Company Description

Introducing the future of B2B attribution: RevSure, the ONLY enterprise-grade Full Funnel attribution AI solution for complex GTM motions.

RevSure is a go-to platform for marketing trailblazers with bold pipeline and ROI goals, offering killer insights, spot-on predictions, and actionable recommendations. The platform empowers modern demand generation teams to 3X their pipeline and confidently prove marketing ROI. Unlike legacy attribution solutions, RevSure combines full-funnel attribution with predictive intelligence and active recommendations, providing high-growth marketing teams the information they need to be more effective at every stage of the lead journey.

Role Description

The AI/ML and Data Science team at RevSure builds robust, scalable Predictive AI models to improve pipeline generation for B2B companies by providing AI-driven insights, predictions and recommendations.

You will work closely with the Product, Data, ML Engineering, and Customer Success teams to ensure successful product development and customer deployments.

Qualifications

- 4+ years of experience in advanced AI/ML and Data Science models for business applications related to Sales, Marketing, Customer and Operations

- Experience with developing and fine-tuning Generative AI models

- Worked with data from CRM, Marketing Automation, Campaign management systems

- Deep understanding of Machine Learning techniques such as XGBoost, SVMs, Random Forests, Markov Models, Bayesian, etc. in Python, Scikit-learn, PySpark, TensorFlow, etc.

- Experience applying ML to both Classification and Regression problems

- Understanding of how data extraction, ingestion, transformation, and pipelines are built and managed by data engineering teams

- Deep Learning experience is preferred

- Practitioner of scalable, modularized, and parameterized ML programming practices

- A stickler for robust Data Science practices (Validation methodologies, Explainable AI, etc.)

- Experience prototyping, building, and scaling models in production in cloud environments (AWS, GCP, Azure)

- Ability to research new methods, prototype, and implement them at scale.

- Experience with Sales Intelligence/ Marketing Intelligence/Revenue Intelligence solutions/companies is a plus

- Understanding and appreciation for software engineering technologies for ML Ops and Data Ops (Airflow, Kubernetes deployments, etc.)

Roles and Responsibilities

- Build, deploy and maintain Machine Learning and Gen. AI models for various use cases.

- Work with the Product leadership and Product teams to ensure successful product deployment.

- Work closely with the Customer Success teams to deliver successful new customer onboarding

- Ensure that RevSure product remains on the leading edge of AI driven insights, prediction and recommendations.

- Create and maintain a Project Plan in coordination with Engineering and Product Leads, and deliver upon the same on time and as per expectations.

- Motivate and guide the team members on their learning paths to improve their craft.