Mechanical Engineer Jobs at Bloomberg with Visa Sponsorship
Mechanical Engineer jobs at Bloomberg sit at the intersection of hardware development, thermal systems, and large-scale data center engineering, as the company builds the physical infrastructure behind its financial technology platforms. Bloomberg sponsors multiple work visa types for this function and has a consistent track record of supporting international engineers through the full petition process.
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Get Access To All JobsINTRODUCTION
Bloomberg runs on data. Our products are fueled by information that is fast, deep, and reliable. We combine data with context to paint a complete picture for our clients, around the clock and across the globe. In the Data department, we are responsible for delivering this information through innovative technology—quickly, accurately, and at scale. We apply problem-solving skills to streamline workflows, implement advanced technology solutions, and enhance the systems, products, and processes that power Bloomberg, all while supporting our clients with best-in-class service.
Our Team:
The Data Artificial Intelligence group brings modern AI technologies into Bloomberg’s Data organization while contributing deep financial subject-matter expertise to the development of AI-powered products. We partner closely with partners to align AI innovation with Bloomberg’s strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain-informed systems that enhance Bloomberg’s offerings.
What’s the role?
We are seeking a Technical Product Manager to help shape the future of AI-powered workflow automation. This role drives platform-oriented initiatives at the intersection of Artificial Intelligence, Data Infrastructure, and workflow automation, building scalable capabilities that enable teams across Bloomberg to automate and modernize data workflows using AI. You will lead the development of shared AI platform capabilities across multiple business domains, including classification, extraction, entity resolution, validation, and other workflows that transform unstructured information into structured, high-quality data products. Partnering closely with AI engineers, platform teams, financial domain experts, and senior leadership, you will help define the infrastructure, tooling, standards, and operational frameworks that allow AI-powered workflows to be developed, evaluated, and deployed consistently at scale.
Acting as both strategist and operator, you will bring clarity to sophisticated platform and organizational challenges, define cross-organizational priorities, and drive execution through reusable capabilities and shared standards rather than one-off solutions. In this role, you will help establish AI as a durable platform capability, delivering immediate operational impact while building the scalable foundations needed for long-term adoption and growth.
We'll Trust You To:
- Help define and evolve the vision, roadmap, and operating model for shared AI platform capabilities that support workflow automation
- Partner with AI engineers and infrastructure teams to develop reusable tooling, evaluation frameworks, orchestration capabilities, and operational infrastructure that enable teams to build and deploy AI-powered workflows at scale
- Work closely with domain experts, other platform teams, and operational partners to identify common workflow patterns and translate business needs into scalable platform capabilities and services
- Establish scalable standards, interfaces, governance approaches, and guidelines that promote consistency, interoperability, and responsible adoption of AI-powered workflows across teams
- Drive alignment and execution across Data, Engineering, Technology, and AI teams, balancing platform investments with evolving business priorities and operational needs
- Help define approaches for measuring workflow quality, reliability, and production readiness, ensuring AI-enabled systems meet Bloomberg’s standards for accuracy, consistency, and trust
- Proactively identify technical, operational, and organizational risks across platform capabilities, integrations, and workflow implementations; coordinate mitigation strategies to protect delivery and adoption
- Capture findings, operationalize reusable patterns, and contribute to the broader adoption of shared AI infrastructure, platform services, and workflow automation capabilities
You'll Need to Have:
- 8+ years of product management or related experience leading sophisticated technical platform or infrastructure initiatives end-to-end
- A proven track record of partnering with engineers, AI/ML practitioners, and business partners to deliver scalable technology capabilities and measurable outcomes
- Experience driving platform-oriented products or shared infrastructure that support multiple teams, workflows, or business domains
- Solid understanding of how to translate operational or business challenges into scalable platform capabilities, tooling, and workflows
- Exceptional communication and influencing skills, with the ability to align diverse technical and non-technical partners around shared priorities and standards
- Demonstrated ability to bring structure to ambiguity, prioritize effectively, and drive disciplined execution across multi-functional organizations
- Systems thinking and organizational skills, with experience designing scalable processes, frameworks, or operating models
- Comfort operating in fast-moving environments where priorities, technologies, and organizational needs evolve over time
We'd Love to See:
- Familiarity with AI/ML technologies such as large language models, natural language processing, evaluation frameworks, or workflow orchestration systems
- Experience building internal platforms, developer tooling, or enterprise workflow automation capabilities
- Experience working with large-scale data systems, operational workflows, or distributed platform environment
- Understanding of AI governance, model evaluation, or production deployment considerations for AI-powered systems
- Success operating in highly matrixed organizations requiring influence across teams without direct authority
- Passion for building reusable capabilities, improving organizational effectiveness, and scaling adoption of emerging technologies responsibly
COMPENSATION
- Salary Range: 140,000 - 295,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
ACCOMMODATIONS
Bloomberg provides reasonable adjustment/accommodation to individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format or using specialized equipment. To request an adjustment/accommodation to apply for a job, please email AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for. We may share your information with a third party provider of accommodations services who may use this information to reach out to you for the purposes of accommodating your application.
