Location: United States - Remote
Please note that we are unable to consider applications from candidates based in France, Italy, or Germany for this role.
Money is moving onto the internet, and the shift has a name:
Open Money.
This is money that is open, portable, agentic, and owned by you. MetaMask spent the last ten years building it; with 100M+ downloads, users in ~190 countries, and trillions in cumulative transaction volume, it's the most trusted self-custodial financial platform on the internet. Now we're building the operating system for your money: one place to hold, move, grow, and use anything you own. Join a remote-first, global team rebuilding how money works: a problem that touches everyone, every day.
What you'll do
As a Senior Software Engineer, you will:
Architect, build, and maintain features related to digital assets across MetaMask Clients, including ERC-20 tokens, NFTs, Token Lists, and Token Detail Pages
Develop and support core wallet controllers that manage asset state and data throughout the MetaMask ecosystem
Expand asset support to include emerging standards such as Real World Assets (RWAs)
Help create intuitive, efficient, and secure Web3 interactions that delight users
Collaborate with product managers, designers, and other engineers to deliver high-quality features
Participate in code reviews and help maintain high code quality standards
Requirements:
3+ years working with mobile-based technologies
3+ years building websites and/or applications
Experience with React and React Native
Strong knowledge of modern Javascript (ES6/TypeScript/etc.)
Familiarity with blockchain fundamentals and Web3 integration
Working knowledge of cross platform/browser compatibility
Experience working with APIs and middleware services
Experience working in an agile development team
Experience developing applications with clean code practices, testing, and adherence to coding standards
Understanding of web-based security considerations
Bonus Points:
Experience with token standards (ERC-20, ERC-721, ERC-1155, RWAs) and token list management
Experience with DeFi protocols, token swaps, or fiat on/off ramps
Knowledge of financial products in the digital space
Interest in blockchain technologies and Web3
Basic understanding of cryptography principles
Experience working in distributed teams
Previous experience working in Web3
Familiarity with the Web3 wallet ecosystem
Experience with performance optimization
Other skills to demonstrate:
Good verbal and written communication in English
Teamwork, flexibility, and organization
Eagerness to learn and grow your technical skills
Ability to balance technical quality with business needs and user experience
Don't meet all the requirements? Don't sweat it. We’re passionate about building a diverse team of humans and as such, if you think you've got what it takes for our chaotic-but-fun, remote-friendly, start-up environment—apply anyway, detailing your relevant transferable skills in your cover letter. While we have a pretty good idea of what we need, we're ready for you to challenge our thinking on who needs to be in this role.
The salary range listed for this role applies to US-based candidates only. Compensation for candidates based outside the US (including Canada, EMEA, and LATAM) will be determined based on location, experience, and skills during the interview process, and may differ from the listed US range.
US pay range (not including bonus, equity or other benefits)
$139,000
—
$210,000 USD
In the rapidly evolving Web3 space, we believe that everyone is a builder. This expansive paradigm requires a range of backgrounds, talents, skills, and experiences to influence and shape the future. At MetaMask, this diversity fuels our ability to shift control and redefine the realm of possibility. We are committed to ensuring that our technology empowers people and communities through decentralized technologies. We welcome the range of perspectives and differences and celebrate them. We're excited to see how your unique skills as a builder can contribute to our vision, drive innovation, and help us shape a more inclusive Web3.
MetaMask is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law.
MetaMask is aware of fraudulent recruitment practices and we encourage all applicants to review our best practices to protect yourself, which can be found on our page.
MetaMask may use artificial intelligence (AI) tools to support parts of our recruitment process, such as reviewing applications, screening resumes, or conducting initial candidate assessments. These tools are designed to assist our recruiting team and improve efficiency — they do not replace human judgment. A human recruiter or hiring manager reviews every candidate, and all final hiring decisions are made by people, not AI.
It is a requirement of employment in this position that applicants may be required to submit to background and identity verification checks, including but not limited to employment, education, criminal record checks, and other such checks as determined necessary by the company.
Location: Singapore; Philippines; Albania; Ukraine; Indonesia; Australia; Serbia; Thailand; Khazakstan; Armenia; Türkiye; Romania
Workplace: Remote
Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones)
Start Date: ASAP
Languages: English
Team: Engineering
ABOUT THE ROLE
Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand.
We are looking for a Research Engineer, Synthetic Data to build the synthetic data pipeline. You will turn domain-specific workflows into synthetic training tasks that are realistic enough to teach useful behaviour, structured enough to generate at scale, and difficult enough to expand model capabilities.
This is a hands-on research engineering seat, not a commercial or privacy-systems role. You will design how synthetic tasks are created, mutated and validated, and you will analyse what those tasks actually teach models and agents.
This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring.
WHAT YOU'LL DO
- Work with subject-matter experts to create synthetic tasks for training AI agents across a range of professional and technical domains.
- Design synthetic task-generation methods that produce diverse, realistic and learnable tasks.
- Build systems and tooling to mutate, validate and improve synthetic tasks.
- Analyse model and agent performance on synthetic tasks to understand what the tasks are teaching and where they fail.
- Develop metrics to quantify and understand synthetic task diversity, realism, learnability and related qualities.
- Take synthetic data pipelines from early research through to reliable systems, including in areas where the roadmap is not fully prescribed.
WHAT WE'RE LOOKING FOR
- Proficiency in Python, Docker and Linux environments.
- Experience with synthetic data research methods — please be ready to describe this in your application.
- A strong understanding of what “good synthetic data” means, and of its limitations.
- Experience building synthetic data pipelines end to end, including where there was no fully prescribed roadmap.
- Experience working on environments, evals or benchmarks.
- Clear written and spoken English, and comfort collaborating remotely across time zones.
- Strong candidates may also be detail-oriented enough to catch subtle inconsistencies or edge cases in synthetic data; able to reason from first principles about task design, scoring and failure modes; and comfortable in unstructured problem spaces or early-stage environments.
- Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above.
WHY THIS ROLE MATTERS FOR YOU
- Build the synthetic data pipeline: You will design the tasks and systems that generate training data at scale, not only run experiments on someone else's pipeline.
- Research that has to work in production: Turn messy, domain-specific workflows into tasks that are realistic, measurable and usable for training agents.
- See what the data actually teaches: Analyse model and agent performance, and improve the tasks when they fail.
- High ownership, unstructured problems: You will build without a fully prescribed roadmap, from method design through tooling and metrics.
- San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring.
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
Location: United States; Colombia; Sacramento; Los Angeles; San Francisco; Canada; Costa Rica; Mexico
Workplace: Remote
Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones)
Start Date: ASAP
Languages: English
Team: Engineering
ABOUT THE ROLE
Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand.
We are looking for a Research Engineer, Synthetic Data to build the synthetic data pipeline. You will turn domain-specific workflows into synthetic training tasks that are realistic enough to teach useful behaviour, structured enough to generate at scale, and difficult enough to expand model capabilities.
This is a hands-on research engineering seat, not a commercial or privacy-systems role. You will design how synthetic tasks are created, mutated and validated, and you will analyse what those tasks actually teach models and agents.
This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring.
WHAT YOU'LL DO
- Work with subject-matter experts to create synthetic tasks for training AI agents across a range of professional and technical domains.
