Location: Budapest, Hungary
Make a Meaningful Impact—From Anywhere.
Join Intellect as a Clinical Provider and support clients on their mental health journeys through our innovative telehealth platform. You’ll deliver high-quality, evidence-based care while being part of a supportive, global network of professionals.
This freelance, remote role offers complete flexibility, allowing you to manage your schedule while complementing your current work or private practice.
Why Join Intellect
You’ll become part of a trusted community of Clinical Psychologists and Counsellors committed to expanding access to quality mental health care worldwide.
What You’ll Do
Provide 1-on-1 telehealth and/or onsite clinical support
Treat a broad range of cases including anxiety, depression, trauma, addiction, eating disorders, schizophrenia, and more
Partner with our internal clinical team to improve programs and platform outcomes
Requirements
Requirements:
Education:
Master’s degree in Counseling or Clinical Psychology
Expertise:
CBT or other evidence-based approaches (MI, DBT, SFBT, etc.)
Experience:
Minimum of 300 post-master’s clinical hours
Languages:
Fluency in English and the Hungarian language
Preferred:
EAP experience, adult counseling, or managerial coaching
Bonus:
Openness to occasional onsite work
Location: Gotemba, Japan
Make a Meaningful Impact—From Anywhere.
Join Intellect as a Clinical Provider and support clients on their mental health journeys through our innovative telehealth platform. You’ll deliver high-quality, evidence-based care while being part of a supportive, global network of professionals.
This freelance, remote role offers complete flexibility, allowing you to manage your schedule while complementing your current work or private practice.
Why Join Intellect
You’ll become part of a trusted community of Clinical Psychologists and Counsellors committed to expanding access to quality mental health care worldwide.
What You’ll Do
Provide 1-on-1 telehealth and/or onsite clinical support
Treat a broad range of cases including anxiety, depression, trauma, addiction, eating disorders, schizophrenia, and more
Partner with our internal clinical team to improve programs and platform outcomes
Requirements
Education: Master’s degree in Counseling or Clinical Psychology
Expertise: CBT or other evidence-based approaches (MI, DBT, SFBT, etc.)
Experience: Minimum of 500 post-master’s clinical hours
Languages: Fluency in English and the local language
Preferred: EAP experience, adult counseling, or managerial coaching
Bonus: Openness to occasional onsite work
УдалённоGotemba, Japan
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Настройте подбор, и подходящие вакансии будут приходить в Telegram.
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.
Staff Backend Engineer - Adaptive Telemetry, Databases
This is a remote position. We are looking for candidates in the Canadian time zones.
What is Grafana Cloud?
Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.
The Databases department owns and operates the telemetry databases that are
Mimir for metrics
,
Loki for logs
,
Tempo for traces
, and
Pyroscope for profiles
. We offer our databases as a Cloud service supporting Grafana Cloud.
Adaptive Telemetry Group
The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of
Adaptive Metrics
,
Adaptive Logs
,
Adaptive Traces
and Adaptive Profiles.
Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained.
As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software.
What will you be doing:
Drive technical strategy and roadmap.
Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions.
Lead end-to-end delivery of large, cross-functional projects.
Own planning, design, execution, rollout and long-term operation of large initiatives.
Own architecture, reliability, performance and cost for critical systems.
Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable.
Define SLOs/SLIs and lead incident response.
Establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation to prevent recurrence.
Improve observability, automation and operational readiness.
Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR.
Align stakeholders and remove blockers.
Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives.
Mentor and grow engineering talent.
Coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs.
Represent engineering internally and externally.
Communicate technical strategy clearly to non-engineering stakeholders and represent the team in cross-team planning.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What makes you a great fit:
You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs
Proven delivery of large distributed systems.
Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact.
Strong systems-design instincts.
Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost.
Hands-on cloud and platform experience.
Solid experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy.
Reliability and performance ownership.
Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving reliability work end-to-end.
Excellent coding and design skills.
You write clear, maintainable, well-tested code and can lead technical designs — we use Go, but Python/C/C++/Rust or similar translate well.
Comfort with AI-assisted development.
We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered developer tools and ideally have practical experience folding them into a team’s workflow.
Experience with messaging and telemetry.
Familiarity with streaming/messaging systems (e.g., Kafka) and observability tooling (Prometheus/Grafana or equivalents).
Influence without authority.
Ability to align cross-functional stakeholders, set priorities and drive outcomes in a remote-first environment.
Strong communicator.
Clear written and verbal communication that works across engineers and non-technical stakeholders.
Compensation & Rewards:
In Canada, the Base compensation range for this role is CAD
186,368
- CAD
223,642
. 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.
*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.
*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.
Staff Backend Engineer - Adaptive Telemetry, Databases
This is a remote position. We are looking for candidates in the USA time zones.
What is Grafana Cloud?
Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.
The Databases department owns and operates the telemetry databases that are
Mimir for metrics
,
Loki for logs
,
Tempo for traces
, and
Pyroscope for profiles
. We offer our databases as a Cloud service supporting Grafana Cloud.
