Location: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
Senior Backend Engineer
As a Senior Backend Engineer on our Cloud Cost and Capacity capability, you'll build the internal software that helps us understand, attribute, and plan the cloud infrastructure that runs GitLab.com. You'll turn Google Cloud billing and usage data into pipelines, attribution models, and applications that help service owners understand what they consume and spend, plan reservations, and prevent capacity shortages.
You'll be the first engineer dedicated to this capability, setting the technical direction and building the foundations a growing team will extend. You'll treat cloud cost and capacity as one roadmap, choosing the architecture, data models, and tools that let service owners manage their usage and spending.
What you'll do
Build data pipelines that turn Google Cloud billing exports and Cloud Monitoring telemetry into a clean, queryable picture of fleet usage and utilization in BigQuery.
Attribute shared cost and usage across Google Kubernetes Engine clusters to the teams and services that drive them, using foundations such as OpenCost and Google Kubernetes Engine cost allocation.
Develop capacity and demand tooling that profiles infrastructure needs by machine family and region to support reservation planning and prevent capacity shortages.
Ship internal applications that let engineers and budget owners see and act on their cloud footprint, replacing manual snapshots and spreadsheets with software.
Establish the data models, services, and engineering standards that future team members will extend, and help shape technical direction and hiring as we grow.
Partner with Finance, product teams, service owners, and infrastructure engineers to turn their needs into technical designs.
Use artificial intelligence in your daily engineering workflow to improve efficiency and outcomes, as we expect of all GitLab team members.
Take part in on-call or operational support where your team’s ownership model requires it.
What you'll bring
A track record of designing and shipping production backend services that you've owned end to end, beyond operating existing systems.
Strong structured query language (SQL) skills with large datasets, experience building and maintaining data pipelines and models, and comfort working with cloud billing and usage data.
Working knowledge of a major cloud platform, preferably Google Cloud, including compute services, Kubernetes, and pricing and billing models.
Proficiency in a general-purpose programming language for tooling and pipelines. We value your ability to build and ship over mastery of a single language; Go and Python suit this work, and we use Ruby across our product code.
The ability to break a new problem into milestones and drive it to production with light direction, communicating clearly in a remote, asynchronous environment.
Helpful, not required: OpenCost, Kubecost, or Google Kubernetes Engine cost allocation; cloud financial management (FinOps) practices or certification; cost or capacity modeling, forecasting, or anomaly detection; Terraform; Looker, Looker Studio, or Grafana; founding engineering work; or artificial intelligence in engineering workflows.
About the team
We're part of the Cloud Cost Utilization team within Infrastructure Platforms, working with Fleet Management. We partner with Finance, product teams, service owners, and infrastructure engineers as our service-ownership model matures. You'll work with us asynchronously, using clear written communication to turn our partners' needs into technical designs.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Argentina (Remote); Mexico (Remote); São Paulo, Brazil
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 Senior Product Marketing Manager for LATAM will play a critical role in shaping OKX’s go-to-market strategy, driving community-led expansion and ensuring our CeFi and Web3 product narratives resonate with users in these key regions.
This role requires a deep understanding of LATAM crypto landscapes, strong expertise in regional growth marketing, and the ability to work closely with local General Managers (GMs), product teams, and global marketing stakeholders. You will act as the voice of the customer in the region—both externally, to create awareness and adoption, and internally, to inform product and marketing strategies based on local market insights.
What You’ll Be Doing
Build and run GTM campaigns for CeFi and Web3 products across LATAM, ensuring launches are localized, compliant, and resonate with retail and institutional users.
Implement marketing activities that increase product visibility and user acquisition, including digital campaigns, partnerships, community activations, and content distribution.
Adapt global product narratives and positioning for LATAM, aligning with market behaviors, regulations, and cultural nuances.
Execute programs with key communities, KOLs, and influencers to amplify product storytelling and drive grassroots adoption.
Support regional presence through industry events, local meetups, and hackathons, ensuring OKX products are showcased effectively and generate measurable leads.
Partner closely with local GMs, BD, and global product teams to deliver consistent, high-impact marketing initiatives.
Collect and analyze user insights, competitor activities, and regional market trends to optimize campaigns and inform product teams.
Monitor campaign KPIs, adoption metrics, and feedback loops to ensure initiatives deliver against growth and awareness goals.
