Vice President of Technology Solutions Jobs
Vice President of Technology Solutions jobs are open across enterprise software, managed services, healthcare IT, and financial technology, at every level from director to C-suite, with specializations in pre-sales engineering, digital transformation, and strategic account management. Find a role that fits below and apply directly.
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About this role
AI Product Solutions Lead, Technology Product – Aladdin Data
Your team
Aladdin Data brings together product, data, technology, and domain expertise to develop data capabilities that support users and business workflows. This role sits within Technology Product and works across engineering, data science, architecture, design, and business teams to turn complex business and user needs into scalable product solutions.
Your role and impact
As an AI Product Solutions Lead, you will lead the integration and channel experiences workstream for a single AI-powered platform, developing and evolving the product from concept through launch, adoption, and ongoing optimization. You will define the product vision and strategy for this workstream, translate complex business and user needs into technical product requirements, prioritize the roadmap, and partner closely with engineering, data science, architecture, design, business teams, and client businesses as key stakeholders to deliver scalable AI solutions.
You will operate at the intersection of client business problems, product experiences, data, and AI technology. With a primary focus on integration and channel experiences, you will lead the workstream that connects the AI product to the applications, workflows, and touchpoints through which users engage with the platform. In addition to traditional product management responsibilities, you will bring a product solutions architecture perspective, developing a strong understanding of the underlying data, models, application programming interfaces (APIs), AI agents, retrieval and grounding approaches, integrations, channels, and platform architecture. This technical depth will allow you to shape solution design, evaluate architectural trade-offs, and make informed product decisions while partnering with engineering and architecture teams.
You will also define measures of success, evaluate AI quality and user experience, monitor product performance, incorporate user feedback, and drive continuous improvement as models, data, technology, and user needs evolve.
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 AI product vision and strategy and own the end-to-end product lifecycle, from problem discovery and requirements through development, launch, adoption, measurement, and continuous optimization.
- Translate business and user needs into technical product requirements and own the roadmap and backlog, balancing user value, business impact, technical feasibility, data readiness, model performance, risk, and engineering effort.
- Serve as a product solutions partner across engineering, data science, architecture, design, and business teams, shaping scalable solutions across data requirements, integrations, APIs, grounding approaches, orchestration, and platform capabilities.
- Shape AI-powered and agentic experiences, including conversational interfaces, intelligent recommendations, automated workflows, decision support, and human-in-the-loop experiences, and drive experimentation across models, context, grounding, workflows, and user experiences.
- Define AI evaluation frameworks and product key performance indicators, using telemetry, experimentation, user feedback, and production performance to improve quality, relevance, reliability, scalability, adoption, productivity, and business outcomes.
- Define product requirements for responsible AI, including transparency, explainability, access controls, data privacy, evaluation, monitoring, security, governance, and appropriate human oversight.
- Evaluate emerging AI capabilities and translate relevant advances into practical product opportunities, grounding technology decisions in real user needs, product strategy, architectural considerations, and measurable business value.
Your experience
- Experience leading technical product management, including product strategy, roadmap development, prioritization, technical requirements definition, and ownership of products from concept through production launch and adoption.
- Knowledge of AI and machine learning product development, including generative AI, large language models, AI agents and agentic workflows, prompting, context management, and model capabilities.
- Working knowledge of retrieval-augmented generation (RAG), grounding, knowledge retrieval, semantic data models, and structured and unstructured data approaches.
- Experience partnering on product solution and platform architecture, including APIs, system integrations, data pipelines, and technical trade-offs, with the ability to shape technical solutions without being the primary engineer implementing them.
- Experience defining product and AI quality measures and using evaluation, telemetry, experimentation, quantitative insights, and qualitative user feedback to improve product experiences and outcomes.
- Understanding of responsible AI principles and considerations related to security, privacy, governance, evaluation, monitoring, and controls for production AI products.
- Ability to translate complex business workflows and user needs into scalable product and technical solutions and communicate effectively across engineering, data science, architecture, design, business teams, and senior stakeholders.
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 (opens in new window) 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 (opens in new window). We also encourage you to get to know us on LinkedIn (opens in new window), Instagram (opens in new window), YouTube (opens in new window), X (opens in new window), and TikTok (opens in new window).
