In short

Are you a visionary designer ready to bridge the gap between imagination and high-performance product? Our Product Academy program is an immersive, 2-year rotational program designed to cultivate the next generation of creative talent at On.

The journey is designed to develop you into a true functional expert with the potential to grow in our dynamic organization. You will embark on a specialized learning journey, with rotations designed to build depth in product Design.

You will journey from the conceptual sketch to the final product on the shelf. You will rotate through the core pillars of our design organization, gaining a holistic, 360-degree view of what it takes to build world-class, disruptive sportswear.

Your two-year path is structured to build your expertise across our ecosystem:

• Rotation 1: Apparel & Accessories Design (6 Months) Master the foundations of On’s design language. You will collaborate with our Apparel team to translate consumer insights into functional, aesthetic, and performance-driven collections.
• Rotation 2: Footwear Design (6 Months) Pivot to the core of our business. You will dive into the technical complexities of footwear design, learning how to balance biomechanics, innovation, and our signature aesthetic.
• Rotation 3: Production & Development Insights (5 Months) Theory meets reality. You will travel to Vietnam to work directly with our development teams. You will witness firsthand how your designs are industrialized, solved for manufacturing, and brought to life in the factory.
• Rotation 4: Tailored Specialization (7 Months) The final rotation is shaped through a balance of your performance and interests, alongside the needs of the business. Based on this, you will deep-dive into a specialised area such as Innovation Design, Color & Material, Visual Exploration, or Sustainability.

Start date: September 1st, 2026.

Your mission

• Collaborative Creation: Work closely with cross-functional partners in Product Development, Material Science, and Product Management to ensure design integrity from inception to mass production.
• The Design Lifecycle: Engage in the full end-to-end design process: research, ideation, 3D modeling/sketching, fitting, and finalization.
• Global Perspective: Act as a conduit between the Design Studio and our global manufacturing partners, sharing feedback loops and finding solutions to complex technical challenges.
• Market Intelligence: Stay at the forefront of the industry by identifying newness in sports, fashion, and technology, translating these findings into actionable concepts for our collections.

Your story

• Background: You hold a Master’s degree in Fashion Design, Industrial Design, Footwear Design, or a closely related creative field.
• The Portfolio: You have a compelling portfolio that demonstrates a mastery of form, color, silhouette, and a deep understanding of technical garment or product construction.
• Cross-Disciplinary Mindset: You don’t see barriers between categories; you see opportunities for innovation. Whether your primary passion is footwear or apparel, you are genuinely excited to master both. You are a "product creator first," meaning you are eager to challenge your comfort zone, apply textile knowledge to performance footwear, or use biomechanical insights to inform apparel. You are fully committed to diving deep into every rotation, regardless of the category, to become a truly versatile designer.
• Technical Toolkit: You are proficient in the Adobe Creative Suite (Illustrator, Photoshop, InDesign). Proficiency in 3D design software (e.g., CLO3D, Rhino, Gravity Sketch) is highly valued.
• The "On" Mindset: You possess an entrepreneurial spirit. You are as comfortable with a messy, conceptual brainstorm as you are with the precision required for technical specs and critical timelines.
• Communication: You have the ability to articulate your creative vision to designers and non-designers alike, using mood boards, sketches, and prototypes to tell a story.
• Language: You are fluent in English (written and spoken).
• Curiosity: You are naturally inquisitive about culture, arts, architecture, and technology, and you are constantly looking for ways to apply these influences to sportswear.
• You have the right to work in Switzerland or the EU.

About the team

You will be based in the heart of our vibrant and diverse Global Design Studio in Zurich – the creative engine responsible for all of On’s disruptive product designs.

The studio encompasses footwear, apparel and accessories design, color and material, innovation design and sustainability. While our teams are structured into verticals to cater to the unique needs of different communities, we operate as a deeply connected ecosystem. Throughout your rotations, you will collaborate with a multitude of multidisciplinary teams across the entire product organization, from innovation and development to color and material.