What We Look For In You
At least 7 years of product marketing experience
, with a significant portion in consumer tech, fintech, or the crypto industry. Direct trading experience in crypto markets is highly desirable.
Financial Markets Knowledge
: In-depth understanding of financial markets, trading principles, and investment strategies, including familiarity with various financial instruments such as stocks, bonds, cryptocurrencies, forex, commodities, and derivatives.
Digital Marketing Expertise
: Strong grasp of digital marketing, especially as it pertains to fintech and crypto, including conversion optimization, content marketing, and social media strategies.
Community Building & Engagement:
Extensive experience in building and scaling crypto-native communities, leveraging influencer networks, organizing events, and creating ambassador programs to drive organic product adoption.
Communication and Influence:
Outstanding communication skills, with the ability to influence strategy and articulate complex products to a diverse audience. Preferably trilingual in English, Spanish, and Portuguese
Market Analysis
: Demonstrated proficiency in conducting market research, competitive analysis, and trend forecasting in the digital asset space
Perks & Benefits
Competitive total compensation package
L&D programs for employees' growth and development
Various team building programs and company events
More that we love to tell you along the process!
#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: 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
We are looking for an experienced engineer to lead the architecture and hands-on development of the ML and data infrastructure behind our risk and fraud prevention systems. You will help teams move models from experimentation into reliable production services, improve model execution performance, and build scalable data foundations for training, evaluation, and real-time decisions.
What You’ll Be Doing
Improve model inference latency, throughput, resource utilization, and cost. Profile the full prediction path —from feature retrieval and preprocessing to model execution — and deliver measurable improvements without unacceptable model-quality regressions.
Build reusable infrastructure for model packaging, versioning, deployment, serving, monitoring, and rollback across cloud platforms and regions.
Design and optimize offline data pipelines on Databricks, Apache Spark, and warehouse/lakehouse technologies, addressing data modeling, partitioning, joins, shuffles, skew, incremental processing, and cost.
Connect offline and online feature pipelines, ensuring point-in-time correctness, consistent feature definitions, freshness, lineage, and reproducible backfills.
Evolve reliable feature services and data integrations supporting risk models and decision systems.
Set technical direction, mentor engineers, and lead delivery across ML, data engineering, cloud infrastructure, security, and product teams.
What We Look For In You
A record of building and operating large-scale distributed systems, ML infrastructure, or data platforms, with technical ownership across teams.
Hands-on experience optimizing production model performance, supported by measurable improvements in latency, throughput, utilization, or cost.
Deep understanding of Databricks and Spark, or comparable offline data platforms, including execution plans, distributed query optimization, storage layouts, data correctness, and workload cost management.
Experience with the model lifecycle, including training/serving integration, validation, deployment, observability, and rollback.
Strong Python, SQL, and at least one backend or systems language such as Java, Scala, Go, or C++.
Ability to turn ambiguous requirements into clear architecture and deliver maintainable systems through hands-on engineering and technical leadership.
Nice to Haves
SageMaker, Alibaba Cloud PAI/EAS, or comparable ML platforms.
Inference optimization using tools such as ONNX Runtime, TensorRT, or Triton.
Delta Lake, MLflow, feature stores, Kafka, Flink, and low-latency data stores.
Fraud detection or financial risk systems.
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: 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. 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
We are seeking a Model Risk Director focused on Fraud and AI to join OKX’s Model Risk Management (MRM) function. As a senior member of the second line of defense (2LOD), this leader will provide independent oversight and effective challenge of fraud models used to detect, prevent, and manage fraud risk across OKX’s products and customer journeys.
The role will lead end-to-end validation of fraud models, from conceptual soundness, data and implementation review to outcomes analysis, performance monitoring, and remediation follow-up. The portfolio may include supervised machine learning models, anomaly detection, graph and network analytics, rules-based or hybrid systems, and AI-enabled fraud applications.
The ideal candidate brings deep hands-on experience in fraud model validation, strong quantitative judgment, and practical experience assessing AI/ML models. This person will partner closely with Fraud, Risk, Product, Data Science, Engineering, Compliance, and Audit teams while maintaining the independence of the MRM function.
This is a hands-on, builder role: the successful candidate will independently establish the fraud model validation capability from the ground up, personally execute validations, and play a leading role in assessing AI-enabled systems.
What You’ll Be Doing
Establish and own the independent validation framework for fraud models and AI-enabled decision systems across OKX products, covering conceptual soundness, data quality, implementation, and outcomes analysis, in line with SR 26-2 and equivalent model risk frameworks.
