Analytic Learning Algorithm Research

Head of SEO and AI Visibility

Smallpdf

ABOUT US Smallpdf was founded in 2013 with one simple belief: working with documents shouldn’t be complicated. Today, we’re an industry leader in digital document solutions, trusted by millions of users across 195+ countries. We build intuitive, powerful tools that help individuals and businesses work smarter with their documents. From compressing and converting files to editing and e-signing, our platform makes complex document workflows simple, secure, and accessible. As a product-led company headquartered in Switzerland and powered by a diverse, global team of 110+ people (across the group), we combine product excellence with a strong focus on user experience, data-driven decision-making and continuous innovation. We operate at the intersection of simplicity and performance, building scalable solutions that power everyday productivity for individuals and businesses alike. Our team is driven by ownership, experimentation and a shared commitment to delivering meaningful impact at scale. ABOUT THE ROLE Smallpdf is hiring a Head of SEO to own and execute our global organic search strategy. Reporting to our new VP of Growth, the Head of SEO will manage the SEO team, set and prioritize the SEO roadmap based on expected growth in qualified traffic and new ARR, and partner closely with Product and Engineering to ship key initiatives. You’ll also help shape our organic content strategy, improve our visibility in AI search/LLMs, and build a structured experimentation program to learn quickly and drive repeatable gains. This role is for someone who can operate at both strategic and tactical levels: define direction, align stakeholders, and deliver measurable results via strong execution - including getting your hands dirty with the details. The ideal candidate is highly data-driven and analytical, but able to find creative new opportunities for organic growth. RESPONSIBILITIES * Lead Smallpdf’s global SEO program (technical, on-page, content, off-page) to grow organic visibility, relevant traffic, and new ARR from search, while improving discoverability in LLMs and AI-driven search. * Manage and mentor a team of 3-6 full-time and freelance SEO specialists. Set goals, development plans, and operating cadence (ideation, planning, execution, measurement and reviews). Foster a culture of rapid, high-quality execution and continuous learning. * Partner with the Head of Marketing to drive brand visibility in AI Search / LLMs. * Own Smallpdf’s SEO roadmap, linking priorities to: A) business outcomes (e.g. new ARR), B) SEO metrics (e.g. rankings, traffic, backlinks), and C) LLMO metrics (e.g. brand visibility, citations, mentions). * Collaborate strongly with Product and Engineering to execute our SEO roadmap. * Align stakeholders across the Leadership team, Marketing, and Product and Engineering to ensure SEO and LLMO priorities are properly understood and resourced. Report back on results with clear data, action plan, and asks. * Design, implement and iterate experiments to improve SEO performance at a rigorous pace. Build a standard operating procedure for SEO experiments including hypothesis, prioritization, measurement, rollout and reporting. * Help shape Smallpdf’s content strategy to align with SEO and LLMO opportunities. Provide input on optimizing content operations (target keywords, content templates, refresh cycles, competitive research) to expand our organic footprint while maintaining quality. * Define and track SEO KPIs, running recurring audits and monitoring to ensure we remain on-track and mitigate risk. ABOUT YOU * 6–10 years of SEO experience including technical SEO, on-page, content, and off-page (ideally 2+ years in product-led SaaS) * 2+ years leading a team, with a track record of developing high-performing SEO contributors * Strong knowledge of modern search ranking systems and quality guidelines, with a track record of maintaining performance through algorithm updates * Experience adapting SEO for AI-driven discovery (LLMO/AI search optimization) * Understanding of technical SEO and LLMO including crawling and indexation, internal linking and information architecture, performance (CWV), structured data, etc. * Strong analytical and decision-making skills, with an experimental mindset and ability to ship iteratively with constrained resources before scaling what works * Hands-on with core SEO tools (Google Search Console, Ahrefs, etc.) and comfortable collaborating with Data Analytics team as needed * Clear communicator (written and verbal), able to align stakeholders and explain tradeoffs * Ability to both “zoom out” to the level of overall company strategy and also “zoom in” to the level of tactical details, while adjusting approach quickly as needed based on data and landscape shifts * Experience in international, programmatic, and product-led SEO JOIN SMALLPDF - WHERE INNOVATION MEETS IMPACT! Becoming part of our team means more than just taking a job—it’s joining a dynamic, collaborative environment where your voice matters, your growth is championed, and your work truly makes a difference. Here, we don’t just talk about a growth mindset—we live it. You’ll thrive in a culture that balances professional ambition with personal well-being, where flexibility, creativity, and purpose come together. Whether you're shaping the future through groundbreaking projects or leveling up your skills, your journey here will be one of impact, innovation, and continuous learning. This reflects in our company values. OUR BENEFITS 🌍 You get to impact the way over 60 million people get work done every month. 🚀 Push boundaries and dare to fail—that’s how we learn! 💻 Enjoy the flexibility of a remote work environment, and meet your team occasionally to work together and strengthen the team bond. 🏝️ 30 vacation days—yep, you read that right—that you can take whenever you need them. 🧳 Need a long break? We offer sabbatical leave to employees who’ve been with us for over 2 years. 👶 16 weeks parental leave—100% of your salary—for all new parents 📚 A personal development budget of up to 2000CHF every year, plus days off for courses or training. 🤓 Internal knowledge sharing and external coaching options during your working hours to boost both your hard and soft skills. 👩‍💻 Hack days to challenge you and your team, plus build amazing things. HOW TO APPLY Please apply using the form below and upload your CV - in English, as it’s the standard working language at Smallpdf. A PDF format is preferred. COMPENSATION PHILOSOPHY At Smallpdf, we believe compensation should be fair, transparent and thoughtfully aligned with the value each person brings to our team. Our approach balances several key factors - current market trends, role expectations, seniority, experience, and geographic location - to ensure every offer is both competitive and equitable. We review our salary ranges regularly to stay in step with the evolving market, and we make decisions based on skills, impact, and responsibility rather than negotiation strength. Our goal is simple: to recognize and reward great work, support long-term growth and create a compensation structure that feels fair, consistent and grounded in integrity. We want everyone at Smallpdf to feel valued, supported and empowered to do their best work - and our compensation philosophy is designed to reflect exactly that. HIRING POLICY Smallpdf is an equal-opportunity employer, and we believe our strength comes from a team that reflects a wide range of backgrounds, identities, perspectives, and lived experiences. We welcome applicants of all genders, ethnicities, ages, abilities, orientations, and life paths. You’ll also have the option to share your pronouns and answer an anonymous demographic questionnaire when you apply. This information is completely voluntary, but it helps us stay accountable in building an inclusive and equitable hiring process. We use AI thoughtfully in our day-to-day work, but we value human curiosity, creativity, and integrity above all. We’re excited to meet candidates who bring genuine expertise, real stories, and authentic experience to the table.

