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About the Role

Lead the Data Delivery Guild, responsible for reliably getting extracted, validated data out of Canoe to clients and downstream systems. This is a contributing manager role, combining people leadership with hands-on IC work, staying close to the code and delivery pipelines to unblock the team and make sound technical calls.

Responsibilities

• Lead a team of engineers responsible for data delivery and the systems that support it.
• Balance hands-on IC contribution with management duties, staying technical and close to the codebase.
• Drive execution against the guild's backlog and priorities, proactively identifying issues and improving process.
• Help shape the guild's approach to agent-augmented development for building and maintaining domain-specific AI agents.
• Own clear, proactive communication with the team, other engineering teams, Product, and stakeholders.
• Keep a backlog spanning concurrent integrations and delivery channels organized and visible.
• Ensure engineers remain accountable for the correctness of data reaching clients.
• Get up to speed quickly on the team's existing work and priorities, and build trust with engineers.

Requirements

• Strong initiative and a sense of ownership; bias for action and accountability for outcomes.
• Genuine enthusiasm for AI-assisted development and advocating for its adoption.
• Real curiosity and a drive to keep learning, seeking new tools and approaches.
• 3+ years in a leadership capacity (technical/team lead or engineering management) with experience guiding engineers.
• Excited about coaching and mentoring engineers, invested in their growth.
• Excellent communication skills to represent the guild clearly to Product, peer teams, and leadership.
• Well-organized and methodical, able to manage a busy backlog and multi-integration workload.
• Comfortable operating in a hands-on, contributing-manager capacity, willing to write code and debug delivery issues.
• Experience with data integration/delivery patterns (APIs, file-transfer protocols, scheduled exports, third-party system integrations) is a strong plus.
• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Experience integrating with external enterprise or financial software systems (preferred).
• Background in reliability-focused or delivery/integration-heavy engineering roles (preferred).
• Hands-on technical experience working in large, enterprise-scale monolithic codebases (preferred).
• Working proficiency in PHP and Vue (preferred).

Skills

• AI-assisted development
• Data integration
• Data delivery patterns
• APIs
• File-transfer protocols
• Scheduled exports
• Third-party system integrations
• PHP
• Vue

Location

• New York City

Work Type

• Hybrid
• Full-time

Experience Level

• 3+ years in a leadership capacity

Education Level

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)

Salary/Compensations

• $160,000 - $180,000 + Bonus

Benefits

• 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

About the Company

• Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers.
• Canoe’s technology automates manual workflows related to alternative investment document and data management, extraction and delivery.
• 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.

Equal Opportunity

• 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.