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Associate Observability Architect | PST | Remote
United States (Remote)
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Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re 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:
At Grafana Labs, we’re redefining what post-sales technical partnership looks like—and it starts with the Observability Architect. This is a role for deeply technical experts who are ready to step into strategic leadership with our most important customers. If you thrive at the intersection of systems thinking, architecture design, and customer impact—this is your stage.
As an Observability Architect, you will be the technical owner of long-term customer success. You’ll architect and guide the implementation of complex observability solutions across a wide range of modern infrastructure and application environments. You’ll build strategic relationships with engineers, SREs, and architects—ensuring Grafana’s technology is not just deployed, but deeply embedded into mission-critical systems.
Working hand-in-hand with our Engagement Managers, you’ll lead technical discovery, design, onboarding, and enablement—all with a focus on delivering tangible outcomes. You’ll spot patterns, solve hard problems, and guide customers through their observability maturity curve with authority and clarity.
You’ll also represent the technical voice of our customers internally—shaping product feedback and roadmap priorities by working closely with Engineering and Product Management.
This is a hands-on, high-impact role for those who want to go deep, stay technical, and directly influence customer success at scale. Join us and become part of the most respected observability team in the industry.
What You'll Be Doing:
Serve as the primary technical point of contact for a portfolio of Grafana customers.
Design the observability maturity journey of customers and assist them on that path.
Provide expert-level troubleshooting and guidance to drive adoption.
Conduct regular technical reviews and health checks to ensure client success. Assist in RCA to understand issues that affect customer satisfaction, retention, and overall product experience.
Advise clients on best practices and strategies for leveraging our technology to achieve their business goals
Collaborate with clients to develop and execute technical roadmaps.
Identify opportunities for clients to optimize their cost, expand their use of our solutions and drive adoption of new products and features.
Develop and maintain strong, long-term relationships with key stakeholders.
With the support of our Engagement Managers and Onboarding Solutions Architects, own customer lifecycle.
Drive the adoption and effective use of our product suite within your customer portfolio to maximize their value from our platform and ensure a strong return on investment.
Act as the voice of the customer within the company, advocating for their needs, priorities and feature requests.
Conduct training sessions and workshops to educate clients on our technology.
Develop and deliver technical documentation, guides, and tutorials.
Work alongside account teams to participate in and/or conduct regular reviews with customers to identify areas for improvement, calculate ROI, assess their satisfaction, and discuss upcoming needs and projects.
Prepare and present reports on client metrics, achievements, and areas of focus.
What Makes You a Great Fit:
Located on the West Coast
Bachelor’s degree in Computer Science, Information Technology, Math or a related field (or equivalent experience).
Experience deploying and operating Kubernetes.
5+ years of experience in a technical support, technical account management, consulting, SE or Professional Services role within the technology industry.
Strong understanding of observability solutions. Grafana, Prometheus, and Loki a plus.
Proven ability to manage multiple clients and projects simultaneously.
Excellent problem-solving and analytical skills.
Outstanding communication and interpersonal skills.
Experience with relevant tools and technologies, e.g., CRM software, ticketing systems, specific programming languages.
Ability to travel as needed to meet with clients (up to 25%).
Identify and provide timely workarounds and solutions to meet a customer’s business needs.
You have some observability expertise, preferably architect level
First class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. Ability to articulate our value proposition and the technical advantages of our products
You will love solving technical challenges and thrive on bringing creative solutions to our customers
Bonus Points For:
2+ years of technical sales, TAM or other post sales technical experience, ideally with open source technologies, or in the observability space.
Great at connecting product usage to value (ROI).
Great at managing customer lifecycle.
You will be creative in solving customer adoption challenges.
You can proactively assist customers with technical issues that may arise and assist in the troubleshooting and root cause analysis.
You should have a technical mindset and a desire to grow technically. Great candidates may be a recent grad of a coding bootcamp or have previous post-sales or engineering experience–we are excited to see what unique experiences and skill sets you bring to the table!
In the US, the OTE compensation range for this role is $139,000 - $167,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication – Expect open decision-making and regular company-wide updates.
Innovation-Driven – Autonomy and support to ship great work and try new things.
Open Source Roots – Built on community-driven values that shape how we work.
Empowered Teams – High trust, low ego culture that values outcomes over optics.
Career Growth Pathways – Defined opportunities to grow and develop your career.
Approachable Leadership – Transparent execs who are involved, visible, and human.
Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.
Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
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Listed by Grafana Labs for a position based in the United States. Employers on this board attest they are hiring domestically.
