Full-Time

Forward Deployed Product Manager

Posted on 7/7/2025

Sight Machine

Sight Machine

51-200 employees

SaaS manufacturing analytics platform with AI

No salary listed

San Francisco, CA, USA

Hybrid

Hybrid work flexibility (2 days work from home)

Category
Product (1)
Required Skills
Product Management
Requirements
  • 3+ years as a Product Manager, ideally with experience in a startup (0 to 1) environment
  • Ability to work directly with customers and prospects to uncover needs, influence decision-making, and shape solutions
  • A driven and curious mindset with the ability to navigate complex and potentially political environments with diplomacy and strategic thinking
  • Strong understanding of software and data solutions, and the ability to translate customer needs into actionable product requirements
  • Strong communication and presentation skills, with experience influencing C-level executives and other senior decision-makers
  • Willingness to travel up to twice a week to meet prospects and collaborate with internal teams
Responsibilities
  • Collaborate with prospects to deeply understand their operational challenges, going beyond surface-level requirements to identify core, underlying needs
  • Ensure prospects are a good fit for our solutions by rigorously evaluating their needs, challenges, and potential success with our technology
  • Challenge assumptions, push back on both prospects and internal teams when necessary, and ensure alignment on solutions that will truly make the customer successful
  • Leverage your product management and technical knowledge to design and recommend solutions that address the unique challenges and goals of each prospect, with a focus on driving digital transformation
  • Work closely with sales and delivery teams to ensure customer needs are understood and met, aligning product development and delivery with real-world requirements
  • Present and communicate effectively with executive-level stakeholders, influencing decision-making through compelling storytelling and data-driven insights
  • Work in a fast-paced, startup-like environment to craft 0-to-1 solutions from scratch and execute on high-growth opportunities, delivering customer-specific solutions
  • Be on the ground with prospects and partners, traveling up to twice a week to build trust, gather insights, and facilitate solution design workshops
Desired Qualifications
  • Experience in manufacturing, data technology, or enterprise software is a plus

Sight Machine provides an AI-powered software platform for manufacturing analytics. It collects data from factories via connected equipment and systems, then uses AI to analyze the data in real time and deliver actionable insights through dashboards and reports. This helps large manufacturers improve operational efficiency, reduce waste, and enhance product quality. The platform is offered as a software-as-a-service (SaaS) with optional custom analytics and consulting services. Compared to competitors, Sight Machine focuses on enterprise-scale, real-time analytics across multiple industries (such as automotive, electronics, and consumer goods) to give companies a unified view of their operations and enable data-driven decisions at scale. The goal is to help manufacturers optimize production, predict maintenance needs, and lower costs to increase profitability.

Company Size

51-200

Company Stage

Late Stage VC

Total Funding

$69.9M

Headquarters

San Francisco, California

Founded

2012

Simplify Jobs

Simplify's Take

What believers are saying

  • Fast Company named Sight Machine most innovative company in 2026.
  • Integrations with Microsoft Fabric, Azure IoT, and Databricks expand market reach.
  • Plant Digital Twin enables real-time visibility across machines and plants.

What critics are saying

  • Microsoft commoditizes Sight Machine's stack via Azure integrations in 12-24 months.
  • Databricks replicates manufacturing insights cheaper within 12-18 months.
  • Siemens and GE deploy fully autonomous agents first in 6-12 months.

What makes Sight Machine unique

  • Sight Machine's semantic layer structures messy plant data into AI-ready models.
  • Autonomous AI agent crews optimize KPIs like throughput using statistical analysis.
  • Factory Namespace Manager maps factory data names to corporate standards with Phi-3.5.

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Benefits

Health Insurance

Life Insurance

401(k) Company Match

Health Savings Account/Flexible Spending Account

Unlimited Paid Time Off

Flexible Work Hours

Hybrid Work Options

Stock Options

Competitive Salary

Paid Vacation

Commuter Benefits

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

0%

2 year growth

-1%
PR Newswire
Mar 24th, 2026
Sight Machine named to Fast Company's list of the World's Most Innovative Companies of 2026.

Sight Machine named to Fast Company's list of the World's Most Innovative Companies of 2026. Mar 24, 2026, 16:35 ET Recognized Among the Most Innovative Companies in Manufacturing SAN FRANCISCO, March 24, 2026 /PRNewswire/ - Sight Machine Inc., the leading industrial AI platform, is proud to have been named to Fast Company's prestigious list of the World's Most Innovative Companies of 2026, in the category of Manufacturing. This year's list shines a spotlight on businesses that are shaping industry and culture through their innovations. Sight Machine's Industrial AI platform - the only product that structures manufacturing data at scale - enables "structure once, analyze infinitely," so analytics, applications, and AI don't require custom data engineering for every use case. The platform translates raw machine data and IT data into a semantic layer - a single source of truth for structured manufacturing knowledge that AI can reason about and act upon. Sight Machine enables manufacturing operators, process engineers, and executives to use natural language to analyze performance, identify the root cause of production problems, and optimize throughput, quality, uptime, and cost. Sight Machine's Industrial AI agents conduct their own analysis on information from the semantic layer, using Sight Machine's extensive set of manufacturing analysis tools and creating their own analysis applications. The agents determine changes in machine settings and procedures to improve performance, advancing manufacturers along the path to autonomous operations. "We've spent 15 years building the platform that makes industrial AI actually work at scale," said Sight Machine CEO and Co-Founder Jon Sobel. "That work is now bringing manufacturers toward operations that can increasingly sense, decide, and act on their own. We're proud that Fast Company has recognized the progress our team and our customers have made together in getting there." The World's Most Innovative Companies is Fast Company's hallmark franchise and one of its most anticipated editorial efforts of the year. To determine honorees, Fast Company's editors and writers review companies driving progress around the world and across industries, evaluating thousands of submissions through a competitive application process. The result is a globe-spanning guide to innovation today, from early-stage startups to some of the most valuable companies in the world. "Our list of the Most Innovative Companies is about spotlighting organizations that don't just adapt to change - they drive it," said Brendan Vaughan, editor-in-chief of Fast Company. "The companies we honor this year are redefining what leadership looks like in 2026, pairing bold ideas with measurable impact and turning breakthrough innovation into real-world value. They are setting the pace for their industries and offering a blueprint for what sustained innovation can achieve." The full list of Fast Company's Most Innovative Companies honorees can now be found at fastcompany.com. It will also be available on newsstands beginning March 31, 2026. About Sight Machine Sight Machine, the leading industrial AI platform, enables manufacturers to scale industrial AI across products, lines, and plants. Purpose-built for manufacturing and combining software with forward-deployed manufacturing experts, Sight Machine helps enterprises drive measurable improvements in yield, throughput, quality, uptime, cost, and sustainability. The platform is open, modular, and enterprise-grade, integrating natively into existing architectures while preserving full customer control of data and infrastructure. About Fast Company Fast Company is the only media brand fully dedicated to the vital intersection of business, innovation, and design, engaging the most influential leaders, companies, and thinkers on the future of business. Headquartered in New York City, Fast Company is published by Mansueto Ventures LLC, along with fellow business publication Inc. For more information, please visit fastcompany.com. SOURCE Sight Machine Inc.

