Location: Kent, Washington
Inspire curiosity. Build independence. Shape a lifelong love of learning.
We are offering a $1,000 sign on bonus!
At Guidepost Montessori, our Lead Teachers known as Lead Children's House Guides empower children ages 3–6 to grow into confident, capable learners through thoughtfully prepared environments and respectful, individualized guidance.
If you're passionate about early childhood education and excited to work as a Preschool Teacher leading a classroom where independence and joy take center stage, we'd love to meet you.
Your Role
As a Preschool Teacher and Lead Children's House Guide, you'll lead a mixed-age preschool classroom in a Montessori environment designed to nurture concentration, confidence, and deep learning.
As a Lead Teacher, you'll carefully prepare your classroom to spark curiosity and independence. Through close observation, individualized lessons, and intentional language, you'll support each child's academic, social, and emotional development meeting them where they are and helping them grow.
Children in Montessori classrooms have the freedom to choose meaningful work, repeat activities until mastery, and take pride in their accomplishments. As their Preschool Teacher, your guidance helps every child develop focus, confidence, and a strong belief in their own abilities.
What You'll Do
Observe each child closely to understand and support their physical, intellectual, and emotional development
Prepare and maintain a beautiful, orderly classroom that fosters concentration and independence
Encourage self-confidence by supporting children as they learn to "do it themselves"
Provide individualized and small-group lessons in practical life, literacy, math, and beyond
Build strong, respectful relationships with children and families
Communicate and collaborate with parents to support each child's growth
Lead your classroom with warmth, professionalism, and purpose, as both a Lead Teacher and a trusted Preschool Teacher for every family you serve
The Montessori Prepared Environment
Every Guidepost Children's House classroom is fully equipped with high-quality Montessori materials and designed around the principles of beauty, order, and accessibility.
A Guidepost Children's House environment includes:
Child-sized furniture and ample floor space for independent and small-group work
Practical life materials for sweeping, food preparation, table setting, and care of the environment
Curriculum that builds independence in dressing, feeding, and self-care
Hands-on materials for literacy, math, science, and cultural studies
Low shelves and child-level artwork for full accessibility
Cozy reading spaces, real plants, and abundant natural light
Beautiful, breakable materials made from wood, metal, and glass
What We're Looking For
Montessori diploma for ages 3–6, or willingness to obtain certification (fully sponsored)
Experience working as a Preschool Teacher or Lead Teacher with children ages 3–6 in a group learning environment
Alignment with child-led philosophies such as Montessori or Reggio Emilia
Required ECE or Child Development credits
Bachelor's degree (any field)
What We Offer
Sponsored Montessori diploma training through the Prepared Montessorian Institute
Ongoing professional development and mentorship for Preschool Teachers and Lead Teachers at every stage of their career
Competitive salary: $40,000–$50,000
Health, dental, and vision insurance
Paid time off and paid holidays
75% tuition discount for up to two children at any Guidepost school
A supportive network of passionate educators
Clear opportunities for career growth and leadership advancement, from Lead Teacher to campus leadership roles
About Guidepost Montessori
Guidepost Montessori is a growing network of over 80 schools across the U.S. and Asia, serving children ages 3 months to 6 years in our Nido, Toddler, and Children's House programs.
We believe children are capable. Our mission is to transform education by designing learning environments and empowering the Preschool Teachers and Lead Teachers who bring them to life that cultivate independence, joy, and lifelong curiosity for children, families, and educators alike.
Guidepost Global Education and Guidepost Montessori are committed to a policy of Equal Employment Opportunity (EEO). We will not discriminate on the basis of age, sex, race, color, creed, religion, ethnicity, sexual orientation, gender identity, gender expression, national origin, alienage or citizenship, disability, marital status, military or veteran status, or any other legally recognized protected basis under applicable federal, state or local laws, regulations or ordinances. Our leadership is dedicated to ensuring the fulfillment of this policy. When requested, we are committed to reasonably accommodate employees and applicants with disabilities or special needs that may require an accommodation.
Location: Remote - United States
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
We are seeking an experienced Technical Recruiter to support high-volume and specialized hiring efforts for technical roles across our organization. The ideal candidate has a proven track record of successfully recruiting Data Scientists, Machine Learning Engineers, AI Engineers, and other highly technical talent in a fast-paced environment.
This is a full-time position with the opportunity to make an immediate impact by building strong candidate pipelines and partnering closely with hiring managers to fill critical technical roles.
Key Responsibilities
Manage the full-cycle recruitment process from intake through offer acceptance.