- Design synthetic task-generation methods that produce diverse, realistic and learnable tasks.
- Build systems and tooling to mutate, validate and improve synthetic tasks.
- Analyse model and agent performance on synthetic tasks to understand what the tasks are teaching and where they fail.
- Develop metrics to quantify and understand synthetic task diversity, realism, learnability and related qualities.
- Take synthetic data pipelines from early research through to reliable systems, including in areas where the roadmap is not fully prescribed.
WHAT WE'RE LOOKING FOR
- Proficiency in Python, Docker and Linux environments.
- Experience with synthetic data research methods — please be ready to describe this in your application.
- A strong understanding of what “good synthetic data” means, and of its limitations.
- Experience building synthetic data pipelines end to end, including where there was no fully prescribed roadmap.
- Experience working on environments, evals or benchmarks.
- Clear written and spoken English, and comfort collaborating remotely across time zones.
- Strong candidates may also be detail-oriented enough to catch subtle inconsistencies or edge cases in synthetic data; able to reason from first principles about task design, scoring and failure modes; and comfortable in unstructured problem spaces or early-stage environments.
- Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above.
WHY THIS ROLE MATTERS FOR YOU
- Build the synthetic data pipeline: You will design the tasks and systems that generate training data at scale, not only run experiments on someone else's pipeline.
- Research that has to work in production: Turn messy, domain-specific workflows into tasks that are realistic, measurable and usable for training agents.
- See what the data actually teaches: Analyse model and agent performance, and improve the tasks when they fail.
- High ownership, unstructured problems: You will build without a fully prescribed roadmap, from method design through tooling and metrics.
- San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring.
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
Location: Singapore; Philippines; Albania; Ukraine; Indonesia; Australia; Serbia; Thailand; Khazakstan; Armenia; Türkiye; Romania
Workplace: Remote
Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones)
Start Date: ASAP
Languages: English
Team: Engineering
ABOUT THE ROLE
Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand.
We are looking for a Research Engineer, Privacy and Anonymization to build the systems that make sensitive, real-world data safe and still useful for AI training. You will develop methods to detect and remove personally identifiable information, secrets and other sensitive content from raw data before it enters processing and synthetic data pipelines — protecting privacy without destroying the structure and signal that make the data valuable for training agents.
This is a privacy and data-protection engineering seat, not a synthetic-task design role. You will own the pipeline that stands in front of downstream processing, training, evaluation and synthetic generation.
This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring.
WHAT YOU'LL DO
- Build systems to detect PII, quasi-identifiers, credentials and other sensitive information, and design transformations based on the data type and the downstream use case.
- Develop and benchmark detection approaches that combine rules, statistical models, classifiers and LLM-based methods.
- Build production pipelines that anonymize raw data before it enters downstream processing, training, evaluation or synthetic data generation.
- Create evaluation frameworks that measure privacy risk and retained data utility, including recall-weighted metrics, leakage tests and adversarial re-identification attempts.
- Design systems that stay robust to new data sources, schema drift, unusual formats and sensitive information embedded in unexpected fields.
- Work with engineering, research, operations and customers to translate privacy requirements into practical technical policies and safeguards.
WHAT WE'RE LOOKING FOR
- Strong proficiency in Python, and experience building reliable production data or machine-learning systems.
- Experience with information extraction, named-entity recognition, classification, or related methods for detecting rare or sensitive content.
- Strong experimental instincts, and the ability to compare approaches across recall, precision, latency, cost and downstream data utility.
- An understanding of the difference between redaction, masking, pseudonymization, anonymization and synthetic data — and when each is appropriate.
- High attention to detail, and the ability to reason about subtle leakage paths, edge cases and adversarial failure modes.
- Experience building data-processing pipelines end to end, including where there was no fully prescribed roadmap.
- Clear written and spoken English, and comfort collaborating across teams and time zones.
- Strong candidates may also have hands-on experience with privacy-enhancing technologies (such as differential privacy, k-anonymity, secure aggregation or format-preserving encryption); have worked with sensitive data in healthcare, finance or security; have built low-latency or high-throughput ML inference or data-processing systems; or have taken work from early research through to production.
- Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above.
WHY THIS ROLE MATTERS FOR YOU
- Make real-world data safe to train on: You will build the systems that let sensitive data be used for AI training without exposing people or secrets.
- Privacy without wrecking utility: The job is not only to redact, but to keep the structure and signal that downstream training and synthetic pipelines need.
- From detection to production: You will own the full path: detection methods, transformations, evaluation, and the pipeline that sits in front of training and generation.
- Hard, high-stakes edge cases: Work on leakage paths, schema drift and adversarial failure modes, not only clean benchmark datasets.
- San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring.
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
Location: San Juan, Puerto Rico; New York, NY; District of Columbia; Europe | Spain
Workplace: Hybrid
About the Company
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Norwest, Galaxy Ventures, Dragonfly, Bessemer Venture Partners, FirstMark, Lightspeed, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
Our Ethos
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
About the role
Rain builds payments and stablecoin infrastructure. Finance, Risk, Compliance, and our partners rely on data from card transactions, settlements, ledger entries, and onchain transfers.
We’re looking for a Data Engineer with batch and streaming experience to bring this data into our warehouse and keep it correct. You’ll build scalable, idempotent pipelines that handle late and duplicate data and alert us when something breaks.
At Rain, everyone models data, writes production-quality code, and automates their own workflows. We use AI to speed up repetitive work, but we own and check the results. In this role, you’ll automate ingestion and quality checks so new sources come online quickly and stay trustworthy.
What you’ll do
- Build scalable batch and streaming pipelines, choosing the right approach for latency, cost, and correctness.
- Process events near real time, handling deduplication, windowing, and late or out-of-order events.
- Own batch ingestion from databases (CDC), files (SFTP and GCS), APIs, and onchain sources.
- Build incremental dbt models that handle late data, duplicates, CDC deletes, and backfills; reconcile streaming and batch outputs.
- Orchestrate pipelines in Dagster with sensors, schedules, and alerts.
- Add freshness, volume, and reconciliation checks to every source, and fix root causes.
- Work with backend pods on event and table contracts to prevent downstream breakage.
- Partner with Analytics Engineers, Data Scientists, and Risk on their data needs, including ML features.
What you’ll need
- At least 3 years building production data solutions, including owning both batch and streaming pipelines end to end, from source to warehouse.
- Experience designing data solutions at scale.
- Strong SQL and Python / Rust, plus experience with a cloud data warehouse such as BigQuery, ClickHouse, or Snowflake and an understanding of their trade-offs.
- Streaming experience with tools such as Pub/Sub, Kafka, Dataflow/Beam, or Flink.
- Batch experience with dbt and an orchestrator such as Dagster or Airflow.
- Experience with production data quality testing, monitoring, and reconciliation.
- Ability to debug across the source database, pipeline, warehouse, and report.
- Ability to use AI tools to learn and work faster while checking their output.
Nice to have
- Building offline and real-time ML feature pipelines, such as fraud or risk features.
- Working with payments, banking, or blockchain data, including EVM or Solana events and indexers.
- Using CDC and ingestion tools such as Datastream, Debezium, Meltano, Fivetran, or Airbyte.
- Experience with GCP.
