Enterprise Sales Specialist Jobs in New York
Enterprise Sales Specialist jobs in New York are among the most active in the country, concentrated in financial services, enterprise technology, media, and healthcare IT, with openings at every level from associate account executive through senior strategic sales director. Most hiring clusters in New York City, particularly Midtown Manhattan and the Financial District, with additional demand in White Plains and Melville among companies with suburban operations. Large employers with a lasting presence in the market include IBM, Salesforce, and Oracle, which maintain major New York sales offices and consistently recruit for enterprise roles. Find a role that fits below and apply directly.
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Quantitative investment and research workflows continue to evolve rapidly, driven by advances in cloud computing, open-source technologies, and artificial intelligence. Bloomberg is uniquely positioned at the intersection of financial markets, data, and technology, enabling investment professionals to build sophisticated quantitative workflows using trusted Bloomberg data and analytics.
The Senior Client Quant Specialist team works closely with Bloomberg clients to demonstrate how Bloomberg's quantitative solutions can address complex investment research and enterprise workflow requirements and to help clients implement these solutions using our Python-based quantitative development platform, BQuant Enterprise. Powered by JupyterLab, the platform combines cloud architecture, specialized workflow libraries, and the world's leading financial database, enabling our clients to generate unique quantitative research, develop and deploy sophisticated research and investment workflows at scale.
As a global team, we have specialists based in London, New York, San Francisco, São Paulo, Hong Kong, Singapore, Tokyo, and Sydney. We work collaboratively with our Sales team, CTO Office, and Engineering teams to deliver innovative solutions for our clients.
What's the role?
As a Senior Client Quant Specialist, you will work at the intersection of financial markets, quantitative research, and technology, partnering with Bloomberg's clients to solve complex quantitative and investment workflow challenges.
This is a highly client-facing pre-sales engineering role. You will partner closely with BQuant Sales team throughout the client lifecycle, from technical discovery and solution design to proof-of-concept development and adoption. You will engage with quantitative researchers, portfolio managers, data scientists, developers, and technology leaders to understand their investment and technology needs and translate them into scalable solutions leveraging Bloomberg's quantitative platform, data, APIs, and enterprise capabilities.
The role combines expertise in quantitative finance and Python with modern technologies including cloud computing, data architecture, APIs, and AI/ML. As LLMs and generative AI reshape financial research, you will also explore innovative use cases that bring together these technologies with Bloomberg's data and quantitative capabilities.
You will collaborate closely with CTO and Engineering, bringing client perspectives and emerging technology trends back into Bloomberg to help shape the future of our quantitative solutions.
We'll trust you to:
- Partner with BQuant Sales team as a technical pre-sales quant specialist, helping identify, qualify, and progress opportunities for Bloomberg's quantitative solutions
- Lead technical discovery with prospective clients to understand their business needs, data requirements, and technology architecture
- Develop proofs of concept, prototypes, and technical demonstrations that translate client use cases into compelling solutions leveraging Bloomberg's quantitative platform, data, and enterprise capabilities
- Understand clients' cloud and enterprise technology environments and demonstrate how Bloomberg solutions can integrate with cloud-based research, data, and analytics workflows across AWS, Azure, and Google Cloud
- Partner closely with CTO and Engineering to translate client requirements and market trends into actionable product feedback and enhancements
- Stay current with emerging technologies and industry trends, including the generative AI and LLM ecosystem and enterprise services such as Amazon Bedrock and Azure OpenAI
You will learn on the job:
- Work at the intersection of quantitative finance, cloud technology, and AI, solving complex, real-world problems with sophisticated financial institutions
- Gain exposure to how leading investment firms design and scale quantitative research, portfolio construction, and investment workflows across Equities, Fixed Income/Credit, FX, Commodities, and other asset classes
- Build deep expertise in BQuant Enterprise, Bloomberg's data, analytics, APIs, and enterprise technology ecosystem
- Apply and expand your expertise in Python, open-source technologies, data science, and advanced analytics, while exploring how LLM-powered workflows can transform quantitative research and investment processes
- Collaborate with clients, CTO, and Engineering on complex use cases, bringing market insights back into Bloomberg and helping shape the evolution of our quantitative solutions
You'll need to have:
- Minimum 5 years of relevant experience in pre-sales engineering, solutions engineering, technical consulting, quantitative finance, or an investment-related roleFront-office or buy-side experience working with quantitative researchers, portfolio managers, or investment teams, with knowledge of Equity, Fixed Income/Credit, or Macro quantitative investment strategies
- Work experience with Python, SQL, Git/Github, as well as familiarity with AI technologies and cloud platforms such as AWS, Azure, or Google Cloud
- Familiarity with LLM APIs and enterprise generative AI services, such as Amazon Bedrock, Azure OpenAI, or similar technologies, is a plus.
