Location: San Jose, California, United States
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About the Opportunity
Building machine learning systems for risk at a global crypto exchange is fundamentally different from conventional ML engineering. The data spans on-chain activity, fiat deposits and withdrawals, trading behaviour, account access patterns, device intelligence, identity information, and customer interactions—signals that very few organizations can analyze together.
The problems are complex, adversarial, and constantly evolving. Models must identify emerging fraud patterns, scams, account takeovers, payment abuse, and other forms of financial risk while minimizing disruption to legitimate customers. Success is not measured only through offline model
metrics. It is measured through prevented losses, improved approval rates, reduced false positives, faster investigations, and more reliable customer experience.
This role sits within a multidisciplinary risk team of machine learning engineers, data scientists, risk strategy specialists, analytics engineers, product managers, and operations teams. You will work across the full ML lifecycle — from problem formulation, feature engineering, and model development to real-time deployment, monitoring, experimentation, and continuous iteration.
You will also help shape how AI is used across the risk organization. LLM-assisted development, automated model workflows, AI-powered investigations, and intelligent review agents are part of the team’s daily work. We are looking for engineers who already use these tools effectively and can help establish safe, scalable, and production-ready AI practices.
What You’ll Be Doing
We’re looking for a Machine Learning Engineer to build models and AI tools that help detect fraud and protect users at a global crypto exchange. You’ll apply deep learning and XGBoost, develop practical AI agents, and use AI coding tools in your daily work.
Build, evaluate, and deploy machine learning models for fraud and risk detection.
Improve data quality, features, and model performance, balancing fraud detection with customer experience.
Develop AI agents to support investigations, summarize cases, retrieve evidence, and automate routine workflows.
Use AI coding tools to accelerate development, testing, and debugging while reviewing and validating their output.
Work with engineering, product, and risk teams to deploy solutions and monitor their impact.
What We Look For In You
A strong foundation in machine learning, with hands-on experience in deep learning and tree-based models such as XGBoost or LightGBM.
Strong Python skills and experience training, evaluating, and deploying models.
Some practical experience building AI agents or LLM applications, including tool calling, retrieval, or workflow automation. Prototypes and personal projects are welcome.
Regular use of AI coding tools, with the ability to understand, test, and improve generated code.
Familiarity with databases and data pipelines for preparing training data and supporting ML workflows.
Good problem-solving, communication, and collaboration skills.
Nice to Haves
Experience in account takeover (ATO), scam detection, or other fraud and risk use cases.
Experience with LLM training, fine-tuning, evaluation, and alignment.
Experience with reinforcement learning algorithms and their practical implementation.
Experience with real-time ML systems, imbalanced datasets, or model explainability.
Prior fraud or risk experience is helpful
Fluency in Mandarin
Perks & Benefits
Competitive total compensation package
L&D programs for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX
Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The salary range for this position is $214,666 to $321,999
The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site.
#LI-SK1 #LI-HYBRID
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Egypt
ABOUT CINCOM
Cincom builds and supports enterprise software used by organisations across EMEA, with three main product lines: CPQ, Eloquence (customer communications management) and Smalltalk. Our customers run our products on their own infrastructure and, increasingly, hosted and managed by Cincom in the cloud. We are reorganising engineering, delivery and support so customers get one consistent, well-run service whatever they buy and however it is deployed.
PURPOSE OF THE ROLE
You will run Cincom’s hosted customer estate day to day, making sure every hosted customer gets a secure, reliable and cost-controlled service. You will manage our cloud services for those customers, build and configure their environments to our reference designs, and work closely with our Kubernetes Engineer, who will move into your team once the structure is finalised.
Hosted Services is part of our new Support function, which is building a professional 24/7 service across all our products. You will work closely with the Principal Infrastructure Architect, who owns the reference designs and sizing, and with the product DevOps teams.
KEY RESPONSIBILITIES
Run the hosted estate
Own the day-to-day operation of hosted customer environments: patching, backups, monitoring, capacity and change.
Act as the senior escalation point for hosting incidents, and drive them to resolution with the product teams where needed.
Run disaster recovery tests on schedule and fix what they find.
Keep runbooks and operational documentation current.
Cloud services and cost
Manage our cloud subscriptions and services for hosted customers, mainly Azure.
Track and control cloud spend for each customer, and flag cost or capacity issues early.
Manage reserved capacity, renewals and cloud provider support cases, working with the Principal Infrastructure Architect and Finance on commercial decisions.
Build and configure
Build and configure new customer environments to approved reference architectures, using infrastructure as code.
Work with the Kubernetes Engineer to run and improve our container platform.
Set up test environments, and support the Principal Infrastructure Architect and product teams in performance-testing configurations for hosted and on-premise deployments.
Customers
Be the technical contact for hosted customers on their environment, availability and service levels.
Report on availability, incidents and performance against hosting service levels.
Onboard new hosted customers smoothly, working with Delivery and Client Success.
Lead and improve
Lead and develop the Kubernetes Engineer once the Hosted Services structure is finalised. Until then, the Kubernetes Engineer sits in the Eloquence product engineering team and you will work closely with them.
Automate repetitive work, and improve monitoring and alerting.
