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LSEG

AI Product Manager, Workflows

LSEG is hiring an AI Product Manager, Workflows in Bucharest, Romania. Level rates it ; you can apply on LSEG.

Level's read on this job

  • Level rates this AI product manager role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include Copilot, AI agents and AI automation.
  • Level classifies it as a mid-level role.
  • Level lists 665 other open roles at LSEG.
  • The role was posted in the last few days.

AI in this role

copilot
ai-agentsai-automationai-evaluationai-productai-safety

Role summary

As an AI Product Manager for AI & Agentic Workflows, you will drive the strategy, roadmap and delivery of the AI layer that powers intelligent search and agentic experiences across LSEG Workspace. You will play a central role in evolving a flagship AI product now live in general availability.

You will work hands-on with full-stack squads of Engineers, Data Scientists and Product Designers — shaping what gets built, how it gets measured and how it lands with users. Your focus will be on making AI experiences faster, smarter and more extensible: expanding coverage across asset classes and data domains, designing new agentic workflows, and building the evaluation frameworks that keep quality high as the product scales.

This is a role for someone who thrives at the intersection of AI, product craft and financial workflows — someone who can translate complex technical systems into experiences that users genuinely value. You will be encouraged to take ownership, and with a flat organisational structure will have regular opportunities to interact with senior leaders and make a visible contribution to the team and the platform.


Key responsibilities

  • Own and drive the product roadmap for AI-driven search, orchestration and agentic workflows, balancing the quality and reliability of a live GA product with commercial growth.
  • Drive the integration of new data sources and capabilities, expanding coverage across asset classes and data domains while keeping complexity low.
  • Shape the design and delivery of domain-specific AI agents - working with business communities, Engineering and Data Science to extend Workspace AI into new specialised use cases.
  • Design and evolve AI evaluation frameworks and quality metrics to measure performance, accuracy and relevance in real-world financial workflows.
  • Lead user discovery and continuous feedback loops, conducting research and integrating behavioural analytics and telemetry into product development to refine AI experiences.
  • Define KPIs, analyse usage and consumption data, and leverage user feedback to continuously optimise product performance and adoption.
  • Collaborate with platform and community teams to prioritise features that improve engagement and deliver measurable business outcomes across Workspace surfaces including Teams and M365 Copilot.
  • Partner with Legal, Compliance and Data Rights teams to keep the product compliant, embedding data usage standards and Responsible AI requirements.
  • Manage dependencies across multiple workstreams, acting as a connector to keep teams aligned end-to-end.
  • Lead agile ceremonies and ensure alignment with organisational objectives and key results.
  • Embed a data-informed process so your teams can make fast, good decisions grounded in user behaviour and engagement.

What you'll bring

  • A proven track record of building successful, large-scale client-facing products - ideally where AI, search or intelligent automation was central.
  • A data-driven product management approach where product decisions are deep rooted in telemetry, user research and analytics.
  • 3+ years of experience in product management, ideally in a matrixed, global organisation.
  • Familiarity with AI/LLM ecosystems and modern experimentation and evaluation methods.
  • Deep understanding of financial industry workflows and customer problems, with the ability to translate these into compelling product stories and actionable requirements.
  • Working knowledge of Python and SQL, with the ability to query and analyse product data directly and prototype ideas.
  • Strong instinct for design and user experience, with the judgement to know what "great" feels like and the standards to hold teams to it.
  • Genuine excitement about AI and a point of view on how it transforms how people discover, analyse and act on financial data.
  • Proven ability to lead cross-functional teams and align diverse stakeholders across Product, Engineering, UX, Data Science, Legal and Compliance.
  • Comfort operating in a fast-moving environment with shifting priorities, balancing delivery pace with quality.
  • Strong communication skills and the ability to engage stakeholders at all levels — across Engineering, Data Science and business teams.
  • A curious mindset and an appetite for exploring new technologies to improve how products are built and delivered.

Who you'll be working with

AI Product Managers and Product Leads across the AI & Personalisation organisation, Software Engineers, Architects, Data Scientists, Product Designers, Delivery Managers, Scrum Masters, Technology Leaders, Community Leads, Legal and Compliance teams, Customer Success Managers, and senior business stakeholders.

Career Stage:

Senior Associate

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

How we rate this

AI Product Manager, Workflows at LSEG rates 74 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsAI AutomationAI EvaluationAI ProductAI SafetyCopilot

Also common in AI product manager jobs at this level

Pay

Typical AI product manager job
$178k

This posting doesn't list pay. Use the typical AI product manager figure when pay comes up. See AI product manager jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a workflow you automated with AI tools, end to end.
  3. How do you decide that one model's output is better than another's for a given task?
  4. How do you decide which parts of a product should use AI versus a fixed set of rules?
  5. How do you think about the risk of an AI system in this kind of role failing silently?

Adapt your resume

  • List these exact terms on your resume: AI agents, AI Automation, AI Evaluation, AI Product, and AI Safety. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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