WisdomInterface
Sep 17th, 2025
Sight Machine Announces Industrial AI Agents, Expanded Integration with Microsoft Fabric, Additional Investment

Additionally, at Microsoft's FabCon conference today in Vienna, Sight Machine announced its integration with Microsoft Fabric's Real-Time Intelligence (RTI), a centralized hub that integrates streaming operational and enterprise data with advanced analytics for business and technical users.

PR Newswire
Nov 19th, 2024
Sight Machine Announces Support For Microsoft Azure Iot Operations Across Edge And Cloud

Sight Machine's Factory CONNECT Available with Azure IoT Operations for Connecting, Labeling and Unifying All Factory Data Sources. SAN FRANCISCO, Nov. 19, 2024 /PRNewswire/ -- Sight Machine Inc., provider of the leading platform for data-driven manufacturing and industrial AI, today became a launch partner for Microsoft Azure IoT Operations, a suite of services for managing factory data in Azure across the edge and cloud. Microsoft today announced the general availability of Azure IoT Operations, which provides a unified technology architecture and data plane for IoT data that supports repeatable solution deployment and maintenance. Azure IoT Operations is an important component of Azure's adaptive cloud approach, which integrates hybrid, multicloud, edge, and IoT environments to deliver secure, scalable automation. This adaptive cloud approach aligns with the evolving IoT market needs, fostering seamless integration and interoperability across a diverse landscape while breaking down silos across the enterprise

VentureBeat
Nov 13th, 2024
Microsoft Brings Ai To The Farm And Factory Floor, Partnering With Industry Giants

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Microsoft has launched a new suite of specialized AI models designed to address specific challenges in manufacturing, agriculture, and financial services. In collaboration with partners such as Siemens, Bayer, Rockwell Automation, and others, the tech giant is aiming to bring advanced AI technologies directly into the heart of industries that have long relied on traditional methods and tools.These purpose-built models—now available through Microsoft’s Azure AI catalog—represent Microsoft’s most focused effort yet to develop AI tools tailored to the unique needs of different sectors. The company’s initiative reflects a broader strategy to move beyond general-purpose AI and deliver solutions that can provide immediate operational improvements in industries like agriculture and manufacturing, which are increasingly facing pressures to innovate.“Microsoft is in a unique position to deliver the industry-specific solutions organizations need through the combination of the Microsoft Cloud, our industry expertise, and our global partner ecosystem,” Satish Thomas, Corporate Vice President of Business Industry Solutions at Microsoft, said in a LinkedIn post announcing the new AI models.“Through these models,” he added, “we’re addressing top industry use cases, from managing regulatory compliance of financial communications to helping frontline workers with asset troubleshooting on the factory floor — ultimately, enabling organizations to adopt AI at scale across every industry and region… and much more to come in future updates!”Siemens and Microsoft remake industrial design with AI-powered softwareAt the center of the initiative is a partnership with Siemens to integrate AI into its NX X software, a widely used platform for industrial design. Siemens’ NX X copilot uses natural language processing to allow engineers to issue commands and ask questions about complex design tasks

PR Newswire
Nov 13th, 2024
Sight Machine'S Factory Namespace Manager Converts Chaos Of Manufacturing Data Names Into Corporate-Standard Naming Systems

Fine-Tuned Version of Microsoft's Phi-3.5 is One of the First Small Language Models (SLM) for Manufacturing. SAN FRANCISCO, Nov. 13, 2024 /PRNewswire/ -- Sight Machine, provider of the leading platform for data-driven manufacturing and industrial AI, today introduced Factory Namespace Manager, one of the first AI small language models (SLM) for manufacturing. The AI model tackles a core data governance challenge: mapping the multitude of factory data naming schemas into enterprise-wide unified namespaces or corporate data dictionaries. Factory Namespace Manager is one of the first partner-enabled adapted AI models for manufacturing offered within the Azure AI model catalog, which Microsoft announced today. Factory Namespace Manager uses AI to fill a crucial gap in the technology needed to create a unified namespace: mapping between the original data field names and the corporate standard, enabling manufacturers to integrate factory data with enterprise data systems for end-to-end optimization

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