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.

Who We Are - About NewGlobe

NewGlobe is working with visionary governments around the world to dramatically improve the quality of basic education. Founded in 2007, we partner with governments to provide integrated school management, teacher professional development, instructional design innovation, technological system support, child-centered classroom practice, and parent engagement -- all grounded in learning science -- to ensure each teacher is empowered to engage children in transformational learning, Our data-driven approach has been validated by a Nobel-winning researcher and recognition by international leaders in Education. We imagine a world where all children can access an education that unlocks their full potential.

We need bright minds who want to be part of building a new globe -- a more equitable globe -- to join us. More information: newglobe.education

Technology Group

Technology plays a critical role enabling us to provide transformative education at massive scale in highly resource constrained environments. This is one of the key elements that gives us the ability to deliver radically impactful programmes, creating brighter futures for a generation of children across the world each day. Technology spans several key functions, including product management, business intelligence, software development and IT operations.Working with us, passionate technologists have a chance to directly change the world.

About the Role

We have reached an inflection point where we need to take our data game to the next level. Instead of just providing data to our various departments, we need to start bringing to bear more sophisticated techniques to unlock the potential of our significant data sets. While we collect hundreds of thousands of data points every day from each of our programmes – from the time each teacher spends on each page of every lesson to every pupil’s answer to every question of every assessment – we are yet to fully realise the potential energy of these data sets. 

On a technical level, this shift means moving beyond traditional approaches to data engineering, replacing ETL batch processing and data warehousing with event-driven real-time data pipelines and a distributed data mesh; on an organisational level, it means reimagining business intelligence as a skill set embedded in our cross-functional delivery teams, not as a separate team with separate priorities and timelines. And it also means transforming the ways that we expose the data to our users, providing richer, more actionable interfaces.

The Senior Engineer will help to lead the charge on this transformation, bringing experience to bear, both on the systems themselves, as well as mentoring and developing other team members.

This role reports to the Business Intelligence Lead, but will routinely be embedded in cross-functional delivery teams, working collaboratively to deliver our next generation data products.

What You Will Do 

• Build next generation event-driven data processing pipelines that cleanse, enrich, and aggregate a range of different data sets as part of a globally distributed and cross-functional software development organisation
• Deploy these data pipelines in line with continuous delivery practices and principles
• Improve the scalability, stability, accuracy, and efficiency of our existing data platform - it’s not all just green field!
• Develop and mentor other members of the business intelligence department
• Monitor our data platforms in order to identify and resolve issues and ensure high-availability of data insights
• Communicate with stakeholders to develop requirements, implement solutions, and collaborate on rollouts

What You Should Have

• 5+ years of enterprise work experience in business intelligence, data engineering, and advanced analytics
• 2+ years of commercial, enterprise experience building data pipelines using Apache Spark and Python (future platform). Familiarity using these tools to consume data from RabbitMQ or Kafka is a plus.
• Experience with one or more types of NoSQL databases and data lakes
• Comfort with version control and continuous delivery
• Familiarity with relational databases, ETL, and reporting tools. Preference for Microsoft technologies (we currently use Microsoft SQL Server 2016/2019, SSIS, and SSRS)
• Fluency with warehouse design and dimension modelling (star schemas, snowflakes, etc)
• Experience or interest in results-driven, lean/agile environments
• Basic DBA skills
• Ability to prioritize and execute tasks in a fast-paced environment

What We Offer

• The opportunity to make a difference for children every day at a proven, internationally recognized, mission-driven company.
• Flexible hybrid working arrangement.
• Take the lead and help us grow our engineering team
• The opportunity to work on challenging and innovative projects

Values of Successful Employees at NewGlobe

We are looking for new joiners who are energized by our mission and share our values. 

Detailed doers, creative problem-solvers, relentless advocates,  malleable learners, data-driven decision-makers and curious investigators do well at NewGlobe. Learn more about our values and how to succeed as a job-seeker at NewGlobe on our LinkedIn page.