Partner with hiring managers to understand technical hiring needs, required skills, and team objectives.
Source, identify, and engage passive candidates using LinkedIn Recruiter,
job
boards, networking, and other sourcing tools.
Recruit for highly specialized technical positions, including:
Data Scientists
Machine Learning Engineers
AI Engineers
MLOps Engineers
Data Engineers
Software Engineers (Python, Cloud, AI)
Screen resumes and conduct initial candidate interviews to evaluate technical qualifications, communication skills, and cultural fit.
Coordinate interview schedules and maintain consistent communication with candidates and hiring managers throughout the recruitment process.
Build and maintain talent pipelines for future hiring needs.
Ensure an exceptional candidate experience from first contact through onboarding.
Track recruiting metrics and maintain accurate records in the Applicant Tracking System (ATS).
Stay current on market trends, compensation, and emerging technologies within AI and machine learning.
Required Qualifications
5+ years of full-cycle technical recruiting experience.
Demonstrated success recruiting
Data Scientists, Machine Learning Engineers, AI Engineers, and other advanced technical professionals.
Strong understanding of technical terminology, AI/ML concepts, cloud technologies, and software engineering roles.
Experience sourcing passive candidates through LinkedIn Recruiter and other recruiting platforms.
Excellent interviewing, communication, and relationship-building skills.
Experience working with Applicant Tracking Systems (ATS).
Ability to manage multiple requisitions simultaneously while meeting hiring deadlines.
Preferred Qualifications
Experience recruiting for startup or high-growth technology companies.
Familiarity with cloud platforms (AWS, Azure, or Google Cloud).
Experience hiring professionals with expertise in Python, SQL, TensorFlow, PyTorch, Spark, Kubernetes, or similar technologies.
Experience recruiting for remote and distributed engineering teams.
The expected salary range for this position is $140,000 – $160,000 USD per year, based on experience, skills, and qualifications.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Remote - Europe, Americas
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
Your Role:
We’re looking for a Senior Software Engineer to build the developer platform that agents and partners use to integrate and build on. You evolve Alpaca’s MCP servers, tools, and skills, and you build the APIs behind them.
You play a central role to define the architecture that provides the fastest time to market for integrators. Builders who embed Alpaca for their end users all use this surface.
This is a hands-on role. You will lead through architecture, code, design reviews, and mentorship, and you will ship the first version yourself. You will partner with Product, Compliance, Risk, and Platform Engineering teams.
Things You Get To Do:
Design and build Alpaca’s agent-facing developer platform: MCP servers, tools, skills, and the APIs behind them.
Evolve that platform as the MCP protocol and connector, plugin, and skill standards change.
Build new APIs that make trading and account capabilities available to apps and agents.
Decide which components the platform renders, so developers and partners build apps faster from shared building blocks.
Keep Alpaca’s execution model current with the MCP protocol and with connector, plugin, and skill standards, and translate what changes into the application architecture of the developer platform.
Own production reliability and quality for the services you build.
Mentor engineers and raise the quality of design and implementation in this area.
Who You Are (Must-Haves):
5+ years of software engineering experience, with ownership of production systems that other developers use.
Shipped a developer-facing API, SDK, or platform as a primary contributor.
Enough MCP architecture to work with stateless and stateful behavior, and experience building to MCP, or to connector, plugin, or skill standards, as they have changed in production.
Strong API design, including schemas, compatibility, and responses other developers can rely on.
Proficiency in Python or TypeScript, and a willingness to work primarily in Go.
Strong architectural judgment, with a record of shipping while requirements are still being defined.
Clear communication with engineers, product, compliance, and risk partners.
Who You Might Be (Nice-to-Haves):
Experience shipping developer-facing tools, SDKs, or MCP servers.
Experience building agents with a framework such as LangChain.
Experience or understanding of financial markets
Production experience with Go.
Experience working at a startup.
Experience working remotely.
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Location: Remote - Americas, Europe
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
We’re looking for a Senior Software Engineer to design and ship autonomous execution for agents acting on Alpaca accounts. The same platform has to serve external algorithmic traders, partners building products on Alpaca, operators, and partners who embed Alpaca so their end users’ agents can act.
You will design and ship account-level policy and the checks on the path in front of our trading and risk systems. You will work with the engineers who own our MCP servers, tools, and skills, and with the team that owns authentication and authorization. You will help Product, Compliance, and Risk shape the control model, and you will ship the implementation.