Senior Data Scientist (Credit)

Moniepoint

Who we are Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month.  As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually. 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. We are seeking a data-driven, impact-oriented Senior Data Scientist to power Moniepoint’s consumer lending decisions at scale. You will build the models, experiments, and insights that shape how we acquire, underwrite, and retain millions of customers across Nigeria and Africa. This role is pivotal in driving our pricing, credit limit modelling, and credit model deployment strategy in a growing business with unparalleled opportunities to give access to millions of customers. You’ll collaborate with our amazing Consumer Credit team and drive how we think about risk ranking, product offering, and data infrastructure to create the best personalised offers for our customers. You’ll be responsible for building our first suite of credit risk models and help drive a culture of how we should think about machine learning vs more traditional methods - bringing fresh thinking to inspire both the team and our customers. Sitting at the intersection of data science, credit risk, and product, you’ll translate complex data into actionable decisions that drive growth with healthy portfolio performance. 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’ll Do * Develop and deploy credit scoring, affordability, and behavioural models to support underwriting, pricing, and collections * Design and run experiments to optimise approval rates, loss rates, and profitability * Partner with product squads to embed decision logic into real-time systems * Ensure data quality, compliance, and ethical use of models across all decisioning processes * Mentor product squads on best practices in experimentation and data-driven decision making * Provide models to optimise outcomes in collections, churn management and user retention We would love to hear from you if… * You’re comfortable with Statistics - and have a Degree or qualifications  in a quantitative field (Statistics, Mathematics, Engineering or similar) * You have +5 years of experience in data science, decision science, or risk analytics within financial services * Working knowledge of credit risk, consumer lending, and regulatory considerations * Proficiency in SQL and at least one modelling/programming language (Python, R) * Experience with A/B testing, machine learning, collections modelling and churn management * Ability to translate complex analyses into clear recommendations for business stakeholders * High ownership mindset and comfort working in fast-paced, cross-functional teams 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, monthly bonuses, plus other benefits What to expect in the hiring process * A preliminary phone call with the recruiter * A coding exercise on HackerRank - covering core data science theory (math, statistics, linear algebra) and Python fundamentals (data structures & algorithms). * A take-home assignment * A technical interview with a Lead in our Data Science Team to review your take-home assignment in depth * A behavioural and technical interview with the hiring manager Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

Senior Data Scientist (Credit)

Moniepoint

Who we are Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month.  As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually. 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. We are seeking a data-driven, impact-oriented Senior Data Scientist to power Moniepoint’s consumer lending decisions at scale. You will build the models, experiments, and insights that shape how we acquire, underwrite, and retain millions of customers across Nigeria and Africa. This role is pivotal in driving our pricing, credit limit modelling, and credit model deployment strategy in a growing business with unparalleled opportunities to give access to millions of customers. You’ll collaborate with our amazing Consumer Credit team and drive how we think about risk ranking, product offering, and data infrastructure to create the best personalised offers for our customers. You’ll be responsible for building our first suite of credit risk models and help drive a culture of how we should think about machine learning vs more traditional methods - bringing fresh thinking to inspire both the team and our customers. Sitting at the intersection of data science, credit risk, and product, you’ll translate complex data into actionable decisions that drive growth with healthy portfolio performance. 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’ll Do * Develop and deploy credit scoring, affordability, and behavioural models to support underwriting, pricing, and collections * Design and run experiments to optimise approval rates, loss rates, and profitability * Partner with product squads to embed decision logic into real-time systems * Ensure data quality, compliance, and ethical use of models across all decisioning processes * Mentor product squads on best practices in experimentation and data-driven decision making * Provide models to optimise outcomes in collections, churn management and user retention We would love to hear from you if… * You’re comfortable with Statistics - and have a Degree or qualifications  in a quantitative field (Statistics, Mathematics, Engineering or similar) * You have +5 years of experience in data science, decision science, or risk analytics within financial services * Working knowledge of credit risk, consumer lending, and regulatory considerations * Proficiency in SQL and at least one modelling/programming language (Python, R) * Experience with A/B testing, machine learning, collections modelling and churn management * Ability to translate complex analyses into clear recommendations for business stakeholders * High ownership mindset and comfort working in fast-paced, cross-functional teams 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, monthly bonuses, plus other benefits What to expect in the hiring process * A preliminary phone call with the recruiter * A coding exercise on HackerRank - covering core data science theory (math, statistics, linear algebra) and Python fundamentals (data structures & algorithms). * A take-home assignment * A technical interview with a Lead in our Data Science Team to review your take-home assignment in depth * A behavioural and technical interview with the hiring manager Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.