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Sr. Data Product Manager

TL;DR:

Imubit is looking for a top-notch Sr. Data 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:

Imubit directly controls and optimizes refineries and chemical plants with AI to add millions of dollars to the plant bottom line while managing safe operating limits, energy efficiency, and sustainability objectives. Imubit’s Closed Loop Neural Network platform allows customers to leverage an advanced form of AI called Reinforcement Learning (RL). Through our patented approach to apply RL for industrial processes, industry leaders have been able to fundamentally change the way they optimize their plants and improve profitability in real-time. Imubit’s solution is currently optimizing the manufacturing facilities of Fortune-500 companies. Imubit has combined the industry expertise from companies like Exxon and Shell with award-winning data scientists endorsed by Google. Imubit is backed by tier-1 venture capital firms such as Insight Partners.

 

We are looking for:

We are seeking an experienced Senior Data Product Manager to join our growing team and focus on critical aspects of our AI platform. This role will collaborate with all product managers and contribute expertise in product management best practices and AI technologies.

 

In this position, you will:

  • Develop and execute product strategies for key components of our AI platform
  • Focus on data-related aspects and infrastructure elements that support our AI capabilities
  • Create detailed, high-quality product requirements for complex features
  • Work closely with other product managers, engineering, devops, and AI teams to ensure successful implementation of product features
  • Contribute to the overall product roadmap, particularly for the platform aspects
  • Engage with customers and internal stakeholders to gather requirements and feedback
  • Apply product management best practices in areas such as prioritization and product lifecycle management
  • Collaborate with all product team members, sharing knowledge and expertise in AI and data-intensive product


Minimum Qualifications: 

  • 7-10 years of experience in product management, preferably with AI/ML or data-intensive products
  • Strong understanding of ML/AI concepts and infrastructure needs for AI platforms
  • Excellent skills in creating detailed product requirements and working with engineering teams on complex features
  • Experience in managing products with multiple stakeholders and dependencies
  • Proven track record of successful product launches and iterations in AI-driven companies
  • Strong analytical and problem-solving skills
  • Excellent communication and collaboration abilities
  • Detail-oriented with a focus on product quality and user experience
  • Bachelor's degree in Computer Science, Engineering, or related field (Master's degree a plus)


Preferred Qualifications: 

  • Experience with AI/ML products and platforms in industrial or manufacturing settings
  • Familiarity with process manufacturing applications
  • 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.

 

careers@imubit.com

Average salary estimate

$135000 / YEARLY (est.)
min
max
$120000K
$150000K

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What You Should Know About Sr. Data Product Manager, Imubit

Imubit is on the hunt for an exceptional Sr. Data Product Manager to join our innovative team in Houston, Texas! This is more than just a job; it’s an opportunity to be at the forefront of changing the refining and chemical industries with advanced machine learning technologies. Here at Imubit, we pride ourselves on revolutionizing how refineries and chemical plants operate by leveraging AI to maximize profits while adhering to strict safety and sustainability goals. Our groundbreaking Closed Loop Neural Network platform utilizes Reinforcement Learning (RL) to give Fortune-500 companies unprecedented control over their manufacturing processes. In this role, you'll collaborate closely with product managers from various backgrounds, contributing your experience in product management best practices and AI technologies. You’ll develop strategies to enhance our AI platform and tackle complex infrastructural challenges. We want someone who excels at crafting detailed product requirements, engaging with customers, and refining our overall product roadmap. With a minimum of 7-10 years in product management—particularly involving AI/ML or data-intensive products—you'll guide our projects from conception through execution. If you’re detail-oriented, passionate about user experience, and possess excellent analytical skills, you could be the perfect fit for our team. Come join us at Imubit and help shape the future of industrial innovation!

Frequently Asked Questions (FAQs) for Sr. Data Product Manager Role at Imubit
What are the responsibilities of a Sr. Data Product Manager at Imubit?

As a Sr. Data Product Manager at Imubit, you will be responsible for developing and executing product strategies for our AI platform, particularly focusing on data-related aspects and infrastructure. Your role will involve creating detailed product requirements, collaborating with product managers and engineering teams, and contributing to the product roadmap. Engaging with customers to gather essential feedback and applying product management best practices will also be key in ensuring our products meet market needs.

