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- Tasks: Lead the development of a cutting-edge MLOps platform in the AdTech space.
- Company: Join a dynamic team focused on innovative machine learning solutions for advertising.
- Benefits: Enjoy a fully remote role with competitive pay and flexible working arrangements.
- Why this job: Shape the future of ML in advertising while collaborating with talented professionals.
- Qualifications: 5+ years in product management, with experience in AdTech and cloud-native ML platforms.
- Other info: Must be a UK resident and eligible for BPSS clearance.
The predicted salary is between 48000 - 72000 £ per year.
- Fully remote role
- Must be eligible for BPSS clearance andamp; a UK resident
- Up to £600p/d inside ir35
- Expertise in Model Training andamp; Development, CI/CD, Predictive Analysis
Role Opportunity:
We are recruiting a forward-thinking MLOps Platform Product Manager to oversee the end-to-end development of a greenfield MLOps platform, purpose-built for the fast-paced, data-driven world of AdTech. This is a rare opportunity to design and shape a core capability that will enable advanced machine learning use cases across our advertising ecosystem.
Key Responsibilities:
- Own the vision and roadmap for a scalable, secure MLOps platform.
- Streamline ML workflows in collaboration with cross-functional teams.
- Leverage existing infrastructure to define the platform architecture.
- Ensure integration with key systems (e.g. OMS, CDPs, BigQuery, BI tools).
- Translate business needs into agile product delivery.
- Drive adoption through best practices in ML operations and responsible AI.
- Work with backend and platform engineers to identify technical gaps, scope work
Deliver core platform features such as:
- Orchestration of model training and CI/CD for ML (e.g. MLflow, Kubeflow, Vertex AI).
- Model versioning, monitoring, and governance.
- Support key AdTech use cases, including Marketing Mix Modelling (MMM), Real-time personalisation and bidding, Audience segmentation and targeting, Predictive campaign analytics
Qualifications andamp; Experience:
- 5+ years in product management, including 2+ in AdTech, MarTech, or digital media.
- Track record of building ML platforms from the ground up in cloud-native environments.
- Strong grasp of programmatic advertising, attribution, campaign measurement, and media mix optimisation.
- Familiar with GCP and tools such as BigQuery, Vertex AI, Dataflow, Airflow, and dbt.
- Excellent communicator with proven ability to align cross-functional teams.
To be Considered:
Please either apply by clicking online or emailing me directly to henry.clay-davies@searchability.com. For further information please call me on 0161 4166800 or 07719065951. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process andamp; submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to follow me on Twitter @SearchableHenry or connect with me on LinkedIn, just search Henry Clay-Davies. I look forward to hearing from you!
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MLOps Platform Product Manager employer: Searchability
Contact Detail:
Searchability Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MLOps Platform Product Manager
✨Tip Number 1
Familiarise yourself with the latest trends in MLOps and AdTech. Understanding the current landscape will help you speak confidently about how you can contribute to our greenfield MLOps platform.
✨Tip Number 2
Network with professionals in the MLOps and AdTech fields. Engaging with others in the industry can provide insights into best practices and may even lead to referrals that could boost your application.
✨Tip Number 3
Prepare to discuss specific examples of your experience with CI/CD processes and model training. Being able to articulate your past successes will demonstrate your capability to manage our MLOps platform effectively.
✨Tip Number 4
Showcase your communication skills by being clear and concise when discussing your ideas. As a Product Manager, aligning cross-functional teams is crucial, so practice articulating your vision for the platform.
We think you need these skills to ace MLOps Platform Product Manager
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the MLOps Platform Product Manager position. Tailor your application to highlight relevant experience in product management, particularly in AdTech or MarTech.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with model training, CI/CD processes, and predictive analysis. Provide specific examples of projects where you've built ML platforms or worked in cloud-native environments.
Showcase Communication Skills: Since excellent communication is key for this role, ensure your application reflects your ability to align cross-functional teams. Use clear and concise language, and consider including examples of successful collaboration in previous roles.
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements mentioned in the job description. Mention your familiarity with tools like GCP, BigQuery, and Vertex AI, and how they relate to the responsibilities of the role.
How to prepare for a job interview at Searchability
✨Showcase Your MLOps Knowledge
Make sure to highlight your expertise in MLOps, particularly in model training and CI/CD processes. Be prepared to discuss specific tools you've used, such as MLflow or Kubeflow, and how they contributed to successful projects.
✨Demonstrate Cross-Functional Collaboration
Since the role involves working with various teams, share examples of how you've successfully collaborated with cross-functional groups in the past. This could include working with engineers, data scientists, or marketing teams to achieve a common goal.
✨Understand AdTech Fundamentals
Familiarise yourself with key concepts in AdTech, such as programmatic advertising and campaign measurement. Being able to speak knowledgeably about these topics will show that you understand the industry and can contribute effectively.
✨Prepare for Technical Questions
Expect technical questions related to platform architecture and integration with systems like BigQuery and GCP. Brush up on your technical knowledge and be ready to discuss how you've tackled similar challenges in previous roles.
