VP, Data Science and AI Engineering

Summary

Join 6sense as VP, Data Science & AI Engineering and lead the development and execution of the company's AI strategy. You will own the end-to-end AI/ML strategy, from model development to deployment at scale. Partner with cross-functional teams to drive adoption and innovation. Lead teams in data science, ML engineering, and ML/Ops to achieve business impact. Act as a thought leader and evangelist for AI, both internally and externally. Build and mentor high-performing teams, attracting top technical talent.

Requirements

• 15+ years of experience in data science, machine learning, or applied AI roles, with at least 5+ years in senior leadership, including experience managing senior leaders and multi-disciplinary teams
• Proven success leading AI product development—including generative AI (LLMs, retrieval-augmented generation, prompt engineering) and natural language processing (NER, classification, summarization, embeddings)
• Strong experience deploying ML systems in production, including recommender systems, LLMs, and agentic systems
• Deep expertise in applied machine learning and statistical modeling in production environments, including recommender systems, time series prediction, and personalization
• Track record of building AI-native or AI-led products that drive customer and business value
• Strong business acumen with the ability to prioritize and balance long-term vision with near-term impact- while aligning senior stakeholders to drive action and sustainable results
• Technical knowledge in modern ML toolkits, MLOps platforms, and cloud-based data architectures (e.g., AWS, Databricks, Kubernetes, etc.)
• Exceptional executive communication skills and the ability to influence across product, engineering, and C-level stakeholders
• Strong leadership skills with a track record of attracting top technical talent and developing high-performing teams

Responsibilities

• Own and define the long-term AI and data science vision and strategy that advances 6sense’s mission of transforming B2B sales and marketing through predictive and generative intelligence
• Articulate the role of AI in the business at the executive level, and translate complex science into clear product and business strategy
• Act as a thought leader and evangelist for AI across the business – from applied use cases to ethical and responsible AI practices
• Manage a diverse portfolio of AI initiatives, balancing short-term impact with long-term investments across generative AI, predictive modeling, and platform capabilities
• Lead the conceptualization, development, and deployment of scalable AI products, with a strong emphasis on generative AI (GNI), NLP, agentic workflow, and customer-facing intelligence – from problem definition to deployment
• Ensure research efforts translate into features, models and systems with measurable ROI
• Define and track success metrics for data science and machine learning products and platforms
• Lead the development of scalable and secure ML/Ops pipelines that support continuous training, deployment, and monitoring of models in production
• Partner deeply with Product, Engineering, and GTM teams to embed AI into the core product experience, translate customer needs into data driven solutions, and ensure measurable customer and business value
• Recruit, mentor, and retain top-tier talent across data science and ML engineering, creating a culture of ownership, rigor, experimentation and delivery
• Partner closely with product, engineering, and GTM to embed AI deeply into the customer journey
• Act as a visible champion for AI at 6sense-internally and externally-through thought leadership, speaking engagements, and strategic collaborations
• Represent the company in industry forums, conferences, and publicatins to showcase 6sense’s AI capabilities and attract top talent
• Foster applied research efforts that result in whitepapers, patents, and proprietary methodologies that differentiate 6sense’s AI capabilities in the market
• Build external partnerships to stay at the cutting edge of AI advancements and drive strategic advantage

Preferred Qualifications

Prior experience working in B2B SaaS and/or Martech is strongly preferred

Benefits

• Generous health insurance coverage
• Life, and disability insurance
• A 401K employer matching program
• Paid holidays
• Self-care days
• Paid time off (PTO)
• Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options
• Access to our LinkedIn Learning platform