Engineering Manager, Client Delivery

Reposted 2 Months Ago
New York City, NY, USA
Hybrid
160K-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
Lead a data delivery engineering team as a contributing manager, balancing hands-on coding with people leadership. Own delivery pipelines, integrations, backlog prioritization, and communication with Product and stakeholders. Drive AI-assisted development adoption, ensure correctness of client-facing outputs, unblock engineers, and improve processes for reliable, timely data delivery across integrations and channels.
Summary Generated by Built In
COMPANY: Canoe Intelligence, A Bloomberg Company
WEBSITE: https://canoeintelligence.com/
TITLE: Engineering Manager, Client Delivery
LOCATION: New York City
SALARY = 160,000 - 180,000 USD Annual + Benefits + 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:
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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 Intelligence ("Canoe"), a Bloomberg Company, is the data management and intelligence platform powering how the world invests in alts. Our AI-native platform automates the manual data processing, cutting operational costs and risk while future-proofing alts infrastructure for long term growth. Timely, accurate, and comprehensive data arms investment teams to act with the decisiveness of public markets. Canoe's AI-driven platform was initially incubated in 2013 for Portage Partners LLC, a private multi-family office investment firm, and launched commercially in 2017. In October 2026, Canoe became a part of Bloomberg, combining our private markets data expertise with Bloomberg's technology, data management capabilities, and global scale. Together, we're building a connected experience across public and private markets, and investing in the Canoe platform, people, and dedicated client service that got us here. With Canoe, it's all about making Alts, smarter.
Canoe is an equal opportunity employer and prohibits discrimination in employment. It is Canoe's policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, self-identified or perceived sex, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy, childbirth or related medical conditions, or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (each, a "Protected Characteristic").Canoe prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics.

Skills Required

  • 3+ years in a leadership capacity (technical lead or engineering manager)
  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
  • Comfortable operating as a hands-on contributing manager — willing to write code and debug delivery issues
  • Genuine enthusiasm for AI-assisted development and active use of coding agents such as Claude Code or equivalent
  • Strong initiative and ownership; bias for action and accountability for outcomes
  • Experience coaching, mentoring, and developing engineers
  • Excellent written and verbal communication skills for cross-team and stakeholder alignment
  • Well-organized and methodical backlog and workload management skills
  • Experience with data integration/delivery patterns (APIs, file-transfer protocols, scheduled exports, third-party integrations)
  • Experience integrating with external enterprise or financial software systems
  • Background in reliability-focused or delivery/integration-heavy engineering roles
  • Hands-on experience working in large, enterprise-scale monolithic codebases
  • Working proficiency in PHP and Vue

What the Team is Saying

Emer
Julian
Drew
Maggie
Mike
Minoo
Levi
Heather
India
Matt

Canoe Compensation & Benefits Highlights

  • Healthcare Strength — Medical, dental, and vision coverage with FSA/HSA options are explicitly listed, and health coverage is characterized positively in available benefits descriptions. These signals indicate strong core healthcare support on paper.
  • Leave & Time Off Breadth — Flexible PTO and paid holidays are included, pointing to a broad time‑off offering. Paid parental leave is also part of the package, with eligibility beginning after six months.
  • Wellbeing & Lifestyle Benefits — A $750 home‑office stipend, up to $100/month for wellness or Wi‑Fi, commuter benefits, and an EAP are provided alongside remote/hybrid flexibility. An annual $1,000 education reimbursement further supports day‑to‑day wellbeing and development.

Canoe Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

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.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

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

Similar Jobs

Canoe Logo Canoe

Support Analyst

Artificial Intelligence • Fintech • Information Technology • Machine Learning • Financial Services
Hybrid
2 Locations
180 Employees
70K-80K Annually

Canoe Logo Canoe

Data Analyst

Artificial Intelligence • Fintech • Information Technology • Machine Learning • Financial Services
Hybrid
2 Locations
180 Employees
70K-110K Annually

Canoe Logo Canoe

Data Analyst

Artificial Intelligence • Fintech • Information Technology • Machine Learning • Financial Services
Hybrid
New York City, NY, USA
180 Employees
70K-100K Annually

Canoe Logo Canoe

Relationship Manager, Enterprise

Artificial Intelligence • Fintech • Information Technology • Machine Learning • Financial Services
Hybrid
New York City, NY, USA
180 Employees
125K-155K Annually

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account