Location: Paris
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
We are seeking experienced and highly motivated Technical Program Managers (TPMs) to join our Cloud Infrastructure organization and drive the delivery of complex, high-impact infrastructure programs.
As Mistral continues to scale its AI compute infrastructure, bringing new capacity online quickly and reliably is critical to our success. This involves not only deploying physical infrastructure but also coordinating the engineering efforts required to make that infrastructure fully operational.
In this role, you will work at the intersection of cloud engineering, software infrastructure, and data center deployments, ensuring seamless execution across multiple technical teams.
You will coordinate programs involving networking, storage, Kubernetes, fleet management, and infrastructure operations, working closely with engineering teams to manage dependencies, anticipate risks, and accelerate the deployment of production-ready compute capacity.
The TPM role spans several critical areas of program management:
Cloud Infrastructure Deployment – Coordinate the software deployment and bring-up of new compute infrastructure, ensuring smooth transitions from physical data center deployment to fully operational cloud environments.
Technical Program Management – Plan, execute, and oversee complex infrastructure programs involving multiple engineering teams, managing dependencies, timelines, and technical risks to ensure successful delivery.
Cross-Functional Engineering Coordination – Work closely with Cloud Engineering, Data Center Infrastructure, Networking, Storage, Kubernetes, and Fleet teams to align priorities, resolve blockers, and drive execution.
Engineering Operations & Process Improvement – Identify opportunities to streamline infrastructure deployment processes, improve coordination, and introduce scalable, lightweight workflows that accelerate delivery.
LOCATION & OFFICE POLICY
The position is based in our Paris HQ offices and we encourage going to the office as much as we can (at least 3 days per week) to create bonds and smooth communication. Our remote policy aims to provide flexibility, improve work-life balance and increase productivity. Each manager can decide the amount of days worked remotely based on autonomy and a specific context (e.g. more flexibility can occur during summer). In any case, employees are expected to maintain regular communication with their teams and be available during core working hours.
WHAT YOU WILL DO
Program Management — Lead and coordinate complex cloud infrastructure programs, from physical infrastructure handover through software deployment and production readiness.
Infrastructure Deployment — Oversee the software bring-up of newly deployed compute infrastructure, coordinating engineering teams responsible for networking, storage, Kubernetes, fleet delivery, and infrastructure health.
Cross-Functional Collaboration — Work closely with Cloud Engineering, Data Center Infrastructure, and other technical teams to ensure alignment across deployment activities, technical dependencies, and operational priorities.
Project Delivery — Define and track project milestones, timelines, and resources. Anticipate blockers, coordinate technical dependencies, and ensure infrastructure is brought into production efficiently and reliably.
Process Improvement — Continuously identify opportunities to improve deployment workflows, reduce time to production, and establish scalable processes that support our growing infrastructure needs.
Stakeholder Management — Maintain clear communication with engineering teams, technical leads, and leadership, providing visibility into program progress, risks, and key decisions.
Risk Management — Proactively identify technical and operational risks, develop mitigation strategies, and drive the resolution of critical issues that could delay infrastructure availability.
WHAT WE'RE LOOKING FOR
- You hold a degree in a relevant scientific or technical field (e.g., Computer Science, Engineering, or a related discipline).
- You have at least 4 years of relevant experience managing technical programs, preferably in cloud infrastructure, software infrastructure, data centers, GPU computing, hosting, or related environments.
- You have proven experience coordinating complex technical projects involving multiple engineering teams and interdependent workstreams.
- You have a strong understanding of infrastructure deployment processes and the technical challenges involved in bringing systems into production.
- You have excellent project management skills, with the ability to manage multiple complex programs and drive execution in fast-paced environments.
- You thrive in cross-functional collaboration and can effectively communicate with engineers, technical leads, and senior stakeholders.
- You are highly organized and know how to manage cross-team dependencies, anticipate blockers, and keep projects moving forward.
- You are a proactive problem-solver with a continuous improvement mindset, comfortable navigating ambiguity and taking ownership.