In close collaboration with Innovation and Product Creation, our team ensures the holistic conception and development of every product. By leveraging cross-functional expertise and diverse design backgrounds, we ensure that every innovation, silhouette, and detail meets the highest standards of quality and performance. 

ABOUT THE ROLE

As a Global Account Manager for our most prestigious Swiss-based strategic accounts, you will architect and lead the global expansion of Everpure’s footprint within a high-stakes "hunter" territory. You will serve as the primary conductor for a cross-functional global team, transforming complex business challenges into seamless, high-impact data solutions that redefine how industry titans manage their infrastructure. By fostering deep-rooted partnerships with C-suite executives and Global Systems Integrators, you will drive the mission of turning global accounts into long-term, referenceable advocates.

WHAT YOU'LL DO

• Architect Global Account Strategy: Orchestrate and execute comprehensive multi-year account blueprints that align Everpure’s innovation with the client’s global business objectives, ensuring predictable revenue growth and market share dominance.
• Lead High-Stakes Negotiations: Drive the end-to-end sales lifecycle for complex, multi-national contracts, navigating intricate partner and supplier dynamics to deliver high-value outcomes for both the customer and the business.
• Cultivate C-Suite Partnerships: Build and maintain a sophisticated network of relationships with "C" level stakeholders, acting as a trusted advisor to influence their long-term technology roadmaps and digital transformation initiatives.
• Synthesize Market Intelligence: Analyze global industry trends and competitor landscapes to proactively pivot sales strategies, ensuring our value propositions remain ahead of market shifts and customer requirements.
• Direct Cross-Functional Collaboration: Lead internal regional teams and external partners (GSIs) in a unified "team-sell" approach to ensure the delivery of high-quality proposals and the seamless execution of global service level agreements.

WHAT YOU BRING

• Strategic Sales Mastery: Proven expertise in penetrating large-scale global accounts and navigating the complexities of "hunter" territories, with a focus on closing multi-million dollar global contracts and exceeding aggressive growth KPIs.
• Executive Influence: Exceptional ability to translate technical advantages into business value for C-level audiences, backed by strong decision-making skills and the presence to earn respect across diverse, global organizations.
• Collaborative Leadership: Demonstrated success in leading distributed teams and managing complex partner ecosystems (such as GSIs and Channel Partners) to deliver unified customer experiences across multiple geographies.
• Linguistic & Technical Acumen: Professional fluency in English and either Swiss-German or French is essential for navigating the local and global landscape; a deep understanding of data storage, cloud infrastructure, or enterprise SaaS is required to bridge the gap between business needs and technical solutions.

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.

Join Proton and build a better internet where privacy is the default

At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security, and freedom online.Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive, and Proton Pass. These tools empower individuals and organizations to take control of their personal data, break away from Big Tech’s invasive practices, and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton’s services have even been instrumental in saving lives by enabling secure and private communications in high-risk situations.

Proton is a profitable company that does not rely upon VC funding, supporting over 100 million user accounts with a growing team of over 500 people from over 50 different countries, from the world's top companies and universities. We value intelligence, learning potential, and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online.

Hiring at Proton is highly selective, with less than 1% of candidates hired. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You will have the opportunity work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions.

We have a global mindset and big ambitions but remain a start-up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Check our open-source projects here!

The team:

You will be joining the Data Center and Hardware Team. 

At Proton, we operate our own private cloud infrastructure, which is distributed across multiple data centers and regions. This infrastructure, built primarily on open-source technology, is doubling every year and requires 24/7 operation.

Join our Team at Proton, where you will play a vital role in ensuring the smooth operation, scaling and maintenance of our private cloud infrastructure. 

Purpose of the role

As a Data Center Engineer, you will be responsible for monitoring, troubleshooting, scaling and optimizing our infrastructure systems to ensure their reliability, cost efficiency and performance. You will collaborate closely with our IT team, network engineers, and system administrators to identify and resolve any issues, as well as propose and implement new innovations. You will work with cutting-edge infrastructure platforms and collaborate with a talented team of humans passionate about technology.