Things that enable a fulfilling, healthy and happy experience at Rain:
Flexible time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
Location: San Juan, Puerto Rico; New York, NY; District of Columbia; Europe | Spain
Workplace: OnSite
About the Company
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Norwest, Galaxy Ventures, Dragonfly, Bessemer Venture Partners, FirstMark, Lightspeed, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
Our Ethos
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
About the role
Rain is building payments and stablecoin infrastructure, and our data platform holds some of the most sensitive data a company can have: cardholder, ledger, and partner data across many countries.
We’re looking for a Data Platform Engineer who has built and run data platforms for both batch and streaming to own the platform our data team and engineering pods depend on: the warehouse, streaming infrastructure, orchestration, BI, ML platform, access controls, and the tooling that makes all of it safe, reliable, and cost-efficient. Your product is the platform, and your customers are the engineers, analysts, and scientists who build on it.
You’ll own the platform layer: the data and ML platform, the infrastructure for ingestion and processing in batch and streaming, data governance and security compliance, the warehouse, and the analytics and BI tooling. Data Engineers, Analytics Engineers, Data Scientists, and engineering pods build on it to run experiments, operate reliably, and turn data into decisions.
At Rain, we’re builders who use AI to automate repetitive work. That changes what data roles look like: where a data scientist used to only analyze and an analyst used to only build dashboards, here everyone models data, writes production-quality code, and automates their own workflows. You own the result, including checking what the AI produces. For this role, that means automating access, deploys, and governance so the platform runs itself and stays compliant.
What you’ll do
- Design and build data platforms at scale for both batch and streaming, choosing storage, compute, and processing based on latency, cost, and reliability needs.
- Own the infrastructure for BigQuery, streaming (such as Pub/Sub or Kafka, and Dataflow or Flink), Dagster+, and Lightdash as code, including environments, CI/CD, and deploys.
- Own access and governance: IAM, policy tags, PII contracts, masked and no-PII access paths, and audit logs, across tables and streams.
- Provide ML platform capabilities: feature pipelines, training data, and serving real-time features to fraud and risk models.
- Build platform tooling: templates, CI checks, schema registry and data contracts, catalog, and lineage.
- Monitor platform reliability, latency, and cost, and fix what is slow or expensive.
- Design how backend events and CDC land in the warehouse, and advise backend pods on event design.
- Respond to platform incidents and access requests, and automate the repetitive ones away.
What you’ll need
- At least 4 years building and running data platforms in production on a cloud provider such as GCP, AWS, or Azure, in both batch and streaming: you have operated infrastructure for each, not only one.
- Experience designing data platforms at scale: storage and compute choices, multi-team access, reliability, and cost.
- Experience operating cloud data warehouses and real-time stores such as BigQuery and ClickHouse.
- Experience operating streaming infrastructure such as Pub/Sub, Kafka, Dataflow, or Flink, including retention, schema evolution, replay, and lag monitoring.
- Experience operating batch infrastructure: orchestration (Dagster or Airflow), CI/CD, and environments.
- Infrastructure as code with Terraform.
- Experience with access control and data governance, such as IAM, column- or row-level security, and PII handling.
- Strong Python and SQL.
- Proficiency using AI tools to learn new skills and accelerate your work, while taking responsibility for checking the output.
Nice to have
- ML infrastructure experience, such as feature stores, Vertex AI, or model serving.
- Experience in regulated environments such as payments, banking, PCI, or SOC 2.
- Experience with data catalogs and lineage tools.
- Experience with cost optimization in BigQuery, ClickHouse, or Snowflake.
- Experience with CDC tools such as Datastream or Debezium.
Things that enable a fulfilling, healthy and happy experience at Rain:
Flexible time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
Location: Timisoara, Romania
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
Are you eager to elevate your HR career within an innovative global tech company where your contributions have a tangible impact? Welcome aboard! We're in search of dynamic, diligent HR enthusiasts eager to help us take the Wolt employee experience to the next level. If you're driven by the challenge of navigating the complexities of HR and aspire to make a meaningful difference in team members’ lives, your search ends here!
The People Team at Wolt consists of about 200 HR, Talent, Tech, Payroll and Talent Acquisition professionals located in Helsinki, Budapest, Copenhagen, Berlin, Tel-Aviv, Athens, Tbilisi, and more. We’re a global People function, well-respected by the people and teams that we support and partner with. We’re looking for our next HR Operations Specialist, based in Timișoara, Romania. You’ll provide reliable, responsive HR support across our Romanian entities, covering employee administration, payroll coordination, employee relations, and local compliance.
What you’ll be doing
You’ll manage assigned HR processes and cases, working closely with internal partners and external providers. You’ll also help maintain compliant, accurate records and improve the way we support our people.
Day-to-day in this role you’ll:
Respond to Romania-specific and escalated HR enquiries, guiding employees and managers on employment terms, policies, leave, benefits and payroll.
Coordinate onboarding and approved exits, prepare employment documents and maintain personnel records and updates across Workday, payroll and REGES-ONLINE.
Validate payroll inputs, investigate discrepancies and administer leave and benefits with payroll teams and providers.
Manage assigned employee relations cases, including grievances and disciplinary matters, and support performance processes in collaboration with People Partners and Legal.
Maintain accurate HR data and reports, coordinate service providers and help improve local HR processes and guidance.
Our humble expectations
You’ll bring practical HR experience and sound judgement to support employees and managers across Romania.
At least 3 years of experience in HR operations, personnel administration or an HR generalist role, including practical experience with Romanian employment processes.
Strong knowledge of Romanian employment legislation, payroll processes and statutory reporting requirements.
Confidence using HR systems and Excel, including working with data and preparing reports.
Strong organisation, attention to detail and the ability to prioritise, solve problems and handle confidential information with discretion.
Excellent Romanian and English communication skills, with the ability to work with employees, managers and other stakeholders.
What we offer
Our benefits in Romania include:
Meal vouchers for eligible working days.
A private medical subscription with Regina Maria.
Group life insurance to provide financial support to your beneficiaries.
A wellbeing benefit to support an active and healthy lifestyle.
Access to Bookster for books and learning resources.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
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Location: Paris
Workplace: Hybrid
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
Healthcare Sites Development Manager
People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values https://alan.com/about/company-culture that guide our approach to work, such as:
🎯 What drives us — We're obsessed with helping our members live healthier
- Mission is the Boss: long-term thinking, seeking our mission success above all else.
- Member & customer-led: obsessively focused on solving members & customers problems and creating the most delightful experiences.
🏆 How we build excellence — We hire the best people and give them platform to succeed
- Champions of excellence: extremely high standards and talent density.
- Distributed ownership: accountable enlightened despots, everyone owns their decisions and results.
- Radically transparent: all information is accessible and written-first, so everyone can make the best decisions asynchronously.
🤝 How we grow together — We help each other improve through honest feedback and bold thinking
- Optimistic alchemy: optimists who collaborate with genuine care and support teammates.
- Empathetic challengers: direct, caring feedback combined with praises to help each other grow professionally.
- Bold & creative contrarians: think differently to achieve greatness, try new approaches.
⚡ How we move fast — We fight complexity and focus on what matters most
- Disciplined in execution: taking decisive actions with focus that compounds success over time.
