GenAI Engineer - Product Marketing & Adoption
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Before you apply
LocationCape Town, Capetown
Work modehybrid
Typefull-time
SeniorityEntry
Experience1+ yrs
DepartmentBusiness Operations
EquityIncluded
Company size1,001–5,000 people
PostedJul 7, 2026 · 4mo ago
Verified live3d ago
May no longer be actively hiring
Posted by the company on Jul 7, 202649% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
Understanding of LLM/GPT concepts
Proficiency in prompt engineering
Proficiency with Python
Experience with data visualization tools (e.g., Tableau, Power BI, Looker) and/or SQL query writing
Excellent written and verbal communication skills, with the ability to present complex technical concepts to non-technical stakeholders
Ability to work collaboratively in a cross-functional team environment
Willingness to learn new skills and technologies, and to adapt to the evolving needs of the business
At least 1 year working in Generative AI, or extensive and demonstrable personal projects
Experience with machine learning frameworks/libraries such as TensorFlow, PyTorch, Apache MLlib, or Scikit-learn
Experience working in Google's (GCP) environment
Proficiency with Javascript/Typescript or Java/Scala
Experience in and understanding of marketing/advertising industry
Previous experience in a startup or fast-paced environment
Affiliate & Partnerships Industry Fundamentals Certification by PXA
Equal employment opportunity regardless of race, ethnicity, ancestry, color, caste, religion, belief, age, sex, national origin, weight, neurodivergence, disability, marital status, caregiving status, veteran status, genetic information, political affiliation, or other protected characteristics
Skills
Vertex AI
Python
Tableau
Power BI
Looker
SQL
TensorFlow
PyTorch
Apache MLlib
Scikit-learn
Google Cloud Platform
Javascript
Typescript
Java
Scala
Benefits
Unlimited PTO
Training and development
Medical aid
Provident fund
Stock options
Internet allowance
Flexible hours
Casual environment
Technology stipend
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.
Your role at Impact.com:
We are seeking a talented Gen AI engineer with a passion for creating and maintaining AI agents and generative features in our applications. You will focus on creating, testing and maintaining prompts; monitoring answer quality; adding content to search indexes to facilitate retrieval augmented generation (RAG); and integrating with new APIs to enhance the agent’s capabilities.
Your work will enable our client users to work more efficiently and promote more relationships being created and becoming successful and better performing in our partnerships marketplace.
What You’ll Do:
•
Leverage Google Cloud’s Vertex AI products to maintain and enhance our “Copilot” agent feature.
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Enhance the capabilities of the agent by integrating with additional Impact or external APIs (via function calling / actions).
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Enhance the agent’s analytics capabilities with new integrations exposing additional data sets.
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Enhance the knowledge of the agent by adding more context to its search index.
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Create tools and processes for monitoring, and then monitor the agent’s answers’ quality and correctness.
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Leverage reinforcement learning (RLHF), adapter tuning or other methods to further tune the model beyond leveraging prompts, examples, and context.
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Evaluate using new LLMs with the agent as they become available.
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Work with the squad’s full stack engineer to expose new features in the user interface, and deploy the agent or point content generation capabilities throughout our apps.
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Work closely with product managers to identify new features and enhancements, estimate level of effort, prototype, implement and deploy.
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Interface with our Google solutions team to clarify gaps in documentation, report bugs or unexpected behavior, submit feature requests, or get help when evaluating a product or feature.
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Stay up-to-date with the latest advancements in AI and machine learning, and continuously explore new techniques and technologies to enhance our product offerings.
What You’ll Have:
•
Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field**.**
•
Technical Expertise:
•
Understanding of LLM/GPT concepts
•
Proficiency in prompt engineering.
•
Proficiency with Python
•
Experience with data visualization tools (e.g., Tableau, Power BI, Looker) and/or sql query writing.
•
Experience with machine learning frameworks/libraries such as TensorFlow, PyTorch, Apache MLlib, or Scikit-learn is a plus.
•
Experience working in Google’s (GCP) environment is a plus.
•
Proficiency with Javascript/Typescript or Java/Scala is a plus.
•
Experience in and understanding of marketing/advertising industry is a plus.
•
Communication: Excellent written and verbal communication skills, with the ability to present complex technical concepts to non-technical stakeholders.
•
Team Player: Ability to work collaboratively in a cross-functional team environment.
•
Adaptability: Willingness to learn new skills and technologies, and to adapt to the evolving needs of the business.
•
Experience: At least 1 year working in Generative AI, or extensive and demonstrable personal projects (be prepared to show in Kaggle, Github, OpenAI, etc; to demo and describe in detail, answer questions and defend critiques)
•
Previous experience in a startup or fast-paced environment is a plus.
Nice to have:
•
Affiliate & Partnerships Industry Fundamentals Certification by PXA
Benefits:
•
Unlimited 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
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Training & Development
•
Learning the advanced partnership automation products
•
Medical Aid and Provident Fund
•
Group schemes with Discovery & Bonitas for medical aid
•
Group scheme with Momentum for provident fund
•
Stock Options
•
3-year vesting schedule pending Board approval
•
Internet Allowance
•
Flexible work hours
•
Casual work environment
•
Technology stipend
Legal
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.