Provide evidence and controls for ISO 27001 and SOC 2 certification, working with our process and compliance lead.
Requirements
Essential
Several years running production customer environments in Azure, at a software vendor or managed service provider (AZ-104 or equivalent level).
Hands-on infrastructure as code, using Terraform, Bicep or similar.
Working experience with Kubernetes and containers, ideally Azure Kubernetes Service.
Strong Windows and Linux server administration, plus relational databases (for example SQL Server, Oracle or PostgreSQL).
Backup, disaster recovery and monitoring tooling in practice, not just in theory.
Comfortable talking to customers about their service, and calm under incident pressure.
Able to work effectively as part of a remote team spread across time zones.
Desirable
Experience of performance or load testing tools.
Cloud cost management or FinOps experience.
Experience in an ITIL-based support organisation, and in ISO 27001 or SOC 2 environments.
Some experience leading or mentoring an engineer.
WHAT SUCCESS LOOKS LIKE IN THE FIRST 12 MONTHS
Hosting service levels met and reported to every hosted customer.
Patching and backups on schedule across the estate, with disaster recovery tested and documented.
Cloud spend known for each customer, with no surprises.
New customer environments built through infrastructure as code, to reference designs.
Fewer repeat incidents, and runbooks the wider Support team can use.
Benefits
Independent Contractor (Contractor is responsible for applicable taxes and statutory obligations, subject to the agreement and local law)
Full-time role
Availability for occasional short travels
Payment in USD
Equipment provided by the company
Contractor fee range - $2,500–$3,500 USD per month
Equal Opportunity Employer
PartnerOne is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.
AI Use Disclosure
During our recruitment process, we may use technology, including AI-assisted tools, to support application review or scheduling. These tools support our recruiting team and do not replace human decision-making. Where required, candidates will receive additional information about the tool and applicable rights.
This job posting is for an existing vacancy.
Location: Egypt
ABOUT CINCOM
Cincom builds and supports enterprise software used by organisations globally, with three main product lines CPQ, Eloquence and Smalltalk. Our customers run our products on their own provided infrastructure and, increasingly, hosted and managed by Cincom in the cloud. We are reorganising engineering, delivery and support so customers get one consistent, well-run service whatever they buy and however it is deployed.
PURPOSE OF THE ROLE
Our product engineering teams own how our software is built. We need one owner who works with the product teams to determine what it runs on, specifically, the infrastructure and deployment design for every product, whether Cincom hosts it in the cloud or the customer runs it on their own hardware.
When a customer or colleague asks what hardware or cloud capacity a deployment needs for a given volume, how it should be laid out, or what it will cost to run, the Principal Infrastructure Architect provides the answer or options and stands behind it.
This is a hands-on role: you will design configurations, build them, test them with the product teams, and get into the detail when things go wrong.
HOW THE ROLE WORKS
A few points to be clear on:
You own infrastructure and deployment design, not software design. Application architecture stays with the individual product engineering teams; you work with them to understand how each product behaves under load and what it needs from the infrastructure.
You cover both Cincom-hosted and customer on-premise deployments. Hosting operations (patching, backups, monitoring, incidents) sit in Support with the Hosting Engineers, who build to your designs.
You set the direction for our cloud infrastructure and its commercials. Day-to-day subscription and cost management sits with the Hosting Engineers; you own the strategy, the provider relationship and the cost model behind our hosted pricing.
You work alongside our Principal AI Architect on the infrastructure our AI services need, including hardware for models we host locally as well as cloud capacity.
You support Sales, Pre-Sales and Client Success on key deals and accounts, so customers get one credible answer from Cincom on how to deploy and size our products.
You will create and maintain a standard, simple to use, sizing guide/calculator, to be used for all “standard” deployment requests
KEY RESPONSIBILITIES
Infrastructure and deployment design
Define and maintain reference deployment designs for each product, for cloud-hosted and on-premise: including servers/VMs, storage, networking, virtualisation, containers and databases.
Design for availability and resilience: high availability, load balancing, failover and disaster recovery.
Review and sign off infrastructure design for each customer deployment and any significant change to it.
Own the design of our Kubernetes and container platform and decide where containerised deployment fits and where it does not.
Sizing and performance
Build and own an infrastructure sizing model for each product, starting with Eloquence and CPQ, that turns customer volumes and workload mix, online, batch and on-demand use for Eloquence and Model execution, quotation production and Analytics for CPQ, into the hardware or cloud capacity needed.
Own repeatable performance tests of deployment configurations with each product team and use the results to validate and improve the sizing models.
Turn the models into clear sizing guidance that Sales, Delivery and customers can use with confidence.
Investigate infrastructure-related performance problems in live customer environments when escalated.
Cloud infrastructure and commercials
Set our cloud infrastructure strategy, with Azure as today’s primary platform and managing any migration from Enavate hosting to Azure
Own the relationship with our cloud providers and lead negotiations on commitments and reserved capacity with key stakeholders.
Build the cost-to-serve model for hosted customers, so we price hosting and volume-based licensing on real numbers.
Specify hardware and capacity for any infrastructure Cincom runs itself, including for locally hosted AI models.
