Вакансии

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Decisions Orchestration owns key moments in Affirm’s checkout flow, from the screens shoppers see to the behind-the-scenes downstream orchestration and state management that power them. We’re looking for a Staff Software Engineer, Frontend, to set the technical direction for this space. You’ll lead the design of the next generation of Affirm’s checkout experience and raise the bar for frontend engineering across our core checkout flows. Your goal will be to make checkout fast, clear, and reliable. What you'll do You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What we look for You have 8+ years of experience of developing and architecting web applications using declarative UI frameworks like React or Vue. You are proficient in working with Javascript/Typescript. You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - P Equity Grade - Canada 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) CAN base pay range per year: $181,000 - $241,000 This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Decisions Orchestration owns key moments in Affirm’s checkout flow, from the screens shoppers see to the behind-the-scenes downstream orchestration and state management that power them. We’re looking for a Staff Software Engineer, Frontend, to set the technical direction for this space. You’ll lead the design of the next generation of Affirm’s checkout experience and raise the bar for frontend engineering across our core checkout flows. Your goal will be to make checkout fast, clear, and reliable. What you'll do You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What we look for You have 8+ years of experience of developing and architecting web applications using declarative UI frameworks like React or Vue. You are proficient in working with Javascript/Typescript. You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - P Equity Grade - USA 13 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT): $230,000 - $290,000 USA base pay range (all other U.S. states): $204,000 - $264,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Ищем сильного ML Researcher уровня Senior / Staff для сложной исследовательской задачи на стыке probabilistic ML, sequential decision making и моделирования поведения агентов.

Location: United States; United Kingdom (Hybrid) Workplace: Remote Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM 👥 Here at Cleo we have team of ~135 member in our Credit Pillar. This function brings together several specialisms, all working toward managing portfolio performance; designing the systems, models, and controls that make lending sustainable. They drive to build and grow a portfolio of responsible EWA & Pay Later products that can scale across markets while protecting users from high cost debt trap. About The Role ✍️ We’re hiring a hands-on Lead Product Manager to drive Cleo’s Pay Later risk decisioning roadmap. You’ll build the risk models, credit limits and policies that decide who qualifies for Pay Later and how much credit they get, leading a cross-functional squad across Engineering, ML and Risk. Key Responsibilities - Improve our risk models, taking them through approval, testing and rollout - Set credit limits and pricing policy, including new risk grids and spending power rules - Own our bureau data partnership (TransUnion) - what data we collect, when, and how it feeds our models - Spot and fix gaps in our data and reporting, working with central data teams - Build solutions to catch fraud within Pay Later WHAT WE'RE LOOKING FOR 🕵️ - Deep, hands-on experience in fintech risk, credit or underwriting - model-literate across the full ML lifecycle, from discovery to deployment - Proven record of moving business metrics (not just feature-level metrics) on a fast-scaling product - Comfort owning ambiguity - working with limited data, unproven models and pending approvals, and making the trade-offs between pricing, limits and credit risk - Strong data fluency - runs A/B tests, writes SQL, and translates data into compelling stories - Deep understanding of US consumer finance regulation (e.g. Reg Z, Reg B), with experience working alongside legal, compliance and banking partners WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Affirm, Inc. proudly includes Affirm, PayBright, and Returnly. We are looking for a Staff Engineer to lead projects and initiatives on the Fraud Decisioning team. You’ll be responsible for building tools and systems that empower Affirm fraud fighting capabilities, work with cross-functional teams to adopt and monitor those and use analytics and data driven decisions to further improve the performance and quality of fraud deciders. Our mission is to drive growth while protecting Affirm, buyers, and merchants. We achieve this by leveraging data to evaluate risk at critical points in the user journey, adapting to the ever-changing fraud landscape, and by introducing new fraud-fighting capabilities.. What You’ll Do Work across the org to plan and execute large, cross-functional initiatives, including: project definition, technical specification, task break-down, delivery, monitoring, and maintenance. Generate simple and elegant designs that are easily deployed and debugged, but anticipate the unhappy path. Write high-quality code that can be easily understood and leveraged by others. Review others’ work and provide constructive feedback in order to maintain high and consistent quality standards across teams. Lead and mentor engineers to help them succeed and grow. Provide the right context to engineers and train them to take ownership of their respective pieces of the initiative. Effectively incorporate needs and opinions from stakeholders, advocate for ideas and initiatives, and create a common understanding where all voices are heard. Conduct technical and soft skill