Your Team ResponsibilitiesJoin MSCI's Private Assets Product team and help shape the Private Assets Diligence Platform (formerly Vantager), an AI-native platform that helps institutional investors run faster, more consistent diligence on private funds and managers. The platform turns GP documents and data into structured, decision-ready insight, and it is a core part of MSCI's private assets offering.
You will work closely with senior product leadership, Engineering, Coverage and Marketing to turn client needs into shipped features. This is a hands-on, execution-oriented role on a live product with active client deployments, offering direct exposure to product strategy, client engagement and go-to-market.
Your Key Ressponsibilities- Own the roadmap for defined areas of the platform, from discovery through launch and ongoing enhancement
- Translate LP diligence workflows and client feedback into clear requirements, specifications and prioritized backlogs
- Partner with Engineering on day-to-day delivery, including scoping, sequencing, acceptance criteria and release readiness
- Work with Coverage on client trials, proofs of concept and onboarding, capturing feedback and turning it into product improvements
- Evaluate AI capabilities (LLMs, agentic workflows, document extraction) and define how they are applied, measured and improved in the product
- Analyze product usage and quality metrics to understand client behavior, surface opportunities and risks, and inform prioritization
- Support integration of the platform with the broader MSCI ecosystem, including data, entitlements and authentication
- Support pricing, packaging and sales campaign planning
- Work with Marketing and Program Management on go-to-market planning, product collateral, demo materials and client-facing documentation
- Conduct competitive and market analysis across private markets diligence and AI-enabled workflow tools
- Prepare reporting and analysis for senior management business reviews
- Build prototypes with AI tools to bring product ideas to life quickly
Your skills and experience that will help you excel- 3 to 6 years of experience in product management (or a closely related role) with domain expertise in private markets, financial services or applied AI
- Familiarity with LP diligence, fund investing or the institutional allocator ecosystem
- Experience writing specifications, mapping processes and working within an agile development lifecycle
- Hands-on experience with LLM-based products or tools; working knowledge of concepts such as retrieval, extraction, evaluation and agentic workflows
- Comfortable working with data to define product strategy, measure usage and produce management reporting
- Ability to run client conversations and translate feedback into product decisions
- Detail-oriented and analytical, with a strong bias toward execution and shipping
- Bachelor's degree in Finance, Economics, Data Science or a related field (MBA, CFA or CAIA preferred)
- Energetic, self-motivated and intellectually curious, with a growth mindset and a passion for innovation
What we offer you- Salary range: $143,000 - $186,000 / year. Plus eligible for annual bonus.
Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
- Flexible working arrangements, advanced technology, and collaborative workspaces.
- A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.
- A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.
- Global Orientation program to kickstart your journey, followed by access to our Learning[redacted] platform, AI Learning Center , LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.
- Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.
- We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women's Leadership Forum.