Adaptive Telemetry Group
The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of
Adaptive Metrics
,
Adaptive Logs
,
Adaptive Traces
and Adaptive Profiles.
Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained.
As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software.
What will you be doing:
Drive technical strategy and roadmap.
Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions.
Lead end-to-end delivery of large, cross-functional projects.
Own planning, design, execution, rollout and long-term operation of large initiatives.
Own architecture, reliability, performance and cost for critical systems.
Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable.
Define SLOs/SLIs and lead incident response.
Establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation to prevent recurrence.
Improve observability, automation and operational readiness.
Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR.
Align stakeholders and remove blockers.
Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives.
Mentor and grow engineering talent.
Coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs.
Represent engineering internally and externally.
Communicate technical strategy clearly to non-engineering stakeholders and represent the team in cross-team planning.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What makes you a great fit:
You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs
Proven delivery of large distributed systems.
Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact.
Strong systems-design instincts.
Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost.
Hands-on cloud and platform experience.
Solid experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy.
Reliability and performance ownership.
Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving reliability work end-to-end.
Excellent coding and design skills.
You write clear, maintainable, well-tested code and can lead technical designs — we use Go, but Python/C/C++/Rust or similar translate well.
Comfort with AI-assisted development.
We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered developer tools and ideally have practical experience folding them into a team’s workflow.
Experience with messaging and telemetry.
Familiarity with streaming/messaging systems (e.g., Kafka) and observability tooling (Prometheus/Grafana or equivalents).
Influence without authority.
Ability to align cross-functional stakeholders, set priorities and drive outcomes in a remote-first environment.
Strong communicator.
Clear written and verbal communication that works across engineers and non-technical stakeholders.
Compensation & Rewards:
In the United States, the Base compensation range for this role is USD
174,986
- USD
209,983
. 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: Hybrid - San Francisco, New York City, London
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
We are looking for a Governance, Risk and Compliance (GRC) Analyst who wants to build GRC with AI, and you do not need to be an engineer to do it. We encourage and equip you to use AI tooling to build automations for audit evidence and customer security questionnaires, alongside assessing AI tools and vendors and managing audits. This is a hybrid role based in San Francisco, New York City, or London, with three days a week in the office.
What you’ll do
Assess AI tools and vendors against security, privacy, and compliance requirements, and run company compliance and ethics training
Maintain the internal controls behind ISO 27001, System and Organization Controls 2 (SOC 2), Health Insurance Portability and Accountability Act (HIPAA), and Payment Card Industry Data Security Standard (PCI DSS) compliance, and drive remediation to completion with documented progress
Use AI tooling to build automations that collect audit evidence, monitor controls, and draft security questionnaire responses, and report on controls maturity scores
Manage annual audit deliverables, write treatment plans, and track completion across teams
Answer customer compliance inquiries and maintain customer-facing security and compliance documentation
What you need
3+ years supporting the audit lifecycle for SOC 2, ISO 27001, PCI DSS, or HIPAA in a cloud-based environment
Applied security or privacy controls to AI systems or AI vendors, such as model access, data handling, or third-party risk review
Built security policies and technical controls into the software development lifecycle (SDLC) with engineering partners
Led compliance projects across multiple business units and seniority levels
Bonus if you
Built an automation or internal tool, with code or AI coding tools, even outside an engineering role
Worked with AI governance frameworks such as ISO/IEC 42001 or the National Institute of Standards and Technology (NIST) AI Risk Management Framework
Hold a Certified Information Security Manager (CISM), Certified Information Systems Security Professional (CISSP), or Certified Compliance & Ethics Professional (CCEP) certification
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $134,000-$202,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.
Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale. This role focuses on the configuration and experimentation systems that let teams safely roll out changes, run controlled experiments, and make data-driven decisions across our products and infrastructure — from feature flagging and dynamic configuration to A/B testing platforms that support both research and production workloads.
Responsibilities
Own the technical strategy and roadmap for config and experimentation infrastructure, translating team-level goals into concrete execution plans and partnering with teams focused on deployment, testing, and more
Maintain and enhance the architecture for feature flagging, dynamic configuration, and experimentation systems, ensuring the hardest problems get solved — whether by you directly or by working through others
Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume experimentation and config workloads across all engineering teams
Own and evolve the platforms and tooling that let engineers and researchers safely ship config changes, run experiments, and measure impact
Define standards, tooling, and frameworks for experimentation and configuration management that drive developer productivity across research and production workloads
You may be a good fit if you:
Have deep experience with configuration management, feature flagging, and/or experimentation platforms in a large-scale environment
Have strong proficiency in Python, Rust and/or Go
Are obsessed with developer productivity and reducing friction in how teams configure, test, and ship changes
Have experience with container orchestration and infrastructure at scale
Have excellent communication skills and enjoy supporting internal partners to improve their development experience
Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges
Strong candidates may have:
Have 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure
Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead
Experience with config or experimentation platforms such as Statsig, GrowthBook, LaunchDarkly, Optimizely, Unleash, or similar (including building such systems in-house)
Experience designing experimentation frameworks — randomization, assignment, metrics pipelines, and statistical analysis for A/B testing at scale
Experience with dynamic configuration systems and safe rollout mechanisms (gradual rollouts, kill switches, targeting rules)
Experience building CLI tools, developer-facing services, and APIs/automation workflows that integrate config and experimentation into existing CI/CD pipelines
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United States
Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365.
