Viva Insights leads organizations through their AI transformation journey by measuring how people and organizations work with state-of-the-art AI technologies and realizing the impact of AI integration into their work processes.
Requirements
- Experienced developing and deploying working prototypes to gather early feedback.
- Ability to integrate prototype code into production code.
- Experienced building consumer and/or enterprise grade AI solutions (ex: M365 Copilot).
- Experienced in Foundational models (fine tuning LLMs/SLMs), Agentic Systems, NLP, Causal Inference, Behavioral analytics and experimentation, Organizational Network Analysis.
- Experienced in incubation and experimentation, with a focus on leveraging behavioral collaboration data to solve strategic business problems.
- A record of publication in top-tier scientific venues (ongoing or in the recent past) (e.g., NeurIPS, ICML, ICLR, ACL, NAACL, EMNLP, KDD, WWW, CHI, PNAS, Nature).
- Experience applying research with leveraging large-scale application of new ideas over theory and prototypes.
Responsibilities
- Conduct and source research needed to back Viva Insights product directions with science and uncover innovative ideas for product growth.
- Lead initiatives that drive product innovation, customer impact, and scientific credibility in the organizational productivity space.
- Shape product direction by integrating rigorous scientific methods into the product lifecycle.
- Use applied science and data analysis to identify opportunities for innovation and guide investment decisions.
- Lead initiatives that leverage AI and agentic technologies to empower employees and organizations.
- Apply advanced behavioral analytics, ML/AI techniques and experimentation to understand and solve strategic business problems.
- Develop and evaluate prototypes with target users and integrate into product.
Other
- This role is located on-site at the Redmond campus, and supports up to 50% work from home and minimum 50% work in the office.
- Experience with working with customers directly to understand their problems and exploring solutions within the context of the product.
- Self-driven and show the ability to deliver on ambiguous projects with incomplete data.
- Problem-solving skills and ability to join qualitative and quantitative thinking with an obsession for improving our customer experience.
- Communications & interpersonal skills. Ability to communicate complex analysis & insights to senior leaders and business decision makers, as well as practitioners and academic researchers.
