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

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

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.

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

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

At Varicent, we’re driven by the belief that great people power great companies. As our Senior Software Developer, GenAI, you’ll contribute to building and scaling production-grade AI systems that directly impact how our customers use and experience our products.

You’ll contribute to the delivery of GenAI-powered features, collaborate closely with technical leads, and play a key role in maintaining technical quality, reliability, and scalability across a core product area. This role is ideal for a strong individual contributor who enjoys hands-on development, learning new technologies, and turning ideas into high-quality production systems.

Overview
• Build and improve AI-enabled product features from prototype to production. You’ll work within an end-to-end engineering team that owns build quality, release readiness, and ongoing improvements.

What You’ll Do:
• Build and maintain product features and supporting backend components, including services, integrations, and internal workflows.
• Write production-ready code and lightweight prototypes to validate ideas quickly.
• Create automated tests and proactively fix issues to keep releases stable, as engineers own quality without a dedicated QA function.
• Support proof-of-concepts and experiments by setting up test cases, reviewing results, and improving areas where quality is weak.
• Document systems and workflows so others can run, maintain, and extend what you build.

GenAI Competencies You’ll Practice:
• Translate business problems into clear AI tasks and implement end-to-end solutions with guidance from technical leads.
• Prepare and maintain data and test cases used to measure output quality.
• Apply common AI application patterns such as prompting, using internal knowledge sources, and calling external tools or APIs.
• Measure quality using repeatable evaluation methods, including automated checks and structured human review when required.
• Contribute to production readiness through versioning, monitoring, basic performance and cost awareness, and usage tracking.
• Follow privacy, security, and compliance requirements in collaboration with Legal and Security teams.

How We Work:
• We balance exploration with delivery — test ideas quickly, then productionize what works.
• “Done” means quality goals are met, followed by continuous improvement in accuracy, cost, and performance.
• The team owns systems end-to-end, including build, release, and operational reliability.

What You Bring:
• 4+ years of overall software engineering experience, with at least 2+ years building and shipping production systems in product teams.
• 4+ years of hands-on technical experience writing production-quality code.
• Strong software engineering fundamentals, including system design and scalable architecture.
• Proficiency in Python and/or TypeScript (or similar), building APIs, services, and data pipelines.
• Experience with cloud platforms (AWS, GCP, or Azure), CI/CD pipelines, automated testing, and observability.
• An experimentation mindset — able to define metrics, build evaluation frameworks, and iterate quickly in ambiguous problem spaces.
• Strong interest in learning and applying GenAI technologies in practical, production environments.

Nice to Have:
• Hands-on experience with GenAI/LLMs, including prompt engineering, retrieval/RAG, embeddings, tool or function calling, fine-tuning, or evaluation pipelines.
• Familiarity with LLMOps practices such as experiment tracking, version control for prompts or models, and cost or latency optimization.
• Experience with tools such as LangChain/LangGraph, OpenAI, Anthropic, Azure OpenAI, and vector databases like Pinecone, FAISS, or Milvus.
• Contributions to open source, technical blogs, or conference talks.

Education:
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

 Note: 

• This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders.
• This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment. 

🍎 Benefits 

• Market Leading Compensation Package.
• Wellness Programs to Support Health and Wellbeing.
• Working with the latest tools and technologies in a fast-paced environment.
• Remote Work Flexibility.
• Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
• Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
• Global Connected Culture: Hubs in Romania, UK, US, Canada.
• Dynamic Work Culture: Thrive in our innovative and multicultural environment.
• Grow with Us: Continuous development opportunities.

We’re looking for a Senior Applied Data Scientist ready to elevate their impact. In this role, you’ll lead analytical projects end‑to‑end, applying advanced techniques to distil complex challenges into clear, actionable insights for our clients. You’ll combine strong technical expertise with strategic thinking, guiding both the analytical direction of projects and the quality of insight delivery

As part of our senior team, you’ll investigate and implement advanced methodologies, mentor junior colleagues, and collaborate closely with clients and internal teams to ensure alignment, clarity, and value.

What you'll be doing:

• Lead and execute analytical projects, applying advanced machine learning and analytical methodologies to solve complex client problems.
• Investigate & implement the most appropriate analytical techniques for each project, re-use and enhance global solutions and code.
• Deploy data science algorithms and market products on the designated tech stack, ensuring efficient and cost-effective delivery.
• Build and maintain strong relationships with internal teams and clients, ensuring clear communication and alignment on project requirements.
• Participate in external client meetings, helping explain methodologies, analytical approaches, and solution designs.
• Lead, support and guide junior team members, enabling smooth execution of their projects while maintaining quality standards

What we expect from you

• English language proficiency
• Minimum 5 years of experience with programming and Data Science in work/business environment
• Strong experience with SQL and Python programming, object oriented programming and Test driven development. Experience with PySpark is preferred
• Experience in applying advanced statistical models or machine learning algorithms to solve a variety of complex problems
• Advanced analytical skills, Insights Analysis, Data Visualization and Story telling. Experience with Power BI/Looker studio is a plus.
• Ability to manage own projects, analytical work streams for client accounts, coordinate related projects with other team members and coach more juniors team members.
• Experience working in retail analytics is a nice to have.