To learn more, visit
www.mattermost.com
Mattermost is hiring a
GRC Manager
to own and modernize our governance, risk, and compliance program across both federal and commercial markets.
This is a program-ownership role for someone who brings a modern, engineering-led approach to compliance — harnessing GRC engineering and AI to reduce manual effort and scale our programs. You will own Mattermost's compliance posture end to end, accountable for our federal readiness and commercial certifications, and you will modernize how we run them: automated, continuously monitored, and AI-native.
You will do the hands-on compliance work while coordinating across internal stakeholders in engineering, infrastructure, and IT who implement controls, the external auditors who assess them, and the customers whose trust rests on the outcome. As the program scales, you will grow and lead the team behind it.
What You'll Do
Own and modernize Mattermost's compliance programs across federal and commercial markets
Lead readiness, certification, and surveillance cycles across both programs
Operate the risk management program end to end — from identification and assessment through treatment and acceptance
Own the third-party and vendor risk management program, including security assessments and supply chain risk
Apply GRC engineering and automation to replace manual evidence collection with continuous controls monitoring
Build AI-native workflows to accelerate and improve the quality of recurring compliance work
Maintain the control library, system security plans, POA&Ms, and policies
Coordinate external audits from scoping through remediation
Accelerate deal cycles by owning customer security questionnaires, trust center content, and reusable compliance artifacts
Grow and lead the GRC team as the program scales
What We're Looking For
Bachelor's degree in computer science, information security, or related field — or significant professional GRC and compliance experience
Proven senior-level experience in governance, risk, and compliance, security compliance, or IT audit, including direct ownership of a certification or authorization program
Experience with U.S. Federal standards including CMMC and NIST series (800-171 / 800-53)
Experience with ISO 27001 and SOC 2 Type II
Experience operating a formal risk management program
Experience running a third-party and vendor risk management program
Experience owning customer-facing security assurance, including security questionnaires and trust center content
Working knowledge of security controls for cloud environments (AWS, GCP, and/or Azure)
Excellent written and verbal communication skills
Nice to Have
Professional GRC certifications such as CISA, CRISC, CISM, CISSP, or CIPP
Experience working with AI platforms such as Claude, OpenAI, or Gemini
Experience with compliance automation tooling such as Vanta or Drata, and continuous controls monitoring
Direct experience applying AI or LLM-based workflows to GRC tasks
Proficiency in no-code automation or scripting languages
Past success in critical infrastructure industries including defense, cybersecurity, communications, or manufacturing
How Success Is Measured
CMMC Level 2 gap assessment and readiness roadmap delivered within first 90 days
SOC 2 Type II and ISO 27001 audit cycles completed on time without slippage
Manual evidence collection replaced with automated, continuously monitored controls
Customer security questionnaires and trust center content maintained to unblock deal cycles
GRC team grown and operating as a scalable, program-driven function
Why Mattermost
Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration
Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership
Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration
AI-forward environment: We actively adopt and build AI-enabled workflows — you'll work with and on cutting-edge tooling
Unique scope: Own the compliance program end to end across both federal and commercial markets at a high-growth Series B company
Target Salary Range: $139,254-$168,318
Mattermost takes a market-based approach to pay and pay may vary depending on your location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
Mattermost offers a remote-first work environment with medical, dental, and vision coverage. You’ll also receive unlimited PTO plus company holidays, a work from home stipend, an annual learning and development budget for conferences, certifications, and courses, paid parental leave for all parents, and a 401(k) plan.
U.S. Eligibility & Compliance
This role may require obtaining and maintaining a U.S. government security clearance. Candidates must meet federal eligibility requirements to be considered. For more information visit
Security Clearances — United States Department of State
Applicants must meet eligibility requirements for access to export-controlled information as defined by U.S. export control laws, including EAR and ITAR. For more information visit the
Bureau of Industry and Security
and the
Directorate of Defense Trade Controls
.
Mattermost is an EEO Employer, we are a remote-first, open-source company.
We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time.
Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics.
If you require accommodations during the interview process, please let us know—we’re happy to assist.
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Staff+ Software Engineer, Developer Acceleration
About the Role
Anthropic is seeking talented and experienced Staff+ Software Engineers to join Developer Acceleration within the Developer Productivity organization. The Developer Acceleration team is responsible for the infrastructure that enables thousands of employees to be productive via agents. By joining this team, you'll have a direct impact on the velocity and quality of Anthropic's research and engineering development. You will be defining how AI transforms our work and building the future of agentic productivity.
Some things that the team owns:
Agent Runtime Platform
for provisioning and running agents
Knowledge
for providing relevant internal context to agents and humans
Some of our work is mentioned in
When AI Builds itself
and
Building effective human-agent teams
.
