WellSaid Labs

WellSaid Labs

HQ
Seattle, WA
60 Total Employees
Year Founded: 2018

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Jobs at WellSaid Labs

Search the 4 jobs at WellSaid Labs

Recently posted jobs

4 Days Ago
Seattle, WA
Remote
Artificial Intelligence
As the Office & Operations Manager at WellSaid Labs, you will manage office operations, support the CEO in leadership operations, maintain company culture, handle scheduling, collaborate on ad hoc projects, and provide a positive office experience. This is a hybrid role with a presence required at the Kirkland office for 3+ days/week. Responsibilities include inventory management, team building, maintaining company Wiki and Google Drive, managing calendars, and more. The role involves coordinating leadership team meetings, assisting with pitch decks and board presentations, and serving as a point of contact for the Board of Directors.
12 Days Ago
US
Remote
Artificial Intelligence
As an Engineering Lead at WellSaid Labs, you will be responsible for leading the development of the creative studio powered by AI algorithm for lifelike voice overs. You will collaborate with product and engineering teams to execute the product roadmap, mentor team members, and enhance the Studio application. Your tasks include building user interfaces, developing new features, improving user experience, and leading technical decisions.
13 Days Ago
Seattle, WA
Remote
Artificial Intelligence
As the SVP of Finance/CFO at WellSaid Labs, you will drive financial strategy, ensure fiscal discipline, and support growth trajectory. Responsibilities include strategic planning, financial analysis, budgeting, forecasting, financial reporting, cash flow management, and team leadership.
Artificial Intelligence
As a Staff Research Engineer on the ML Platform Team at WellSaid Labs, you will work on elevating the machine learning platform, extending text-to-speech models, optimizing training pipelines, adding new features, and building automated services. The role involves staying updated on speech AI advances, researching new techniques for model improvement, scaling platforms, and addressing AI ethics.