Location: Limassol
Workplace: OnSite
HyperHug is an international game development studio specializing in the shooter genre. Our main office is based in Cyprus, but our talented team works remotely from around the world. We’re developing Oxide: Survival Island, an immersive multiplayer survival shooter for mobile platforms, and we’re always looking for motivated individuals who want to grow with us, contribute their creativity, and help shape the future of our games.
We are looking for a Lead User Acquisition Manager, who will take full ownership of the UA strategy and execution, including building and scaling UA processes, managing performance marketing channels, and driving sustainable growth.
WHAT YOU’LL BE DOING:
- Build and scale the User Acquisition process for our flagship game Oxide: Survival Island.
- Plan, launch, and optimize user acquisition campaigns across multiple channels, taking full hands-on responsibility.
- Own campaign analytics: track performance and work with key metrics.
- Define requirements and briefs for ad creatives and evaluate their performance.
- Continuously test new hypotheses, channels, and approaches to improve efficiency and scalability.
- Prepare regular performance reports and insights for stakeholders.
WHAT WE EXPECT FROM YOU:
- Solid UA experience in mobile products - mobile games or applications (3-5+ years).
- Experience building UA processes from scratch.
- Deep understanding and experience with the USA and LATAM markets.
- Extensive experience with Google Ads, AppLovin, Meta, Unity Ads.
- Strong analytical mindset and confidence working with data and predictions.
- Ability to provide actionable feedback on ad creatives, including concepts, formats, and messaging.
- Fluent English is a must; fluent Russian is a strong plus.
WHAT WE OFFER:
- Full ownership of UA strategy and execution.
- Relocation support to Cyprus (Limassol), including visa and housing assistance (this is an on-site position).
- Competitive salary.
- Monthly lunch allowances via Wolt.
- Health benefits - comprehensive medical insurance and SportBenefit membership.
- Car rental.
- Greek lessons.
- School fee contribution for children.
- A passionate and supportive team that values creativity and ownership.
- Opportunities for professional growth.
- A culture built on initiative, transparency, and collaboration.
ОфисleadRelocation support to Cyprus (Limassol), including visa and housing assistance (this is an on-site position)
Location: Merlimau, Melaka, Malaysia
Bradken
is a leading solutions provider and global manufacturer of innovative, custom-engineered products for the resources sector. With a workforce of more than 3,000 employees, our ability to adapt and evolve keeps us firmly positioned as global leaders in the wear solutions market.
About the role
Bradken is seeking a Metallurgist to support metallurgy, quality and process control at our Merlimau manufacturing facility.
This is role is suited to someone who has developed a solid foundation in foundry operations and is ready to take greater ownership of day-to-day technical decisions.
Reporting to the Technical Lead, you will work closely with production and technical teams across melting, heat treatment, inspection and product quality.
It offers the opportunity to deepen your foundry expertise while contributing directly to product quality, manufacturing performance and continuous improvement.
What You Will Do
Monitor and provide technical support for melting, heat treatment and other metallurgical processes.
Review inspection and test results to determine whether products meet customer and specification requirements.
Prepare material test certificates, inspection records and technical documentation.
Investigate non-conformances and product failures, identify likely causes and recommend practical corrective actions.
Work with production teams to resolve quality issues without compromising safety or technical standards.
Support material selection, process changes and improvements to existing products.
Help improve manufacturing cost and performance through better metallurgical control and problem-solving.
Maintain quality procedures, process controls and relevant Quality Management System requirements.
Ensure testing and inspection equipment remains calibrated and fit for use.
Communicate quality findings clearly to production, technical and sales stakeholders.
Participate in Gemba, 5S, safety activities and continuous improvement initiatives across the site.
What You Will Bring
A degree in Metallurgy, Materials Science is essential
At least three years of relevant experience in a foundry, metals manufacturing or similar environment.
Working knowledge of melting, heat treatment, metallurgy and material properties.
Experience supporting process control, product inspection, quality investigations or non-conformance analysis.
Ability to interpret technical requirements and prepare clear reports, procedures and test documentation.
A structured approach to problem-solving and the confidence to make sound technical recommendations.
Good communication skills and the ability to work effectively with production teams in a hands-on plant environment.