What you will do

●    Server stacking and cabling installation in our rooms
●    Run HW selection validation test, performance tuning and benchmarking as a pair of HW sourcing
●    Performing HW troubleshooting and basic HW repairs for Servers and Network equipment (PSU, Network cards, CMOS batteries, Memory, Optics...)
●    Diagnostic and repair of defective network fiber links and interfaces
●    Coordinate logistics for new hardware and parts procurement
●    Supervision Data Center remote hands contractors, work orders plan and execution for local and remote sites
●    Management of material stock and purchases: Working together with our procurement teams to ensure all needed parts are available for the Data Center operations
●    Data center environment monitoring

Job requirements

●    Experience racking and cabling servers with high standards
●    Experience with HW troubleshooting
●    Good understanding of Data Center infrastructure ( racks, cabling, power, cooling)
●    Computer hardware architecture knowledge
●    Basic user experience of configuration management tools and version control systems  
●    Ability to track and communicate the status of different projects
●    Ability to keep up in an extremely fast-paced environment
●    Good communication skills and ability to work in a multicultural environment
●    Availability to travel to different locations for short-term projects
●    Work proficiency in English

Bonus points for: 

●    Linux user or admin experience and scripting skills
●    Advance HW repairs experience 
●    Project management experience
●    DCIM experience as user or administrator
●    HW provisioning, burn-in and validation experience 
●    Electrical engineer background

Even if you don’t meet all the requirements listed above, but feel you could still be a great fit, please still apply.

What We Offer

• Office First: Collaboration is easier and more effective in person, which is why we have offices in Geneva, Zurich, Prague, Barcelona, Paris, London, Vilnius, Skopje, and Taipei. You can also enjoy working from home up to 30% of the time, while enjoying great company during our three core days in the office. Depending on the role, fully remote positions may also be available.
• Technology: We provide all the devices and software you need to excel in your role, ensuring you have the best tools at your disposal to achieve your goals.
• Food: Lunch and snacks are provided by Proton every day at our offices.
• Transport: We will always support our employees with transport costs through subsidizing public transport, bike allowances, or parking spaces based on your office location.
• Stock Options: At Proton, we are all owners of the company and you get stock options when you join us.
• Flexible Working: You can define your own working hours as long as it works with team meetings.
• Learning and Development: We are committed to your professional growth. Proton offers various learning opportunities, including training programs, conferences and events, and continual learning.
• Employee Benefits: Comprehensive health insurance plans, competitive retirement savings options, generous vacation and leave policies, and wellness programs.
• Work that Matters: Proton is a community-first organization, started with the support of a crowdfunding campaign and built with community input. To this day, Proton’s only source of revenue is user subscriptions. Over 100 million people trust and support Proton, and we put our users and community first in everything we do. Read more about our impact here.

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

#LI-ONSITE

Join Proton and build a better internet where privacy is the default

At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security, and freedom online.

Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive, and Proton Pass. These tools empower individuals and organizations to take control of their personal data, break away from Big Tech’s invasive practices, and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton’s services have even been instrumental in saving lives by enabling secure and private communications in high-risk situations.

Proton is a profitable company that does not rely upon VC funding, supporting over 100 million user accounts with a growing team of over 500 people from over 50 different countries, from the world's top companies and universities. We value intelligence, learning potential, and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online.

Hiring at Proton is highly selective, with less than 1% of candidates hired. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You will have the opportunity to work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions.

We have a global mindset and big ambitions but remain a start-up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Check our open-source projects here!

The Drive Team:

Proton Drive is our end-to-end encrypted cloud storage service that makes privacy simple and accessible. Built on the same security principles that power Proton Mail, Proton Drive ensures that files, photos, and documents remain fully encrypted—both in transit and at rest—so only you can access them. Available on web, desktop, and mobile, it enables users to securely store, share, and collaborate without sacrificing privacy or control. By offering a truly private alternative to Big Tech’s data-driven ecosystems, Proton Drive plays a key role in building an internet where privacy is the default.