- Fight for simplicity: only high impact processes, smart frugality.
💡 The Missions
Prévenir is a new Occupational Health and Prevention Service (SPSTI) in Île-de-France, built to rethink occupational health with Alan's technology, for the benefit of employees and of healthcare professionals (HPs).
Its first medical centre opened at Valmy (Paris 10th) in April 2026, and 4 sites are already running.
Prévenir is about to scale fast: the ambition is to open several new small centres around Paris in 2027 (Seine-et-Marne, Val-d'Oise), first inside ready-to-operate sites, then in premises of its own (rented or bought), including a flagship centre in Paris. The exact plan is still being shaped, and you will help shape it.
We are looking for someone senior and visionary enough to carry the vision and strategy of Prévenir's sites from day one, while being happy (and excited) to be hands-on as much as needed, with a start-up mindset. Health, member experience and innovation are at the heart of the role.
You would join Alan as a full-time Alaner in the Workplace team: you work for Alan, not only for Prévenir. At first, most of your time goes to Prévenir: opening new sites, making them compliant and ready for patients with a real Prevenir's spirit, running the centres day to day with the center managers, and building the vendors, budgets and playbook that will let it grow from 4 to many more sites.
Prévenir is a separate entity from Alan: it signs its own leases and contracts, and you prepare, negotiate and advise on its behalf.
You will work alongside the Facility Manager in charge of Alan's offices at Valmy, and turn what you learn into playbooks, checklists and templates (openings, fit-out, vendors, compliance) that serve Prévenir's centres as much as Alan's own offices.
The position is based in Paris, with regular field visits across Île-de-France (Paris, Seine-et-Marne, Hauts-de-Seine, Val-d'Oise), and requires an onsite or field presence at least 4 days per week.
👀 More specificities on the profile we're looking for (level range targeted on our level grid: C1-D)
Detailed missions
Set the vision
- Define and carry the vision and strategy for Prévenir's sites from day one: site model, technical and experience standards, and a 2–3 year real-estate roadmap, alongship Prévenir's and Alan's leadership and kept up to date as the plan evolves
- Bring innovation: test new centre formats (shared, modular or temporary sites), and have a smart use of AI to make each opening faster, cheaper and better for HPs and patients
Open and build new sites
- Find and technically qualify new sites: define search criteria with the Occupational Health team, visit candidate sites, and give a clear go / no-go recommendation with an estimated cost
- Open small centres inside ready-to-operate sites: check that the host site works for medical use, agree the terms with the host operator (services, charges, service levels, who does what), do the light set-up and prepare the opening
- Prepare and negotiate leases with Legal and Finance, and be the single operational point of contact for landlords, architects and vendors
- When relevant, lead fit-out works end to end: brief and manage architects, project managers and contractors, plan backwards from the opening date, secure administrative and safety authorisations, manage acceptance and close snags
- Contribute to the rent vs buy thinking by providing technical due diligence on any potential acquisition (condition of the building, works to expect, regulatory constraints, running costs)
Make every centre medical-ready, unique, safe and healthy
- Make every site ready for patients: consultation rooms, patient flows, confidentiality (acoustics), hygiene and cleaning, medical waste, hand-washing points, IT / network and badge access set up with the IT team
- Own the safety and security of every centre, for patients, HPs and visitors: access control, intrusion alarms and video surveillance where relevant (in line with GDPR), fire safety, evacuation procedures and drills, first-aid kits and defibrillators where required, and clear procedures for incidents and for HPs working alone
- Put prevention at the heart of the run: identify the main risk areas of each centre (fire safety, HVAC and air quality, water, electrical, access control), build and run the preventive maintenance calendar, plan the mandatory periodic checks and keep each site's safety register up to date
Run the centres day to day
- Run the day-to-day for existing and new centres with the center managers (ASSTs): sort and diagnose requests, fix what can be fixed, send the rest to the right contractor, and follow each intervention until it is done and checked
- Own the logistical run of the centres in partnership with the center managers: supplies, snacks, mail, printing, small furniture and IT equipment, access and badges, cleaning. Agree a clear split of who does what and give them simple routines, checklists and documentation so they become autonomous
- Create and keep alive the Prévenir spirit in every centre, as the Workplace team does for Alan its own offices: a welcoming, consistent and on-brand place for HPs, ASSTs and patients, using their feedback to keep improving it
Manage vendors, budgets and playbooks
- Build a standard vendor panel (maintenance, fire safety, cleaning, medical waste, access control, furniture) with SLAs, penalties and exit terms. Run tenders and invoice checks, and reuse contracts across sites
- Own the budget with Finance and the Occupational Health team: capex (fit-out, equipment, furniture) and opex (rent, charges, maintenance) per site, monthly follow-up, and realistic figures to feed the medical centres business model
- Track, improve and document: run a simple dashboard (open requests, intervention times, openings progress, budget), keep the equipment inventory and maintenance log, automate repetitive follow-ups with AI and tools, and write the opening playbook and technical checklist reused for each new site
Be a full member of the Workplace team
- Take part in the team's rituals and priorities, work with Alan's Workplace scope and join the on-call rotation (daily Office Management tasks)
Key outcomes by 1 year
- A vision and a 2–3 year real-estate roadmap for Prévenir's sites are shared and approved by Prévenir's leadership and Alan within the first 3 months, and kept up to date
- Existing centres are under control: contracts, leases, mandatory checks, equipment, open requests and risks are mapped and documented, with no missed regulatory check or expired contract
- Preventive maintenance plans and safety registers are live on every centre, with at least 3 prevention areas identified, each with an action plan and KPIs
- One single channel logs and tracks requests from the centres, each with an owner and a deadline; resolution time is measured and decreasing; a dashboard tracks requests, openings and budget; at least 3 recurring tasks are automated
- The new centres planned for 2027 open on time, with safety, accessibility and authorisations validated before the first patient and a budget under control
- A replicable opening playbook, a building technical checklist, a standard vendor panel and standard contract templates are in place and reused across sites
- Every centre feels like Prévenir, is safe and secure (access control, alarms and emergency procedures in place and tested, drills done on time), and is healthy.