This is a hands-on role. You will not manage people directly. You will lead through architecture, code, design reviews, and mentorship, and you will ship the first version yourself. You will partner with Product, Compliance, Risk, and the team that owns identity and authorization to define the control model. Broker risk controls stay with the teams that own them.
Things You Get To Do:
Lead the application architecture for safe agent execution, from the tool call through to our trading systems.
Design and build the account-level policy and guardrails for external agent actions.
Own the services that evaluate those rules on the path into our trading systems.
Define how agent-initiated trading actions behave, with the engineers who own our tools and skills.
Keep Alpaca’s execution model current with the MCP protocol and with connector, plugin, and skill standards, and translate what changes into account policy, guardrails, and trading actions.
Partner with Product, Compliance, Risk, and the identity platform to define the control model and ship it.
Own production reliability for the policy and guardrail services.
Review designs across teams and guide the technical decisions where agent actions meet brokerage systems.
Mentor engineers and raise the quality of design and implementation in this area.
Who You Are (Must-Haves):
5+ years of software engineering experience, building and operating production backend systems. Evidence of scope and ownership matters more than a strict year count.
Shipped autonomous execution: software that took actions under an explicit policy without a person approving each action, and that rejected or stopped actions outside that policy.
Designed and implemented account-level policy in an application: durable rules for what a caller may do, enforced on the action path, with an audit of the decision.
Enough MCP architecture to work with stateless and stateful behavior, and experience building to MCP, or to connector, plugin, or skill standards, as they have changed in production.
Able to define, with Product, Compliance, and Risk, which account rules allow an unattended action.
Proficiency in Python or TypeScript, and a willingness to work primarily in Go.
Strong architectural judgment, with a record of shipping while requirements are still being defined.
Clear communication with engineers, product, compliance, and risk partners.
Who You Might Be (Nice-to-Haves):
Experience with agent identity and authorization, such as OAuth, tokens, scopes, and delegated access, and comfort partnering with the team that owns that platform.
Experience shipping developer-facing tools, SDKs, or MCP servers.
Experience building agents with a framework such as LangChain.
Experience or understanding of financial markets.
Experience working at a startup.
Experience working remotely.
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Location: San Francisco, California
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
Notion's mission is to make toolmaking ubiquitous—from wikis and documents to notes, tasks, and databases. Strong product intuition and user focus have driven adoption across organizations of all sizes. Millions of users now rely on Notion's building blocks to get work done.
As Notion scales, there's a unique opportunity to build the data foundations that help our product and company reach their full potential. You'll design and build reliable, trusted datasets that accelerate decision-making across product and business functions, directly impacting our roadmap and growth.
This role is based in our San Francisco Headquarters. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Define ETL processes and infrastructure to make data readily available across the company
- Build core datasets as single sources of truth for product and business teams (product, marketing, sales, finance, customer experience, data science, operations, IT, engineering)
- Partner with data scientists and stakeholders to understand their needs and design, build, and monitor pipelines that scale with our growing data
- Implement automated workflows that reduce operational costs, define SLAs for timely data delivery, and democratize data through self-serve dashboards, discovery tools, and AI-enabled exploration
SKILLS YOU'LL NEED TO BRING:
- Self-starter who gathers high-impact needs from business partners, designs technical solutions, and communicates clearly about deliverables, timelines, and tradeoffs
- 5+ years of experience as a data engineer building core datasets and supporting business functions, with a passion for analytics, data modeling, and solving complex problems
- Strong understanding of scalable cloud data solutions (AWS, GCP, Azure) across multiple data stores (Snowflake, Redshift, Hive, SQL/NoSQL, columnar formats) and methodologies (dimensional modeling, data marts, schemas)
- SQL expert, proficient with aggregation, window functions, UDFs, self-joins, and optimization techniques for writing correct, high-performance queries
- Highly comfortable with object-oriented programming (Python, Java, Scala)
- Expert at using AI and agent-based tools to accelerate data development for yourself and others, including defining guardrails, workflows, and context for safe, production-scale data work
NICE TO HAVES:
- Experience at a fast-scaling or SaaS company, with enthusiasm to contribute in such an environment (current Notion users especially welcome)
- Hands-on experience designing and building highly scalable, reliable data pipelines using BigData stack tools (e.g., Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift)
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $179,000 - $200,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Задачи:
— Повышать эффективность пайплайнов для расчёта daily‑признаков на базе batch‑процессинга.
— Создавать пайплайн для realtime‑признаков на основе Kafka‑топиков.
— Проектировать и разрабатывать сервисы для обработки миллиардов пользовательских событий.
— Решать инженерные задачи по расчёту метрик и построению витрин.
