Do you want to help design new ways of processing Enterprise scale data at speed, learn leading edge technologies, work on complex big-data algorithms, shape processes into a growing engineering organisation, all while helping to scale a Series D rocket ship to the next level?
Then welcome to Enable 🚀
What is Enable:
Enable is the SaaS rebate management platform that drives trusted relationships between B2B trading partners. We create money for our customers by providing them with the technology solutions to automatically detect and report on rebate due. Customers configure their deals, Enable ingests and process all their sales transactions, allowing them to find rebates they are owed that they would otherwise have missed.
All this has major challenges, we process enormous amounts of data in very short time frames, performing billions of calculations per customer and storing it all in Enterprise scale databases. We provide customers with reporting, deal editing and collaboration capabilities. There are no standard techniques for doing this, we are the market leader, and we create new solutions every day.
We launched our flagship product in 2016 and have raised $276m to date in Series A, B, C & D funding. We are continually growing our client base, product portfolio and hyper-talented team.
We’re seeking an experienced Senior Data scientist to drive the creation of AI and ML products and tools within a prominent SAAS tech company. This pivotal applied AI product role will work to strategically integrate AI solutions across products and business operations. ML has allowed for vastly improved data insights and solutions, while the use of LLM’s have radicalised the need for leveragingAI tools in solving some fundamental problems of our industry. We are looking for a senior scientist to work with our product and engineering teams to bring these to life.
Role and Responsibilities:
- Craft and execute a robust AI strategy aligned with business goals.
- Implement AI innovations across various products and services.
- Collaborate with Engineering leadership to integrate AI seamlessly into existing offerings.
- Liaise with stakeholders to align AI initiatives with company objectives and communicate outcomes effectively.
- Ensure ethical AI applications in compliance with legal and industry standards.
- Advise on AI implementation strategies to senior leadership.
- Work with Product Management and Engineering leadership to produce a rolling roadmap for the production of AI and ML tools and products
- Work with data engineering to create a world class data platform build to unlock the power of AI
Experience and Qualifications:
- Advanced degree in computer science, engineering, or related field.
- Minimum 8 years of AI/ML experience
- Proven track record in building and releasing AI/ML commercial products and services
- Proficiency in Python, R, and Java, along with AI/ML algorithms and data modelling.
- Strong problem-solving, analytical, and project management skills.
- Excellent communication and cross-functional collaboration abilities.
- Demonstrable AI projects showcasing innovation and business impact.
Enable Global Inc provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. Enable complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Enable expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability or veteran status. Improper interference with the ability of Enable employees to perform their expected job duties is absolutely not tolerated.
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