---
title: 'ML Ops Engineer at Nift'
canonical: 'https://feeny.ai/job/ml-ops-engineer-nift-israel-5zb6fy5ds9q8'
type: 'job'
last_seen: '2026-09-11'
---

# ML Ops Engineer at Nift

- **Company:** Nift
- **Location:** Israel
- **Work type:** remote
- **Posted:** 2026-09-10
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.greenhouse.io/nift/jobs/5234369007

## Job description

Nift is disrupting performance marketing, delivering millions of new customers to brands every month. We’re looking for a hands-on ML Ops Engineer to partner with our data scientists to turn their models into production-ready systems.

In this role, you’ll report to the Data Science Manager and work closely with our Data Scientists and Product developers. You’ll architect storage and compute, harden training/inference pipelines, and make our ML code, data workflows, and services reliable, reproducible, observable, and cost-efficient. You’ll also set best practices and help scale our platform as Nift grows.

Our Mission:

Nift’s mission is to reshape how people discover and try new brands by introducing them to new products and services through thoughtful "thank-you" gifts. Our customer-first approach ensures businesses acquire new customers efficiently while making customers feel valued and rewarded. We are a data-driven, cash-flow-positive company that has experienced 731% growth over the last three years. Now, we’re scaling to become one of the largest sources for new customer acquisition worldwide.

Backed by [Spark Capital](https://www.sparkcapital.com/) &[Foundry](https://foundry.vc/) who also invested in Slack, Snap, SeatGeek, Fitbit, Warby Parker, Wayfair and Twitter, we are poised for exponential growth and ready to demonstrate impact on a global scale. Read more about our growth[here](https://www.businesswire.com/news/home/20251119582928/en/Nift-Ranked-Number-120-Fastest-Growing-Company-in-North-America-on-the-2025-Deloitte-Technology-Fast-500).

What you will do:

- ML platform: Productionize training and inference (batch/real-time), establish CI/CD for models, data/versioning practices, and model governance
- Feature & model lifecycle: Centralize feature generation (e.g., feature store patterns), manage model registry/metadata, and streamline deployment workflows
- Observability & quality: Implement monitoring for data quality, drift, model performance/latency, and pipeline health with clear alerting and dashboards
- Engineering excellence: Refactor research code into reusable components, enforce repo structure, testing, logging, and reproducibility
- Cross-functional collaboration: Work with DS/Analytics/Engineers to turn prototypes into production systems, provide mentorship and technical guidance
- Roadmap & standards: Drive the technical vision for ML platform capabilities and establish architectural patterns that become team standards

What you need:

- Experience: 5+ years in ML Ops, including ownership of ML infrastructure for large-scale systems
- Software engineering strength: Strong coding, debugging, performance analysis, testing, and CI/CD discipline; reproducible builds. Extensive commercial experience with Python developing automated pipelines bringing ML models to production
- Cloud & containers: Production experience on AWS, DataBricks, Docker + Kubernetes (EKS/ECS or equivalent)
- IaC: Terraform or CloudFormation for managed, reviewable environments
- ML tooling: MLflow/SageMaker (or similar) with a track record of production ML pipelines
- Monitoring/observability: ML monitoring (quality, drift, performance) and pipeline alerting
- Collaboration: Excellent communication, comfortable working with data scientists, analysts, and engineers in a fast-paced startup
- PySpark/Glue/Dask/Kafka: Experience with large-scale batch/stream processing
- Analytics platforms: Experience integrating 3rd party data
- Model serving patterns: Familiarity with real-time endpoints, batch scoring, and feature stores
- Governance & security: Exposure to model governance/compliance and secure ML operations
- Be mission-oriented: Proactive and self-driven with a strong sense of initiative; takes ownership, goes beyond expectations, and does what's needed to get the job done

What you get:

- Competitive compensation, flexible remote work
- Unlimited Responsible PTO
- Great opportunity to join a growing, cash-flow-positive company while having a direct impact on Nift's revenue, growth, scale, and future success

