Product Manager

Posted 12 Days Ago
Houston, TX
Mid level
Artificial Intelligence • Machine Learning • Energy
The Role
The Product Manager will drive AI-driven product development, collaborating with stakeholders to define roadmaps and enhance user experience in industrial optimization.
Summary Generated by Built In

TL;DR:

Imubit is looking for a top-notch Product Manager to help disrupt the refining and chemical industries with breakthrough machine learning technologies.

This role is expected to be Hybrid in Houston, TX.


About us:

At Imubit, we’re not just optimizing industrial processes—we’re redefining how entire industries operate. As the pioneer of Closed Loop AI Optimization (AIO), we are leading the charge in transforming refining, chemical, cement, and mineral mining plants with AI-driven automation. Our Optimizing Brain™ Solution puts the power of AI directly into the hands of engineers, enabling them to build and deploy their own multipurpose models to unlock new levels of efficiency, profitability, and sustainability.

Seven of the top ten U.S. refiners trust Imubit, with our solution deployed in over 90 high-value applications, delivering real-time process optimization that drives margins, reduces emissions, and builds the AI-savvy workforce of the future. Co-founded by a Google Fellow and award-winning data scientist, Imubit brings together domain experts from industry leaders like Exxon, Shell, Holcim, and FLSmidth. Backed by tier-1 venture capital firms such as Insight Partners and Alpha Wave, we are setting a new standard for industrial AI.

Our mission is simple but bold: helping the world’s leading industrial companies solve their most complex challenges, maximize long-term profitability, and future-proof their operations in an era of rapid change. If you’re ready to push boundaries and shape the future of industrial intelligence, now’s the time to join us.


We are looking for:

You, a Product Manager, with a background in chemical engineering who deeply understands process manufacturing and is excited about leveraging AI to revolutionize industrial optimization.  You are driven to join a cutting-edge team and drive the development of AI-driven products that empower industrial process optimization. In this role, you will collaborate closely with customers, engineers, and data scientists to define product requirements, improve user experience, and deliver high-value AI solutions for process manufacturing.


In this position, you will:

  • Define and execute the product roadmap based on business goals, customer needs, and market trends.
  • Gather customer insights through direct engagement, feedback sessions, and market research to ensure our AI solutions address real industrial problems.
  • Translate customer needs into clear product requirements and collaborate with engineering, data science, and UX teams to deliver high-impact solutions.
  • Drive product development processes, ensuring timely and high-quality delivery of features.
  • Collaborate with cross-functional teams to align priorities, optimize workflows, and support go-to-market strategies.
  • Track product performance and adoption using data-driven insights to inform ongoing improvements.
  • Stay informed on industry trends and the competitive landscape to help shape product strategy.


Minimum Qualifications: 

  • 2-5 years of experience in product management with a proven track record of successful product launches 
  • Work experience in process manufacturing applications. Hands-on experience with process optimization
  • Experience working with multiple stakeholders in complex, technical environments.
  • Ability to translate complex technical requirements into clear product roadmaps.
  • Strong focus on UI/UX design and data-driven decision-making.
  • Excellent communication skills, with experience conducting client-facing presentations and demos.
  • Availability to travel as needed, including occasional travel to Israel (IL)
  • Bachelor's degree in Chemical Engineering or related field

Preferred Qualifications: 

  • Experience with AI/ML products and platforms in industrial or manufacturing settings
  • Knowledge of analytics tools and data management practices
  • Experience working with technical end-users and translating complex requirements


Imubit provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Imubit complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.


Imubit does not accept or retain unsolicited CVs or phone calls and/or respond to them or to any third party representing job seekers.


No visa sponsorship is available for this position.


[email protected]

Top Skills

AI
Analytics Tools
Data Analysis
Ml
Ui/Ux Design
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The Company
HQ: Houston, TX
137 Employees
On-site Workplace
Year Founded: 2016

What We Do

At Imubit, we’re driven by a mission to tackle and solve the toughest challenges at chemical plants and refineries.

Our solution - the Imubit Closed Loop Neural Network™ - is an AI process optimization technology that enables plant managers to discover, engineer and monetize process optimization opportunities considered impossible until now.

As the first-ever technology of its kind in the industry, our neural network solution interconnects planning and economics, process engineering, process control and operations, in using historical data to learn subtle nonlinear dynamics, and optimize economically critical plant parameters in real time. This end-to-end solution is currently running in the world’s largest refining and petrochemical plants, unlocking millions of dollars a year in annual margin for operators.

Imubit is led by globally-renowned, Google-endorsed machine learning scientists and world-class hydrocarbon processing experts with over 220 years of industry experience.

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