Assess model conceptual soundness, intended use, assumptions, and limitations.
Personally execute end-to-end model validations as the technical expert, including independently reproducing results through hands-on data analysis and code review.
Assess AI/ML and generative AI applications, including LLM-based and agentic systems, for robustness, reliability, explainability, and appropriate human oversight, applying strong applied AI evaluation expertise.
Perform ongoing monitoring review and periodic revalidation to ensure sustained model performance through changing fraud patterns and business conditions.
Provide effective challenge to model owners; communicate conclusions, limitations, and risk ratings clearly to senior management and governance forums, and track remediation through closure.
Build and continuously mature the fraud model validation capability, standards, and workflows within MRM.
What We Look For In You
Master’s or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, or equivalent experience.
10+ years of quantitative, fraud risk, or model risk experience, with a recognized track record as a hands-on technical expert who personally delivers independent validations of models and decision systems.
Excellent communication and judgment, including the ability to explain quantitative findings to senior audiences and constructively challenge model owners.
Practical experience with statistical and machine learning methods; proficiency in Python and SQL; working knowledge of SR 11-7 or equivalent model risk and AI governance frameworks.
Experience with AI/ML governance and controls, including explainability, fairness, robustness, ongoing monitoring, or generative and agentic AI applications in fraud operations.
Nice to Haves
Experience establishing validation frameworks, methodologies, or capabilities in settings where they did not previously exist.
Strong applied AI capability: hands-on experience evaluating or building ML/LLM-based systems in production, including prompt engineering, evaluation harnesses, fine-tuning assessment, or agentic AI workflows; able to run red-team style testing on AI applications.
Perks &
Benefits
Competitive total compensation package
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 $200,000 - $300,000
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.
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: New York, 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. 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
We are seeking a Model Risk Director focused on Fraud and AI to join OKX’s Model Risk Management (MRM) function. As a senior member of the second line of defense (2LOD), this leader will provide independent oversight and effective challenge of fraud models used to detect, prevent, and manage fraud risk across OKX’s products and customer journeys.
The role will lead end-to-end validation of fraud models, from conceptual soundness, data and implementation review to outcomes analysis, performance monitoring, and remediation follow-up. The portfolio may include supervised machine learning models, anomaly detection, graph and network analytics, rules-based or hybrid systems, and AI-enabled fraud applications.
The ideal candidate brings deep hands-on experience in fraud model validation, strong quantitative judgment, and practical experience assessing AI/ML models. This person will partner closely with Fraud, Risk, Product, Data Science, Engineering, Compliance, and Audit teams while maintaining the independence of the MRM function.
This is a hands-on, builder role: the successful candidate will independently establish the fraud model validation capability from the ground up, personally execute validations, and play a leading role in assessing AI-enabled systems.
What You’ll Be Doing
Establish and own the independent validation framework for fraud models and AI-enabled decision systems across OKX products, covering conceptual soundness, data quality, implementation, and outcomes analysis, in line with SR 26-2 and equivalent model risk frameworks.
Assess model conceptual soundness, intended use, assumptions, and limitations.
Personally execute end-to-end model validations as the technical expert, including independently reproducing results through hands-on data analysis and code review.
Assess AI/ML and generative AI applications, including LLM-based and agentic systems, for robustness, reliability, explainability, and appropriate human oversight, applying strong applied AI evaluation expertise.
Perform ongoing monitoring review and periodic revalidation to ensure sustained model performance through changing fraud patterns and business conditions.
Provide effective challenge to model owners; communicate conclusions, limitations, and risk ratings clearly to senior management and governance forums, and track remediation through closure.
Build and continuously mature the fraud model validation capability, standards, and workflows within MRM.
What We Look For In You
Master’s or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, or equivalent experience.
10+ years of quantitative, fraud risk, or model risk experience, with a recognized track record as a hands-on technical expert who personally delivers independent validations of models and decision systems.
Excellent communication and judgment, including the ability to explain quantitative findings to senior audiences and constructively challenge model owners.
Practical experience with statistical and machine learning methods; proficiency in Python and SQL; working knowledge of SR 11-7 or equivalent model risk and AI governance frameworks.
Experience with AI/ML governance and controls, including explainability, fairness, robustness, ongoing monitoring, or generative and agentic AI applications in fraud operations.
