Responsibilities:
— Define and lead the strategy and roadmap for fraud prevention, covering account integrity, money movement, decisions, controls, and customer protection experiences.
— Develop and implement a strategic vision to reduce fraud and enhance risk management, including managing holds, limit structures, step-up verification, and friction points.
— Design user journeys that balance risk-based friction with minimal disruption to legitimate users.
— Build operational and platform tools to support risk and support teams in managing case volumes and exceptions.
— Collaborate with data science teams to develop, deploy, and improve machine learning models continuously.
— Establish and monitor metrics to evaluate risk effectiveness, operational efficiency, and customer experience impact.
— Support scaling of Mercury's risk capabilities across expanding product offerings.
Requirements:
— Over 7 years of product management experience, specifically in fraud or risk within banking or fintech sectors.
— Strong customer empathy and understanding of how risk friction affects user experience, growth, and retention.
— Experience with complex automated decision systems, rules, machine learning models, and real-time data pipelines.
— Proficiency in analytics and the ability to interpret performance metrics and trade-offs in ML models.
— Proven cross-functional leadership skills, especially in balancing risk, compliance, and customer experience.
— Excellent communication skills to translate complex risk concepts into actionable product strategies.
— Ability to make balanced decisions amid ambiguity and imperfect information.
Benefits:
— Competitive total rewards package including base salary, equity (stock options/RSUs), and benefits.
— Salary ranges are competitive within SaaS and fintech industries and adjusted based on experience, expertise, location, and internal equity.
Additional Information:
— Work location options include on-site in San Francisco, New York, Portland (US), or remote within Canada or the United States.
— Mercury is a fintech company providing banking platforms and financial services for startups and small businesses.
— Mercury is not an FDIC-insured bank; banking services are provided through partner institutions.
— Mercury is an Equal Employment Opportunity employer committed to diversity and inclusion, providing accommodations for applicants with disabilities or special needs.
Responsibilities:
— Build systems to detect personally identifiable information (PII), quasi-identifiers, credentials, and other sensitive data, designing transformations tailored to data types and downstream use cases.
— Develop and benchmark detection methods combining rules, statistical models, classifiers, and large language model (LLM)-based approaches.
— Construct production pipelines to anonymize raw data before downstream processing, training, evaluation, or synthetic data generation.
— Create evaluation frameworks to assess privacy risk and data utility, including recall-weighted metrics, leakage tests, and adversarial re-identification attempts.
— Design robust systems resilient to new data sources, schema drift, unusual formats, and hidden sensitive information.
— Collaborate with engineering, research, operations, and customers to translate privacy requirements into practical technical policies and safeguards.
Requirements:
— 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 with the ability to compare approaches across recall, precision, latency, cost, and downstream data utility.
— Understanding of redaction, masking, pseudonymization, anonymization, and synthetic data, and when each is appropriate.
— High attention to detail and ability to reason about subtle leakage paths, edge cases, and adversarial failure modes.
— Experience building end-to-end data-processing pipelines without fully prescribed roadmaps.
— Clear written and spoken English and comfort collaborating across teams and time zones.
— Preferred but not required: hands-on experience with privacy-enhancing technologies (differential privacy, k-anonymity, secure aggregation, format-preserving encryption), work with sensitive data in healthcare, finance or security, building low-latency or high-throughput ML inference or data-processing systems, or taking work from early research through to production.
— Technical aptitude and learning potential are valued more than years of experience.
Benefits:
— Full-time role starting ASAP.
— Work on-site in San Francisco or Singapore, or remotely with working hours overlapping about 70–80% with either US Pacific or Singapore business hours.
— Exact daily schedule to be agreed during hiring.
— Equal opportunity employer committed to fair and inclusive hiring without discrimination.
Candidates motivated to apply even if not meeting every requirement are encouraged to do so.
Location: New York, NY (HQ)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
Businesses need a clear, reliable way to work with their vendors, from collecting information during onboarding to keeping vendor records accurate as they purchase and pay. Vendors need a straightforward way to provide details and stay connected with the businesses they serve. Ramp’s Vendor Management & Portal team builds the systems behind those experiences.
