Location: Argentina
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
We're looking for an experienced partnerships leader to build and scale our Commercial Partners Programme in Southern Latam — bringing together resellers, systems integrators, and consulting firms who help deploy ElevenLabs' technology to their clients across the Southern Latam market.
You'll own the reseller, integrator, and consulting partner strategy end-to-end — from building relationships with leading SIs, consultancies, and resellers, to onboarding, enabling, and activating them to sell and deliver ElevenLabs products.
This is a 0→1 build: you'll design and pilot partner incentive and enablement models, generate qualified pipeline through partner-led opportunities, and scale the programme against regional growth targets, while owning day-to-day execution and partner performance.
WHAT SUCCESS LOOKS LIKE (FIRST 6–9 MONTHS)
- Partner-Sourced & Influenced Revenue: closed-won ARR through GSIs, RSIs, cloud providers, VARs, and technology partners reaching at least 20% of regional revenue
- Partner-Sourced Pipeline: qualified pipeline created through partners, with a focus on enterprise opportunities in target industries
- Revenue-Producing Partners: number of partners actively generating pipeline, opportunities, or revenue each quarter
- Time-to-First Revenue: speed from partner onboarding to first sourced opportunity and first closed-won deal
- Strategic Account Penetration: new enterprise accounts and executive relationships unlocked through partners that ElevenLabs would've struggled to access directly
REQUIREMENTS
- 12+ years building and scaling an in-country SaaS/Cloud solution, with a strong network you can leverage from day one
- 4+ years owning RSI, GSI, and hyperscaler partnerships, with proven experience driving joint account planning, co-sell, and revenue — not just relationship management
- A builder mindset — experience creating partner motions from 0→1, rather than inheriting a mature programme
- Comfortable working with technical, API-driven products, and able to explain complex concepts to partners and customers
- Based in Buenos Aires
Bonus: Mix of 3-4 years in sales + 3-4 years in partnerships/alliances; mix of 3-4 years at a large company + 3-4 years at a smaller/less established company
#LI-remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: Remote, USA
Workplace: remote
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
*This position is remote for candidates living in North America.
Position Summary:
Your focus is on providing an exceptional customer experience while handling technical queries and complaints for our cloud-based healthcare solutions.
We are looking for someone who can prioritize daily tasks to resolve customer problems, independently or with others, in a timely manner using various communication channels. To do well in this role you need to be able to remain calm while trouble-shooting simple to moderately complex system issues with customers. As well, a strong understanding of administrative tasks and workflows for long term care and medical facilities is key to your success.
Reporting to the Sr Manager, Customer Support
Key Responsibilities:
• Develop an in-depth understanding of the Billing modules used to support processes and patient care in Senior Living facilities
• As a member of the Customer Support Department, your main area of responsibility will be to resolve customer issues via phone, email, chat or remote sessions
• Work effectively and professionally with other departments to resolve issues
• Document user problems through the use of an online problem management system, Salesforce’s Service Cloud
• Coordinate and execute internal, external, and or internal/external meetings to resolve problems
• Stay current with product releases, AI tools, and emerging technologies relevant to healthcare SaaS
• Be available to work between the hours of 8am to 8pm weekdays, occasional weekends, and holidays as necessary
Your Key Strengths:
• Degree in Healthcare, IT, Engineering, Business Solutions (Preferred, not required)
• Excellent interpersonal, customer support, and problem-solving skills
• Demonstrated ability to multi-task, prioritize, and manage customer expectations in an extremely fast paced and high demand environment
• Strong communication, relationship management and documentation skills
• High degree of computer literacy and excellent typing skills
• Experience providing web-based application software support
• Prior long term care experience working in a business office role
• Prior experience using PointClickCare (Preferred, Not required)
#LI-MG1
#LI-Remote
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
US: At PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $60,000 to $70,000 + Performance based bonus, and fulltime benefits.
Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all US locations.
Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.
Overtime Eligible
Location: Sweden (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 Sweden, the Base compensation range for this role is SEK
814,000
- SEK
1,017,000
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*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, United Kingdom
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Field Based Business Development Manager: New Verticals - London
Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drives everything we do. Our Commercial team sits at the centre of Deliveroo’s marketplace—shaping how we serve grocers, and new verticals worldwide. From negotiating key partnerships to unlocking new revenue streams and crafting data-led growth strategies, we take on big challenges that move the business forward. If you thrive in fast-paced, commercial environments and want to influence the future of a global brand—this is the team for you.