Exposure to Lean Manufacturing, Kaizen, Six Sigma or similar improvement methods would be useful.
Current legal right to work in Malaysia.
Based in Merlimau or within practical commuting distance, with the ability to attend the Merlimau site daily.
What Will Help You Succeed
You will be practical, analytical and comfortable working in a hands-on manufacturing environment. You can build effective relationships with production and technical teams, investigate issues thoroughly and communicate clear recommendations.
You take ownership of your work, use sound judgement and remain focused on improving quality, process performance and customer outcomes.
Why join us?
Bradken is committed to providing a safe, inclusive and collaborative workplace where people are encouraged to challenge existing thinking and develop better solutions.
We offer:
Safety first environment and mindset
Flexible work options
Competitive Total Reward Packages
EAP for you and your family
How we hire
:
About Our Screening Process
As we work with teams around the world, time‑zone differences can make live screening challenging. To support a fair, consistent, and inclusive evaluation,
we may invite candidates to complete a one‑way video screening
at a time that suits them.If you require adjustments or an alternative format, we’re happy to discuss this.
Before commencing employment
, you will be required to complete a psychometric assessment and a pre-employment medical, including drug and alcohol testing.
We respectfully request no recruitment agency approaches.
Bradken is an Equal Opportunity Employer. We are committed to providing a diverse, inclusive, engaging and flexible environment for our people. All employment decisions are based on merit, competence, performance and business needs.
Location: Lagos, Nigeria
Who We Are
We’re a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience.
The Role
The Java Developer will join one of our core engineering teams Banking, Loans, Core Technology Platform, or Cards to design, develop, and maintain the backend systems that power our financial products and internal platforms.
This role is ideal for a software engineer who is passionate about backend development, software craftsmanship, and building scalable, high-performance systems. You'll work alongside talented engineers in a collaborative environment that values clean architecture, code quality, testing, observability, and continuous improvement.
What You Will Do
• Design, develop, test, and maintain backend applications using Java and Spring Boot.
• Build scalable, secure, and high-performing backend services that support business-critical financial products.
• Develop and maintain RESTful APIs and microservices.
• Write clean, maintainable, and production-ready code with a strong focus on • reliability and performance.
• Collaborate with Product, Engineering, Infrastructure, and QA teams throughout the software development lifecycle.
• Participate in architecture discussions, code reviews, and technical design sessions.
• Monitor, troubleshoot, and optimize application performance.
• Build and support distributed systems using modern cloud-native technologies.
• Implement messaging and event-driven solutions using Kafka.
• Contribute to engineering best practices, automated testing, and continuous improvement initiatives.
Requirements
What You Bring
Educational Qualification
• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline.
Experience
• Proven experience developing backend applications using Java.
• Strong experience with Spring Boot or similar Java frameworks.
• Experience building and maintaining distributed systems in production environments.
• Experience working in cloud-native environments is highly desirable.
• Experience in FinTech, banking, payments, lending, or other financial services is an added advantage.
Professional Competencies
• Strong proficiency in Java.
• Solid experience with Spring Boot.
• Experience developing RESTful APIs and microservices.
• Working knowledge of AWS, preferably Amazon EKS.
• Experience with MySQL or other relational databases.
• Experience with Kafka and event-driven architectures.
• Knowledge of Redis caching technologies.
• Familiarity with monitoring and observability tools such as Grafana and Prometheus.
• Understanding of software design principles, testing methodologies, and engineering best practices.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
This Role Is Ideal For You If:
• You enjoy building scalable backend systems.
• You take pride in writing clean, maintainable, and well-tested code.
• You are passionate about software engineering best practices and continuous improvement.
• You enjoy solving complex technical problems.
• You thrive in collaborative, fast-paced engineering teams.
• You are excited by the opportunity to build products that power millions of financial transactions.
You May Not Enjoy This Role If:
• You prefer front-end or UI-focused development.
• You are uncomfortable working with distributed systems and cloud technologies.
• You dislike code reviews, testing, or maintaining production systems.
• You prefer highly isolated work with minimal collaboration.
• You are not interested in building reliable, scalable software.