We’re looking for a Senior Backend Engineer to make vendor information easier to collect, connect, and use across Ramp. You’ll work on services that support vendor profiles, onboarding requests, and the vendor portal, where identity, permissions, and data accuracy matter. You’ll own meaningful projects from design through launch and partner with product, design, and other engineering teams to make these workflows dependable for both businesses and vendors.
WHAT YOU’LL DO
- Design and build backend services and APIs for vendor profiles, onboarding, and portal workflows.
- Improve how vendor records and portal accounts are matched and connected, reducing duplicate work and making shared information more reliable.
- Build workflows for collecting and updating vendor information, including payment and tax details, with clear permissions and accurate data handling.
- Make vendor data available consistently across the products that depend on it, including procurement and bill pay.
- Own projects from problem definition and technical design through launch, monitoring, and iteration.
- Raise the quality of the team’s systems through thoughtful design reviews, code reviews, and mentorship.
WHAT YOU’LL NEED
- Experience designing, building, and operating production backend systems, including APIs, data models, and asynchronous workflows.
- Strong judgment about data integrity, access controls, reliability, and the tradeoffs involved in evolving existing systems.
- A track record of independently leading complex engineering projects from design to production.
- Product sense and curiosity about how businesses and vendors actually use the workflows you build.
- Clear communication and a collaborative approach to working across engineering, product, and design.
NICE TO HAVES
- Experience with vendor management, procurement, accounts payable, or other business finance workflows.
- Experience with identity matching, deduplication, or sharing data safely across accounts and products.
- Experience improving operational visibility and reliability in systems that handle sensitive business information.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: London, United Kingdom
Workplace: hybrid
About Global University Systems
Global University Systems (GUS) is one of the world's leading education groups, bringing together a diverse network of higher education institutions, academic partners and student recruitment organisations across multiple countries.
With more than 11,000 colleagues and 36 academic institutions worldwide, we combine global scale with an entrepreneurial mindset, creating opportunities to innovate, grow and make an impact. As an ambitious international organisation, we continue to evolve, invest and expand, giving our people the chance to help shape what comes next and to change lives through education.
The Role
We are looking for a highly organised and relationship-focused Post-Acquisition Project Manager to join our growing Value Creation team.
Acquisitions are a critical part of GUS's growth strategy. This role will ensure newly acquired institutions transition smoothly from transaction completion into operational ownership, helping deliver a structured and successful integration experience.
You'll act as the central coordinator during the first stages of ownership, working across finance, legal, governance, compliance, technology, operations and leadership teams to ensure completion actions are delivered, obligations are met and integration activities stay on track.
This is a role for someone who enjoys bringing order to complexity, building relationships across multiple stakeholder groups and making sure important projects move forward at pace.
You'll have significant visibility across the organisation and will work closely with senior stakeholders involved in acquisitions and portfolio management.
What you'll be doing
Owning and coordinating post-acquisition integration plans for newly acquired institutions.
Managing post-completion activities and ensuring all transaction-related actions are completed on time.
Coordinating activity across finance, legal, regulatory, governance, compliance and operational workstreams.
Tracking completion conditions, obligations and key milestones following acquisition close.
Establishing governance processes, reporting structures and project tracking tools.
Managing project plans, dependencies, risks and issue logs.
Producing regular progress updates for senior stakeholders and leadership teams.
Supporting board, governance and regulatory transition activities where required.
Acting as a key point of contact between GUS teams and newly acquired institutions.
Supporting the handover from transaction delivery into longer-term value creation programmes.
Leading or supporting specific transformation and integration projects across the portfolio.
Driving accountability and ensuring actions are completed by relevant stakeholders.
What we're looking for
You will be an experienced project professional who is comfortable operating across multiple workstreams and stakeholder groups, particularly within acquisition, integration or transformation environments.
Ideally, you will bring:
5-10 years' experience in project management, integration, transformation, PMO or M&A environments.
Experience within a private equity-backed business, consolidator, consulting firm, corporate development team or acquisitive organisation.
Strong programme and project management skills, including planning, governance and reporting.
Experience coordinating cross-functional stakeholders across finance, legal, compliance, operations and leadership teams.
Excellent communication and relationship-building skills.
A structured approach to problem-solving and managing competing priorities.
