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: Germany (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany.
The opportunity:
Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did.
It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities.
You'll join the
Product Analytics team
, a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role.
About the product:
The experimentation app is built on the Grafana App Platform:
Frontend:
a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels.
Backend:
Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management.
Feature flags:
integration with
OpenFeature
and the
OpenFeature Remote Evaluation Protocol (OFREP)
, Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator.
Statistics engine:
a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations.
Data:
experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources.
AI:
experiment authoring assisted by
Grafana Assistant
, which discovers relevant data and drafts the experiment configuration for a human to review.
What You’ll be doing:
Evolve the experimentation app from internal tool to product.
Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration.
Build the experimentation experience.
Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers.
Make instrumentation easier to adopt and trust
. Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts.
Connect experiments to the rest of Grafana’s user-experience stack.
Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see
why
a variant won, not only
that
it won.
Harden the statistics and analysis path.
Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results.
Use AI where it genuinely helps.
Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments.
Raise the engineering bar.
Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation.
Own what you ship.
Take part in on-call for the services you build, and support the internal teams that run experiments on them.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What makes you a great fit:
We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team.
Strong full-stack engineering experience.
You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices.
Experience building an in-house platform or integrating existing experimentation and A/B testing platform
(for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform).
Product and data intuition.
You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery.
Technical ownership.
You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively.
Operational responsibility.
You’ve been on call, supported software in production, and know how to make systems observable and debuggable.
Pragmatic AI usage.
You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed
and
quality.
Clear communication.
You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment.
Bonus Points For:
Hands-on experience with feature flags and OpenFeature.
A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch.
Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps.
Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes.
Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment.
Open source contribution or maintainership.
Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab.
Compensation & Rewards:
In Germany, the base compensation range for this role is €
100,000 - €125,000
. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Spain (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany.
The opportunity:
Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did.
It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities.
You'll join the
Product Analytics team
, a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role.
About the product:
The experimentation app is built on the Grafana App Platform:
Frontend:
a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels.
Backend:
Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management.
Feature flags:
integration with
OpenFeature
and the
OpenFeature Remote Evaluation Protocol (OFREP)
, Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator.
Statistics engine:
a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations.
Data:
experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources.
AI:
experiment authoring assisted by
Grafana Assistant
, which discovers relevant data and drafts the experiment configuration for a human to review.
What You’ll be doing:
Evolve the experimentation app from internal tool to product.
Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration.
Build the experimentation experience.
Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers.
Make instrumentation easier to adopt and trust
. Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts.
Connect experiments to the rest of Grafana’s user-experience stack.
Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see
why
a variant won, not only
that
it won.
Harden the statistics and analysis path.
Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results.
Use AI where it genuinely helps.
Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments.
Raise the engineering bar.
Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation.
Own what you ship.
Take part in on-call for the services you build, and support the internal teams that run experiments on them.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What makes you a great fit:
We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team.
Strong full-stack engineering experience.
You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices.
Experience building an in-house platform or integrating existing experimentation and A/B testing platform
(for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform).
Product and data intuition.
You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery.
Technical ownership.
You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively.
Operational responsibility.
You’ve been on call, supported software in production, and know how to make systems observable and debuggable.
Pragmatic AI usage.
You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed
and
quality.
Clear communication.
You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment.
Bonus Points For:
Hands-on experience with feature flags and OpenFeature.
A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch.
Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps.
Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes.
Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment.
Open source contribution or maintainership.
Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab.
Compensation & Rewards:
In Spain, the base compensation range for this role is €85
,000 - €107,000
. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Republic of Ireland (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany.
The opportunity:
Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did.
It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities.
You'll join the
Product Analytics team
, a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role.
About the product:
The experimentation app is built on the Grafana App Platform:
Frontend:
a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels.
Backend:
Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management.
Feature flags:
integration with
OpenFeature
and the
OpenFeature Remote Evaluation Protocol (OFREP)
, Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator.
Statistics engine:
a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations.
Data:
experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources.
AI:
experiment authoring assisted by
Grafana Assistant
, which discovers relevant data and drafts the experiment configuration for a human to review.
What You’ll be doing:
Evolve the experimentation app from internal tool to product.
Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration.
Build the experimentation experience.
Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers.
Make instrumentation easier to adopt and trust
. Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts.
Connect experiments to the rest of Grafana’s user-experience stack.
Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see
why
a variant won, not only
that
it won.
Harden the statistics and analysis path.
Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results.
Use AI where it genuinely helps.
Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments.
Raise the engineering bar.
Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation.
Own what you ship.
Take part in on-call for the services you build, and support the internal teams that run experiments on them.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What makes you a great fit:
We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team.
Strong full-stack engineering experience.
You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices.
Experience building an in-house platform or integrating existing experimentation and A/B testing platform
(for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform).
Product and data intuition.
You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery.
Technical ownership.
You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively.
Operational responsibility.
You’ve been on call, supported software in production, and know how to make systems observable and debuggable.
Pragmatic AI usage.
You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed
and
quality.
Clear communication.
You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment.
Bonus Points For:
Hands-on experience with feature flags and OpenFeature.
A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch.
Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps.
Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes.
Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment.
Open source contribution or maintainership.
Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab.
Compensation & Rewards:
In Ireland, the base compensation range for this role is
EUR 107,000
- EUR 134,000
.
Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: United Kingdom (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany.
The opportunity:
Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did.
It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities.
You'll join the
Product Analytics team
, a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role.
About the product:
The experimentation app is built on the Grafana App Platform:
Frontend:
a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels.
Backend:
Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management.
Feature flags:
integration with
OpenFeature
and the
OpenFeature Remote Evaluation Protocol (OFREP)
, Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator.
Statistics engine:
a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations.
Data:
experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources.
AI:
experiment authoring assisted by
Grafana Assistant
, which discovers relevant data and drafts the experiment configuration for a human to review.
What You’ll be doing:
Evolve the experimentation app from internal tool to product.
Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration.
Build the experimentation experience.
Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers.
Make instrumentation easier to adopt and trust
. Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts.
Connect experiments to the rest of Grafana’s user-experience stack.
Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see
why
a variant won, not only
that
it won.
Harden the statistics and analysis path.
Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results.
Use AI where it genuinely helps.
Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments.
Raise the engineering bar.
Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation.
Own what you ship.
Take part in on-call for the services you build, and support the internal teams that run experiments on them.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What makes you a great fit:
We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team.
Strong full-stack engineering experience.
You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices.
Experience building an in-house platform or integrating existing experimentation and A/B testing platform
(for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform).
Product and data intuition.
You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery.
Technical ownership.
You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively.
Operational responsibility.
You’ve been on call, supported software in production, and know how to make systems observable and debuggable.
Pragmatic AI usage.
You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed
and
quality.
Clear communication.
You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment.
Bonus Points For:
Hands-on experience with feature flags and OpenFeature.
A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch.
Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps.
Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes.
Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment.
Open source contribution or maintainership.
Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab.
Compensation & Rewards:
In the UK, the base compensation range for this role is £94
,000 - £118,000
. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: London
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
The role
As a Data Science Manager in the Payments Performance pillar you will lead a team of smart and ambitious data scientists that drive the success of our machine learning solution for payment optimization. We are looking for someone passionate about building high-performing teams that consistently deliver value in a rapidly evolving area.
You’ll be working with data scientists, analysts and engineers on creating technical solutions and communicating effectively across teams and senior leadership. Your leadership will be pivotal for translating complex problems into actionable roadmaps that ultimately impact millions of online shoppers worldwide.
How you’ll make an impact
- Drive the roadmap and priorities for your team, and work with many leaders across the company to enhance our ability to deliver best-in-class performance, through ML.
- Build the brain behind mission-critical products that make real-time decisions during the payment processing flow.
- Collaborate with stakeholders across the organization such as engineering, analytics, operations and product.
- Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.
What we’re looking for
- You have at least 2 years of direct management experience leading data science and ML teams in a complex domain.
- Strong background as a Data Scientist (5+ years of proven experience)
- You’ve managed teams that have built and shipped machine learning systems and data products at scale.
- You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
- You thrive on a high level of autonomy and responsibility.
- You foster a healthy, inclusive, challenging, and supportive work environment.
- Growth mindset, always on the lookout for stretch challenges.
- Excellent communication skills, ability to simplify machine learning concepts and data analyses for broad audiences.