Ideally, you have:
- Experience managing cloud infrastructure or large-scale data center deployment programs.
- A background in cloud engineering, software infrastructure, platform engineering, or a related technical field.
- Familiarity with Kubernetes, networking, storage systems, distributed systems, or infrastructure automation.
- Experience working on GPU infrastructure, HPC environments, or large-scale compute deployments.
- Experience coordinating projects involving both physical infrastructure and software engineering teams.
- Previous experience as a Software Engineer, Infrastructure Engineer, SRE, or Technical Program Manager.
- Already worked in an AI company or on large-scale AI infrastructure projects.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Paris; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
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: 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
Recruitment Scam Awareness - DoorDash
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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: 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: Paris
Workplace: Hybrid
WHY THIS ROLE EXISTS
At Pennylane, Growth Operations is crucial in transforming prospect data and marketing processes into an automated, reliable, and scalable growth engine.
We are hiring a Growth Operations to join our Growth team and work at the intersection of business, data, automation, and AI. Your mission: enhance how we identify, enrich, and activate prospects while building tools that boost Marketing and Sales efficiency.
You will also contribute to AI adoption by identifying use cases, creating agents and workflows, testing new tools, and empowering teams to use them effectively.
🌍 WHAT IS PENNYLANE?
Pennylane is one of France's leading fintech unicorns, creating the financial and accounting operating system for European SMEs and accounting firms.
Founded in 2020, we empower business owners to make better decisions and enable accountants to focus on client advisory.
A few figures to illustrate our scale and ambition:
- 💻 1.3 million+ SMEs already work with Pennylane.
- 🤝 7,000+ accounting firms use our platform.
- 👨👩👧👦 1,100+ Pennylaners representing over 25 nationalities.
- 💰 €400 million+ raised since launch.
- 🌍 Remote-friendly, international culture as we expand across Europe.
WHAT YOU’LL DO
As part of our Growth team, you'll closely collaborate with Marketing, Sales, Product Marketing, Operations, and Product.
BUILD SCALABLE AUTOMATION WORKFLOWS
- Design and maintain complex workflows using n8n
- Automate prospect scraping, enrichment, scoring, and activation
- Identify CRM bottlenecks and replace manual processes with scalable solutions
- Connect our data warehouse with Salesforce to generate opportunities and provide actionable insights to Sales
TURN DATA INTO GROWTH
- Improve prospect database quality and usability
- Build tools to help Marketing and Sales generate and activate qualified leads
- Support acquisition initiatives: outbound, events, partnerships
- Monitor project impact on lead generation, conversion, and efficiency
DRIVE AI ADOPTION
- Identify valuable AI use cases for Growth, Marketing, and Sales
- Create agents, skills, and reusable workflows
- Experiment with tools like Dust, Cursor, and Claude Code
- Support adoption via training, documentation, and pilot programs
CONNECT AND OPTIMISE OUR STACK
- Integrate tools such as Salesforce, Modjo, Dust, and Livestorm
- Translate business needs into technical solutions
- Own projects from scoping to deployment and iteration
- Ensure compliance with GDPR, CNIL, security, and data governance
WHAT YOU BRING
- Hands-on experience in Growth Ops, Marketing Ops, Revenue Ops, or automation, ideally in B2B SaaS or a scale-up
- Strong proficiency with n8n and complex, multi-tool workflows
- Ability to translate business challenges into tech solutions
- Familiarity with CRM systems, prospect data, scraping, enrichment, and scoring
- Proven record of impactful automation projects
- Practical experience using AI tools and supporting adoption
- Strong communication and project management skills
- Autonomy, curiosity, and an ownership mindset
- Professional working proficiency in English
- Bonus: Experience with SEO, SEA, or the broader acquisition funnel
🛠️ TOOLS AND ENVIRONMENT
You’ll use tools like n8n, Salesforce, Modjo, Dust, and Livestorm and experiment with solutions such as Cursor, Claude Code, and MCPs.
