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RavenPack

Presales Engineer (AI financial solutions)

RavenPack, New York, New York, us, 10261

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Presales Engineer (AI financial solutions)

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Presales Engineer (AI financial solutions)

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RavenPack Get AI-powered advice on this job and more exclusive features. This range is provided by RavenPack. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range

$150,000.00/yr - $200,000.00/yr Direct message the job poster from RavenPack Talent Advisor - Senior Sourcer & Technical Recruiter at RavenPack @bigdata.com | NLP & GenAI for Financial Research | AI financial agents

About RavenPack RavenPack is the leading big data analytics provider for financial services. Financial professionals and organizations rely on RavenPack for its speed and accuracy in analyzing large amounts of unstructured content. Our products help clients enhance their decision-making by quantifying the impact of media sentiment and attention. Our clients include the world’s most successful hedge funds, banks, and government agencies. As we continue to grow, we're looking for passionate, technically skilled professionals to join our expanding European and US sales support team. About the Role We are looking for a

Solutions Engineer

to serve as a key technical and strategic resource in the presales process. You will work closely with Sales, Product, and Data Science teams to deliver tailored, high-impact AI solutions to some of the most sophisticated players in the financial world. This role is ideal for someone who enjoys working with data, developing client-focused solutions, and articulating complex ideas with clarity and confidence. You’ll become a subject matter expert on RavenPack’s product suite and play a central role in helping prospective clients evaluate, adopt, and derive value from our platform. Key Responsibilities Serve as a

subject matter expert

on RavenPack’s data and

Bigdata.com

platform features, and technical implementations. Partner with the sales team to

pursue new business opportunities , supporting the technical aspects of the sales process. Conduct

technical discovery sessions

with prospects to understand workflows, data needs, and model integration opportunities. Deliver tailored

product demonstrations

and build compelling Jupyter notebooks that showcase AI/ML capabilities and business value. Lead

proof of concept (POC)

projects, helping clients validate solutions that improve investment models, risk frameworks, or research pipelines. Collaborate with RavenPack’s global

Product and Data Science teams

to provide field insights and drive product innovation. Support RFPs, security reviews, and

technical documentation

for enterprise procurement processes. Stay informed on

financial technology trends , AI/ML use cases, and sentiment analytics applications in the investment landscape. Requirements 7 -10 years of experience in a

Solutions Engineer, Sales Engineer, Product Specialist , or equivalent client-facing technical role. Experience in enterprise search, NLP, ML demonstrating

passion for technology Working knowledge of

financial markets Strong hands-on experience with

Python, R, or MATLAB

— especially for developing Jupyter notebooks and client prototypes. Excellent

oral and written communication

and presentation skills; comfortable engaging both technical and non-technical audiences. Strong

problem-solving

skills and the ability to think analytically under pressure. Bachelor’s degree in

Computer Science, Mathematics, Data Science, or related field . Excellent time management and organizational skills; able to multitask and meet tight deadlines. Why Join RavenPack Work with

cutting-edge AI and NLP technology

at the intersection of media analytics and capital markets. Collaborate with a team of smart, driven professionals across sales, product, and data science. Influence some of the most critical technology decisions for leading hedge funds, banks, and institutions. Be part of a

fast-growing company

where your voice, creativity, and technical expertise are valued and visible. Flexible work environment — choose between remote work or our NYC office. Seniority level

Seniority level Entry level Employment type

Employment type Full-time Job function

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