Owner-operator for data processing automation: audit and redesign workflows, prototype scripting and low-code automations, configure client workflows, and translate messy private-markets data into clear technical requirements for the Data team.
COMPANY: Canoe Intelligence
WEBSITE: https://canoeintelligence.com/
TITLE:
LOCATION: New York City (hybrid)
SALARY: $120,000 - $140,000 + Bonus and Equity
The Role:
We are building the intelligence platform for private markets. As a Process Engineer on the Data Solutions Team at Canoe, you will treat our Data team as your primary customer and our internal processing platform as your product. Your mission is to take an automation-first approach to bring agentic process development into focus for data management at Canoe.
What You'll Do:
What We're Looking For:
What You'll Get:
Our Values:
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.
WEBSITE: https://canoeintelligence.com/
TITLE:
LOCATION: New York City (hybrid)
SALARY: $120,000 - $140,000 + Bonus and Equity
The Role:
We are building the intelligence platform for private markets. As a Process Engineer on the Data Solutions Team at Canoe, you will treat our Data team as your primary customer and our internal processing platform as your product. Your mission is to take an automation-first approach to bring agentic process development into focus for data management at Canoe.
What You'll Do:
- Redefine Data Processing: Investigate, optimize, rationalize, and build the future.
- Rapid Problem Solving, Prototyping, and Execution: Serve in a strategic and hands on capacity to bring automated solutions to clients and internal teams. 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.
- Operational Expertise: Own the configuration and operational alignment across client workflows to the Canoe standard, driving scale and data depth across our business.
- Bridging Ops & Engineering: Translate the messy reality of private markets data into clean, structured technical requirements for our Data Team.
What We're Looking For:
- 3-5 years of experience in data operations roles with progressive responsibility increases
- Operational Proficiency: Must be an operator. You're a person that likes to get your hands dirty and learn processes from the bottom up.
- Process Engineering Mindset: Proven ability to look at messy and unstructured data & operational workflows, deconstruct them, and rebuild them with the future state in mind.
- "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.
- Coaching & Training: You care deeply about bringing people with you, leading through influence, and aligning the current state to the future state by bringing transition to the team.
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.
Canoe New York, New York, USA Office
Canoe is located in the trendy SoHo district of downtown Manhattan, easy to get to by train or ferry (and even easier now since we're remote!).
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