How Goods Become Great™ | We provide people everywhere with the products they need to make the most of every moment.
Walpole, MA

Manager, Machine Learning Engineering at Thrasio

| Greater Boston Area
Sorry, this job was removed at 8:39 a.m. (EST) on Tuesday, May 3, 2022
Find out who's hiring in Greater Boston Area.
See all Data + Analytics jobs in Greater Boston Area
Apply Now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.
Hop on the Rocketship 

Thrasio is a next-generation consumer goods company reimagining how the world’s most-loved products become accessible to everyone. We use a deep understanding of rankings, ratings, and reviews to identify and acquire quality brands and use world-class expertise and data science to make their products better or create new ones to meet changing customer demand.

We’ve got huge goals, and every Thrasher plays an integral part in getting us to the stratosphere. That’s why we only bring on people who think positively. Who look out for the team. Who tell their egos to take a hike while they get the job done right.

From the moment you hop on our rocketship, we give you the freedom you need to take big swings and push what’s possible to get us there. And if you fail, it’s cool—we know you’ll grow spectacularly. What matters is that you’re helping impact millions of people around the world who use our products everyday.

Because with every new spatula, pillow, or marker brand we acquire, with every coffee roaster or body wash we develop, our goal is to provide people everywhere with what they need to make the most of every moment - ensuring that what gets delivered to their door delivers. 


With the experience of evaluating more than 6,000 Amazon companies, acquiring over 130 top-rated brands, and managing the scale of 22,000 products, Thrasio is the largest acquirer of Amazon FBA brands. Since our founding in 2018, the team has grown to more than 1,000 people globally--most of that growth has occurred during the COVID-19 pandemic. Hiring people who share a passion for their craft in the eCommerce space is the reason we’re projected to grow more than 10x in the next few years. This growth is supported by investors whose portfolios include Facebook, Google,, StitchFix, and Lululemon. We do our best work when we’re surrounded by people who are insatiably curious, agile, and who thrive in collaborative, check-your-ego-at-the-door working environments. Sound like you? We’d love to chat.
In this role, you will be the center of data-driven decision making and applied research for the company as we use the latest ML/DL and data science techniques to continuously optimize every aspect of the business, including inventory management, forecasting, acquisition target recommendation, keyword optimization, and a whole new category of decision management for day to day operations.


  • Leading and developing a team of machine-learning engineers
  • Owning the full machine learning life-cycle from conception to prototyping, testing, deploying, and measuring its overall business impact
  • Developing quantitative models, leveraging the full spectrum of machine learning techniques
  • Collaborating closely with data scientists to enable data-driven decision making with our Thrasio business stakeholders and to enhance the experience of our external stakeholders
  • Designing large-scale applied AI systems and improving our knowledge graphs
  • Setting team best practices and owning the quality of our codebase and workflows 
  • Interfacing with data scientists, data engineers, software engineers, and product managers to build ML services, libraries, and infrastructure
  • Requesting cross-functional feedback by writing technical documents to communicate design and architecture decisions, implementation strategies, risks, and timelines
  • Being proactive and taking the strategic initiative by being a team player
  • Understanding and optimizing Amazon black-box algorithm performance across our suite of products
  • Providing technical leadership by driving strategic initiatives for your team and mentoring junior ML Engineers 
  • Deploying, scaling, and iterating on machine learning models 
  • Evaluating, tracking, and reporting on technical progress, results, risks, mitigation, and opportunities for projects and translating strategy into plans that are clear and measurable, with progress shared out regularly with stakeholders
  • Delivering presentations to high-level business leaders that tell cohesive, logical stories using data and build a data-centric culture at Thrasio
  • Identifying and owning the execution of new research and engineering opportunities that could be game-changing for Thrasio


  • 2+ years experience as an engineering technical lead or manager
  • 5+ years of experience in ML engineering roles
  • Track record of mentoring junior staff members and helping them grow their autonomy
  • Highly proficient in Python, SQL, data structures, system design, and algorithms.
  • Machine learning experience with supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, or time series
  • Machine learning operations experience with CI/CD, observability, deployment, automated testing, monitoring, and alerting
  • Energized to collaborate across business leads with strong communication skills, ability to synthesize information and desire to influence business decisions
  • Ability to communicate technical concepts verbally and in writing 
  • An intuitive sense of how quantitative and technical work aligns closely with business priorities and business value
  • Thrives in a transparent, agile, and collaborative environment
  • Be really excited with the idea of building something new, for a business tackling e-commerce in an entirely different way
  • Bachelor's Degree in Engineering, Computer Science, a related quantitative degree or relevant experience