We’re looking for a Field based business development manager to join our London team. This is a hybrid role. In this role, you’ll help us build relationships with new retail grocery partners across the region, improving our proposition for customers and identifying ways to continue our fast growth.
Get to know our
Commercial
team — what drives us, how we work, and what you can expect.
What You’ll Be Doing
You’ll be joining the Regional UK and Ireland team. The Regional UK and Ireland team drives Deliveroo's performance across local markets, focusing on signing the best grocery retail selection and expanding our footprint within the region.
Here’s what your day-to-day might look like:
Drive regional grocery retail acquisition:
Map, prospect, pitch, and close high-value grocery retail partners across the London region to expand our local market selection.
Execute strategic business development:
Engage with independent retail grocery partners via physical visits, emails, calls, and social platforms to demonstrate the commercial value of Deliveroo’s technology.
Own the commercial onboarding journey:
Oversee the end-to-end partner onboarding process to ensure it is fast, efficient, and seamless for new partners.
Secure early partner success:
Actively support and monitor new retail grocery performance within their first eight weeks on the platform to maximise their long-term growth.
Act as a local territory expert:
Build deep insight into the regional food scene, travelling across London and surrounding areas to identify key brands that local customers crave.
What You’ll Need to Thrive
Essential
Proven new business acquisition:
Demonstrated sales experience with a track record of actively targeting new business, hunting out hidden gems, and delivering against demanding targets.
Commercial negotiation skills:
Strong commercial acumen with the ability to handle negotiations, understand marketplace economics, and structure profitable, sustainable deals.
Effective communication:
Excellent interpersonal and relationship-building skills across face-to-face, telephone, and written channels.
Autonomy and field-based resilience:
A self-motivated, tenacious approach with the ability to work independently and spend significant time out on the road meeting prospects.
Mobility requirement:
Possession of a valid driving licence and access to a personal vehicle to facilitate travel across the region.
Nice to Have
Industry sector knowledge:
Deep interest in hospitality and food delivery, with the ability to demonstrate product and industry insights to prospective clients.
Why Join Us?
At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving.
We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:
🔧
Make a visible impact every day
Your work directly improves experiences for customers, partners and riders.
🌱
Learn fast in an entrepreneurial environment
Work close to the market with autonomy, pace and real responsibility.
🧠
Build a career, not just a role
Stretch yourself, develop new skills and grow as the business evolves.
🌎
Deliver together in an inclusive culture
Collaborative, values-driven teams that support how you work best.
We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
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: Rio de Janeiro, Rio De Janeiro, Brazil
Video Editor (Brazil)
Marekting· Full-time · Remote (Brazil) · Hours 9am - 5pm EST
About Nysonian
Nysonian builds the next generation of global lifestyle brands, shaping how people travel, move, and live. We go beyond creating great products to build experiences that elevate everyday life and empower people around the world.
Our Fast-Growing Portfolio Includes:
NOBL Travel — redefining modern travel with design, durability, and performance
FLO Pilates — bringing Pilates into homes and wardrobes globally
Core Values: Winners’ Mindset | Speed with Purpose | Thoughtful Innovation | Genuineness | No Ego, Full Ownership
Important Information
To be considered for this job, in addition to applying, you must complete the form below. Any candidate who does not complete the form will be immediately disqualified.
Complete the Candidate Form
The Opportunity
We are looking for a Video Editor to create high-performing paid social video ads for Nysonian's brands. You'll work with raw footage and transform it into compelling, performance-driven ads optimized for platforms like Meta, TikTok, and YouTube. This role is focused almost entirely on editing performance marketing creative that drives purchases, improves ad performance, and helps scale spend.
This is more than a traditional editing role. Your creative work will have a direct and measurable impact on business performance, with significant opportunities for growth, ownership, and additional earnings based on the performance of the ads you create.
What You'll Own
Edit and produce high-quality video assets across social media, paid ads, websites, and campaign initiatives.
Craft compelling narratives with strong hooks, pacing, and platform-optimized storytelling techniques.
Transform UGC, influencer content, and brand footage into polished, performance-driven deliverables.
Integrate motion graphics, captions, music, and sound design to elevate overall content quality and engagement.
Convert long-form content into high-performing short-form formats, including TikTok, Reels, and YouTube Shorts.
Partner with designers, copywriters, and strategists to ensure alignment with brand and campaign objectives.
