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.

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.

About the Role

As a hands-on Engineering Manager of one of our feature teams at Ledgy, you'll lead the engineers who build the features that help companies offer, manage, and communicate compensation and savings vehicles: from equity plans to pensions, carry, and beyond. Your team works on the products employees and companies use to make sense of complex compensation structures.

This is a good fit if you find it meaningful to work on features that are financially significant to the people using them, as getting compensation right matters. The work is domain-rich: these structures are complex, high-stakes, and varied. You'll report to the Head of Engineering and play a key role in expanding Ledgy's product coverage as companies increasingly look to offer diverse forms of compensation.

You'll Thrive in This Role If You

• Have 2+ years in Engineering Management and 6+ years as a Software Engineer, with meaningful time in product-focused or domain-heavy roles
• Are energised by features that have a direct, visible impact on end users — the things employees actually see and interact with
• Care deeply about correctness in domains where getting things wrong has real financial consequences
• Are comfortable with evolving scope — compensation takes many forms, and the product will grow to reflect that
• Actively use AI tools to multiply your output and are excited to help your team do the same — you see AI as a core part of how great engineering gets done today
• Love developing people and creating an environment where engineers can do their best work
• Want to stay hands-on — you're comfortable diving into the codebase, reviewing PRs with concrete feedback, and shipping yourself

What You'll Own

• Team Leadership: Setting technical direction for the team, running 1:1s and performance conversations, and supporting engineers in their growth.
• AI-Augmented Engineering: Modelling and promoting effective use of AI tools across your team — from coding assistants to automated workflows. You'll help engineers develop good instincts for where AI accelerates work and where human judgment matters most.
• Compensation & Savings Features: The product surface covering a range of compensation and savings vehicles — equity plans, pensions, carry, and more. Your team builds the logic and UX that makes these products usable for both companies and their employees.
• Employee-Facing Experience: Ensuring the features your team builds are not just correct, but clear and accessible to employees navigating complex compensation structures.
• Domain Breadth: As Ledgy expands into new compensation types, your team will be at the frontier, building the models and product experiences that bring them to life.

Our tech stack:

• Language: TypeScript
• Frontend: React, Tailwind CSS, tRPC
• Backend: tRPC, Node.js, MongoDB, Temporal
• Infrastructure: Docker, GitHub Actions, GCP, Terraform Cloud, Kubernetes

What Your Journey Could Look Like

First 30 Days

• Build relationships with your direct reports and develop a solid understanding of the compensation domain, including what we support today and where we're headed
• Get hands-on with the codebase — review PRs and understand how the product models compensation and plan logic
• Meet PD leadership: CTO, Head of Engineering, Head of Product, and the other EMs
• Understand how your team's domain intersects with the rest of the platform

First 3 Months

• Own the team's delivery rhythm: roadmap reviews, sprint health, and unblocking engineers
• Identify and begin addressing the most complex or fragile areas of the domain
• Establish regular 1:1s and begin meaningful coaching conversations with your reports
• Partner with PM and Design on the roadmap for expanding compensation coverage

6–12 Months

• Be recognised as the technical leader for compensation and savings features at Ledgy
• Deliver measurable improvements to product quality, coverage, or the employee experience
• Lead performance reviews and meaningful career development conversations
• Be a trusted partner to product and engineering leadership on compensation strategy

The Interview Process

1. Getting to know you (30 min): Meet with someone from our people team to talk about your experience and to answer questions about the role
2. Live Coding (60 min): A problem-solving session (without AI) using your preferred language and IDE
3. System Design (60 min): Walk us through an architecture you've significantly contributed to — we'll explore domain modelling and product complexity based on your experience
4. Mock 1:1 (45 min): A mock coaching conversation with one of our engineers to see how you approach people management and development
5. Culture & Vision (30 min): Meet one of our founders to discuss Ledgy's mission and how you think about making compensation and savings products work for everyone
6. Offer 🎉

Being part of Ledgy means:

• Recharge and re-energize with flexible working hours, 25 days of vacation, and up to 40 days of remote work from outside your home country.
• We make space for your own professional development, with a generous yearly learning & development budget.
• This role will receive a competitive salary + benefits + equity. All salaries are aligned with competitively benchmarked ranges based on work location and levelling.
• For candidates based in London or Zurich we use a hybrid work model of 2 days in the office per week.

About the Role

As a hands-on Engineering Manager of our agent and developer platform at Ledgy, you'll lead the team that makes everything else possible, the infrastructure, CI/CD pipelines, developer and agent tooling, security posture, and platform capabilities that thousands of employees worldwide depend on to experience equity ownership. You'll lead a team of 4–6 engineers building the foundation for Ledgy's next chapter: a platform where AI agents operate as first-class citizens alongside human engineers.

This is a good fit if you see DevOps, CI/CD, and platform engineering not as plumbing, but as one of highest-leverage investment a company can make - especially as AI agents become core contributors to how software is built and delivered. You'll also partner closely with our CISO to shape Ledgy's security strategy, particularly as AI transforms the threat landscape and our enterprise customers demand rigorous security practices. You'll report directly to the Head of Engineering and play a key role in scaling our platform and our engineering culture.