Customers and pre-sales
Act as the senior voice with key customers and prospects on infrastructure, sizing, resilience and deployment choices.
Support RFIs, RFPs and security questionnaires with accurate, reusable infrastructure content.
Process and compliance
Work with our process and compliance lead so our infrastructure and deployment designs support ISO 27001 and SOC 2 certification in 2027 and our obligations under the EU Cyber Resilience Act.
Help build the Drata knowledge base for responses to compliance and security questionnaires
Requirements
Essential
Senior infrastructure architecture experience at an enterprise software vendor, managed service provider or large IT organisation, covering both on-premise and cloud.
A proven record of sizing and performance-testing infrastructure for enterprise applications, including capacity modelling from real workload data.
Deep knowledge of servers, storage, networking and virtualisation (for example VMware or Hyper-V), and of database infrastructure.
Strong Azure infrastructure experience (AZ-305 or equivalent level), with working knowledge of AWS.
Hands-on experience with containers, Kubernetes and infrastructure as code.
A solid grasp of cloud commercials: reserved capacity, commitments, cost management and FinOps practice.
The confidence to give customers and senior colleagues a clear answer, and the judgement to know when the honest answer is “we need to test that”.
English fluency
Desirable
Experience sizing infrastructure for high-volume batch and document-processing workloads.
Experience of GPU and other infrastructure for AI workloads, including locally hosted models.
Experience of ISO 27001 or SOC 2 environments.
Experience working remotely across countries, languages and time zones.
WHAT SUCCESS LOOKS LIKE IN THE FIRST 12 MONTHS
A validated infrastructure sizing model for Eloquence in use by Sales and Delivery, with CPQ and Smalltalk following.
Signed-off reference deployment designs for each product, for hosted and on-premise.
A repeatable performance-test approach for deployment configurations, running with each product team.
Cost-to-serve known for every hosted customer, feeding hosting and licence pricing.
Disaster recovery designs tested for hosted customers, with the results documented.
Fewer escalations caused by under- or over-sized deployments.
Benefits
Independent Contractor (Contractor is responsible for applicable taxes and statutory obligations, subject to the agreement and local law)
Full-time role
Availability for occasional short travels
Payment in USD
Equipment provided by the company
Contractor fee range - $3,500–$4,300 USD per month
Equal Opportunity Employer
PartnerOne is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.
AI Use Disclosure
During our recruitment process, we may use technology, including AI-assisted tools, to support application review or scheduling. These tools support our recruiting team and do not replace human decision-making. Where required, candidates will receive additional information about the tool and applicable rights.
This job posting is for an existing vacancy.
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.
The Opportunity:
Product Marketing at Grafana Labs lives in the Product org, not the Marketing org, and we think differently about the job. As Grafana's offering shifts from dashboards to observability agents, our team closes the gap between what our products can do and how customers understand that value. We build clear, consistent positioning, run marketing campaigns that attract new customers, and create content that helps engineering teams see why Grafana Cloud is the right choice for them.
Rather than only executing launches and campaigns, we teach Grafana’s product managers and engineers how to think about growth and demand. We also codify product marketing knowledge into AI-forward tools and processes that anyone at Grafana can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks.
The Operations Manager keeps the Product Marketing
system
running and makes it better. You'll track how our work performs and report on it to the team every week, experiment with new AI workflows, and maintain the collateral and tools the team and the field depend on, so the sales team is fully supported in positioning our products. You'll work closely with the team's software engineers: you test ideas like sales deck generators or tools for competitive analysis, script prototypes, and define what good output looks like, and they turn the best ideas into production tools. You'll also coordinate with the field, Enablement, and Marketing so we understand each other's goals and make progress on shared initiatives.
For this role you don't need to be a product marketer but you should have experience working inside a Product or Marketing organization for a software company. Since we don’t have an operations manager yet, you’ll also help to shape your own role. You should arrive with a desire to find and solve imperfectly-defined problems.
What You'll Be Doing:
Projects and Cross-Functional Initiatives
: Drive cross-functional initiatives that align with product marketing strategies across GTM, Product, and Marketing teams. Own follow-ups, task tracking, and on-time completion.
Cross-Team Coordination
: Coordinate with the field, Enablement, and Marketing teams so we understand each other's goals and priorities. Track shared initiatives, and coordinate enablement activities with the Enablement team.
Analytics and Reporting
: Track the product marketing team's key metrics, such as how our content, enablement sessions, and launches perform and who uses them. Interpret and report on them to the team every week.
AI Experimentation and Prototyping
: Try out new AI workflows and tools, using AI to write scripts and checking that they work. Decide what good output looks like and codify that judgment in evaluations, working alongside the software engineers on our team as they refine and deploy tools. Hand the most promising prototypes to engineers to make production-ready. For example, you might test a deck generator with sellers, write evals for it, and communicate about it internally.
Collateral Management
: Maintain the team's most important collateral, including core decks, positioning content, and enablement sessions. Keep it accurate and current, share it widely, and make sure sellers know where to find it and how to use it.
Knowledge Base Stewardship
: Help keep our shared product knowledge base complete and current. Spot missing or stale information, chase down the owners, and improve the processes that keep it up to date.
