At a Glance
- Tasks: Lead product strategy for Bloomberg's enterprise AI solutions and enhance client collaboration.
- Company: Join Bloomberg, a leader in AI-driven financial technology.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Shape the future of AI in finance and make a real impact.
- Qualifications: Experience in product management, AI platforms, and enterprise software.
The predicted salary is between 80000 - 100000 £ per year.
Bloomberg's AI is transforming how investment professionals discover information, run analysis, automate workflows and collaborate across their organizations.
ASKB has quickly become a primary conversational interface to for Bloomberg Terminal users — letting users interact with Bloomberg's data, analytics, news and applications in natural language, powered by specialized AI agents and grounded in three principles: accuracy, transparency and trusted content.
As firms increasingly look to deploy AI at an enterprise level, Bloomberg is bringing enterprise-grade administration, governance and collaboration to its AI capabilities — so firms can adopt AI across teams and departments while maintaining security, governance and trust.
This is one of Bloomberg's most exciting product areas, combining AI, enterprise software and workflow transformation.
The role
We're seeking an experienced Product Manager to help define and execute the product strategy for Bloomberg's enterprise AI solutions.
You will help transform how firms adopt, govern and scale AI across their organizations — working closely with Engineering, Sales, CFO and enterprise clients to shape the next generation of Bloomberg's AI offerings.
Enable enterprise trust.
Working directly with clients, define the privacy, governance and administrative capabilities regulated financial institutions need to deploy AI with confidence — admin tooling, user controls, enterprise privacy settings, content governance, auditability, capacity management, pricing and deployment options.
Accelerate adoption.
Define how teams collaborate around AI — how users share context, projects, workflows, agents and firm knowledge — through collaboration capabilities, enterprise connectors and shared content that increase adoption across the organization.
You'll work directly with clients to understand how firms want to deploy AI, translate those needs into detailed Product Requirement Documents, and partner across Product, UX and Engineering teams to deliver solutions that accelerate adoption.
- We'll trust you to
- Own the product strategy and roadmap for Bloomberg's enterprise AI solutions.
- Develop the enterprise administration, governance and privacy capabilities regulated financial institutions require — user controls, capacity management, privacy options, auditability and content governance.
- Define how teams collaborate around AI — shared context, projects, agents, workflows, connectors and enterprise knowledge management.
- Work directly with enterprise clients to understand AI adoption strategies, validate concepts and translate needs into detailed PRDs.
- Partner across Product, Engineering, Commercial Management and Sales to deliver capabilities that accelerate adoption and support go-to-market.
- Define KPIs and adoption metrics for Bloomberg's enterprise AI offerings, using telemetry and customer insight to shape direction.
- Communicate product vision, roadmap and progress to senior leadership, building alignment across Product, Engineering and Commercial teams.
- You'll need to have
- Strong product management experience within enterprise software, Saa S or AI platforms, including leading initiatives from concept through launch.
- Hands-on experience with AI / LLM-based products or enterprise productivity platforms.
- Strong experience on commercials and pricing strategy.
- A solid understanding of enterprise software administration, governance and security.
- Experience authoring Product Requirement Documents and managing complex cross-functional roadmaps.
- Strong analytical skills — using telemetry, adoption metrics and customer insight to shape product direction.
- Outstanding written and verbal communication, with the ability to influence senior stakeholders across Product, Engineering, Sales and Executive Management.
- Experience working directly with enterprise clients to define product strategy and validate solutions.
- The ability to balance strategic thinking with detailed execution in a fast-moving environment.
- We\'d love to see
- Experience with the Bloomberg Terminal or Bloomberg Enterprise products.
- Experience building enterprise AI and collaboration solutions.
- Familiarity with Saa S commercial models.
- Experience with enterprise identity, governance or administration platforms.
- Knowledge of enterprise integrations — APIs, connectors, Share Point, Snowflake, Databricks or MCP frameworks.
- Domain fluency in financial markets and how regulated institutions evaluate technology.
If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
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Product Manager — Enterprise AI employer: Bloomberg
Bloomberg is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a strong emphasis on employee growth, you will have access to numerous professional development opportunities while working in a cutting-edge environment that values your contributions to the data manufacturing infrastructure. Located in a vibrant city, Bloomberg provides unique advantages such as a diverse workforce and a commitment to work-life balance, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager — Enterprise AI
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Bloomberg!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Bloomberg would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Bloomberg through your school's career services!
We think you need these skills to ace Product Manager — Enterprise AI
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Product Manager — Enterprise AI, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Product Manager — Enterprise AI position at Bloomberg. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Bloomberg
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