The Role:

Proton is a mobile-first company building an Internet that respects privacy and puts people, not advertisers, first. As an engineer on our Apple team you’ll build and ship features across Proton’s apps on iPhone, iPad and macOS, working closely with product and engineers across the company to define what “great” looks like on Apple platforms. Our codebase is primarily Swift with some Go, and we’re moving to a platform-independent Rust logical core that communicates with Swift via a generic interface, so Rust experience is a strong plus. Quality is central to the role: you’ll contribute to and maintain our testing stack, including unit tests for business logic, stubbed API tests for pseudo-integration, snapshot tests for UI and XCUITest for end-to-end user flows. You’ll join a team that pairs deep technical expertise with an obsession for simple, usable interfaces, shipping privacy-preserving products used by millions.

We we are looking for:

• You have experience in iOS or macOS development, in particular with Swift (7+ years)
• You have a passion for mentoring other engineers and helping them grow
• You are passionate about user interaction, usability, and providing an excellent user experience
• Demonstrated experience driving change within an organization and leading complex technical projects
• Extensive experience building maintainable and testable code bases, including API design and unit testing techniques
• Extensive experience with multithreading programming and mobile memory management
• A strong grasp of scalable software architecture and software engineering best practices
• An intuition for optimal user experience and design

Even if you don’t meet all the requirements listed above, but feel you could still be a great fit, please still apply.

What We Offer

• Office First: Collaboration is easier and more effective in person, which is why we have offices in Geneva, Zurich, Prague, Barcelona, Paris, London, Vilnius, Skopje, and Taipei. You can also enjoy working from home up to 30% of the time, while enjoying great company during our three core days in the office. 
• Technology: We provide all the devices and software you need to excel in your role, ensuring you have the best tools at your disposal to achieve your goals.
• Food: Lunch and snacks are provided by Proton every day at our offices.
• Transport: We will always support our employees with transport costs through subsidizing public transport, bike allowances, or parking spaces based on your office location.
• Stock Options: At Proton, we are all owners of the company and you get stock options when you join us.
• Flexible Working: You can define your own working hours as long as it works with team meetings.
• Learning and Development: We are committed to your professional growth. Proton offers various learning opportunities, including training programs, conferences and events, and continual learning.
• Employee Benefits: Comprehensive health insurance plans, competitive retirement savings options, generous vacation and leave policies, and wellness programs.
• Work that Matters: Proton is a community-first organization, started with the support of a crowdfunding campaign and built with community input. To this day, Proton’s only source of revenue is user subscriptions. Over 100 million people trust and support Proton, and we put our users and community first in everything we do. Read more about our impact here.

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

#LI-ONSITE

Lead Technical Product Manager, Operations AI & Data

The Team

The Product Management Technology team is the digital backbone of On's product creation engine. We are a team of strategic product leaders who partner with core business functions—from R&D and Design to Sourcing and Supply Chain—to build the platforms and systems that power On's growth.

Our mission is to create a seamless, intelligent, and efficient digital ecosystem that enables our teams to design and deliver the next generation of revolutionary products. We are internal entrepreneurs, deeply embedded in the business, who identify complex challenges and build elegant, scalable solutions.

As a member of our team, you will have a unique opportunity to drive significant transformation and make a tangible impact on the future of one of the world's most exciting brands.

The Role

At On, our supply chain is the backbone of our global operation. We are looking for a visionary Lead Technical Product Manager to spearhead the next evolution of our supply chain by harnessing the power of Artificial Intelligence and data.

In this leadership role, you will be the bridge between our complex operational challenges and cutting-edge data solutions. You will be responsible for identifying high-impact opportunities where data, AI and automation can revolutionize our planning, logistics, and decision-making processes. Your expertise will be in understanding the business, the data, and the possibilities of AI to define a compelling product vision and guide our AI, data and engineering teams to build solutions that deliver immense value.

As a Lead, you will also play a key role in mentoring other product managers and shaping the product culture within the team.