- A commercial and strategic mindset, with the ability to assess client needs, identify opportunities and connect technical solutions to business value
- Highly articulate, consultative, and confident in interactions with clients
- Comfortable working in a cross-functional environment, collaborating effectively across multiple teams and stakeholders
We'd love to see:
- Experience working with large-scale financial datasets and modern data platforms
- Experience applying machine learning, AI, or advanced analytics to financial market use cases
- Familiarity with software engineering and deployment technologies such as Docker, CI/CD or Kubernetes
- Knowledge of additional programming languages or analytical technologies such as R, Java, C#, React or Rust
- Additional language skills relevant to the region, particularly Spanish or Portuguese, are a plus
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.
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.
Quantitative investment and research workflows continue to evolve rapidly, driven by advances in cloud computing, open-source technologies, and artificial intelligence. Bloomberg is uniquely positioned at the intersection of financial markets, data, and technology, enabling investment professionals to build sophisticated quantitative workflows using trusted Bloomberg data and analytics.
The Senior Client Quant Specialist team works closely with Bloomberg clients to demonstrate how Bloomberg's quantitative solutions can address complex investment research and enterprise workflow requirements and to help clients implement these solutions using our Python-based quantitative development platform, BQuant Enterprise. Powered by JupyterLab, the platform combines cloud architecture, specialized workflow libraries, and the world's leading financial database, enabling our clients to generate unique quantitative research, develop and deploy sophisticated research and investment workflows at scale.
As a global team, we have specialists based in London, New York, San Francisco, São Paulo, Hong Kong, Singapore, Tokyo, and Sydney. We work collaboratively with our Sales team, CTO Office, and Engineering teams to deliver innovative solutions for our clients.
What's the role?
As a Senior Client Quant Specialist, you will work at the intersection of financial markets, quantitative research, and technology, partnering with Bloomberg's clients to solve complex quantitative and investment workflow challenges.
This is a highly client-facing pre-sales engineering role. You will partner closely with BQuant Sales team throughout the client lifecycle, from technical discovery and solution design to proof-of-concept development and adoption. You will engage with quantitative researchers, portfolio managers, data scientists, developers, and technology leaders to understand their investment and technology needs and translate them into scalable solutions leveraging Bloomberg's quantitative platform, data, APIs, and enterprise capabilities.
The role combines expertise in quantitative finance and Python with modern technologies including cloud computing, data architecture, APIs, and AI/ML. As LLMs and generative AI reshape financial research, you will also explore innovative use cases that bring together these technologies with Bloomberg's data and quantitative capabilities.
You will collaborate closely with CTO and Engineering, bringing client perspectives and emerging technology trends back into Bloomberg to help shape the future of our quantitative solutions.
We'll trust you to:
- Partner with BQuant Sales team as a technical pre-sales quant specialist, helping identify, qualify, and progress opportunities for Bloomberg's quantitative solutions
- Lead technical discovery with prospective clients to understand their business needs, data requirements, and technology architecture
- Develop proofs of concept, prototypes, and technical demonstrations that translate client use cases into compelling solutions leveraging Bloomberg's quantitative platform, data, and enterprise capabilities
- Understand clients' cloud and enterprise technology environments and demonstrate how Bloomberg solutions can integrate with cloud-based research, data, and analytics workflows across AWS, Azure, and Google Cloud
- Partner closely with CTO and Engineering to translate client requirements and market trends into actionable product feedback and enhancements
- Stay current with emerging technologies and industry trends, including the generative AI and LLM ecosystem and enterprise services such as Amazon Bedrock and Azure OpenAI
You will learn on the job:
- Work at the intersection of quantitative finance, cloud technology, and AI, solving complex, real-world problems with sophisticated financial institutions
- Gain exposure to how leading investment firms design and scale quantitative research, portfolio construction, and investment workflows across Equities, Fixed Income/Credit, FX, Commodities, and other asset classes
- Build deep expertise in BQuant Enterprise, Bloomberg's data, analytics, APIs, and enterprise technology ecosystem
- Apply and expand your expertise in Python, open-source technologies, data science, and advanced analytics, while exploring how LLM-powered workflows can transform quantitative research and investment processes
- Collaborate with clients, CTO, and Engineering on complex use cases, bringing market insights back into Bloomberg and helping shape the evolution of our quantitative solutions
You'll need to have:
- Minimum 5 years of relevant experience in pre-sales engineering, solutions engineering, technical consulting, quantitative finance, or an investment-related roleFront-office or buy-side experience working with quantitative researchers, portfolio managers, or investment teams, with knowledge of Equity, Fixed Income/Credit, or Macro quantitative investment strategies
- Work experience with Python, SQL, Git/Github, as well as familiarity with AI technologies and cloud platforms such as AWS, Azure, or Google Cloud
- Familiarity with LLM APIs and enterprise generative AI services, such as Amazon Bedrock, Azure OpenAI, or similar technologies, is a plus.
