Engineering Manager, Client Delivery

Canoe Intelligence

New York (NY)

Hybrid

USD 160,000 - 180,000

Full time

14 days+

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Benefits offered by this job

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

Job summary

Canoe Intelligence is seeking an Engineering Manager to lead the Data Delivery Guild in New York City. The role blends people leadership with hands-on coding to ensure reliable, timely data extraction and delivery to clients.

You will guide backlog priorities, support agent-augmented delivery, and maintain clear communication with Product, engineering peers, and stakeholders. This role values technical leadership and accountability.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 3+ years in a leadership capacity guiding engineers.
  • Hands-on coding and debugging in a contributing manager role.
  • Experience with data integration/delivery patterns (APIs, file-transfer protocols, scheduled exports, third-party system integrations).
  • Excellent communication and mentoring skills.
  • Experience with AI-assisted development tools is a plus.

Responsibilities

  • Lead a team of engineers responsible for data delivery and the systems that support it.
  • Balance hands-on IC contribution with management duties while staying technical.
  • Drive execution against the guild's backlog and priorities with proactive issue identification and unblocking.
  • Shape the guild's approach to agent-augmented development for AI agents in delivery pipelines.
  • Own clear, proactive communication with team, Product, and stakeholders.
  • Maintain a visible backlog across multiple integrations and channels to keep work on track.
  • Ensure engineers stay accountable for correctness of outputs delivered to clients.
  • Onboard quickly and build trust with the team.

Skills

Team Leadership
Delivery Focus
Backlog Management
AI-assisted development
Communication
Mentoring
Hands-on Coding
APIs & Integrations

Education

Bachelor's degree in CS/Engineering

Tools

PHP
Vue

Job description

COMPANY: Canoe Intelligence

WEBSITE: https://canoeintelligence.com/

TITLE: Engineering Manager, Client Delivery

LOCATION: Hybrid in New York City

SALARY: $160,000 - $180,000 base salary + bonus

The Role:

We're looking for an Engineering Manager to lead our Data Delivery Guild, responsible for getting extracted, validated data out of Canoe to clients and downstream systems — reliably, on time, and in the right format. This is a contributing manager role: you'll combine day-to-day people leadership with hands‑on IC work, staying close enough to the code and the delivery pipelines to unblock your team and make sound technical calls, not just manage from a distance. You'll own data delivery and the surrounding systems that support it, with real room to shape the guild's backlog, process, and working rhythm as it takes shape. It's a chance to lead a team with clear, high-visibility ownership over an outcome clients feel directly — and to do it in a way that's still hands‑on and technical, close to the work rather than removed from it.

What You’ll Do:
  • Lead a team of engineers responsible for data delivery and the systems that support it.
  • Balance hands‑on IC contribution with management duties — this role is expected to stay technical, not step fully out of the codebase.
  • Drive execution against the guild's backlog and priorities as set by Product and senior leadership — proactively identifying issues, unblocking your team, and improving process and sequencing along the way rather than waiting to be told what needs attention.
  • Help shape the guild's approach to agent‑augmented development — supporting how the team builds and maintains domain‑specific AI agents for extract logic and delivery integrations as a productivity multiplier.
  • Own clear, proactive communication — with your team, with other engineering teams, with Product on backlog prioritization, and with stakeholders on delivery risk and status.
  • Keep a backlog that spans many concurrent integrations and delivery channels organized and visible, so work stays on track without operational fires dictating the roadmap.
  • Ensure engineers remain accountable for the correctness of what actually reaches clients, even as agent‑assisted tooling accelerates the work.
  • Get up to speed quickly on the team's existing work and priorities, and build trust with your engineers early on.
What We’re Looking For:
  • Strong initiative and a sense of ownership — a bias for action, someone who instinctively works to fix problems rather than waiting to be told what to do, and holds themselves and their team accountable for outcomes, not just outputs.
  • Genuine enthusiasm for AI‑assisted development — you actively use coding agents such as Claude Code or equivalent tools and advocate for their adoption within your team.
  • Real curiosity and a drive to keep learning — you seek out new tools and approaches rather than defaulting to what's familiar, and bring your own ideas to team process and tooling.
  • 3+ years in a leadership capacity — either as a technical/team lead or in formal engineering management — with direct experience guiding the work of other engineers.
  • Genuinely excited about coaching and mentoring engineers, invested in their growth and career development.
  • Excellent communication skills — able to represent the guild clearly to Product, peer teams, and leadership.
  • Well‑organized and methodical — able to manage a busy backlog and keep a broad, multi‑integration workload on track.
  • Comfortable operating in a hands‑on, contributing‑manager capacity — willing to write code and debug delivery issues, not just manage.
  • Experience with data integration/delivery patterns (APIs, file‑transfer protocols, scheduled exports, third‑party system integrations) is a strong plus given the guild's mandate.
  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
Preferred:
  • Experience integrating with external enterprise or financial software systems.
  • Background in reliability‑focused or delivery/integration‑heavy engineering roles rather than purely feature‑development roles.
  • Hands‑on technical experience working in large, enterprise‑scale monolithic codebases — comfortable navigating and debugging in a mature, complex system rather than only greenfield or microservice environments.
  • Working proficiency in PHP and Vue, since you'll be expected to contribute code directly, not just review or direct it.
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.

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