WHAT YOU CAN EXPECT
- A role combining Growth, automation, data, and AI
- End-to-end ownership with measurable business impact
- Opportunity to build systems from scratch
- Key role in shaping automation and AI practices
- Close collaboration with cross-functional teams
- A demanding, supportive, execution- and learning-focused environment
📍 LOCATION AND WORKING MODEL
Permanent position based in Paris on a hybrid basis
🔎 OUR RECRUITMENT PROCESS
- Talent Acquisition interview (30 min, remote)
- Hiring Manager interview (1 hour, remote)
- Case study & debrief (1 hour, remote)
- Final interview with a Marketing leader (45 min, remote)
- Team-fit interview (1 hour, in person)
🌈 OUR COMMITMENT TO DIVERSITY AND INCLUSION
Pennylane is committed to an inclusive, supportive work environment with equal opportunities for all candidates, regardless of background, gender, religion, sexual orientation, disability, or any other personal characteristic.
If this role excites you and you believe you could add value, we encourage you to apply—even if you do not meet every requirement.
⚠️ IMPORTANT INFORMATION FOR CANDIDATES
Please apply only through Pennylane’s official channels. Our communications come from addresses ending in @pennylane.com or @pennylane-partners.com.
We will never request payment or financial information at any stage of the recruitment process.
🇫🇷 Données personnelles
Pennylane traite vos données pour gérer votre candidature et évaluer votre adéquation au poste. Si votre candidature n’aboutit pas, vos données peuvent être conservées 2 ans à compter de notre dernier échange ou de la clôture du recrutement afin de constituer & gérer un vivier de candidats. Vous pouvez vous opposer à tout moment et demander la suppression de vos données en écrivant à : dpo@pennylane.com. dpo@pennylane.com
Notre data policy https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement
🇬🇧 Personal Data
Pennylane processes your data to manage your application and assess your suitability for the position. If your application is unsuccessful, your data may be retained for 2 years from our last exchange or the closing of the recruitment process, in order to build and manage a candidate pool. You may object at any time and request the deletion of your data by writing to dpo@pennylane.com. Learn more https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement
🇩🇪 Personenbezogene Daten
Pennylane verarbeitet Ihre Daten, um Ihre Bewerbung zu bearbeiten und Ihre Eignung für die Stelle zu beurteilen. Sollte Ihre Bewerbung nicht erfolgreich sein, können Ihre Daten bis zu 2 Jahre ab unserem letzten Austausch oder dem Abschluss des Rekrutierungsverfahrens gespeichert werden, um einen Kandidatenpool aufzubauen und zu verwalten. Sie können jederzeit Widerspruch einlegen und die Löschung Ihrer Daten beantragen, indem Sie an dpo@pennylane.com schreiben. Mehr erfahren https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement
🇪🇸 Datos personales
Pennylane trata sus datos para gestionar su candidatura y evaluar su idoneidad para el puesto. En caso de que su candidatura no sea seleccionada, sus datos podrán conservarse hasta 2 años a partir de nuestro último contacto o de la finalización del proceso de selección, con el fin de constituir y gestionar una reserva de candidatos. Puede oponerse en cualquier momento y solicitar la eliminación de sus datos escribiendo a dpo@pennylane.com. Más información https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement
About the Role As Engineering Manager for the Subledger team, you will own the system of record for every financial transaction at Hopper, driving accurate reporting and reconciliation across all money movements in our ecosystem. • От 8 лет в разработке ПО, включая от 2 лет управления инженерами;
УдалённоseniorПроживание в Eastern или Central time zone и ежедневное пересечение с финансовой и инженерной командами; What would your day-to-day look like Own and manage the subledger platform with an outcomes-based mindset, serving as the primary point of contact for technical, accounting, and operational topics related to transaction recording and reconciliation Lead, grow, and mentor a team of engineers, setting technical direction and championing correctness in a system where every entry must balance Drive the architecture of the subledger, evolving the current design toward simplicity and scalability through sound abstractions and automation Ensure all money movements across booking and post-booking flows are