Chaos Labs
ALL JOBS
Senior AI Data Scientist
Data Science
United States
Senior
Full-time
Description
Chaos Labs is building a new AI platform for the enterprise, focused on how organizations operate and create value in an AI-native world. We’re bringing years of experience building applied AI and mission-critical infrastructure to a new category of enterprise software. Previously, Chaos Labs built the leading risk management platform for on-chain finance, processing more than $5 trillion in financial volume and managing tens of billions of dollars in assets. We’ve raised $65 million from Haun Ventures, Lightspeed, Galaxy, General Catalyst, Bessemer, F-Prime, PayPal, and others. We’re currently operating in stealth and building with a small team around a technically ambitious problem we believe will become increasingly important as AI reshapes how companies work.
How We Work
Chaos is built around high-agency, high-talent individual contributors. We keep teams small, give people meaningful ownership, and expect them to operate with autonomy, strong judgment, and a high bar for their craft. We hire people who can take an ambiguous, important problem and drive it forward — not just execute against a predefined roadmap. Titles matter less than impact, and the people closest to a problem are trusted to make decisions and own outcomes.We move fast, stay close to the work, and care deeply about building things exceptionally well. Ownership over instruction. Impact over hierarchy.
The Role
We’re hiring a Senior Data Scientist, Applied AI to own the development and evaluation of machine learning systems that power our enterprise AI platform. This is a high-impact role with significant ownership from day one. You’ll work closely with the Chief Science Officer, and Engineering to build and deploy production ML and LLM-powered capabilities while using rigorous experimentation, evaluation, and product analytics to continuously improve their quality, user impact, and business outcomes., taking problems from ambiguity through execution and measurable impact.
What You'll Do
Design and build machine learning systems that power enterprise search, retrieval, recommendations, and AI agents.
Develop evaluation frameworks and metrics to measure the quality, performance, and business impact of LLM-powered applications.
Build scalable data and ML pipelines that process and analyze large-scale AI interaction data.
Apply statistical modeling, experimentation, and causal inference to guide product development and strategic decision-making.
Collaborate closely with Product, Engineering, and Design to translate research and insights into production features.
Analyze product usage and customer behavior to identify opportunities for improving AI adoption, productivity, and user experience.
Prototype, evaluate, and deploy new AI capabilities using foundation models, embeddings, and retrieval-augmented generation (RAG) techniques.
Define key performance indicators and build analytical frameworks that inform product strategy and company-wide decisions.
Contribute to the technical direction of our AI platform by identifying new opportunities to leverage machine learning and generative AI.
Identify opportunities, form strong points of view, and turn them into action.
Requirements
5+ years of experience in Data Science, Applied Machine Learning, or a quantitative research role.
A degree in Computer Science, Statistics, Mathematics, Machine Learning, Economics, Physics, or another highly quantitative field.
A track record of developing and deploying machine learning models in production and turning ambiguous problems into measurable solutions.
Strong proficiency in Python and SQL, with experience building scalable data and ML pipelines.
Deep understanding of statistics, experimentation, causal inference, and predictive modeling.
Experience working with large-scale datasets and modern data infrastructure.
Familiarity with LLMs, embeddings, retrieval systems, RAG, or AI agents.
Strong analytical and technical judgment, with the ability to translate ambiguous product and business questions into rigorous analytical or machine learning approaches.
Excellent communication skills and the ability to work cross-functionally with Engineering, Product, Design, and Leadership.
Comfort operating in ambiguity and taking ownership without waiting for direction.
Exceptional standards for your own work and the ability to move quickly without sacrificing quality.
Preferred Qualifications
Experience building or evaluating LLM-powered products or AI applications.
Background in search, recommendation systems, information retrieval, or knowledge graphs.
Experience designing A/B tests, offline evaluations, and ML benchmarking frameworks.
Familiarity with vector databases, embedding models, and agent orchestration frameworks.
Contributions to open-source ML projects or publications in machine learning, NLP, or related fields.
Experience in B2B SaaS, developer tools, or enterprise AI products.
Based in NYC and able to work from our Brooklyn office, or remote within the U.S. with the ability to travel up to 30% of the year for in-person team collaboration.
Benefits
Paid Time Off – 21 vacation days + 7 sick days + 8 observed U.S. company holidays
Health Coverage – 100% employer-paid options (medical, dental & vision) for you and your dependents
FSA / HSA Options – depending on selected health insurance plan
Wellness Programs – OneMedical, Teladoc, Talkspace, and EAP
401(k) - with a 100% company match on the first 6% contributed
Career Growth – opportunities in a rapidly expanding, global technology company with personalized professional development
Pre-tax Commuter Benefits
Compensation & Equity – competitive package aligned with growth and merit
Salary and Seniority level commensurate with experience (range: $ 179K - 217K)
APPLY FOR THIS JOB
ALL JOBS
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Listed by Chaos Labs for a position based in the United States. Employers on this board attest they are hiring domestically.
