About us
At RavenPack we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services we empower our clientsincluding some of the worlds most successful hedge funds banks and asset managersto enhance returns reduce risk and increase efficiency by integrating public information into their models and workflows. Building on this expertise we are launching a new suite of GenAI and SaaS services designed specifically for financial professionals.
Join a Company that is Powering the Future of Finance with AI
RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this years Top 100 Next Unicorns by Viva Technology. RavenPack has launched Bigdata our Gen-AI platform tailored for finance which is already being recognized as the #1 platform for powering financial AI agents.
About the Role
We are seeking a highly motivated Customer Technical Support Specialist with hands-on experience in supporting data and AI-powered platforms. The ideal candidate will have a strong background in Python SQL Snowflake and Jupyter notebooks along with exposure to large language models (LLMs). You will act as a trusted technical partner for our customers troubleshooting complex issues guiding best practices and collaborating with internal teams to deliver high-quality solutions.
Key Responsibilities
- Provide tier 1/2 technical support for customers working with Python SQL Snowflake and LLM-based solutions.
- Diagnose and resolve technical issues involving data pipelines APIs model integrations and notebook environments.
- Collaborate closely with engineering product and data science teams to escalate and resolve complex issues.
- Write and maintain knowledge base articles technical documentation and troubleshooting guides.
- Assist customers in writing and optimizing Python scripts SQL queries and Jupyter workflows.
- Support deployment integration and troubleshooting of LLM and machine learning workflows.
- Provide actionable feedback to engineering and product teams on feature requests and recurring issues.
Required Qualifications
- Experience in technical support solutions engineering or a related customer-facing technical role.
- Strong proficiency with Python for scripting and troubleshooting.
- Hands-on experience with SQL (query design debugging performance optimization).Working knowledge of Snowflake (data modeling query optimization access control).
- Proficiency in Jupyter Notebooks for testing and analysis.
- Familiarity with LLMs (Large Language Models) and their integration in real-world workflows.
- Strong analytical and problem-solving skills with the ability to translate technical concepts for varied audiences.
- Excellent communication skills both written and verbal.
Preferred Qualifications
- Experience supporting cloud platforms (AWS Azure or GCP).
- Understanding of APIs REST/GraphQL and integrating ML models into production systems.
- Background in data engineering or data science workflows.
- Exposure to DevOps practices or CI/CD pipelines.
Why Join Us
- Work directly with cutting-edge technologies in AI and cloud data platforms.
- Collaborate with data scientists ML engineers and product teams.
- Contribute to shaping scalable and innovative support solutions without on-call requirements.
Whats in it for You
Growth Opportunity: Join a rapidly growing company with 180 team members with offices in New York Madrid and Marbella building AI that truly matters for business and finance.
International Culture: Be part of a diverse global organization with a truly international culture.
Team of Superstars: Work alongside a talented team of professionals including Silicon Valley executives and Wall Street veterans.
Work-Life Balance: Enjoy paid vacation flexible time-off and a flexible work policy.
Benefits: Access to healthcare insurance and a 401K plan.
Hybrid work arrangement
Equal Opportunity Employer: We value diversity and do not discriminate based on race religion color national origin gender sexual orientation age marital status veteran status or disability status.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race religion colour national origin gender sexual orientation age marital status veteran status or disability status.
About usAt RavenPack we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services we empower our clientsincluding some of the worlds most successful he...
About us
At RavenPack we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services we empower our clientsincluding some of the worlds most successful hedge funds banks and asset managersto enhance returns reduce risk and increase efficiency by integrating public information into their models and workflows. Building on this expertise we are launching a new suite of GenAI and SaaS services designed specifically for financial professionals.
Join a Company that is Powering the Future of Finance with AI
RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this years Top 100 Next Unicorns by Viva Technology. RavenPack has launched Bigdata our Gen-AI platform tailored for finance which is already being recognized as the #1 platform for powering financial AI agents.
About the Role
We are seeking a highly motivated Customer Technical Support Specialist with hands-on experience in supporting data and AI-powered platforms. The ideal candidate will have a strong background in Python SQL Snowflake and Jupyter notebooks along with exposure to large language models (LLMs). You will act as a trusted technical partner for our customers troubleshooting complex issues guiding best practices and collaborating with internal teams to deliver high-quality solutions.
Key Responsibilities
- Provide tier 1/2 technical support for customers working with Python SQL Snowflake and LLM-based solutions.
- Diagnose and resolve technical issues involving data pipelines APIs model integrations and notebook environments.
- Collaborate closely with engineering product and data science teams to escalate and resolve complex issues.
- Write and maintain knowledge base articles technical documentation and troubleshooting guides.
- Assist customers in writing and optimizing Python scripts SQL queries and Jupyter workflows.
- Support deployment integration and troubleshooting of LLM and machine learning workflows.
- Provide actionable feedback to engineering and product teams on feature requests and recurring issues.
Required Qualifications
- Experience in technical support solutions engineering or a related customer-facing technical role.
- Strong proficiency with Python for scripting and troubleshooting.
- Hands-on experience with SQL (query design debugging performance optimization).Working knowledge of Snowflake (data modeling query optimization access control).
- Proficiency in Jupyter Notebooks for testing and analysis.
- Familiarity with LLMs (Large Language Models) and their integration in real-world workflows.
- Strong analytical and problem-solving skills with the ability to translate technical concepts for varied audiences.
- Excellent communication skills both written and verbal.
Preferred Qualifications
- Experience supporting cloud platforms (AWS Azure or GCP).
- Understanding of APIs REST/GraphQL and integrating ML models into production systems.
- Background in data engineering or data science workflows.
- Exposure to DevOps practices or CI/CD pipelines.
Why Join Us
- Work directly with cutting-edge technologies in AI and cloud data platforms.
- Collaborate with data scientists ML engineers and product teams.
- Contribute to shaping scalable and innovative support solutions without on-call requirements.
Whats in it for You
Growth Opportunity: Join a rapidly growing company with 180 team members with offices in New York Madrid and Marbella building AI that truly matters for business and finance.
International Culture: Be part of a diverse global organization with a truly international culture.
Team of Superstars: Work alongside a talented team of professionals including Silicon Valley executives and Wall Street veterans.
Work-Life Balance: Enjoy paid vacation flexible time-off and a flexible work policy.
Benefits: Access to healthcare insurance and a 401K plan.
Hybrid work arrangement
Equal Opportunity Employer: We value diversity and do not discriminate based on race religion color national origin gender sexual orientation age marital status veteran status or disability status.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race religion colour national origin gender sexual orientation age marital status veteran status or disability status.
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