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 (opens in new window) and the pay transparency statement (opens in new window).
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 (opens in new window). All requests are treated in line with our privacy policy (opens in new window). (opens in new window)
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.R267009
Job description
About this role
AI Product Solutions Lead, Technology Product – Aladdin Data
Your team
Aladdin Data brings together product, data, technology, and domain expertise to develop data capabilities that support users and business workflows. This role sits within Technology Product and works across engineering, data science, architecture, design, and business teams to turn complex business and user needs into scalable product solutions.
Your role and impact
As an AI Product Solutions Lead, you will lead the integration and channel experiences workstream for a single AI-powered platform, developing and evolving the product from concept through launch, adoption, and ongoing optimization. You will define the product vision and strategy for this workstream, translate complex business and user needs into technical product requirements, prioritize the roadmap, and partner closely with engineering, data science, architecture, design, business teams, and client businesses as key stakeholders to deliver scalable AI solutions.
You will operate at the intersection of client business problems, product experiences, data, and AI technology. With a primary focus on integration and channel experiences, you will lead the workstream that connects the AI product to the applications, workflows, and touchpoints through which users engage with the platform. In addition to traditional product management responsibilities, you will bring a product solutions architecture perspective, developing a strong understanding of the underlying data, models, application programming interfaces (APIs), AI agents, retrieval and grounding approaches, integrations, channels, and platform architecture. This technical depth will allow you to shape solution design, evaluate architectural trade-offs, and make informed product decisions while partnering with engineering and architecture teams.
You will also define measures of success, evaluate AI quality and user experience, monitor product performance, incorporate user feedback, and drive continuous improvement as models, data, technology, and user needs evolve.
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 AI product vision and strategy and own the end-to-end product lifecycle, from problem discovery and requirements through development, launch, adoption, measurement, and continuous optimization.
- Translate business and user needs into technical product requirements and own the roadmap and backlog, balancing user value, business impact, technical feasibility, data readiness, model performance, risk, and engineering effort.
- Serve as a product solutions partner across engineering, data science, architecture, design, and business teams, shaping scalable solutions across data requirements, integrations, APIs, grounding approaches, orchestration, and platform capabilities.
- Shape AI-powered and agentic experiences, including conversational interfaces, intelligent recommendations, automated workflows, decision support, and human-in-the-loop experiences, and drive experimentation across models, context, grounding, workflows, and user experiences.
- Define AI evaluation frameworks and product key performance indicators, using telemetry, experimentation, user feedback, and production performance to improve quality, relevance, reliability, scalability, adoption, productivity, and business outcomes.
- Define product requirements for responsible AI, including transparency, explainability, access controls, data privacy, evaluation, monitoring, security, governance, and appropriate human oversight.
- Evaluate emerging AI capabilities and translate relevant advances into practical product opportunities, grounding technology decisions in real user needs, product strategy, architectural considerations, and measurable business value.
Your experience
- Experience leading technical product management, including product strategy, roadmap development, prioritization, technical requirements definition, and ownership of products from concept through production launch and adoption.
- Knowledge of AI and machine learning product development, including generative AI, large language models, AI agents and agentic workflows, prompting, context management, and model capabilities.
- Working knowledge of retrieval-augmented generation (RAG), grounding, knowledge retrieval, semantic data models, and structured and unstructured data approaches.
- Experience partnering on product solution and platform architecture, including APIs, system integrations, data pipelines, and technical trade-offs, with the ability to shape technical solutions without being the primary engineer implementing them.
- Experience defining product and AI quality measures and using evaluation, telemetry, experimentation, quantitative insights, and qualitative user feedback to improve product experiences and outcomes.
- Understanding of responsible AI principles and considerations related to security, privacy, governance, evaluation, monitoring, and controls for production AI products.
- Ability to translate complex business workflows and user needs into scalable product and technical solutions and communicate effectively across engineering, data science, architecture, design, business teams, and senior stakeholders.
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 (opens in new window) 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 (opens in new window). We also encourage you to get to know us on LinkedIn (opens in new window), Instagram (opens in new window), YouTube (opens in new window), X (opens in new window), and TikTok (opens in new window).
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 (opens in new window) and the pay transparency statement (opens in new window).