What to Expect from the Interview Process

We have a rigorous, merit based hiring process. The process is designed to simulate the essential parts of the job and introduce you to your role in the business should you join our team. Apply via our website.

We will never ask for payment as part of the interview process and we are committed to a fair process free of discrimination based on gender, race, ethnicity, citizenship or disability. 

Who we are

Moniepoint Inc. is Africa’s all-in-one financial ecosystem, helping 10 million businesses and individuals access seamless payments, banking, credit, and business management tools since 2019.

As Nigeria’s largest merchant acquirer, it powers most of the country’s Point of Sale (POS) transactions. Through its subsidiaries, Moniepoint Inc. processes $22 billion monthly for its customers while operating profitably.

About the role : 

At Moniepoint, data is at the core of everything we do. We are a customer-centric company, and your work will enable our teams to make informed, data-driven decisions that directly impact the success of our business. As a Data Engineering Lead, you will help craft robust, scalable systems that support our business intelligence and data-driven operations. We value leaders who are not only technically adept but also excited about mentoring others and pushing the boundaries of what’s possible with data.

Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.

What you will get to do

• Build and maintain robust data pipelines processing large volumes of data
• Analysis of large data sets using tools such as Python & SQL
• Update and optimize our data platform for speed, scalability and cost
• Coordinate with different functional teams to understand and meet their data needs
• Develop processes and tools to monitor and analyze model performance and data accuracy
• Solve general data-related problems
• Setting up new pipelines for the full stream/enrichment/curation process
• Upkeep of source code locations
• Investigating and utilising ML & AI to improve the cloud offering
• Development of junior staff members 

To succeed in this role, you should have

• Proven experience as a Data Engineer (5+ years, can be made up for with accomplishments)
• Strong problem solving skills
• Advanced proficiency with SQL
• Proficiency with Python
• Experience with cloud platforms (e.g. Google Cloud, AWS, Azure)
• Experience using version control tools such as git
• Excellent written and verbal communication skills
• A drive to learn and master new technologies and techniques
• A bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field

Experience with the following would be a plus

• Data governance
• Building and deploying machine learning models
• Terraform or other infrastructure as code tools

What we can offer you

• Culture - We put our people first and prioritize the well-being of every team member. We have built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

What to expect in the hiring process

• A preliminary phone call with the recruiter
• A take-home assessment 
• A technical interview with a Lead in our Engineering Team
• A behavioural and technical interview with a member of the Executive team. 

Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

About Moniepoint

Everyone has a dream, and achieving that is key to their happiness. Moniepoint Inc is on a mission to provide financial happiness for people of the world by powering the dreams of businesses, their employees and customers. Since 2015, we have grown to 1500 employees and process over $100 billion annually for 1.8 million merchants through our all-in-one digital financial services platform. Moniepoint Inc through its subsidiaries which include Moniepoint MFB and TeamApt ltd offers payments, banking, credit and business management tools. We currently process the majority of the POS transactions in Nigeria and are Africa’s second-fastest-growing fintech.

Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.

About the role

At Moniepoint, data is the lifeblood of our financial operating system. The Head of Data Governance is a senior leadership role responsible for ensuring that this lifeblood is high-quality, secure, and accessible. You will architect and champion the enterprise-wide data governance framework, transforming how 13 million+ people’s data is managed and protected.
Reporting to the Head of Enterprise Data, you aren't just a policy writer; you are a cultural catalyst. You will lead a "virtual team" of Data Stewards across the company, ensuring that while they sit within diverse units like Finance or Sales, they operate with a unified, gold-standard approach to data accountability.

About You

The Architect: You don't just see data; you see the structures that make it reliable. You enjoy building blueprints that balance strict compliance with the speed required by a fast-growing fintech.
The Influencer: You excel in a "Hub and Spoke" model. You can lead and inspire teams that don’t report to you directly, turning departmental data stewards into a cohesive community.
The Tech-Fluent Leader: You speak "Engineering" as well as you speak "Business." You understand how to automate governance so it becomes a feature of the workflow, not a bottleneck.
Ethical Guardian: You are passionate about data privacy (GDPR/NDPR) and believe that responsible data management is a competitive advantage, not just a regulatory chore.

