WHAT YOU'LL BE DOING:

TIFIN Sage is a generative AI investment assistant that acts as a personalized CIO (Chief Investment Officer), providing advisors with actionable, personalized investment advice for their clients. Sage offers an AI-powered intelligence engine and natural language assistant that organizes client account data and utilizes advisor inputs to provide actionable answers based on natural language prompts. Financial advisors and wealth enterprises can plug this interface into their existing technology stacks and workstations and receive conversational responses that enable wealth managers to approach client communication, investment questions, and provide actionable insights quickly and with confidence. This product is developed in partnership with a premier private bank as a day-one client.

We are looking for a VP Engineering for Sage. Success will require hands-on development skills as well as architectural experience related to systems design and data infrastructure. This person will work closely with the CEO, CTO, VP Product, engineers and data scientists to drive development and product delivery. The ideal candidate has experience in a startup or scale-up environment.

THE ROLE:

• Participate in architectural, design, and product sessions and be a crucial part of the decision-making process on overall technology direction
• Work closely with Product, Design, and other Devs to build customer-facing features
• Integrate with a wide array of tools and services via API
• Develop event streaming architecture to load data into a Customer Data Platform
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies like Redshift and Glue
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Create datasets for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
• Manage technical optimization for maximum speed and scalability

WHO YOU ARE:

• Degree in Computer Science, related field, or equivalent experience
• 5+ years of increasing responsibility in fullstack or backend engineering roles, ideally in startup environments
• Real-world experience developing highly scalable solutions designed to democratize data to everyone in an organization
• Strong coding skills in Python
• Experience designing and building ETL pipelines
• Ability to work comprehensively with various databases (Postgres, SQL, MongoDB, etc.)
• Track record of choosing the proper transit, storage, and analytical technology to simplify and optimize the user experience
• Ability to thrive in a highly demanding, entrepreneurial, and fast-paced environment 
• Highly flexible, good tolerance for ambiguity, and able to quickly adapt to changing priorities
• A top performer with a proactive approach who has a “doer” & problem-solver mentality 
• An exceptional team player with strong communication skills

COMPENSATION AND BENEFITS PACKAGE:

The expected starting salary range for this position in Colorado is between $150,000 - $180,000. Applicable salary ranges may differ across markets. Actual pay will be determined based on experience and other job-related factors permitted by law.