Benefits
What's In It For You
• Opportunity to work in an innovative fintech company with a global reach.
• Exposure to modern technologies including Java, Spring Boot, AWS (EKS), MySQL, Kafka, Redis, Grafana, and Prometheus.
• Opportunity to contribute to high-impact financial products used by millions of customers.
• Collaborative engineering culture focused on technical excellence and continuous learning.
• Engaging technical challenges with opportunities to influence product development.
• Professional growth within a globally distributed engineering team.
• Competitive compensation and excellent career development opportunities.
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
192,891
- CAD
231,469
. 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
189,374
- USD
227,249
. 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: 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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: Boston, Massachusetts, United States
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Job Overview
The Senior Manager, Consumer Insights will serve as a core partner and consumer advocate for Hasbro’s Global Play and Commercial teams, focusing on the Action Brands, Fashion, and Preschool portfolios, with responsibility for brand and franchise strategies, product innovation, and go-to-market planning. This individual brings wide-ranging and well-developed skills in quantitative and qualitative primary research, secondary data review, project oversight, and a consultative approach. You will take initiative in shaping research priorities, addressing issues, proposing recommendations, and promoting the use of insights with stakeholders.
We want someone enthusiastic about Hasbro’s brands and curious about what drives consumer behavior. Joining the Consumer Insights team, you will have the opportunity to represent the consumer’s perspective. You will boldly apply data and insights to support teams in enhancing business decisions that expand our brands and introduce winning products.
Location and Work Arrangement
This role is based at our Boston, MA, United States office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays.
What You'll Do
Act as the consumer advocate within the Action Brands, Fashion, and Preschool portfolios, guiding brand strategy, product development, forecasting, entertainment planning, and marketing decisions.
Working with the Director, prioritize business questions and requests across audience, category, brand, entertainment, product, creative, and commercial needs.
Proactively develop and deliver insights agendas aligned to strategic brand goals, development gates, commercial milestones, and go-to-market planning.
Develop and coordinate many custom and standardized research programs, such as foundational consumer learning, audience segmentation, brand tracking, product and package testing, messaging and campaign testing, and purchase journey research. Present findings through research reports and offer strategic advice to brand and creation teams.
Provide strategic storytelling and presentations that scale up to senior levels, distilling complex consumer findings into clear, compelling narratives that drive confident business decisions.
Champion the adoption of AI-powered research and insights tools across the insights team. Actively experiment with new approaches, build proficiency in AI-assisted synthesis, analysis, and storytelling. Help the team adopt new AI-enabled ways of working.
Model standards for quality and actionability in research plans and deliverables. Provide guidance and mentorship to junior team members. This role does not have direct people management responsibilities.
Confidently advocate for the consumer perspective and decisions based on insights. Share a clear, evidence-based point of view with collaborators, even when it challenges conventional thinking or the current direction.
What You'll Bring
At least 10 years of relevant experience, or equivalent demonstrated experience, in consumer insights or market research, ideally including several years working with children's or fan products, entertainment, and/or gaming.
Extensive knowledge in quantitative and qualitative insights techniques, such as segmentation, product testing, volumetrics, creative asset evaluation, and purchase journeys.
Outstanding skill in crafting engaging stories using data and insights, General Manager (GM)-level presentations.
Experience translating advanced analytics into insights – e.g., choice modelling, segmentation, driver analysis, price elasticity – with support from vendor partners and Analytics, Insights and Measurements (AIM) peers.
Strong problem diagnosis and definition skills.
Excellent prioritization and project oversight capabilities.
High-level analytical and critical thinking skills.
Excellent interpersonal, written, and verbal communication skills.
Proficiency with Microsoft Office 365 tools and navigating Power BI dashboards.
Passion for the toys & games category.
BA/BS or equivalent experience required, preferably in social sciences, marketing/market research, or a related field.
What Sets You Apart
An MBA, other advanced degree, or additional education in consumer insights or analytics; equivalent experience will also be considered.
Who We Are
We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all.
Hasbro
About the Company – Hasbro
Wizards of the Coast
Who We Are – Wizards of the Coast
Equal Opportunity
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
Accommodations
If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process.
Notice Regarding Hasbro’s use of AI in the Recruitment Process
We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.