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 (opens in new window). All requests are treated in line with our privacy policy (opens in new window). (opens in new window)
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.R267009
See All 5 Vice President of Technology Solutions Jobs
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Find JobsVice President of Technology Solutions Job Market
Who's Hiring
Top Industries Hiring
- Insurance
What Employers Look For
The qualifications that appear most often in vice president of technology solutions jobs.
- Ten or more years of experience in technology sales, pre-sales, or solutions engineering
- Demonstrated ability to close complex enterprise software or services deals
- Experience building and leading solutions consultant or pre-sales engineering teams
- Proficiency presenting technical architectures and ROI cases to C-suite audiences
- Bachelor's degree in computer science, information systems, engineering, or a related field
- Familiarity with cloud platforms, SaaS delivery models, and enterprise integration concepts
Tips for Your Vice President of Technology Solutions Job Search
Align your resume to revenue outcomes
VP of Technology Solutions roles sit at the intersection of technology and sales, so your resume needs to show pipeline contribution, client retention numbers, and deal sizes you influenced, not just the technologies you managed or the teams you led.
Distinguish yourself from pure sales VPs
Hiring managers for technology solutions roles want someone who can go deep on product architecture with an enterprise client. Highlight certifications, technical credentials, or hands-on implementation experience that separates you from candidates with only quota-carrying backgrounds.
Target companies expanding their solutions practices
Organizations launching new professional services arms or entering new verticals hire solutions VPs first. Look for companies that recently raised growth funding, acquired a services firm, or publicly announced a platform expansion, as these signal active headcount needs.
Apply early to roles that fit
Migrate Mate lists vice president of technology solutions openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a client story for the final round
Late-stage interviews for this role almost always include a case study or scenario where you walk a panel through how you would engage a skeptical enterprise client. Prepare two or three specific stories covering discovery, objection handling, and solution design from your own career.
Negotiate scope alongside compensation
When you receive an offer, clarify what the solutions team structure looks like, which verticals or accounts you will own, and what authority you have over pre-sales headcount. Ambiguity at the VP level about team ownership often signals a role that will underdeliver on the mandate it advertises.
Vice President of Technology Solutions Jobs: Frequently Asked Questions
Which companies are hiring the most vice president of technology solutionss?
The companies hiring the most vice president of technology solutionss right now include Citi, BlackRock, and Cydecor, with the largest share of openings in New York, Virginia, and New Jersey, based on current listings on Migrate Mate as of November 2026. Demand tends to be highest at enterprise software vendors, managed services providers, and technology consultancies with active professional services practices.
How many vice president of technology solutions jobs are remote?
About 100% of vice president of technology solutions openings are fully remote or hybrid as of November 2026, reflecting employer expectations that leaders in this role will travel regularly for client engagement. Pre-sales strategy, team leadership, and solutions architecture work is most likely to be performed remotely, while client-facing discovery sessions and executive presentations typically require in-person presence.
How do you become a vice president of technology solutions?
Most people reach this role by progressing from solutions engineer or pre-sales consultant into a solutions architect or manager position, then into a director role overseeing a regional or vertical solutions team. Building a record of enterprise deal wins, developing strong relationships with product and sales leadership, and earning credentials in cloud platforms or solutions methodologies all accelerate the path to the VP level.
Can you get a vice president of technology solutions role with limited experience?
Moving directly into a VP title with limited experience is uncommon, but candidates who have led a small solutions or pre-sales team, closed high-value enterprise deals, or run a successful digital transformation program inside a large company sometimes make the jump earlier than the typical timeline. Targeting smaller technology companies or early-stage vendors building out their solutions function for the first time gives you the best opening when your experience is still developing.
What does the vice president of technology solutions interview process look like?
The process typically begins with a recruiter screen, followed by separate conversations with a sales or revenue leader and a CTO or head of product to assess both commercial and technical credibility. A final round usually involves a panel presentation where you walk executives through how you would build or scale a solutions function, often using a case study provided in advance. Reference checks focusing on client relationships and team leadership are standard before an offer is extended.
Where can I find and apply to vice president of technology solutions jobs?
You can find and apply to vice president of technology solutions jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your background and apply directly to each listing without being redirected through additional sign-up steps.
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