evaluations to inform and influence the hiring decisions. Develop and review the technical content and requirements of the interview process. What We Look For 6-10+ years of experience as a software engineer with leadership responsibilities and experience mentoring junior engineers Prior experience architecting, building, launching, coding and maintaining complex systems Passion for working with cross-functional teams including Product, ML,Analytics and Business teams A technical leader and team builder who can mentor the team in software development best practices Expert at synthesizing complex business, product, and technical requirements to consistently produce high quality system designs and software A system architect who can see the big picture and envision how business and product requirements can be broken up into system modules or components DOT NOT DELETE OR FILL OUT THE INFORMATION BELOW: USA Pacific base pay range (CA, WA, NY, NJ, CT): $X - $X [DELETE IF NOT APPLICABLE TO ROLE] USA Sapphire base pay range (all other U.S. states): $X - $X [DELETE IF NOT APPLICABLE TO ROLE] USA Navy base pay range (all other U.S. states): $X - $X The above for non-commission based roles or the below for commission based… USA Pacific OTE (CA, WA, NY, NJ, CT): $X - $X USA Sapphire OTE (all other U.S. states): $X - $X [ONLY KEEP THIS IF WE DO NOT SPONSOR THE ROLE] Please note that visa sponsorship is not available for this position. [REMOVE IF POSTING IS NOT REMOTE] LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Affirm, Inc. proudly includes Affirm, PayBright, and Returnly. We are looking for a Staff Engineer to lead projects and initiatives on the Fraud Decisioning team. You’ll be responsible for building tools and systems that empower Affirm fraud fighting capabilities, work with cross-functional teams to adopt and monitor those and use analytics and data driven decisions to further improve the performance and quality of fraud deciders. Our mission is to drive growth while protecting Affirm, buyers, and merchants. We achieve this by leveraging data to evaluate risk at critical points in the user journey, adapting to the ever-changing fraud landscape, and by introducing new fraud-fighting capabilities.. What You’ll Do Work across the org to plan and execute large, cross-functional initiatives, including: project definition, technical specification, task break-down, delivery, monitoring, and maintenance. Generate simple and elegant designs that are easily deployed and debugged, but anticipate the unhappy path. Write high-quality code that can be easily understood and leveraged by others. Review others’ work and provide constructive feedback in order to maintain high and consistent quality standards across teams. Lead and mentor engineers to help them succeed and grow. Provide the right context to engineers and train them to take ownership of their respective pieces of the initiative. Effectively incorporate needs and opinions from stakeholders, advocate for ideas and initiatives, and create a common understanding where all voices are heard. Conduct technical and soft skill evaluations to inform and influence the hiring decisions. Develop and review the technical content and requirements of the interview process. What We Look For 6-10+ years of experience as a software engineer with leadership responsibilities and experience mentoring junior engineers Prior experience architecting, building, launching, coding and maintaining complex systems Passion for working with cross-functional teams including Product, ML,Analytics and Business teams A technical leader and team builder who can mentor the team in software development best practices Expert at synthesizing complex business, product, and technical requirements to consistently produce high quality system designs and software A system architect who can see the big picture and envision how business and product requirements can be broken up into system modules or components DOT NOT DELETE OR FILL OUT THE INFORMATION BELOW: USA Pacific base pay range (CA, WA, NY, NJ, CT): $X - $X [DELETE IF NOT APPLICABLE TO ROLE] USA Sapphire base pay range (all other U.S. states): $X - $X [DELETE IF NOT APPLICABLE TO ROLE] USA Navy base pay range (all other U.S. states): $X - $X The above for non-commission based roles or the below for commission based… USA Pacific OTE (CA, WA, NY, NJ, CT): $X - $X USA Sapphire OTE (all other U.S. states): $X - $X [ONLY KEEP THIS IF WE DO NOT SPONSOR THE ROLE] Please note that visa sponsorship is not available for this position. [REMOVE IF POSTING IS NOT REMOTE] LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Задачи: — Решать сложную исследовательскую задачу на стыке probabilistic ML, sequential decision making и моделирования поведения агентов. — Моделировать поведение участников в стохастической многоагентной среде с частичной наблюдаемостью и использовать эти прогнозы для принятия решений в условиях неопределённости и ограниченного inference budget. — Проводить эксперименты и доказывать, почему новый подход лучше сильного baseline. Требования: — Опыт самостоятельной разработки или существенного улучшения ML/математических методов. — Умение работать с неопределённостью. — Опыт в одном или нескольких направлениях: RL / sequential decision making / POMDP / world models; probabilistic & Bayesian ML, latent-variable models, uncertainty estimation; behavior / opponent modeling, multi-agent systems; off-policy evaluation, importance sampling, doubly robust estimation, variance reduction; Monte Carlo / Markov models / stochastic optimization; algorithmic trading / HFT / pricing / decision systems с реальными ограничениями на latency. — Сильная математическая база, опыт собственных R&D-разработок и публикации либо сильный applied research опыт. — PhD будет плюсом, но не обязателен. — Важна способность подробно разбирать свой проект: проблема → baseline → ваша идея → альтернативы → эксперимент → измеримый результат. Условия: — Формат работы: remote. — Контракт от 3 месяцев. — Приоритетно full-time, но возможен part-time для сильных кандидатов. — Данные и вычислительная инфраструктура предоставлены, высокая исследовательская свобода. Стек для прототипирования: Python, PyTorch.