EQUAL OPPORTUNITY
Bloomberg is an equal opportunity employer and prohibits discrimination in employment. It is Bloomberg’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, self-identified or perceived sex, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy, childbirth or related medical conditions, or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (each, a “Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics.
INTRODUCTION
Bloomberg runs on data. Our products are fueled by information that is fast, deep, and reliable. We combine data with context to paint a complete picture for our clients, around the clock and across the globe. In the Data department, we are responsible for delivering this information through innovative technology—quickly, accurately, and at scale. We apply problem-solving skills to streamline workflows, implement advanced technology solutions, and enhance the systems, products, and processes that power Bloomberg, all while supporting our clients with best-in-class service.
Our Team:
The Data Artificial Intelligence group brings modern AI technologies into Bloomberg’s Data organization while contributing deep financial subject-matter expertise to the development of AI-powered products. We partner closely with partners to align AI innovation with Bloomberg’s strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain-informed systems that enhance Bloomberg’s offerings.
What’s the role?
We are seeking a Technical Product Manager to help shape the future of AI-powered workflow automation. This role drives platform-oriented initiatives at the intersection of Artificial Intelligence, Data Infrastructure, and workflow automation, building scalable capabilities that enable teams across Bloomberg to automate and modernize data workflows using AI. You will lead the development of shared AI platform capabilities across multiple business domains, including classification, extraction, entity resolution, validation, and other workflows that transform unstructured information into structured, high-quality data products. Partnering closely with AI engineers, platform teams, financial domain experts, and senior leadership, you will help define the infrastructure, tooling, standards, and operational frameworks that allow AI-powered workflows to be developed, evaluated, and deployed consistently at scale.
Acting as both strategist and operator, you will bring clarity to sophisticated platform and organizational challenges, define cross-organizational priorities, and drive execution through reusable capabilities and shared standards rather than one-off solutions. In this role, you will help establish AI as a durable platform capability, delivering immediate operational impact while building the scalable foundations needed for long-term adoption and growth.
We'll Trust You To:
- Help define and evolve the vision, roadmap, and operating model for shared AI platform capabilities that support workflow automation
- Partner with AI engineers and infrastructure teams to develop reusable tooling, evaluation frameworks, orchestration capabilities, and operational infrastructure that enable teams to build and deploy AI-powered workflows at scale
- Work closely with domain experts, other platform teams, and operational partners to identify common workflow patterns and translate business needs into scalable platform capabilities and services
- Establish scalable standards, interfaces, governance approaches, and guidelines that promote consistency, interoperability, and responsible adoption of AI-powered workflows across teams
- Drive alignment and execution across Data, Engineering, Technology, and AI teams, balancing platform investments with evolving business priorities and operational needs
- Help define approaches for measuring workflow quality, reliability, and production readiness, ensuring AI-enabled systems meet Bloomberg’s standards for accuracy, consistency, and trust
- Proactively identify technical, operational, and organizational risks across platform capabilities, integrations, and workflow implementations; coordinate mitigation strategies to protect delivery and adoption
- Capture findings, operationalize reusable patterns, and contribute to the broader adoption of shared AI infrastructure, platform services, and workflow automation capabilities
You'll Need to Have:
- 8+ years of product management or related experience leading sophisticated technical platform or infrastructure initiatives end-to-end
- A proven track record of partnering with engineers, AI/ML practitioners, and business partners to deliver scalable technology capabilities and measurable outcomes
- Experience driving platform-oriented products or shared infrastructure that support multiple teams, workflows, or business domains
- Solid understanding of how to translate operational or business challenges into scalable platform capabilities, tooling, and workflows
- Exceptional communication and influencing skills, with the ability to align diverse technical and non-technical partners around shared priorities and standards
- Demonstrated ability to bring structure to ambiguity, prioritize effectively, and drive disciplined execution across multi-functional organizations
- Systems thinking and organizational skills, with experience designing scalable processes, frameworks, or operating models
- Comfort operating in fast-moving environments where priorities, technologies, and organizational needs evolve over time
We'd Love to See:
- Familiarity with AI/ML technologies such as large language models, natural language processing, evaluation frameworks, or workflow orchestration systems
- Experience building internal platforms, developer tooling, or enterprise workflow automation capabilities
- Experience working with large-scale data systems, operational workflows, or distributed platform environment
- Understanding of AI governance, model evaluation, or production deployment considerations for AI-powered systems
- Success operating in highly matrixed organizations requiring influence across teams without direct authority
- Passion for building reusable capabilities, improving organizational effectiveness, and scaling adoption of emerging technologies responsibly
COMPENSATION
- Salary Range: 140,000 - 295,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
ACCOMMODATIONS
Bloomberg provides reasonable adjustment/accommodation to individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format or using specialized equipment. To request an adjustment/accommodation to apply for a job, please email AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for. We may share your information with a third party provider of accommodations services who may use this information to reach out to you for the purposes of accommodating your application.