- Experience dealing with data from complex domains (FinTech, Fraud Detection or Payments Processing are a significant plus)
- A PhD or MS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering) is considered a plus.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: Athens, Greece
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.
At Wolt, you can grow your sales career with a fun and fast-scaling global business. Part of the DoorDash team, we’re building a global logistics platform that can deliver (almost) everything in your city, to your door in minutes. Today, our products are used by 55+ million registered users who can now order from 200,000+ restaurants and retail stores across 30+ countries around the world.
Our Sales teams create and build our relationships with merchants. Together, we’ve helped big brands, local stores and neighborhood restaurants do over €15 billion’s worth of business through our platform. We’re constantly launching new cities and products, so there are always new opportunities to expand your skills and progress your career.
What you’ll be doing
As a member of the Sales Support team, you will play a key role in providing ongoing support to ensure a smooth and high-quality experience to our merchant partners. This includes establishing effective communication channels, maintaining service standards, assisting partner growth through data-driven insights, and collaborating with internal teams to resolve urgent needs and share best practices.
What you’ll be doing:
Menu & Assortment Management –
Leading updates and improvements to restaurant menus and retail assortments on the platform;
Quality & Satisfaction Checks –
Ensuring our portfolio of stores reach the highest Wolt service standards by conducting regular quality and satisfaction assessments;
Training & Support –
Training our partner venues on how to use Wolt’s Portal and equipment to operate effectively and independently;
Sales & Operational Support –
Assisting the Account Management and Merchant teams with partner-related administrative tasks, coordination, and performance-boosting initiatives;
Equipment & Tech Management –
Resolving technical issues related to merchant operations;
Process Improvement –
Identifying bottlenecks, suggesting improvements, and taking ownership of projects aimed at enhancing partner satisfaction and operational efficiency;
Collaboration –
Working closely with internal teams to ensure a seamless and high-quality experience for both new and existing partners, while staying agile as the company continues to grow.
Our humble expectations:
Detail-Oriented & Organized
– You enjoy structure and keeping things running smoothly;
Customer-Focused
– Previous experience in customer service, administration, or sales support is a plus;
Tech-Savvy
– Comfortable working with digital tools and managing data;
Great Communicator
– You’ll be in regular contact with merchants and internal teams;
Fluent in Greek & English
– Both languages are essential;
Bonus Points
– Experience in the restaurant, retail, or e-commerce industry is a plus!
Why you’ll love it
🚀
Global and growing fast:
Be part of a fast-moving scaleup
🤩
Ride of a lifetime:
Accelerate your career and build your sales skills
💪
Instant impact:
Take ownership and make a difference
💙
Big hearts and small egos:
Surround yourself with smart, friendly people
Next steps
If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply, make sure to add your CV and get the conversation going!
We will be reviewing applications on an on-going basis. If this sounds like an opportunity you want to pursue, apply today!
💙
The successful candidate's starting pay will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions.
This position is not eligible for consideration for an equity/RSU grant.
Pay Range:
€1.120
—
€1.120 EUR
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
.
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
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#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: 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: Paris, France
Workplace: Hybrid
We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger.
At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries.
The team:
To support our continued growth, we’re hiring an Engineering Manager to join the Wallet Experience business unit. You’ll work directly with the Engineering Director and lead high-performing teams that deliver core features across our top-rated native applications. This is a hands-on leadership role: you’ll shape the product experience millions of users rely on every day and help define how a modern engineering team builds with AI.
What you’ll be doing:
Management
- Lead your team and meet regularly with your direct reports to give frequent, actionable feedback.
- Drive recruitment, performance assessments, training and career development for your team.
- Help each person set clear goals and improve their practices, supporting their growth and our retention goals.
- Build AI fluency in your team: coach engineers to use AI tools well, share what works, and make AI-assisted development part of how they grow.
Tech
- Drive projects end to end, applying best-in-class engineering practices: clean architecture, strong test coverage, code review and observability.
- Lead the adoption of AI across the development lifecycle, from coding agents and AI-assisted reviews to test generation and automated workflows. Set clear guardrails for quality, security and privacy.
- Participate in sprint delivery, monitor engineering metrics, and be accountable for the quality of what ships.