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm’s Identity team is mission-critical to the customer checkout experience. When a customer chooses Affirm, one of the first steps is an identity check, and our ability to make the right decision directly impacts conversion, revenue, fraud exposure, and regulatory compliance. Our team owns Identity for all markets outside North America, playing a key role in Affirm’s international expansion. We are responsible for KYC, user lifecycle management, and identity decisioning across multiple regulatory environments. This work is about shaping how Affirm adapts its core Identity platform to new market dynamics, customer expectations, and compliance requirements. What you'll do You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, polcities, testing and alerting in place to support “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What we look for You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes. You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: CAD $181,000 - $241,000 Location - Remote Canada This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm’s Identity team is mission-critical to the customer checkout experience. When a customer chooses Affirm, one of the first steps is an identity check, and our ability to make the right decision directly impacts conversion, revenue, fraud exposure, and regulatory compliance. Our team owns Identity for all markets outside North America, playing a key role in Affirm’s international expansion. We are responsible for KYC, user lifecycle management, and identity decisioning across multiple regulatory environments. This work is about shaping how Affirm adapts its core Identity platform to new market dynamics, customer expectations, and compliance requirements. What you'll do You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, polcities, testing and alerting in place to support “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What we look for You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes. You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - P Equity Grade - 13 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA Pacific base pay range (CA, WA, NY, NJ, CT): $230,000 - $290,000 USA Sapphire base pay range (all other U.S. states): $204,00 - $264,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Data Scientist II - Decision Science Using data, you will play a crucial role in driving decision-making and delivering impactful insights to our stakeholders. You will apply advanced analytical techniques, build Machine Learning (ML) models, and use experimentation and causal inference methods to solve sophisticated business problems related to platform engagement, product features, and games. What you’ll be doing: Apply advanced statistical and ML techniques to analyse large and complex datasets, extracting actionable insights in a commercial setting. Apply your knowledge of Experimentation, Causal Inference, ML, and statistical modelling to develop robust predictive models and identify causal relationships. Collaborate with cross-functional teams to define business problems, formulate hypotheses, and design experiments to test them. Independently extract and integrate data from multiple data systems, including writing complex SQL queries, to support analytical efforts. Support the delivery of results and presentations to stakeholders, translating complex analyses into clear and actionable recommendations. Stay up to date on the latest advancements in Data Science, including Causal Inference, Gen AI, and ML, and share knowledge and new ideas with the team. What we’re looking for: Master's Degree or Ph.D. in Applied Math, Economics, Statistics, Engineering, or a related quantitative field, plus at least 2 years of relevant industry experience, ideally in entertainment, gaming, technology, or a related consumer-facing industry. A BA/BS Degree may also be considered based on additional relevant industry experience. Advanced knowledge and experience applying ML methods using Python and SQL. Familiarity with common development tools and practices, including version control systems (e.g., Git) and workflow management tools (e.g., Airflow). Excellent communication and data storytelling skills, with the ability to effectively communicate technical concepts to non-technical partners. In-depth understanding and experience using supervised and unsupervised ML techniques. Understanding of Online Experimentation (large-scale A/B tests) and Causal Inference methods is a plus Knowledge of the gaming industry and relevant gaming titles is a plus. Familiarity with Gen AI tools and pipelines is a plus. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $156,300 — $234,500 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Amsterdam; London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. The role Global payments are complex, high-throughput, and ever-evolving. At Checkout.com http://Checkout.com, our software engineers develop the next-generation financial technologies that empower merchants to optimize acceptance rates, combat fraud and unlock seamless customer experiences. As a Staff Software Engineer within our Payments Performance pillar, you will step into a critical role of strategic technical leadership. It is rooted in your profound depth of technical expertise and a wide breadth of organizational influence. You will guide the technical approach for your group, aligning multiple engineering teams on architectural priorities, unblocking complex obstacles, and balancing technical excellence with pragmatism for impact. We are looking for someone with a background building robust, automated experimentation or decision engines at a global scale. How you’ll make an impact - Drive the long-term technical direction and strategy for the Experimentation and Optimisation platform, looking beyond immediate requirements to ensure our solutions are built for impact and scale. - Collaborate cross-functionally with Data Science, Platform and ML Engineering teams to shape what we build, not just how. - Act as a coach and mentor to our engineering teams, providing the technical leadership needed to solve complex distributed systems challenges in Go. - Proactively identify opportunities and take initiative to elevate the engineering standards within the pillar, fostering a culture of continuous improvement. - Participate, translate, run and execute the collection of requirements and architecture/design initiatives into clear, actionable engineering roadmaps. - Serve as a role model for engineering excellence, championing best practices in code, architecture and operational excellence. What we’re looking for - Technical leadership: setting direction, breaking down complex problems, influencing across teams. - Extensive, hands-on experience in building, operating and scaling complex, cloud-based distributed systems (we use mainly AWS). - Excellent programming skills in Go (Golang), with a deep understanding of concurrent, memory-efficient, and low-latency backend architectures. - A strong engineering background with a proven track record of implementing, owning, and scaling experimentation systems, feature-flagging infrastructures, or similar data-intensive backend systems. - A proven ability to raise the bar for engineering standards through effective coaching, mentorship, and a relentless drive for platform improvement. - Strong presentation, communication, and collaboration skills, with the ability to articulate complex technical or statistical concepts to multidisciplinary teams and influence positive outcomes across the organization. - A detail-oriented and data-driven approach to building infrastructure solutions where accuracy, thoroughness, and low latency are absolutely critical. - You take initiative and are deeply accountable to your internal customers and engineering colleagues. - Bonus: experience with implementing solutions for adaptive experimentation ML (contextual bandits, Bayesian optimization or RL-based allocation) Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Chicago, IL, USA About the role Chime is looking for an engineering leader to help manage and guide one of the Trust & Safety engineering teams. Chime’s Trust & Safety org is on a mission to protect our members and fuel durable growth. In practice, that means earning member trust through secure, seamless experiences; preventing fraud and abuse; reducing unnecessary friction; and meeting regulatory obligations while enabling responsible growth. We're hiring Tech Lead Managers (TLM) for multiple squads in Trust & Safety. TLMs at Chime manage a team of 3-5 engineers: Setting the hiring bar, coaching and developing talent, and driving all formal people management activities. They own execution and delivery for the squad. They stay in the code, authoring and shipping features alongside their team. In this role, you can expect to: Manage and develop a squad of 4-5 engineers: Hiring, 1:1s, career coaching, managing for performance Own delivery for your squad end to end, from sprint planning and delivery commitments through service SLAs and operational health Write and ship code alongside your team, authoring pull requests that land in production Be accountable for the squad's technical direction, architecture, and quality bar, either via a tech lead on the squad, or by taking on the tech lead role yourself. Use AI coding agents and tooling to raise both your own leverage and your squad's, and establish the practices that make that durable for the team Partner with Product and Design on scope, prioritization, and quarterly planning, surfacing technical dependencies and capacity needs early Act as the squad's cross-functional point of contact for its technical capabilities and dependency coordination, and carry the "what should we build" conversation if/when a PM isn't dedicated to your squad Identify technical debt and advocate for sustainable engineering, staying an active contributor to the codebase Ensure quality, performance, and operational health, including a healthy on-call and incident-response culture Build growth paths for the engineers on your squad towards the higher IC levels or a future TLM role Contribute to broader T&S and Chime engineering initiatives as a member of the engineering leadership team To thrive in this role, you have: 2+ years in people management responsibilities. Current, hands-on coding ability and the desire to keep it. You are writing code today and want a role where that continues. A track record of using AI-assisted development tools such as Claude Code, Codex, or Cursor to accelerate real delivery, and of getting a team to adopt them with measurable impact on output Experience supporting coaching members of your team around project execution, skill development, and career progression. Interest in pushing the technology, people, and organization envelope to explore new ways we can deliver amazement to our customers. Strong cross-functional collaboration skills, with a track record of partnering closely with Product, Design, and Analytics. A fascination in how to make teams and people thrive. Enjoyment in learning and diving into the deepest levels of how things work. The ability to motivate a team through delivery on aggressive schedules and goals. Experience with similar tech: Ruby, React