- At least one innovation (new centre format, building tech or AI use case) has been tested in a centre, with clear results on cost, speed or HP and patient experience
You may be a great fit if you are:
- A multi-site Facility / Technical Manager (6–10 years of experience) in a network of regulated, public-access sites: clinics, medical or radiology centres, labs, dental or health-centre networks, nurseries, fitness, retail networks
- A real-estate project manager in charge of network expansion and site openings, with a real sensitivity to the run
- A head of technical services of a clinic or private hospital who wants to move to a growth environment
- A works / fit-out project manager (chef de projet travaux, maîtrise d'ouvrage) with strong ERP experience and some maintenance and run exposure
- A site or contract manager at an FM service provider (healthcare accounts) who wants to move in-house, or a Workplace / Facility Manager in a scale-up who has led several office openings or moves
What we're looking for
- Solid technical understanding of buildings: HVAC, electrical, plumbing, fire safety systems, doors and access control, and the ability to challenge a technician or an architect
- Proven experience of opening or fitting out sites: works follow-up with architects, project managers and contractors, planning, acceptance, snags
- Knowledge of the French regulatory framework for public-access buildings (ERP classification, safety commission, works authorisation, accessibility, mandatory periodic checks, safety register)
- Good knowledge of site safety and security: access control, intrusion alarms, video surveillance (and related GDPR rules), evacuation and emergency procedures, incident management
- Lease and landlord management: you can read a lease, understand who pays and does what, and negotiate with landlords and agents
- Proven vendor and contract management (SLAs, penalties, price indexation, tenders, invoice control) and budget ownership (capex / opex per site, total cost of ownership)
- Project management of several sites in parallel, with strong prioritisation, including urgent incidents
- Ability to work with senior and varied stakeholders: HPs and doctors, directors, Legal, Finance, IT, landlords, architects
- Senior enough to set a vision and a strategy, and to carry and defend it with Prévenir's leadership and Alan, with a start-up mindset: frugal, fast, comfortable building from scratch with changing priorities, and happy to be hands-on
- Exceptional communication in French (fluent) and professional English
- A member-first mindset: you think about the HP, patient and Alaner experience, not the process
- Appetite for digital tools, AI and basic automation to reduce repetitive work, and the ability to document in a way the whole team and AI agents can leverage
- Mobility across Île-de-France (Paris, 77, 92, 95 and more)
- Visionary and hands-on, autonomous and proactive, at ease with ambiguity while the plan (number of sites, rent vs buy, timing) is still evolving, calm when things don't go as planned, and discreet and respectful of the medical environment
Nice to have
- Experience of medical, paramedical or health-related sites (centres de santé, clinics, labs), including ERP type U requirements
- A technical diploma or certification (BTS / DUT in building maintenance or energy, SSIAP) and electrical habilitation
- Experience of a technical due diligence on a building purchase, or of a sale-and-leaseback / long-lease structure
- Experience with indoor air quality or energy-efficiency projects
- Experience using a CMMS / GMAO tool, or building one with no-code tools
- Extensive experience leveraging AI to build scalable processes or automate recurring tasks
- Prior experience in a high-growth company or scale-up, ideally in a network-expansion context
🙌 PERKS & BENEFITS https://alan.com/about/life-at-alan/a/perks
At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
Therefore, we offer:
- All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and Bose noise-canceling headphones.
- Flexible vacation policy and flexible working hours. Organize your time as you wish.
- Transport. Country-specific commuter benefits.
- Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching.
- Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises.
- Fair rewards. Generous equity packages complement your base salary.
- Delightful healthcare insurance. Extremely comprehensive health insurance - 100% of the contribution covered by Alan for you and your family.
- Parental leave. Extended parental leave for all new parents.
IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist.
We'll be thrilled to receive your application!
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
Location: United States; Colombia; Sacramento; Los Angeles; San Francisco; Canada; Costa Rica; Mexico
Workplace: Remote
Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones)
Start Date: ASAP
Languages: English
Team: Engineering
ABOUT THE ROLE
Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand.
We are looking for a Research Engineer, Privacy and Anonymization to build the systems that make sensitive, real-world data safe and still useful for AI training. You will develop methods to detect and remove personally identifiable information, secrets and other sensitive content from raw data before it enters processing and synthetic data pipelines — protecting privacy without destroying the structure and signal that make the data valuable for training agents.
This is a privacy and data-protection engineering seat, not a synthetic-task design role. You will own the pipeline that stands in front of downstream processing, training, evaluation and synthetic generation.
This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring.
WHAT YOU'LL DO
- Build systems to detect PII, quasi-identifiers, credentials and other sensitive information, and design transformations based on the data type and the downstream use case.
- Develop and benchmark detection approaches that combine rules, statistical models, classifiers and LLM-based methods.
- Build production pipelines that anonymize raw data before it enters downstream processing, training, evaluation or synthetic data generation.
- Create evaluation frameworks that measure privacy risk and retained data utility, including recall-weighted metrics, leakage tests and adversarial re-identification attempts.
- Design systems that stay robust to new data sources, schema drift, unusual formats and sensitive information embedded in unexpected fields.
- Work with engineering, research, operations and customers to translate privacy requirements into practical technical policies and safeguards.
WHAT WE'RE LOOKING FOR
- Strong proficiency in Python, and experience building reliable production data or machine-learning systems.
- Experience with information extraction, named-entity recognition, classification, or related methods for detecting rare or sensitive content.
- Strong experimental instincts, and the ability to compare approaches across recall, precision, latency, cost and downstream data utility.
- An understanding of the difference between redaction, masking, pseudonymization, anonymization and synthetic data — and when each is appropriate.
- High attention to detail, and the ability to reason about subtle leakage paths, edge cases and adversarial failure modes.
- Experience building data-processing pipelines end to end, including where there was no fully prescribed roadmap.
- Clear written and spoken English, and comfort collaborating across teams and time zones.
- Strong candidates may also have hands-on experience with privacy-enhancing technologies (such as differential privacy, k-anonymity, secure aggregation or format-preserving encryption); have worked with sensitive data in healthcare, finance or security; have built low-latency or high-throughput ML inference or data-processing systems; or have taken work from early research through to production.
- Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above.
WHY THIS ROLE MATTERS FOR YOU
- Make real-world data safe to train on: You will build the systems that let sensitive data be used for AI training without exposing people or secrets.
- Privacy without wrecking utility: The job is not only to redact, but to keep the structure and signal that downstream training and synthetic pipelines need.
- From detection to production: You will own the full path: detection methods, transformations, evaluation, and the pipeline that sits in front of training and generation.
- Hard, high-stakes edge cases: Work on leakage paths, schema drift and adversarial failure modes, not only clean benchmark datasets.
- San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring.
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
Location: Paris, France
Workplace: Hybrid
We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger.
At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries.
The team:
To support our continued growth, we’re hiring an Engineering Manager to join the Wallet Experience business unit. You’ll work directly with the Engineering Director and lead high-performing teams that deliver core features across our top-rated native applications. This is a hands-on leadership role: you’ll shape the product experience millions of users rely on every day and help define how a modern engineering team builds with AI.
What you’ll be doing:
Management
- Lead your team and meet regularly with your direct reports to give frequent, actionable feedback.
- Drive recruitment, performance assessments, training and career development for your team.
- Help each person set clear goals and improve their practices, supporting their growth and our retention goals.
- Build AI fluency in your team: coach engineers to use AI tools well, share what works, and make AI-assisted development part of how they grow.
Tech
- Drive projects end to end, applying best-in-class engineering practices: clean architecture, strong test coverage, code review and observability.
- Lead the adoption of AI across the development lifecycle, from coding agents and AI-assisted reviews to test generation and automated workflows. Set clear guardrails for quality, security and privacy.
- Participate in sprint delivery, monitor engineering metrics, and be accountable for the quality of what ships.
- Bring forward innovative solutions and encourage innovative thinking from others, including new ways AI can remove toil and speed up delivery.
Delivery & Impact
- Work closely with Delivery Managers, Product Owners and Designers to assess feasibility, give technical recommendations, and help with estimation and planning.
- Focus the team on outcomes, not output: tie work to user and business impact, and measure it.
- Delegate effectively so work is completed as specified, without micromanaging.
- Set clear expectations and make sure practices are followed to meet Ledger’s quality bar.