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What qualifications are needed for the Sr. Data Product Manager role at Imubit?

To be considered for the Sr. Data Product Manager role at Imubit, candidates should have 7-10 years of experience in product management, ideally with a focus on AI/ML or data-intensive products. A strong understanding of ML/AI concepts, excellent skills in creating product requirements, and proven experience in managing stakeholder relationships are essential. A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is also required.

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What makes the Imubit Sr. Data Product Manager position unique?

The Sr. Data Product Manager position at Imubit offers a unique opportunity to work at the intersection of AI technology and industrial optimization. You will be deeply involved in shaping sophisticated AI-driven products that have a tangible impact on operational efficiency and profitability for our clients. Plus, you'll collaborate with a talented team dedicated to driving innovation in the refining and chemical sectors.

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What kind of projects will the Sr. Data Product Manager work on at Imubit?

At Imubit, the Sr. Data Product Manager will engage in a variety of projects aimed at enhancing our AI platform. You will tackle critical aspects like developing strategies for product features, conducting market research, and ensuring feedback loops from customers improve our offerings. Your contributions will support the overall mission of optimizing manufacturing processes for leading Fortune-500 clients.

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Is Imubit open to providing visa sponsorship for the Sr. Data Product Manager role?

Unfortunately, Imubit does not offer visa sponsorship for the Sr. Data Product Manager role. Candidates must possess the legal right to work in the United States without requiring employer sponsorship. We look forward to attracting talent that meets these criteria!

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Common Interview Questions for Sr. Data Product Manager
Can you describe your experience with AI/ML products?

In your response, focus on specific AI or machine learning projects you have managed. Highlight your role in the development cycle and how you collaborated with engineering and data science teams to achieve success. Emphasize your understanding of infrastructure needs and challenges experienced along the way.

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How do you prioritize product features when managing multiple stakeholders?

Discuss your approach to stakeholder engagement and how you gather requirements. Illustrate your prioritization process using frameworks like MoSCoW or RICE. Be ready to provide an example where you maintained alignment among stakeholders while ensuring product goals were met.

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Give an example of a successful product launch you led in your previous roles?

Share a specific example detailing the product, your role, and the impact of the launch. Explain the strategies you used to market it and how you measured its success. Make sure to include any metrics that showcase its performance.

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What challenges do you foresee in developing AI-driven products in industrial settings?

Discuss challenges such as data integrity, integration with existing solutions, and user adoption. Your response should reflect a deep understanding of industrial processes and how AI can be leveraged to improve them, as well as the limitations that may arise.

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How do you ensure product quality and user experience?

Explain your quality assurance approach, emphasizing user feedback loops, usability testing, and data-driven iterations. It's important to express your commitment to maintaining a balance between functionality and user-centered design.

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How do you communicate complex technical requirements to non-technical stakeholders?

Your response should articulate your communication strategy. Emphasize simplifying technical jargon and using visuals or analogies. Providing an example where you successfully translated complex requirements for stakeholders will illustrate your skill.

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What tools and methodologies do you find most effective in product management?

Mention specific tools like JIRA, Trello, or Asana for project management, along with methodologies such as Agile or Scrum. Explain how you use these tools to improve team collaboration and enhance productivity.

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How do you gather and incorporate customer feedback into your product management process?

Discuss the various methods you use to collect feedback, such as surveys, interviews, and usability tests. Illustrate how you prioritize feedback, integrate it into the product development cycle, and iterate on product features based on insights received.

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Describe a time when you had to make a tough decision about a product's direction?

Provide an example of a critical decision you faced, detailing the variables you considered, the stakeholders you consulted, and the eventual outcome. Highlight your reasoning process and any lessons learned.

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What do you consider to be the most important skills for a Sr. Data Product Manager?

Outline key skills such as analytical thinking, communication, and stakeholder management. Discuss how these skills play a critical role in directing product strategy and ensuring successful product outcomes.

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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 2, 2025

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