At a Glance
- Tasks: Lead the product strategy for our cutting-edge AI/ML platform and drive impactful solutions.
- Company: Join GSK's Onyx Research Data Tech, revolutionizing data exploration for medical discovery.
- Benefits: Enjoy a collaborative environment, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI/ML innovation, making a real difference in drug discovery.
- Qualifications: Bachelor's in Computer Science or related field; 4+ years in AI/ML product development required.
- Other info: Ideal for strategic thinkers who thrive in fast-paced, dynamic environments.
The predicted salary is between 54000 - 84000 £ per year.
The Onyx Research Data Tech organization is GSK’s Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. The goal is to ensure scientists have the right data and insights when they need it to give them a better starting point for and accelerate medical discovery. Ultimately, this helps us get ahead of disease in more predictive and powerful ways.
Onyx is a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:
- Building a next-generation, metadata- and automation-driven data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity and reducing time spent on “data mechanics”.
- Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent.
- Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time.
Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications.
We are seeking a highly skilled and experienced Senior Product Manager, AIML Platform. In this role, you will be responsible for developing the product strategy of our AI/ML Platform to meet customer needs. You will partner closely with the leaders of Onyx’s customer organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power AI/ML workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our AI/ML Platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx AI/ML platform products. Additionally, as the organization scales, you will be responsible for hiring, developing, and retaining a talented team of Product Managers who possess a deep understanding of the business areas, Onyx capabilities, and how to translate customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines. This ensures our AI/ML scientists receive the solutions they need to succeed.
Key Responsibilities:
- Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML Platform product, aligning with Onyx’s overall goals and objectives.
- Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements.
- Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio teams to ensure successful product development and deployment.
- Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes.
- Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success.
- Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the AI/ML platform.
- Product Ambassador: Serve as an ambassador of the AI/ML platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers.
- Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage.
- Team Leadership: Manage and mentor a team of product managers, providing guidance, support, and fostering a culture of innovation and excellence.
Why You?
Basic Qualifications:
- Bachelor’s degree in Computer Science, Machine Learning/AI, or related discipline.
- 4+ years of product and/or engineering experience building AI/ML software.
- 2+ years of experience building cloud-based products.
- 2+ years of experience with at least one major cloud-based AI model development service, like Azure, Google Cloud’s Vertex AI, or AWS platforms.
Preferred Qualifications:
- Mastery of the English language, excellent communication and technical writing skills.
- Strong understanding of SDLC best practices, including experience with CICD and virtualization /containers.
- Strong understanding of MLOps.
- Experience with ML batch training and inference.
- Experience with ML Experiment tracking.
- Experience with ML Serving.
- Experience with High Performance Computing.
- Experience developing in Python or another commonly used scripting language.
- Robust experience in AI model development across the full model lifecycle and with multiple mediums (natural language, computer vision, sequences, etc.).
- Proven track record of managing developer platforms, tools, and / or services, ideally for research.
- Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred.
- Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction.
- Leadership Skills: Demonstrated ability to lead and inspire cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment.
- Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions.
- Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions.
- Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences.
- Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs.
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Senior Product Manager, AI/ML Platform employer: GlaxoSmithKline
Contact Detail:
GlaxoSmithKline Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Manager, AI/ML Platform
✨Tip Number 1
Familiarize yourself with the latest advancements in AI and machine learning. This will not only help you understand the technical requirements of the role but also demonstrate your passion and commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the AI/ML space, especially those who have experience in product management. Engaging in conversations with industry experts can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your understanding of cloud-based AI model development services like Azure or AWS. Being able to discuss specific projects or experiences related to these platforms can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you would approach developing a product strategy for an AI/ML platform. Think about how you would balance customer needs with technical feasibility, as this is a key aspect of the role.
We think you need these skills to ace Senior Product Manager, AI/ML Platform
Some tips for your application 🫡
Understand the Role: Before you start writing your application, make sure you fully understand the responsibilities and qualifications required for the Senior Product Manager, AI/ML Platform position. Tailor your application to highlight how your experience aligns with the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in product management, particularly in AI/ML software and cloud-based products. Use specific examples that demonstrate your ability to develop product strategies and manage cross-functional teams.
Showcase Your Technical Skills: Make sure to include your technical skills related to AI/ML, such as familiarity with cloud services (like Azure or AWS), MLOps, and programming languages like Python. This will show that you have the necessary background to succeed in this role.
Communicate Your Vision: In your cover letter, articulate your vision for the AI/ML platform and how you would approach developing a product strategy. Discuss how you would engage stakeholders and measure the success of the platform, demonstrating your strategic thinking and customer focus.
How to prepare for a job interview at GlaxoSmithKline
✨Understand the Product Strategy
Make sure you have a clear understanding of the product strategy for the AI/ML platform. Be prepared to discuss how your experience aligns with developing and executing comprehensive product strategies that drive business growth.
✨Showcase Cross-Functional Collaboration
Highlight your experience in collaborating with engineering, AI/ML, and portfolio teams. Be ready to provide examples of how you've successfully worked across different functions to ensure product development and deployment.
✨Demonstrate Customer-Centric Mindset
Prepare to discuss how you gather customer feedback and incorporate it into product planning. Share specific instances where you translated customer needs into effective product solutions.
✨Emphasize Analytical Skills
Be ready to showcase your analytical skills by discussing how you've used data to inform product decisions. Provide examples of market research or performance metrics you've utilized to drive product success.