Technical Lead Manager, Veho
MLOps
$199-241k
Offers Equity
Last-mile delivery logistics for eCommerce
Be an early applicant
Last-mile delivery logistics for eCommerce
501-1000 employees
Be an early applicant
$199-241k
Offers Equity
501-1000 employees
Company mission
To revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.
Role
Who you are
- Is an expert in their craft, creating high quality ML infrastructure and delivering impactful machine learning models to our stakeholders
- Works in close collaboration with the other Data Science team members and keeps the business value at the center of their work. Has a bias for action, balancing delivering impact in the short-term while building out the long term vision
- Applies their ML / MLOPS knowledge to suggest new patterns, tools, approaches to improve the team’s models
- Drives team velocity by helping the current team develop in their careers, hiring strong new talent onto the team, and adopting AI as a core part of development
- Bachelor’s Degree plus at least 6 years of experience in Machine Learning Engineering, or Master’s Degree plus at least 4 years in Machine Learning Engineering:
- This experience should include:ML platform experience: training and serving infrastructure, feature stores, orchestration, monitoring, deployment pipelinesexperience managing impactful, high velocity ML Platform / ML Ops teams in smaller scale companiesexperience driving AI/agentic tooling adoption inside an organization
- Hands‑on experience with open‑source tooling for large‑scale ML (e.g., Ray, Flink, Feast)
- Strong knowledge of Cloud‑based data engineering and data science tools (AWS preferred) and Data Warehouses (Redshift, Databricks, Snowflake)
- Strong proficiency in Python
- Interest in building systems in a Supply Chain setting, enabling a physical supply chain to run like clockwork
What the job involves
- Veho’s Data Science team is core to Veho’s ability to deliver millions of packages by creating the systems that drive forecasting, network orchestration, pricing, and routing decisions. Being part of this team, the Machine Learning Operations team drives the foundation of these systems by being a partner to the data scientists to create well-designed, stable, and performant systems
- As the Technical Lead Manager, you’ll own our Data Science platform and our 1-2 year roadmap for creating a sophisticated and stable platform that keeps up with Veho’s rapid growth. You and your team embed into science projects so engineering quality is built in from day one, and create the templates to get new systems up and running quickly
- You’ll push our AI‑assisted development agenda and be a thought leader for the Veho data and engineering community on how to leverage AI in improving development velocity
- You will manage the Machine Learning Operations team and contribute significantly by writing code, reviewing designs, and setting the technical bar. You’ll partner closely with our Agentic Developer Experience and Builder Experience teams
- Lead and grow a team of four engineers spanning ML infrastructure, ML operations, and embedded data science project work
- Improve our internal ML platform: standardize and improve ML infrastructure, improve how DS services are created, deployed, and operated. Think service performance, permissioning, environment setup, and integration with upstream and downstream systems
- Set the roadmap for improving our Machine Learning and Operations Research infrastructure
- Embed engineers into major science initiatives (forecasting, network orchestration, pricing) so every project is technically sound and lessons learned find their way back into our platform
- Drive AI usage across DS. Collaborate with our Agentic Developer Experience team to ensure new tooling has a high impact on the Data Science team’s velocity. Set standards, introduce patterns, and drive adoption of how to leverage AI in data science workflows (EDA, model iteration, ML/OR methodologies)
- Be part of the on-call rotation for our data science production systems
Our take
Over 2M online merchant ship over 165B packages to doorsteps across the United States every year. Every one of those deliveries represents a potential difference between happy customers willing to purchase again and refer friends, and a WISMO ("where is my order?!") catastrophe.
Veho is seeking to turn those deliveries from a risk into an opportunity for online brands. The next-day delivery platform leverages a gig economy workforce and its modern communication platform to create a greatly improved last-mile logistics experience for brands and their customers.
Now that the company has been able to build out an impressive technology platform - think optimized routes and driver-customer communication channels - it is now seeking major geographic expansion.
The company is facing competition from both traditional delivery companies like FedEx as well as newer venture-backed attempts to disrupt the space like Deliverr. However, its already impressive economies of scale and customer experience means it is well positioned to dominate the market in the coming years.
Freddie
Company Specialist at Welcome to the Jungle
Insights
17% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Feb 2022
$170m
SERIES B
Dec 2021
$125m
SERIES A
Total funding: $303.4m
Company benefits
- Competitive salaries
- Meaningful equity opportunities
- Paid time off
- 401(k) retirement plan
- Medical, dental, and vision insurance
- Life insurance
- Short & long-term disability insurance
- FSA & HSA accounts
- Paid parental leave
- Wellness programs, perks, and discounts
Company HQ
Manhattan, New York, NY
Leadership
Itamar Zur
(Co-Founder & CEO)Itamar previously worked as a Sales & Customer Success Manager at Monday.com. Before that, he worked as a Brand Manager at Procter & Gamble.
Fred Cook
(Co-Founder & President)Fred previously served as the VP Marketing of P4P Marketing. Before that, he Co-Founded Gondola where he served as the CEO for 1 year. He also co-founded OneMove where he served as the CEO for 2 years.
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