Sr. Process Engineer, Data Solutions

Posted 12 Hours Ago
New York City, NY
Hybrid
150K-180K Annually
Mid level
Artificial Intelligence • Fintech • Information Technology • Machine Learning • Financial Services
First-of-its kind AI technology powering the future of alternative investments
The Role
The Sr. Process Engineer, Data Solutions will automate processes, build technical solutions, and bridge operations and engineering for data management.
Summary Generated by Built In
COMPANY: Canoe Intelligence
WEBSITE: https://canoeintelligence.com/
TITLE: Sr. Process Engineer, Data Solutions
LOCATION: New York City (hybrid) or Fully Remote in the United States
SALARY: $150,000 - $180,000 + Bonus & Equity (based on NYC, will be adjusted for geo)
The Role:
We are building the intelligence platform for private markets. As the Product Manager, Data Solutions, you will serve as the "Data Product Engineer" for our internal operations. You will treat our Data Operations team as your primary customer and our internal processing platform as your product.
This is not a traditional Product Management role where you simply write requirements. We need a technical builder and process engineer who can bridge the gap between the manual reality of Operations and the technical scalability of Engineering.
What You'll Do:
  • Kill Manual Work: Treat manual effort as a bug. Measure "Manual Touches per Document" as a core product metric and drive it down month-over-month.
  • Rapid Technical Execution: Serve as a the builder for the operations floor. Write scripts, configure tools, and build "low-code" automations to fix immediate problems.
  • Re-Engineer Broken Processes: Audit existing workflows to find "black boxes" and broken logic. Map the "As-Is" operational reality and design the "To-Be" automated future.
  • Tooling Ownership: Own the configuration and feature roadmap for our intake and validation tools.
  • Bridging Ops & Engineering: Translate the messy reality of private markets data into clean, structured technical requirements for the Engineering team.

What We're Looking For:
  • 4-7 years of experience in Technical Product Management, Process Engineering, or Data Engineering.
  • Technical Proficiency: Must be "technical enough" to build solutions (Python, SQL, Scripting) yourself.
  • Process Engineering Mindset: Proven ability to look at a messy, manual workflow, deconstruct it, and rebuild it for automation.
  • "No Ivory Towers" Attitude: Willingness to do the manual work to understand the problem.
  • Bias for Action: You prefer shipping an 80% automated solution today over planning a 100% perfect solution for next year.

What You'll Get:
  • Medical, dental, vision benefits
  • Flexible PTO
  • 401(k)
  • Flexible work from home policy
  • Home office stipend
  • Employee Assistance Program
  • Gym/Wifi reimbursement
  • Education assistance
  • Parental Leave

Our Values:
  • Client First -> Listen, and deliver client-centric solutions
  • Be An Owner -> Take initiative, improve situations, drive positive outcomes
  • Excellence -> Always set the highest standard for yourself and others
  • Win Together -> 1 + 1 = 3

Who We Are:
Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe's technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe's AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm.
Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Top Skills

Python
Scripting
SQL

What the Team is Saying

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The Company
HQ: New York, NY
180 Employees
Year Founded: 2017

What We Do

Canoe offers first-of-its kind AI technology powering the future of alternative investments.

Canoe has reimagined the future of alternative investments with cloud-based, machine-learning technology for document collection, data extraction, and data science initiatives. We transform complex documents into actionable intelligence within seconds and empower allocators with tools to unlock new efficiencies for their business.

Since the beginning, we’ve maintained a focused, client-first approach to building and enhancing our technology and will continue to do so. By introducing automation to alternatives document collection and data management workflows, institutional investors, wealth managers, and general partners are seeing dramatic improvements in data accuracy and access, team efficiency, and client satisfaction.

Why Work With Us

At Canoe, we look for people who are open-minded, willing to roll up their sleeves, and constantly ask questions. We believe that diverse backgrounds and perspectives foster conversation and innovation, and collaborate to make each other better. Canoe's success is intertwined with each individual's success, which is why we focus on the team.

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Canoe Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Depending on role, employees may be hybrid in-office in NYC, London, or Jacksonville, or fully remote.

Typical time on-site: Flexible
HQNew York, NY
Jacksonville, FL
London, GB
Learn more

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