Technical Product Manager - AI Platforms - Data for ML - CTO Office










Location


New York




Business Area


Engineering and CTO




Ref #


10037871










Description & Requirements

Who we are / The TeamBloomberg’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 DoFor 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 / Your RoleWe are looking for an experienced professional with a technical background to design and deliver infrastructure to support  data onboarding, engineering, and cataloging for AI. As a product manager, you will be responsible for platforms that service the unique needs of developers creating AI-driven applications at Bloomberg. Examples of areas you could be working on include:Simplifying data enablement workflows; liaising with data-producing teams at Bloomberg to onboard data for AI and make relevant metadata discoverable.Streamlining data access patterns throughout the entire machine learning lifecycle, from exploratory data science and analytics, to large-scale training, to feedback pipelines at model serving time.Expanding our infrastructure portfolio with data quality, enrichment, and other data value-add needs to make a cohesive experience when curating AI-ready data.We’ll trust you toPartner closely with AI product teams to accelerate their critical machine learning projects, with a preliminary focus on data enablement initiatives for generative AIInteract with our machine learning and data science experts, interview them to understand their workflows and technical requirements, develop a deep understanding of their data needs Develop a roadmap, design patterns and tools needed to empower, operationalize, and automate data deliveryFoster a culture of collaboration with your Engineering counterpartsPrioritize, plan, make decisions, ask the right questions, and understand how to manage resources effectivelyDevelop a long-term technical strategy, roadmap, framework, guard rails, design patterns, tools for improving data access to support ML workflowsDo the right thing; be part of a Product team and CTO organization that optimizes for the long termYou’ll need to have5 + years of experience in a Product Management roleExperience working with data teams and automating ML and other data-intensive applications development workflowsDeep understanding of identity and access managementOrganizational and communication skills to effectively coordinate and work with engineers, other product managers, and senior managementA product-driven focus and track record of shaping business strategy and roadmaps for technical productsA degree in Computer Science, Engineering, Data Science, similar field of study or equivalent work experienceWe’d love to seeExperience with public cloud providers such as AWS, GCP, or Azure, or cloud-based machine learning platformsProven data literacy, understanding of data lineage and provenanceBreadth of knowledge around data streaming, storage, cataloging, and retrieval technologies such as S3, HDFS, Hadoop, HBase, Hive, Trino, Presto, Cassandra, Spark, Flink, KafkaPrior experience as a technical product manager or engineering technical leadOpen source involvement or community presence Learn more about usWe 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)Bloomberg’s Open Source company valuesArtificial Intelligence (AI) | Bloomberg L.P. | About, Careers, Products, ContactsBloomberg awarded first CNCF End User Award for its contributions to Kubernetes and more | Cloud Native Computing Foundation




Salary Range = 140000 - 295000 USD Annually + Benefits + BonusThe referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation, [Exempt roles only], paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.