Strong risk management and organisational skills.
The ability to bring clarity and momentum to complex projects.
Experience supporting integration, carve-out, transformation or post-merger activities.
Confidence working with senior stakeholders and executives.
Experience within education is not essential. We are particularly interested in individuals who have worked in environments where acquisitions, integrations and organisational change are a regular part of business operations.
What you'll gain
This is an opportunity to join a newly forming Value Creation team and play a key role in supporting GUS's acquisition strategy. You'll gain exposure to high-profile transactions, work closely with senior leaders and help shape how acquisitions are successfully integrated across a global education group.
What we offer:
Hybrid working -
most roles offer hybrid or flexible arrangements to support work-life balance.
Contributory Pension Scheme -
5% personal contribution & 3% Company contribution, so you can build long-term financial security with added benefits of the company contributions.
Private Medical Insurance (T&C's apply) -
prioritising your wellbeing with speedy access to healthcare whenever you need support.
25 days annual leave plus bank holidays -
time to rest, recharge, and balance life beyond work.
Season Ticket Loan (T&C's apply) -
spread the cost of your commute with an interest-free travel loan.
Eye Care Vouchers -
support for regular eye tests and essential eyewear.
Training & Development opportunities (T&C's apply) -
access to short courses via FutureLearn and Group-wide professional development programmes.
Staff Discount Scheme -
via My Rewards Hub, from various retailers – Fashion, Grocery, Health & Beauty, Travel, Automotive, Furniture, Dining, Sports and Leisure, Electronics, etc
Employee Assistance Programme -
confidential support for your wellbeing, whenever you need it.
Refer a Friend Scheme for staff members (T&C's apply) -
earn rewards for helping us bring great talent into the team
If you feel this is the role you are looking for, please click below to apply for the role!
We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search.
GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.
Our data privacy policy can be viewed
here
.
Location: London, United Kingdom
Workplace: hybrid
About Global University Systems
Global University Systems (GUS) is one of the world's leading education groups, bringing together a diverse network of higher education institutions, academic partners and student recruitment organisations across multiple countries.
With more than 11,000 colleagues and 36 academic institutions worldwide, we combine global scale with an entrepreneurial mindset, creating opportunities to innovate, grow and make an impact. As an ambitious international organisation, we continue to evolve, invest and expand, giving our people the chance to help shape what comes next and to change lives through education.
The Role
We are looking for a highly organised and relationship-focused Post-Acquisition Project Manager to join our growing Value Creation team.
Acquisitions are a critical part of GUS's growth strategy. This role will ensure newly acquired institutions transition smoothly from transaction completion into operational ownership, helping deliver a structured and successful integration experience.
You'll act as the central coordinator during the first stages of ownership, working across finance, legal, governance, compliance, technology, operations and leadership teams to ensure completion actions are delivered, obligations are met and integration activities stay on track.
This is a role for someone who enjoys bringing order to complexity, building relationships across multiple stakeholder groups and making sure important projects move forward at pace.
You'll have significant visibility across the organisation and will work closely with senior stakeholders involved in acquisitions and portfolio management.
What you'll be doing
Owning and coordinating post-acquisition integration plans for newly acquired institutions.
Managing post-completion activities and ensuring all transaction-related actions are completed on time.
Coordinating activity across finance, legal, regulatory, governance, compliance and operational workstreams.
Tracking completion conditions, obligations and key milestones following acquisition close.
Establishing governance processes, reporting structures and project tracking tools.
Managing project plans, dependencies, risks and issue logs.
Producing regular progress updates for senior stakeholders and leadership teams.
Supporting board, governance and regulatory transition activities where required.
Acting as a key point of contact between GUS teams and newly acquired institutions.
Supporting the handover from transaction delivery into longer-term value creation programmes.
Leading or supporting specific transformation and integration projects across the portfolio.
Driving accountability and ensuring actions are completed by relevant stakeholders.
What we're looking for
You will be an experienced project professional who is comfortable operating across multiple workstreams and stakeholder groups, particularly within acquisition, integration or transformation environments.
Ideally, you will bring:
5-10 years' experience in project management, integration, transformation, PMO or M&A environments.
