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

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock 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.

Business Intelligence & Data Analyst

Location: Hybrid
Type: Full-Time
Reports to: Director of Business Intelligence

We're looking for an analytically strong, hands-on BI & Data Analyst with 3-5 years of experience turning data into decisions. In this role, you'll own our Power BI environment, work directly in Microsoft Fabric, and partner across the business to deliver reporting and insights that drive better decisions.

About MyFundedFutures

MyFundedFutures (MFF) is a fast-growing futures evaluation and trading firm built for the next generation of global traders. We sit at the intersection of capital markets, technology, and risk, giving traders the tools, capital, and infrastructure to succeed.

Our data platform is already built on Microsoft Fabric using a Medallion architecture (Bronze, Silver, Gold), with clean, structured data flowing across trading platforms, CRM, risk engines, payments, support, and marketing data. The foundation is in place. Now we need someone to expand our Power BI ecosystem across the business and help strengthen a culture where decisions are backed by data.

What You'll Be Doing

Data & Reporting

• Own our Power BI environment end to end, including semantic models, DAX, and dashboards for executive leadership, risk, finance, operations, marketing, and support.
• Maintain and improve data pipelines in Microsoft Fabric, including Data Pipelines, Dataflows, and Notebooks, to keep data flowing reliably across the business.
• Build scalable data models using star schema and fact/dimension design principles.
• Deliver automated daily, weekly, and monthly reporting that gives teams timely, reliable access to key metrics.

Analysis & Insights

• Analyze trader behavior, including success rates, churn, risk signals, and anomalies.
• Support pricing, product, and growth decisions through scenario modeling, sensitivity analysis, and financial performance reviews.
• Identify early warning signals in risk and operational data before they become larger issues.

Cross-Functional Partnership

• Partner closely with the COO, Risk, Finance, Marketing, Product, and Support teams to translate business questions into analytical frameworks and actionable insights.
• Act as a trusted internal partner who helps teams understand what is happening in their area of the business and why.

What We're Looking For

Required

• 3-5 years of experience in business intelligence, data analytics, or a related field.
• Strong SQL skills, including complex queries, CTEs, window functions, and performance tuning.
• Hands-on Power BI experience, including semantic models, DAX, and business-critical reporting.
• Python and/or PySpark experience for data work, including pandas, scripting, API calls, and automation.
• Strong data modeling fundamentals, including schema design, grain definition, and scalable reporting structures.
• Experience with Microsoft Fabric or a comparable platform such as Azure Synapse, Data Factory, or Databricks.
• Experience integrating data from APIs, webhooks, or third-party SaaS platforms.
  
  

Nice to Have

• Experience in capital markets, futures trading, prop firms, or brokerage operations.
• Familiarity with drawdowns, leverage, volatility, and liquidation concepts.
• Experience working with financial time-series data.
• Interest in machine learning use cases such as churn prediction, anomaly detection, and forecasting, with openness to tools such as AutoML and MLflow as that capability evolves.

How You Work

• You translate complex data into clear, practical narratives for non-technical stakeholders.
• You work autonomously and are comfortable taking initiative in a fast-moving environment.
• You bring a strong sense of ownership and follow through on problems from identification to resolution.
• You are comfortable operating in ambiguity and can create structure when priorities are evolving.
• You think critically and creatively, challenge assumptions, and look for better ways to solve problems.

Why MFF

• Help shape how a high-growth trading firm makes decisions.
• Work alongside experienced operators from capital markets, fintech, and trading technology.
• Flexible work environment focused on outcomes and impact.
• Competitive compensation and meaningful room to grow as the company scales.