BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

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.

Infrastructure Engineer Summary:  

Tenstreet is a fast-growing, market-dominating SaaS-based solutions provider to the trucking industry. Tenstreet’s platform is hosted between its own hardware within a colocation facility and multiple cloud providers. Tenstreet’s Infrastructure team handles everything necessary to manage a highly scalable and secure environment, including specifying, purchasing, implementing, administering, securing, and monitoring hardware, software, and third-party services. This position is a hybrid role. 

Our infrastructure engineering team has broad expertise in on-prem and cloud architecture, performance, security, system administration, network administration and analysis, database administration, automation, incident response, troubleshooting, access control, and audit. 

A perfect fit for this Infrastructure Engineer position isn’t a person who already has deep experience with every specific tool and technology we use in our environment (some of which are mentioned below). 

Rather, our perfect fit is a person who has a demonstrated ability to learn, implement, and manage technologies that may be new to the person.  Further, this is a person who makes sound decisions and gets stuff done. The Infrastructure Engineer works within an established framework of standards and procedures but operates with tremendous autonomy and responsibility. 

As an Infrastructure Engineer you’ll be specifically responsible for: 

• On premises and cloud server and service administration, including the designing, building, monitoring, and securing of various Linux virtual servers and containers.
• Managing our NetApp storage tier and other file servers.
• Using tools such as Ansible Automation Platform to automate routine activities (server building and provisioning, administration activities, configuration management, etc.)
• Working with our development and product teams to ensure the infrastructure scales and meets the needs of the business
• Using monitoring and analysis tools such as Datadog and Wazuh IDS to collect and analyze system performance metrics for capacity planning, proactive response, and troubleshooting.
• The application and oversight of information security controls across various operating environments.
• Understanding and assisting in the management of our network infrastructure, including firewalls, switches, and third-party services such as Cloudflare for WAF/DDOS. 

More broadly, as an Infrastructure Engineer, you’ll be responsible for: 

• Building and supporting resilient and scalable systems that achieve high availability.
• Managing environmental and architectural changes with a mind to maximize the pace of implementation without compromising security or functionality.
• Identifying technological and procedural impediments to Tenstreet, devising solutions to improve the company’s effectiveness.
• Coherently communicating technical topics and concerns to a diverse assortment of internal and external audiences.
• Administration of a variety of applications and services for both internal and external users.
• Balancing the need to "keep things running" with allocating time to system enhancements and new strategic initiatives.
• Mentoring or training other team members and colleagues from other roles.
• Participating in on-call rotations.
• Troubleshooting and resolving production issues (hardware/software/applications).   

You might be a good fit as an Infrastructure Engineer if you: 

• Have demonstrated the ability to learn new technologies that may or may not be related to what you already know.
• Make sound decisions and work well both autonomously and with a team. 
• Have at least 3-5 years’ experience in Linux systems administration, especially coming from a DevOps-oriented background.
• Have experience with an assortment of common applications and protocols, such as Apache, MySQL, NFS, Squid, Redis, Docker, DHCP, SSH, DNS, LDAP, SMTP, etc. 
• Have some software development and scripting experience, preferably using common interpreted languages (PHP, Perl, Python, Ruby, etc.)
• Have a knack for problem solving, asking the right questions and gathering the right data to take appropriate action.
• Have experience with configuration management and automation tools (Ansible preferred).
• Have a thorough understanding of networking concepts (OSI model, NAT, VLANs, packet filtering, application proxies, etc.)
• Are comfortable working alone when necessary, hunting down answers, thinking critically and solving problems.
• Play well with others and have learned to collaborate, disagree, compromise, and build new things with a team.
• Can juggle multiple projects with competing priorities in a fast-paced environment. 
• Can communicate well and can walk others through complex processes and problems easily and naturally. This includes both written and verbal communications.
• Jump at the chance to deploy automated solutions to eliminate toil. 

What we’ll provide you:    

• A great compensation plan  
• A positive and generative work environment enabling you to develop your skills, collaborate with other professionals and invest in others.   
• A work community that strives to take great care of you through great benefits like health insurance, dental, vision, 401k, PTO and others.