Вакансии

LLM serving pro (vLLM / SGLang / TensorRT-LLM). GPU performance skills (CUDA / Triton).

Проектирование контентных пайплайнов (аналог ETL). -Сбор идей/скриптов → Генерация промптов → Вызов API нейросетей (видео/аудио/изображения) → Автоматизированный рендер и монтаж (ffmpeg и аналоги) → Выгрузка готового ролика.

6+ лет в data engineering, опыт с банковскими данными обязательно. Сильный бэкграунд до AI: руками строил DWH или Lakehouse и знаешь, где всё ломается.

Location: Poland Workplace: remote About airSlate airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. Our award-winning products - SignNow, pdfFiller, DocHub, altaFlow, Instapage, and US Legal Forms - serve over hundreds of millions of users and more than one million customers worldwide, helping organizations of every size digitize processes, improve efficiency, and transform how they work.   We’re in an exciting phase of growth and transformation, with teammates in more than 20 countries across three continents and main hubs in the United States, Poland, Ukraine and Philippines.  At airSlate, we’re building value for customers and a culture where growth and innovation go hand in hand. We’re looking for people eager to shape products, scale a company, and thrive in a fast-moving environment. We are looking for a hands-on leader to run Data Enablement. The team that owns how our data is modeled, trusted, and made ready for the business and for AI. You will lead analytics engineers and web analytics specialists, own the semantic layer end-to-end, and turn raw product and event data into curated, well-documented datasets that people can rely on. WHAT YOU WILL DO: Lead and grow the team. Set priorities, coach, and keep a steady delivery rhythm across analytics engineering and web analytics. Own the semantic layer. Design, build and evolve SQL-based models and metric definitions so that one number means one thing across all our products. Raise data curation and automate the routine. Move the team from ad hoc requests to reusable, tested, documented datasets that people and our AI data assistant can query directly, with tracking checks and data-quality monitoring on autopilot. Set standards and partner across the data organization. Modeling conventions, version control, testing and release practices, code review; work with Data Business Partners, Data Science / ML and Data Platform on scope and ownership. Stay close to the code on critical builds. WHAT WE ARE LOOKING FOR: Experience. 5+ years in analytics, data or BI engineering, including 2+ years leading a team or leading others technically. Expert SQL and Python. You set query and performance standards others follow, rewrite expensive queries and explain the trade-offs, handle incremental loads, deduplication and slowly changing dimensions, and own production Python components that other teams depend on. Data modeling and pipelines. You design warehouse and mart models that several teams build on, including a semantic layer, and choose the methodology (star schema, Data Vault or equivalent) to fit the queries it must serve. You optimize and troubleshoot pipelines on a cloud stack such as AWS (Athena, Redshift, Glue) and orchestration tools such as Airflow. Engineering discipline. You set branching and code review standards, require schema and data tests and CI before release, and lead risky changes with a clear rollout and rollback plan. Data quality and data fluency. You design validation that catches problems before stakeholders do, fix root causes rather than symptoms, set documentation standards, and investigate unfamiliar sources before trusting them. Business impact. You design solution options for complex problems, split cross-team work into pieces with a clear definition of done, build dashboards around the decision they support, and become a trusted partner to business leaders. AI in everyday work. You redesign team workflows around AI tools to drive adoption, and evaluate AI outputs for quality, privacy and bias. Leadership and ownership. You own complex team-level projects, make high-impact decisions from complex information, coach people by spotting skill gaps and giving regular feedback, set clear scope expectations, and turn change into actionable steps for the team. Communication. You clarify complex ideas, build consensus across teams and time zones, and communicate in fluent English. Nice to have: experience with dbt or a similar transformation framework (we may adopt one); web analytics and tracking (GTM, GA4); B2B SaaS or document-workflow / e-signature background. What we offer   Flexible working environment - Our teams operate across the globe. We value in‑person collaboration in our hubs, but we also embrace remote and hybrid working. You can work from one of our offices in the United States, Poland, Romania or Ukraine, or remotely from many countries.   Competitive compensation and stock options - We offer salaries that reflect local market conditions and experience,  plus a performance-based bonus system and stock options so you share in the company’s growth.   Professional growth and learning - We invest in your development through courses, conferences, and access to learning resources. We encourage career growth and internal mobility, supporting teammates who want to explore new opportunities within airSlate.   Health and well‑being - We provide comprehensive benefits tailored to each country, including health coverage, wellness programmes and access to fitness options. We also dedicate quarterly company-wide Mental Health Days, when everyone takes time off to rest and recharge.   Family‑friendly culture - Family life is part of who we are, and we embrace it in many forms. From flexibility for parents to our airSlate Junior Club for kids, to company-wide family days and our pet-friendly approach, we’re committed to making work and life easier to balance.   Giving back - We support charitable initiatives around the world through the airSlate Care programme. Our current focus includes humanitarian aid in Ukraine and other regions, matching employee donations and supporting causes chosen by our teams.   Open communication - We encourage transparent dialogue at all levels. From team discussions to company-wide Q&A sessions with our CEO, we make sure everyone has the chance to be heard and to influence how we grow.       It is airSlate's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. airSlate's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. airSlate is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, airSlate will consider for employment qualified applicants with arrest and conviction records.   Read our Recruitment Privacy Notice to Learn how we process your personal information.