What You'll Do

• Own the Data & AI Product Vision: Develop and champion a clear product strategy and roadmap for Data & AI-driven initiatives within the supply chain domain.
• Identify Opportunities: Collaborate closely and build relationships with supply chain stakeholders to deeply understand their processes, data challenges, and automation pain points.
• Translate Problems into Solutions: Convert ambiguous business problems into well-defined product requirements, user stories, and specifications for our data science and engineering teams to drive measurable value.
• Prioritize for Impact: Create and manage a data-driven product backlog, prioritizing features and initiatives that deliver the highest value to the business.
• Define Success: Establish and monitor key performance indicators (KPIs) to measure the effectiveness and impact of your AI/data products, in partnership with analytics.
• Bridge the Gap: Serve as the primary liaison between business leaders, supply chain operators, data scientists, and engineers, ensuring alignment and clear communication across all teams.

What You'll Bring

• Leadership Experience: Proven experience as a Technical Product Manager, with a demonstrated history of leading significant products or initiatives from concept to launch.
• Supply Chain Acumen: Strong experience with supply chain data and a solid understanding of core supply chain principles (e.g., demand forecasting, inventory management, logistics).
• AI/Data Fluency: You have a basic familiarity with AI and machine learning concepts and, most importantly, a gift for translating business needs into data-driven solutions. You don't need to be an AI expert, but you must be adept at partnering with engineers and data scientists who are.
• Analytical mindset: You are able to creatively identify the right success metrics and analyses that will provide key insight into product functionality.
• Technical Aptitude: You are comfortable in a technical environment and capable of holding your own in discussions about data models, APIs, and system architecture.
• Strategic Problem-Solver: You excel at breaking down large, complex problems into actionable steps and have a strategic mindset to see the bigger picture.
• Exceptional Communication: You have an outstanding ability to communicate complex ideas clearly and effectively to both technical and non-technical audiences.

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.

The Role

The Lead Researcher in Quantum Machine Learning will be a member of Terra Quantum's AI Applied Research team. This team is at the forefront of conducting both fundamental and applied research in the field of quantum machine learning. Although the Lead Researcher will focus on innovating in quantum machine learning, the role involves translating research findings into practical algorithmic software solutions. The Lead Researcher is expected to closely monitor and analyse scientific and industrial trends and needs across short-term, mid-term, and long-term horizons, specifically within the quantum technology and machine learning sectors, to guide the development and implementation of hybrid quantum-classical algorithms.

Reporting directly to the Director of AI, the Lead Researcher in Quantum Machine Learning plays a pivotal role in driving excellence within their team. They are not only detail-oriented but also possess a remarkable capacity for enthusiasm. By demonstrating commitment and passion for the mission, they inspire their team members to contribute to making quantum technologies widely accessible and to effect positive change globally.

The Responsibilities

The Lead Applied Researcher should expect to work in the following Quantum Machine Learning Team activities.

• Fundamental research in quantum machine learning
  • Developing quantum machine learning algorithms for different data processing tasks, e.g. time series, routing and planning, image, graph data, or natural language processing
  • Keeping up with state-of-the-art approaches in quantum machine learning
  • Analysing parametrised quantum circuits in their capacity to learn via a hybrid quantum-classical optimization loop
  • Utilizing metrics of, e.g., the Fisher information matrix, the effective dimension, and Fourier terms accessibility for parametrized quantum circuit ansatz analysis
  • Improving the trainability of parametrised quantum circuits through layerwise batch-entropy regularization and similar techniques
  • Interpreting and explaining quantum machine learning models. Analysing the flow of information through different architectures of quantum neural networks
  • Researching and understanding where the quantum brings the benefit to machine learning
  • Developing data encoding and data processing techniques for different types of quantum computers
  • Assisting in writing patent draft applications
  • Writing research papers for scientific journals

• Efficient implementation of quantum machine learning algorithms
  • Executing quantum machine learning algorithms on QPUs, e.g. of QuEra, IonQ, Rigetti, and IBM Q
  • Adjusting and improving implementation of hybrid quantum neural networks for different QPUs
  • Exploring and testing the best ways to hybridize classical machine learning solutions with quantum machine learning
  • Understanding the way to implement an efficient interaction of hardware (CPU, GPU) and software (PyTorch, Pennylane)
  • Assisting in the development of our quantum machine learning SDK
  • Optimising, at least theoretically, the code of hybrid quantum-classical machine learning solutions for faster execution