Responsibilities
Define the future of agentic productivity at scale and at the frontier
Own the technical strategy and roadmap for your area, translating goals into concrete execution
Define what quality means for agent-driven engineering work, and hold that line across the company
Stay hands-on: build and ship the runtime platform and tooling
Build agent harnesses and experiment with various context management strategies to improve agent performance and correctness
Write evals to benchmark agent behaviors
Deliver impact by collaborating cross-team
Own infrastructure scalability and reliability, and establish operational excellence practices
You May Be a Good Fit If You:
Have 10+ years building and operating large-scale distributed systems
Have 3+ years of experience leading large scale, complex projects or teams as an engineer or tech lead
Have a lot of experience with agents, eg. agents doing technical/knowledge work
Are obsessed with productivity and transforming how we work
Have experience building scalable platforms
Have excellent communication skills and enjoy supporting internal partners
Strong Candidates May Also Have:
Deep understanding of, and care for, how human work will evolve; and a drive to help shepherd that transition
Experience with container or VM orchestration at scale
Experience working with researchers and engineers
Developer productivity or infrastructure experience, such as CI/CD, builds, etc.
Experience building widely adopted CLI tools and services
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia
At JetBrains, code is our passion. Ever since we started, back in 2000, we have been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers and businesses to grow, discover, and create.
IntelliJ IDEA revolutionized the Java development tool market back in 2001, becoming the first IDE to offer automated code refactoring. It continues to drive innovation in software development, making thousands of programmers more productive every day. In addition to Java, IntelliJ IDEA includes various development tools for other prominent languages such as Ruby, Groovy, Scala, Python, JavaScript, Objective-C, PHP, and Kotlin.
We're now looking for a QA Automation Engineer to join the IntelliJ IDEA Java Build Tools QA team and help ensure the quality of a product that our customers and software engineers around the world rely on daily. Since most Java projects in IntelliJ IDEA are built with Maven or Gradle, Java Build Tools is a critical part of the IDE experience, and your work will affect how smoothly our users can open, sync, build, and run their projects. You'll work alongside QA engineers to design and set up our automation process for Gradle and Maven end-to-end tests, as well as implement and automate test scenarios that catch issues before they reach our users.
What you'll do
Core responsibilities:
Design, develop, and maintain multi-platform and environmental (Linux, Windows, MacOS, Docker, WSL) automated test scenarios.
Expand test coverage for new and existing functionality.
Debug and troubleshoot test failures.
Improve existing automation based on team feedback and reduce test flakiness.
Track quality metrics, including testing coverage, failure rate, and flakiness.
Contribute to frameworks and tools with product-specific extensions as needed.
Help the team monitor test execution results and investigate failures.
Participate in release quality assessments.
Collaborate with QA and developers to define test strategies.
Do manual QA activities when needed.
Participate in the test documentation creation.
Improve domain-specific test infrastructure and CI/CD pipelines within your team's scope.
Share automation best practices with the team.
Work with the tooling team to adopt new frameworks and practices.
What we're looking for
Required skills:
Proven experience in test automation.
Solid programming skills in Kotlin/Java.
Experience with test frameworks like JUnit or TestNG.
Familiarity with build tools, like Maven and Gradle.
An understanding of software testing principles and methodologies.
Familiarity with CI/CD tools (TeamCity or similar).
Experience with reporting tools (Allure or others).
Version control experience (Git).
Proficiency in spoken and written English.
Responsibility, self-discipline, and self-learning skills.
Strong teamwork skills.
The ability to work independently, creatively, and on your own initiative.
Nice to have:
Experience testing developer tools, IDEs, and desktop applications.
Familiarity with JVM Frameworks (Spring or Jakarta) and databases.
Why join JetBrains?
Strong base salary. We offer competitive pay that reflects your skills and experience.
Flexible work location. Enjoy the freedom to work from home or from the office.
Remote work. Spend up to 30 days per year working remotely from abroad.
Extra time off. More days to relax, recharge, and do the things you love.
Medical insurance allowance. Enjoy peace of mind for you and your family.
Learning and development opportunities. Access to conferences, courses, and language classes.
Relocation support. We help make your move as smooth and stress-free as possible.
Language classes. Pick up the local language or sharpen your English skills.
Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
Mental health support. To help you feel your best, we provide easy access to professional mental health services.
Sports benefit. Enjoy an on-site gym or sports club stipend.
Internal events. Join company-wide celebrations and team gatherings.
*Some benefits may vary depending on location.
#LI-DNI
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the
Recruitment Privacy Policy.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Enterprise Knowledge Work team builds the products that help enterprise knowledge workers collaborate deeply with Claude for major parts of their work.
Over the past year, AI has transformed how software engineering happens; for the rest of knowledge work, though, using AI still mostly means answering questions and producing first drafts — a small slice of the actual job.
We're building toward something bigger: people and agents working together on every core work objective, from first idea to finished product, and the recurring work of a team running with Claude in the loop instead of a person pushing every step. It's an enormous space, it's early, and no one has built it well yet.
You'll help decide what these products are, not just how they're built — the product questions are as open as the architecture ones — and you'll see your work land with real teams at the world's largest enterprises.
