Description
As part of LSEG Enterprise AI, we are hiring a Senior Associate Product Manager to support the strategy, roadmap and delivery of foundational platform capabilities that enable secure, scalable and governed AI expansion across LSEG's product portfolio.
This is a great opportunity for an early-career product manager to develop their craft across a broad range of platform and enablement areas, supporting LSEG teams to build AI-powered products on a common enterprise platform.
Responsibilities:
- Supports the definition of vision, strategy and roadmap for LSEG's Enterprise AI Platform, working closely with stakeholders including product managers & engineering teams.
- Assists in owning product direction for one or more platform capability areas (e.g. platform services, developer tooling, agent capabilities, governance and enablement), as assigned.
- Participate in hands-on frontier AI products, prototyping, building and validating with customers
- Partners with Engineering to help deliver secure, scalable and reliable platform capabilities, tracking delivery progress and surfacing blockers.
- Helps maintain platform standards, documentation and reusable services that support AI product development across LSEG.
- Supports adoption of common AI infrastructure and tooling, including gathering feedback from internal teams and users.
- Works with Security, Architecture, Governance and Risk teams to help ensure platform features comply with enterprise policies and Responsible AI standards.
- Engages with product teams across LSEG to gather requirements, document use cases and support roadmap prioritisation.
- Helps define and track success metrics for platform adoption, operational performance and developer experience.
- Assists in coordinating with industry partners and cloud providers on specific platform initiatives.
- Contributes to LSEG's Enterprise AI strategy by supporting delivery of foundational platform capabilities.
Requirements:
- Bachelor's degree in Finance, Computer Science, Engineering, Information Systems or equivalent experience.
- Some understanding of or strong interest in AI platforms, LLM ecosystems, APIs and enterprise software is desirable.
- Early career experience in Product Management, Business Analysis, Engineering or a related field (internships and graduate schemes considered).
- Experience or coursework involving software platforms, APIs or cloud-native services is a plus.
- Strong communication skills and the ability to work effectively with cross-functional teams.
- Curiosity, willingness to learn quickly, and comfort operating in a fast-changing environment.
Benefits:
- Healthcare
- Retirement planning
- Paid volunteering days
- Wellbeing initiatives