EQUAL OPPORTUNITY
Bloomberg is an equal opportunity employer and prohibits discrimination in employment. It is Bloomberg’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, self-identified or perceived sex, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy, childbirth or related medical conditions, or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (each, a “Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics.
See all Mechanical Engineer Jobs at Bloomberg
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Mechanical Engineer Jobs at Bloomberg.
Get Access To All JobsTips for Finding Mechanical Engineer Jobs at Bloomberg
Tailor your portfolio to hardware-intensive work
Bloomberg's Mechanical Engineering roles focus on data center infrastructure, thermal management, and custom hardware systems. Highlight projects involving heat dissipation, rack design, or precision manufacturing rather than general product development work.
Identify open roles before the H-1B registration window
H-1B cap-subject registrations open each March for an October 1 start date. If you're on OPT, securing an offer by February gives your employer enough runway to register you in the lottery without rushing the petition.
Clarify which visa category applies to your nationality
Bloomberg sponsors H-1B, H-1B1 visa, and E-3 visas. If you're Australian or from Singapore or Chile, ask your Bloomberg recruiter early whether they'll file under E-3 or H-1B1, since those categories skip the lottery entirely.
Request a technical interview aligned to your specialization
Bloomberg's engineering hiring process includes technical assessments scoped to the specific team. For mechanical roles, expect questions on thermal modeling, structural analysis, or CAD-driven design. Ask your recruiter which domain the team focuses on so you prepare for the right depth.
Understand what the employer files versus what you handle
Bloomberg's legal team manages the I-129 petition and the Labor Condition Application with DOL. Your responsibility is providing credential documentation, degree evaluations if your degree is from outside the U.S., and prior immigration history for USCIS.
Use Migrate Mate to filter Bloomberg openings by visa type
Bloomberg posts Mechanical Engineer roles across multiple teams, and not every opening leads to sponsorship for every category. Search Migrate Mate to filter Bloomberg jobs by the specific visa type you need before investing time in an application.
Frequently Asked Questions
Does Bloomberg sponsor H-1B visas for Mechanical Engineers?
Yes, Bloomberg sponsors H-1B visas for Mechanical Engineer roles. Bloomberg's legal and HR teams manage the petition process, including filing the Labor Condition Application with DOL and submitting Form I-129 to USCIS. If you're subject to the H-1B cap, your offer would need to be in place before the March registration window to be included in that year's lottery.
How do I apply for Mechanical Engineer jobs at Bloomberg?
Applications go through Bloomberg's careers portal, where Mechanical Engineer roles are listed by team and location. Each posting typically specifies the engineering domain, such as data center systems or hardware development. You can also use Migrate Mate to browse Bloomberg's open Mechanical Engineer positions filtered by the visa sponsorship type you need, which helps you focus your applications before reaching out to recruiters.
Which visa types does Bloomberg commonly use for Mechanical Engineer roles?
Bloomberg sponsors H-1B, H-1B1 visa, E-3 visa, and employment-based Green Cards including EB-2 and EB-3 for Mechanical Engineers. H-1B is the most common path for cap-subject applicants. Australian citizens can pursue the E-3 visa, and nationals of Singapore and Chile may qualify for the H-1B1, both of which bypass the H-1B lottery and have dedicated annual allocations that have historically remained undersubscribed.
What qualifications does Bloomberg expect for Mechanical Engineer positions?
Bloomberg's Mechanical Engineer roles typically require a bachelor's degree or higher in Mechanical Engineering or a closely related field. Roles tied to data center infrastructure often expect experience in thermal systems, structural analysis, or precision hardware. Teams using CAD tools and simulation software look for hands-on project experience. For H-1B eligibility, USCIS requires the role to qualify as a specialty occupation, meaning a specific degree in a relevant discipline is a baseline requirement.
How do I time my Bloomberg application around the visa sponsorship process?
If you're on F-1 OPT, aim to have an offer finalized by late February so Bloomberg can register you in the H-1B lottery, which USCIS opens each March. If you miss the lottery or aren't cap-subject, Bloomberg can file for cap-exempt categories or E-3 and H-1B1 visa at any time of year. Green Card sponsorship through PERM typically begins after you've been employed for a period and requires a separate DOL process that Bloomberg's immigration team would initiate.