Data Scientist

Clari + Salesloft are building the next era of enterprise revenue — one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we’re building the industry’s first Predictive Revenue System, enabling humans and AI to work together to make smarter decisions and drive consistent growth.

• Apply your expertise in agentic systems, NLP, and machine learning to build solutions that enhance the productivity and effectiveness of sales professionals.
• Design and run robust experiments, translating ambiguous problems into concrete research questions and prototypes.
• Collaborate closely with product, design, and engineering teams to ensure your research paves a clear path to production and delivers value to our users.
• Act as a thought leader and subject matter expert, identifying new opportunities for innovation and influencing the direction of our AI roadmap.

• 5+ years of overall experience as an AI Researcher, Data Scientist, or ML Engineer.
• 1+ years of experience with deploying ML/AI features in production.
• Demonstrated experience owning and leading research projects, from initial scoping and experimental design to delivering prototypes or production-ready models.
• Deep expertise in AI agent systems, Natural Language Processing (NLP), and classic machine learning methodologies.
• Proven ability to mentor and provide constructive feedback to junior researchers, elevating the work of the entire team.
• Experience translating complex research findings into actionable insights for cross-functional partners in product and engineering.
• Superb communication skills; you must be able to articulate complex technical concepts and advocate for strategic research directions.
• Familiarity with Python for data processing, ML, AI agents.
• Familiarity with frameworks for agentic AI (LangGraph, Google ADK, Open AI Agents SDK etc).

• At Clari + Salesloft, we are committed to creating an inclusive and supportive workplace where everyone belongs and can thrive. We focus on culture add, not culture fit, and believe our teams are made stronger by the unique perspectives, experiences, and identities each person brings.
• We are proud to be an Equal Opportunity Employer and provide employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, pregnancy, or any other characteristic protected by law.
• If you’re excited about this role even though your experience may not perfectly match every requirement, we encourage you to apply.