Manage multiple projects with fast turnaround times while maintaining strict adherence to brand standards and evolving platform best practices.
Analyze creative performance and use data, testing, and learnings to continuously improve future ads.
Skills & Qualifications
Bachelor's degree in Media, Film, Communications, or a related field (preferred).
2–4 years of video editing experience in fast-paced environments such as agency, DTC, or E-Commerce.
Advanced skills in editing tools including Adobe Premiere Pro, After Effects, Final Cut Pro, or equivalent platforms.
Exposure to AI-driven video tools such as Runway ML or similar platforms to enhance creative production and efficiency.
Strong understanding of content formats and performance dynamics across TikTok, Instagram, YouTube, and Meta.
Ability to edit with a focus on storytelling and marketing outcomes, including CTR, engagement, conversion, and ROAS.
Experience in motion graphics, basic animation, sound design, and a strong portfolio demonstrating high-quality, high-performing content.
Skilled storyteller with a sharp eye for detail and a strong understanding of current creative trends.
Able to thrive under tight deadlines in a high-growth environment.
Team-oriented yet independent, with a data-driven mindset and a desire to test, optimize, and improve creative performance.
Performance-Based Bonuses & Growth
At Nysonian, high performance is rewarded.
Your bonus is tied to the objective performance of the ad creatives you produce. The better your creativity performs, the greater your opportunity to earn. Depending on your salary level and performance, editors can have the opportunity to earn 50–150%+ of their base salary in performance bonuses.
What This Means
Performance-based bonuses tied to the measurable performance of your ad creatives.
Potential for significant quarterly bonus payouts.
The opportunity to earn 50–150%+ of base salary in bonuses, depending on compensation level and performance.
Higher-salaried editors may have a lower bonus percentage while still having substantial earning potential.
A clear opportunity for career growth, increased ownership, and greater earning potential as your creative performance improves.
The chance to work directly on creative that influences revenue and helps scale some of the fastest-growing DTC brands.
If you consistently produce ads that win, your growth and earning potential can grow with them.
Why You'll Love Working at Nysonian
Culture
We're founder-led and operate with speed, direct communication, and clear accountability
We invest in tools and management practices that help colleagues do their best work
Our products are used by customers globally
AI is intentionally embedded in how we work, create, and scale
Senior leaders are expected to create structure, make decisions, and stay close to execution
Growth & Development
Competitive pay and meaningful opportunities for performance-based advancement
Ownership of strategy, systems, execution, and team buildout within your function
Opportunity to build and scale a meaningful part of the business across two consumer brands
Scope and compensation growth tied to performance, role expansion, and measurable business impact
We are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, sex, religion, gender, marital status, national origin, genetics, disability, age, veteran status or other characteristics.
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
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-AA1
Location: Kyiv, Ukraine
Hi!
We are
Boosta, a holding tech company
that creates, develops, and invests in digital businesses with global potential. Today, we collaborate with over 800 specialists from different parts of the world, and millions of users use our products and services.
We are currently looking for a
Content Lead
to join our partner company.
What you will do:
Shape, develop, and regularly adapt the project’s content strategy based on business goals and analytics data.
Analyze content performance using analytics tools, identify effective and underperforming materials, find growth opportunities, and initiate relevant changes.
Regularly track key content metrics, draw conclusions, and plan next steps to improve results.
Organize and optimize content processes: build the workflow structure, assign tasks, and monitor their completion and adherence to deadlines.
Manage the content team: prioritize tasks, track performance, identify issues in a timely manner, and help the team achieve its goals.
Find, engage, and manage external contractors, monitoring the quality and timeliness of their work.
Plan and manage content budgets: build the budget, justify expenses, and control spending.
Control the quality of text and visual content, ensuring materials meet project standards.
Ensure compliance with basic SEO requirements when creating and optimizing content.
What we expect from you:
3+ years of experience working with content.
Experience managing a content team, distributing workload, setting tasks, and monitoring results.
Understanding of effective content principles and the ability to evaluate content performance based on data rather than subjective perception alone.
Hands-on experience with analytics tools.
Ability to work with content metrics, interpret analytics results, and make decisions on further content strategy.
Skills in building, systematizing, and optimizing content processes. Ability to work in a structured way, plan, and follow established processes.
Experience finding and managing external contractors.
Experience planning and controlling budgets.
Basic understanding of SEO: working with keywords, internal linking, alt tags, and other SEO content optimization principles.