What Makes You a Great Fit:
2+ years in an operations, analytics, enablement, or technical support role within a Product or Marketing organization for a software company.
Strong analytical judgment: you use AI and other tools to pull data, check the results instead of taking them at face value, and turn the numbers into clear recommendations
Proficiency with AI agents, including building skills and automated workflows that more than one person uses
Good judgment about what makes AI output good, and the ability to codify that judgment in evaluations
Ability to quickly understand our products and describe their value: what SREs and platform engineers do, and how observability products help them
Ability to build dashboards and pages in Grafana, or to learn quickly
Strong project management and organizational skills
Excellent verbal and written communication skills, including presenting data to a team
Bonus Points For:
Strong bias to action: you build, test, and ship instead of waiting for permission
Able to manage multiple projects and priorities at once
Adaptable, flexible, and comfortable in a fast-paced environment
High emotional intelligence and strong interpersonal skills
Our team knows its goals and can see its progress toward them
More people outside the team use our AI tools and collateral
Collaboration with the field, Enablement, Marketing, and other partner teams runs more smoothly, leading to better working relationships and more impact across the org
Compensation & Rewards:
In the UK, the base compensation range for this role is GBP 74,342 - 89,210. 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: 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.
The Opportunity:
Product Marketing at Grafana Labs lives in the Product org, not the Marketing org, and we think differently about the job. As Grafana's offering shifts from dashboards to observability agents, our team closes the gap between what our products can do and how customers understand that value. We build clear, consistent positioning, run marketing campaigns that attract new customers, and create content that helps engineering teams see why Grafana Cloud is the right choice for them.
Rather than only executing launches and campaigns, we teach Grafana’s product managers and engineers how to think about growth and demand. We also codify product marketing knowledge into AI-forward tools and processes that anyone at Grafana can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks.
The Operations Manager keeps the Product Marketing
system
running and makes it better. You'll track how our work performs and report on it to the team every week, experiment with new AI workflows, and maintain the collateral and tools the team and the field depend on, so the sales team is fully supported in positioning our products. You'll work closely with the team's software engineers: you test ideas like sales deck generators or tools for competitive analysis, script prototypes, and define what good output looks like, and they turn the best ideas into production tools. You'll also coordinate with the field, Enablement, and Marketing so we understand each other's goals and make progress on shared initiatives.
For this role you don't need to be a product marketer but you should have experience working inside a Product or Marketing organization for a software company. Since we don’t have an operations manager yet, you’ll also help to shape your own role. You should arrive with a desire to find and solve imperfectly-defined problems.
What You'll Be Doing:
Projects and Cross-Functional Initiatives
: Drive cross-functional initiatives that align with product marketing strategies across GTM, Product, and Marketing teams. Own follow-ups, task tracking, and on-time completion.
Cross-Team Coordination
: Coordinate with the field, Enablement, and Marketing teams so we understand each other's goals and priorities. Track shared initiatives, and coordinate enablement activities with the Enablement team.
Analytics and Reporting
: Track the product marketing team's key metrics, such as how our content, enablement sessions, and launches perform and who uses them. Interpret and report on them to the team every week.
AI Experimentation and Prototyping
: Try out new AI workflows and tools, using AI to write scripts and checking that they work. Decide what good output looks like and codify that judgment in evaluations, working alongside the software engineers on our team as they refine and deploy tools. Hand the most promising prototypes to engineers to make production-ready. For example, you might test a deck generator with sellers, write evals for it, and communicate about it internally.
Collateral Management
: Maintain the team's most important collateral, including core decks, positioning content, and enablement sessions. Keep it accurate and current, share it widely, and make sure sellers know where to find it and how to use it.
Knowledge Base Stewardship
: Help keep our shared product knowledge base complete and current. Spot missing or stale information, chase down the owners, and improve the processes that keep it up to date.
What Makes You a Great Fit:
2+ years in an operations, analytics, enablement, or technical support role within a Product or Marketing organization for a software company.
Strong analytical judgment: you use AI and other tools to pull data, check the results instead of taking them at face value, and turn the numbers into clear recommendations
Proficiency with AI agents, including building skills and automated workflows that more than one person uses
Good judgment about what makes AI output good, and the ability to codify that judgment in evaluations
Ability to quickly understand our products and describe their value: what SREs and platform engineers do, and how observability products help them
Ability to build dashboards and pages in Grafana, or to learn quickly
Strong project management and organizational skills
Excellent verbal and written communication skills, including presenting data to a team
Bonus Points For:
Strong bias to action: you build, test, and ship instead of waiting for permission
Able to manage multiple projects and priorities at once
Adaptable, flexible, and comfortable in a fast-paced environment
High emotional intelligence and strong interpersonal skills
Our team knows its goals and can see its progress toward them
More people outside the team use our AI tools and collateral
Collaboration with the field, Enablement, Marketing, and other partner teams runs more smoothly, leading to better working relationships and more impact across the org
Compensation & Rewards:
In Sweden, the base compensation range for this role is SEK 640,484 - SEK 768,580. 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.