How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review.
Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions.
Greenhouse has published the results of an independent bias audit of Talent Matching.
View the Greenhouse Talent Matching audit results
.
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
$134,200
—
$201,300 USD
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
As a Mechanical Engineer II on the Hardware NPI Team at WHOOP, you will contribute to the design and development of WHOOP’s innovative hardware solutions - rechargeable energy accessories. You thrive in a fast-paced, execution-driven setting and can drive creative mechanical design solutions with independence and sound technical judgement. You’ll work alongside a multidisciplinary team of engineers and designers to help bring innovative concepts to life, supporting prototyping, mechanical design, and testing efforts. You will work closely with our suppliers and contract manufacturers around the world to execute engineering validation builds with a focus on high quality deliverables, sharp engineering risk management, clear technical communication upwards and externally, and commitment to product excellence. This is a great opportunity for an engineer with a solid technical foundation to grow their skills in a dynamic, fast-paced environment while contributing to impactful projects in early-stage product development. WHOOP operates with urgency because our mission demands it. We build products for people who push their limits—and we hold ourselves to the same standard. If you’re energized by complex challenges, cross-functional collaboration, and the opportunity to ship hardware at scale, this role will push you—and reward you.
RESPONSIBILITIES:
- Own critical parts of the next generation Whoop Hardware Products
- Design, prototype, and test complex mechanical components around microelectronics, meeting stringent technical, performance, and industrial design requirements to guide projects from concept through manufacturing release.
- Develop and present multiple design solutions for novel and complex technical challenges, articulating them clearly to cross-functional teams and documenting design process and specifications thoroughly.
- Generate technical documentation such as 3D files, 2D drawings, bills of material (BOM’s), and Engineering Change Orders (ECO’s) following product development cycle timeline
- Communicate engineering requests and changes to vendors and contract manufacturers as the product development cycle progresses
- Support planning and execution of verification and validation plans, leveraging design of experiments (DOE) methodologies to drive understanding, uncover insights, and deliver actionable results that enhance product quality, performance, and manufacturability.
- Support and perform thorough engineering root cause analyses to identify and resolve issues
- Collaborate with senior engineers to evaluate new technologies and manufacturing methods.
- Up to 20% travel to contract manufacturers and suppliers internationally
QUALIFICATIONS:
- Bachelor’s degree in Mechanical Engineering or related field.
- 2+ years of experience in the design of complex mechanical products, preferably for consumer electronics, wearables, or medical devices.
- Experience with SolidWorks CAD best practices, including advanced assemblies, complex surfacing, configuration management and applying DFx feedback.
- Hands-on experience in operating and maintaining rapid prototyping tools to craft proof-of-concept models.
- Strong communication skills and comfort working with cross-functional teams and external partners.
- Experience in high-quality consumer electronics or wearable technologies preferred.
- Familiarity with validation testing methods and statistical analysis tools preferred.
- Experience with high-volume manufacturing processes (e.g., injection molding, sheet metal design, metal injection molding) and manual assembly preferred.
- Working experience in a fast-paced or startup environment preferred.
- A passion for health, or wearable technologies; and designing human-centered solutions in this space.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $110,000-$150,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is looking for a Senior Mechanical Engineer to lead critical design, validation, and development for next generation biometric wearable products. You are a proactive, highly organized engineer with strong problem-solving skills and a sharp eye for detail. You thrive in a fast-paced, execution-driven setting and can drive creative mechanical design solutions with independence and sound technical judgement. You will mentor junior mechanical engineers and collaborate with cross-functional stakeholders (Electrical Engineering, Embedded Engineering, Manufacturing, Product, and Program Management). You will work closely with our suppliers and contract manufacturers around the world to execute engineering validation builds with a focus on high quality deliverables, sharp engineering risk management, clear technical communication upwards and externally, and commitment to product excellence. WHOOP operates with urgency because our mission demands it. We build products for people who push their limits—and we hold ourselves to the same standard. If you’re energized by complex challenges, cross-functional collaboration, and the opportunity to ship hardware at scale, this role will push you—and reward you.