Excellent written communication skills and the ability to independently create and edit high-quality texts.
Strong visual taste, understanding of quality design principles, image selection, and content formatting.
Strong communication and organizational skills, responsibility, proactivity, and a results-oriented mindset.
Your journey with us:
Step 1: Pre-screen and portfolio review.
Step 2: Interview.
Step 3: Additional interview (if needed).
Step 4: Job Offer!
Location: New York City Metropolitan Area; New Jersey
Workplace: hybrid
About the Role:
The problem you'd be solving
We build AI systems that enterprises run their business on. Production systems inside banks, insurers, and health systems, where our engineers embed with the client, learn the work, and own the outcome. We call them Forward Deployed Engineers and Forward Deployed Executives. These people hold design conversations with a Chief Data Officer on Tuesday and ship to production next Monday.
We are hiring a People & Talent Partner to help us scale our FDE/FDX, Product, and GTM teams. Five open reqs at a time, none of them generic. We would rather you run five properly than twenty badly.
Beyond filling roles, you will own the talent community strategy around Provectus, and you will build the people-operations presence for our US team locally — be the person our US colleagues come to first.
Location: Hybrid, New York: 2-3 days onsite.
Type: Full-time (W2).
What You'll Do:
Recruiting:
Full-cycle hiring across the US for Forward Deployed Engineers (software, AI/ML, architects, leads), Forward Deployed Executives, Product Owners, and Business Development Managers. Intake to offer:
Partnership with the hiring managers. You'll run calibration with them and bring market data when a scorecard doesn't match what exists.
Architect and execute Provectus's talent community strategy in the US. Meetups, workshops, hackathons, university programs, and the AI/ML communities. You don't need to have run events before. You need to want to help with that, and there's a budget and support from marketing when you do.
US hiring strategy. Talent market intelligence, compensation benchmarking, and how we position Provectus against the companies competing for the same engineers.
People operations for the US team.
You'll be the on-the-ground people partner for our US-based colleagues, working with the Head of People Operations:
Onboarding of US hires.
First point of contact for US employees on benefits, time off, policies, and day-to-day people questions.
Support for the performance review cycle for US-based staff: scheduling, collecting feedback, tracking outcomes.
Team engagement and onsite days — the rhythm that makes a hybrid New York team feel like a team.
What's the split between Recruiting and HR?
70/30
What You'll Bring:
4+ years of full-cycle recruiting experience in a fast-paced technical environment, ideally at an AI, cloud, or consulting firm
Proven track record of sourcing and hiring senior technical profiles — AI/ML engineers, software engineers, architects, or consulting leaders
Demonstrates personal AI adoption — uses AI tools as part of their recruiting workflow, not just aware of them
Exposure to HR generalist or people-operations work — onboarding, benefits, employee relations — or a clear appetite to build it. You don't need to have been an HRBP.
Excellent communication and stakeholder management skills; comfortable partnering with C-level and senior technical leadership
Highly organized, self-directed, and comfortable with ambiguity in a distributed, global team
Commitment to Provectus's core values: Obsession, Ownership, Transparency, and Partnership
Based in the New York / New Jersey area and able to be onsite [2-3] days a week
Nice to have:
Experience building talent community: events, meetups, professional networks, or university programs
Familiarity with US benefits administration, onboarding, and experience with an HRIS.
Where this goes:
This is a growing US function. The person who does this well takes on more of the community mandate, more senior searches, a deeper people-partner role as the US team grows, and a path toward owning the US talent function. We'll talk about that trajectory.
What We Offer:
Direct impact on Provectus's growth in the US market with direct visibility to leadership.
Access to the Provectus Learning Hub, Claude Code certification support
Collaborative culture that rewards ownership, curiosity, and continuous learning
Full-time W2 model.
Base $150k- 170k. Final offer reflects experience, skills, and market data.
Health, vision, dental, disability, and life insurance; 401(k) plan; unlimited vacation.
About Provectus:
Provectus is an AWS Premier Partner and an Anthropic Strategic Partner working at the front edge of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable outcomes through bespoke applications, managed services, and advisory work. We focus on Financial Services & Insurance and Healthcare & Life Sciences, with offices across North America, LATAM, and EMEA.
Hiring Process:
30-45-minute call with the Head of Talent Acquisition
30-minute call with the Head of People Operations
On-site meeting with the CEO
УдалённоRemote, USA
seniorSweden (Remote)
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London, United Kingdom; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
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