BlackRock

Technical Product Manager, Aladdin Next - Vice President

United States · Work style not stated · Full time

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerBlackRock
  • LocationUnited States
  • Work styleWork style not stated
  • Employment typeFull time
  • Employer posted

About this role

Your Team:

The Aladdin Product team develops and evolves BlackRock’s end-to-end investment platform, which supports investment management, trading, operations, accounting, and risk 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 operate at the intersection of artificial intelligence (AI) development, technology delivery, and client partnership. You will own critical workstreams, influence product strategy, and help deliver complex technology solutions for a growing and diverse client base. Working with distributed engineering and data teams, you will translate client and business challenges into clear product priorities and scalable solutions. This role is suited to a product leader who brings strong AI acumen, financial technology experience, and an interest in solving complex problems at scale.

Show full description

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:

  • Define and execute product strategy aligned with organizational objectives, translating competing priorities into actionable roadmaps and cross-team prioritization decisions.
  • Lead the development and adoption of AI-powered enterprise solutions and internal tools that scale automation and reduce manual operational effort.
  • Partner with engineering, infrastructure, operations, vendors, and distributed teams to align technology delivery and translate technical insights into executive-level narratives.
  • Conduct user discovery and stakeholder interviews, synthesize signals using analytics and AI, and develop reporting frameworks that inform leadership decisions.
  • Drive the adoption of alternative solutions in regulated environments and design scalable workflows, governance frameworks, and operating models.
  • Improve engineering productivity and capacity allocation while ensuring quality, reliability, and compliance throughout product delivery.

Your Experience:

  • 5 to 8 years of experience in technical product management within enterprise or software as a service (SaaS) environments.
  • Proven experience managing complex, cross-functional technology initiatives.
  • Strong understanding of artificial intelligence and machine learning applications in enterprise platforms.
  • Ability to translate technical concepts and engineering insights into clear business-impact narratives.
  • Experience collaborating with distributed engineering teams and diverse stakeholder groups.
  • Strong analytical, problem-solving, prioritization, and decision-making capabilities.

Preferred Experience:

  • Familiarity with cloud infrastructure and enterprise system integrations.
  • Hands-on experience with Python, Structured Query Language (SQL), application programming interfaces (APIs), or prototyping tools.
  • Exposure to regulated technology environments, including Federal Information Processing Standards (FIPS)-compliant systems.
  • Experience applying data-driven product discovery and experimentation methods.
  • Experience partnering with risk, compliance, security, or legal stakeholders to deliver enterprise technology in regulated environments.

Our benefits:

BlackRock offers a comprehensive benefits package that includes competitive compensation, retirement benefits, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off (FTO).


 USD$162,500.00 - USD$215,000.00 . 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 benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents 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 workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement.

BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with our privacy policy.

BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

Staying safe while you apply

  • Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
  • Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
  • Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

  • Check the fit.

    Compare the requirements with the experience you have confirmed, including gaps.

  • Prepare honestly.

    Build interview stories and application drafts from your own evidence.

  • Keep track.

    Save the role and record your own application status and follow-ups.

Create a free workspace or log in.

Product manager jobs in United States

ROLIVA currently lists 1415 open roles like this in United States.

Employers hiring for this

  • Capital One Financial247 open roles
  • Veeva56 open roles
  • RELX26 open roles
  • ServiceNow25 open roles
  • HP23 open roles

Top skills asked for

Listings whose description mentions each term. A mention is not a requirement.

Advertised salary for this role here

These are advertised ranges, not what people are paid.

  • USD a year, after annualising110,000–540,000 (69 listings, 20 employers)

At a glance

  • Employment typeFull time
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

SQL Python Machine learning

Explore similar roles

Similar jobs