Experience within a private equity-backed business, consolidator, consulting firm, corporate development team or acquisitive organisation.
Strong programme and project management skills, including planning, governance and reporting.
Experience coordinating cross-functional stakeholders across finance, legal, compliance, operations and leadership teams.
Excellent communication and relationship-building skills.
A structured approach to problem-solving and managing competing priorities.
Strong risk management and organisational skills.
The ability to bring clarity and momentum to complex projects.
Experience supporting integration, carve-out, transformation or post-merger activities.
Confidence working with senior stakeholders and executives.
Experience within education is not essential. We are particularly interested in individuals who have worked in environments where acquisitions, integrations and organisational change are a regular part of business operations.
What you'll gain
This is an opportunity to join a newly forming Value Creation team and play a key role in supporting GUS's acquisition strategy. You'll gain exposure to high-profile transactions, work closely with senior leaders and help shape how acquisitions are successfully integrated across a global education group.
What we offer:
Hybrid working -
most roles offer hybrid or flexible arrangements to support work-life balance.
Contributory Pension Scheme -
5% personal contribution & 3% Company contribution, so you can build long-term financial security with added benefits of the company contributions.
Private Medical Insurance (T&C's apply) -
prioritising your wellbeing with speedy access to healthcare whenever you need support.
25 days annual leave plus bank holidays -
time to rest, recharge, and balance life beyond work.
Season Ticket Loan (T&C's apply) -
spread the cost of your commute with an interest-free travel loan.
Eye Care Vouchers -
support for regular eye tests and essential eyewear.
Training & Development opportunities (T&C's apply) -
access to short courses via FutureLearn and Group-wide professional development programmes.
Staff Discount Scheme -
via My Rewards Hub, from various retailers – Fashion, Grocery, Health & Beauty, Travel, Automotive, Furniture, Dining, Sports and Leisure, Electronics, etc
Employee Assistance Programme -
confidential support for your wellbeing, whenever you need it.
Refer a Friend Scheme for staff members (T&C's apply) -
earn rewards for helping us bring great talent into the team
If you feel this is the role you are looking for, please click below to apply for the role!
We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search.
GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.
Our data privacy policy can be viewed
here
.
Location: London
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
As a
Senior HR Technology Analyst
, you will be a hybrid functional and technical subject matter specialist on the HR Technology team—pairing hands-on Workday configuration with strong reporting and analytics skills. You will administer and configure DRW's global HR system, Workday, while also partnering with our HR Reporting Analyst as a responsible owner of scheduled and ad hoc reporting needs across Workday, business intelligence tools, and emerging AI-enabled analytics. You will partner closely with HR and business stakeholders on system support, survey programs, and a variety of business-facing projects that improve employee experience and operational effectiveness.
Core Duties:
HR Technology & Workday Configuration
Administer and configure Workday HCM across modules such as Core HCM, Payroll, Benefits, Time Tracking, Absence, Compensation, Performance, and Talent, including troubleshooting, processing changes, business process configuration, security maintenance, integration monitoring, EIB creation and loading, and functional testing
Provide senior-level functional support for end users, diagnosing issues, identifying root causes, and delivering durable solutions
Partner with HR stakeholders to gather requirements, translate business needs into Workday configuration, and deliver scalable process improvements that support DRW's growth and employee experience
Support Workday's semi-annual system upgrades, including release note review, design recommendations, configuration, and user acceptance testing
Develop user guides, system documentation, and training materials; assist with Workday training as needed
Maintain HRIS data integrity through audits, analysis, and ongoing data quality practices
Serve as a backup for Workday permissions, security administration, and related system governance
Remain current on HR technology and data strategies, including opportunities to leverage Workday, integrations, BI, and AI tools for operational effectiveness
Reporting, Analytics & Insights
Partner with the HR Reporting Analyst as a responsible owner of Workday reporting, calculated fields, dashboards, and related analytics
Own and execute regular scheduled reporting, and support ad hoc reporting requests for HR and business stakeholders
Build, maintain, and improve reports and dashboards in Workday; support reporting needs in adjacent systems (for example, Greenhouse) as needed
Use business intelligence tools and AI-enabled analytics tools to extract, analyze, and present workforce insights that support decision-making