— Работать с потоками данных и интеграциями между CDP и другими системами 2ГИС.
— Участвовать в формировании архитектурных решений.
— Взаимодействовать с аналитиками, продактами и инженерами.
Требования:
— Опыт работы с highload‑системами.
— Опыт проектирования архитектуры данных или платформенного кода.
— Опыт работы с Kafka, ClickHouse либо аналогичными системами потоковой и аналитической обработки данных.
— Уверенное понимание и умение применять Spark.
— Владение одним из языков программирования (например, Python или Scala).
— Самостоятельность и проактивность в поиске решений.
— Ориентация на создание продукта с учётом бизнес‑логики.
— Плюсом будет опыт работы с Airflow.
— Навыки анализа данных на SQL.
— Знание инструментов контроля качества данных (Data Quality, Data Contracts).
— Опыт построения Data Lineage и работы с Data Catalog.
— Понимание подходов к персонализации, сегментации или real‑time‑аналитике.
— Понимание работы S3‑хранилища.
Задачи:
— Разработка ETL/ELT процессов для хранилищ данных и озер данных
— Оптимизация SQL запросов, включая OLAP задачи
— Создание DAG’ов и управление зависимостями ETL-пайплайнов с использованием Apache Airflow
Требования:
— Опыт работы от 2-х лет в качестве инженера данных, разработчика ETL на SQL и Pyspark
— Опыт работы с SQL, PostgreSQL, Apache Airflow, API, веб-сервисами, очередями и другими технологиями интеграции данных
— Навыки оптимизации SQL для OLAP
— Экспертиза в реализации ETL/ELT
— Базовый уровень владения Apache Hadoop (Spark, Hive или Impala)
— Опыт работы с брокерами сообщений Kafka, RabbitMQ
— Опыт работы с S3 Minio и Apache Iceberg
Условия:
— Удалённая работа, полный рабочий день
— Оформление по ИП/ГПХ
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 role
We are looking for a Staff Machine Learning Engineer to be the technical leader building high-quality production-grade models powering credit lending decisions in countries across Europe and in Australia. You will use 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 how machine learning fuels Affirm’s global expansion. 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
* 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 with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities needed for scalable international expansion.
* You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
* You will foster a culture of quality and ownership on your team by setting code review and design standards.
* You will help develop talent on your team by providing feedback and guidance, and leading by example.
What we look for
* 8+ years of experience researching, designing, deploying, and operating large-scale, real-time machine learning systems. A relevant PhD can count for up to 2 YOE.
* Strong Python skills and experience writing production-quality code.
* Experience building and evaluating models for tabular classification problems (including gradient-boosted decision trees like LightGBM/XGBoost, and deep learning frameworks like PyTorch).
* Experience working with distributed data processing or parallel compute frameworks (e.g. Spark, Ray).
* Experience with ML lifecycle tooling for training orchestration, experimentation, and model monitoring (e.g., Kubeflow, Airflow, MLflow).
* Proficient in using AI-powered developer tools (e.g., Claude Code, Codex, Cursor) to accelerate the model development lifecycle.
* Strong engineering skills and the ability to provide hands-on technical leadership while working with our code and architecture.
* Strong verbal and written communication skills that support effective collaboration with our global engineering team.
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
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.
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 - North America - Europe
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
As a Senior Product Engineer on the Acquisition team, you will build the tools and services that help developers launch applications on Alpaca. That covers everything from how accounts and identity are set up to the APIs and SDKs partners integrate with. You will work mostly in Go services, with some TypeScript and React.
You will help shape the plan as well as deliver it, and you will own the onboarding experience while dedicated teams support with domain expertise. Exciting challenges wait in central parts of the onboarding process, such as identity, accounts and payments. You will work closely with respective teams to design APIs, challenge existing assumptions, and ship together.