What you'll do
Own technical design and delivery for enterprise-facing core products, end-to-end across the stack
Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product, not just execute against a spec
Set technical direction and standards for your team: architecture, code quality, and how the team builds
Work directly with enterprise customers and sales during key conversations, translating what you learn into engineering priorities
Work closely with research to make the models better in your domain: shaping evals, surfacing failure modes, and feeding customer learnings back into model development
Mentor other engineers and raise the technical bar across the team, working with influence rather than authority
Build the core primitives that enable knowledge workers across industries and roles to meaningfully leverage Claude
You may be a good fit if you
Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level
Have led the design and delivery of complex customer-facing products across the full stack
Have built AI products and know what it takes to turn model capabilities into applications people actually use
Are comfortable working directly with enterprise customers and translating what you learn into technical decisions
Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on
Drive cross-team alignment to ship impactful work, with influence over authority
Strong candidates may also have
Experience working with research to improve domain-specific model capabilities, including evaluation frameworks
Experience as startup founders or early-stage employees
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Задачи:
— Проектировать и развивать весь рендер-пайплайн (PBR, HDRI/IBL, post-processing, tone mapping).
— Разрабатывать архитектуру render graph / pass system.
— Отвечать за GLB/material pipeline и систему материалов.
— Писать и оптимизировать шейдеры (WGSL / GLSL / TSL).
— Интегрировать 3D-движок в React + TypeScript приложение.
— Оптимизировать производительность, особенно на мобильных устройствах.
— Определять техническое направление и проводить code review.
Требования:
— Коммерческий опыт с vanilla Three.js (не R3F), включая WebGPU.
— Глубокое понимание WebGPU, WebGL2 и GPU pipeline.
— Уверенное владение шейдерами (WGSL / GLSL / HLSL / Metal).
— Практический опыт с PBR, HDRI/IBL, post-processing.
— Знание MRT, render targets, G-buffer, color management.
— Опыт профилирования GPU и оптимизации мобильной графики.
— Сильные навыки TypeScript, React и архитектуры приложений.
Будет плюсом:
— Render Graph.
— glTF/GLB optimization (Draco, meshopt, KTX2).
— Compute shaders, TAA, GPU-driven rendering.
— Open Source вклад в Three.js или WebGPU.
Условия:
— Полностью удаленный формат работы из любой точки мира.
— Технологически сложный продукт.
— Оплата профильного обучения, курсов (внешние и внутренние).
— Конкурентная заработная плата (по результатам технического интервью).
— Оплачиваемые отпускные дни: 36 дней в год.
— Оплачиваемые больничные.
— Приятные бонусы.
Location: Republic of Ireland (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity and we are looking for candidates from the UK, Sweden, Spain, Germany or Ireland.
About the role:
Grafana Cloud runs Mimir, Loki, Tempo and Pyroscope as multi-tenant SaaS databases across AWS, GCP and Azure in regions worldwide. Our highest-SLA customers depend on them to run their businesses. We’re looking for a Staff Software Engineer to keep these systems reliable at scale.
The role combines building and operating. You’ll write the software, automation and product changes that make our databases more reliable, including changes to the Mimir, Loki and Tempo codebases where reliability calls for it. You’ll also be on call for our highest-SLA customers and handle the operational work that comes with it. You’ll bring a production mindset to product engineering and engineering rigor to reliability, and you’ll set technical direction across squads.
What You’ll Do
Build reliability into the product.
Write production code in our services, tooling and the Mimir, Loki and Tempo codebases that makes our databases more resilient, self-healing and scalable as demand grows quickly.
Build automation and platform tooling
that removes toil and scales our reliability practices across regions and cloud providers.
Lead technical design.
Author design docs, review others’ designs and PRs, and shape feature design so it’s scalable and operable from day one.
Own the SLO framework.
Define and evolve per-tenant SLOs and reliability models. Use SLO burn and incident learnings to find and fix the causes of failure in the systems themselves.
Improve observability and alerting
so we find problems before customers do, and so escalations are actionable rather than noisy.
Be on call for our highest-SLA customers.
Act as a technical escalation point for complex customer environments. Lead customer-impacting incident response, including customer bridge calls when needed, and write blameless post-incident reviews that lead to engineering fixes.
Handle the operational work that comes from on-call.
This includes investigating customer escalations, following up on incident actions, tuning capacity and configuration, and turning recurring issues into permanent fixes or automation.
Multiply the team.
Mentor engineers, teach reliability practices that teams adopt early in development, and work with engineering leadership on roadmaps and product strategy.
We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!)
On-Call
Weekday on-call is 12-hour shifts, Monday to Friday, split between North America and Europe so you cover your local working hours. Weekends are covered by a separate 24-hour rotation. You’ll take a weekend roughly once every six to eight weeks.
What We’re Looking For:
8+ years of software engineering experience, including significant time building and owning distributed systems in production.
Strong production software skills, ideally in at least one object-oriented language. You write clean, tested code and can make targeted changes in large open-source codebases you didn’t write.
Deep understanding of distributed systems: performance, scaling and failure modes. You can reason about how a system will break before it does.