Leadership & Communication
- Bring a positive “can do” attitude and be a role model for others.
- Communicate proactively and be a well-identified point of contact for other teams.
- Track progress, risks and issues, and communicate them to the right stakeholders.
- Champion a culture of continuous improvement, where the team regularly reviews and raises its own standards.
What we’re looking for:
- 3+ years of experience managing engineering teams.
- Strong experience in React.js development, tools and libraries.
- Good knowledge of browsers and web APIs.
- Knowledge of React Native is appreciated.
- Hands-on experience using AI tools in software development (e.g. coding assistants or agents), and a clear view of how to adopt them responsibly at team level.
- A track record of raising engineering standards and delivering measurable impact.
- Experience with CI/CD and building deployment pipelines is a plus.
- Knowledge of UI/UX practices in software development.
- A team-player mindset, excellent interpersonal skills and the ability to work cross-functionally.
- Enthusiasm for hiring and developing people.
- Willingness to build skills in the Web3 industry.
At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to:
- Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week
- Health & Wellness support - Health and Life Insurance.
- Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work.
- Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation.
- Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee.
For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information.
We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.
Location: San Juan, Puerto Rico; New York, NY; District of Columbia; Europe | Spain
Workplace: OnSite
About the Company
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Norwest, Galaxy Ventures, Dragonfly, Bessemer Venture Partners, FirstMark, Lightspeed, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
Our Ethos
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
About the role
Rain is building payments and stablecoin infrastructure. Every transaction generates data across our system.
We’re looking for an Analytics Engineer, Finance to own the data layer Finance runs on: model it, reconcile it against source systems, test it, automate it, and make it self-serve. You’ll partner with Finance and Accounting and the data team to make sure every number we report ties back to its source.
We’re looking for someone with high agency and urgency who owns problems end to end, digs into discrepancies until the numbers tie out, and communicates clearly when something is uncertain. We care less about where you trained and more about what you’ve built.
At Rain, we’re builders who use AI to automate repetitive work. That changes what data roles look like: where a data scientist used to only analyze and an analyst used to only build dashboards, here everyone models data, writes production-quality code, and automates their own workflows. You own the result, including checking what the AI produces. For this role, that means building trusted models and automating the reconciliations and reporting Finance depends on.
What you’ll do
- Build and own models for Finance: ledger, settlements, card transactions, invoicing, fees, and collateral, with clear grain and consistent definitions.
- Build and run reconciliations between internal systems and external sources (card networks, processors, banks, partners); investigate breaks and fix the root cause.
- Support month-end close and audit readiness with validated, documented outputs Finance can trust.
- Automate recurring Finance reporting and deliveries (scheduled reports, exports, and alerts) so close and partner reporting run without manual work.
- Add data quality tests and alerts so issues are caught before Finance sees them.
- Partner with Finance to define metrics such as revenue, costs, volume, and contribution profit, and make them reusable across teams.
- Build self-serve reporting so Finance can answer recurring questions independently.
- Work with data and platform engineers on ingestion and source changes, following Rain’s data standards and access policies.
What you’ll need
- At least 3 years of experience in analytics engineering, software engineering, or analytics with a strong data modeling focus.
- Proficiency using AI tools to learn new skills, navigate unfamiliar domains, and accelerate your work, while taking responsibility for checking the output.
- Strong SQL in a modern data warehouse such as BigQuery, Snowflake, or Redshift, including complex joins, window functions, and incremental logic.
- Hands-on dbt experience: data modeling, testing, documentation, version control, and code review.
- Experience reconciling data across systems and explaining differences down to the row.
- Familiarity with financial metrics and processes, such as revenue and costs, financial statements, reconciliation, or monthly close.
- Strong attention to detail: you validate results against source systems and explain assumptions, tradeoffs, and uncertainty.
- Ability to work independently and collaboratively in a fast-moving startup, communicating clearly with technical and nontechnical partners.
Nice to have
- Experience in payments, card issuing, fintech, or stablecoins, such as settlement files, ledgers, or interchange.
- Experience with BI as code, such as Lightdash, Looker, or Omni.
- Python or another scripting language for automation and data checks.
- Experience working directly with Finance or Accounting teams.
- Experience with orchestration and ingestion tools such as Dagster, Airflow, Meltano, Fivetran, or Datastream.
Things that enable a fulfilling, healthy and happy experience at Rain:
Flexible time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
Location: Worldwide
APPLICATION INSTRUCTIONS:
If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the
20four7VA Team Portal
for faster processing.
Log in using your 20four7VA-issued email address to access the portal.
If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below.
💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen!
If you're interested in this opportunity, click APPLY TO POSITION to proceed.
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Title:
CPT-11729
Social Media Community Engagement & Outreach Virtual Assistant
Independent Contractor – CPT-11729 Social Media Community Engagement & Outreach Virtual Assistant/Marketing VA/Entry-Junior Level (Remote).
Overview
20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia.
We are looking for a proactive and organized Social Media Community Engagement & Outreach VA to help increase the client’s visibility and build relationships within the local real estate community. The VA will focus primarily on engaging with relevant Facebook and Instagram posts, interacting with real estate professionals, and maintaining consistent, meaningful online activity.
Content creation, research, and analytics will be secondary responsibilities. The ideal candidate is personable, professional, detail-oriented, and able to track and report daily activities accurately.
The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor.
Scope of Services
Contractors will be required to provide services that align with the following client tasks:
1. Community Engagement and Interaction
Monitor relevant local real estate posts, discussions, and community updates on Facebook and Instagram.
Write meaningful, personalized, and professional comments that encourage conversations and build relationships.
Engage with real estate agents, brokers, industry partners, and relevant community members to increase the client’s visibility.
Prioritize genuine interactions and consistent daily engagement over content creation.
Engage with local real estate professionals’ personal and business posts, including property listings, open houses, successful closings, birthdays, and other personal milestones.
Write warm, conversational, and personalized comments that reflect the client’s personality and help the audience see the business as approachable and genuinely involved in the community.
Participate in relevant community group discussions about mortgage financing, rental properties, church financing, and other real estate-related funding opportunities.
Ensure comments are contextually appropriate and directly relevant to the post. Avoid generic, repetitive, or mismatched responses that could make the client appear inattentive or unprofessional.
Prioritize authentic community presence and relationship-building rather than aggressive lead generation or sales-focused interactions.
2. Local Network Visibility and Relationship Building
Identify and engage with relevant local real estate pages, groups, agents, and potential partners.
Maintain an updated list of relevant sources for daily engagement and outreach.
Respond to relevant comments and continue conversations when appropriate.
Support the client’s visibility and relationship-building efforts within the local real estate community.
Engage with real estate agents and trusted industry contacts already followed by the client, as well as relevant community groups where potential clients and industry members discuss real estate and financing concerns.
Support visibility across the client's two business pages, which serve different markets: residential mortgage financing for primary homes and business-purpose financing for rental properties and other commercial properties.
Identify relevant opportunities to interact with people discussing financing needs and invite them to contact the client privately for more information or a customized quote.
Maintain a consistent, personable presence that reinforces the client's identity as a real person and an approachable mortgage professional within the local real estate community.