The Opportunity:
Product Marketing at Grafana Labs lives in the Product org, not the Marketing org, and we think differently about the job. As Grafana's offering shifts from dashboards to observability agents, our team closes the gap between what our products can do and how customers understand that value. We build clear, consistent positioning, run marketing campaigns that attract new customers, and create content that helps engineering teams see why Grafana Cloud is the right choice for them.
Rather than only executing launches and campaigns, we teach Grafana’s product managers and engineers how to think about growth and demand. We also codify product marketing knowledge into AI-forward tools and processes that anyone at Grafana can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks.
The Operations Manager keeps the Product Marketing
system
running and makes it better. You'll track how our work performs and report on it to the team every week, experiment with new AI workflows, and maintain the collateral and tools the team and the field depend on, so the sales team is fully supported in positioning our products. You'll work closely with the team's software engineers: you test ideas like sales deck generators or tools for competitive analysis, script prototypes, and define what good output looks like, and they turn the best ideas into production tools. You'll also coordinate with the field, Enablement, and Marketing so we understand each other's goals and make progress on shared initiatives.
For this role you don't need to be a product marketer but you should have experience working inside a Product or Marketing organization for a software company. Since we don’t have an operations manager yet, you’ll also help to shape your own role. You should arrive with a desire to find and solve imperfectly-defined problems.
What You'll Be Doing:
Projects and Cross-Functional Initiatives
: Drive cross-functional initiatives that align with product marketing strategies across GTM, Product, and Marketing teams. Own follow-ups, task tracking, and on-time completion.
Cross-Team Coordination
: Coordinate with the field, Enablement, and Marketing teams so we understand each other's goals and priorities. Track shared initiatives, and coordinate enablement activities with the Enablement team.
Analytics and Reporting
: Track the product marketing team's key metrics, such as how our content, enablement sessions, and launches perform and who uses them. Interpret and report on them to the team every week.
AI Experimentation and Prototyping
: Try out new AI workflows and tools, using AI to write scripts and checking that they work. Decide what good output looks like and codify that judgment in evaluations, working alongside the software engineers on our team as they refine and deploy tools. Hand the most promising prototypes to engineers to make production-ready. For example, you might test a deck generator with sellers, write evals for it, and communicate about it internally.
Collateral Management
: Maintain the team's most important collateral, including core decks, positioning content, and enablement sessions. Keep it accurate and current, share it widely, and make sure sellers know where to find it and how to use it.
Knowledge Base Stewardship
: Help keep our shared product knowledge base complete and current. Spot missing or stale information, chase down the owners, and improve the processes that keep it up to date.
What Makes You a Great Fit:
2+ years in an operations, analytics, enablement, or technical support role within a Product or Marketing organization for a software company.
Strong analytical judgment: you use AI and other tools to pull data, check the results instead of taking them at face value, and turn the numbers into clear recommendations
Proficiency with AI agents, including building skills and automated workflows that more than one person uses
Good judgment about what makes AI output good, and the ability to codify that judgment in evaluations
Ability to quickly understand our products and describe their value: what SREs and platform engineers do, and how observability products help them
Ability to build dashboards and pages in Grafana, or to learn quickly
Strong project management and organizational skills
Excellent verbal and written communication skills, including presenting data to a team
Bonus Points For:
Strong bias to action: you build, test, and ship instead of waiting for permission
Able to manage multiple projects and priorities at once
Adaptable, flexible, and comfortable in a fast-paced environment
High emotional intelligence and strong interpersonal skills
Our team knows its goals and can see its progress toward them
More people outside the team use our AI tools and collateral
Collaboration with the field, Enablement, Marketing, and other partner teams runs more smoothly, leading to better working relationships and more impact across the org
Compensation & Rewards:
In Spain, the base compensation range for this role is EUR 67,238 - EUR 80,686. 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.
The Opportunity:
Product Marketing at Grafana Labs lives in the Product org, not the Marketing org, and we think differently about the job. As Grafana's offering shifts from dashboards to observability agents, our team closes the gap between what our products can do and how customers understand that value. We build clear, consistent positioning, run marketing campaigns that attract new customers, and create content that helps engineering teams see why Grafana Cloud is the right choice for them.
Rather than only executing launches and campaigns, we teach Grafana’s product managers and engineers how to think about growth and demand. We also codify product marketing knowledge into AI-forward tools and processes that anyone at Grafana can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks.
The Operations Manager keeps the Product Marketing
system
running and makes it better. You'll track how our work performs and report on it to the team every week, experiment with new AI workflows, and maintain the collateral and tools the team and the field depend on, so the sales team is fully supported in positioning our products. You'll work closely with the team's software engineers: you test ideas like sales deck generators or tools for competitive analysis, script prototypes, and define what good output looks like, and they turn the best ideas into production tools. You'll also coordinate with the field, Enablement, and Marketing so we understand each other's goals and make progress on shared initiatives.
For this role you don't need to be a product marketer but you should have experience working inside a Product or Marketing organization for a software company. Since we don’t have an operations manager yet, you’ll also help to shape your own role. You should arrive with a desire to find and solve imperfectly-defined problems.