Help maintain the catalog of reports, dashboards, and analytics assets, ensuring accuracy, documentation, and timely delivery
Partner with stakeholders to define reporting requirements, manage expectations, and continuously improve reporting structure and data quality
Survey Support & Business-Facing Projects
Support engagement, pulse, and other business survey programs end to end—including setup, administration, reporting, and stakeholder follow-up as needed
Partner with HR and business leaders on survey design, distribution, results packaging, and related action-planning support
Lead or contribute to miscellaneous business-facing HR Technology projects, balancing configuration work, reporting deliverables, and stakeholder communication
Support broader HR Operations and HR Technology initiatives as needed, bringing both systems and analytics perspectives to project work
Required Skills & Experience:
Bachelor's degree
5–7+ years of progressive HRIS / HR Technology experience, with substantial hands-on Workday functional configuration experience in one or more of: HCM, Compensation, Payroll, Benefits, Talent, Time Tracking, Absence Management, Security, and Reporting
Demonstrated Workday configuration and implementation experience, with the ability to translate business needs into technical requirements and deliver production-ready solutions
Strong Workday reporting experience, including designing, building, testing, and maintaining custom reports, calculated fields, and dashboards
Experience owning scheduled reporting cycles and partnering on reporting deliverables in a deadline-driven environment
Proficiency with business intelligence / analytics tools (for example, Tableau, Power BI, or similar); comfort exploring and applying AI tools to accelerate analysis, documentation, and insight generation
Demonstrated ability to use AI tools thoughtfully and effectively for analysis, reporting support, documentation, and problem-solving, with good judgment about when AI adds value and when human review is required
Advanced Microsoft Excel skills, including extracting, manipulating, and validating data to produce accurate, actionable outputs
Experience supporting survey programs (engagement, pulse, or other business surveys) preferred
Strong understanding of HR business processes and operational analysis across areas such as payroll, benefits, compensation, recruiting, talent, and performance management
Excellent communication, stakeholder management, and customer service skills, with the ability to work effectively with both technical and non-technical partners
Strong organization, prioritization, and project management skills, with proven ability to balance concurrent configuration, reporting, and project work
High attention to detail, sound judgment, and experience handling highly confidential information with discretion
Ability to thrive in a fast-paced environment, adapt to changing priorities, and collaborate broadly across the organization
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-AA1
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.
Location: Singapore; Philippines; Albania; Ukraine; Indonesia; Australia; Serbia; Thailand; Khazakstan; Armenia; Türkiye; Romania
Workplace: Remote
Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones)
Start Date: ASAP
Languages: English
Team: Engineering
ABOUT THE ROLE
Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand.
We are looking for a Research Engineer, Privacy and Anonymization to build the systems that make sensitive, real-world data safe and still useful for AI training. You will develop methods to detect and remove personally identifiable information, secrets and other sensitive content from raw data before it enters processing and synthetic data pipelines — protecting privacy without destroying the structure and signal that make the data valuable for training agents.
This is a privacy and data-protection engineering seat, not a synthetic-task design role. You will own the pipeline that stands in front of downstream processing, training, evaluation and synthetic generation.
This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring.
WHAT YOU'LL DO
- Build systems to detect PII, quasi-identifiers, credentials and other sensitive information, and design transformations based on the data type and the downstream use case.
- Develop and benchmark detection approaches that combine rules, statistical models, classifiers and LLM-based methods.
- Build production pipelines that anonymize raw data before it enters downstream processing, training, evaluation or synthetic data generation.
- Create evaluation frameworks that measure privacy risk and retained data utility, including recall-weighted metrics, leakage tests and adversarial re-identification attempts.
- Design systems that stay robust to new data sources, schema drift, unusual formats and sensitive information embedded in unexpected fields.
- Work with engineering, research, operations and customers to translate privacy requirements into practical technical policies and safeguards.
WHAT WE'RE LOOKING FOR
- Strong proficiency in Python, and experience building reliable production data or machine-learning systems.
- Experience with information extraction, named-entity recognition, classification, or related methods for detecting rare or sensitive content.
- Strong experimental instincts, and the ability to compare approaches across recall, precision, latency, cost and downstream data utility.
