---
title: 'Machine Learning Ops Engineer at Impact.com'
canonical: 'https://feeny.ai/job/machine-learning-ops-engineer-impact-com-cape-town-76awr29jskzd'
type: 'job'
last_seen: '2026-11-01'
---

# Machine Learning Ops Engineer at Impact.com

- **Company:** Impact.com
- **Location:** Cape Town, South Africa
- **Posted:** 2026-10-29
- **Last confirmed live:** 2026-11-01
- **Apply:** https://job-boards.greenhouse.io/impact/jobs/8630956002

## Job description

Our Company:

At impact.com we are passionate about our people, our technology, and are obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. We use cutting edge technology to solve real-world problems for our clients and continue to pull ahead of the pack as the leading SaaS platform for businesses to automate their partnerships and grow their revenue like never before. We have an entrepreneurial spirit and a culture where ambition and curiosity is rewarded. If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world, then this is the place for you!

impact.com, the world’s leading partnership management platform, is transforming the way businesses manage and optimize all types of partnerships—including traditional rewards affiliates, influencers, commerce content publishers, B2B, and more. The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the brands and communities that customers trust to make purchases, get information, and entertain themselves at home, at work, or on the go. To learn more about how impact.com’s technology platform and partnerships marketplace is driving revenue growth for global enterprise brands such as Walmart, Uber, Shopify, Lenovo, L’Oreal, Fanatics, and Levi’s, visit[www.impact.com](http://www.impact.com).

Your Role at impact.com:

As Machine Learning Ops Engineer you will own the production pipeline for all DS job, work closely with data science on new pipelines and create monitoring solutions around all aspects of pipeline, and more.

Exciting opportunity for someone with strong MLOps and Data Engineering experience.

What You'll Do:

- Own production pipeline for all DS jobs
- Work closely with data science on new pipelines
- Create monitoring solutions around all aspects of pipeline
- Scale solutions around data volumes, budget, SLAs, infrastructure
- CI/CD pipeline ownership
- Help Architect necessary data handoffs to other squads
- Develop and mentor best practices within Impact
- Interface with external systems to extract data
- Operate independently, research new technologies, champion solutions
- Collaborate cross squad to develop various data handoffs

What You Have:

- Masters in Computer Science, Data Science preferred
- 3+ years experience in developing and deploying machine learning models in a production environment.
- 1+ year of experience in MLOps and Data engineering
- Experience in Databricks preferred
- Experience in all DS libraries
- Google Cloud environment certifications a plus
- Collaboration with squads, leadership role,
- Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)
- Familiarity with DevOps practices and tools such as Kubernetes, Docker, Jenkins, Git
- Strong DevOps mentality: Knowledge of making a complicated pipeline simple and easy to maintain, with proven experience of Terraform/Spark
- Continuous Learner
- Cloud / GCP experience
- Big Data experience
- Highly organized, proven ability to work on multiple projects at once
- Problem Solving

Benefits:

- Hybrid, Casual work environment
- Responsible PTO policy
- Take the time off that you need. We are truly committed to a positive work-life balance, recognising that it is important to be happy and fulfilled in both
- Primary caregiver leave
- Training & Development
- Learning the advanced partnership automation products
- Medical Aid and Provident Fund
- Group schemes with Discovery & Bonitas for medical aid
- Group scheme for provident fund
- Restricted Stock Units
- 3-year vesting schedule pending Board approval
- Internet Allowance
- Fitness club fee reimbursements
- Technology stipend

impact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

## About Impact.com

## Company Overview
- **One-liner**: Impact.com is the world’s leading partnership management platform, enabling enterprises to discover, manage, track, and optimize all types of partnerships—from affiliates and influencers to strategic brand alliances—powered by AI and a $100B+ commerce network.
- **Entity Type**: Private (Growth-stage, backed by prominent venture capital)
- **Headquarters**: Santa Barbara, California, USA
- **Founded**: 2008
- **Founders**: David A. Yovanno (CEO), Todd Crawford, and others

## Core Business
- **Primary industry/industries**: Partnership Marketing Technology (SaaS), Affiliate Marketing, Influencer Marketing, Commerce Technology
- **Target customers**: B2B, Enterprise (over 5,000 global brands including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics)
- **Mission or purpose statement**: To create impact through partnerships by transforming the way enterprises manage and optimize all types of partnerships.

## Products & Services
- **Impact.com Platform (Core SaaS)**: An AI-native, all-in-one partnership management platform that unifies affiliate, creator, and referral programs. It covers the full partnership lifecycle: Discover & Recruit, Track, Engage, Contract & Pay, Protect & Monitor, and Optimize.
- **TrueLink™**: A proprietary cross-device tracking technology that provides a complete view of the customer journey while prioritizing privacy.
- **AI-Powered Optimization**: Predictive analytics and machine learning tools to evaluate partner value, assess customer lifetime value, and optimize performance across the partnership network.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company). The company has raised significant growth capital from top-tier investors.
- **Key Metric**: Over 5,000 global brands use the platform, managing more than 225,000 active partnerships. The platform powers over $100B in partnership commerce annually.
- **Notable Investors/Partners**: Backed by prominent venture capital firms (specific names not listed in provided sources, but widely reported as including growth equity investors). Key customers include Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics.
- **Growth Signals**: 1,000+ employees across 21 global offices; 20+ nationalities represented; actively hiring for 84+ roles across engineering, data science, product, marketing, and sales; expanding AI capabilities (e.g., Internal Systems Engineer for Applied AI, Principal Data Scientist for Fraud Modelling).