Native, Distributed Systems, AWS services (data, compute) and Service Oriented Architectures. #LI-DA1 #LI-Onsite Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $199,000 — $275,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: Global (Remote) Workplace: Remote DECISION INTELLIGENCE ANALYST Team: Product Location: Flexible / Remote Reporting to: VP of Product ROLE OVERVIEW Rwazi’s platform produces decision-grade outputs powered by structured reasoning and AI-assisted judgment. The Decision Intelligence Analyst owns decision quality. This role evaluates system outputs, identifies reasoning weaknesses, and strengthens AI judgment through structured feedback and training loops. It ensures the platform does not merely generate outputs — but generates sound, defensible decisions. The Decision Intelligence Analyst is the quality control layer for decision intelligence. CORE MANDATE The Decision Intelligence Analyst is accountable for: - Evaluating decision outputs for logical integrity and sound reasoning - Identifying patterns of judgment failure or inconsistency - Designing structured feedback loops to improve AI reasoning - Training and refining AI judgment frameworks - Defining measurable standards for decision quality This role governs the reliability of Rwazi’s decision engine. KEY RESPONSIBILITIES DECISION OUTPUT EVALUATION - Review system outputs for logical coherence and reasoning rigor - Assess signal interpretation accuracy - Identify tradeoff miscalculations or flawed inference pathways - Document recurring reasoning gaps AI JUDGMENT TRAINING - Create structured examples to refine reasoning performance - Develop edge-case libraries for training robustness - Formalize evaluation rubrics for decision quality - Collaborate with R&D to improve reasoning architecture QUALITY STANDARDS & METRICS - Define measurable criteria for decision-grade output - Track improvements in reasoning consistency - Monitor drift in output quality over time - Establish acceptance thresholds for release FAILURE MODE ANALYSIS - Identify systemic reasoning weaknesses - Surface blind spots in signal modeling - Propose structured adjustments to logic layers - Escalate structural flaws early CROSS-FUNCTIONAL COLLABORATION - Partner with Product to align quality with roadmap goals - Collaborate with R&D on advanced reasoning improvements - Provide structured feedback to Engineering when system behavior deviates ROLE IMPACT Strong performance in this role results in: - Higher confidence in decision outputs - Reduced reasoning inconsistencies - Improved explainability - Faster detection of system drift - Stronger enterprise trust This role protects the intellectual credibility of the platform. WHAT THIS ROLE IS NOT - This is not general QA - This is not surface-level data validation - This is not simple output review This role evaluates reasoning quality, not formatting correctness. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - Strong analytical and logical reasoning ability - Experience evaluating AI systems, decision frameworks, or complex models - Comfort dissecting multi-step reasoning chains - Ability to formalize judgment criteria - Strong written clarity and structured thinking - Comfort working with ambiguity and edge cases Candidates may come from applied AI evaluation, consulting, operations research, economics, philosophy of logic, or technically rigorous analytical fields. CULTURAL FIT We value analysts who: - Obsess over reasoning integrity - Question outputs rather than accept them - Care about intellectual rigor - Prefer structured evaluation over intuition - Are comfortable holding high standards HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Their ability to critique and improve structured reasoning - Clarity of their evaluation frameworks - Depth of logical analysis - Ability to identify hidden failure modes - Their rigor in defining measurable quality standards We prioritize demonstrated reasoning discipline over titles alone. SUMMARY The Decision Intelligence Analyst safeguards the quality and integrity of Rwazi’s decision engine. This role ensures that as AI capabilities expand, decision outputs remain structured, defensible, and enterprise-grade.

Location: Global (Remote) Workplace: Remote DECISION RESEARCH SCIENTIST Team: Research & Development Location: Flexible / Remote Reporting to: Head of R&D ROLE OVERVIEW Rwazi advances decision systems — software capable of structured reasoning under real-world constraints. The Decision Research Scientist applies formal reasoning, modeling, and experimentation to real enterprise decision problems. This role operates at the boundary between research and application. It translates abstract decision theory, evaluation logic, and structured reasoning into practical system improvements that enhance Rwazi’s decision intelligence. This is applied decision research — not academic isolation. CORE MANDATE The Decision Research Scientist is accountable for: - Designing formal decision frameworks for complex enterprise problems - Modeling tradeoffs, uncertainty, and signal ambiguity - Advancing structured reasoning methodologies - Testing and validating new decision architectures - Converting research insight into system-ready primitives This role strengthens the reasoning depth of Rwazi’s decision engine. KEY RESPONSIBILITIES APPLIED DECISION MODELING - Formalize complex business questions into structured decision systems - Model uncertainty, tradeoffs, and multi-variable constraints - Design evaluation logic for ambiguous signal environments - Develop structured judgment methodologies RESEARCH-TO-APPLICATION TRANSLATION - Apply theoretical frameworks to real client use cases - Test decision logic against live or simulated environments - Identify structural weaknesses in existing decision pathways - Propose formal improvements with