What You'll Be Doing:
Projects and Cross-Functional Initiatives
: Drive cross-functional initiatives that align with product marketing strategies across GTM, Product, and Marketing teams. Own follow-ups, task tracking, and on-time completion.
Cross-Team Coordination
: Coordinate with the field, Enablement, and Marketing teams so we understand each other's goals and priorities. Track shared initiatives, and coordinate enablement activities with the Enablement team.
Analytics and Reporting
: Track the product marketing team's key metrics, such as how our content, enablement sessions, and launches perform and who uses them. Interpret and report on them to the team every week.
AI Experimentation and Prototyping
: Try out new AI workflows and tools, using AI to write scripts and checking that they work. Decide what good output looks like and codify that judgment in evaluations, working alongside the software engineers on our team as they refine and deploy tools. Hand the most promising prototypes to engineers to make production-ready. For example, you might test a deck generator with sellers, write evals for it, and communicate about it internally.
Collateral Management
: Maintain the team's most important collateral, including core decks, positioning content, and enablement sessions. Keep it accurate and current, share it widely, and make sure sellers know where to find it and how to use it.
Knowledge Base Stewardship
: Help keep our shared product knowledge base complete and current. Spot missing or stale information, chase down the owners, and improve the processes that keep it up to date.
What Makes You a Great Fit:
2+ years in an operations, analytics, enablement, or technical support role within a Product or Marketing organization for a software company.
Strong analytical judgment: you use AI and other tools to pull data, check the results instead of taking them at face value, and turn the numbers into clear recommendations
Proficiency with AI agents, including building skills and automated workflows that more than one person uses
Good judgment about what makes AI output good, and the ability to codify that judgment in evaluations
Ability to quickly understand our products and describe their value: what SREs and platform engineers do, and how observability products help them
Ability to build dashboards and pages in Grafana, or to learn quickly
Strong project management and organizational skills
Excellent verbal and written communication skills, including presenting data to a team
Bonus Points For:
Strong bias to action: you build, test, and ship instead of waiting for permission
Able to manage multiple projects and priorities at once
Adaptable, flexible, and comfortable in a fast-paced environment
High emotional intelligence and strong interpersonal skills
Our team knows its goals and can see its progress toward them
More people outside the team use our AI tools and collateral
Collaboration with the field, Enablement, Marketing, and other partner teams runs more smoothly, leading to better working relationships and more impact across the org
Compensation & Rewards:
In Ireland, the base compensation range for this role is EUR 84,048 - EUR 100,858. 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: 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.
The Opportunity:
Product Marketing at Grafana Labs lives in the Product org, not the Marketing org, and we think differently about the job. As Grafana's offering shifts from dashboards to observability agents, our team closes the gap between what our products can do and how customers understand that value. We build clear, consistent positioning, run marketing campaigns that attract new customers, and create content that helps engineering teams see why Grafana Cloud is the right choice for them.
Rather than only executing launches and campaigns, we teach Grafana’s product managers and engineers how to think about growth and demand. We also codify product marketing knowledge into AI-forward tools and processes that anyone at Grafana can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks.
The Operations Manager keeps the Product Marketing
system
running and makes it better. You'll track how our work performs and report on it to the team every week, experiment with new AI workflows, and maintain the collateral and tools the team and the field depend on, so the sales team is fully supported in positioning our products. You'll work closely with the team's software engineers: you test ideas like sales deck generators or tools for competitive analysis, script prototypes, and define what good output looks like, and they turn the best ideas into production tools. You'll also coordinate with the field, Enablement, and Marketing so we understand each other's goals and make progress on shared initiatives.
For this role you don't need to be a product marketer but you should have experience working inside a Product or Marketing organization for a software company. Since we don’t have an operations manager yet, you’ll also help to shape your own role. You should arrive with a desire to find and solve imperfectly-defined problems.
What You'll Be Doing:
Projects and Cross-Functional Initiatives
: Drive cross-functional initiatives that align with product marketing strategies across GTM, Product, and Marketing teams. Own follow-ups, task tracking, and on-time completion.
Cross-Team Coordination
: Coordinate with the field, Enablement, and Marketing teams so we understand each other's goals and priorities. Track shared initiatives, and coordinate enablement activities with the Enablement team.
Analytics and Reporting
: Track the product marketing team's key metrics, such as how our content, enablement sessions, and launches perform and who uses them. Interpret and report on them to the team every week.
AI Experimentation and Prototyping
: Try out new AI workflows and tools, using AI to write scripts and checking that they work. Decide what good output looks like and codify that judgment in evaluations, working alongside the software engineers on our team as they refine and deploy tools. Hand the most promising prototypes to engineers to make production-ready. For example, you might test a deck generator with sellers, write evals for it, and communicate about it internally.
Collateral Management
: Maintain the team's most important collateral, including core decks, positioning content, and enablement sessions. Keep it accurate and current, share it widely, and make sure sellers know where to find it and how to use it.
Knowledge Base Stewardship
: Help keep our shared product knowledge base complete and current. Spot missing or stale information, chase down the owners, and improve the processes that keep it up to date.
What Makes You a Great Fit:
2+ years in an operations, analytics, enablement, or technical support role within a Product or Marketing organization for a software company.
