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.

At Armis, our Sales Engineers (SE) serve as the linchpin of every prospect engagement. Working closely with our prospects to demonstrate the value of the Armis agentless platform via console demonstrations, proof-of-value deployments, and targeted training sessions.

What you'll do...

Work closely with our prospects to:

• Provide virtual and in-person technical demonstrations
• Deploy proof-of-value installations
• Lead technical training sessions based on POV findings
• Support marketing activities, conferences, speaking engagements
• Consistently and cogently address our prospects needs through astute verbal and written communication skills
• Thrive in a team-oriented culture through delivering a significant individual contribution while collaborating with and strengthening teammates
• Think critically, spanning the sales process through customer support, troubleshooting, and developing new use cases for internal and external consumption.
• Develop prospect facing documentation
• Expected to travel up to 40% of the time on average (can vary by region)

Education:

• BS degrees in computer science, MIS, or equivalent experience required

Experience:

• 5+ years experience in technical positions required (SE, Pre-Sales Engineer, Solutions Architect) ideally for a Cyber Security vendor
• 5+ years of experience in customer-facing or customer support positions
• Solid understanding of networking concepts and technologies
• A demonstrated track record of taking ownership of complex initiatives and producing successful outcomes
• Experience closing complex cyber security SaaS solutions with Enterprise Customers and supporting Sales AE's / RSM's.

Knowledge in one or more of the following:

• IoT, OT, IoMT
• Wireless technologies (WLCs, Meraki, Aruba, etc.)
• Linux Operating Systems
• Virtualized environments
• Network knowledge
• Utility Scripting (Python preferred)

About us

At Dagster Labs, our mission is simple but ambitious: to empower every organization to build a productive, scalable data platform. We’re the brains behind Dagster, the open-source tool developers love, and Dagster+, our managed cloud. From scrappy startups to global enterprises, thousands of teams trust us to power the data behind their analytics, machine learning, and AI breakthroughs.

We believe the AI era runs on reliable, high-quality data. That’s why we make data platforms easier to test, easier to understand, and actually enjoyable to use. Dagster is quickly becoming the backbone of how the world builds intelligent systems.

We’re a small, well-funded team with big energy and a track record of shipping software people rave about. We aim high and work as a team, holding ourselves to the highest standards and trusting eachother to deliver. We care about how we work together: no egos, no drama, just a lot of curiosity and a drive to make something meaningful.

If you want to help shape the future of data and AI and have fun doing it, come build with us.

About the role

We’re looking for a product-minded software engineer to join the team building Dagster+, our hosted SaaS product, to help make Dagster the de facto cloud solution for organizations to manage their data platform with AI-native tooling. In this role, you will drive improvements to Dagster’s backend system, agentic platform, and product UI to unlock new capabilities for our users. You will solve difficult technical problems throughout the software stack and work collaboratively with the rest of the team to plan and execute. You will instrument, monitor, debug, and optimize distributed & agentic systems from end to end. You’ll talk directly to our users (data engineers and platform owners) to understand how best to improve our product.

This is a full-time, competitively paid position with benefits. We are a distributed team with offices in San Francisco, New York, and Minneapolis. We have team members all over the U.S. and we are hiring fully remote candidates in the U.S. Every employee is provided a remote work stipend to cover the cost of home office equipment and anything else that makes your remote work location comfortable, productive, or successful. And if you’d rather not work from home, we’ll cover the cost of a coworking or office space if you’re fully remote.

Responsibilities

• Lead and execute product development initiatives from prototype to user adoption, in collaboration with product and design and your peers in engineering
• Participate in technical architecture discussions and help the team make key technical decisions.
• Solve difficult technical problems throughout the software stack and get projects over the finish line, across front-end, back-end, or infrastructure.
• Proactively identify and address opportunities for enhancement—be it in code quality, user experience, or overall performance—and lead initiatives to make these improvements happen.

Must-have Qualifications

• 5+ years of relevant software development experience
• Fluency in Python or a similar high-level programming language, and proficiency with frontend development (we use React)
• Expertise across the full software development lifecycle, from planning to delivery and iteration
• Experience in a high-functioning engineering organization working on B2B SaaS applications or large-scale distributed systems
• Strong written and oral communication skills
• Proven effectiveness at contributing to and executing as part of a team

Nice-to-have Qualifications

• Experience with agentic product development, including MCP, skills, and evals
• Experience building services on Amazon Web Services, Kubernetes & Postgres
• Experience with Dagster or related data orchestrators
• Experience with using or supporting tools in the Modern Data Stack
• Experience engaging directly with users for research and support

You belong here

We are committed to building an inclusive team and an open-source community where no one feels out of place. We know that teams with diverse backgrounds state their assumptions more explicitly, think more rigorously, and build better software. Plus it's more fun and interesting to work with a wide variety of perspectives.

You should apply to work at Dagster Labs if you want to work in, and help to build and strengthen, a high-performing software development environment where people of all backgrounds are welcome.

Our Stack

Dagster is built in Python and TypeScript, and runs seamlessly across macOS, Linux, and Windows. Our frontend is powered by React and GraphQL, delivering a modern, intuitive developer experience. We value engineers who are comfortable working across the stack and making thoughtful contributions.

The estimated cash salary for this role is $190,000 - $225,000.

Other resources

• What is Dagster, a guide to the problems we solve and the philosophy driving our approach
• A Look Inside the Dagster Labs Culture
• Our Latest Dagster Release
• Introducing the new Dagster+ UI
• Introducing Compass

Staff TPM

Company Overview:

We are a high-growth Physical AI company transforming how businesses interact with the physical world through intelligent automation. Our AI platform processes visual, spatial, and temporal data from billions of real-world events—captured across edge devices, mobile sensors, and cloud infrastructure—to enable intelligent decision-making at scale. We are searching for a Technical Program Manager to join our growing team.

Responsibilities:

• Own the overall development life cycle of the solution and manage complex projects
• Plan every phase in the project’s life cycle, from the very beginning idea phases through the closure or post-closure monitoring phases
• Develop logical solutions to business problems by asking questions, thorough examination, coordination, and collaboration with decision makers
• Work with product team in developing a strategy and road map to provide compelling capabilities for clients
• Team with senior engineers to develop the best technical design and approach for new product development
• Prioritize and manage multiple projects, often moderately complex projects
• Ensure products are delivered on time and within budget
• Maintain knowledge of advancements in product technologies
• Understand the impact of emerging business trends and their implications

Skills and Expertise:

• 6+ years of experience in building and leading strong engineering teams
• Knowledge of the full life-cycle of product development
• Demonstrated track record of successfully transforming enterprise technology processes that touch multiple disciplines
• Experience with technology operations and support, cloud-based technologies
• Deep hands-on technical skills
• Familiarity with software, hardware, and firmware solutions
• Excellent project management skills, experience working in a matrix organization
• Leadership skills; go-getter personality with ability to excite others about a project
• Exhibit effective communication and interpersonal skills
• Ability to handle ambiguity

Bonus Criteria:

• Experience with digital transformation projects using AI and IoT
• Proficiency in Linux and Ubuntu
• Agile knowledge
• Development background, including Linux (yocto), Docker
• Previous startup experience