measurable rigor EXPERIMENTAL DESIGN - Design controlled experiments to validate reasoning enhancements - Define metrics for decision quality and output consistency - Compare alternative system architectures under defined constraints CROSS-FUNCTIONAL INTEGRATION - Collaborate with Research Engineers to prototype research concepts - Provide formal specifications to Product and Engineering - Advise leadership on long-term decision capability evolution ROLE IMPACT Strong performance in this role results in: - More reliable and explainable decision outputs - Increased reasoning depth across signal types - Expansion into new classes of enterprise problems - Stronger structural defensibility This role deepens Rwazi’s intellectual core. WHAT THIS ROLE IS NOT - This is not feature delivery - This is not surface-level analytics - This is not academic research detached from application This role requires rigorous thinking applied to real-world constraints. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - Strong grounding in decision theory, systems modeling, or applied reasoning - Experience formalizing ambiguous problems into structured frameworks - Comfort working with AI systems and reasoning architectures - Ability to design and evaluate experiments rigorously - Intellectual independence and systems thinking Candidates may come from applied AI research, quantitative modeling, computational social science, economics, operations research, or advanced analytics domains. HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Their ability to formalize complex decision problems - The rigor and clarity of their reasoning models - Evidence of applying theory to practical systems - Depth of structured thinking - Their ability to improve decision quality measurably SUMMARY The Decision Research Scientist advances Rwazi’s applied decision intelligence by turning complex reasoning into structured, validated system logic.

Location: Global (Remote) Workplace: Remote DECISION SYSTEMS ARCHITECT Team: Product Location: Flexible / Remote Reporting to: Product Leadership ROLE OVERVIEW Sena is designed to translate complex business intent into decision-grade outputs at scale. The Decision Systems Architect plays a critical role in advancing Sena’s decision capabilities by formalizing judgment, reasoning frameworks, and evaluation logic into system-native structures. This role focuses on extending the breadth, depth, and consistency of Sena’s decision logic as new customer use cases, signal types, and business questions emerge. This is a product-embedded role at the intersection of systems thinking, applied reasoning, and AI enablement. KEY RESPONSIBILITIES The Decision Systems Architect is responsible for: - Designing and refining decision frameworks that guide how Sena interprets customer intent - Defining signal mapping logic that structures how business questions are decomposed into actionable signals - Establishing configuration schemas that specify how data must be captured to support decision-grade outputs - Creating evaluation criteria and quality standards used to assess system outputs - Identifying recurring patterns, edge cases, and failure modes, and formalizing them into reusable system logic - Producing structured artifacts that directly inform Product and AI development workflows - Collaborating closely with Product, AI, and Engineering teams to ensure decision logic is encoded effectively into Sena All work in this role is expected to be system-oriented, reusable, and extensible. ROLE IMPACT AND GROWTH This role contributes to Sena’s evolution as new business problems, customer objectives, and data environments emerge. As the system’s capabilities expand, the focus of this role naturally shifts toward: - New classes of customer questions - New signal types and constraints - More complex decision structures and tradeoffs - Higher-order reasoning patterns that have not yet been formalized This role remains at the frontier of decision design as the product evolves. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - Strong systems thinking and the ability to formalize complex reasoning - Experience designing frameworks, methodologies, or structured decision logic - The ability to translate ambiguous problems into clear, explicit structures - Comfort working in highly autonomous, fast-moving environments - Intellectual curiosity and a willingness to challenge established methods Candidates may come from applied research or technically rigorous domains where deep reasoning, formal abstraction, and the hands-on design of complex decision systems were core to the work. CULTURAL FIT We value people who: - Take initiative and operate with high ownership - Produce high output with limited resources - Prefer autonomy and accountability - Are inventive and comfortable rejecting outdated approaches - Are deeply focused and driven by hard problems This role is best suited for individuals who enjoy building foundational systems and pushing the boundaries of what software can reason about. HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Their ability to structure and reason through ambiguous problems - The clarity, generalizability, and technical rigor of the frameworks they design - How effectively their thinking can be translated into system-level logic - The quality and rigor of their judgment under real-world constraints - Their ability to independently design, execute, and iterate on decision frameworks We prioritize demonstrated capability and depth of thinking over resumes alone. SUMMARY The Decision Systems Architect helps define how Sena thinks as it continues to expand across new domains and use cases. This role is central to shaping the system’s long-term decision intelligence and is designed for individuals who want to work at the intersection of reasoning, systems, and product design.

