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At Seismic, we believe that AI, particularly Generative AI, will empower and transform how go-to-market and enablement teams operate and interact with customers. Seismic Aura, our AI engine, is powering this change and is being infused across the Seismic enablement cloud. Our focus is to leverage AI to make sellers and enablers more productive and efficient in their day-to-day tasks, and to drive more successful sales outcomes. AI is one of the fastest growing product areas in Seismic. We have announced and are launching our Aura Copilot AI assistant suite. In addition, AI is an integral part of our Seismic Meetings conversational & engagement intelligence suite. As a Data Scientist II, you will help design, build, and ship AI-powered product features, with a focus on agent-based and LLM-driven experiences. You will work closely with product managers, engineers, and other data scientists to develop end-to-end AI solutions that are reliable, scalable, and deliver real customer value. This is a hands-on role for someone who enjoys working across data science and product engineering, and who wants to grow their skills building production AI systems.
Job Responsibility:
Contribute to the development of AI-powered product features, from prototyping and experimentation through production delivery, deployment and iteration
Build and improve AI/machine learning, especially LLM-based systems (e.g., copilots, conversational workflows, or agent-style experiences) using established frameworks and internal platforms
Work with product and design teams to understand user needs and translate them into practical AI-driven solutions
Partner with engineers, designers, and other data scientists to build, test, and refine AI features, balancing model performance, system reliability, and user experience
Help define and analyze metrics to evaluate model performance, product usage, and customer impact, and use data to guide improvements
Requirements:
Bachelor’s, Master’s, or higher degree in Computer Science, Engineering, or related fields
2–4 years of industry experience in data science, machine learning, or applied AI (or 1–2 years with an advanced degree), with experience contributing to production systems or product features
Strong knowledge of Python is a must
Ideally comfortable with LangChain, pandas and other GenAI related python libraries
Strong hands-on skills in AI & ML service development, end-to-end product engineering, and data analytics
Experience with GenAI and cloud technologies
Ability to translate business and customer problems into technical solutions, and to iterate based on user feedback and data
Exceptional communication skills, with the ability to collaborate with cross-functional teams
Strong problem-solving and decision-making abilities, with a strategic mindset and a passion for driving product vision and business outcomes through technology
Experience thriving in dynamic, fast-paced environments, preferably within SaaS or technology-driven companies focused on customer and product innovation