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.

About Us

The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide.

At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you’re given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world.

In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeing.

Your future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere.

Build a newsworthy career at the FT.

Our Commitment to Diversity, Equity and Inclusion

We believe in the power of unique perspectives and want all voices in our organisation to be heard, respected and valued. A supportive workplace is one where employees feel they can be themselves and operate to their full potential. We are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups.

FT Locations is a major division of the Financial Times Ltd, specialising in all areas relating to foreign direct investment and investment promotion. We are the largest FDI Centre of Excellence globally. Our full suite of services include: location advertising to generate brand awareness; industry-leading tools to develop FDI strategies and identify potential investors; and tailored FDI events and investor roundtables to meet target companies and generate business leads.

fDi Benchmark is the only online tool to benchmark the competitiveness of countries and cities in over 150 sectors. Its comprehensive location data series covers the main cost and quality competitiveness indicators for over 900 locations around the world.

fDi Rankings is a series of rankings and awards conducted by fDi Intelligence, focusing on the future attractiveness of various locations for inward investment.

We are seeking a Research Manager to lead the day-to-day production of fDi Benchmark and oversee data collection for fDi Rankings. This role sits within the Economics, Analysis & Insights team and is central to maintaining the integrity, quality and development of our flagship data products.

You will manage a team of researchers, ensure the accuracy and consistency of large datasets, and collaborate closely with editorial, product, and development teams. This is a hands-on role combining people leadership, data management, and analytical oversight.

Key Responsibilities

People Management

• Lead, support and develop the fDi Benchmark research team
• Provide training, coaching and regular feedback to team members
• Set and review SMART objectives on a quarterly and annual basis
• Maintain high data quality standards through team oversight and review
• Support recruitment and onboarding of new researchers

Database Management

• Manage the update schedule and ongoing maintenance of the fDi Benchmark database
• Review and validate data inputs to ensure accuracy and consistency
• Identify gaps in coverage across sectors and geographies and improve data sources
• Maintain clear and structured documentation, files and processes
• Manage relationships and agreements with external data providers
• Collaborate with development teams on system improvements and issue resolution
• Contribute to the evolution of data points and product enhancements
• Maintain data guides and be responsible for ad hoc production tasks

fDi Rankings Data Management

• Collaborate with editorial and research leadership to assess feasibility of new rankings
• Oversee timely and accurate completion of rankings data collection

Required Skills and Experience

• Master’s degree or equivalent experience in Economics, Statistics, or a related field with strong economic focus (2:1 or above)
• Minimum 12 months’ experience working with economic or FDI-related data
• Advanced Excel skills (including SUMIF, COUNTIF, VLOOKUP)
• Strong analytical, critical thinking and problem-solving abilities
• Excellent organisational and time management skills with the ability to meet deadlines
• High attention to detail and ability to review and validate others’ work
• Strong interpersonal and communication skills, with the ability to explain complex concepts clearly
• Proven track record to collaborate effectively within a team environment
• Ability to work independently and use initiative
• Demonstrable interest in economics and current affairs

Desirable

• Experience or understanding of location benchmarking
• Experience with database management
• Previous team leadership experience, including coaching and feedback

What’s in it for You?

Our benefits vary by location but we are committed to providing best-in-class perks across all our offices. These include generous annual leave, medical cover, inclusive parental leave packages, subsidised gym memberships and opportunities to give back to the community. Full details of our benefits are available here.

We’ve embraced a 50% hybrid working model (averaging two to three days onsite) that fosters trust and remote adaptability while encouraging in-person camaraderie and peer learning. Additionally, we are open to accommodating specific flexible working pattern requests for all roles where feasible.

Accessibility

We are a disability confident employer and Valuable 500 signatory.

Please let us know if you require any reasonable adjustments/personalisation as part of the application process or to enable you to attend an interview. If you would like to discuss your requirements or have any questions, please email talent@ft.com and a member of our team will be happy to help.

Further Information

At the FT, we embrace innovation and the use of technology and appreciate that individuals may leverage AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is essential that all information provided is authentic and accurately represents your skills, experience, and qualifications.
Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all.
Please beware of fraudulent job postings and offers claiming to be from the Financial Times. All legitimate opportunities will direct you to apply through the official Financial Times careers site, and the FT will never ask for financial information, payments, or referrals to third parties during the hiring process. If you have any concerns about the legitimacy of a job posting or suspect any scam activity, please contact talent@ft.com.

Interested in the FT but don’t see the right role yet? Join our Talent Community to receive exclusive updates, featured jobs, and insights into working at the FT.

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The Role

We are looking for a Sales Analyst to join our growing global team. Sitting at the intersection of data, process, and people, you will play a key role in turning complex revenue data into clear insights, removing operational friction across our go-to-market (GTM) teams, and helping build the systems and cadences that drive predictable, scalable growth. This is a role for someone who thrives in ambiguity, brings structure to complexity, and wants to make a meaningful impact across Sales, Marketing, and Customer Success.