Experience running multi-tenant systems at scale on Kubernetes in AWS, GCP or Azure, with infrastructure-as-code tools such as Terraform, Helm or Jsonnet.
Hands-on experience designing and implementing SLOs.
Experience being on call for production systems. You troubleshoot calmly and methodically under pressure, and you’ve taken part in blameless incident response and written high-quality post-incident reviews.
Staff-level technical leadership: driving cross-team projects, setting technical direction and making the engineers around you better.
Working knowledge of Linux internals, networking and cloud storage.
Nice to Have:
Experience with Mimir, Loki, Tempo, Pyroscope, Prometheus or other observability and time-series databases.
Open-source contributions.
Customer reliability engineering (CRE) or customer-facing escalation experience.1
In Ireland, the Base compensation range for this role is €117,600 - €141,120. 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
.
#LI-Remote
#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.
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
.
MDiet — early-stage HealthTech стартап, разрабатывающий AI-powered платформу, которая помогает снижать количество повторных госпитализаций пациентов. Продукт ориентирован на рынок здравоохранения США. Возможна релокация в США при успешном росте компании, обсуждается индивидуально.
Tech Stack:
• LangGraph + LangChain / Agentic AI
• vLLM + Hugging Face
• PyTorch + PEFT / LoRA / QLoRA
• Vector databases: pgvector, Qdrant, Weaviate, Chroma, Pinecone
• Advanced RAG, Prompt Engineering, Embeddings
• FastAPI + PostgreSQL
• Docker + Kubernetes + async processing: Arq / Celery / Redis Streams
• Apache Airflow для data pipelines
• AWS Cloud: EC2, S3, SageMaker, Lambda, RDS, Bedrock
• Structured output: Outlines / Guidance / Instructor
• Evaluation & observability: Langfuse, RAGAS / DeepEval, Prometheus + Grafana
• MLOps practices
Задачи:
• Проектирование и разработка multi-step LLM agents и pipelines для обработки медицинских данных
• Разработка production RAG-систем с высоким уровнем grounding и качеством citation
• Деплой и оптимизация self-hosted LLM inference через vLLM с фокусом на cost и throughput optimization
• Fine-tuning open-source моделей на domain-specific medical data с измеримым улучшением результата
• Построение data pipelines и versioning для документов, embeddings и training data
• Создание evaluation frameworks, guardrails и систем контроля hallucinations
• Реализация reliable structured output и data extraction
• Тесное взаимодействие с physicians и Platform Architect
Требования:
• Сильный hands-on опыт с production LLM systems: RAG, agents, inference
• Опыт fine-tuning open-source LLMs: LoRA / QLoRA / PEFT, с измеримыми результатами
• Опыт построения data pipelines и versioning для LLM / RAG workloads
• Сильные навыки в evaluation, hallucination reduction и structured output
• Production Python + FastAPI + async processing
• Опыт с self-hosted inference: vLLM или аналогичные решения
• Опыт GPU optimization
• Английский язык на уровне C1: strong written and spoken communication skills
• Bachelor’s degree или выше в Computer Science, Artificial Intelligence, Machine Learning, Data Science или смежной технической области
• 5+ лет опыта в ML/AI
• 1.5–2+ года опыта в production LLM projects
• Опыт с MLOps
Будет плюсом:
• Опыт в medical / clinical NLP или regulated domains
• Cost modeling и optimization of LLM workloads
• MLOps и production fine-tuning pipelines
• Apache Airflow, Prometheus / Grafana или AI Solution Architecture
• Publications in relevant fields
Условия:
• Работа в early-stage HealthTech startup с продуктом для US healthcare market
• Возможность участвовать в создании AI-powered платформы с реальным влиянием на healthcare-процессы
• Офисный формат в Астане первые 7–9 месяцев, далее возможен hybrid/remote
• Зарплата $4 000 – $5 000 USD gross + equity
• Возможность релокации в США при успешном росте компании, обсуждается индивидуально
Location: New York, NY
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU’LL DO
We’re hiring a Commercial Counsel to be a core member of Sierra’s legal team. We are looking for someone who has deep expertise in commercial contracts, but also someone who is also eager to broaden their scope across IP, regulatory, and product. You will thrive in dynamic environments, enjoy tackling challenges beyond your comfort zone, and be excited to contribute across the business. In return, we’ll provide the support and opportunities you need to grow and excel as a lawyer. You’ll be part of a legal team that is highly respected within both the company and the broader legal industry—committed to excellence, collaboration, and making a meaningful impact.
- Commercial Contracting: Structure, negotiate and advise on all commercial contracts, including SaaS subscription agreements, technology licenses, professional services agreements, channel partner agreement, vendor agreements and NDAs. Commercial privacy and security contracting experience (e.g., DPAs, BAAs, security agreements) is a plus.
- Operational Excellence: Help build out our commercial function to be best in class. We aim to be the fastest and strongest, where the legal team is the differentiator in the contract lifecycle. You will be developing templates, playbooks, and workflows to drive efficiency and scalability.
