VP, Technology Product Manager
BlackRock is hiring a VP, Technology Product Manager in Paris, France. It pays €98k-€148k a year and Level rates it ; you can apply on BlackRock.
Level's read on this job
- Works on AI ●●●○ is how Level rates this AI product manager role: the daily work is on AI products, without building the model.
- The posting mentions RAG among its tools and skills.
- Level classes it as an executive role.
- BlackRock has 285 other open roles on Level.
- Posted in the last few days.
AI in this role
About this role
Your team
The Aladdin Product team develops and evolves BlackRock’s end-to-end investment platform, which supports investment management, portfolio risk, research, trading, and operations workflows across the investment lifecycle. The team works closely with engineering, data, infrastructure, operations, and client-facing partners to translate complex financial technology needs into scalable platform capabilities.
Your role and impact
As a Vice President on the Aladdin Product team, you will lead the development for applied artificial intelligence (AI), data products and technology solutions for BlackRock’s investment platform working closely with product, financial modelling, engineering and platform teams. You will own critical workstreams, influence product strategy, and help deliver complex technology solutions for a growing and diverse client base. This role is suited to a leader who brings strong technology experience, and an interest in solving complex problems at scale applying his experience in generative AI, large language models, technology, structured query language (SQL) and application programming interfaces (APIs).
Your responsibilities
In every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities:
- Lead the end-to-end lifecycle for applied AI, and data product enterprise solutions from requirement gathering with users or clients, solution design and experimentation through delivery, adoption, and measurable business impact
- Define and execute product strategy aligned with organizational objectives, translating competing priorities into actionable roadmaps and cross-team prioritization decisions.
- Partner across engineering, financial modelling and product teams to deliver the technology solutions that support investment and risk workflows across investment management lifecycle.
- Identify and prioritize applied AI solution opportunities that automate workflows, and reduce manual operational effort with appropriate evaluation, observability, governance, security, privacy and reliability.
- Communicate solution scope, assumptions, outcomes, risks and limitations to technical and business stakeholders.
- Provide technical product leadership, establish AI best practices and evaluate architectural trade-offs across scalability, resilience, cost and governance.
Your experience
- Five or more years of relevant experience in product management, technology, investment management, or a related field, with exposure to developing or delivering software products.
- Experience partnering with users or clients and collaborating across product, engineering, and business teams to shape, launch, and continuously improve solutions, build alignment, and drive decisions
- Technical fluency across modern software architectures, application programming interfaces (APIs), data warehouse solutions, automation frameworks, and emerging AI technologies, with an understanding of product development lifecycles and agile delivery methods.
- Experience developing or managing applied AI technology solutions using LLMs, RAG,SQL, APIs and data warehousing solutions.
- Ability to communicate complex technical concepts, trade-offs and risks to technical and non-technical audiences.
- Strong analytical and strategic-thinking capabilities, commercial acumen, communication and stakeholder-management skills.
- A bachelor’s degree in Finance, Economics, Engineering, Computer Science, or equivalent practical experience is preferred.
The salary range for France is 97500 - 147500 EUR
Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
Guidance on AI use for candidates
At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.
How we rate this
VP, Technology Product Manager at BlackRock rates 65 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.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
Also common in AI product manager jobs at this level
Pay
- Typical AI product manager job
- $180k
Use the typical AI product manager figure as a reference when pay comes up. See AI product manager jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: RAG. 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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