accurately accounted for, with full traceability from source event to financial report Build strong, senior-level relationships with Finance and Accounting, translating accounting requirements into system design and surfacing technical constraints early Partner with the Payments, Bookings, Post-Booking, and Data teams that integrate with the subledger, aligning on contracts, data models, and migration paths Identify and act on opportunities to reduce manual reconciliation effort, close reporting gaps, and eliminate classes of discrepancies at the source Track KPIs such as reconciliation accuracy, unmatched transaction rates, close-cycle timelines, and system reliability, and lead recurring reviews with Finance and engineering leadership An ideal candidate has 8+ years of software engineering experience, including 2+ years managing engineers, with fintech, payments, or financial systems experience a plus Experience designing and operating high-volume transactional systems where correctness, idempotency, and auditability are critical Working knowledge of accounting fundamentals, including double-entry bookkeeping, ledgers and subledgers, reconciliation, and the financial close process, and the ability to apply them to system design A systems-minded approach to architecture, favoring clear invariants, clean abstractions, and automation over one-off fixes, plus experience leading large refactors or migrations of production financial systems Clear communication with both accountants and engineers, including the ability to explain technical trade-offs to non-technical stakeholders Strong organization and self-direction in a high-growth environment Based in the Eastern or Central time zone, with daily overlap across the Finance, Accounting, and engineering teams you partner with Perks and benefits of working with us Well-funded and proven startup with large ambitions, competitive salary and upsides of pre-IPO equity packages Hopper covers 100% of the premiums for group insurance plan Hopper offers life, short term and long term disability coverage HSA that covers eligible medical and dental expenses All employees and dependents have access to Dialogue's telemedicine services, anytime, anywhere All employees have access to an RRSP plan with automatic pre-tax withdrawals per pay Please ask us about our very generous parental leave, much above industry standards!
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.
Location: Paris, France; Bordeaux, France
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.
⭐️ THE BUSINESS DEVELOPMENT REPRESENTATIVE - GRADUATE PROGRAM ⭐️
We’re excited to open a new opportunity to join Alan's Business Development Representative (BDR) - Graduate Program, offering a remarkable start to a Sales career!
The concept? Over a period of 18-24 months, you’ll have the opportunity to gain essential Sales skills, that will prepare you for more senior positions within the Sales community.
You will work as a Business Development Representative (BDR), where you will learn the fundamentals of Sales:
- Develop an effective prospecting strategy;
- Understand the specifics of a market;
- Spark the interest of a prospect via various channels (email, social networks and cold calls);
- Book qualitative discovery meetings with C-Levels.
After 12 months in a market such as Tech, Manufacturing, Retail, or Hospitality, you will change segments to discover new prospecting methods and collaborate with another team.
In your second year, you will continue as a BDR. You will have the opportunity to apply for the BDR Enterprise position, targeting large accounts (companies with more than 300 employees) or take on the added challenge of conducting discovery meetings and product demonstrations for small businesses.
These experiences will prepare you for an internal mobility as an Account Executive, for example (watch Victoire https://youtu.be/3FN7IPfC_Yo?feature=shared).
If you want to know more about the Business Development Representative (BDR) - Graduate Program, listen to Matthieu https://youtu.be/6tOXX8q6leY?feature=shared a team member, check this blogpost https://alan.com/fr-fr/blog/tout-alan/a/propulsez-votre-debut-de-carriere-rejoignez-alan as well as this one https://blog.alan.eu/nos-commerciaux-ne-vendent-pas about our unique approach to Sales.
⭐️ IS IT WHAT YOU ARE LOOKING FOR? ⭐️
At Alan, our motto is "we hire people, not roles": we value interpersonal skills over technical ones. We believe your potential is what truly counts.