3. Social Media Monitoring and Content Execution
Monitor the client’s Facebook and Instagram pages for comments, messages, and engagement opportunities as assigned.
Create social media captions and simple graphics based on client-provided ideas, materials, and approved messaging when requested.
Publish or schedule approved content according to instructions, deadlines, and posting schedules, prioritizing time-sensitive posts.
Review content before publishing to ensure accuracy, relevance, professionalism, and compliance with client guidelines.
Review the client's existing scheduled posts and published content, and add appropriate tags to relevant real estate contacts or business partners when applicable.
Engage with comments and interactions on the client's own Facebook and Instagram posts, in addition to engaging with external community and industry posts.
When responding to financing-related questions, use information, approved talking points, and scenario-specific guidance provided by the client to ensure comments accurately represent the client's services and available financing resources.
Avoid providing specific interest rates, monthly payments, loan terms, or eligibility assurances without reviewing the individual's circumstances and receiving the appropriate information from the client.
When a financing inquiry requires a more detailed assessment, encourage the individual to send a private message or contact the client directly for a customized discussion or quote.
Focus on community engagement rather than taking over content creation, as the client currently has a separate resource handling the content calendar and post creation.
4. Activity Tracking, Reporting, and Accountability
Maintain a daily log of meaningful comments, interactions, follow-ups, and outreach activities, including direct links as evidence.
Record working hours accurately and categorize time according to tasks performed.
Submit concise daily updates summarizing engagement activities, sources contacted, time spent, and outstanding concerns.
Communicate questions, blockers, and changes in priorities proactively.
Ensure reported work aligns with documented activities and outputs.
Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing.
Skills
The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements:
Experience in social media management, community engagement, or online outreach.
Strong written English and the ability to write natural, professional, and personalized comments.
Familiarity with Facebook and Instagram, preferably for business or real estate purposes.
Good research and organizational skills, with the ability to identify relevant local real estate contacts and communities.
Strong attention to detail and consistent follow-through.
Ability to work independently, follow instructions, and maintain accurate activity records.
Understanding of professional online communication and appropriate engagement practices.
APPLICATIONS AND TOOLS REQUIRED
Facebook:
For community engagement, monitoring, and relationship building.
Instagram:
For engaging with relevant local real estate accounts and monitoring interactions.
Social Media Scheduling Tools:
Familiarity with scheduling and publishing tools, if required by the client.
Tracking and Reporting Tools:
Ability to maintain activity logs, record working hours, and provide daily updates using spreadsheets or other client-designated tools.
Work Schedule
Contracted Hours per Week: 10 Hours
Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing)
Daily Working Time: Flexible-EST
Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW.
Terms of Engagement
Contractors will operate under a Master Services Agreement and a Statement of Work
This is not an offer of employment; contractors are not employees of 20four7VA or any client
All compensation is processed through 20four7VA according to the terms of the engagement
Role Summary & Requirements
REQUIRED SERVICE: Marketing VA
REQUESTED EXPERIENCE TIER LEVEL: Entry, Junior Level
Contracted Hours per Week: 10 hours/week
Daily Working Time: Flexible-EST
Scheduled Working Days: Monday-Friday
REPORTING TO/POC: To Be Determined
Number of VAs: 1
GENDER PREFERENCE: None
LANGUAGES SPOKEN/PREFERENCE: English
ACCENT PREFERENCE: Level A–C (Good English comprehension, communication, speaking, and writing skills)
REGION PREFERENCES: Any
What we offer
Competitive rates
Weekly payments
Various open roles are available
Free training and upskilling
Constant support and guidance
A vibrant community always ready to support you
And more!
Location: Porto
Workplace: Hybrid
Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases.
Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with:
- $10 billion+ generated by creators since Patreon's inception
- 100 million+ free memberships for fans who may not be ready to pay just yet, and
- 25 million+ paid memberships on Patreon today.
We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for a Porto Site Lead to support our mission.
This role is based in Porto, Portugal and operates on a hybrid work model (in-office 3 days per week).
ABOUT THE TEAM
Trust & Safety keeps Patreon welcoming and fair, so creators and their fans can connect and creativity can thrive. We set clear standards and act quickly and consistently when something's off.
Porto is our main Trust & Safety hub in Europe, where a significant share of our safety work gets done. It's a close-knit, multidisciplinary team of content specialists, project and program managers, vendor managers and policy experts, sharing the office with colleagues in Support, Fraud and Compliance. As Patreon grows into a place where fans discover new creators and communities, the work done in Porto matters more than ever.
ABOUT THE ROLE
We're looking for an experienced operations leader to run Trust & Safety in European hours and lead our Porto site.
As T&S Operations Lead, you'll own how well Porto runs: healthy queues, targets met, smooth handoffs to our US team, and a team that knows what's expected and how they're doing. Operational excellence, team enablement, and capacity planning are at the heart of the job.
You'll be the senior operations leader on site from day one, with a direct report focused on operations enablement and a scope built to grow as Porto does, including leading more of the site's team over time. You'll work hand in hand with our global Trust & Safety leaders on policy, quality, tooling, and partner management, and bring Porto's perspective into the decisions that shape how we keep Patreon safe.
As Porto’s Site Lead, you’ll represent the whole office, not just T&S. You'll serve as Porto’s site representative: chairing the Porto Leadership Council, partnering with Workplace/HR, and bringing the needs of Compliance, Fraud, Support Experience, and T&S into site-wide decisions.
WHAT YOU'LL DO
- Run European-hours operations to target. Co-own queue health, review rates and service levels with the leaders of each safety area while Porto is online. Spot drift early, fix what you can, and escalate the rest with a clear owner and timeline.
- Plan capacity. Work with the leaders of each safety area and our program managers to build monthly capacity plans across our in-house team, outsourcing partners and automation, and rebalance work when volume shifts.
- Deliver on our targets, and find out why we miss. The leaders of each safety area set targets for their work and agree them with you. You'll be the single place those goals come together for Porto: deliver them on the ground, track progress, coach the team, and dig into root causes when we miss on efficiency or quality, then bring back what you learn.
- Raise the bar on how we operate. Co-own the playbooks, training and workflow changes our safety-area leaders and program managers design, lead their rollout in Porto, and measure the impact on quality, handle time and backlog.
- Keep work moving between Europe and the US. Make sure escalations, incidents and open work hand off cleanly across time zones, so nothing stalls or drops.
- Lead incidents in European hours. Contain issues using our playbooks, make the call when a decision can't wait, and hand off with full context.
- Look after the team. Make sure people doing high-exposure work have the rotation, breaks and support they need, notice early signs of strain, and involve people before changes that affect them.
- Lead the site. Chair the Porto Leadership Council, bringing together every team in the Porto office, from Support to Fraud and Compliance. Be Porto's voice with US leadership, and build a culture where people feel connected and recognized.
- Grow Porto's team and leaders. Develop your direct report and the site's emerging leaders, and help Porto keep a strong mix of specialist, project, program, and policy talent.
WHAT YOU'LL OWN
- Your call, for Trust & Safety in Porto: running our operations day-to-day in European hours. That includes keeping work flowing when volume spikes, covering absences, containing incidents using our playbooks, and setting the team's operating rhythm. Other teams in the office keep their own leadership.