## Competitive Advantages
- **All-in-One Platform**: Unifies affiliate, influencer, and referral programs in a single dashboard, eliminating the need for multiple tools and fragmented data.
- **AI-Native & Data-Rich**: Leverages AI to predict partner value, assess customer lifetime value, and optimize performance, powered by a network of over $100B in partnership commerce.
- **Full-Stack Protection**: Built-in fraud detection, compliance monitoring, and traffic quality analysis to protect brand integrity and maximize ROI.
- **Proprietary Tracking (TrueLink™)**: Cross-device, privacy-first tracking that provides a complete picture of partner-driven conversions.
- **Scale & Trust**: Trusted by over 5,000 global brands including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics.

## Strategic Focus
- **AI-First Innovation**: Deep investment in AI and machine learning, including roles for Applied AI, Next Gen Recommendation Systems, and Fraud Modelling, to further automate and optimize partnership performance.
- **Global Expansion**: Continued growth of its 21 global offices and hiring across North America, Europe, Asia, and Africa to support a diverse, international customer base.
- **Platform Unification**: Driving the industry shift from siloed affiliate, influencer, and referral tools to a single, unified partnership management platform.
- **Enterprise Scale**: Deepening relationships with large enterprise clients and expanding the platform’s capabilities to serve the world’s biggest brands.

## Why Work Here
- **Culture & Mission**: Described as a global community of “growth technologists” who are adaptable, passionate, and collaborative. The company emphasizes science and technology to create transformational growth.
- **Remote/Hybrid/Office Policy**: Flexible working policy with work-from-home opportunities. Many roles are listed as hybrid or remote (e.g., “Hybrid” in New York City, “Remote (US)”). The policy is tailored to each role and location.
- **Notable Perks**:
    - **Work-Life Balance**: Flexible, unlimited time-off policy.
    - **Family Matters**: Paid family leave for both birthing and non-birthing parents.
    - **Health & Wellness**: Inclusive, comprehensive healthcare plans for employees and their families.
    - **Financial Growth**: Company-matched retirement plans and company stock options.
    - **Professional Development**: A wide variety of professional development courses and training.
    - **Global Community**: 20+ nationalities represented; strong emphasis on diversity, equity, and inclusion.
- **Engineering Culture**: Heavy investment in AI, data science, and platform engineering. Roles include Data Scientist (Next Gen Recommendation Systems), Principal Data Scientist (Fraud Modelling), and Internal Systems Engineer (Applied AI), indicating a sophisticated, data-driven engineering environment.

## Sources
1. [impact.com](https://impact.com/)
2. [impact.com About](https://impact.com/about/)
3. [impact.com Careers](https://impact.com/careers/)
4. [impact.com Greenhouse Job Board](http://job-boards.greenhouse.io/impact)
5. [impact.com LinkedIn](https://www.linkedin.com/company/impactdotcom)

## Other roles at Impact.com

- [Partnership Trust & Safety Manager](https://feeny.ai/job/partnership-trust-safety-manager-impact-com-seattle-victoria-cnzee54wcsdq) — Seattle Victoria, NY
- [Marketplace Growth Lifecycle Manager](https://feeny.ai/job/marketplace-growth-lifecycle-manager-impact-com-cape-town-6gahfcc81f3a) — Cape Town, South Africa
- [Senior API Data Analyst](https://feeny.ai/job/senior-api-data-analyst-impact-com-cape-town-aq0rf2ssyx2h) — Cape Town, South Africa
- [Solutions Consultant](https://feeny.ai/job/solutions-consultant-impact-com-remote-t3zwya6kts9q)
- [FP&A Associate](https://feeny.ai/job/fp-a-associate-impact-com-cape-town-2b0ymjdgy7p6) — Cape Town, South Africa
- [Creator Productivity Manager](https://feeny.ai/job/creator-productivity-manager-impact-com-kuala-lumpur-4pn4hqtc25qq) — Kuala Lumpur, Malaysia
- [Associate Data Platform Engineer](https://feeny.ai/job/associate-data-platform-engineer-impact-com-cape-town-8p00h411dgsg) — Cape Town, South Africa
- [Program Compliance Manager](https://feeny.ai/job/program-compliance-manager-impact-com-remote-tfvacn3wj98h)
- [Senior Revenue Operations Analyst](https://feeny.ai/job/senior-revenue-operations-analyst-impact-com-new-york-4vbmr1c0bv7j) — New York, NY
- [Full Stack Software Engineer](https://feeny.ai/job/full-stack-software-engineer-impact-com-columbus-b4e9f1vqyzb2) — Columbus, OH