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Model Predictive Control Jobs in Utah (NOW HIRING)

Senior Growth Product Manager

Lehi, UT · On-site

$118K - $156K/yr

Oversee careful rollout strategies-including phased launches, A/B testing, and control groups-to ... You believe Product-Led Growth is an operating model, not a feature, and you thrive in environments ...

Senior Growth Product Manager

Lehi, UT · On-site

$118K - $156K/yr

Oversee careful rollout strategies-including phased launches, A/B testing, and control groups-to ... You believe Product-Led Growth is an operating model, not a feature, and you thrive in environments ...

... control, sensing, and protection, delivering faster power delivery, higher system density, and ... Skills: Advanced Excel VBA programming, data modeling, and professional English communication ...

Showing results 41-47

Model Predictive Control information

What is model predictive control?

Model Predictive Control (MPC) is an advanced method of process control that uses a mathematical model to predict and optimize the future behavior of a system. It works by solving an optimization problem at each control step to determine the best sequence of control actions, taking into account system constraints and objectives. MPC is widely used in industries such as chemical processing, energy, and automotive because it can handle multivariable control problems and anticipate future events. Its predictive nature allows for improved performance, stability, and efficiency compared to traditional control methods.

What is the difference between Model Predictive Control vs Control Systems Engineer?

AspectModel Predictive ControlControl Systems Engineer
CredentialsEngineering degree, control theory, process modelingEngineering degree, control systems, automation
Work EnvironmentIndustrial automation, process control, manufacturingDesign, develop, and maintain control systems across industries
Industry UsageProcess industries, chemical, oil & gas, manufacturingAutomation, robotics, embedded systems, industrial sectors

Model Predictive Control (MPC) focuses on advanced control algorithms for optimizing processes, while Control Systems Engineers design and implement various control systems. MPC is a specialized skill within control engineering, often requiring knowledge of process modeling and optimization, whereas Control Systems Engineers have broader responsibilities across multiple control technologies. Both roles are essential in industrial automation but differ in scope and application.

What are the typical challenges faced by engineers working with model predictive control systems in an industrial setting?

Engineers working with Model Predictive Control systems often encounter challenges related to model accuracy, computational demands, and real-time implementation. Ensuring the process model accurately represents the plant dynamics is critical, as discrepancies can lead to suboptimal control performance. Additionally, MPC algorithms can be computationally intensive, particularly for large-scale or fast processes, requiring careful tuning and optimization to maintain real-time operation. Collaboration with process engineers and IT specialists is common, as integrating MPC with existing control systems and plant infrastructure is a key part of the role.

What are the key skills and qualifications needed to thrive as a model predictive control engineer, and why are they important?

To thrive as a Model Predictive Control Engineer, you need strong foundations in control theory, applied mathematics, and process engineering, usually supported by a degree in engineering or a related field. Proficiency with simulation tools such as MATLAB/Simulink, programming languages like Python or C++, and familiarity with industrial automation systems are typically required. Analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These skills are essential for designing, implementing, and optimizing advanced control algorithms that improve system performance and reliability in complex industrial environments.
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Infographic showing various Model Predictive Control job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Senior Growth Product Manager

Adobe, Inc.

Lehi, UT • On-site

$118K - $156K/yr

Full-time

Re-posted 24 days ago


Adobe rating

8.9

Company rating: 8.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

40th of 242 rated software companies


Job description

Senior Growth Product Manager - Adobe Experience Cloud
The Opportunity
Adobe Experience Cloud enables enterprises to deliver personalized, data-driven digital experiences at scale. We are seeking a Senior Growth Product Manager to drive Product-Led Growth (PLG) across Experience Cloud products by accelerating user acquisition, activation, engagement, retention, and expansion.
This role is ideal for a growth leader with deep experience in B2B SaaS and Digital Marketing Technology, who thrives at the intersection of product, experimentation and data. You will drive and implement growth strategies across key user journeys, partnering closely with Engineering, Design, Data Science, and Go-To-Market teams to turn customer insight into scalable growth engines.
What You'll Do
Growth Strategy & Lifecycle Management
  • Drive and evolve end-to-end growth strategies across acquisition, activation, engagement, retention, and expansion for an Experience Cloud product.
  • Identify and prioritize high-impact growth opportunities using data, research and experimentation.
  • Develop and prioritize a growth roadmap tied to clear business impact.

Experimentation & Optimization
  • Design, launch, and analyze a high-velocity experimentation program across critical user journeys.
  • Drive rapid test-and-learn cycles that ensure rigorous experiment design by establishing clear hypotheses, calculating statistical power, and implementing appropriate guardrails.
  • Collaborate with engineering and data teams to build robust instrumentation for accurate measurement and monitoring. Oversee careful rollout strategies-including phased launches, A/B testing, and control groups-to minimize risk and improve actionable insights.

Technology-Based Growth Initiatives
  • Identify, prioritize, and ship product experiences powered by advanced technology that improve conversion and retention-e.g., personalization, predictive mentorship, and intelligent onboarding.
  • Use AI to speed up experiment ideation, hypothesis generation, copy/variant drafting, and analysis-while maintaining statistical rigor and human review.

Cross-Functional Collaboration
  • Partner with cross-functional leaders to co-develop and implement growth initiatives, navigating trade-offs and driving alignment across teams
  • Proven ability to influence product roadmaps and drive outcomes in a matrixed environment without direct authority
  • Strong stakeholder management skills, with experience aligning multiple teams around shared goals

Work in close coordination with:
  • Product Leaders who own core product to co-develop and implement a growth roadmap
  • Engineering to implement experimentation infrastructure
  • Design & UX Research to optimize onboarding and feature discovery
  • Marketing to align product growth levers with acquisition strategies
  • Finance & Data Science to quantify business impact

What You Need to Succeed
  • 5+ years of Growth Product Management experience, with significant focus on experimentation-driven optimization.
  • Proven experience driving B2B Product-Led Growth in SaaS or Digital Marketing Technology platforms.
  • Experience implementing and executing experimentation tools.
  • Deep expertise in experimentation frameworks, behavioral analytics, funnel optimization, and cohort analysis.
  • Solid understanding of enterprise customer journeys, including self-serve, sales-assisted, and hybrid motions.
  • Fluency in applying AI to product discovery, experimentation, and growth workflows, with a commitment to continuous skill development.
  • Hands-on experience using AI-assisted tools for accelerating prototyping and insight generation.
  • Demonstrated ability to translate data and customer insight into shipped product experiences with measurable impact.
  • Excellent communication skills, with the ability to synthesize insights into clear narratives that drive action.

Most Importantly
You value outcomes over activity, learning over certainty, and are deeply customer obsessed. You believe Product-Led Growth is an operating model, not a feature, and you thrive in environments where experimentation, insight, and collaboration drive impact.
If this sounds like you, we'd love to have you help shape the future of Experience Cloud.
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let's Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $125,800 -- $239,725 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $165,600 - $239,725
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982