Strong analytical judgment: you use AI and other tools to pull data, check the results instead of taking them at face value, and turn the numbers into clear recommendations
Proficiency with AI agents, including building skills and automated workflows that more than one person uses
Good judgment about what makes AI output good, and the ability to codify that judgment in evaluations
Ability to quickly understand our products and describe their value: what SREs and platform engineers do, and how observability products help them
Ability to build dashboards and pages in Grafana, or to learn quickly
Strong project management and organizational skills
Excellent verbal and written communication skills, including presenting data to a team
Bonus Points For:
Strong bias to action: you build, test, and ship instead of waiting for permission
Able to manage multiple projects and priorities at once
Adaptable, flexible, and comfortable in a fast-paced environment
High emotional intelligence and strong interpersonal skills
Our team knows its goals and can see its progress toward them
More people outside the team use our AI tools and collateral
Collaboration with the field, Enablement, Marketing, and other partner teams runs more smoothly, leading to better working relationships and more impact across the org
Compensation & Rewards:
In Germany, the base compensation range for this role is EUR 78,336 - EUR 94,003. 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: Santo Domingo, Dominican Republic
Workplace: hybrid
About Aleph
Aleph is a global leader accelerating digital advertising, and fintech solutions across more than 130 high-growth markets. With more than 20 years of experience and strategic partnerships with over 50 of the world's leading digital platforms, Aleph connects media, payments, and local market expertise to enable platforms and businesses to grow and operate globally with speed and compliance. With teams in more than 90 offices worldwide, Aleph combines global scale with deep local execution. Beyond business impact, Aleph drives digital inclusion through its education initiative, Digital Ad Expert, member of UNESCO’s Global Skills Academy.
As Client Solutions Lead for TikTok (the kind of role often called account manager or client success lead in digital advertising), you will join our Client Solutions team in Santo Domingo. The team is responsible for campaign execution and success, working closely with the Client Partner team to deliver first-class service to clients.
You will work with top agencies and brands across Latam, educating and informing them about the exciting evolution of TikTok’s advertising platform and about Aleph. In partnership with the Client Partner, and in collaboration with the Brand Strategist, you will ensure the successful design and delivery of all assigned campaign strategies, including original content, custom-built, high-impact and targeted media.
What You Will Do
Take part in strategic planning with Sales to grow existing business and generate new business opportunities.
Act as a trusted consultant for top key accounts.
Be the point of contact (POC) for clients, delivering campaign management and reporting on time, and share actionable insights with clients and Sales through quantitative and qualitative analysis of campaign performance drivers (products, budget, costs and creative efficiency metrics against defined KPIs) and delivery.
Ensure SLAs are respected so that Aleph is first class in client service.
On the performance side, optimize accounts to increase spend; on the reservation side, manage the project through to success.
Drive education on products and company updates, and share best practices relevant to clients’ and agencies’ business.
Work with a diverse group of internal cross-functional teams to identify, create and implement creative ad solutions grounded in measurable business results for client partners.
Serve as the go-to contact for the Sales team.
Help educate clients and agencies on product solutions and best practices, and help the team manage relationships with key clients and agency partners (media, creative and marketing partners) to grow existing business.
Maximize ROI for brand campaigns through optimization and upsell recommendations supported by client-facing reports.
Manage large customer relationships, work through conflict and guide groups towards collective business decisions.
Provide feedback to product and tools teams to help us scale our advertising platform.
Organize and manage account information, assets, data and reports.
Keep accurate records of all pending and active campaign plans, and help maintain the campaign schedule and the availability of ad placements.
Work with the product and campaign execution teams to ensure ad specifications and rates are accurate, and take responsibility for campaign reporting and optimization.
What We Are Looking For
At least 3 years of experience in client relationship management and digital media (account management, client services or campaign management).
Bachelor’s degree in Advertising, Marketing, Business or Technology.
Deep understanding of the digital landscape and a passion for social media.
Strong familiarity with online media planning, design and art control (creative review) of advertising pieces.
Experience managing campaigns across digital platforms and ad tech products.
Strong communication and people skills, with experience working directly with clients.
Detail-oriented, with exceptional organizational skills.
Aptitude, creativity and a preference for working in collaborative teams and across business units.
Strong time management and problem-solving skills.
Ability to multitask under challenging deadlines while staying focused on detail.
Fluent in English and Spanish (bilingual).
Why Join Aleph
Impact:
You will work on TikTok campaigns for top agencies and brands across Latam, with a direct line between your work and measurable client results.
Growth:
We provide internal talent with growth opportunities and the chance to learn together as Aleph expands across 130+ markets.
Team culture:
Aleph is a place of many cultures, perspectives and talents. We support each other, and we value partnership and communication because great things take a group of people.
Market context:
Social video is reshaping how brands reach audiences in the Dominican Republic and across Latam. You will help shape that from inside a global platform partner.
Flexibility:
This is a permanent role with a hybrid arrangement, in a team that stays flexible and moves with the speed of change.
Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, and our curiosity keeps us learning and seeking out new opportunities.
We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.