- Bring forward innovative solutions and encourage innovative thinking from others, including new ways AI can remove toil and speed up delivery.
Delivery & Impact
- Work closely with Delivery Managers, Product Owners and Designers to assess feasibility, give technical recommendations, and help with estimation and planning.
- Focus the team on outcomes, not output: tie work to user and business impact, and measure it.
- Delegate effectively so work is completed as specified, without micromanaging.
- Set clear expectations and make sure practices are followed to meet Ledger’s quality bar.
Leadership & Communication
- Bring a positive “can do” attitude and be a role model for others.
- Communicate proactively and be a well-identified point of contact for other teams.
- Track progress, risks and issues, and communicate them to the right stakeholders.
- Champion a culture of continuous improvement, where the team regularly reviews and raises its own standards.
What we’re looking for:
- 3+ years of experience managing engineering teams.
- Strong experience in React.js development, tools and libraries.
- Good knowledge of browsers and web APIs.
- Knowledge of React Native is appreciated.
- Hands-on experience using AI tools in software development (e.g. coding assistants or agents), and a clear view of how to adopt them responsibly at team level.
- A track record of raising engineering standards and delivering measurable impact.
- Experience with CI/CD and building deployment pipelines is a plus.
- Knowledge of UI/UX practices in software development.
- A team-player mindset, excellent interpersonal skills and the ability to work cross-functionally.
- Enthusiasm for hiring and developing people.
- Willingness to build skills in the Web3 industry.
At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to:
- Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week
- Health & Wellness support - Health and Life Insurance.
- Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work.
- Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation.
- Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee.
For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information.
We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.
Responsibilities:
— Lead the Subledger team and develop the financial transaction accounting system;
— Design scalable architecture ensuring full traceability of money flows;
— Collaborate with Finance and Accounting teams to automate reconciliation and reduce discrepancies in reporting;
— Own and manage the subledger platform with an outcomes-based mindset, acting as the primary contact for technical, accounting, and operational issues related to transaction recording and reconciliation;
— Lead, grow, and mentor engineers, set technical direction, and ensure correctness in a system where every entry must balance;
— Drive architecture evolution towards simplicity and scalability through sound abstractions and automation;
— Ensure accurate accounting of all money movements with full traceability from source event to financial report;
— Build strong relationships with Finance and Accounting, translating accounting requirements into system design and surfacing technical constraints early;
— Partner with Payments, Bookings, Post-Booking, and Data teams integrating with the subledger, aligning on contracts, data models, and migration paths;
— Identify opportunities to reduce manual reconciliation, close reporting gaps, and eliminate discrepancies at the source;
— Track KPIs such as reconciliation accuracy, unmatched transaction rates, close-cycle timelines, and system reliability, leading recurring reviews with Finance and engineering leadership.
Requirements:
— At least 8 years of software engineering experience including 2+ years managing engineers;
— Experience with high-volume transactional systems requiring correctness, idempotency, and auditability;
— Understanding of accounting fundamentals including double-entry bookkeeping, ledgers, subledgers, reconciliation, and financial close process, with ability to apply to system design;
— Systems-minded architectural approach favoring clear invariants, clean abstractions, and automation over one-off fixes;
— Experience leading large refactors or migrations of production financial systems;
— Strong communication skills with both accountants and engineers, able to explain technical trade-offs to non-technical stakeholders;
— Strong organization and self-direction in a high-growth environment;
— Residing in Eastern or Central time zone with daily overlap with Finance, Accounting, and engineering teams.
Benefits:
— Competitive salary and pre-IPO equity packages;
— 100% premiums covered for group insurance plan including life, short-term and long-term disability coverage;
— Health Savings Account covering eligible medical and dental expenses;
— Access to telemedicine services for employees and dependents;
— RRSP plan with automatic pre-tax withdrawals;
— Generous parental leave above industry standards;
— Unlimited PTO;
— Travel stipend and work-from-home stipend;
— Access to co-working spaces on demand;
— Entrepreneurial culture with open communication and small dynamic teams.
Note: Remote position based in Ontario, Canada with requirement to work in Eastern or Central time zone.
ГибридLondon, United Kingdom
seniorGermany (Remote)
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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
United States - Remote
ГибридParis
ГибридParis, France
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!
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