- An understanding of the difference between redaction, masking, pseudonymization, anonymization and synthetic data — and when each is appropriate.
- High attention to detail, and the ability to reason about subtle leakage paths, edge cases and adversarial failure modes.
- Experience building data-processing pipelines end to end, including where there was no fully prescribed roadmap.
- Clear written and spoken English, and comfort collaborating across teams and time zones.
- Strong candidates may also have hands-on experience with privacy-enhancing technologies (such as differential privacy, k-anonymity, secure aggregation or format-preserving encryption); have worked with sensitive data in healthcare, finance or security; have built low-latency or high-throughput ML inference or data-processing systems; or have taken work from early research through to production.
- Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above.
WHY THIS ROLE MATTERS FOR YOU
- Make real-world data safe to train on: You will build the systems that let sensitive data be used for AI training without exposing people or secrets.
- Privacy without wrecking utility: The job is not only to redact, but to keep the structure and signal that downstream training and synthetic pipelines need.
- From detection to production: You will own the full path: detection methods, transformations, evaluation, and the pipeline that sits in front of training and generation.
- Hard, high-stakes edge cases: Work on leakage paths, schema drift and adversarial failure modes, not only clean benchmark datasets.
- San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring.
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
Location: San Juan, Puerto Rico; New York, NY; District of Columbia; Europe | Spain
Workplace: Hybrid
About the Company
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Norwest, Galaxy Ventures, Dragonfly, Bessemer Venture Partners, FirstMark, Lightspeed, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
Our Ethos
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
About the role
Rain builds payments and stablecoin infrastructure. Finance, Risk, Compliance, and our partners rely on data from card transactions, settlements, ledger entries, and onchain transfers.
We’re looking for a Data Engineer with batch and streaming experience to bring this data into our warehouse and keep it correct. You’ll build scalable, idempotent pipelines that handle late and duplicate data and alert us when something breaks.
At Rain, everyone models data, writes production-quality code, and automates their own workflows. We use AI to speed up repetitive work, but we own and check the results. In this role, you’ll automate ingestion and quality checks so new sources come online quickly and stay trustworthy.
What you’ll do
- Build scalable batch and streaming pipelines, choosing the right approach for latency, cost, and correctness.
- Process events near real time, handling deduplication, windowing, and late or out-of-order events.
- Own batch ingestion from databases (CDC), files (SFTP and GCS), APIs, and onchain sources.
- Build incremental dbt models that handle late data, duplicates, CDC deletes, and backfills; reconcile streaming and batch outputs.
- Orchestrate pipelines in Dagster with sensors, schedules, and alerts.
- Add freshness, volume, and reconciliation checks to every source, and fix root causes.
- Work with backend pods on event and table contracts to prevent downstream breakage.
- Partner with Analytics Engineers, Data Scientists, and Risk on their data needs, including ML features.
What you’ll need
- At least 3 years building production data solutions, including owning both batch and streaming pipelines end to end, from source to warehouse.
- Experience designing data solutions at scale.
- Strong SQL and Python / Rust, plus experience with a cloud data warehouse such as BigQuery, ClickHouse, or Snowflake and an understanding of their trade-offs.
- Streaming experience with tools such as Pub/Sub, Kafka, Dataflow/Beam, or Flink.
- Batch experience with dbt and an orchestrator such as Dagster or Airflow.
- Experience with production data quality testing, monitoring, and reconciliation.
- Ability to debug across the source database, pipeline, warehouse, and report.
- Ability to use AI tools to learn and work faster while checking their output.
Nice to have
- Building offline and real-time ML feature pipelines, such as fraud or risk features.
- Working with payments, banking, or blockchain data, including EVM or Solana events and indexers.
- Using CDC and ingestion tools such as Datastream, Debezium, Meltano, Fivetran, or Airbyte.
- Experience with GCP.
Things that enable a fulfilling, healthy and happy experience at Rain:
Flexible time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
Location: San Juan, Puerto Rico; New York, NY; District of Columbia; Europe | Spain
Workplace: OnSite
About the Company
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Norwest, Galaxy Ventures, Dragonfly, Bessemer Venture Partners, FirstMark, Lightspeed, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
Our Ethos
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
About the role
Rain is building payments and stablecoin infrastructure, and our data platform holds some of the most sensitive data a company can have: cardholder, ledger, and partner data across many countries.
