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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining technical strategies for AI-powered content systems, with a strong foundation in computational linguistics and natural language processing. Proven ability to lead complex technical initiatives and mentor engineering teams while balancing strategic vision with execution.
Highest-signal resume keywords
AI/ML Systems DesignComputational LinguisticsLarge-Scale Distributed SystemsTechnical Strategy InfluenceStakeholder Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Natural Language ProcessingAI EvaluationGovernanceObservabilitySecurityPrivacyOperational Risk ManagementArchitectural PrinciplesEngineering StandardsTechnical Roadmaps
Soft Skills
Exceptional CommunicationMentoringInfluencingBalancing Vision with ExecutionStakeholder Management
Industry Keywords
Technical StrategyAI-Powered Content SystemsTechnical InitiativesEngineering LeadershipPrincipal Engineer Level
Tech Stack
Tools & technologiesDistributed Systems
About the role
Key responsibilities & impact- Define and drive the long-term technical strategy for AI-powered content systems.
- Shape architectural direction across multiple teams and domains.
- Lead the design of robust frameworks for AI evaluation and quality measurement.
- Partner closely with senior leaders to translate strategic priorities into technical roadmaps.
- Identify organisation-wide technical risks, dependencies, and opportunities early.
- Establish engineering standards and architectural principles.
- Mentor and support Principal and Senior Engineers.
- Lead and contribute to complex technical initiatives.
- Provide hands-on technical leadership to delivery teams.
Requirements
What you’ll need- Strong foundation in computational linguistics, natural language processing, or applied linguistics.
- Proven success operating at Senior Principal Engineer level within a technology organisation.
- Demonstrated ability to influence technical strategy across multiple teams, products, or business domains.
- Deep experience designing and operating large-scale distributed systems and platform architectures.
- Hands-on experience designing, building, and shipping AI/ML systems into production at scale.
- Strong understanding of AI evaluation, governance, observability, security, privacy, and operational risk management.
- Track record of leading organisation-wide technical initiatives from strategy through execution.
- Experience partnering with senior leadership to shape technical roadmaps, investment decisions, and long-term technology strategy.
- Exceptional communication and stakeholder management skills.
- Ability to balance long-term technical vision with pragmatic execution in fast-moving and ambiguous environments.
- Proven experience technically leading groups of engineers through execution.
Benefits
Comp & perks- Your Learning Journey in This Role
- Define and drive the long-term technical strategy for AI-powered content systems, ensuring alignment with Babbel Labs' business objectives and product vision.
- Shape architectural direction across multiple teams and domains, making key decisions on platforms, tooling, AI infrastructure, and build-versus-buy approaches that will influence how AI capabilities are developed and scaled.
- Lead the design of robust frameworks for AI evaluation, quality measurement, governance, observability, security, and operational reliability, enabling the responsible adoption of AI across the organisation.
- Partner closely with senior leaders across Engineering, Product, Content, and Data to translate strategic priorities into executable technical roadmaps and investment decisions.
- Identify organisation-wide technical risks, dependencies, and opportunities early, helping teams navigate ambiguity and make effective long-term decisions.
- Establish engineering standards, architectural principles, and operating practices that enable multiple teams to move faster while maintaining quality, security, and reliability.
- Mentor and support Principal and Senior Engineers, raising the overall technical capability of the organisation through coaching, design reviews, and technical leadership.
- Lead and contribute to the most complex technical initiatives, remaining close enough to the technology to guide critical architectural decisions and unblock challenging technical problems when needed.
- Provide hands-on technical leadership to delivery teams by translating strategic requirements into clear technical direction, supporting work decomposition, guiding implementation, and unblocking complex delivery challenges.