• Supporting industry projects implementation
  • Bringing in novel ideas based on industry needs in time-series, routing and planning, GenAI, and natural language processing tasks
  • Brainstorming on possibilities of quantum machine learning algorithms applications to our client’s industry problems
  • Working on finding a theoretical or empirical advantage of using hybrid quantum-classical machine learning in industrial problems
  • Assisting in writing applied industry research papers for scientific journals

The Requirements

The Lead Applied Researcher is expected to have several qualifications depending on the area of activity in quantum machine learning.

• PhD in computer science, physics, mathematics, electrical engineering, or equivalent subject is required
• Publication record in quantum machine learning, or variational quantum algorithms is required
• Advanced expertise in one or more quantum programming languages (Qiskit, Q#, Pennylane, Cirq, Quipper, Scaffold, tket) is required
• Advanced experience working with variational quantum algorithms for machine learning is required
• Experience working with the classical machine learning algorithms is required
• Computational learning theory expertise is optional
• Expert knowledge in Python is optional
• Expert knowledge in Pytorch and TensorFlow is optional
• Experience in programming for GPUs is optional
• Experience in working with QPUs is optional
• Goal-oriented, analytical and the ability to work independently
• Flexible, proactive, and creative with the ability to work in the team
• Highly motivated and resilient with the ability to work interdisciplinary
• Proficiency in written and spoken English
• Applicants must have the legal right to live and work in the European Union or Switzerland. Unfortunately, we are unable to offer visa sponsorship for this role.

The Role

The Researcher in Quantum Machine Learning or Quantum Information will be a member of Terra Quantum's AI Applied Research team. This team is at the forefront of conducting both fundamental and applied research in the field of quantum machine learning. Although the Researcher will focus on innovating in quantum machine learning, the role involves translating research findings into practical algorithmic software solutions. The Researcher is expected to closely monitor and analyse scientific and industrial trends and needs across short-term, mid-term, and long-term horizons, specifically within the quantum technology and machine learning sectors, to guide the development and implementation of hybrid quantum-classical algorithms.

The Researcher in Quantum Machine Learning plays a role in driving excellence within their team. They are not only detail-oriented but also possess a remarkable capacity for enthusiasm. By demonstrating commitment and passion for the mission, they inspire their team members to contribute to making quantum technologies widely accessible and to effect positive change globally.

The Responsibilities

The Applied Researcher should expect to work in one and supporting in the other areas of the following Quantum Machine Learning Team activities.

• Fundamental research in quantum machine learning
  • Developing quantum machine learning algorithms for different data processing tasks, e.g. time series, routing and planning, image, graph data, or natural language processing
  • Exploring state-of-the-art approaches in quantum machine learning
  • Analysing parametrised quantum circuits in their capacity to learn via a hybrid quantum-classical optimization loop
  • Utilizing metrics of, e.g., the Fisher information matrix, the effective dimension, and Fourier terms accessibility for parametrized quantum circuit ansatz analysis
  • Improving the trainability of parametrised quantum circuits through layerwise batch-entropy regularization and similar techniques
  • Interpreting and explaining quantum machine learning models. Analysing the flow of information through different architectures of quantum neural networks
  • Researching and understanding where the quantum brings the benefit to machine learning
  • Developing data encoding and data processing techniques for different types of quantum computers
  • Writing research papers for scientific journals

• Efficient implementation of quantum machine learning algorithms
  • Executing quantum machine learning algorithms on QPUs, e.g. of QuEra, IonQ, Rigetti, and IBM Q
  • Adjusting and improving implementation of hybrid quantum neural networks for different QPUs
  • Exploring and testing the best ways to hybridize classical machine learning solutions with quantum machine learning
  • Understanding the way to implement an efficient interaction of hardware (CPU, GPU) and software (PyTorch, Pennylane)
  • Assisting in the development of our quantum machine learning SDK
  • Optimising, at least theoretically, the code of hybrid quantum-classical machine learning solutions for faster execution

• Supporting industry projects implementation
  • Bringing in novel ideas based on industry needs in time-series, routing and planning, GenAI, and natural language processing tasks
  • Brainstorming on possibilities of quantum machine learning algorithms applications to our client’s industry problems
  • Working on finding a theoretical or empirical advantage of using hybrid quantum-classical machine learning in industrial problems
  • Assisting in writing applied industry research papers for scientific journals

The Requirements

The Applied Researcher is expected to have several qualifications depending on the area of activity in quantum machine learning or quantum information.

