Software Engineer, Data Infrastructure & Acquisition - Dallas, USA
Company: Speechify
Location: Dallas
Posted on: February 15, 2026
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Job Description:
Job Description Job Description The mission of Speechify is to
make sure that reading is never a barrier to learning. Over 50
million people use Speechify's text-to-speech products to turn
whatever they're reading – PDFs, books, Google Docs, news articles,
websites – into audio, so they can read faster, read more, and
remember more. Speechify's text-to-speech reading products include
its iOS app, Android App, Mac App, Chrome Extension, and Web App.
Google recently named Speechify the Chrome Extension of the Year
and Apple named Speechify its 2025 Design Award winner for
Inclusivity. Today, nearly 200 people around the globe work on
Speechify in a 100% distributed setting – Speechify has no office.
These include frontend and backend engineers, AI research
scientists, and others from Amazon, Microsoft, and Google, leading
PhD programs like Stanford, high growth startups like Stripe,
Vercel, Bolt, and many founders of their own companies. Overview
We're looking to hire for our Data side of our AI team at
Speechify. This role is responsible for all aspects of data
collection to support our model training operations. We are able to
build high-quality datasets at petabyte-scale and low cost through
a tight integration of infrastructure, engineering, and research
work. We are looking for a skilled Software Engineer to join us.
What You'll Do Be scrappy to find new sources of audio data and
bring it into our ingestion pipeline Operate and extend the cloud
infrastructure for our ingestion pipeline, currently running on GCP
and managed with Terraform. Collaborate closely with our Scientists
to shift the cost/throughput/quality frontier, delivering richer
data at bigger scale and lower cost to power our next-generation
models. Collaborate with others on the AI Team and Speechify
Leadership to craft the AI Team's dataset roadmap to power
Speechify's next-generation consumer and enterprise products. An
Ideal Candidate Should Have BS/MS/PhD in Computer Science or a
related field. 5 years of industry experience in software
development. Proficiency with bash/Python scripting in Linux
environments Proficiency in Docker and Infrastructure-as-Code
concepts and professional experience with at least one major Cloud
Provider (we use GCP) Experience with web crawlers, large-scale
data processing workflows is a plus Ability to handle multiple
tasks and adapt to changing priorities. Strong communication
skills, both written and verbal. What we offer A fast-growing
environment where you can help shape the company and product. An
entrepreneurial-minded team that supports risk, intuition, and
hustle. A hands-off management approach so you can focus and do
your best work. An opportunity to make a big impact in a
transformative industry. Competitive salaries, a friendly and
laid-back atmosphere, and a commitment to building a great
asynchronous culture. Opportunity to work on a life-changing
product that millions of people use. Build products that directly
impact and support people with learning differences like dyslexia,
ADD, low vision, concussions, autism, and more. Work in one of the
fastest-growing sectors of tech, the intersection of artificial
intelligence and audio. Compensation: The United States base salary
range for this full-time position is $140,000-$200,000 bonus equity
depending on experience Think you're a good fit for this job? Tell
us more about yourself and why you're interested in the role when
you apply. And don't forget to include links to your portfolio and
LinkedIn. Not looking but know someone who would make a great fit?
Refer them! Speechify is committed to a diverse and inclusive
workplace. Speechify does not discriminate on the basis of race,
national origin, gender, gender identity, sexual orientation,
protected veteran status, disability, age, or other legally
protected status.
Keywords: Speechify, Frisco , Software Engineer, Data Infrastructure & Acquisition - Dallas, USA, IT / Software / Systems , Dallas, Texas