You will be a good fit to join the Sales team at Alan if:
- You hold a Master's degree from a business school, with up to two years of professional experience;
- You are enthusiastic, driven by our mission, and eager to share our ambition;
- You are a team player, organized, and able to manage multiple tasks simultaneously;
- You are eager to learn and grow in new roles;
- You are based in (or willing to relocate to) either Paris or Bordeaux
Ready to join our Business Development Representative - Graduate Program?
For this opportunity, we are aiming to hire within the A2-B1 level range https://alan.com/en/careers/a/salary-equity.
🙌 PERKS & BENEFITS https://alan.com/en/careers/a/salary-equity
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:
- Fair rewards. Generous equity packages complement your base salary.
- Flexible Office. Amazing office space at our HQ in Paris or sponsored co-working hub in Bordeaux.
- All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and noise-canceling headphones.
- Flexible vacation policy and flexible working hours. Organize your time as you wish.
- Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only).
- Transport. Country-specific commuter benefits.
- Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises.
- 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.
- 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: Harrison, AR
Primary Care Nurse Practitioner/Physician’s Assistant
Location:
Harrison, AR
Schedule:
Full-Time
Total Annual Compensation:
$150k - $200k
About Infinite Medical P.C.
Infinite Medical P.C. is a nationwide network of advanced practice providers and specialty clinicians committed to delivering high-quality, proactive care directly to residents in skilled nursing and long-term care facilities. Our partnership with MedElite Healthcare Management Group empowers us to focus on what matters most: providing compassionate, personalized care that meets the unique needs of each resident. Together, we champion continuous innovation and collaboration in our shared mission to redefine senior care across the country.
Job Summary
The Company is currently hiring a
Primary Care Nurse Practitioner/Physician’s Assistant (NP/PA)
to provide on-site care to residents in long-term care settings. This is a
part-time
position ideal for a provider who values meaningful patient relationships and a collaborative care environment.
Responsibilities
Provide primary care services to residents in skilled nursing and long-term care facilities
Perform physical exams and medical history assessments
Diagnose and treat chronic and acute health conditions
Order and interpret diagnostic tests and lab results
Develop and adjust individualized care plans
Prescribe medications and monitor treatment effectiveness
Collaborate with facility staff and interdisciplinary teams
Educate patients and families about treatment options and care goals
Ensure a safe, respectful, and supportive environment for residents
Requirements
Active and unrestricted
Nurse Practitioner, Physician Assistant, or Physician license
State-specific license in good standing in Minnesota
Minimum
6 months of experience in long-term care or a skilled nursing facility
Strong communication, clinical, and critical thinking skills
Passion for elder care and person-centered healthcare
Benefits
Competitive salary per annum
:
$60,000 - $90,000 per year
Paid Time Off
Sign-on Bonus
Malpractice Insurance coverage
Why Work With Us?
Make a meaningful impact on the lives of seniors
Work in a collaborative, mission-driven environment
Enjoy work-life balance
Equal Opportunity Employer
Infinite Medical P.C is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We pledge ourselves to crafting and maintaining an environment that respects diverse traditions, heritages, and experiences. Infinite Medical P.C is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position.
Ready to Make a Difference?
Apply today and help us deliver compassionate, personalized care where it matters most.
#INDL
Business Analyst working on our Credit and Payments products. - 3+ years as a Business Analyst, Product Manager, or System Analyst in FinTech, Banking, or Payments.
We're hiring a System Analyst with German (Intermediate+) to work on large-scale international projects.
УдалённоmiddleГеография найма не уточнена
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
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
United States - Remote
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
ОфисSan Juan, Puerto Rico; New York, NY; District of Columbia; Europe | Spain
ГибридParis
УдалённоseniorRemote Canada
УдалённоseniorRemote US
ГибридParis, France; Bordeaux, France
is a nationwide network of advanced practice providers and specialty clinicians committed to delivering high-quality, proactive care directly to residents in skilled nursing and long-term care facilities; to provide on-site care to residents in long-term care settings; Provide primary care services to residents in skilled nursing and long-term care facilities
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