What you will get to do:

1. Strategic Leadership & Framework Design

• Governance Roadmap: Develop and execute a long-term strategy that aligns with Moniepoint’s mission to build the financial OS for emerging markets.
• Policy & Standards: Author and maintain global policies (Privacy, Retention, Naming Conventions) that are clear, actionable, and "Regular Guy" friendly.
• Operating Model: Define our domain-driven structure and clarify data ownership across the company to eliminate ambiguity.

2. Functional Leadership of the Stewardship Team

• Orchestration: Direct the strategic priorities of Business Unit Data Stewards, ensuring they have the tools and training to succeed.
• Community Building: Create a "Data Governance Academy" to onboard, certify, and mentor stewards across the organization.
• KPI Alignment: Set the functional goals that define what "good" looks like for data quality within each business unit.

3. Tech Stack & Automation Ownership

• Platform Strategy: Select and manage our governance platforms (e.g., Atlan, Collibra, or Microsoft Purview), ensuring they integrate seamlessly with our data lake.
• Metamodel Design: Configure tools to link business terms to physical technical assets, creating a transparent data lineage.
• Governance-as-Code: Partner with Data Engineering to automate quality checks and PII masking within the CI/CD pipeline.

4. Risk, Compliance & Culture

• Enterprise DQ Reporting: Build "Data Health Dashboards" for the Executive team to provide visibility into our data reliability.
• Change Management: Lead the cultural shift from "data is IT’s problem" to "data is a strategic business asset."
• Literacy Programs: Develop workshops to empower non-technical staff to read, interpret, and respect data.

Qualifications:

• Experience: 9+ years of leadership experience in Data Governance, Data Engineering, or Data Strategy within a high-growth environment.
• Technical Proficiency: Advanced SQL and Python skills are essential. You should be comfortable auditing a data platform directly and working with APIs for automation.
• Framework Expertise: Deep knowledge of modern data architectures (Data Mesh, Data Vault 2.0) and how to apply governance within them.
• Regulatory Knowledge: Intimate familiarity with NDPR, GDPR, and fintech-specific data regulations.
• Education: A Bachelor degree in Computer Science, Engineering, Mathematics, or a related quantitative field (or equivalent practical experience).

What Success Looks Like

• Initial 6 Months: A defined Data Governance roadmap is approved, and the first "Data Health Dashboard" is live for critical data elements.
• The 1-Year Mark: Every major business unit has a certified Data Steward, and automated lineage is active for our core financial products.
• Culture: Data Governance is no longer viewed as a "blocker" but as the foundation that allows our product teams to build faster and safer.
  

What we can offer you

• Culture - We put our people first and prioritise the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

What to expect in the hiring process

• A preliminary phone call with the recruiter
• A technical panel interview with Department Leads
• Technical take-home assessment
• A behavioral and technical interview with a member of the Executive team
• All interviews stages are Virtual

Technical Financial Crime Manager

About Paystack

Over the past nine years, Paystack has established itself as a pioneer in African fintech with a mission to help merchants get paid by anyone, anywhere in the world. Processing over $300 million in monthly transactions, our modern payments infrastructure supports tens of thousands of notable corporations, including MTN, Bolt, and Domino’s Pizza.

As we enter a phase of accelerated growth, we are seeking a Technical Financial Crime Manager to own, design, and scale our fraud and AML detection capabilities. This role sits at the intersection of data, engineering, and financial crime operations, with end-to-end accountability for ensuring our monitoring systems are technically robust, domain-accurate, and scalable across multiple markets.

This is a hands-on technical leadership role. You will define detection logic, guide system design, and directly influence how financial crime risk is identified and managed at Paystack, while also leading and developing high-performing fraud and AML teams.