- Expertise: Deep knowledge of practice areas that underpin the commercial practice, including contract law, IP and privacy. You will also want to work in AI and understand the nuances of law as it relates to AI, including the evolving regulatory frameworks. You will be expected to advise broadly on all contractual issues and be comfortable doing so.
- Teamwork: A team player first and foremost. Sierra is a unique place to work, with a strong sense of togetherness, and the legal team is no exception. You will look out for your colleagues, be accustomed to sharing and helping the team succeed.
- Judgement: Understand risk in the context of a hyperscaling business, have sound judgement and be strategic in your decision making. You will not be afraid to make judgement calls, and you will be empowered to do so.
- Approach: A strong work ethic with an eye for detail. You will strive for perfection, and expect that of others.
- Collaborate: Collaborate cross-functionally with Sales, Operations, and Agent Development teams to support revenue growth and strategic business initiatives.
WHAT YOU’LL BRING
- 2-6 years of legal experience, with a combination of both large law firm and in-house experience at a tech company.
- A strong background in negotiating and managing complex commercial contracts, preferably in SaaS, AI, or enterprise software.
- Strong communication skills (verbal and written) and the ability to partner with both legal and non-legal stakeholders.
- A proactive mindset and the ability to navigate ambiguity in a fast-paced, dynamic startup environment.
EVEN BETTER…
- Experience of privacy/regulatory frameworks and can advise on data processing agreements and security-related contract provisions.
- A passion for AI, with a deep understanding of AI products, LLMs and the related legal issues.
- Law firm experience at a top-tier, internationally recognized law firm.
- Experience working at a high-growth startup and operating with a sense of ownership.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: Russia; Belarus; Georgia; Kazakhstan; United Arab Emirates; Serbia
We are on the lookout for a sharp, early-career
C++ Developer / Junior Quant Dev
—ideally with a background in competitive programming—to join our collaborative and highly analytical engineering team.
Our culture is built around thoughtful, detail-oriented, and composed professionals who love optimizing complex workflows. Because the systems you build will directly drive our core business outcomes, we need someone who couples technical talent with strong accountability and great communication skills. If you thrive in fast-paced environments with rapid feedback loops and highly visible results, you will feel right at home here.
What You’ll Do
Optimize Execution:
Implement high-performance trading algorithms, masterfully balancing raw execution speed with long-term code maintainability.
Collaborate Internationally:
Partner closely with our Quantitative Research team to translate mathematical models into production-ready technical solutions.
Write Advanced Code:
Architect robust, asynchronous, multi-threaded, and network-centric systems utilizing advanced C++ templates.
Requirements
Algorithmic Excellence:
A rock-solid foundation in data structures and core computer science principles (a proven track record in competitive programming is highly preferred).
Core Language Skills:
Practical engineering experience using C or C++.
System Familiarity:
A strong conceptual understanding of Linux OS internals and networking.
Global Communication:
Fluency in professional English (written and spoken) to seamlessly integrate into our international workspace.
Hands-on exposure to sub-microsecond, ultra-low latency real-time engineering.
Experience with lock-free concurrency paradigms and data containers.
Familiarity with GPU programming via CUDA.
Benefits
High-Impact Challenges:
Engage with complex technical puzzles featuring instantaneous feedback loops.
An Elite Global Team:
Work alongside a welcoming, brilliant community of international professionals.
State-of-the-Art Infrastructure:
Gain access to cutting-edge hardware and the latest tech stacks.
Ultimate Flexibility:
Work 100% remotely from anywhere on the planet, with open-door access to any of our physical global offices whenever you choose.
Unbeatable Work-Life Balance:
Enjoy flexible working hours and a generous
40 days of paid annual leave
.
Premium Compensation:
A highly competitive salary package tailored to your skills and market standards.
УдалённоjuniorRussia; Belarus; Georgia; Kazakhstan; United Arab Emirates; Serbia
Location: Belarus; Serbia; Georgia; United Arab Emirates; Kazakhstan
We are hunting for a talented
C/C++ Software Engineer
who genuinely loves
working with complex data
feeds and isn't intimidated by high-stakes technical hurdles. In the world of quantitative trading, data is our lifeblood—meaning our quality standards are incredibly high and the volume of incoming data is massive.
This role isn't just about writing code; it's about navigating intricate edge cases and mastering one of the most demanding layers of our engineering infrastructure. If you are someone who enjoys diving deep into technical documentation, obsesses over the details, and takes immense pride in robust engineering, you will thrive here.
What will you do:
Expand Exchange Connectivity:
Build and integrate robust gateways to connect with new financial exchanges globally.
Optimize Performance:
Fine-tune existing data connectors to minimize ingestion latency and maximize data throughput.
Evolve Data Models:
Implement support for new and emerging data structures and asset types within our data pipeline.
Refactor for Scale:
Modernize and re-architect existing solutions to ensure our infrastructure effortlessly scales alongside growing market volumes.
Requirements
Modern C++ Expertise:
Strong hands-on experience writing clean, efficient code using modern standards (
C++17/20
).
High-Throughput Architecture:
A proven track record of managing, parsing, and processing massive streams of incoming real-time data.
Concurrency & Hardware Savvy:
A deep understanding of multithreaded programming, concurrent systems, and CPU memory models.