- Your call, for the Porto site: the Porto Leadership Council’s agenda and how Porto shows up with Execs and US leadership. Other non-T&S teams keep their own leadership. You align and represent them, you don’t manage them.
- Agreed with the leaders of our safety areas: the targets they set for their work, monthly capacity plans, shifting work between areas, and workflow changes that affect enforcement decisions.
- Owned by partners, with your input: policy and enforcement standards, quality standards, HR matters and vendor contracts. You'll have a strong voice in all of them.
ABOUT YOU
- 8+ years leading content moderation, Trust & Safety or customer support operations. Whether in-house or at an outsourcing partner, you've run the people, targets, and quality of a content or customer-facing team. Workforce management and quality leadership in those settings count too.
- You have a track record of moving the numbers. You've owned throughput, quality, and service-level goals for an operations team, built capacity plans, and delivered measurable improvements you personally drove.
- You've scaled operations with outsourcing partners or automation.
- You lead with clarity and fairness. You set expectations, give direct feedback with care, and stay calm when things get hard.
- You work well across teams. You've led alongside teams you don't manage, and you know when to decide and when to align.
- You're fluent in English. Portuguese is a strong plus.
- You're based in Porto, or ready to relocate. We'll support your move.
NICE TO HAVE
- Trust & safety experience, especially with EU/UK online-safety rules.
- Experience leading a site or office in Portugal or elsewhere in Europe.
- Experience with AI-assisted moderation or quality programs.
WHAT SUCCESS LOOKS LIKE IN YOUR FIRST YEAR
- Review rates and handoffs in European hours are consistently on target.
- T&S has a clear, reviewed capacity plan, updated monthly.
- Quality findings turn into action within 90 days.
- The Porto Leadership Council meets on a regular cadence with agreed site priorities.
- The Porto team feels more connected and more confident in where they're headed.
WHY JOIN
- Lead a site. Shape how our main Trust & Safety hub in Europe runs, with real decision rights from day one.
- Room to grow. A clear path to leading more of Porto's team as the site grows.
- Meaningful work. Help keep a community of millions of creators and fans safe.
- Life in Porto. One of Europe's most livable cities, on the Atlantic coast.
HOW TO APPLY
Along with your CV, answer one short question (a few sentences is plenty): tell us about an operation you led. How many people, what volume, and one metric you improved? If one of our recruiters reached out to you, we'll cover this in your first call instead.
We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you.
ABOUT PATREON
Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts:
- Put Creators First | They’re the reason we’re here. When creators win, we win.
- Build with Craft | We sign our name to every deliverable, just like the creators we serve.
- Make it Happen | We don’t quit. We learn and deliver.
- Win Together | We grow as individuals. We win as a team.
Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accommodations@patreon.
Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, vacation leave, company holidays and recharge days, lifestyle stipends, learning and development stipends, patronage, parental leave and sick leave, and pension with an employer contribution.
Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office three days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements.
At Patreon, we believe in fair and transparent pay. In compliance with Portugal and EU pay transparency laws, we are sharing the expected salary range for this role.
The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role’s job family. The final offer will be based on candidate’s experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon’s leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions.
Patreon reserves the right to modify or update compensation and benefits at any time.
Compensation: €4,116 – €6,183 per month (gross base salary), paid on a 14-month basis (total annual cash compensation: €57,633 – €86,562). Final placement within the cash range is determined by skills, experience, and alignment with Patreon's internal pay bands. This role is also eligible for equity compensation.
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.
About the team
Machine Learning is central to how Affirm delivers on its mission, powering decisions across underwriting, fraud, servicing, and personalization. We are seeking a Senior Software Engineer to join our ML Training & Serving engineering team, the team that builds and operates the critical infrastructure that enables models to be trained and served across Affirm.
This role sits at the intersection of distributed systems, ML infrastructure, and platform engineering. We value engineers who listen closely, invite feedback, and work effectively across organizational boundaries, while maintaining a high bar for ownership, technical judgment, and execution. Strong candidates care about building reliable shared platforms, improving developer velocity, and creating durable systems that enable teams across the company to move faster with confidence.
What You'll Do
· You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.
· You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
· You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.
· You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
· You will foster a culture of quality and ownership on your team by setting or improving 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 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
· You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes.
· You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
· You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
· Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
Experience training and deploying models for production is a nice to have.
Base Pay Grade - N
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).
CAN
base pay range per year: $153,000 - $213,000
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.
About the team
Machine Learning is central to how Affirm delivers on its mission, powering decisions across underwriting, fraud, servicing, and personalization. We are seeking a Senior Software Engineer to join our ML Training & Serving engineering team, the team that builds and operates the critical infrastructure that enables models to be trained and served across Affirm.
This role sits at the intersection of distributed systems, ML infrastructure, and platform engineering. We value engineers who listen closely, invite feedback, and work effectively across organizational boundaries, while maintaining a high bar for ownership, technical judgment, and execution. Strong candidates care about building reliable shared platforms, improving developer velocity, and creating durable systems that enable teams across the company to move faster with confidence.
What You'll Do
· You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.
· You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
· You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.
· You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
· You will foster a culture of quality and ownership on your team by setting or improving 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 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
· You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes.
· You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
· You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
· Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
· 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.
·
Experience training and deploying models for production is a nice to have.
Base Pay Grade - N
Equity Grade - 9
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) per year: $195,000 - $225,000
USA base pay range (all other U.S. states) per year: $173,000 - $233,000
#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.
seniorПротиворечивые условия: Please note that we are unable to consider applications from candidates based in France, Italy, or Germany for this role; Compensation for candidates based outside the US (including Canada, EMEA, and LATAM) will be determined based on location, experience, and skills during the interview process, and may differ from the listed US range
УдалённоSingapore; Philippines; Albania; Ukraine; Indonesia; Australia; Serbia; Thailand; Khazakstan; Armenia; Türkiye; Romania; Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones); Clear written and spoken English, and comfort collaborating remotely across time zones
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоUnited States; Colombia; Sacramento; Los Angeles; San Francisco; Canada; Costa Rica; Mexico; Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones); Clear written and spoken English, and comfort collaborating remotely across time zones
seniorUnited States - Remote
УдалённоSingapore; Philippines; Albania; Ukraine; Indonesia; Australia; Serbia; Thailand; Khazakstan; Armenia; Türkiye; Romania; Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones); Clear written and spoken English, and comfort collaborating across teams and time zones
ГибридSan Juan, Puerto Rico; New York, NY; District of Columbia; Europe | Spain
United States - Remote
ОфисSan Juan, Puerto Rico; New York, NY; District of Columbia; Europe | Spain
Timisoara, Romania
ГибридParis
УдалённоUnited States; Colombia; Sacramento; Los Angeles; San Francisco; Canada; Costa Rica; Mexico; Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones); Clear written and spoken English, and comfort collaborating across teams and time zones
ГибридParis, France
ОфисSan Juan, Puerto Rico; New York, NY; District of Columbia; Europe | Spain
УдалённоHowever, availability may vary based on time zones, capacity, and the contracted hours set in this SOW
ГибридleadPorto; Make sure escalations, incidents and open work hand off cleanly across time zones, so nothing stalls or drops; For remote employees located outside CA and NY, salary may vary based on location and local market conditions
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