Account Manager - Speech & AI Technologies
S
SideSpeech & AI
United KingdomFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- Account ManagementNLP
Requirements
- 5+ years of experience within speech technology, AI/ML services, data annotation, data collection, or language technologies.
- Experience working with large technology platforms or enterprise AI customers.
- Technical fluency in deep learning-based TTS and ASR systems, voice technologies, NLP fundamentals, and model training pipelines.
- Strong understanding of annotation workflows, dataset management, and model evaluation concepts.
- Comfort engaging directly with engineering, ML, and product stakeholders.
- Strong communication skills with the ability to bridge technical and operational teams.
- Commercial awareness and structured account management discipline within enterprise environments.
Responsibilities
- Serve as the primary relationship lead for a major enterprise technology partner within the speech and AI domain.
- Engage directly with client stakeholders across Product, Engineering, ML, Data Science, and Speech teams.
- Translate complex technical requirements into clear internal delivery plans and execution roadmaps.
- Ensure alignment between client expectations and operational capabilities across data, engineering, and production teams.
- Demonstrate domain fluency across TTS, ASR, transcription workflows, data collection, annotation, and model training support.
- Contribute technical insight during solution design discussions, including conversations around model accuracy, constraints, scaling, and evaluation methodologies.
- Protect and stabilize existing revenue streams while supporting responsible expansion aligned with the client’s technical roadmap.
- Participate in RFP/RFI responses and commercial discussions with awareness of scope, margin, and delivery risk.
- Partner closely with delivery, data operations, engineering, and product teams to ensure seamless transition from scoping to execution.
- Identify risks early, escalate appropriately, and maintain transparency across stakeholders.
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