Software Development Engineer in Test (SDET)

About the Role

Trivelta powers sportsbook and casino platforms used by operators around the world. As we continue to scale our global offering, we’re looking for a hands-on Software Development Engineer in Test (SDET) to help us build quality into our product from day one. As an early member of our engineering team, you’ll play a key role in shaping our testing strategy, tooling, and quality culture as we scale.

This role is ideal for someone who thrives in fast-moving environments, enjoys wearing multiple hats, and wants real ownership over how quality is engineered—not just validated.

Responsibilities:

• Build and evolve our automated testing strategy from the ground up
• Design, develop, and maintain automated tests for APIs, backend services, and front-end applications
• Partner closely with product managers and engineers to define requirements, edge cases, and acceptance criteria early
• Embed automated testing into our CI/CD pipeline to support rapid, confident releases
• Balance automation with lightweight manual testing when needed to keep velocity high
• Identify quality risks early and propose pragmatic solutions—not bureaucracy
• Help establish best practices for testability, reliability, and observability
• Influence product and engineering decisions with a strong quality mindset

Qualifications:

• 3+ years of experience in SDET, QA engineering, or software engineering with a strong testing focus
• Strong coding skills in at least one modern language (e.g., Python, JavaScript/TypeScript, Java, or similar)
• Hands-on experience with modern test automation tools (e.g., Playwright, Cypress, Selenium, REST/API testing frameworks)
• Experience testing APIs, backend systems, and distributed services
• Familiarity with CI/CD pipelines and version control (Git)
• Comfort working with ambiguity and evolving requirements
• A proactive, ownership-driven mindset—you see problems and fix them

Nice to Have:

• Startup or early-stage company experience
• Experience with cloud infrastructure (AWS, GCP, or Azure)
• Exposure to performance or load testing
• Experience working with microservices, event-driven systems, or data-heavy applications
• Ability to influence quality culture beyond just test execution

Why Join Us:

• High impact: your work directly shapes product quality and customer trust
• Ownership: you’ll define how testing works here, not inherit legacy systems
• Speed: small teams, fast decisions, and minimal process overhead
• Growth: real opportunity to expand your scope as the company scales
• Competitive compensation

About the Role

On Trivelta, we build the technology that powers modern, social-first gaming experiences. Through our proprietary sportsbook and casino engine, we enable partners to launch fully branded, legally compliant gaming products combining real social interactions, predictive gameplay, and casino entertainment in one unified experience.

Headquartered in Boston with operations in Monterrey, Barcelona, and Atlanta, we’re scaling rapidly and building a global team passionate about redefining how people play, socialize, and connect.

We’re seeking a hands-on Data Analyst to join our team in Monterrey, MX. In this role, you’ll work closely with business stakeholders to turn complex data into clear, actionable insights. You’ll leverage strong SQL skills to build analyses, dashboards, and reports that support data-driven decision-making across the organization. This is an excellent opportunity for an analytical, collaborative professional looking to make a direct impact in a fast-growing, international environment.

What You’ll Do

• Write complex, efficient SQL queries to analyze data from multiple sources.
• Build reusable datasets, views, and queries for reporting and self-service analytics.
• Partner with stakeholders to define metrics, gather requirements, and translate business questions into analytical solutions.
• Design and maintain dashboards and reports using modern BI tools (Power BI, Tableau, Looker, QuickSight, or similar).
• Validate data quality, investigate anomalies, and ensure consistent KPI definitions.
• Support ML and advanced analytics projects by preparing datasets and interpreting results.
• Work with cloud-based data platforms, preferably AWS (S3, Athena, Redshift, RDS, Glue).
• Apply basic graph or network analysis concepts when working with relationship-based data.
  
  

What You Bring

Must-have

• Bachelor’s degree in a technical or quantitative field.
• 2–5+ years of experience in a data analyst, BI analyst, or similar role.
• Strong hands-on SQL skills (joins, subqueries, window functions).
• Experience working directly with business stakeholders.
• Experience building dashboards in at least one modern BI tool.
• Advanced English and strong communication skills.

Nice-to-have

• Exposure to machine learning or advanced analytics projects.
• Experience with AWS or another cloud data platform.
• Familiarity with Python or R for data analysis.
• Experience with graph or network analysis.