Responsibilities

The Data Science group serves under the Black Duck Data Engineering organization as a center of excellence in data analysis, statistical interpretation, machine learning engineering, attribution analysis and operational metric review.

Our core purview is the application of historical data to drive future decision making, and to develop and maintain machine learning and analytical tools to improve service delivery and advise operational processes.

We also serve as mediators of meaning across Black Duck, and as custodians of a shared data ecosystem.

This ecosystem serves to empower data consumers to explore client-operational and service-ops data in more intuitive ways, and supports their ability to share and collaborate on best practices for using this data in truthful, responsible, ethical and efficient ways.

Our Values

• Trust: Our work has no value if it is not trusted by our colleagues/customers, or if our work is not respectable. We will always rather be late than incorrect.
• Collaboration: We have a “very specific set of skills”, however we should humbly respect the subject matter experts we work with in their fields of expertise; we’re experts shuffling bits around faster/better/smarter, but they do the real work.
• Results: For our work to have value, it must speed up, augment, or replace, a current decision making process, or to demonstrate a new product/operational opportunity. While the “value” of a result may not be known for a long time, we are still outcome-driven.
• Curiosity: Exploration and Experimentation is at the heart of what we do, and we empower each other with the freedom to explore, and possibly get lost in, longer term research projects than other groups. However, even those dead ends have value when they’re written up. (It’s not science unless you write it down)
• Fun: We’re in this business because we enjoy the strange and often incongruous world of data, and what that data can tell us about ourselves. Revel in the comedy of your mistakes and discoveries, and share them with abandon.

About the Role

As a Data Engineer/Scientist, you will be a custodian of our cross-functional data regime, and a driver of innovative uses of Data across our cybersecurity platforms, ranging from predictive analytics and customer behavioural analysis, through to training customised machine learning

models on continuously evolving feedback streams from data and decisions that really matter to our thousands of customers that rely on our security assessments for safety, stability, and often, sleep.

The ideal candidate is a self-starter who is enthusiastic about exploring new technologies. They also enjoy helping their peers and their organization remain at the forefront of our industry by identifying and helping implement the latest industry best-practices that boost our organization’s productivity and team members’ experience.

The role is primarily based around our Belfast R&D Site, but UK/EMEA remote or hybrid applicants will be considered. At least Quarterly travel to the Belfast R&D Site is expected, and additional travel / conference opportunities may be available depending on your impact and collaboration.

Key Responsibilities:

• Developing and maintaining analytical data pipelines from a range of sources, internal and external
• Participate in system design discussions and contribute to architectural decisions.
• Evaluating new analytical / technological opportunities for leveraging those data for security/business impact
• Leading projects from research through to production deployment and operational handover to appropriate teams
• Partnering with R&D and Engineering teams to develop and share best practices for data tooling, from pipelines and dashboards to ML and LLM integration

Key Qualifications:

• 5+ years of experience working in Data Science, AI/Data Engineering, Data Operations, DevOps, Business Analytics, or a related field
• BSc Or MSc in Computer Science, Data Science, Artificial Intelligence, Math, Physics, Engineering or related field/degree
• Experience in a relevant analytical programming language the point where you can build / deliver a project/module from scratch that can be used by others (Python is our main daily-driver, expert-level experience in Julia or Rlang could be accepted
•  Experience in Jupyter Notebook / equivalents
• Experience in Airflow, DBT, Databricks, or equivalent stacks
• Experience in the PyData / Spark or equivalent analytical stacks
• Familiarity with Cybersecurity Governance, Application Security Testing, Quality Assurance or similar
• Experience in data modelling and working with RDBMS (PostgreSQL, Oracle or MySQL) and knowledge of NoSQL databases (e.g. MongoDB)
• Experience with Machine Learning and AI systems
• Hands-on experience with AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor, or similar)
• Independent project operation and cross-functional collaboration
• Strong or Developing communication skills (in-person and remote)

Nice to have:

• Familiarity with Data Mesh/Data Product concepts
• Experience in operating in Linux Command line environments
• Experience in Langchain or equivalent Agentic development stack
• Experience in training custom Machine Learning models, including familiarity with evaluation criteria and metric design
• Experience in integrating AI capabilities into software systems, including prompt engineering, API integration, and leveraging LLM-based services for automation and productivity
• Experience in Enterprise Data Visualisation such as Power BI, Tableau, Grafana, DataBricks, Snowflake etc.
• Experience deploying ML/AI models in production environments/workloads
• Experience in developing/working within large enterprise applications using microservices architecture, and container orchestration technologies, running on Kubernetes and/or cloud technologies (AWS, Azure or GCP)
• Experience in software architecture, systems design, interaction design (to the point where you can have constructive conversations with security / architecture leaders)