Presales Engineer (AI financial solutions) - RavenPack : Job Details

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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

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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 levelEntry level

Employment type

• Employment typeFull-time

Job function

• Job functionSales and Information Technology

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