Nice to Haves
Experience establishing validation frameworks, methodologies, or capabilities in settings where they did not previously exist.
Strong applied AI capability: hands-on experience evaluating or building ML/LLM-based systems in production, including prompt engineering, evaluation harnesses, fine-tuning assessment, or agentic AI workflows; able to run red-team style testing on AI applications.
Perks &
Benefits
Competitive total compensation package
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 $200,000 - $300,000
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.
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: Tashkent, Uzbekistan; Tbilisi, Georgia
We are looking for a detail-oriented Real Estate Contracts Specialist with a minimum of 2 years of experience in real estate transaction processing, contract administration, and property documentation.
The ideal candidate will be responsible for preparing and processing property reservation agreements, purchase and sale agreements, maintaining payment schedules, and ensuring accurate registration of real estate transactions.
Candidates must have strong knowledge of local real estate transaction procedures and be comfortable handling documentation for both local and international buyers.
Key Responsibilities
Prepare, review, and process property reservation agreements and purchase and sale agreements.
Coordinate real estate transaction documentation from reservation through completion.
Maintain and monitor property payment schedules, instalments, and transaction records.
Handle deal registration procedures in accordance with local real estate regulations.
Coordinate with sales teams, developers, banks, notaries, legal representatives, and clients.
Verify buyer details, property information, payment terms, and contractual documentation.
Ensure all agreements and supporting documents are accurate and completed within deadlines.
Maintain organised records of property transactions and contractual documentation.
Assist with transactions involving foreign buyers and ensure all relevant documentation is properly processed.
Follow up on pending agreements, signatures, registrations, and payments.
Requirements
Minimum 2 years of relevant experience in real estate transaction processing, contracts administration, or property documentation.
Previous experience working with a real estate developer, brokerage, bank, notary, or property-related organisation.
Strong knowledge of reservation agreements, purchase and sale agreements, and property transaction procedures.
Understanding of local property deal registration processes.
Experience maintaining payment schedules and coordinating transaction documentation.
Fluency in Russian and the local language.
Working proficiency in English.
Experience handling transactions involving foreign buyers will be considered an advantage.
Excellent attention to detail, organisational skills, and accuracy.
Ability to manage multiple transactions and meet deadlines.
Benefits
Office-based work;
International team and projects;
Compensation: fixed salary;
Minimal bureaucracy and a high level of trust from management;
Professional growth and development;
Supportive team, regular calls and the opportunity to work and grow in
fast-growing industries
.
Location: New York, NY (HQ); San Francisco, CA; Remote (US)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
Ramp believes that AI-powered CX organizations are the future and we are racing to build the best one in the world. Our goal is for our team to work hand in hand with AI agents to drive superlative customer outcomes and the highest-velocity AI improvement engine in the business.
This role will own the strategy and ops teams that are making that transition a reality while still delivering 24/7/365 support for our 85,000+ customers every day. You will work with the Head of CX to set the goals, measure what matters, and build the systems and programs that push the team forward. You’ll manage a small and mighty team across Business Operations, CX Analytics, Workforce Management, Learning & Development, and CX AI Operations to accomplish your goals.
We believe every CX frontline specialist has a role to play driving forward the performance of our AI agents - it is not work reserved for a dedicated AI team. Each specialist needs to be trained, coached, scheduled, and rewarded for continuous work of closing AI learning loops, ensuring AI escalations get resolved, and obsessing about how our customers are actually being served.
You'll do this while running a global support operation that has to be excellent today. Once we nail the model in CX, there will be momentum to help other operations teams adopt it.
WHAT YOU’LL DO
- Set the goals and measure what matters. Work with the Head of CX and senior CX managers to set org-wide goals, decide how we measure progress, and deliver the programs and projects that enable that strategy to flourish.
- Define how specialists and AI agents work together. Build the roles, workflows, and expectations that let specialists and AI agents serve customers as one team.
- Change what we reward. Rebuild goals, incentives, and performance management so specialists get credit for closing AI learning loops, getting AI escalations resolved, and improving how customers are actually served, alongside traditional frontline performance.
- Own global schedules, capacity, and quality. Plan coverage for 24/7/365, multi-tier, global support that holds a high bar for customers of all shapes and sizes.
- Build the training model for the new work. Both new and tenured specialists need to investigate hard issues, judge agent behavior, and contribute fixes, while still developing a deep understanding Ramp’s complex financial products. L&D should make them good at all of it.
