Product Manager, Asset Performance in City of Westminster

Product Manager, Asset Performance in City of Westminster

City of Westminster Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
C3.ai, Inc.

At a Glance

  • Tasks: Lead the development of AI-based asset performance products and collaborate with diverse teams.
  • Company: Join C3 AI, a leader in enterprise AI applications transforming industries globally.
  • Benefits: Enjoy competitive pay, equity options, and excellent benefits in a dynamic work environment.
  • Other info: Opportunity for rapid growth and learning in cutting-edge AI technology.
  • Why this job: Make a real impact by solving complex challenges in asset management and manufacturing.
  • Qualifications: 4+ years in product management and asset performance; STEM degree preferred.

The predicted salary is between 63000 - 77000 £ per year.

C3 AI (NYSE: AI) is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise.

As a Product Manager, Asset Performance, you will serve as the primary focal point for C3 AI product efforts in AI-based asset performance use cases. You will leverage your prior experience and gain deep expertise in our products to develop enterprise AI applications that deliver meaningful business value for our customers. You will collaborate with customers and internal teams through the planning, design, and implementation stages of C3 AI applications to positively impact our success. C3 AI Asset Performance applications span across multiple industries, such as oil & gas, utilities, life sciences, defense, manufacturing, and utilities. You will be building SaaS products that provide value to solve important and complex asset management and manufacturing challenges: process optimization (yield, quality, throughput), reliability, predictive maintenance, field services, etc.

Responsibilities

  • Prepare, maintain, and own all aspects of your SaaS product(s): Vision for a comprehensive feature roadmap, detailed product specification documentation, user experience, customer satisfaction and QA, market positioning and customer targeting and segmentation, differentiated collateral to support sales, including customer testimonials and case studies.
  • Develop a thorough understanding of C3 AI Applications to clearly communicate technical capabilities and business impact to customers.
  • Support pre-sales activities (trials, pilots) to ensure consistent and successful use of existing SaaS applications across our global customer base.
  • Positively influence sales, engineering, and customers to ensure success of your product.
  • Collaborate with the C3 AI Customer Success team to ensure our customers deliver on their Digital Transformation Vision.
  • Effectively and proactively communicate with customers and build a trusted advisor relationship.
  • Regular travel (25+%) to customer sites.

Qualifications

  • Bachelor of Science in STEM field; MBA or Master of Science preferred.
  • 4+ years of work experience in asset performance (reliability, optimization) and product management roles.
  • Project, educational, or self-taught experience in big data, analytics, and data science is a plus.
  • Significant relevant experience in, or supporting, complex manufacturing or energy businesses.
  • The ideal candidate will fluently understand advanced asset performance management concepts (yield prediction and optimization, for example) and associated user persona requirements.
  • Excellent verbal and written communication and presentation skills.
  • Strong problem-solving skills and bias for action - you have the ability to navigate both business and technical domains and will provide guidance to internal and external implementation teams.
  • Time-management and prioritization - you are comfortable simultaneously working across many projects, both collaboratively across diverse teams (including customer-facing and internal teams) and self-starting initiatives.
  • Desire to quickly grow subject matter expertise in supply chain use cases - you are excited to learn about both C3 AI technology and relevant industry domains (such as manufacturing, energy, or life science).
  • Value self-learning - you habitually further your understanding of relevant areas of interest, such as AI, cloud computing, and software development.

Candidates must be authorized to work in the United States without the need for current or future company sponsorship. C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. California Base Pay Range $161,000—$194,000 USD.

Product Manager, Asset Performance in City of Westminster employer: C3.ai, Inc.

C3 AI is an exceptional employer that fosters a dynamic and innovative work culture, perfect for Senior Software Engineers looking to make a significant impact in the field of enterprise AI. With a strong focus on employee growth, C3 AI offers comprehensive benefits, competitive compensation, and a generous equity plan, all while providing opportunities to collaborate with talented teams in a cutting-edge environment located in California. Join us to be part of a forward-thinking company that values diversity and encourages professional development.

C3.ai, Inc.

Contact Details:

C3.ai, Inc. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Product Manager, Asset Performance in City of Westminster

Join Product Management Meetups

Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like C3.ai, Inc.!

Show Off Your Product Sense

Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at C3.ai, Inc. would be by your initiative!

Utilise Online Communities

Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.

Leverage Your University Network

If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at C3.ai, Inc. through your school's career services!

We think you need these skills to ace Product Manager, Asset Performance in City of Westminster

Product Management
Asset Performance Management
Reliability Engineering
Process Optimisation
Predictive Maintenance
Data Analytics
Communication Skills

Some tips for your application 🫡

Show Off Your Product Passion:When applying for a product management role like Product Manager, Asset Performance, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!

Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!

Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.

Tailor Your CV to the Role:Make sure your CV is tailored for the Product Manager, Asset Performance position at C3.ai, Inc.. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!

How to prepare for a job interview at C3.ai, Inc.

Understand the Product Life Cycle

As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.

Showcase Your Cross-Functional Skills

Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.

Prepare for Case Studies

In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.

Know Your Metrics

Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.