Technical Product Manager, Large Language Model Platforms - CTO Office - Avature : Job Details

Location: New York

Business Area: Engineering and CTO

Ref #: 10038764

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's In It For You:

Bloomberg is looking for a Technical Product Manager to shape and execute the vision and roadmap for the next-generation Bloomberg Generative AI platform. As a Technical Product Manager, you will have ownership over a suite of infrastructure, grow our Generative AI services, expand our user base, and build out new features and capabilities to fulfill our mission. 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. You will work in a group of other highly motivated product managers that work on a range of adjacent projects in AI.

We'll trust you to:

• Develop a long-term vision and roadmap that incorporates the latest advances from academia and industry for Bloomberg's next-generation large language model platform and services.
• Translate product roadmap features and requirements into well-crafted, testable user stories and acceptance test criteria, set priorities and define the scope whilst effectively managing resources.
• Interact with end users and a diverse group of partners to understand their workflows and technical requirements and their needs for creating, managing and accessing large language models.
• Work closely with stakeholders across the company to develop an understanding of capabilities, constraints and opportunities, anticipate scale challenges, map business requirements to technical vision, and increase service capabilities to better support internal and external partners.
• Work in an Agile environment and continuously review business needs, refine priorities, outline milestones and deliverables, and identify opportunities and risks.
• 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 with technical product management or technical leadership.
• 5+ years of experience with deep learning or 3+ years of experience product managing generative AI products or platforms.
• Engagement with the research or open source community around generative AI.
• Organizational and communication skills to effectively coordinate and work with engineers, other product managers, and senior management.
• A product-driven focus and track record of shaping business strategy and roadmaps for technical products.
• Advanced degree (Masters or Ph.D) or equivalent experience in a computing discipline with a specialization in deep learning or ML systems.

We'd love to see:

• A good understanding of financial markets, instruments and products.
• Open source involvement or community presence.
• Exposure to Bloomberg Terminal and/or enterprise data products.

Salary Range: 140###-####00 USD Annually + Benefits + Bonus

The 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, 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.