- Turn AI progress into operating change. Know what our Investigative Copilot (specialist-facing) and AskRamp (fully agentic) can do and how well they do it. When that moves, change staffing, workflows, training, and expectations to match.
- Build and own the voice of the CX specialist to Product and Engineering. Use CX data to show technical teams where agents succeed and where they struggle, and work with them directly on tooling, prompts, and agent behavior. They own the roadmap; you make sure CX's evidence shapes it.
- Build a small, strong team. Develop and grow leaders across Business Operations, CX Analytics, Workforce Management, Learning & Development, and CX AI Operations, with clear ownership and shared goals.
WHAT WE’RE LOOKING FOR
We want an operator who has already changed how real work gets done with AI and can show the results.
- A record of strategic and operational execution inside an operating unit or fast growth business. That could be CX, Sales, supply chain, or another function where you owned the goals, the systems, and the outcomes.
- A genuine AI transformation you were on the front lines of in the last 18-24 months. You changed how a team’s work gets done and kept it running in production. You can explain what improved, what failed, and what you learned.
- Exceptional intellectual horsepower and natural curiosity, demonstrated through outstanding, standout performance across past roles in demanding environments.
- Experience leading teams and developing reports, with sound judgment about organizational design, incentives, and performance management.
- Analytical depth you use yourself: you can build or audit a capacity model, challenge a metric, diagnose an operating problem, or review an AI agent session to find the flaws.
- Credibility with Product, Engineering, and Data teams, and the ability to shape their priorities without a reporting line.
- High standards for customer quality and human accountability - you don’t compromise on the customer outcome.
HELPFUL EXPERIENCE
- Leadership spanning business operations, CX analytics, workforce management, learning and development, or AI operations or their equivalents in other operating teams.
- Experience with production AI agents, evaluations, escalation workflows, and continuous improvement.
- Taking an operating model that worked in one team and making it successful elsewhere.
HOW SUCCESS WILL BE MEASURED
- Specialists and AI agents work as one team, measured through both direct frontline performance as well as agentic velocity.
- Every specialist is trained, coached, scheduled, and rewarded for migrating successfully into an AI native version of the role.
- Learning loops close fast, AI escalations produce durable fixes, and new agent capabilities show up as operational gains.
- Customer quality goes up and 24/7/365 support stays excellent while the operating model changes.
- Other Ramp operations teams are adopting what worked in CX.
COMPENSATION
For candidates located in New York City or San Francisco, the base salary range for this role is $184,000–$250,000. For candidates located in all other locations, the base salary range will be between $175,000-$220,000.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: United States (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.
Grafana Labs is looking for a
Enterprise Account Executive, Acquisition
who will be responsible for prospecting and closing new business across the
NYC Metro
region. You will identify, nurture and close opportunities with new customers, manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking products. Your expertise will be critical in helping articulate the value of our products, work with the customer during the trial phase and hand off a strong relationship to our Growth team. Ideally, you come from a technical background and have sold technical products before.
Responsibilities
Meet and exceed individual quarterly and annual sales goals
Outbound prospecting into net-new customers
Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, and negotiations)
Cultivate sales through outbound prospecting and inbound leads
Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise
Become an expert in managing your sales pipeline in Salesforce
Manage quote creation, order processing, and day-to-day customer requests
Requirements
5+ Years of Experience in Infrastructure Technology Sales
Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer)
Energetic, upbeat, entrepreneurial, tenacious team player
Adaptable and with demonstrable experience in high velocity technology companies
Familiarity with open source technology is a significant advantage
You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually
Bonus Points For:
Experience using Salesforce
Experience using Command of the Message and MEDD(P)ICC is ideal
In the US, the OTE compensation range for this role is $280,000 - $310,000. 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.
*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 States (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 are looking for candidates from the U.S.
The Opportunity
Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily.
This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency.
What You'll Be Doing
Agentic Systems & AI Infrastructure
Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams
Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs)
Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management
Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths
Systems Integration & Backend Services
Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools)
Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context
Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure
Automation & Workflow Enablement
Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes
Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards
Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently
We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards.
What Makes You a Great Fit
8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering
2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes
Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline
Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation
Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring
You diagnose business problems before writing code. You think in workflows and outcomes, not just functions.
Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run)
Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management
Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction
Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems
Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders
Bonus Points
Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector)
Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach)
Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces
Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks)
Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow)
Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources
Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment
Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA
In the United States, the base compensation range for this role is USD
$154,445
- USD $185,334. 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: Canada (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 are looking for candidates from Canada. Residents of Quebec are not eligible for this role.
The Opportunity
Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily.
This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency.
What You'll Be Doing
Agentic Systems & AI Infrastructure
Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams
Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs)
Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management
Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths
Systems Integration & Backend Services
Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools)
Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context
Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure
Automation & Workflow Enablement
Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes
Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards
Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently
We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards.
What Makes You a Great Fit
8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering
2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes
Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline
Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation
Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring
You diagnose business problems before writing code. You think in workflows and outcomes, not just functions.
Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run)
Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management
Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction
Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems
Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders
Bonus Points
Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector)
Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach)
Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces
Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks)
Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow)
Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources
Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment
Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA
In Canada, the base compensation range for this role is CAD 164,490
- CAD
197,389
. 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: Paris, France
Workplace: Hybrid
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
📈 FINANCE COMMUNITY AT ALAN
Finance & Strategy exists to enable better decisions, faster, at every level of the company, in a regulated, diverse and ever-changing business.
We succeed when ambitious goals become credible plans, when strategic bets are grounded in financial reality, and when the entire company (not just Finance!) speaks the language of performance.
We set the right ambition, we monitor whether we're getting there, and we raise our hand when something needs to change.
We are not record-keepers. We are builders, partners, and challengers. We are looking for people who want to build, support decision-making processes and challenge the status quo.
The core responsibilities of the Finance & Strategy community are:
- Strategy & Planning: steers Alan's financial performance through business planning, financial and operational monitoring, investor relations and financing
- Financial Reporting: is the steward of Alan's financial truth, ensuring that we produce accurate, timely financial data. It owns the reporting to all key stakeholders (board, leadership team, tax authorities, and regulators like the ACPR) and ensures that financial data is the single, uncontested source of truth for the company's performance
- Finance Data and Operations: Build and own the core finance data and tooling infrastructure (models, pipelines, and concepts that connect business operations to financial reality). This is where Finance meets product thinking
- Functional poles with end-to-end ownership of their domain: Treasury, Procurement, M&A
⭐️ THE INSURANCE CONTROLLER ROLE ⭐️
Our insurance scope is growing fast: more complex reinsurance treaties, prévoyance (disability and death cover) moving in-house, new products and markets. At the same time, Finance is taking over the Solvency 2 balance sheet, which will be audited from 2028.
We’re looking for a rigorous, ownership-driven insurance finance professional to own our prévoyance technical flows and the production of the Solvency 2 balance sheet. You’ll join the Financial Controlling team (within Financial Reporting) and act as the hub between Risk, Actuarial, Ops, Data and Strategy, as well as the main contact for our reinsurers and external auditors.
You’ll know these numbers inside out: how they’re produced, what business reality they reflect, and how to defend them to auditors, the ACPR and the Board. You read the source texts yourself (accounting rules, Solvency 2 regulation, treaty clauses), form your own view, and know when to escalate.
⭐️ WHAT YOU WILL DO ⭐️
- Prévoyance flows: own premiums, claims, technical provisions (mathematical and claims reserves) and related reinsurance, from P&L through balance sheet and cash
- Reinsurance accounting: manage reinsurance accounts, quarterly settlements and profit-sharing clauses, making sure the books reflect what our treaties actually say
- Solvency 2 balance sheet (solo and group): restate French GAAP to Solvency 2, challenge actuarial best estimates and risk margin, and track own funds quarter to quarter
- Regulatory reporting: prepare balance sheet and own-funds QRTs and write the balance-sheet section of the SFCR
- Audit readiness: be the single point of contact for auditors on Solvency 2, starting with the 2027 dry run, with documentation and controls always ready
- Monthly review: analyse and comment on your scope (P&L, balance sheet, variances, loss ratio and other insurance KPIs)
- Automation: turn manual computations into clear specs for our Finance Data team, and use data and AI to make closing faster and more reliable
- Business partnering: flag the accounting and solvency impact of new products, treaties or markets early and follow through to implementation
⭐️ WHAT WE’RE LOOKING FOR ⭐️
- At least 5 years in insurance accounting, ideally Big 4 insurance audit followed by finance or reporting at an insurer
- Strong command of French GAAP insurance accounting (technical provisions, reinsurance, insurance P&L)
- Hands-on experience with the Solvency 2 balance sheet and QRTs
- Strong analytical skills: reconciling large datasets, bridging French GAAP to Solvency 2, spotting inconsistencies; comfortable with SQL and AI tools
- Organised, rigorous and comfortable building structure from ambiguity; you close the loops and can explain technical topics to actuaries, auditors and non-finance stakeholders alike
- Fluent in English and French
Big pluses: prévoyance experience (long-term reserves, mortality/disability tables, profit-sharing), having built a Solvency 2 production process, actuarial knowledge, IFRS 17.