What You’ll Do

As the Technical Financial Crime Manager, you will run the day-to-day fraud and AML detection stack; from data and rules to operational outcomes. You will combine deep technical expertise with financial crime domain knowledge to design effective monitoring systems, manage domain specialists, and ensure Paystack remains a safe, trusted payments platform.

You will be accountable for:

• The technical quality and effectiveness of fraud & AML monitoring logic
• The operating model and performance of Financial Crime Monitoring teams

Translating risk, regulatory, and business requirements into scalable detection systems

Key Responsibilities

Technical Ownership of Detection & Monitoring

• Define, build, test, and optimise fraud and AML detection rules, scenarios, thresholds, and models used in production systems.
• Translate complex datasets and domain insights into actionable detection logic embedded in monitoring and alerting platforms.
• Establish feedback loops between investigation outcomes and detection logic to continuously improve signal quality.
• Measure and manage detection performance using quantitative metrics (precision, recall, false positives, alert-to-case conversion, loss metrics).

Maintain structured, auditable documentation of rules, logic, assumptions, and changes.

Data Analysis, Modelling & Insights

• Analyse large, complex transactional and behavioural datasets to identify emerging fraud and AML risks across markets.
• Design and implement statistical models, machine learning approaches, and/or time-series analysis to enhance detection capabilities.
• Build and own dashboards and reporting frameworks tracking KPIs, SLAs, alert quality, investigator productivity, and risk outcomes.

Conduct trend analysis, root cause analysis, and deep dives on losses, typologies, and control gaps.

Financial Crime Oversight

• Own the end-to-end fraud and AML detection domain, ensuring alignment between prevention, detection, investigation, and remediation.
• Apply deep understanding of fraud typologies, AML/CTF risks, sanctions, and regulatory expectations to detection design.
• Manage the Fraud and AML operational teams (specialists and first-line managers) to ensure adequate coverage, capability and day-to-day execution. 
• Translate regulatory, partner, and audit requirements into scalable technical and operational controls.
• Stay ahead of evolving financial crime patterns, market-specific risks, and regulatory developments across Paystack’s footprint.

Tooling, Automation & Scale

• Partner with Product and Engineering to embed detection logic into core systems and improve monitoring, alerting, and case management tooling.
• Drive automation initiatives to reduce manual effort, improve consistency, and enable scale without compromising control quality.
• Identify and prioritise enhancements to monitoring platforms, workflows, and data pipelines.
• Ensure fraud and AML tooling evolves in line with transaction growth, new products, and new markets.

Operational Excellence

• Build and continuously improve operational processes, SLAs, KPIs, and quality frameworks across Fraud and AML teams.
• Use data and metrics to manage performance, capacity, and outcomes, ensuring teams operate efficiently and effectively.
• Identify gaps, risks, and inefficiencies, leading initiatives to strengthen controls and scale operations sustainably.
• Balance speed, quality, regulatory expectations, and customer experience in day-to-day decision-making.

Cross-Functional & Executive Collaboration

• Work closely with Product, Engineering, Data, Risk, Compliance, Legal, and Customer Operations. 
• Influence roadmap priorities related to fraud, AML, and financial crime tooling.
• Provide clear updates to senior stakeholders on operational performance, risks, and emerging issues

Support audits, partner reviews, and regulatory engagements as a subject matter expert.

Who We’re Looking For

Required 

• 7+ years in financial crime roles in payments, fintech, banking, or financial services.
• Strong technical expertise in data analysis, including advanced SQL and experience working with large, complex datasets.
• Expert Python skills, including experience with libraries such as pandas, NumPy, scikit-learn, statsmodels, and/or model pipelines.
• Proven experience designing, building, and tuning risk detection systems (fraud, AML, or similar).
• Solid understanding of statistical modelling, machine learning, and/or time-series forecasting, with experience deploying models into production or operational workflows.
• Ability to translate data insights into operational detection logic used by investigators and automated systems.
• Experience measuring and optimising detection performance using quantitative metrics.

Strong systems thinking: able to design scalable, maintainable monitoring frameworks rather than one-off rules.

