SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 140,000 - 200,000 / annual
Speechify is a rapidly growing text-to-speech platform used by over 50 million people globally to convert PDFs, books, Google Docs, news articles, and websites into audio. The company has been recognized by Google as Chrome Extension of the Year and by Apple with a 2025 Design Award for Inclusivity. With ~200 employees distributed globally and no physical offices, Speechify operates a fully remote, asynchronous culture.
This role sits within Speechify's AI team on the data infrastructure side, responsible for all aspects of data collection and pipeline management to support model training operations. The team builds high-quality datasets at petabyte scale while optimizing for cost efficiency through tight integration of infrastructure, engineering, and research.
Key responsibilities include: sourcing new audio data and integrating it into the ingestion pipeline; operating and extending cloud infrastructure (GCP, Terraform-managed) for data ingestion; collaborating with research scientists to optimize the cost/throughput/quality frontier; and working with AI leadership to define the dataset roadmap for next-generation consumer and enterprise products.
The ideal candidate holds a BS/MS/PhD in Computer Science or related field with 5+ years of industry software development experience. Required skills include bash/Python scripting in Linux environments, Docker proficiency, Infrastructure-as-Code concepts, and hands-on experience with at least one major cloud provider (GCP preferred). Experience with web crawlers and large-scale data processing workflows is a plus. The role demands adaptability, strong communication, and comfort operating in a fast-moving, entrepreneurial environment.
Compensation includes competitive base salary, bonus, and equity. The company emphasizes a hands-off management approach, entrepreneurial mindset, and commitment to building products that directly impact people with learning differences including dyslexia, ADD, low vision, and autism.