Things You Get To Do:
Design and build APIs, SDKs, and Go services that let partners build experiences on Alpaca
Own partner journeys from first sign-up through a working integration
Contribute across teams' codebases on identity, accounts, payments, and onboarding, and collaborate with those teams on API design
Turn ambiguous business goals into actionable plans, and help shape the roadmap for a new area
Use data and partner feedback to understand where developers get stuck and what to build next
Who You Are (Must-Haves):
5+ years building production backend services and APIs in Go or another modern backend language
Experience designing REST APIs, and strong SQL and relational database skills, preferably PostgreSQL
Able to ship frontend work in TypeScript and React when needed
Experience owning a customer or developer journey end to end, such as onboarding, sign-up, activation, or an integration, and able to speak to the business outcome, not just the code
A track record of contributing to codebases owned by other teams and driving cross-team work to completion
Experience with OAuth, OIDC, or similar authorization systems
Who You Might Be (Nice-to-Haves):
Experience building products for external developers, such as public APIs, SDKs, or developer documentation
Experience with developer platforms, partner portals, or marketplaces
Experience with multi-tenant account or identity models
Experience in fintech, payments, identity verification (KYC), or other regulated industries
Experience on a growth team or at an early-stage company, shipping whatever it takes to move an outcome
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Location: Москва
Мы ищем аналитика данных в команду, которая отвечает за профиль клиента — физического лица. Наши цели — обогащение профиля данными, рост доходности от коммуникаций по текущим клиентам и привлечение новых клиентов в Сбер. Вы будете работать с большими данными, искать точки роста и превращать цифры в решения, которые влияют на бизнес-результат.
Обязанности
\- выгрузка и анализ данных (Hadoop) для аналитических задач и ad-hoc запросов
\- формулирование и проверка гипотез, A/B-тесты, оценка эффекта от изменений в процессах и продуктах
\- проектирование и разработка дашбордов и регулярной отчётности в BI
\- перевод бизнес-потребности в аналитические задачи и метрики, подготовка выводов с конкретными рекомендациями
\- презентация результатов продуктовым командам и руководству.
Требования
\- SQL на продвинутом уровне: оконные функции, оптимизация запросов, работа с большими таблицами
\- опыт работы с Hadoop / Spark (знание PySpark как преимущество)
\- Python для анализа данных (Pandas, NumPy, SciPy)
\- опыт построения дашбордов в BI-системах (Tableau/Power BI или аналоги)
\- знание статистики: A/B-тестирование, корреляции, распределения, проверка гипотез
\- опыт работы в банке с клиентскими данными будет плюсом.
Условия
* комфортный современный офис рядом с м. Кутузовская
* ежегодный пересмотр зарплаты, годовая премия
* корпоративный спортзал и зоны отдыха
* уникальная система обучения Сбера для профессионального и карьерного развития
* расширенный ДМС и льготное страхование для семьи
* гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
* подписка Прайм с возможностью совместного использования на трёх близких
* вознаграждение за рекомендацию друзей в команду Сбера
* корпоративная пенсионная программа.
— развивать систему продуктовых и бизнес-метрик: определять логику расчета, следить за качеством данных и помогать командам правильно использовать метрики; — разбираться в задачах, где на старте еще нет четко сформулированного аналитического запроса: уточнять проблему, выбирать методологию и строить план исследования;
УдалённоseniorГеография найма не уточнена, офис: Белград
Location: San Francisco, CA or Remote, US
Our vision is to build the next generation platform to enable easy and fast creation of audio and video content powered by cutting-edge AI. Building a revolutionary way to record, transcribe, edit, and mix spoken audio and video comes with a series of unique challenges and requires solving hard and complex problems.
As a lead product data scientist on the team, you will play a critical role in shaping our growth strategy, up-leveling our experimentation culture, and scaling our business.
What You’ll Do
Conduct in-depth analysis to shape product PLG motion and B2B strategy.
Develop deep understanding of the product ecosystem and identify opportunities to drive activation, engagement, and monetization through actionable insights.
Leveraging AI tools to build and maintain self-service analytics enabling stakeholders to access reliable metrics, size opportunities, design experiments, and interpret results independently.
Improve execution rigor of product teams by owning success metrics and opportunity sizing.
Brain buddy with product and engineering teams for day-to-day experiment design, deployment, and analysis. Provide creative solutions for tricky experimentation scenarios.
Evolve experimentation culture and practices within the company.
What You Bring
5–8 years of experience in a Data Scientist or similar role.
3+ years working in a growth function.
Strong business and product intuition to identify opportunities in the growth ecosystem.
Strong knowledge of statistical analysis and A/B tests.
Strong SQL skills and proficient in at least one programming language such as Python or R.
Excellent communication and collaboration skills.
Curiosity, savviness to navigate in a dynamic environment, and a growth mindset.
Having worked at a fast-growing start-up is a plus.
The base salary range for this role is $200,000 - $250,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, level, and may vary from the amount above.
About Descript
Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors (
OpenAI
,
Andreessen Horowitz
,
Redpoint Ventures
,
Spark Capital
).
Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company.
Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time.
Our headquarters
are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles. For those who are remote, we have a handful of opportunities throughout the year for in person collaboration. For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.
Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive.
УдалённоRemote - United States
Brazil - Remote
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