You'll Thrive in This Role If You

• Have a strong vision for what modern platform engineering looks like when AI agents are writing, testing, and deploying code alongside humans
• Bring deep experience in CI/CD, DevOps, and infrastructure - and opinions about how to make pipelines fast, reliable, and agent-friendly
• Are excited about building systems that scale: observability, deployment automation, developer experience, and infrastructure-as-code
• Have a security-minded approach to platform engineering - you understand that when AI agents have access to production systems and sensitive financial data, the security model needs to evolve, and you're eager to help define what that looks like
• Love developing people, watching engineers grow and tackle increasingly sophisticated challenges
• Want to remain hands-on - you're comfortable building with Terraform, debugging pipelines, and shipping improvements yourself, and you actively use AI tools to multiply your output
• Have 3+ years experience in Engineering Management and 6+ years as a Software Engineer, with meaningful time spent in platform, infrastructure, or DevOps roles

What You'll Own

• Team Leadership: Leading a team of platform engineers, setting technical direction, and creating an environment where people do the best work of their careers.
• CI/CD & Developer Experience: Our build and deployment pipelines - making them fast, reliable, and optimised for both human and AI-agent workflows. Think: how do we make it seamless for an agent to open a PR, get it reviewed, and ship it?
• Infrastructure & Observability: Our GCP infrastructure, Terraform configuration, monitoring, and alerting. You'll set SLOs and make sure we can see what's happening in production - including what agents are doing.
• Security Partnership: Working alongside our CISO to define and execute Ledgy's security strategy. This means helping prioritise what matters most for a regulated fintech serving enterprise clients - from supply chain security and access controls to the new challenges introduced by AI agents operating in production systems. You'll be the engineering leader who turns security strategy into implemented reality.
• AI Infrastructure & Agent Platform: Building the foundations that let both humans and AI agents operate effectively in Ledgy's systems. This includes an MCP interface that exposes our platform to AI tools, agent identity and access models (distinguishing human from agent actions in audit logs and permissions), dry-run and sandbox environments for safe experimentation.

Our tech stack:

We have a modern, cohesive stack that lets us move fast while maintaining quality:

• Language: TypeScript
• Frontend: React, Tailwind CSS, tRPC
• Backend: tRPC, Node.js, MongoDB, Temporal
• Infrastructure: GCP, Terraform Cloud, Kubernetes, Docker, Github Actions

What Your Journey Could Look Like

First 30 Days

• Build meaningful relationships with your direct reports and understand their career aspirations
• Get hands-on with our CI/CD pipelines, infrastructure, and deployment processes - identify the biggest friction points
• Understand how AI agents are already being used in our engineering workflows (Cursor, Claude Code, automated PRs) and where the gaps are
• Join the engineering leadership team and understand how we translate product vision into technical reality
• Meet with our CISO and understand Ledgy's current security posture, compliance requirements, and where the biggest gaps are

First 3 Months

• Own and drive improvements to pipeline reliability and speed - set measurable SLOs for build times, deployment frequency, and failure rates
• Define and begin executing a roadmap for making our platform agent-ready: what needs to change so that AI agents can contribute code safely and at scale?
• Have regular 1:1s with your reports and support them in their growth
• Shape platform strategy alongside the Head of Engineering and CTO
• Partner with the CISO to define a security roadmap that accounts for AI-specific risks - agent access controls, code provenance, data exposure through AI tooling - and begin executing on the highest-priority items

6–12 Months

• Be recognised as the technical leader who defines how Ledgy's platform scales - for both humans and agents
• Have delivered measurable improvements to developer experience, deployment velocity, and infrastructure reliability
• Lead meaningful career development conversations and conduct performance reviews
• Own engineering initiatives that influence how the entire organisation ships software
• Be a trusted partner to product and engineering leadership on technical direction

The Interview Process

1. Getting to know you (30 min): meet with someone from our people team to talk about your experience and to answer questions about the role
2. Live Coding (60 min): A problem-solving session using your preferred language and IDE
3. System Design (60 min): Walk us through an architecture you've significantly contributed to — we'll explore CI/CD, infrastructure, and scaling aspects based on your experience
4. Mock 1:1 (45 min): A mock coaching conversation with one of our engineers to see how you approach people management and development
5. Culture & Vision (30 min): Meet one of our founders to discuss Ledgy's mission and how you think about building platforms that scale
6. Offer 🎉

Being part of Ledgy means:

• Recharge and re-energize with flexible working hours, 25 days of vacation, and up to 40 days of remote work from outside your home country.
• We make space for your own professional development, with a generous yearly learning & development budget.
• This role will receive a competitive salary + benefits + equity. All salaries are aligned with competitively benchmarked ranges based on work location and levelling.
• For candidates based in London or Zurich we use a hybrid work model of 2 days in the office per week.