Who we are / The Team
Bloomberg’s CTO Office is the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation infrastructure, hardware, and applications for the Bloomberg Terminal. Our projects include machine learning-powered products, cloud computing infrastructure and strategy, open source stewardship, natural language processing, and more. We are passionate about what we do.
What we do
For more than a decade, Bloomberg has been a trailblazer in its application of AI, Machine Learning, and Natural Language Processing (NLP) in finance. We build models and systems that power sentiment analysis, classification, question answering, document understanding, recommendation, and more, using state of the art AI techniques including generative AI.
Critical to this effort are our AI platforms, which enable teams to rapidly and robustly develop, deploy and maintain AI products and features. As a Technical Product Manager, you will share ownership of the product roadmap for our AI platforms, ensure that we are future proof, expand our user base, and build out new features and capabilities to fulfill our mission. You will work in a group of other highly motivated product managers that work on a range of adjacent projects in AI. You will interact very closely with internal stakeholders from product and engineering. This is a high-leverage role in a very cross-functional environment, so you’ll need to be comfortable wearing many hats and balancing technical expertise with business acumen.
What’s in it for you
We are looking for an experienced professional with a technical background to design and deliver internal products in the MLOps automation space. As a product manager, you will be responsible for infrastructure servicing the unique needs of developers that own production AI-powered applications at Bloomberg, and which ensures our AI solutions are robust, performant and reproducible.
We’ll trust you to:
- Partner closely with AI product teams to accelerate their critical machine learning projects, with a preliminary focus on maintaining and scaling machine learning operations throughout the AI lifecycl
- Interact with our machine learning and data science experts, interview them to understand their workflows and technical requirements, and develop a deep understanding of their continuous annotation, training, evaluation, and serving needs
- Develop a roadmap, design patterns and tools needed to operationalize and orchestrate AI solution deliver
- Foster a culture of collaboration with your Engineering counterparts
- Prioritize, plan, make decisions, ask the right questions, and understand how to manage resources effectively
- Develop a long-term technical strategy, roadmap, framework, guard rails, design patterns, and tools for the model development lifecycle
- Do the right thing; be part of a Product team and CTO organization that optimizes for the long term
You’ll need to have
• 5 + years of experience in a Product Management role
• Breadth of knowledge around the ML lifecycle and machine learning operations best practices across the industry
• Deep understanding of SDLC best practices, automation, GitOps and DevOps
• Experience with public cloud providers such as AWS, GCP, or Azure, or cloud-based machine learning platforms
• Organizational and communication skills to effectively coordinate and work with engineers, other product managers, and senior management
• A degree in Computer Science, Engineering, Data Science, or a similar field of study or equivalent work experience
We’d love to see
- A product-driven focus and track record of shaping business strategy and roadmaps for technical product
- Prior experience as a technical product manager or engineering technical lead
- Open source involvement or community presence
Learn more about us
We are very active in technical communities, both internally and externally. Read more about us:
• The journey to build Bloomberg’s ML Inference Platform Using KServe (formerly KFServing) (https://www.bloomberg.com/company/stories/the-journey-to-build-bloombergs-ml-inference-platform-using-kserve-formerly-kfserving/)
• Bloomberg’s Open Source company values (https://www.bloomberg.com/company/values/tech-at-bloomberg/open-source/?tactic-page=588598#our-projects)
• Artificial Intelligence (AI) | Bloomberg L.P. | About, Careers, Products, Contacts (https://www.bloomberg.com/company/values/tech-at-bloomberg/artificial-intelligence-ai/)
• Bloomberg awarded first CNCF End User Award for its contributions to Kubernetes and more | Cloud Native Computing Foundation (https://www.cncf.io/blog/2018/05/03/bloomberg-awarded-first-cncf-end-user-award-for-its-contributions-to-kubernetes-and-more/)
Salary: 140000,295000,USD,Annual
Location: New York, NY
Posted: Aug. 16, 2024, 7:46 a.m.
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