RESPONSIBILITIES:
- Complete technical ownership (at subsystem and component level) of a next generation product from design concept to manufacturing release
- Lead mechanical design, analysis and development of mechanical components around micro-electronics, and exact industrial design specifications, product requirements, and manufacturing constraints.
- Create SolidWorks CAD models to bring up design concepts that enable simulation exercises, prototyping, and mass production qualification
- Generate technical documentation such as 3D files, 2D drawings, bills of material (BOM’s), and Engineering Change Orders (ECO’s) following product development cycle timeline
- Communicate engineering changes to vendors and contract manufacturers as the product development cycle progresses
- Design testing protocols and validation plans, managing testing processes
- Perform thorough engineering root cause analyses to identify and resolve issues
- Mentorship, engineering best practices
- Willingness to travel internationally up to 20% of the time
QUALIFICATIONS:
- BS or MS in Mechanical Engineering or a related field
- 4+ years of experience in the design, documentation and validation of complex mechanical parts for medium to high volume consumer electronics
- 4+ years SolidWorks CAD experience with best practices for part design/ feature architecture, advanced assemblies, complex configuration management and integrating DFx feedback efficiently
- 2+ years working with Tier 1 and 2 contract manufacturers in Asia and North America
- Extensive experience in mechanical design concepts and the manufacture of products utilizing high volume, automated manufacturing processes as well as manual assembly
- Well-versed in design, prototyping, and evaluation of advanced injection molded plastic components, die castings, metal injection molding, packaging, and material selection
- Strong organization and communication skills and the ability to work well within teams in a fast-paced environment
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $140,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: Renton, WA
As a full-service engineering, design, and construction services firm, Mi-Tech delivers comprehensive support for utility and infrastructure projects from planning and design through execution. Our multidisciplinary team provides practical, innovative solutions that emphasize cost efficiency, constructability, and long-term value. Founded in 1985, Mi-Tech has built a reputation for excellence in engineering, design, environmental, laboratory, technical, and field services across multiple industries. The 2026 merger with J.D. Hair & Associates further strengthened our capabilities and resources, adding decades of specialized expertise in trenchless, geotechnical, and structural engineering to our core offerings. As a proud member of the Michels Family of Companies, Mi-Tech collaborates with an internationally respected team to deliver integrated, end-to-end engineering, design, and construction solutions that meet the highest standards of quality and performance.
In your role as an Engineering Geologist at Mi-Tech, you’ll perform field explorations, collect samples, geologic reconnaissance, mapping, and preparing field reports. You will organize laboratory data, conduct/ review limited soil index property laboratory testing and report data. You will interpret data, prepare geological subsurface logs, profiles, design cross-sections, profiles, and assist in preparation of design reports.
This position combines hands-on field investigations with office-based geological interpretation, data analysis, and technical reporting. Field assignments may require travel to active construction and exploration sites throughout the United States.
Why Mi-Tech Services Inc.?
We are committed to hiring the best people and giving them the best equipment.
We are dedicated to improving energy distribution & telecommunication services that serve and improve the communities around us.
Our steady, strategic growth revolves around a commitment to quality. If it’s worth doing, it’s worth doing right.
We are family owned and operated. We work to see each other succeed, not to increase a stock market valuation.
We invest an average of $5,000 per employee on training each year. We want each of our team to learn and grow.
We believe everyone is responsible for promoting safety, regardless of job title. We are our brothers’ and sisters’ keeper.
We are a part of the Michels Family of Companies – one of North America’s largest, most diversified energy and infrastructure construction companies.
Why you?
You like to surround yourself with dedicated, genuine, value-driven people.
You are up to new challenges and opportunities. You like to learn and try new things.
You cringe when you hear: “Because that’s the way we’ve always done it.”
You like to know your efforts are noticed and appreciated.
You believe that individual commitment to a group effort is key to success.
You want your work to make a tangible difference in people’s lives.
What It Takes
BS and/or MS Degree in Geology or Engineering Geology.
Minimum of 2 years of professional geology experience, preferably involving geotechnical subsurface investigations and field exploration.
Professional Geologist (PG) license, Geologist-in-Training (GIT) designation, or demonstrated progress toward professional licensure preferred.