The Staff Security Engineer will be responsible for designing, implementing, and maintaining security identity services that support our business. You will understand data and automation are important ingredients to our mission and know how to actively employ these ingredients at scale. Beyond the technical expertise, we value individuals who can partner cross-functionally across various teams, driving impactful outcomes and further securing our digital landscape.
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Primary Duties
Lead the development, implementation, and ongoing maintenance of comprehensive security strategies and solutions.
Design and deploy advanced identity security controls to safeguards networks, systems, and applications.
Work across disciplines to shape our security services strategy and execution
Set and uphold the standard for security processes to support high-quality engineering
Mentor and galvanize new engineers to do their best work
Minimum Qualifications
BS/BTech (or higher) in Computer Science, Information Technology, Cybersecurity or a related field
8+ years of experience in software or security engineering within Cloud Native environments
Domain Specific Minimum Requirements
Cloud IAM Architecture: Deep knowledge of cloud security architectures (AWS IAM, Azure Entra ID, or GCP IAM), including designing/enforcing least-privilege roles, RBAC/ABAC, and permission policies.
Identity Protocols & Governance: Proficiency in identity standards and federation protocols (SAML, OIDC, OAuth, LDAP/Directory Services), user lifecycle automation, SSO, MFA, and Just-In-Time (JIT) access.
Automation & IaC: Strong hands-on proficiency with Infrastructure as Code (Terraform or CloudFormation) and scripting (Python or PowerShell) to automate identity provisioning, drift detection, and access workflows.
Non-Human Identity (NHI) Fundamentals: Practical experience managing service accounts, API keys, bots, and automated workload identities across cloud infrastructure.
Preferred KSA’s
Experience architecting, developing, and deploying large-scale distributed systems at scale
Experience with cloud technologies, e.g., AWS, Azure, GCP
Experience building continuous integration and continuous development (CI/CD) pipelines
Familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go)
4+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value
Experience with health-tech systems, like Electronic Health Records, Clinical data, etc.
Domain Specific Experience
AI Identity & Access Management
NHI Architecture: Design secure, scalable, and automated solutions for managing service accounts, machine identities, secrets, certificates, APIs, and cloud-native workloads.
AI/ML Security & Threat Modeling: Hands-on experience with AI/ML tools (e.g., Gemini, Claude, AWS Bedrock), conducting threat modeling for AI systems, or managing automated permission guardrails for AI agents.
AI/ML Security & Threat Modeling: Hands-on experience with AI/ML tools (e.g., Gemini, Claude, AWS Bedrock), conducting threat modeling for AI systems, or managing automated permission guardrails for AI agents.
Advanced Protocols & Microservice Security: Familiarity with SPIFFE/SPIRE, zero-trust network architectures, or complex containerized identity frameworks.
Industry & Regulatory Context: Experience with health-tech systems, clinical data environments (EHRs), and regulatory standards (HIPAA, SOC 2, ISO 27001).
Certifications: CISSP, OSCP, CEH, Certified AI Security Specialist (CAISS), or GIAC Machine Learning Security Engineer (GMSE).
Physical Requirements
Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.
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Who We Are:
Aledade PBC, a public benefit corporation, exists to empower the most transformational part of our health care landscape - independent primary care. We were founded in 2014, and since then, we've become the largest network of independent primary care in the country - helping practices, health centers and clinics deliver better care to their patients and thrive in value-based care. Additionally, by creating value-based contracts across a wide variety of health plans, we aim to flip the script on the traditional fee-for-service model. Our work strengthens continuity of care, aligns incentives and ensures primary care physicians are paid for what they do best - keeping patients healthy. If you want to help create a health care system that is good for patients, good for practices and good for society - and if you're eager to join a collaborative, inclusive and remote-first culture - you've come to the right place.
What Does This Mean for You?
At Aledade PBC, you will be part of a creative culture that is driven by a passion for tackling complex issues with respect, open-mindedness and a desire to learn. You will collaborate with team members who bring a wide range of experiences, interests, backgrounds, beliefs and achievements to their work - and who are all united by a shared passion for public health and a commitment to the Aledade mission.
In addition to time off to support work-life balance and enjoyment, we offer the following comprehensive benefits package designed for the overall well-being of our team members:
Flexible work schedules and the ability to work remotely are available for many roles
Health, dental and vision insurance paid up to 80% for employees, dependents and domestic partners
Robust time-off plan (21 days of PTO in your first year)
Two paid volunteer days and 11 paid holidays
12 weeks paid parental leave for all new parents
Six weeks paid sabbatical after six years of service
Educational Assistant Program and Clinical Employee Reimbursement Program
401(k) with up to 4% match
Stock options
And much more!