Location: Islamabad, Pakistan; Punjab, Pakistan; Karachi, Pakistan Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Data Architect to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Role Summary: The Data Architect will design and govern the complete data ecosystem for the ValueX platform — including data ingestion, processing, modeling, storage, orchestration, and governance. They will define the data architecture blueprint supporting the system’s core modules. 1. Customer Segmentation 2. Business Decisioning & Offer Assignment Engine 3. Real-Time Offer Orchestration Module (ROOM) 4. ML/AI Model Management & Simulation Engine The architect will ensure scalability to handle 50 million+ customer profiles, real-time event streams, and ML-driven decisioning — with a focus on performance, cost optimization, and maintainability. Key Responsibilities: Data Architecture & Design Define the end-to-end data architecture across batch, streaming, and real-time layers. Design Customer 360 and Offer 360 data models, including feature store and historical layers. Establish logical, physical, and semantic data models to enable segmentation, scoring, and orchestration. Define data contracts for Kafka topics, API payloads, and Adobe/CDP integrations. Set up data versioning and lineage frameworks to track data provenance Data Ingestion & Integration Architect data ingestion pipelines from multiple telco sources: OCS, CRM, Kenan, Billing, DWH, Adobe AEP, Pricefx, and external APIs. Define patterns for real-time event ingestion (recharge, offer purchase, balance check). Standardize data access through APIs or data products for downstream modules. Design connectors for cloud storage (e.g., S3, Delta Lake) and integration middleware (e.g., n8n, DecisionRules.io , KNIME). Data Management & Governance Define and enforce data quality, lineage, catalog, and access policies. Establish metadata management frameworks (e.g., DataHub, Collibra, Amundsen). Set up data validation and DQ frameworks (Great Expectations, Deequ). Govern data partitioning, schema evolution, retention, and archiving strategies. Ensure compliance with data privacy and regulatory standards (e.g., PDPA, GDPR, local telecom data policies). Scalability, Cost & Performance Design for high performance and cost-efficient scalability (25M → 50M → 75M customers). Optimize compute/storage balance across environments (Dev, UAT, Prod). Define data lakehouse optimization strategies (Z-Order, Delta caching, compaction). Monitor and manage query performance, cluster sizing, and job orchestration costs. Collaboration & Governance Work closely with Data Engineers, Data Scientists, and Application Developers to ensure architectural alignment. Lead architecture review boards and maintain data design documentation (ERD, flow diagrams, schema registry). Serve as technical liaison between business stakeholders, data teams, and platform vendors (Databricks, Adobe, Pricefx). Provide best practices and design patterns for model deployment, retraining, and data lifecycle management. 10+ years in Data Architecture and Data Platform Design Data Architecture-Data lakehouse design, data modeling (dimensional, normalized, semantic), schema management. ETL/ELT & Orchestration-Databricks, Snowflake, dbt, Airflow, AWS Glue, Azure Data Factory. Streaming & Real-Time-Apache Kafka, Spark Streaming, Kinesis, Flink Data Modeling-Customer 360, Offer 360, Transaction 360, Feature Store Cloud Platforms-AWS (S3, Glue, Lambda, EMR), Azure (ADF, Synapse), or GCP (BigQuery, Dataflow) Storage & Compute-Delta Lake, Parquet, Iceberg, Snowflake Data Quality & Governance-Great Expectations, Deequ, DataHub, Collibra Programming & Scripting-Python, SQL, PySpark, YAML API & Integration Design-REST, GraphQL, Kafka Connect, JSON schema Security & Compliance-IAM, encryption (KMS), access control, masking, PDPA compliance Preferred (Nice-to-Have) Telecom industry experience (recharge, balance, offer, churn, usage data). Experience integrating with Adobe Experience Platform (AEP) or Pricefx. Knowledge of DecisionRules.io , KNIME, or n8n for workflow orchestration. Familiarity with AI/ML pipelines and MLOps frameworks (MLflow, SageMaker). Exposure to knowledge graphs (Neo4j, GraphFrames) for segmentation and recommendation. Educational Background Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related fields. Certifications in AWS/Azure Data Architect, Databricks Certified Data Engineer, or Snowflake Architect are preferred.