Location: Remote Spain 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. Join Affirm as a Machine Learning Engineering Manager and become a pivotal part of our International Credit Machine Learning group. Specifically, you will manage a team of ML engineers that builds the models powering credit lending decisions in countries across Europe and in Australia. You will lead your team in using novel ML techniques and rich data representations to predict repayment behavior and optimize how we offer loans to our borrowers. In this role, you will help shape the future of machine learning at Affirm. You'll partner with engineering, product, and risk leaders to design, implement, and scale advanced ML solutions that drive critical capabilities across the company. You will mentor engineers, bring clarity to complex, ambiguous problems, and contribute to a cohesive long-term ML strategy. What you'll do Set the technical strategy for your team, and help your engineers tie it together with critical, business-impacting projects in our underwriting system Act as a force multiplier through your definition and advocacy of technical solutions and operational processes. Collaborate across teams in the product development lifecycle by partnering with product management, design, analytics, and risk to ensure technical sustainability, risks and trade-offs are well understood and managed. Develop talent by providing feedback and guidance, and leading by example. On-Call Rotation - There would be an on-call rotation for this role as a requirement. What We Look For Bachelor's in a technical field with 8+ years of industry experience, including 3+ years managing engineers. A background in financial services, specifically in credit / lending. Proficiency in machine learning with experience in areas including tree-based models, transformers, deep learning, and agentic ML. Strong engineering skills and the ability to provide hands-on technical leadership while working with our code and architecture. 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 Compensation & Benefits Base Pay Grade - P Equity Grade - 6 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). ESP base pay range per year: €103,000  -  €139,000 Additional benefits include: Flexible Spending Wallets for tech, food and lifestyle Away Days - wellness days to take off work and recharge Learning & Development programs Parental benefit Employee Resource & Community Groups We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role. Location - Remote Spain #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 Poland 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. Join Affirm as a Machine Learning Engineering Manager and become a pivotal part of our International Credit Machine Learning group. Specifically, you will manage a team of ML engineers that builds the models powering credit lending decisions in countries across Europe and in Australia. You will lead your team in using novel ML techniques and rich data representations to predict repayment behavior and optimize how we offer loans to our borrowers. In this role, you will help shape the future of machine learning at Affirm. You'll partner with engineering, product, and risk leaders to design, implement, and scale advanced ML solutions that drive critical capabilities across the company. You will mentor engineers, bring clarity to complex, ambiguous problems, and contribute to a cohesive long-term ML strategy. What you'll do Set the technical strategy for your team, and help your engineers tie it together with critical, business-impacting projects in our underwriting system Act as a force multiplier through your definition and advocacy of technical solutions and operational processes. Collaborate across teams in the product development lifecycle by partnering with product management, design, analytics, and risk to ensure technical sustainability, risks and trade-offs are well understood and managed. Develop talent by providing feedback and guidance, and leading by example. What We Look For Bachelor's in a technical field with 8+ years of industry experience, including 3+ years managing engineers. A background in financial services, specifically in credit / lending. Proficiency in machine learning with experience in areas including tree-based models, transformers, deep learning, and agentic ML. Strong engineering skills and the ability to provide hands-on technical leadership while working with our code and architecture. 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 Total rewards We believe the people building honest financial products at Affirm should share in its success. That's why our total rewards are designed to support your health, growth, financial well-being, and future. In service of our mission, we reward employees through a combination of base pay, equity (from parent company), and comprehensive benefits. Base Pay Grade - P 365,000 zł  -  485,000 zł 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). Base pay ranges and placement within those ranges are determined based on several factors, including role, experience, and job-related skills. In addition to base pay, all employees in this role are eligible to receive equity from the parent company each year. This means as Affirm’s parent company grows, employees have the opportunity to share in that growth financially. Equity Grade - 5 (awarded in US Dollars) Affirm Holdings, Inc. Equity Grade example Equity grade: 5 New hire equity: $48,000-$72,000 Annual Refresh: $15,000 Reward equity: $0-$225,000 Affirm also provides flexible spending wallets to all employees for technology and wellbeing related needs, which are reimbursable up to 1390 zł per month. In addition to your compensation, our comprehensive benefits are designed to support you and the people who matter most. Benefits include: Competitive paid time off, paid public holidays, and additional paid Away Days to rest and recharge. Comprehensive private healthcare through Lux Med's Platinum package. A MultiSport card to support your health and well-being. Learning and development programs to help you grow professionally. Family healthcare support through Maven and parental leave support through Parentaly. Mental well-being support through Lyra, including up to 12 confidential counseling or coaching sessions each year for you and your household members. Financial well-being support through Northstar, with unlimited access to Certified. Financial Advisors and planning tools at no cost to you. Employee Resource Groups (ERGs) that foster connection and inclusion. Eligibility for creative tax benefits, subject to applicable law, role, and company policy. Location - Remote Poland The majority of our roles can be located anywhere in Poland. **This job description is not a contractual document, and is not intended to have binding force.