• Currently pursuing or recently completed a degree in computer science, physics, mathematics,
  or equivalent subject
• Experience in one or more quantum programming languages (Qiskit, Pennylane, Cirq, etc.)
• Experience working with variational quantum algorithms for machine learning
• Experience working with classical machine learning algorithms
• Basic knowledge in Python, Pytorch and TensorFlow
• Experience in working with QPUs is optional
• Familiarity with quantum information theory is optional
• Familiarity with Tensor-Network techniques is optional
• Goal-oriented, analytical and the ability to work independently
• Flexible, proactive, and creative with the ability to work in the team
• Highly motivated and resilient with the ability to work interdisciplinary
• Proficiency in written and spoken English
• Applicants must have the legal right to live and work in the European Union or Switzerland. Unfortunately, we are unable to offer visa sponsorship for this role.

Snapshot

Our team, GeminiApp, is on a mission to build a universal AI assistant that will empower billions of people. We are creating a personal, proactive, and powerful life assistant that will be used multiple times a day to increase productivity and creativity by 10 to 100-fold. Our work is shaping how humanity interacts with AI at scale.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Role

As a Data Scientist on the GeminiApp team, you are a key partner and co-creator in our product strategy while managing a growing team. You will be instrumental in building a uniquely proactive and powerful assistant by ensuring our strategic decisions are grounded in data. This is a high-impact role for a data scientist who is excited about working in a fast-paced, innovative environment and who is passionate about building user-centered experiences that will redefine our relationship with technology.

Key responsibilities:

• Partner with Verticals PM, engineering, and UX to develop data-driven product strategies
• Translate ambiguous questions into well-defined problems, design experiments, and analyze large complex datasets for insights
• Develop and implement novel, goal-oriented metrics
• Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience
• Communicate findings & recommendations to stakeholders, including executives
• Champion data-driven culture by feeding user engagement insights back into models
• Collaborate with the GenAI team on model quality and feature adoption
• Act as a technical leader for a global team, guiding junior members on complex analyses and upholding best practices to ensure high-quality, impactful work

About You

In order to set you up for success as a Data Scientist at DeepMind,  we look for the following skills and experience:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) or 2 years of experience with a Master's degree.
• 2 years of work experience identifying opportunities for business/product improvement and then defining/measuring the success of those initiatives.

In addition, the following would be an advantage: 

• A bias for action and a relentless drive to build something great. You are a resourceful and creative problem-solver, able to find innovative solutions in a fast-paced and dynamic environment. You are comfortable with ambiguity and thrive on a challenge.
• Strong business acumen and a strategic mindset. You have a proven ability to connect data-driven insights to business impact and can effectively translate business needs into data science problems.
• Deep technical expertise. You have a strong foundation in statistical modeling, machine learning, and experimental design. You are proficient in SQL and have hands-on experience with a programming language like Python or R.
• Exceptional communication and presentation skills. You can articulate complex technical concepts to both technical and non-technical audiences, including executive leadership. You are a compelling storyteller who can use data to influence decisions.
• A collaborative and influential partner. You have a track record of successfully collaborating with and influencing cross-functional teams, particularly engineering and product management, to drive data-informed decisions. You are ready to work in an environment with a shared roadmap that holds multiple teams accountable for both model quality and feature adoption.
• A commitment to user trust and privacy. You understand the importance of telling users what data is being used and why, and you are committed to providing users with granular, easy-to-understand controls over their personal information.

Application deadline: 12pm GMT 28th February 2026

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see ourApplicant and Candidate Privacy Policy.

At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.