Industrial Manager
Listed on 2025-12-16
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IT/Tech
Data Science Manager, Systems Engineer, Data Engineer
Overview
Litmus is a growth-stage software company that is transforming the way companies harness the power of machine data to improve operations. Our software is enabling the next wave of digital transformation for the biggest and most innovative companies in the World – making Industrial IoT, Industry 4.0 and Edge Computing a reality. We just completed our Series B financing round, and we are looking to expand our team.
You want to be a part of something great
We pride ourselves on building the most talented and experienced team in the industry who knows how to win. We work hard and the results speak for themselves. We’re trusted by industry leaders like Google, Dell, Intel, Mitsubishi, Hewlett-Packard Enterprise and others as we partner to help Fortune 500 companies digitally transform.
You want to define and shape the future
At Litmus you’ll have the opportunity to support and influence the next wave of the industrial revolution by democratizing industrial data. We’re leading the industry in edge computing to feed artificial intelligence, machine learning and other applications that rapidly change the way manufactures operate
You want to build and shape your career
Join a growth-stage Silicon Valley company to build and define your career path in an environment that allows you to progress rapidly. Bring your unique experience, talent and expertise and add to it by collaborating with and learning from the brightest people in the industry.
We are committed to hiring great people who are passionate about what they do and thrive on winning as a team. We welcome anyone and everyone who wishes to join the Litmus marketing team to apply and share their career experience, dreams and goals with us.
About the Role
Litmus isseekingan experienced and driven Industrial Manager
to lead our industrial operations and customer integration initiatives. This role is a unique opportunity to be at the intersection of industrial automation, IT/OT convergence, and next-generation data platforms. As Industrial Manager, you will oversee end-to-end driver development from various legacy to modern industrial systems.
If you are passionate about industrial connectivity, manufacturing data strategy, and leading teams to drive operational excellence inIIoTand Industry 4.0, we want to hear from you.
Key Responsibilities- Lead Development of industrial connectivity for various legacy and modern protocols.
- Manage cross-functional teams including engineers, solution architects, and project managers to deliver industrial implementations on time and within scope.
- Develop strategies for connectivity with
PLCs,DCS, CNCs,SCADA, MES, ERP, historians, and cloud platforms. - Drive standardization in industrial integration using protocols such as OPC UA,Foundation Fieldbus,Modbus
RTU,Profinet,Ether Net/IP, and other common
IIoTstandards. - Establish governance frameworks for quality,security, and compliance across
OT layers - Collaborate with product teams toidentifyindustrial use cases, provide feedback on customer requirements, and influence product roadmap.
- Build strong relationships with customers, vendors, and partners, ensuring adoption and success of deployed solutions.
- Monitor project KPIs and continuouslyoptimizeprocesses for scalability and efficiency.
- Provide leadership, mentorship, and career development for the industrial integration team.
- A bachelor’s ormaster's degree in industrial engineering, Electrical Engineering, Automation, or related technical field.
- 8+ years of experience in industrial automation, controls, orIIoTintegration.
- Proven experience managing industrial integration projects involving OT protocols (OPC UA, Modbus, MQTT,Ether Net/IP,Profinet, etc.).
- Strong knowledge of manufacturing systems (PLC, SCADA, MES, ERP) and industrial networking (TCP/IP, field buses, deterministic Ethernet).
- Familiarity with edge computing, data pipelines, and hybrid cloud architectures.
- Demonstrated leadership in managing cross-functional technical teams and delivering large-scale industrial projects.
- Excellent problem-solving, stakeholder management, and communication skills.
- Experience implementing Unified Namespace (UNS) or enterprise-wide industrial data strategies.
- Exposure todata visualization, analytics platforms, or machine learning in industrial contexts.
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