Networking & Systems Mastery:
A solid grasp of network protocols, communication layers, and Linux system internals.
CS Fundamentals:
Strong foundational knowledge of core algorithms and data structures.
Global Collaboration:
A professional level of written and spoken English to seamlessly partner with our international team.
Deep expertise in ultra-low latency, sub-microsecond real-time development.
Prior engineering experience in High-Frequency Trading (HFT), telecom routing, or high-performance game engines.
Benefits
Immediate Impact:
Dive into fascinating technical problems featuring ultra-fast feedback loops.
Elite Global Network:
Collaborate with a welcoming, exceptionally brilliant team of international professionals.
Top-Tier Infrastructure:
Gain access to state-of-the-art hardware and cutting-edge technological innovations.
Ultimate Work Freedom:
Work 100% remotely from anywhere on Earth, with full open-door access to any of our physical global offices whenever you like.
Premium Perks:
Enjoy a flexible schedule, an industry-leading
40 paid days off
, and a highly competitive compensation package.
Location: San Francisco, California
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What’s the opportunity?
As an Enterprise Business Development Representative, you will play a critical role in driving revenue growth for the Fin Sales organization through strategic pipeline generation within our enterprise segment. Based in our San Francisco office, you will be at the forefront of Fin’s expansion across North America, engaging with senior stakeholders at large, complex organizations and helping them see how Fin can transform their customer experience.
We invest in our BDRs. We strongly believe in giving our team the opportunities to grow & develop at Fin, to push themselves outside of their comfort zones to achieve goals they never thought possible. In joining the Business Development team at Fin, you join a community that believes in development and promotion from within. We’re looking for people who are excited to work in a fast-moving company, make an impact, and rapidly develop their career in enterprise sales.
As a BDR team, we empower one another to achieve our goals, exceed expectations and continue to deliver real business impact. We’re looking for a teammate to do the same!
What will I be doing?
Owning and prioritizing a named book of enterprise accounts (2,000+ employees) in partnership with Enterprise Account Executives across North America
Generating new business pipeline through high-quality, multi-threaded outreach across phone, email, LinkedIn, and events, targeting multiple stakeholders within the same account
Engaging senior and executive-level buyers (VP, C-Suite) with relevant, insight-led messaging tailored to their business and industry
Running account-based prospecting strategies — not just single-prospect outreach — building a view of the full buying group before engaging
Providing a best-in-class experience for Fin’s prospective enterprise customers throughout the outbound process
Maintaining deep knowledge of Fin’s product, enterprise use cases, and market positioning
Partnering with Enterprise AEs to align on account strategy, territory planning, and pipeline reviews
Working cross-functionally with Marketing, Sales Operations, and Product to improve processes that directly impact enterprise pipeline generation and conversion
Engaging in team development and mentoring of newer BDR teammates
What skills do I need?
Strong desire to build a career in sales, with a goal of growing into an Account Executive or senior closing role
1+ year of customer-facing work experience (Sales and/or SaaS experience is a +); enterprise experience strongly preferred
Enterprise Prospecting Skills
Knows how to run account-based outreach: researching a target account, mapping the buying group, and building a multi-thread strategy before outreach — comfortable engaging VP and C-level contacts across complex organizations
Operational Excellence
Manages a large account list effectively; knows how to prioritize activity to drive the most pipeline and maintains strong CRM hygiene
Market & Industry Knowledge
Brings solid knowledge of the enterprise SaaS landscape and Fin’s key verticals; stays on top of industry news and uses it to sharpen outreach
Communication
Crafts compelling, concise messaging for executive audiences across channels and personas; listens effectively and works closely with their AE
Growth Mindset
Self-aware, with a clear sense of strengths and areas for growth. Sees every day as an opportunity to be 1% better. Proactively seeks feedback.
Results Oriented
Brings a never-settle approach to quota, progression, and team development. Motivated to succeed and raise the bar for those around them.
Bonus skills & attributes
Bachelor’s Degree preferred
Familiarity with these systems and tools: Salesforce (SFDC), Outreach, 6sense, ZoomInfo, LinkedIn Sales Navigator, Cognism
*Proof of eligibility to work in the United States is required.
The pay range for candidates within the San Francisco Bay Area is $41.96 - $53.23 per hour, along with incentive compensation ranging from approximately $27,810 - $33,218. For full-time employment, the estimated all-in annual compensation range (OTE) is $87,287 - $110,725. Actual hourly rate will depend on a variety of factors such as education, skills, experience, location, and other relevant considerations. The hourly pay rate and incentive compensation is subject to change and may be modified in the future. This range is a good faith estimate only; actual compensation will vary based on hours worked and individual and company performance. This is a non-exempt, hourly position, and employees in this position are therefore eligible for overtime compensation in accordance with applicable law. All regular employees may also be eligible for the corporate bonus program or a sales incentive, as well as stock in the form of Restricted Stock Units (RSUs).
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Canada (Remote)
United States (Remote)
Hybrid - San Francisco, New York City, London
San Francisco, CA | Seattle, WA
United States; We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications; We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics
