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.

Location: This role is fully remote but must overlap with an East Africa timezone by at least 3 hours. We are unable to sponsor or take over sponsorship of employment Visas in the U.S. or U.K. at this time.

Priority Application Deadline: March 4, 2026 or until we receive a critical mass of applications

About this Role

GiveDirectly’s Fundraising team is responsible for unlocking significant, sustained funding to scale direct cash transfers globally. As we scale, our fundraising systems must become increasingly rigorous, automated, and compounding. Today, many of our core fundraising metrics and analyses require manual effort; this role will help transform that reality.

We are hiring a Senior Manager, Data (Fundraising & Marketing) to serve as the primary strategic data partner to our fundraising and marketing teams. You will combine deep fundraising context with strong technical expertise to define the right questions, establish durable source-of-truth metrics, and build leveraged data products that reduce ad hoc work over time. You will function as a senior individual contributor with significant scope and autonomy.

You will directly own significant data modeling and transformation work within the data lakehouse. You will be responsible for building the curated data models that power reporting, forecasting, and decision-making. Our data infrastructure is built on AWS and Databricks, with dashboards and visualizations in Tableau. You will primarily use SQL to query data and contribute to data pipelines, and Python notebooks for deeper analysis. 

This is a full-time, globally remote position with travel 2–3 times per year for team retreats or planning sessions.

Core Responsibilities

Data Product and Metrics Ownership

• Set vision and priorities for how data supports fundraising and marketing strategy, based on a deep understanding of GiveDirectly’s fundraising model, donor lifecycle, and growth strategy, across revenue streams
• Define, standardize, and document core fundraising and marketing KPIs (e.g., retention, LTV, revenue forecasting metrics) to drive fundraising goals 
• Design and build robust data models in the warehouse that serve as the source of truth for fundraising reporting - weekly, monthly, quarterly and annually
• Establish clear, trusted source-of-truth datasets and metric logic used consistently across Fundraising, Finance, and Leadership, continually folding learnings in to update the metrics and definitions
• Identify recurring analytical needs and convert them into scalable, automated data products
• Scope and prioritize fundraising data products in partnership with Fundraising and Marketing Data stakeholders
• Partner with data engineering on upstream data quality and pipeline improvements, while owning the downstream analytical layer
• Continuously reduce ad hoc reporting by investing in durable systems that compound in value over time

Strategic Fundraising and Marketing Analytics

• Serve as the primary data partner to fundraising and marketing leadership, informing strategy across acquisition, retention, and revenue expansion
• Build and maintain revenue forecasts and donor cohort models to guide annual planning and budget allocation
• Support channel investment decisions with clear ROI frameworks, experiment design, and performance analysis
• Proactively surface decision-relevant insights, even when questions are not fully formed

Donor & Revenue Insights

• Conduct deep-dive analyses into donor cohorts, retention drivers, churn patterns, and cost per dollar raised to drive continuous improvement on fundraising performance
• Evaluate marketing and fundraising initiatives using appropriate analytical methods (including experimentation where feasible, though not all channels support large-scale testing)
• Translate complex analyses into clear recommendations for non-technical stakeholders that drive fundraising improvements
• Surface high-leverage opportunities to improve conversion, retention, and revenue durability

Data Infrastructure & Platform Contribution

• Collaborate with data engineers and analytics peers to improve data quality, access, and trust
• Partner with the Salesforce Lead to ensure CRM data structure and integrity support accurate reporting and scalable downstream modeling
• Contribute to the long-term roadmap for fundraising data architecture, ensuring systems are designed for scalability and compounding insight generation over time
• Contribute to improvements in GiveDirectly’s data capabilities such as adopting conversational analytics
• Maintain high standards of analytical rigor, documentation, and reproducibility

Qualifications

We recognize that strong candidates may not meet every requirement listed below. If this role excites you, we encourage you to apply.

Required

• 8+ years of experience in analytics, data science, or quantitative strategy roles, including a track record of driving marketing, growth, or fundraising performance through analytics
• Strong experience setting vision and priorities for data products from significant ambiguity
• Strong systems thinking and experience designing measurement systems that compound in value and reduce recurring friction
• Advanced SQL skills and demonstrated experience building production-grade data models in a data warehouse
• Strong Python proficiency
• Experience building forecasting models (e.g., revenue, LTV, retention)
• Experimentation and performance measurement experience (e.g., A/B testing, quasi-experimental methods, ROI evaluation)
• Ability to navigate ambiguity and independently shape how data informs organizational strategy

Compensation

At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here.

Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income.

United States

• Base Salary: $129,000
• Bonus at Target Performance: 10% (~$12,900, with potential for upside. For reference, with the organization’s current performance multiplier, this amount would be $15,093 in 2025)
• Estimated Total Compensation at Target: $141,900+
• Annual Benefits Stipend: $21,393

This role is fully remote, so if you are not based in the US, we will share an estimated salary benchmark for the country you are based in during the hiring process. 

Why work at GiveDirectly?

At GiveDirectly, we work to ensure that you have everything you need to excel in your role and on your team, including:

• A positive and supportive team with opportunities for advancement
• A demonstrated commitment to helping all staff develop and grow
• A competitive salary, including bonus
• A robust health benefits plan (exact details will vary by country)
• Flexible paid time off
• Allowances for desk set-up and learning and development

 #LI-REMOTE

Location: This role is fully remote but must be available to meet with East Africa timezone by at least 2 hours a couple of times a week. We are unable to sponsor or take over sponsorship of employment Visas in the U.S. or U.K. at this time.

About this role

Technology plays a central role in how GiveDirectly delivers cash—whether that’s identifying recipients in hard-to-reach places, sending payments quickly after disasters, or powering the platforms our donors use to give.

We’re hiring a Senior Software Engineer to help build the systems behind this work. Our engineering team still operates like a startup within GiveDirectly—lean, fast-moving, and high-autonomy. You’ll lean into product thinking, help shape the roadmap, and collaborate closely across disciplines to solve real-world problems. The specific team you’ll join is still being finalized—it could be:

• Our Programs Engineering team (getting cash in the hands of people experiencing extreme poverty),
• Our Fundraising Engineering team (raising more money for recipients), or
• Our International Rapid Response team (getting cash to disaster-affected communities within 5 days of a crisis—anywhere in the world)

No matter the team, you’ll play a central role in scaling our impact: getting more money, to more people, more efficiently.

This is a hands-on role with real ownership. You’ll help shape architecture, ship production-ready code, and work side-by-side with teammates across product, data, and operations. We’re looking for someone excited to wear multiple hats, move quickly, and define what great engineering looks like in a mission-driven org

Level: Senior Software Engineer

Travel Requirement: Must be able to travel ~1-2 times per year to one of our countries of operation for team retreats or field visits.

What you’ll do:

• Design and build scalable, reliable systems that power our core operations—whether that’s donor platforms, systems that deliver payments directly to recipients, or crisis response tools reaching hundreds of thousands of people globally.
• Own end-to-end development of new features and services, from architecture through deployment and monitoring.
• Improve our developer workflows by strengthening CI/CD pipelines, reducing manual steps, and increasing test coverage.
• Collaborate with cross-functional teams (product, ops, data) to understand real-world needs and ship tools that directly support program delivery in the field.
• Debug and resolve production issues across our stack, with a focus on root cause analysis and long-term fixes.
• Advocate for sustainable engineering practices, including testing, documentation, and monitoring
• Help shape our tech roadmap with an eye toward scale, maintainability, and recipient experience

What you’ll bring:

• Exceptional alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity. We welcome and strongly encourage applications from candidates who have personal or professional experience in the low-income and/or historically marginalized communities that we serve.
• Language Requirement: English
• 4+ years of industry experience creating production-caliber software and systems
• Experience with backend architecture: databases, cloud services, APIs
• Experience building infrastructure to deploy software
• Experience with strongly-typed, object-oriented programming such as Java, C#, Go, etc. and scripting languages such as Python, Ruby, etc.
• High degree of ownership and autonomy - you proactively advocate for ways to improve systems and constantly leave our codebase in a better state than you found it
• Strong analytical skills and communication - able to break down complex problems, describe technical trade-offs, and collaborate with cross-functional partners (e.g. technical program managers, product managers)
• Bonus: Experience using Python and AWS in a production environment
• Bonus: experience with payments/financial software and/or experience with microservice/serverless architecture

Compensation

At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here.

Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income.

United States

• Base Salary: $157,500
• Bonus at Target Performance: 15% (~$23,625, with potential for upside. For reference, with the organization’s current performance multiplier, this amount would be $27,641 in 2025)
• Estimated Total Compensation at Target: $181,125+
• Annual Benefits Stipend: $21,393

United Kingdom

• Base Salary: £108,150
• Bonus at Target Performance: 15% (~£16,223, with potential for upside. For reference, with the organization’s current performance multiplier, this amount would be £18,981 in 2025)
• Estimated Total Compensation at Target: £124,373+
• Annual Benefits Stipend: £2,760

Kenya

• Base Salary: $91,500
• Bonus at Target Performance: 15% (~$13,725, with potential for upside. For reference, with the organization’s current performance multiplier, this amount would be $16,063 in 2025)
• Estimated Total Compensation at Target: $105,225+
• Annual Benefits Stipend: $8,453

This role is fully remote, so if you are not based in the US, UK or Kenya, we will share an estimated salary benchmark for the country you are based in during the hiring process. 

Why work at GiveDirectly?

At GiveDirectly, we work to ensure that you have everything you need to excel in your role and on your team, including:

• A positive and supportive team with opportunities for advancement 
• A demonstrated commitment to helping all staff develop and grow
• A competitive salary, including bonus
• A robust health benefits plan (exact details will vary by country)
• Unlimited PTO (that we encourage staff to take!)
• Desk allowance and flexible work location

About this specific hiring process

• Take-home coding assignment
• Live Coding (60 mins)
• Systems Design (60 mins)
• Project Deep Dive + Behavioral (60 mins)

*It’s possible that there will be adjustments to this interview process. Any changes will be communicated to you during the process.

About One Acre Fund

Founded in 2006, One Acre Fund equips 5.5 million smallholder farmers to make their farms more productive. Across nine countries that together are home to two-thirds of Africa's farmers, we provide high-quality farm supplies, tree seedlings, accessible credit, modern agronomic training, and a wide range of other agricultural services. On average, this model enables any farmer to increase their income and assets on supported land by more than 35 percent, while permanently improving their resilience. This is all made possible by our team of 9,000+ full-time staff, drawn from diverse backgrounds and professions. To learn more, please see our Why Work Here blog post.

About the Role

From R&D to sales to strategy to operations, the Global R&D Data Analyst has the unique opportunity to improve decision-making across all aspects of One Acre Fund’s program using many diverse data types, such as sales, yield, demographic and satellite data, to help us reach more farmers with greater impact. 

The Global R&D Data Analyst will help us reach over one million farmers by executing analyses for strategic decision-making on repayment, expansion, and other business functions, and work directly with program leaders to interpret results and make data-driven decisions. The Global R&D Data Analyst will play an integral role in shaping One Acre Fund’s data strategy, including dreaming up and executing new ways to use our data to improve our program.

Additionally, One Acre Fund has a robust agronomic and socioeconomic research program spanning all countries of operation. This role will work closely with country R&D teams to ensure all trials are executed at the highest possible standards, provide follow-up analytical support and training to team members, and support with warehousing of our agronomic data to make our research outputs accessible to external collaborators, further increasing One Acre Fund’s smallholder farmer impact across the continent.

To succeed in this role, you will need to be a strong communicator and have a solid analytical background with experience in experimental design. You will need to be comfortable interpreting ambiguous results generated with imperfect data and advising leaders on the relative risk associated with different decisions based on the results of your analysis. 

This is a deliberately hybrid role. Success requires the ability to operate effectively as:

• an experimental methodologist (trial design & causal inference),
• an applied data scientist (production analytics, geospatial methods, modelling), and
• a delivery-oriented project manager (prioritisation, documentation, coordination).

Responsibilities

Own methodological rigour and analytical quality for trials and surveys (30%):

• Design and analyse trials and surveys, including:
  • Sample size and power calculations
  • Stratification and experimental design
  • Recommend the appropriate statistical methods (e.g., hypothesis testing, regression, ANOVA/mixed models)
• Lead analysis of agronomic and product trials to estimate treatment effects and program impact
• Quality assure trial designs and analyses produced by other analysts
• Translate trial findings into clear recommendations for product design, agronomic guidance, and program strategy.

Develop scalable analytical products and decision-support tools using program, survey, and spatial data (30%):

• Build, maintain, and improve analytical pipelines and production codebases that power operational decision tools (e.g., sowing date or input recommendations), including occasional support at the production level.
• Integrate survey, MEL, and operational data with geospatial layers (soil, climate, vegetation, remote sensing) to generate localised recommendations and program targeting strategies.
• Conduct spatial and remote-sensing analyses for program design, prioritisation, and impact estimation (e.g., soil erosion modelling, site suitability analysis).
• Analyse historical trial and soil data to generate input and soil management recommendations (e.g., lime application, fertiliser rate application).
• Evaluate potential impact of alternative interventions and support pilot design, iteration, and scale decisions.
• Translate analyses into decision-ready outputs (briefs, dashboards, and memos) for non-technical stakeholders.
• Identify new, high-leverage analytical use cases that improve program reach, impact, or cost-effectiveness.