We’re looking for a Data Platform Engineer who has built and run data platforms for both batch and streaming to own the platform our data team and engineering pods depend on: the warehouse, streaming infrastructure, orchestration, BI, ML platform, access controls, and the tooling that makes all of it safe, reliable, and cost-efficient. Your product is the platform, and your customers are the engineers, analysts, and scientists who build on it.
You’ll own the platform layer: the data and ML platform, the infrastructure for ingestion and processing in batch and streaming, data governance and security compliance, the warehouse, and the analytics and BI tooling. Data Engineers, Analytics Engineers, Data Scientists, and engineering pods build on it to run experiments, operate reliably, and turn data into decisions.
At Rain, we’re builders who use AI to automate repetitive work. That changes what data roles look like: where a data scientist used to only analyze and an analyst used to only build dashboards, here everyone models data, writes production-quality code, and automates their own workflows. You own the result, including checking what the AI produces. For this role, that means automating access, deploys, and governance so the platform runs itself and stays compliant.
What you’ll do
- Design and build data platforms at scale for both batch and streaming, choosing storage, compute, and processing based on latency, cost, and reliability needs.
- Own the infrastructure for BigQuery, streaming (such as Pub/Sub or Kafka, and Dataflow or Flink), Dagster+, and Lightdash as code, including environments, CI/CD, and deploys.
- Own access and governance: IAM, policy tags, PII contracts, masked and no-PII access paths, and audit logs, across tables and streams.
- Provide ML platform capabilities: feature pipelines, training data, and serving real-time features to fraud and risk models.
- Build platform tooling: templates, CI checks, schema registry and data contracts, catalog, and lineage.
- Monitor platform reliability, latency, and cost, and fix what is slow or expensive.
- Design how backend events and CDC land in the warehouse, and advise backend pods on event design.
- Respond to platform incidents and access requests, and automate the repetitive ones away.
What you’ll need
- At least 4 years building and running data platforms in production on a cloud provider such as GCP, AWS, or Azure, in both batch and streaming: you have operated infrastructure for each, not only one.
- Experience designing data platforms at scale: storage and compute choices, multi-team access, reliability, and cost.
- Experience operating cloud data warehouses and real-time stores such as BigQuery and ClickHouse.
- Experience operating streaming infrastructure such as Pub/Sub, Kafka, Dataflow, or Flink, including retention, schema evolution, replay, and lag monitoring.
- Experience operating batch infrastructure: orchestration (Dagster or Airflow), CI/CD, and environments.
- Infrastructure as code with Terraform.
- Experience with access control and data governance, such as IAM, column- or row-level security, and PII handling.
- Strong Python and SQL.
- Proficiency using AI tools to learn new skills and accelerate your work, while taking responsibility for checking the output.
Nice to have
- ML infrastructure experience, such as feature stores, Vertex AI, or model serving.
- Experience in regulated environments such as payments, banking, PCI, or SOC 2.
- Experience with data catalogs and lineage tools.
- Experience with cost optimization in BigQuery, ClickHouse, or Snowflake.
- Experience with CDC tools such as Datastream or Debezium.
Things that enable a fulfilling, healthy and happy experience at Rain:
Flexible time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
Location: 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.
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
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.
ГибридseniorNew York, NY (HQ); Relocation expense coverage to NYC or SF (if needed)
ГибридLondon, United Kingdom
ГибридLondon, United Kingdom
seniorUnited States - Remote
seniorUnited States - Remote
seniorLondon
seniorUnited States - Remote
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
seniorUnited States - Remote
УдалённоSingapore; Philippines; Albania; Ukraine; Indonesia; Australia; Serbia; Thailand; Khazakstan; Armenia; Türkiye; Romania; Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones); Clear written and spoken English, and comfort collaborating across teams and time zones
ГибридSan Juan, Puerto Rico; New York, NY; District of Columbia; Europe | Spain
United States - Remote
ОфисSan Juan, Puerto Rico; New York, NY; District of Columbia; Europe | Spain
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
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