At Aledade PBC, we don’t just accept differences, we celebrate them! We strive to attract, develop and retain highly qualified individuals representing the diverse communities where we live and work. Aledade is committed to creating a diverse environment and is proud to be an equal opportunity employer. Employment policies and decisions at Aledade are based on merit, qualifications, performance and business needs. All qualified candidates will receive consideration for employment without regard to age, race, color, national origin, gender (including pregnancy, childbirth or medical conditions related to pregnancy or childbirth), gender identity or expression, religion, physical or mental disability, medical condition, legally protected genetic information, marital status, veteran status, or sexual orientation.
Chaos Labs
ALL JOBS
Senior AI Data Scientist
Data Science
Remote
Senior
Full-time
Description
Chaos Labs builds infrastructure for organizations adopting AI at scale. Our products help organizations understand their AI work, capture the knowledge it generates, and turn everyday AI activity into intelligence they own.
Reporting directly to the Chief Science Officer we are looking for a talented Senior AI Data Scientist to join our team and help shape the future of AI.
Responsibilities
Design and build machine learning systems that power enterprise search, retrieval, recommendations, and AI agents.
Develop evaluation frameworks and metrics to measure the quality, performance, and business impact of LLM-powered applications.
Build scalable data and ML pipelines that process and analyze large-scale AI interaction data.
Apply statistical modeling, experimentation, and causal inference to guide product development and strategic decision-making.
Collaborate closely with Product, Engineering, and Design to translate research and insights into production features.
Analyze product usage and customer behavior to identify opportunities for improving AI adoption, productivity, and user experience.
Prototype, evaluate, and deploy new AI capabilities using foundation models, embeddings, and retrieval-augmented generation (RAG) techniques.
Define key performance indicators and build analytical frameworks that inform product strategy and company-wide decisions.
Contribute to the technical direction of our AI platform by identifying new opportunities to leverage machine learning and generative AI.
Mentor junior team members and help establish best practices in data science, experimentation, and machine learning across the organization.
Requirements
5+ years of experience in Data Science, Applied Machine Learning, or a quantitative research role (or 3+ years with a PhD).
Degree in Computer Science, Statistics, Mathematics, Machine Learning, Economics, Physics, or another highly quantitative field.
Strong proficiency in Python and SQL, with experience building scalable data and ML pipelines.
Deep understanding of statistics, experimentation, causal inference, and predictive modeling.
Experience developing and deploying machine learning models in production.
Experience working with large-scale datasets and modern data infrastructure.
Familiarity with LLMs, embeddings, retrieval systems, RAG, or AI agents.
Strong analytical thinking with the ability to translate ambiguous problems into measurable solutions.
Excellent communication skills and the ability to work cross-functionally with engineering, product, and leadership.
Comfortable operating in a fast-paced, high-ownership startup environment.
Preferred Qualifications
Based in NYC with the ability to work from our Brooklyn office, or the ability to work remotely, with travel up to 30% of the year to collaborate in person with the team.
Experience building or evaluating LLM-powered products or AI applications.
Background in search, recommendation systems, information retrieval, or knowledge graphs.
Experience designing A/B tests, offline evaluations, and ML benchmarking frameworks.
Familiarity with vector databases, embedding models, and agent orchestration frameworks.
Contributions to open-source ML projects or publications in machine learning, NLP, or related fields.
Experience in B2B SaaS, developer tools, or enterprise AI products.
Based in NYC and able to work from our Brooklyn office, or remote within the U.S. with the ability to travel up to 30% for team collaboration.
Benefits:
Compensation & Equity – competitive package aligned with growth, performance, and merit
Career Growth Opportunities – be part of a rapidly expanding, global technology company with room to grow professionally
APPLY FOR THIS JOB
ALL JOBS
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Listed by Chaos Labs for a position based in the United States. Employers on this board attest they are hiring domestically.
As the largest global shared micromobility business, Lime is on a mission to build a future where transportation is shared, affordable and carbon-free. A Time Magazine 100 Most Influential Company, Lime has powered more than one billion rides in close to 30 countries across five continents, spurring a new generation of clean alternatives to car ownership. Learn more at li.me http://li.me.
We are seeking a 6 month fixed-term HR Technology professional to join our HR Technology team for six months, with a single, clearly defined remit: to own the end-to-end design, configuration, and delivery of the 2026 Annual Performance Review process in Workday.