Location: Lagos, Nigeria; Russia We are looking for a Data Science Manager with a strong background in managing data-driven solutions to lead a high-performing DS team within the banking sector. This role combines ML expertise, team leadership, and cross-functional communication, with a focus on scorecard development, model performance, and portfolio risk monitoring. Responsibilities Advanced ML-modeling and data-exploration: ensembles and AI-algorithms, AI-initiatives management, external AI-services integration. Focus on models and solutions for: credit, fraud, marketing, collection and contact strategies, text, speech and behavioral analytics, dynamic pricing and limits. Stakeholders' expectations management: communication with risk (portfolio) team, collection team, other business units on score-modelling and backlog prioritization, task clarification. DS-team management: recruitment, training, performance improvement, scrum-servicing, task-management. Improvement DS-team communication with consumers and business needs understanding. Environment, process and tools management: git, Jira board, Confluence content, Agile rituals. ML-data management: colabration with DWH-team; data-availability, reliability and quality assessment; new/existent data-sources integrations support and management, data-flow stability control, feature-store administation. ML-model lifecycle management: from business needs identification to "sell", deployment and production-test stage. ML-models stability monitoring and quality control, reassessment and proactive quality improvement (re-calibration/ re-building). Knowledge management: Maintain up-to-date project documentation, implement standards, control discipline and maintain actuality for confluence descriptions, feature-store meta-data, git documentation, internal experience sharing and handover, new methodologies and tools review and implementation. Requirements Demonstrated experience working in fintech or banking, especially within emerging markets. Hands-on experience developing ML scoring models for text, speech, behavioral analytics, and dynamic modeling in card businesses. Strong programming skills in Python and SQL for data analysis, modeling, and automation. Proven experience with machine learning techniques, including: Regression, classification, ranking, boosting Graph-based models, neural networks, NLP, and large language models (LLMs) Solid understanding and practical implementation of AI concepts and systems. Familiarity with MLOps, including data pipelines, model deployment, and productionizing machine learning solutions. Experience with cloud computing platforms, especially AWS (highly preferred). Proficiency with BI and data visualization tools such as PowerBI, Excel, Tableau, or Grafana. Prior exposure to risk management or analytics, particularly within the cards or payments space. Strong grasp of Agile and Scrum methodologies in a data or engineering environment. Excellent communication and presentation skills, with the ability to simplify complex data concepts for both technical and non-technical audiences. Fluent in spoken English.

Responsibilities: — Develop and scale acquisition creative across multiple products. — Own the creative strategy for assigned lanes including customer understanding, discovering new angles, writing hooks and scripts, developing visual formats, and expanding proven winners. — Collaborate closely with writers, creators, editors, and Paid Media to translate customer insights and performance learnings into clear creative direction and ads that drive profitable growth. — Build deep customer intelligence using reviews, interviews, surveys, competitor analysis, and performance insights. — Develop personas based on real customer motivations and moments where products matter. — Translate research into actionable creative opportunities. — Discover new acquisition growth sources and systematically expand proven winners. — Identify and test new customer segments, purchase motivations, use cases, and creative territories. — Develop angles, hooks, and scripts using direct-response fundamentals. — Own visual packaging of ideas including opening hooks, demonstrations, shot direction, pacing, text, and editing. — Reverse-engineer successful paid and organic creative from competitors and adapt for Freebird. — Maintain a diversified creative portfolio with strategic territory maps. — Track performance and coverage gaps to direct testing and improve acquisition. — Build monthly sprint plans supporting 30 concepts per month per lane. — Prioritize opportunities based on evidence, performance, business needs, and production capacity. — Identify drivers of winning creative and build expansion plans. — Partner with Paid Media and Analytics to evaluate creative performance by CAC, purchase volume, and profitable spend. — Use metrics to diagnose performance and turn tests into clear decisions. — Coach writers and partner with creator leadership to improve creative quality. Requirements: — Proven success developing performance creative strategy for DTC or ecommerce brands with measurable acquisition results. — Experience discovering new winning angles and expanding proven creative into profitable spend. — Hands-on experience conducting customer research including reviews, interviews, surveys, and VOC analysis. — Ability to understand motivations and beliefs beyond demographics. — Experience directing writers and collaborating with creators, editors, production, and paid media teams. — Ability to translate strategy into clear direction. — Experience managing creative strategy across multiple products, audiences, or acquisition portfolios. — Strong commercial judgment linking creative performance to CAC and business results. — Hands-on experience developing and evaluating Meta acquisition creative at scale. — Strong visual creative judgment and direct-response copywriting skills with examples. — AI fluency and resourcefulness in workflow improvement using modern tools. Benefits: — Remote-first and flexible work environment with autonomy and meaningful overlap with US working hours. — Competitive compensation and benefits including medical, dental, vision coverage, 401(k) with company match, and unlimited PTO. — Opportunity to join a profitable, high-growth 9-figure DTC brand with significant ad spend and established creative operations. — Real ownership and accountability for creative strategy and acquisition results. — Fast-paced environment focused on impactful ideas without unnecessary bureaucracy. — High autonomy with low politics and trust in employees. — Supportive, collaborative, and people-focused culture. — Commitment to continuous growth, improvement, and innovation without fear.