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 as a 2025 Design Award winner for Inclusivity. With nearly 200 employees distributed globally and no physical office, Speechify combines talent from major tech companies (Amazon, Microsoft, Google), leading research institutions (Stanford), and successful startups (Stripe, Vercel, Bolt).
This role joins Speechify's AI team on the data infrastructure side, responsible for all aspects of data collection to support model training operations. The team builds high-quality datasets at petabyte-scale and low cost through tight integration of infrastructure, engineering, and research.
Key responsibilities include: sourcing new audio data and integrating it into ingestion pipelines; operating and extending cloud infrastructure for data ingestion on GCP using Terraform; collaborating with research scientists to optimize the cost/throughput/quality frontier; and working with AI leadership to develop the dataset roadmap for next-generation consumer and enterprise products.
Ideal candidates have 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 requires strong communication skills, adaptability, and the ability to manage multiple priorities in a fast-moving environment.
Speechify offers competitive compensation, equity, and a hands-off management approach in an entrepreneurial, asynchronous culture. The work directly impacts millions of users, including people with learning differences like dyslexia, ADD, low vision, and autism.
