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

About the Role

The SEO & Web Acquisition Analyst owns two deeply connected surfaces: organic search as an acquisition channel, and the company website as the primary conversion environment for new users.

This is not a role where SEO and web are treated as separate workstreams handed off to different teams. Here, they are one because ranking for the right keywords only matters if the page those users land on converts them into FTDs. You own the full journey from search intent to first deposit, and you are accountable for both the traffic and what happens to it.

You will think like an SEO strategist, act like a web product owner, and measure everything against one north star: acquisition.

Core Responsibilities

SEO  Organic Acquisition

• Own the end-to-end SEO strategy: keyword research, content architecture, on-page optimization, technical SEO, and link building.
• Build and maintain a keyword universe mapped to acquisition intent  prioritizing terms that drive users likely to convert to FTD, not just traffic volume.
• Conduct regular technical SEO audits and drive resolution of issues (crawlability, indexation, Core Web Vitals, structured data) in partnership with Engineering.
• Develop content briefs and SEO guidelines for internally or externally produced content, ensuring every piece serves an acquisition purpose.
• Monitor algorithm updates and assess impact on rankings and organic FTD flow; adapt strategy accordingly.
• Build and execute a link acquisition strategy focused on domain authority and referral traffic quality.

Web Ownership Conversion & Experience

• Own the company website as an acquisition asset: you are responsible for its performance, structure, and ability to convert visitors into registered and depositing users.
• Define and maintain the website roadmap  prioritizing changes that directly impact acquisition metrics (landing page performance, conversion rate, load speed, UX clarity).
• Partner with Design and Engineering to implement web improvements with speed; write clear briefs, QA releases, and own the outcome.
• Run structured CRO (Conversion Rate Optimization) experiments on key acquisition pages: homepages, landing pages, sign-up flows, and campaign-specific URLs.
• Ensure that all paid, affiliate, and organic traffic lands on pages optimized for the context in which users were acquired  no generic landing pages where tailored ones would convert better.
• Maintain the website's technical health in coordination with Engineering: uptime, page speed, mobile experience, and tracking integrity.

Analytics & Reporting

• Own SEO and web performance reporting: organic sessions, keyword rankings, organic-attributed FTDs, landing page conversion rates, and bounce rates.
• Work with the BI Lead to ensure organic and web conversion events are correctly tracked and attributed in the acquisition funnel.
• Translate data into clear action: surface insights proactively, not just in scheduled reports.

Requirements

• 3+ years of experience in SEO and/or web management with a clear focus on user acquisition or conversion outcomes.
• Strong command of SEO tools: Ahrefs, SEMrush, Screaming Frog, Google Search Console, and GA4.
• Proven ownership of a website or set of landing pages with measurable impact on conversion or acquisition metrics.
• Solid understanding of technical SEO: site architecture, Core Web Vitals, schema markup, rendering (including JS-heavy frameworks).
• Experience running CRO experiments  you know how to design a test, read results, and implement winners.
• Comfortable working with Design and Engineering: you can write a tight brief, give precise feedback, and push for fast execution.
• Data-driven by default: you measure the impact of everything you do.

Nice to Have

• Experience with programmatic SEO or landing page generation at scale.
• Familiarity with A/B testing tools (Optimizely, VWO, or similar) and feature flagging systems.
• Basic HTML/CSS knowledge enough to QA implementations and unblock small fixes without Engineering.
• Experience with server-side rendering frameworks (Next.js or similar) and their SEO implications.
• Background in fintech, marketplace, or subscription SaaS where acquisition funnels are high-stakes.

About the Role

The KAM Affiliates is the commercial owner of the affiliate partner relationships that drive new user acquisition into the funnel. While this role sits within the Onboarding team, it operates at the intersection of commercial development, partner management, and lifecycle marketing  making it uniquely cross-functional.
Your core mission is simple but demanding: grow the volume of high-quality First-Time Depositors (FTDs) coming through affiliate channels by building stronger partnerships, removing friction from affiliate workflows, and creating the conditions that make it easy and commercially attractive for partners to send more users your way.
This is not a passive account management role. You are expected to think like a business developer, act like an operator, and communicate like a partner success manager.