• Deep understanding of financial crime typologies, fraud patterns, AML/CTF requirements, and regulatory obligations.
• Experience operating within fraud, AML, risk, or compliance functions in payments, fintech, or financial services.
• Proven experience leading and developing teams, including setting direction, coaching, and performance management.
• Ability to balance technical depth with practical operational decision-making.
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

High ownership mindset and comfort operating in ambiguous, high-growth environments.

Preferred

• Experience with dbt and modern analytics stacks.
• Experience with version control systems (GitHub).
• Experience with AI-assisted tooling or advanced analytics platforms.
• Familiarity with monitoring platforms, alerting systems, transaction screening, and case management tools.
• Experience working with OLTP (MySQL/PostgreSQL/SQL Server), OLAP (Redshift/BigQuery/Snowflake), and NoSQL (MongoDB) databases.
• Industry certifications such as ACAMS, ICA, CFE, CFCS, or similar.

Why This Role Matters

This role is foundational to Paystack’s ability to scale safely. You will define how financial crime detection works at Paystack, combining strong technical systems with sound domain judgment. Success in this role directly protects customers, merchants, partners, and the broader financial ecosystem while enabling Paystack’s continued growth across Africa and beyond.

This role is open to candidates based in Nigeria, Ghana, Kenya, or South Africa

Who we are

Moniepoint is an all-in-one financial services platform for emerging markets and the second-fastest growing company in Africa.
Since 2019, Moniepoint’s technology has powered over 3 million people, offering personal and business banking, payment, credit and business management tools to help them succeed. Moniepoint processed $182 billion in 2023, and currently processes the majority of the POS transactions in Nigeria. 

Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.

Job Summary
We are seeking an SRE Team Lead to guide a squad of site reliability engineers responsible for the reliability of our highly distributed financial platform.You will be designing high-level reliability architecture, while also mentoring engineers, defining the technical roadmap, and driving the culture of Site Reliability Engineering within a team. You will balance strategic leadership with deep technical work to ensure our systems and our people can scale linearly with our hyper-growth.

Responsibilities

• Set the technical direction for the SRE team. Architect self-healing systems, define reliability standards (Production Readiness Reviews), and drive the adoption of observability as Code and automation best practices.
  
  
• Define and enforce the end-to-end standard for system visibility. You will guide teams to deeply instrument their code (logging, tracing, metrics) and govern the monitoring ecosystem to ensure alerts are actionable, strictly minimizing noise (alert fatigue) while maximizing our ability to detect and resolve issues proactively.
  
  
• Lead, mentor, and grow a team of Senior and Associate SREs. Conduct code reviews, facilitate technical workshops and foster a culture of engineering excellence.
  
  
• Act as the ultimate escalation point for major incidents. Beyond firefighting, you will refine the Incident management process, ensuring the process is efficient and that RCAs lead to actionable engineering fixes.
  
  
•  Partner with Engineering Managers and Product Leads to define Service Level Objectives (SLOs) that align with business goals. 

Requirements

• Minimum of 5 years of experience in SRE or Backend Engineering, with at least 2 years in a Lead or Senior/Staff role mentoring others.
  
  
• Expert-level proficiency in Java, Go, Rust, or Python. You set the standard for code quality within the team.
  
  
• Mastery of distributed systems patterns. You can design scalable architectures, debug complex microservices interactions, and explain architectural trade-offs to stakeholders.
  
  
• Deep expertise with Google Cloud Platform (GCP) or AWS.  You have extensive experience running Kubernetes (GKE) at scale and troubleshooting deep infrastructure issues.
  
  
• Proven experience defining observability strategies for large teams. You have deep expertise in architecting the complete telemetry stack: from custom instrumentation to monitoring and actionable alerting.
  
  
• Strong communication skills with the ability to de-escalate high-pressure war rooms with calm authority.

What we can offer you

• Culture - We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

What to expect in the hiring process

• A preliminary phone call with the recruiter
• A technical interview with the Hiring Manager
• A behavioural and technical interview with a member of the Executive team. 

Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.