Lead impact data management and project management (~20%)

• Lead curation and standardisation of historical yield, agronomic practice, and trial datasets to enable reuse and external research collaboration.
• Own knowledge management for impact data and trials, including:
  • Central documentation of methodologies, assumptions, sample sizes, and results for all projects
  • Reusable analysis templates and reference implementations
• Manage external data requests in compliance with client data protection and confidentiality protocols.

Provide portfolio-level project management (~20%):

• Maintain project plans, priorities, and timelines
• Track dependencies and risks
• Coordinate with program and R&D stakeholders to identify potential delivery risks
• Establish durable documentation and planning systems (e.g., project roadmaps, project trackers, shared repositories).

Career Growth and Development

We have a strong culture of constant learning, and we invest in developing our people. You’ll have weekly check-ins with your manager, access to mentorship and training programs, and regular feedback on your performance. We hold career reviews every six months and set aside time to discuss your aspirations and career goals. You’ll have the opportunity to shape a growing organization and build a rewarding long-term career.

Qualifications

Across all roles, these are the general qualifications we look for. For this role specifically, you will have:

• Bachelor's Degree in one of the following fields: economics, econometrics, mathematics, or statistics
• Proficiency in R and/or Python, including working knowledge of -
• Database connectivity (e.g., PostgreSQL) to enable data retrieval, manipulation, and storage from various databases
• Interact with RESTful APIs (e.g., JSON, XML)
• Data manipulation libraries (e.g., dplyr, tidyr) for efficient data wrangling, transformation, and exploration
• Packages for data visualisation (e.g., ggplot2, lattice, plotly)
• Advanced statistical analysis and modelling (stats, lme4, survival)
• Machine learning frameworks (e.g., randomForest, xgboost, caret) for building predictive models and conducting machine learning tasks
• Packages for data manipulation and visualisation, such as numpy, pandas, and Matplotlib
• Spatial data manipulation libraries (geopandas, rasterio, shapely, GDAL)
• In-depth knowledge of statistically rigorous trial design methodologies, including RCTs, side-by-side comparisons, RCBD, and other experimental designs
• In-depth knowledge of statistically rigorous survey design methods, including random, stratified, and cluster sampling
• Knowledge of relevant meteorological, soil, and vegetation data layers and sources, their uses and limitations (e.g., iSDA, ISRIC, CHIRPS, TAMSAT, NASA, Sentinel Hub, Google Earth Engine, AWS)
• Working knowledge of agronomy, e.g., practical understanding of fertiliser nutrient compositions, plant populations, growing degree days, GxE interactions.
• Working knowledge of GIS tools such as ArcGIS and QGIS, and spatial data analysis techniques.
• Proficiency in version control, such as Git/GitHub.
• Ability to easily explain technical concepts to non-technical decision makers and grow the analytical skills of others.
• Excellent written and verbal communication skills for coordinating across teams.
• Demonstrated ability to manage multiple analytical projects in parallel, including:
• Scoping ambiguous analytical problems and translating them into deliverable plans
• Prioritising work against timelines and stakeholder needs
• Tracking progress, managing dependencies, and proactively unblocking delivery risks
• Maintaining clear documentation and project plans to ensure continuity and institutional memory

Preferred Start Date

As soon as possible

Job Location

Nairobi, Kenya or Kigali, Rwanda

Benefits

Health insurance, housing, and comprehensive benefits

Contract Duration

2 Years

Eligibility

One Acre Fund can support a work permit for this role. However, nationals of (or those with an extensive professional background and work history in) our countries of operation are preferred.

Application Deadline

10 July, 2026

Please note that we hire on a rolling basis, which means that applications are reviewed and processed on a continuous basis until a hire is made.

One Acre Fund never asks candidates to pay any money or pay for tests at any stage of the interview process. Official One Acre Fund emails will always arrive from an @oneacrefund.org address. Please report any suspicious communication here (globalhotline@oneacrefund.org), but do not send applications or application materials to this email address.

Diversity, Equity, Inclusion (DEI), and anti-racism are deeply connected to our organisation’s mission and purpose. One Acre Fund aspires to build a culture where all staff feel consistently valued, represented, and connected – so that our team can thrive as professionals, and achieve exceptional impact for the farmers we serve.

We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression. We are proud to be an equal opportunity workplace.