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LSEG

Associate Product Manager – Enterprise AI Platform

  • Office
  • 0-3 years

Salary

Not stated

Similar roles pay £75K - 125K a year · our estimate

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Description

The company provides financial markets infrastructure and data services worldwide and has supported financial stability and growth for more than 300 years.

It is headquartered in the UK, with major operations in 70 countries across EMEA, North America, Latin America and Asia Pacific, and employs 25,000 people, more than half of them in Asia Pacific.

This role sits within Enterprise AI and supports the strategy, roadmap and delivery of core platform capabilities that let the company expand AI securely, at scale and under governance across its product portfolio.

It is an early-career role for a product manager who wants to build skills across many platform and enablement areas, helping teams build AI-powered products on one shared enterprise platform.

The company describes its culture as collaborative and creative, encourages new ideas, and is committed to sustainability, including helping customers meet their own sustainability goals.

Responsibilities

  • Help shape the vision, strategy and roadmap for the Enterprise AI Platform, working with product managers and engineering teams.
  • Share product direction for one or more platform areas, such as platform services, developer tooling, agent capabilities, governance and enablement, as you are assigned.
  • Get hands-on with frontier AI products by prototyping, building and testing them with customers.
  • Work with engineering to deliver secure, scalable and reliable platform features, track progress and flag blockers early.
  • Help keep platform standards, documentation and reusable services up to date for AI product teams.
  • Support uptake of shared AI infrastructure and tools by collecting feedback from internal teams and users.
  • Work with security, architecture, governance and risk teams so features stay within company rules and meet the standards expected for responsible AI.
  • Talk with product teams across the company to gather requirements, write up use cases and help set roadmap priorities.
  • Help define and monitor success measures for adoption, operational performance and developer experience.
  • Help coordinate platform initiatives with industry partners and cloud providers.
  • Contribute to the Enterprise AI strategy by supporting delivery of core platform capabilities.

Requirements

  • A bachelor's degree in Finance, Computer Science, Engineering or Information Systems, or equivalent experience.
  • Early-career experience in product management, business analysis, engineering or a related field, with internships and graduate schemes counted.
  • Strong communication skills and the ability to collaborate across functional teams.
  • Curiosity, a quick learning pace, and comfort in a field that changes fast.
  • Desirable: some understanding of, or strong interest in, AI platforms, LLM ecosystems, APIs and enterprise software.
  • A plus: experience or coursework with software platforms, APIs or cloud-native services.
  • Preferred: exposure to financial data, analytics systems or enterprise-scale data workflows.
  • Preferred: familiarity with basic BI tools, metrics dashboards or monitoring stacks.
  • Preferred: prior work in or alongside technology teams in a large organisation.

Conditions

The career stage for this role is listed as Senior Associate.

The company is an equal opportunities employer and makes reasonable accommodations, including for religious practice and disability.

Benefits

  • Healthcare cover.
  • Retirement planning support.
  • Paid volunteering days.
  • Wellbeing initiatives.
  • Fundraising and volunteering through the company's charitable foundation, which gives grants to community groups that help people access economic opportunities.

Where you’d work

From the office

About the company

LSEG

  • Industry: FinTech

Office in London, United Kingdom

Also hiring in Poland, United States, Bucharest, Romania and 9 more places

6 of their 81 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 3 red flags

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13 checks

1 red flag

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6 checks

2 red flags

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Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • LLMs
Seniority
Lead
Type
Full-time
Industry
FinTech
Specialty
Product Manager
Region
United Kingdom
Show 6 more factsShow less

Role

Category
Product & Project
Specialty
Product Manager
Seniority
Lead
Experience
0-3 years
Tech stack
  • LLMs

Location

Work model
Office
Region
United Kingdom
Office
  • London, United Kingdom

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
FinTech

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