Senior Process Engineer, Canoe

Data Solutions

$150-180k

+ Bonus + Equity. Salary is based on NYC, will be adjusted for geo

SQL

Python

Mid and Senior level

New York

Remote from US

AI platform for alternative investments

Job no longer available

AI platform for alternative investments

101-200 employees

FintechB2BArtificial IntelligenceInvestingSaaSCapital Markets

Job no longer available

$150-180k

+ Bonus + Equity. Salary is based on NYC, will be adjusted for geo

SQL

Python

Mid and Senior level

New York

Remote from US

101-200 employees

FintechB2BArtificial IntelligenceInvestingSaaSCapital Markets

Company mission

To unlock efficiencies in alternative investment processes by introducing purpose-built automation into the workflows of institutional investors, asset servicers, capital allocators and wealth managers.

Job

Company

Role

Who you are

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 the job involves

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
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

Our take

The internet presents itself as a seemingly infinite source of crucial information, particularly when it comes to financial information to inform smart investment. However, the sheer amount of data available makes it incredibly difficult to mine, aggregate and analyze in a way that is fast and efficient enough to be useful.

Canoe leverages AI technology to automate the analysis of investment data, including document collection, data extraction, categorization and validation. The technology is provided in the form of cloud-based tools, API packages and integrated portals, ultimately aiming to present a unified system in which investors can tackle the inefficiencies of manual investment data analysis.

It's undeniable that other automated data analysis services are available, but the unified nature of Canoe makes it stand out as a solution with a lot of potential. Off of 2024's Series C funding, the company is further optimising and developing its product offerings.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

48% employee growth in 12 months

Glassdoor (3.4)

Company

Funding (2 rounds)

Jul 2024

$36m

SERIES C

Feb 2023

$25m

SERIES B

Total funding: $61m

Company benefits

Intracompany committees
Team based strategic planning
Group brainstorming sessions
Health/Dental/Vision Benefits
Life Insurance
Wellness Programs
Commuter Benefits
Company Outings
Happy Hours (Club Canoe) are hosted once a month, and impromptu happy hours are sprinkled in between!
Education reimbursement
Onsite and virtual training courses
Attendance at job related conferences and seminars
Monthly Lunch and Learns
Cross functional training encouraged
Promote from within
Customized development tracks
401(K)
Company Equity
Performance Bonus
Unlimited PTO
Paid Holidays

Company HQ

Canal Street, New York, NY

Leadership

Jason Eiswerth

(CEO)

Extensive experience in financial services and business development. Held various Board positions and served as Managing Director at firms such as Nima Capital.

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