Experience in geologic interpretation using soil and rock samples retrieved from explorations, soil classifications.
Experience with application to geotechnical engineering practice is a plus (rock mechanics experience a plus)
The ability to work independently with the appropriate level of minimal supervision.
The willingness and ability to travel to support project needs.
A valid driver license and insurable driving record.
Basic computer skills: MS Word, Excel (required); RSLog (geotechnical borehole logging, or similar), MS Access (desirable).
Frequent sitting, standing, walking, bending, lifting, and carrying 50+ pounds.
Working in all weather conditions, on uneven terrain.
The ability to travel (drive or fly) to field sites per project needs and job sites locally and across the United States.
This information reflects the anticipated base salary for this position based on current market data. Minimums and maximums may vary based on location. Actual pay will be adjusted based on individual’s skills, experiences, education, and other job-related factors permitted by law.
Expected Salary Range
$44
—
$62 USD
AA/EOE/M/W/Vet/Disability
https://www.michels.us/website-user-privacy-policy/
Location: Paris; London
Workplace: Hybrid
TL;DR: Multimodal ML Engineer to train and ship vision, audio, video, and speech models for an AI safety platform handling 100M+ API calls/month.
About us
White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale.
- We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others
- We process over 100M+ API calls every month
- We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model
We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.
You will
- Train and fine-tune large-scale multimodal models (vision-language, audio, speech) from scratch and from pretrained checkpoints
- Extend models across modalities: image understanding, video temporal modeling, long-context processing, and streaming audio
- Design and run experiments: architecture changes, data mixes, training recipes
- Build and maintain multimodal data pipelines — from raw images, video, and audio recordings to training-ready datasets, including synthetic data generation
- Train and optimize MoE architectures for efficient multimodal inference
- Build alignment pipelines: SFT, DPO, GRPO, reward modeling — across modalities, not just text
- Optimize models for production: quantization, distillation, batching, streaming and low-latency serving
- Deploy models end-to-end: from research checkpoint to production serving
- Define evaluation metrics and benchmarks that actually matter for the product: visual QA, spatial reasoning, video comprehension, speech and audio understanding
You’ll fit right in if you
- 3+ years training large-scale deep learning models in multimodal domains (vision-language, audio, speech, or acoustic)
- Strong PyTorch skills with hands-on distributed training experience (DeepSpeed, FSDP, or similar)
- Deep experience with multimodal architectures — you understand how vision/audio encoders, projectors, and LLMs fit together (LLaVA, Qwen-VL, InternVL, Audio Flamingo, Omni Qwen, Audio Qwen, Whisper, HuBERT, Conformer, or similar)
- Hands-on with RLHF/alignment for multimodal: GRPO, DPO, reward modelling — not just for text
- Experience with video and/or audio sequence modelling: temporal modelling, long-context processing, efficient attention, streaming inference
- Track record of shipping models to production: you've hit latency targets and optimized inference, not just reported benchmark scores
- Comfortable with large-scale multimodal dataset curation: image-text pairs, video-instruction data, audio preprocessing, augmentation, synthetic data generation
- Familiar with MoE architectures and their trade-offs for multimodal workloads
- Strong engineering fundamentals: clean code, version control, testing, documentation
A big plus
- Understanding of audio signal processing fundamentals (spectrograms, mel features, noise reduction)
Why White Circle
- Competitive compensation package, including equity
- Flexible time off
- Paid time off in line with your local regulations, no matter where you work from
- Work from Paris or London (hybrid) + relocation package for Paris
- Best medical insurance in France
- Learning and development support for courses, conferences, and opportunities to grow your skills
- All the hardware, tools, and services you need
- Covered subscriptions for AI agents and IDEs
- Team off-sites twice a year: we’ve recently been to the Alps and to Saint-Tropez
Process
1. Introductory call with HR (25 min)
2. Take-home test assignment
3. Technical interview with Head of Applied Research (60 min)
4. Final conversation with CEO (45 min)
Location: Paris; London
Workplace: Hybrid
TL;DR: We are looking for several ML Engineers to train, post-train, and evaluate the LLMs at the core of our platform. This is hands-on modern model training work: large-scale data pipelines, SFT/RLHF/DPO-style alignment, reward models, distributed multi-GPU training, and evaluation.
