Team Lead — Enterprise AI London, GBR Posted today

Team Lead — Enterprise AI London, GBR Posted today

Full-Time 72000 - 88000 £ / year (est.) No working from home possible
Bloomberg L.P.

At a Glance

  • Tasks: Lead and grow a team to develop enterprise AI solutions that transform workflows.
  • Company: Bloomberg, a leader in financial technology and innovation.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: Join a diverse team committed to innovation and excellence.
  • Why this job: Shape the future of AI in finance and make a real impact on businesses.
  • Qualifications: Proven product leadership experience in enterprise software or AI platforms.

The predicted salary is between 72000 - 88000 £ 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 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.

We're seeking an experienced product leader to build Bloomberg's enterprise AI business across privacy, capacity management, team sharing/collaboration with firm level data and firm level admin and access controls. As Team Lead for Enterprise AI, you'll own the product vision, overall strategy, commercials and pricing for how firms adopt, govern and scale AI across their organizations — and you'll lead and grow a team of product managers who deliver the capabilities that make firm-level AI adoption possible: firm privacy, AI capacity management, team sharing and collaboration, and central firm administration.

You'll be the single leader accountable for turning a per-seat assistant into a firm-wide AI platform — setting direction, holding the pillars together as one coherent product, owning the commercial model, and expanding the business into new cohorts such as research, private credit and insurance. You'll represent the product to senior leadership and enterprise clients, and be measured on the firms won, revenue and firm-wide adoption it delivers.

Own the business. As the team leader of Bloomberg's enterprise AI product, you'll set the vision and strategy, own commercials and pricing end-to-end, and be accountable for the P&L levers behind it — building a commercial model that lets regulated firms adopt ASKB at scale across ASKB+, ASKB Teams and ASKB Enterprise, consistent with Bloomberg's other enterprise products.

Lead the team. You'll lead, mentor and grow a team of product managers, each owning part of the enterprise offering — the privacy controls firms need to say yes, the capacity model and pricing that scale with AI usage, the sharing and collaboration that turn per-seat AI into a firm-wide platform, and the central admin tooling that lets a firm onboard and govern it. You'll hold these to one product vision, set priorities across them, and unblock delivery so they ship in parallel rather than one at a time.

You'll work directly with clients to understand how firms want to deploy AI, translate those needs into detailed Product Requirement Documents and delivery requirements, and partner across Product, UX, Engineering, Commercial and Sales to deliver solutions that accelerate adoption.

We'll trust you to:

  • Own the product vision, overall strategy and roadmap for Bloomberg's enterprise AI solutions, holding privacy, capacity, collaboration and administration together as one coherent enterprise product.
  • Own commercials and pricing strategy end-to-end — packaging, pricing and go-to-market for the enterprise AI tiers (ASKB+, ASKB Teams, ASKB Enterprise), consistent with Bloomberg's other enterprise products, and be accountable for the revenue it drives.
  • Lead, mentor and grow the team of product managers responsible for firm privacy, AI capacity management, team sharing and collaboration, and central firm administration — setting direction, prioritising across the pillars and unblocking delivery.
  • Own the enterprise tiering commercials — capacity as both a product and a pricing lever, tiered and pooled subscriptions, and the cost, usage and telemetry data behind every pricing decision.
  • Develop the enterprise administration, governance and privacy capabilities regulated financial institutions require — admin tooling, user controls, entity-level privacy options, data residency, auditability, capacity management and content governance.
  • Define how teams collaborate around AI — shared context, projects, agents, workflows, connectors and firm knowledge, both inside the firm and outward to non-Bloomberg users and third-party applications.
  • Grow the business into new cohorts — expand beyond research into adjacent front-office segments such as private credit and insurance.
  • Work directly with enterprise clients to understand AI adoption strategies, validate concepts, and translate needs into detailed PRDs and requirements for delivery teams.
  • Define KPIs and adoption metrics for Bloomberg's enterprise AI offerings, using telemetry and customer insight to shape direction.
  • Communicate product vision, roadmap and commercial performance to senior leadership, building alignment across Product, Engineering, Commercial and Sales.

You'll need to have:

  • Proven product leadership experience within enterprise software, SaaS or AI platforms, including leading initiatives from concept through launch — and, ideally, leading or mentoring other product managers.
  • Strong experience owning commercials and pricing strategy for enterprise or SaaS products.
  • Hands‑on experience with AI / LLM-based products or enterprise productivity platforms.
  • A solid understanding of enterprise software administration, governance and security.
  • Experience setting product vision and strategy across multiple workstreams and holding them to a coherent whole.
  • Experience authoring Product Requirement Documents and managing complex cross‑functional roadmaps.
  • Strong analytical skills — using telemetry, adoption metrics, and cost and usage data to shape product and pricing 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 and commercial ownership with detailed execution in a fast‑moving environment.

We’d love to see:

  • Experience leading a product team or owning a product line end‑to‑end, including its commercials.
  • Experience with the Bloomberg Terminal or Bloomberg Enterprise products.
  • Experience building enterprise AI and collaboration solutions.
  • Familiarity with SaaS commercial models, including usage‑based or capacity‑based pricing.
  • Experience with enterprise identity, governance or administration platforms.
  • Knowledge of enterprise integrations — APIs, connectors, SharePoint, 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 for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net

Team Lead — Enterprise AI London, GBR Posted today employer: Bloomberg L.P.

Bloomberg is an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration among its 20,000+ employees. With a strong focus on employee growth, Bloomberg provides rigorous training and development opportunities, ensuring that team members are well-equipped to excel in their roles. The company's commitment to diversity and inclusion, along with its cutting-edge technology and resources, makes it an attractive place for professionals seeking meaningful and rewarding careers in the financial solutions sector.

Bloomberg L.P.

Contact Details:

Bloomberg L.P. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Team Lead — Enterprise AI London, GBR Posted today

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We think you need these skills to ace Team Lead — Enterprise AI London, GBR Posted today

Product Leadership
Enterprise Software
SaaS
AI Platforms
Commercial Strategy
Pricing Strategy
Product Requirement Documents (PRDs)

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Bloomberg L.P..

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Bloomberg L.P. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Bloomberg L.P.

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Bloomberg L.P. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.