Linguistic Engineering Manager

Linguistic Engineering is an interdisciplinary field that converges linguistics and technology to design and optimize systems that process natural language and multimodal input. As a Linguistic Engineering Manager, you will lead a team of linguistic engineers in designing and developing datasets, models, and representations across languages, knowledge, and evaluation systems that drive our AI multimodal assistant. You will communicate a clear vision, mission, and strategy for your team, aligned with organizational objectives and key business outcomes.In collaboration with cross-functional teams, you will drive the development of innovative solutions, leveraging experience in dataset creation/collection, evaluation methodologies, and model enhancements to advance AI products, including Large Language Models. A key aspect of this role is leadership and talent development, fostering an environment of collaboration and guiding team members to success.

• Develop and execute a comprehensive Linguistic Engineering roadmap, aligning with organizational AI objectives and deliverables.
• Strategically plan and implement technical initiatives to advance AI voice assistants programs.
• Drive projects from conceptualization through launch and beyond with continual improvement and support.
• Drive advancements in conversational AI systems across the full AI-Assistant stack.
• Oversee project timelines, resource allocation, and team staffing to ensure timely and successful delivery of projects.
• Clearly communicate with project stakeholders and collaborate seamlessly with cross-functional teams.
• Communicate complex technical information, changes, risks, and results with utmost clarity to executive leadership, stakeholders, and partners.
• Provide expert technical and scientific guidance to team members and partners, promoting best practices and knowledge sharing.
• Mentor and nurture the growth of linguists and managers to amplify their contributions.
• Foster a diverse and inclusive environment, promoting an environment of mutual respect, continuous learning, and growth.

• 6+ years of work experience as data scientist, software engineer, computational linguist or in similar role.
• 3+ years of experience directly managing a team of data scientists, software engineers, or computational linguists or similar.
• Experience with programming and data analysis with languages and platforms such as Python, Jupyter, and SQL.
• Experience in shipping and evaluating AI/ML-based products.
• Experience with text analysis, scripting, relational database, No SQL databases or similar.
• Experience recruiting and managing technical teams, including performance management.
• Demonstrated experience collaborating with other internal and external teams.
• Experience shipping multiple products across various platforms.

• 8+ years of work experience as data scientist/software engineer/computational linguist, with experience in conversational AI, conducting scaled experiments and evaluations tied to product/user experience improvements.
• 5+ years of experience directly managing a technical team.
• 5+ years of relevant industry experience managing technical teams as part of a consumer-facing application.
• Demonstrated understanding of the relationship between data and large language models.
• Experience with larger scripting projects that involve combining language data from different sources, computing complex metrics over large datasets, etc.
• Experience designing and conducting data experiments.
• Familiarity with version control, unit tests, and other programming best practices.
• Proficiency in additional languages.
• Master's or PhD with a specialization in Computational Linguistics, AI, speech programs, natural language processing, or machine learning, or related fields.