The Senior Product Manager will drive product strategy and execution for Voice AI solutions, engaging with customers and teams to develop impactful products and roadmaps.

The Senior Product Manager will drive the growth of Voice AI products, set product strategy, collaborate with teams, and promote product value.

As a Forward Deployed Engineer, you will develop prototypes, integrate APIs, and collaborate with customers to implement Voice AI solutions, showcasing innovation through demos and custom deployments.

The Developer Relations Manager will engage with the developer community, provide technical support, create content, and advocate for developer needs.

As a Developer Relations Manager, you will engage the developer community, provide technical support, create content, and advocate for their needs while collaborating across teams.

Lead R&D initiatives as a Principal Machine Learning Engineer, driving innovation in speech technology and mentoring engineers to excel in their roles.

The Senior Machine Learning Engineer will work on R&D in speech technology, focusing on model training, deployment, and collaboration across engineering teams.

Lead and mentor engineers in ambitious R&D projects, driving advancements in speech technology and improving machine learning practices at Speechmatics.

The Senior Machine Learning Engineer will work on innovative R&D projects, collaborate across teams, and mentor others while focusing on advanced speech technology.

Manage a diverse book of business while driving product usage and leading renewals and account growth. Build relationships and champion customer needs across teams.

The Customer Success Manager role involves managing a diverse customer base, driving product adoption, renewal, and account growth. The manager collaborates with cross-functional teams to ensure customer value and satisfaction while acting as the voice of the customer.

Drive new business and close opportunities using advanced speech technology in a fast-paced sales environment with enterprise clients.

Drive new business and manage high-value sales opportunities; collaborate with marketing for campaigns and engage with enterprise customers.

This internship involves training ML models, developing production pipelines, and working on data processing challenges within a collaborative team.

The Machine Learning Internship at Speechmatics involves training neural networks, developing ML pipelines, and working on innovative projects in speech technology, focusing on large-scale data and self-supervised learning.

The role involves advancing ASR engines, developing AI features, scaling models across GPUs, and researching new TTS techniques in a collaborative environment.

As a Machine Learning Engineer at Speechmatics, you'll advance ASR engines, scale models, and develop innovative AI features for voice interfaces.