Account Manager – Speech & AI Technologies

Remote from: UK
Annual salary: Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department: Business Development
Employment type: Full Time,
Job posted: 8 Jun 2026
Apply before: 8 Jul 2026
Experience level: Senior
Views / Applies: 20 / 1

About company

About Side

The #1 Real Estate Brokerage Platform for Top Agents empowering agent-ownership, growth, and productivity.

Real Estate
2017

Actively Hiring

AI Summary

This Account Manager role at Side, a global video game development and services provider, focuses on managing high-profile client relationships within the speech and AI technology ecosystem. The position bridges technical teams and internal delivery, requiring fluency in TTS, ASR, and AI/ML pipelines. Candidates need 5+ years of experience in speech technology or AI services, with strong communication and commercial awareness. The role offers flexible working, private healthcare, and professional development opportunities. Estimated median salary based on US market is $120,000.

Role DNA

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight The role requires deep technical understanding of speech and AI technologies combined with account management skills, making it challenging but manageable for experienced professionals.

Salary Analysis

AI Insight The offered salary is not specified, but based on the specialized nature of speech and AI technologies, the median market salary is estimated at $120,000. This is competitive for a role requiring both technical fluency and client management.

Key Skills

Account Management Speech Technology AI/ML TTS/ASR Data Annotation Client Relationship Technical Sales Project Management Communication Enterprise Solutions

Cover Letter Sample

I am writing to express my interest in the Account Manager position for Speech & AI Technologies at Side. With over five years of experience bridging technical teams and enterprise clients in the AI/ML space, I bring a strong foundation in TTS, ASR, and data annotation workflows.

In my previous role, I served as the primary relationship lead for a major AI platform, translating complex technical requirements into actionable delivery plans. I have successfully managed cross-functional teams to ensure alignment between client expectations and operational capabilities.

My technical fluency allows me to engage confidently with engineering and data science stakeholders, while my commercial awareness ensures responsible revenue growth. I am adept at identifying risks early and maintaining transparency across all parties.

I am excited about the opportunity to contribute to Side's global impact in video game development and AI services. Thank you for considering my application. I look forward to discussing how my experience aligns with your team's needs.

Possible Interview Questions

Can you describe your experience with TTS and ASR systems, and how you have used that knowledge to manage client relationships?

I have worked extensively with deep learning-based TTS and ASR systems, including model training pipelines and evaluation methodologies. In my previous role, I translated client's technical requirements for voice data collection and annotation into clear internal plans, ensuring alignment between their model accuracy needs and our delivery capabilities.

How do you handle conflicts between client expectations and operational capabilities?

I first seek to understand the client's core needs and constraints, then communicate transparently with our internal teams about potential challenges. I facilitate collaborative discussions to find compromises or alternative solutions, often by adjusting timelines or scoping. Maintaining trust through honest and proactive communication is key.

Describe a time when you successfully expanded a client relationship while maintaining profitability. What was your approach?

I identified an opportunity to upsell data annotation services to an existing AI client by demonstrating how additional high-quality datasets could improve their model accuracy. I worked with our delivery team to create a scalable solution that fit within their budget, resulting in a 20% revenue increase with healthy margins.

How do you stay current with advancements in speech and AI technologies, and how do you apply that knowledge in your role?

I regularly attend industry conferences, read research papers, and participate in online forums. I apply this knowledge by proactively suggesting improvements to client workflows, such as implementing new annotation tools or evaluation metrics, which helps strengthen our partnership and ensures we offer cutting-edge solutions.

Walk me through how you would manage the transition from project scoping to execution for a new AI data collection project. What steps do you take to ensure seamless handoff?

First, I hold a kickoff meeting with both client and internal teams to clarify requirements, timelines, and success criteria. I create a detailed project charter and establish regular check-ins. I also implement a shared tracking system for milestones and risks. Finally, I assign a dedicated point of contact on the delivery side and ensure documentation is comprehensive.

About Side

Side is a global video game development and services provider, offering technical and creative solutions to many of the largest developers and studios around the world. Founded in 2009 and drawing on 30+ years’ experience from our parent company in Japan, Side has since grown to become a global force with 15+ studios in over a dozen countries across North America, Europe, South America, and Asia.

Our industry-leading services include game development, art production, audio production, quality assurance, localization, localization QA, player support, community management, and datasets. We’re seeking an Account Manager who will lead high-profile relationships within the speech and AI ecosystem. This role combines technical fluency, partnership management, legal and commercial awareness. The successful candidate will act as a trusted interface between client technical teams and internal delivery teams, ensuring alignment, solution clarity, and long-term partnership stability.

This is not a pure sales role. It requires strong technical credibility and a customer-first mindset.

What You’ll Do

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.

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.

Benefits