** #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 UK 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. Join Affirm as a Machine Learning Engineering Manager and become a pivotal part of our International Credit Machine Learning group. Specifically, you will manage a team of ML engineers that builds the models powering credit lending decisions in countries across Europe and in Australia. You will lead your team in using novel ML techniques and rich data representations to predict repayment behavior and optimize how we offer loans to our borrowers. In this role, you will help shape the future of machine learning at Affirm. You'll partner with engineering, product, and risk leaders to design, implement, and scale advanced ML solutions that drive critical capabilities across the company. You will mentor engineers, bring clarity to complex, ambiguous problems, and contribute to a cohesive long-term ML strategy. What you'll do Set the technical strategy for your team, and help your engineers tie it together with critical, business-impacting projects in our underwriting system Act as a force multiplier through your definition and advocacy of technical solutions and operational processes. Collaborate across teams in the product development lifecycle by partnering with product management, design, analytics, and risk to ensure technical sustainability, risks and trade-offs are well understood and managed. Develop talent by providing feedback and guidance, and leading by example. What We Look For Bachelor's in a technical field with 8+ years of industry experience, including 3+ years managing engineers. A background in financial services, specifically in credit / lending. Proficiency in machine learning with experience in areas including tree-based models, transformers, deep learning, and agentic ML. Strong engineering skills and the ability to provide hands-on technical leadership while working with our code and architecture. 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 Compensation & Benefits 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 equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidised medical coverage, dental and vision for you and your dependents.) Base pay range per year: £142,000 - £190,000 Location: UK 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 Poland 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. About the Engineering team The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering. About the role We are reinventing credit cards entirely. We are working directly with card issuers to change how credit is used throughout the world, creating new types of cards that work for both their everyday lives and large purchases with extremely straightforward, flexible terms. We are looking for a Senior Manager Software Engineering to lead teams centered around integrations with partners, processors, and internationalization.  Your mission will be to decrease the time it takes for our teams to integrate with external partners dramatically and allow us to launch cards as soon as we launch Affirm in a new country. You’ll partner with other engineering leaders in revolutionizing the way the team works, shaping the culture of engineering across Cards. You will lead from the front on AI while holding the bar high on quality.  You’ll collaborate with other managers across the organization to create a psychologically safe team.  You will work closely with stakeholders in the EU and US to build products customers want, and are scalable, reliable, and high-performing. You'll help shape best practices, guide architectural choices, and drive the successful delivery of critical initiatives. What you’ll do Hire the right people - We are still actively growing our teams in Spain and Poland. You will lead the way on hiring. Build the team culture - Set a high standard and great team culture in your growing organization. Lead the vision – Define the technical direction, long-term technical roadmap, and strategic initiatives in Cards. Be a role model - Lead from the front as an example in using AI to build fast, take initiative, and revolutionize how we work. Work closely with stakeholders across all teams at Affirm to champion and implement technical excellence in conjunction with business results Create and influence a strong ownership culture across teams, with high accountability and investment for building for scale and efficiency Mentor and lead – Guide a strong group of managers and engineers What we look for You have 10+ years of software engineering experience, including 5+ years managing engineering teams and 2+ years managing managers. You have led a multi-team engineering org through a multi-year technical strategy, breaking ambiguous requirements into deliverables that shipped. You have the technical depth to guide architecture, reliability and quality decisions across a portfolio of systems. You also let tech leads and architects make the calls. You make investment and prioritization decisions even when people disagree or consensus is incomplete, and you change course when the evidence changes. You explain strategy, risk and tradeoffs in terms that make sense to engineers, cross-functional partners and executives. You have grown managers into senior leaders and built teams where diverse perspectives are included and valued on merit. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Total rewards We believe the people building honest financial products at Affirm should share in its success. That's why our total rewards are designed to support your health, growth, financial well-being, and future. In service of our mission, we reward employees through a combination of base pay, equity (from parent company), and comprehensive benefits. Base Pay Grade - R 422,000 zł  -  542,000 zł 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). Base pay ranges and placement within those ranges are determined based on several factors, including role, experience, and job-related skills. In addition to base pay, all employees in this role are eligible to receive equity from the parent company each year. This means as Affirm’s parent company grows, employees have the opportunity to share in that growth financially. Equity Grade - 6 (awarded in US Dollars) Affirm Holdings, Inc. Equity Grade example Equity grade: 6 New hire equity: $64,000-$96,000 Annual Refresh: $20,000 Reward equity: $0-$300,000 Affirm also provides flexible spending wallets to all employees for technology and wellbeing related needs, which are reimbursable up to 1390 zł per month. In addition to your compensation, our comprehensive benefits are designed to support you and the people who matter most. Benefits include: Competitive paid time off, paid public holidays, and additional paid Away Days to rest and recharge. Comprehensive private healthcare through Lux Med's Platinum package. A MultiSport card to support your health and well-being. Learning and development programs to help you grow professionally. Family healthcare support through Maven and parental leave support through Parentaly. Mental well-being support through Lyra, including up to 12 confidential counseling or coaching sessions each year for you and your household members. Financial well-being support through Northstar, with unlimited access to Certified. Financial Advisors and planning tools at no cost to you. Employee Resource Groups (ERGs) that foster connection and inclusion. Eligibility for creative tax benefits, subject to applicable law, role, and company policy. Location - Remote Poland The majority of our roles can be located anywhere in Poland. **This job description is not a contractual document, and is not intended to have binding force.** #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 Spain 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. About the Engineering team The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering. About the role We are reinventing credit cards entirely. We are working directly with card issuers to change how credit is used throughout the world, creating new types of cards that work for both their everyday lives and large purchases with extremely straightforward, flexible terms. We are looking for a Senior Manager Software Engineering to lead teams centered around integrations with partners, processors, and internationalization.  Your mission will be to decrease the time it takes for our teams to integrate with external partners dramatically and allow us to launch cards as soon as we launch Affirm in a new country. You’ll partner with other engineering leaders in revolutionizing the way the team works, shaping the culture of engineering across Cards. You will lead from the front on AI while holding the bar high on quality.  You’ll collaborate with other managers across the organization to create a psychologically safe team.  You will work closely with stakeholders in the EU and US to build products customers want, and are scalable, reliable, and high-performing. You'll help shape best practices, guide architectural choices, and drive the successful delivery of critical initiatives. What you’ll do Hire the right people - We are still actively growing our teams in Spain and Poland. You will lead the way on hiring. Build the team culture - Set a high standard and great team culture in your growing organization. Lead the vision – Define the technical direction, long-term technical roadmap, and strategic initiatives in Cards. Be a role model - Lead from the front as an example in using AI to build fast, take initiative, and revolutionize how we work. Work closely with stakeholders across all teams at Affirm to champion and implement technical excellence in conjunction with business results Create and influence a strong ownership culture across teams, with high accountability and investment for building for scale and efficiency Mentor and lead – Guide a strong group of managers and engineers On-Call Rotation - There would be an on-call rotation for this role as a requirement. What we look for You have 10+ years of software engineering experience, including 5+ years managing engineering teams and 2+ years managing managers. You have led a multi-team engineering org through a multi-year technical strategy, breaking ambiguous requirements into deliverables that shipped. You have the technical depth to guide architecture, reliability and quality decisions across a portfolio of systems. You also let tech leads and architects make the calls. You make investment and prioritization decisions even when people disagree or consensus is incomplete, and you change course when the evidence changes. You explain strategy, risk and tradeoffs in terms that make sense to engineers, cross-functional partners and executives. You have grown managers into senior leaders and built teams where diverse perspectives are included and valued on merit. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Compensation & Benefits Base Pay Grade - R Equity Grade - Spain 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). ESP base pay range per year: €119 000 - €155 000 Additional benefits include: Flexible Spending Wallets for tech, food and lifestyle Away Days - wellness days to take off work and recharge Learning & Development programs Parental benefits Employee Resource & Community Groups Location - Remote Spain We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role. #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.