🌍 How we work
- Location: You must be legally eligible to work from France. The role is based in Paris.
- Remote work: We offer remote work flexibility, but we value in-person collaboration.
🎯 Important note: we hire people, not roles.
- If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success.
- If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
- Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!
You want to know more about Alan?
- 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
- 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work.
- 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
Location: United States (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:
We’re looking for an experienced and detail-oriented Revenue Accounting Manager to join our Finance Team! Reporting to the Director of Accounting (Revenue & Technical Accounting), you will play a key role in ensuring accurate, timely, and compliant revenue recognition for Grafana Labs, drive month-end close excellence, strengthen internal controls , and partner cross-functionally across RevOps, Deal Desk, Billing, Legal, Finance & Strategy, and Audit teams. This is an individual contributor position.
Our ideal candidate is a strategic, detail oriented revenue accounting professional with deep ASC 606 expertise and hands on experience with quote-to-cash processes in a SaaS or cloud consumption-based environment. They apply sound technical judgment to complex contracts, partner credibly with Sales, Legal and Deal Desk, and have a track record of building scalable, controlled and automated revenue processes.
What You'll Be Doing:
Ensure proper application of ASC 606 to customer contracts, including subscription, usage-based and committed-spend arrangements, as well as variable consideration, multi-element deals, and contract modifications.
Review non-standard contract terms and prepare technical accounting analyses and documentation that are well supported, audit ready and practical to execute.
Identify and implement opportunities to use automation, AI and other tools to streamline revenue processes.
Perform and review monthly accounting close activities and deliverables for revenue (i.e. journal entries, account reconciliations, revenue estimate calculations, month-end analytics).
Translate ASC 606 conclusions into system configuration, and manage and enhance revenue automation, including NetSuite ARM, to improve accuracy, scalability and efficiency.
Execute and continuously improve month-end close accuracy and timeliness.
Support the financial reporting process by preparing quality and audit-ready supporting schedules.
Collaborate with Sales, Legal, DealOps and Billing to evaluate deal structures and resolve revenue-impacting terms before booking.
Assist with assessing the revenue implications of new products, pricing changes and go-to-market models, and help set accounting positions and policy.
Design, maintain and test SOX compliant internal controls over revenue, and identify opportunities to strengthen them.
Be a key partner for external auditors, providing audit ready documentation and support for quarterly and annual reviews.
Use SQL, Python or advanced Excel to analyze large data sets, find root causes and surface trends in revenue, billings and deferred revenue.
What Makes You a Great Fit:
Bachelor's degree in Accounting, Finance, or related field; CPA preferred.
6+ years of progressive revenue accounting experience in a Big 4 accounting firm and/or SaaS/technology company.
Deep knowledge of ASC 606, including usage-based or consumption-based revenue models and contract modifications.
Experience with revenue automation tools and ERP/CRM systems (e.g., NetSuite ARM, Zone Billing, Salesforce).
Working knowledge of Claude, Codex, SQL, Python, BigQuery or advanced excel functionalities preferred.
Strong analytical and problem-solving skills, with a track record of implementing process improvements.
Excellent communication and interpersonal skills, capable of influencing cross-functional stakeholders.
Compensation & Rewards:
In the United States, the base compensation range for this role is $120,000 - $145,000. 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.
#LI-Remote
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.
*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: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As an Intermediate Fullstack Engineer on GitLab's Subscription Lifecycle team within Monetization, you'll build the frontend experiences and backend services customers use to view and manage subscriptions, renew products, configure auto-renewal, and manage billing accounts. Your work will span renewals, overages and reconciliations, subscription visibility, and budget and reservation management, keeping subscription, billing, and account data accurate and reliable. Because these workflows directly affect revenue, customer access, and financial information, you'll use technical judgment, safe and iterative rollouts, and a high bar for reliability and correctness.