## About Nift

## Company Overview
- **One-liner**: Nift helps platforms and brands turn moments of appreciation into powerful customer experiences by delivering AI-matched, personalized thank-you gifts that drive discovery and measurable business results.
- **Entity Type**: Private (Series A; total funding $19.5M)
- **Headquarters**: Boston, Massachusetts, United States
- **Founded**: 2014
- **Founders**: Not publicly available

## Core Business
- **Primary industry**: Performance marketing / advertising services (gift-based customer acquisition)
- **Target customers**: B2B (platforms like Afterpay, Klarna, Tripadvisor, Ticketmaster; brands like Fabletics, Chewy, Harry’s, HelloFresh)
- **Mission**: “Elevate gratitude through thoughtful gifts, forging meaningful connections, and empowering businesses to thrive together.”

## Products & Services
- **Nift Platform**: An AI-powered performance marketing platform that enables partner platforms to reward their users with curated gift cards from a network of thousands of brands. Consumers receive a “thank-you” gift after completing an action (purchase, signup, review, milestone); Nift’s proprietary AI matches each user with relevant gift options based on preferences and availability. The result is a measurable lift in customer acquisition and loyalty for brands, and higher engagement for platforms.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Annual revenue of $7M (LinkedIn estimate); $19.5M total funding raised across two seed rounds and a Series A
- **Notable Investors**: Spark Capital (seed), Foundry Group, Accomplice (Series A lead)
- **Notable Partners**: Afterpay, Klarna, Tripadvisor, Ticketmaster, Meetup, Mindbody, ParkMobile, iHeartRadio; brands include Fabletics, Chewy, Harry’s, HelloFresh, Allbirds, Rocksbox, Quip, Scentbird, LiquidIV, SiriusXM
- **Growth Signals**: Delivers 50 million+ thank-yous per month across the U.S., UK, and Canada; recognized by Deloitte as one of North America’s fastest-growing technology companies; headcount grew 22.3% YoY (to ~53 employees), operating in 7 countries; recent job postings up 240% year-over-year; expanding into EMEA (hiring General Manager, UK)

## Competitive Advantages
- **AI-driven matching** that increases conversion rates (up to 10%) and drives 70% of consumers to plan purchases from discovered brands
- **Network effects** – a curated marketplace of thousands of brands and millions of consumers, creating a “gratitude flywheel” that benefits all parties
- **Seamless integration** with high-engagement platforms, turning thank-you moments into incremental revenue streams
- **Proven outcomes** – 72% of consumers feel more positively about the platform that rewarded them

## Strategic Focus
- Deepen partnerships with leading consumer platforms and expand into new verticals and geographies (U.K., Australia, Canada)
- Scale the brand network and improve AI personalization to increase conversion and lifetime value
- Continue investing in data science and engineering to maintain competitive advantage in targeting and measurement

## Why Work Here
- **Culture**: Fully remote across all 50 U.S. states (and Israel); emphasis on innovation, transparency, respect, and data-driven decision-making
- **Benefits**: Comprehensive health, dental, vision insurance; equity for all full-time employees; unlimited responsible PTO; quarterly team meetups, trivia nights, and an annual company-wide offsite
- **Growth**: Opportunities for advancement based on performance and impact; roles in data science, sales, finance, people, and more
- **Team**: ~53 employees (LinkedIn) with a flat structure; rated 3.9/5 on employer reviews with a 4.3/5 for work-life balance
- **Values**: “We treat everyone with respect. Period.” – a strong commitment to diversity and inclusion

## Sources
1. [Greenhouse Jobs Page](https://job-boards.greenhouse.io/nift)
2. [Nift Careers Page](https://www.gonift.com/business/careers/)
3. [Nift Main Website](https://www.gonift.com/)
4. [LinkedIn Company Page](https://www.linkedin.com/company/nift-networks)
5. [Built In Boston Profile](https://www.builtinboston.com/company/nift)

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- [Executive Assistant to the CEO](https://feeny.ai/job/executive-assistant-to-the-ceo-nift-united-states-9t3mpbbx5x99) — United States
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