You’ll play a key role in providing technical support across the business, resolving complex infrastructure issues and contributing to internal IT projects. - Provide 3rd Line technical support to internal users via phone, Microsoft Teams and remote access.

Senior по Python и глубокого понимания алгоритмов. Python: Pyomo, OR-Tools, PuLP, COIN-OR;

Project Responsibilities: Design and ship specialist AI agents that use memory, tools, data and multi-step reasoning. Build multi-agent orchestration that routes work between specialist agents, manages dependencies and synthesises conflicting outputs.

Задачи: — Создавать и поддерживать автоматизации для команд HR, Finance, IT и Admin. — Интегрировать Slack, ClickUp, BambooHR и другие системы через API и вебхуки. — Собирать требования, разрабатывать ботов и рабочие процессы, поддерживать существующие решения. — Использовать Claude Code и Codex для разработки автоматизаций, проверки результатов и устранения сбоев. — Поддерживать интернет офиса, переговорные комнаты, камеры, микрофоны и устройства сотрудников. — Координировать закупку оборудования, вести инвентаризацию и управлять выдачей, возвратом и выкупом устройств. Требования: — Опыт в IT-поддержке или системном администрировании. — Практические знания Python или JavaScript, REST API и вебхуков. — Опыт работы с Linux, Docker, Git и пайплайнами деплоя. Условия: — Высокая зарплата. — Плоская структура и поддержка инженерной команды. — Помощь с релокацией и визой на Кипр.

Задачи: разработка потоков подключения метаданных, автоматизация и шаблонизация подключения СУБД, создание Python-скриптов для генерации DDL/DML и Airflow DAG, оптимизация DAG для таблиц Iceberg, доработка витрины и ведение проектной документации. 🧩 Требования: глубокое знание PySpark и Airflow;

Lambda is looking for an Engineering Manager Core Cloud Platform to lead cloud-platform services, technical strategy, engineering execution, and team development.

Lambda is looking for a Data Center Operations System Engineer to deploy, configure, troubleshoot, document, and maintain data center infrastructure.

В задачах — поиск уязвимостей в коде, API, мобильных и веб-приложениях, архитектурные ревью и аудиты. Нужно будет разбирать причины уязвимостей с разработчиками и автоматизировать процессы безопасности.

— Разрабатывать и поддерживать ETL/ELT-пайплайны на Python. — Интегрировать данные из API, БД, файлов и облачных хранилищ.