract highly precise and repeatable measurements from manufacturing images.
- **Manufacturing Data Intelligence (MDI) Solutions**: A broader suite of proprietary AI algorithms that turn machine-generated data into actionable insights for factory optimization.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total Funding – $55 million (corporate round, led by SK Hynix, September 2020)
- **Notable Investors/Partners**: SK Hynix (sole investor and strategic partner), with published research at SPIE AL 2024 on AI-based semiconductor metrology.
- **Growth Signals**: 
  - Headcount growth of +2.8% YoY (64 employees as of 2025)
  - Active job postings in US and Korea (6 open roles)
  - Deployment of Panoptes VM at SK hynix’s wafer fabrication lines
  - Patent filings in end-to-end process control and anomaly detection (2024)

## Competitive Advantages
- **Deep domain expertise**: Combines cutting-edge AI/ML knowledge with hands-on manufacturing domain knowledge, especially in semiconductor fabrication.
- **Proprietary AI algorithms**: Developed in-house for manufacturing data intelligence, validated through real-world deployments at scale.
- **Tight partnership with SK hynix**: Access to real-world manufacturing data and a channel for immediate impact, creating a strong moat in the semiconductor AI space.
- **Global distributed team**: Offices in Palo Alto (HQ), Seoul, and Vancouver, enabling 24/7 development and close collaboration with Asian manufacturing hubs.

## Strategic Focus
- **Current priorities**: Scaling its AI-based virtual metrology and image metrology solutions to additional semiconductor fabs and expanding into other manufacturing verticals.
- **Growth direction**: Continued investment in R&D (patents, SPIE publications) and hiring for AI, software engineering, and forward-deployed roles to deepen product capabilities and customer reach.

## Why Work Here
- **Culture highlights**: Gauss Labs emphasizes “normalizing AI” and values ownership, fearless experimentation, and collective learning. The company is described as having a balanced and inspiring leadership.
- **Remote/hybrid/office policy**: 
  - Palo Alto: Hybrid working environment
  - Seoul: Hybrid working environment
  - Vancouver: Full remote working environment
  - Generous PTO, flexible hours, and remote work options
- **Notable perks**: Comprehensive health insurance (medical, vision, dental) for employees and dependents; 401(k) with company matching in the US; group insurance and private health plan in Korea; robust savings plans; career development programs; team-building events.
- **Engineering culture**: High proportion of technical staff (38% technical, 14% research), with strong talent drawn from top companies like SK hynix, Samsung, Amazon, and AWS. Employees report a 3.8/5.0 employer rating (Work-Life 4.0, Compensation 4.2, Culture 3.5).

## Sources
1. [gausslabs.ai](https://www.gausslabs.ai/about-us) – About Us page
2. [gausslabs.ai](https://www.gausslabs.ai/career) – Careers page
3. [linkedin.com](https://linkedin.com/company/gauss-labs-ai) – LinkedIn company page (aggregated data)
4. [builtin.com](https://builtin.com/company/gauss-labs) – Built In company profile
5. [jobs.lever.co](https://jobs.lever.co/gausslabs) – Current job openings

## Other roles at Gauss Labs

- [Senior Forward Deployed Operations Engineer (KR)](https://feeny.ai/job/senior-forward-deployed-operations-engineer-kr-gauss-labs-yeoksam-pha4cm0fy06g) — Yeoksam, Seoul, South Korea
- [Senior Site Reliability Engineer (KR)](https://feeny.ai/job/senior-site-reliability-engineer-kr-gauss-labs-yeoksam-gdg4bf0588qt) — Yeoksam, Seoul, South Korea
- [Senior Data Scientist - Manufacturing Data (KR)](https://feeny.ai/job/senior-data-scientist-manufacturing-data-kr-gauss-labs-yeoksam-7mxybzg57532) — Yeoksam, Seoul, South Korea
- [Senior AI Engineer - Machine Learning (US)](https://feeny.ai/job/senior-ai-engineer-machine-learning-us-gauss-labs-palo-alto-my50txca82ab) — Palo Alto, CA
- [AI Scientist - Machine Learning (KR/US)](https://feeny.ai/job/ai-scientist-machine-learning-kr-us-gauss-labs-palo-alto-8fggv3qzs4n1) — Palo Alto, CA / Yeoksam, Seoul, South Korea
- [Talent Pool (KR)](https://feeny.ai/job/talent-pool-kr-gauss-labs-yeoksam-fk05db67et2a) — Yeoksam, Seoul, South Korea
- [Talent Pool (US)](https://feeny.ai/job/talent-pool-us-gauss-labs-palo-alto-n4vhgcyr9zdv) — Palo Alto, CA