Some examples of our projects:
Building a clear, reliable subscription view across the Customers Portal and related surfaces
Improving manual renewal and auto-renewal flows, including supporting emails, banners, and account experiences
What you'll do
Design and build fullstack features across the post-purchase subscription journey.
Contribute to the technical design and implementation of new subscription lifecycle capabilities.
Partner with Product and Design to translate renewal, billing account, and customer experience requirements into resilient, well-tested solutions.
Integrate subscription lifecycle workflows safely with billing, customer account, and internal admin systems.
Write maintainable, well-tested code and follow engineering practices for rollout safety and monitoring.
Participate in code reviews and provide thoughtful, constructive feedback.
Identify and reduce technical debt and architectural risk in the subscription lifecycle.
Participate in incident response for subscription and renewal issues, given their potential impact on revenue and customer access.
Take part in on-call or operational support where your team’s ownership model requires it.
What you'll bring
Professional experience as a fullstack engineer and confidence working across frontend and backend code.
Our purchase applications use Ruby on Rails (Must have) and Vue.js. (preferred) or React.
Experience owning technical direction for a product area, including proposing, discussing, and driving thorough, iterative solutions.
Experience building or maintaining transactional or checkout-style flows, ideally in a billing, ecommerce, or subscription context.
Familiarity integrating with third-party billing or customer relationship management systems, such as Zuora, Salesforce, or Stripe, is a plus, not a requirement.
A focus on safe, incremental delivery given the revenue and customer impact of this work.
The ability to communicate clearly and concisely about complex technical, architectural, and organizational problems and propose thorough, iterative solutions.
Written and spoken English proficiency sufficient to collaborate in a remote, largely asynchronous work environment.
Alignment with GitLab's values and a commitment to working in accordance with them.
About the team
The Subscription Lifecycle team is part of GitLab's Monetization section and owns the post-purchase subscription experience. You'll partner with Sales, Finance, Information Technology, and Support on secure, reliable purchasing, billing, provisioning, and utilization workflows, and report to the Engineering Manager, Purchase. The team works asynchronously, with regular planning and retrospectives and shared expectations for deployments, incident management, testing, and rollout safety. GitLab's mission is to enable everyone to contribute and co-create the software that powers our world. The Purchase team's mission is to make it as easy as possible for anyone to buy, add on to, or upgrade GitLab through a single, trustworthy, unified purchase experience. For more on how Monetization works, see the
Monetization sub-department handbook
.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
All remote, asynchronous work environment
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation
and
Employee Stock Purchase Plan
Growth and development budget
Parental leave
Home office support
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$115,200
—
$194,400 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Amsterdam, Netherlands
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Summary:
Location:
Amsterdam
Duration:
3 months
Start date:
Winter 2027
Compensation:
Paid
Eligibility:
Current University student (Computer Science or related field), Recent Graduate or Early Career specialist
Work authorization:
Permitted to work in the job's location
The role
We are looking for a
Software Engineer
to join us as a part of Early Talent Program. You will work alongside experienced engineers, learn how high-performance backend systems are designed and operated, and contribute code that runs in real environments used by customers worldwide.
You will get hands-on experience with distributed systems, workflow orchestration and engineering best practices in a team working at the cutting edge of AI cloud infrastructure.
The team
The
Compute Control Plane
team builds the core of the Nebius cloud: the Compute API, through which every VM, disk, snapshot and GPU cluster is created. The service manages 50K+ resources across 10+ regions and coordinates with storage, networking, quotas, billing and IAM, handling long-running operations and hardware failures along the way. We work in Go, gRPC, Temporal and Kubernetes.
Current projects include snapshots, live VM updates, resource reservation, rate limiting and protection against cascading failures. Our engineers own their features end-to-end, from design to production.
We expect you to have:
Knowledge of at least one programming language (Go is a must)
Understanding of basic algorithms and data structures
Strong motivation to learn, grow and develop as a backend engineer
Willingness to work with complex systems and ask questions
What we offer:
Competitive salary and comprehensive benefits package
Mentorship from experienced AI, ML and cloud infrastructure professionals
Hands-on experience with real customer workloads and production systems
Opportunities for professional growth within Nebius
A dynamic and collaborative work environment that values initiative and innovation
Opportunity to be considered for a full-time role after the Early Talent Program
We conduct coding interviews as part of the process.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
#LI-MM3
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
United Kingdom - Remote
seniorBangalore, India
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