Core Responsibilities
Commercial & Partner Management

• Own the end-to-end commercial relationship with a portfolio of affiliate partners: negotiate terms, manage commission structures, and identify upsell opportunities within existing partnerships.
• Proactively identify and onboard new affiliate partners that align with the company's B2C acquisition strategy.
• Conduct regular business reviews with key affiliates analyze their funnel performance, share insights, and co-develop action plans to increase FTD volumes.
• Be the primary point of contact for all affiliate inquiries, escalations, and commercial negotiations.
• Maintain a healthy pipeline of new and existing affiliate opportunities, tracked and reported on a regular cadence.

Process & Enablement

• Map and audit the current affiliate onboarding and operational workflow; identify friction points that slow down partner activation or reduce partner motivation to send traffic.
• Design and implement process improvements that make it faster, simpler, and more rewarding for affiliates to operate and scale with the company.
• Build and maintain affiliate-facing materials: onboarding guides, commission calculators, creative asset kits, and performance reports.
• Work with Product and Tech to improve affiliate portal tooling, tracking accuracy, and payout processes.

Cross-functional Collaboration

• Work closely with the CRM Lead to align on user quality standards: ensure that affiliates are sending users who are set up for activation, not just registration.
• Collaborate with the Onboarding Lead (Thomas Barrett) to ensure a seamless experience between affiliate referral and in-product onboarding.
• Partner with the BI Lead to build affiliate performance dashboards and maintain accurate FTD attribution.
• Coordinate with Finance on commission reconciliation, payout schedules, and fraud controls.

Requirements

• 3+ years of experience in affiliate management, partnership development, or commercial account management  ideally in a B2C SaaS, fintech, or digital product environment.
• Proven track record of growing affiliate-driven revenue or user acquisition metrics.
• Strong commercial acumen: comfortable negotiating deals, structuring commission models (CPA, RevShare, hybrid), and managing partner P&Ls.
• Data-driven approach to partner performance: able to pull reports, interpret conversion funnels, and translate data into clear actions for partners.
• Excellent relationship management skills build trust quickly and maintain it over time.
• Solid understanding of affiliate tracking technology (postback URLs, pixel tracking, attribution platforms like Impact, PartnerStack, or similar).
• Strong written and verbal communication in English; Spanish is a strong plus.

Nice to Have

• Experience working with affiliate networks vs. direct partnerships  and knowing when each model is the right fit.
• Familiarity with CRM tools and lifecycle marketing concepts (understanding what a "quality user" looks like post-acquisition).
• Background in fraud detection or traffic quality management within affiliate channels.
• Experience in a growth-stage company where processes need to be built, not just followed.

The Role

We're looking for a Digital Acquisition Analyst who knows their way around pixels, SDKs, and acquisition channels. You'll be a key player in our growth team, helping us bring in the right users and making sure they actually stick around after downloading our app.

You don't need to have seen it all, but you need to be curious, sharp, and ready to own your work end to end.

What You'll Do

• Run and optimize acquisition channels: Manage campaigns across Meta, Google, TikTok, and other paid channels. Track what works, cut what doesn't, and scale what does.
• Own our tracking setup: Implement and maintain pixels (Meta, Google, TikTok) and make sure our events are firing correctly across web and mobile.
• Work with SDKs & MMPs: Help configure and QA tools like Adjust or AppsFlyer to keep our attribution clean and reliable.
• Dig into the funnel:  Spot where users are dropping off and work with the team to test and fix it.
• Improve app onboarding: Analyze how new users move through our onboarding flow and find ways to increase activation rates.
• Report on what matters: Build and maintain dashboards with the metrics that actually drive decisions: CAC, ROAS, LTV, conversion rates.
• Collaborate across teams: You'll work closely with product, engineering, and creative to make things happen.

What We're Looking For

Must-Have

• 2–4 years of experience in digital acquisition, performance marketing, or growth.
• Solid understanding of tracking pixels and event-based attribution (Meta, Google, TikTok).
• Hands-on experience with at least one MMP (Adjust, AppsFlyer, Branch, or similar).
• Experience analyzing and improving conversion funnels.
• Comfortable working with data SQL is a plus, but strong Excel/Sheets skills work too.
• Some experience with app onboarding flows or mobile growth.
• English proficiency: upper-intermediate to advanced (B2–C1). You'll read docs, write reports, and communicate with partners in English.

Nice-to-Have

• Experience in high-performance industries like fintech, e-commerce, gaming, or on-demand.
• Familiarity with Firebase or a BI tool (Looker, Tableau, etc.).
• You've worked in a startup or scale-up before, you know what "wearing multiple hats" actually means.

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.