
1 - 10 employees
Founded 2019
🛍️ eCommerce
🏪 Marketplace
🛒 Retail
eCommerce • Marketplace • Retail
Side is
🕒 June 8
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
💰 Account Manager
🇬🇧 UK Skilled Worker Visa Sponsor
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1 - 10 employees
Founded 2019
🛍️ eCommerce
🏪 Marketplace
🛒 Retail
eCommerce • Marketplace • Retail
Side is
• 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. • Build long-term trust through responsiveness, clarity, and professionalism in complex enterprise environments.
• 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.
• Competitive base salary • Flexible working arrangements • annual leave plus public holidays • Private healthcare options • Life assurance and income protection coverage • Professional development support and learning opportunities • International exposure across global teams and clients • A collaborative, people-first culture within a growing global organization
Apply Now🕒 June 8
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