Über
Our Ways of Working Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up.
How We Build Babylist is in the middle of a fundamental shift in how software gets made, and we are not tiptoeing into it. We are rebuilding our engineering culture around a simple belief: AI changes everything. How teams are structured, how decisions get made, how fast ideas become working software. Our engineers own problems end to end, working directly with product, design, and business partners with short feedback loops and real stakeholder access. We ship, learn, and iterate fast. When something is not working, we throw it out and start over — project failure and personal failure are not the same thing here. AI tools are as natural to our workflow as an IDE or version control. We are not exploring this, we are living it. Our engineers use AI to explore tradeoffs, pressure-test designs, and move from problem to solution in hours instead of days. They generate code with AI so they can stay focused on the decisions that actually require human judgment — not the routine ones. More velocity means more time for craft: better test coverage, stronger architecture, and deeper customer understanding. We hold ourselves to a higher quality bar because of AI, not in spite of it. We are building this playbook in real time, and we are looking for people who want to build it with us. If you have already changed how you work because of AI — or you are ready to — and you care more about shipping something great than following a prescribed process, we should talk.
React, Native iOS and Android
Ruby on Rails
AWS, Terraform
MySQL
Redis
Shopify
What the Role Is As Babylist’s
Senior Engineering Manager, Machine Learning & Discovery+Site Monetization , you’ll lead the team driving the next era of our machine learning and personalization efforts across the product. This is a hands‑on leadership role for a manager who remains technically fluent while scaling people, systems, and impact. You’ll manage and grow a high‑performing ML‑focused pod spanning product recommendations, search, PLPs, and site monetization, with a clear mandate: maximize revenue and user value across surface areas through personalization.
You’ll guide the team on technical direction behind our homepage feed, “add next” experience, and other core personalization surfaces, while building the foundations for long‑term ML excellence at Babylist.
Who You Are
3+ years of experience as a front‑line manager delivering production‑grade software or ML systems
5+ years of experience as an individual contributor in ML or Data Science, plus proven experience leading teams that build end‑to‑end machine learning systems, ideally in personalization, recommendations, or consumer‑facing ML products
Deep familiarity with the Python ML ecosystem (e.g., pandas, sklearn, xgboost, PyTorch) and comfortable reviewing designs, unblocking technical challenges, and setting high technical standards
Experience supervising ML Engineers and/or Data Scientists; bonus points for experience managing Software Engineers
Strong understanding of the full ML lifecycle, including data pipelines, workflow orchestration (e.g., Airflow), deployment, monitoring, and iteration in production
Product‑minded: passionate about technology, but primarily motivated by solving real user problems and driving business impact
Experience working with large‑scale, real‑time or near‑real‑time data systems
Comfortable owning and evolving the ML tech stack end‑to‑end, from data and modeling through production systems
Background in consumer‑facing products; experience in e‑commerce, marketplaces, or complex user journeys is strongly preferred
You’re genuinely excited about what AI can do — not just as a concept, but as something you want to get your hands on. At Babylist, every team uses AI daily, and we’re looking for people who lean in.
How You Will Make An Impact
Build and lead the ML & personalization function:
Hire, mentor, and support a multidisciplinary team (Machine Learning Engineers, Software Engineers, Product Manager, and occasional Designer), shaping the roadmap, standards, and culture for ML at Babylist
Own high‑impact ML initiatives:
Deliver personalization systems that improve discovery, engagement, and monetization across key surfaces, directly impacting business outcomes
Set technical and algorithmic direction:
Define modeling approaches, data strategy, and system architecture in partnership with senior technical leaders, balancing experimentation with scalable execution
Be hands‑on when needed:
Review ML/DS designs and code, build proof‑of‑concept models, and conduct your own data science research to de‑risk ideas and accelerate progress
Develop talent:
Coach engineers on technical growth, career progression, and performance, combining strong technical standards with empowerment
Drive cross‑functional alignment:
Partner closely with Product, Design, Analytics Engineering, and Data to translate ambiguous business problems into clear technical direction
Understand the full funnel:
Develop a deep understanding of Babylist’s user journeys, user feedback loops, and financial models — and how ML systems influence them end‑to‑end
About Compensation We use a market‑based approach to compensation. The starting salary range for this role is:
USD - $250,000 to $308,000
CAD - $230,000 to $288,000
Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity.
Why You Will Love Working At Babylist Our Culture
We work with focus and intention, then step away to recharge
We believe in exceptional management and invest in tools and opportunities to connect with colleagues
We build products that positively impact millions of people's lives
AI tools are as natural to how we work as your IDE or version control — we're not exploring this, we're living it.
Growth & Development
Competitive pay and meaningful opportunities for career advancement
We believe technology and data can solve hard problems
We're committed to career progression and performance‑based advancement
Competitive salary with equity and bonus opportunities
Company‑paid medical, dental, and vision insurance
Retirement savings plan with company matching and flexible spending accounts
Generous paid parental leave and PTO
Remote work stipend to set up your office
Perks for physical, mental, and emotional health, parenting, childcare, and financial planning
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Sprachkenntnisse
- English
Hinweis für Nutzer
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