- A commercial and strategic mindset, with the ability to assess client needs, identify opportunities and connect technical solutions to business value
- Highly articulate, consultative, and confident in interactions with clients
- Comfortable working in a cross-functional environment, collaborating effectively across multiple teams and stakeholders
We'd love to see:
- Experience working with large-scale financial datasets and modern data platforms
- Experience applying machine learning, AI, or advanced analytics to financial market use cases
- Familiarity with software engineering and deployment technologies such as Docker, CI/CD or Kubernetes
- Knowledge of additional programming languages or analytical technologies such as R, Java, C#, React or Rust
- Additional language skills relevant to the region, particularly Spanish or Portuguese, are a plus
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.
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 13 Enterprise Sales Specialist Jobs in New York
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Find JobsEnterprise Sales Specialist Jobs by City in New York
Where New York roles are concentrated, by current openings.
Enterprise Sales Specialist Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Electronics & Hardware
What New York Employers Look For
The qualifications that appear most often in enterprise sales specialist jobs across New York.
- Bachelor's degree in business, marketing, or a related field required
- Demonstrated experience managing full enterprise sales cycles from prospecting to close
- Proven ability to meet or exceed quota in a B2B or SaaS environment
- Strong executive-level communication and consultative selling skills
- Experience with CRM platforms such as Salesforce to manage pipeline and forecasting
- Familiarity with New York's financial services, media, or enterprise technology verticals preferred
Enterprise Sales Specialist Jobs in New York: Frequently Asked Questions
How do you become an enterprise sales specialist in New York?
Enterprise sales specialist is not a licensed profession in New York, so there is no state-issued credential required to work in the role. Most New York employers expect a bachelor's degree and prior B2B or SaaS sales experience. Candidates who hold certifications such as Salesforce Certified Sales Representative or MEDDIC training tend to stand out. Large New York technology and financial services firms typically promote from inside their sales development or account management teams.
How much do enterprise sales specialists make in New York?
Enterprise sales specialists in New York earn a median of about $92,190 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $45,750 for the lowest 10% to over $174,820 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire enterprise sales specialists in New York?
Employers hiring enterprise sales specialists in New York right now include Amazon Web Services, Datadog, and Adobe, based on current listings on Migrate Mate as of September 2026. New York's concentration of Fortune 500 headquarters and major financial institutions means enterprise sales roles here are often tied to high-value, complex deals in finance, media, and cloud technology.
Which New York cities have the most enterprise sales specialist jobs?
New York, Boston, and Queens have the most enterprise sales specialist openings in New York. New York City dominates because of its dense concentration of corporate headquarters, financial institutions, and enterprise technology offices, while White Plains and other Westchester County locations reflect the suburban campuses of major professional services and healthcare IT firms that hire sales talent outside the city core.
Are there remote enterprise sales specialist jobs in New York?
Yes, and more than most sales roles, since enterprise sales work is largely phone, video, and travel-based rather than tied to a fixed office floor. About 100% of enterprise sales specialist openings tied to New York are remote or hybrid as of September 2026, reflecting how widely distributed a typical enterprise sales territory can be. Prospecting, discovery calls, and pipeline management are the functions most commonly performed remotely.
How can I get hired as an enterprise sales specialist in New York with little or no experience?
The most realistic entry path is a sales development representative or inside sales role at a New York-based technology or financial services company, where structured ramp programs train new hires on enterprise sales methodology. IBM, Oracle, and Salesforce all run formal early-career sales programs from their New York offices. Moving laterally from account management, customer success, or business development within the same company is another common route. A Salesforce certification or documented SaaS product knowledge gives candidates without quota history a concrete edge.
Where can I find and apply to enterprise sales specialist jobs in New York?
You can find and apply to enterprise sales specialist jobs in New York on Migrate Mate, which lists current openings across New York's major hiring markets. Search the available roles, find the ones that fit your experience and territory preference, and apply directly to each one.
See All 13 Enterprise Sales Specialist Jobs in New York
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