  • Master's Degree or PhD in a quantitative field such as Mathematics, Economics, Computer Science, Engineering, Physics, Neuroscience, or Operations Research
  • Proficiency in C++ and Java
  • Strong understanding of applied statistical methods and quantitative research
  • Experience working for a company specializing in e-commerce or finance & acquisitions
  • Familiarity with Amazon AWS, Databricks, Snowflake, Plotly, and Kubernetes 

Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend only to apply if they meet 100% of the qualifications. At Thrasio, we need people who think rigorously and aren’t afraid to challenge assumptions, so we’re looking for diverse perspectives, as long as you meet the minimum criteria. 
You’re encouraged to apply even if your experience doesn’t precisely match the job description. Join us!


Thrasio does not accept agency resumes. Please do not forward resumes to our jobs alias, Thrasio employees or any other organization location. Thrasio is not responsible for any fees related to unsolicited resumes.

See More
Apply Now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.

Where we are

Our office is about 15 miles southwest of Boston and is nestled between the commuter rail station, restaurants, town commons, and locally-owned shops.

Technology we use

  • Engineering
  • Product
    • JavascriptLanguages
    • PythonLanguages
    • SqlLanguages
    • Always open to new technologies that will help us get the job done!Languages
    • ReactLibraries
    • GraphQLLibraries
    • DjangoFrameworks
    • PostgreSQLDatabases
    • SnowflakeDatabases
    • RedshiftDatabases
    • ConfluenceManagement
    • JIRAManagement

What are Thrasio Perks + Benefits

Thrasio Benefits Overview

Thrasio believes in investing in our employees' wellbeing. Our #1 priority is having a happy, healthy & harmonious team of employees to keep us on the path to success!

Volunteer in local community
Partners with Nonprofits
Friends outside of work
Eat lunch together
Intracompany committees
Daily sync
Open door policy
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Pair programming
Open office floor plan
Documented equal pay policy
Dedicated Diversity/Inclusion Staff
Highly diverse management team
Diversity Employee Resource Groups
Hiring Practices that Promote Diversity
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Mental Health Benefits
Retirement & Stock Options Benefits
Beginning September 2021
Company Equity
Performance Bonus
Child Care & Parental Leave Benefits
Generous Parental Leave
Flexible Work Schedule
Remote Work Program
Vacation & Time Off Benefits
Unlimited Vacation Policy
Generous PTO
Paid Holidays
Perks & Discounts
Beer on Tap
Casual Dress
Company Outings
Game Room
Stocked Kitchen
Some Meals Provided
Happy Hours
Pet Friendly
Fitness Subsidies
Home Office Stipend for Remote Employees
Professional Development Benefits
Lunch and learns
Cross functional training encouraged
Promote from within
Time allotted for learning
Customized development tracks

An Insider's view of Thrasio

What's something quirky about your company?

Thrasio culture thrives on the "fail-forward" mentality and it really encourages people to learn from their mistakes rather than being ashamed of them. This has really helped me gain confidence in my work and allowed me to take necessary risks that I would have otherwise avoided due to fear of failure.

Sofia Cacho

Partner Success Manager

How do you collaborate with other teams in the company?

Thrasio uses Zoom and Slack to foster collaboration between teams. Each brand has a dedicated Slack channel where we can talk through strategy and ideas. Often, groups will jump in a Zoom to talk through next steps and how we can work together to achieve success. These impromptu meetings and Slacks help us build a cohesive plan for each brand.

Keith Jarvis

Director Google SEO

What makes someone successful on your team?

The most successful people at Thrasio aren’t afraid to try new things and take risks. Even if things fail, taking accountability and learnings from that to put toward the next project helps us all be more and more successful as we grow.

Jackie Pomposelli

Director, Marketing Operations

How do your team's ideas influence the company's direction?

Data is the heart of Thrasio. The Technology team fuels data-driven decision making that optimizes our brands and overall internal functioning. We design structures, systems, experiments, and tools to address critical questions. We teach business stakeholders how to understand and use data. We’re the source that informs our company’s direction.

Jeremy Freeman

Senior Vice President of Technology

More Jobs at Thrasio