We use Lever, our recruitment management platform, which includes AI-powered features that may assist our hiring team in reviewing applications, analyzing CVs, and identifying relevant qualifications. These tools support, but do not replace, human judgement. All hiring decisions are made by people. For more information about how your personal data is processed, including your rights in relation to AI-assisted processing, please see our Candidate Privacy Policy or contact us at privacy@alephdigital.com.
“Share our similarities, celebrate our differences.” – M. Scott Peck
#ALEPH
Location: Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
The Compliance function at OKX is responsible for the overall compliance culture at the company. We're a team of risk-minded problem solvers who advise the business on the company's regulatory obligations and enterprise risk.
The successful candidate will have prior AML transaction monitoring and investigations experience in the financial services, FinTech or cryptocurrency industries. You will help detect unusual activity, suspicious/illegal behaviors and patterns, as well as assist in projects focused on preventing and detecting financial crimes.
As part of the AML Investigations team, you will be responsible for conducting a variety of tasks such as investigations, conducting enhanced due diligence, preparing narrative information for SAR filings, and participating in ad-hoc projects as needed. You will utilize internal and external investigative resources and apply logical research techniques.
What You’ll Be Doing
Conduct thorough investigations on users' account activities as a result of transaction monitoring alerts.
Where appropriate, collaborate cross-functionally in the investigation of transaction monitoring cases.
Make determinations and recommend escalation decisions on cases investigated.
Prepare SAR materials and draft SAR narratives.
Conduct research using internal and external sources to help determine potentially suspicious activity and disposition of adverse news
Create, update and maintain files and records related to all supporting information used during investigation.
Assist with ad hoc projects incl. QA alert dispositions, validation of the transaction monitoring system or any updates, training, etc.
What We Look For In You
3+ years experience in conducting AML-related account activity analysis, due diligence, and investigations in a financial services institution.
Strong writing, analytical and communications skills. Must be able to execute tasks within tight deadlines.
Strong interpersonal skills are necessary to work effectively with colleagues across regions and business units
Should be a self-starter, organized, detail oriented, and results driven
Excellent command of spoken and written English is required.
Nice-To-Haves
Prior experience working in a multi-national or matrix environment.
Knowledge with AML/CFT/Sanctions, money transmission regulations, and industry best practices.
Familiarity with commonly used transaction monitoring & reporting tool(s), such as Chainalysis.
Relevant industry certifications, e.g. CAMS.
Cryptocurrency experience is a plus.
Perks and Benefits
Competitive total compensation package.
Learning and development programs, and education subsidies for employees' growth and development.
Team building programs and company events.
Wellness and meal allowances.
Comprehensive healthcare schemes for employees and dependants.
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Location: San Francisco
Perplexity is looking for a technical program manager to own how we plan, bring online and run the GPU compute behind every product.
Perplexity serves Ask, Computer and API traffic on GPU capacity across multiple cloud and neocloud providers, and demand shifts with every new customer, product launch and model release. Working across engineering, research, Finance and providers, you’ll forecast how much compute we need and when, bring new capacity into production, and own how the fleet performs today, driving fixes when reliability, utilization or cost fall short. The ideal candidate knows GPU fleets, handles technical and commercial details, and is energized by building a function with little precedent.
OUR MISSION
Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
WHAT YOU’LL DO
- Partner with Finance on the compute demand forecast, 3–12 months out, driven by customer growth, model releases, and post-training and evaluation plans rather than trend lines
- Turn the forecast into decisions with Finance and engineering leadership on commitments and budget, checking that new capacity fits the plan before we commit
- Bring new capacity online and lead transitions, from contract to production, including provider onboarding, acceptance criteria, migration and decommissioning
- Build a single, trusted view of the fleet: capacity, cost, allocation, and uptime, reliability and utilization by provider and workload
- Drive daily utilization, reliability and cost-efficiency as core metrics, reclaiming idle capacity and surfacing trade-offs rather than letting them become side effects
- Own inference and compute requests end to end: triage and resolve GPU, deployment and quota requests from teams across Perplexity, and build self-serve paths so routine requests no longer need a person in the loop
- Manage compute provider relationships, with scorecards and regular reviews of reliability, support and delivery, and use that data to shape how we work with providers over time
- Partner with engineering, research, and finance teams on capacity decisions that match the different needs of training, batch inference and real-time production inference
- Build the operating system for compute: the processes and tooling to request, plan, allocate and track compute, with clear owners
QUALIFICATIONS
- 6+ years of technical program management, capacity planning or infrastructure operations in cloud environments, leading programs across teams and vendors
- Direct experience with GPU or accelerator fleets across training and inference workloads
- Experience working directly with cloud or neocloud providers on reserved capacity, capacity commitments, onboarding or vendor performance management
- Experience with infrastructure cost modeling, unit economics or cost attribution in partnership with Finance
- Technical depth in cluster management, scheduling and orchestration, and the data skills to build forecasts and dashboards yourself
- The judgment to surface hard trade-offs and communicate them clearly from engineers to executives
- Thrives in a small, agile team; has initiative and desire for ownership without much precedent to lean on
УдалённоseniorEgypt; Able to work effectively as part of a remote team spread across time zones
УдалённоEgypt; Experience working remotely across countries, languages and time zones
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
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