This role is accountable for the technical success of the annual performance review cycle in Workday. That means owning the build, configuration, testing, system readiness, workflow integrity, data accuracy, launch support, and break/fix resolution for the process from design through go-live and in-cycle support. While the role will partner closely with HRBPs, Compensation, and People teams, accountability for the Workday performance review process sits with this role.
This is an ideal opportunity for someone who combines strong Workday configuration capability with practical judgment, stakeholder management, and a high bar for ownership, quality, accuracy, and execution.
This is a remote position with a preference for candidates residing in the United States to maintain effective collaboration across teams.
What You'll Do:
- Own the end-to-end technical delivery of the 2026 Annual Performance Review process in Workday
- Be singularly accountable for the Workday configuration, workflow integrity, system readiness, and technical success of the annual review cycle
- Design, build, and configure the annual performance review process in Workday based on approved policy, process, and business requirements
- Confirm the Workday review template, prompts, task flow, and system design required to support launch
- Translate planning requirements into clear system actions, milestones, and deliverables across the review cycle
- Advise stakeholders on Workday capabilities, constraints, dependencies, risks, and configuration trade-offs
- Partner with HRBPs, Compensation, and cross-functional stakeholders to align on build, testing, readiness, and launch timelines while retaining ownership of the Workday solution
- Configure and validate Workday workflows to ensure a smooth and intuitive review experience for managers, employees, and partners
- Audit employee data in Workday to ensure readiness, accuracy, and integrity ahead of launch
- Lead and coordinate testing activities across the process, including Workday task flow testing and broader user acceptance testing
- Finalize Workday configuration and support related setup activities required for launch, including dependencies tied to compensation planning and budget setup
- Present the Workday template and process design to HRBPs and other stakeholder groups, and incorporate feedback without compromising process integrity or delivery timelines
- Own technical issue identification, triage, break/fix resolution, and in-cycle system support during the performance process
- Identify and proactively manage risks, issues, and dependencies that could impact a successful launch or cycle execution
- Ensure the process is fully configured, tested, and operationally ready ahead of launch
- Document configuration decisions, risks, and process changes to support smooth delivery and handover
About You:
- You have strong hands-on experience configuring and administering Workday, ideally across performance management, talent, or compensation-related processes
- You have delivered or supported complex annual performance review cycles in an HRIS or HR Technology environment
- You are able to translate policy and business requirements into practical system design and configuration decisions
- You understand how to balance user experience, technical constraints, operational risk, and delivery timelines
- You bring strong attention to detail and a rigorous approach to data quality, testing, and system integrity
- You are comfortable managing multiple stakeholders and working across HR, HRBPs, Compensation, and technical teams
- You are proactive, organized, and able to work independently in a fast-moving environment
- You communicate clearly and confidently, including the ability to explain system design choices, risks, and recommendations to non-technical audiences
- You are experienced in testing, issue resolution, and launch support for time-sensitive HR processes
U.S. Based Position - What We Offer:
- Comprehensive Health & Wellness: A choice of medical, dental, and vision plans. We also provide company-paid life and disability insurance and company-funded mental health benefits.
- Financial & Retirement Planning: 401(k) plan with both pre-tax and Roth options, and access to a Health Savings Account (HSA) with a monthly company contribution.
- Family & Fertility Support: Paid parental leave for birthing and non-birthing parents, plus fertility and family-forming benefits.
- Paid Time Off: Unlimited vacation, paid leaves, and 10 company holidays.
- Unique Lime Perks: Complimentary use of Lime vehicles in participating cities, a monthly phone allowance, dedicated learning and development days, and access to perks including One Medical, Wellhub, and Headspace.
The base salary range listed reflects what Lime reasonably expects to offer for this role, with the final base salary determined by objective factors such as the candidate’s location and relevant skills and experience. Depending on the position, the total compensation package may also include discretionary annual performance bonus opportunities and equity, subject to applicable plan terms and eligibility requirements.
Lime considers all qualified applicants for employment, including those with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and all other applicable federal, state, and local laws.
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If you want to make an impact, Lime is the place for you. Not sure if you meet all the qualifications? If this role excites you we encourage you to apply. Explore all opportunities on our career page.
Lime is proud to be an Equal Opportunity Employer. We believe different perspectives help us grow and achieve more. That’s why we’re dedicated to building and developing a team that reflects a wider range of backgrounds, abilities, identities, and experiences. If you require a reasonable accommodation during the application or hiring process, please email recruiting-operations@li.me for assistance.
Listed by Lime for a position based in the United States. Employers on this board attest they are hiring domestically.
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Listed by Rubrik for a position based in the United States. Employers on this board attest they are hiring domestically.
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