About us
White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale.
- We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others
- We process over 100M+ API calls every month
- We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model
We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.
What you’ll do
- Turn petabytes of unstructured text into a structured, explorable view (topics, clusters, segments, trends, anomalies): iterate from “unknown unknowns” to stable definitions we can track.
- Build scalable representation pipelines: sampling strategies, preprocessing/normalization, embeddings at scale, indexing, and retrieval to make the corpus searchable and analyzable.
- Use LLMs pragmatically: labeling/classification, weak supervision, data enrichment, summarization, and automated diagnostics of inbound volumes (with cost/quality controls).
- Deliver insights that change decisions: translate findings into product and operational actions (what data we have, what’s missing, where quality breaks, what to prioritize next).
- Ship self-serve analytics: datasets, data models, and lightweight tools/dashboards so the team can explore and answer questions without ad-hoc requests.
- Partner closely with engineering/research: align pipelines with production constraints (latency/cost/privacy), and integrate outputs into workflows.
You'll fit right in if you
- Have strong Python + SQL with an engineering mindset: you can build reliable pipelines, not just notebooks.
- Have solid applied NLP/ML experience on real-world text: embeddings, clustering, topic modeling, semantic search, classification; you understand failure modes and how to debug them.
- Are comfortable at scale: distributed processing, large-scale storage-querying, and performance-cost tradeoffs.
- Know how to evaluate fuzzy problems: offline/online metrics, human-in-the-loop labelling, inter-annotator agreement, drift monitoring, and reproducibility.
- Have prior work with safety/moderation datasets, policy/rule systems, or high-volume logging/observability
A big plus
- A public builder footprint: open-source models, datasets, or training frameworks on HuggingFace/GitHub, benchmarks, papers (workshop or main conference), or technical posts with real usage
- Experience training models at a frontier or near-frontier lab, or leading open-source model releases with documented adoption
- Experience with RL methods for LLMs beyond standard RLHF: online RL, GRPO-style methods, or novel alignment approaches
- Experience with moderation, safety, or classification models at scale
- Multilingual model training experience
Compensation & benefits
- Competitive compensation, including equity
- Flexible time off
- Office in central London/Paris with flexible hybrid setup
- Relocation support if you’re moving to Paris, available after your probationary period
- Premium private health insurance
- Mental health support, including coverage for therapy when you need it
- Lunch and dinner covered when you work from the office
- Learning and development support for courses, conferences, and opportunities to grow your skills
- All the hardware, subscriptions, tools, and services you need
- Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella
Process
1. Intro call with Talent Team
2. Test assignment
3. Technical interview with Head of Applied Research
4. Final conversation with CEO
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: Austin, TX - Hybrid
About the team
The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company. We design and operate large-scale data systems, own the company’s data lake, ingestion infrastructure, and platform tooling, and develop end-to-end applications that transform complex datasets into fast, reliable, business-critical products used daily by go-to-market, product, and engineering teams. Our work sits at the intersection of data platforms, distributed systems, and product development, giving engineers the opportunity to own meaningful problems across the stack and build systems that truly run the business.
About the role
We are looking for a visionary and hands-on Lead Machine Learning Engineer to join our Austin team. In this role, you will be the principal architect behind the next generation of our unified AI/ML platform, designing and building the infrastructure that powers everything from traditional predictive models to generative AI, large language models (LLMs), and autonomous agent frameworks.
You will own the end-to-end technical strategy, blueprint, and execution of scalable backend services and data pipelines that support AI-driven applications across go-to-market, engineering, and product teams. Because our products are initiated and owned entirely within the team, you will drive the vision from initial requirements and system design to global deployment, optimization, and long-term evolutionary ownership.
What you'll do
Architect and evolve a highly scalable, multi-tenant AI/ML platform that seamlessly unifies traditional ML (classification, regression, forecasting) and Generative AI/LLM orchestration.
Design and implement robust production-grade AI Agents and Advanced Chatbots. Build reliable execution environments for Multi-Agent Systems, including state management, long-term memory architectures, and Model Context Protocol (MCP) server integrations.
Build high-throughput, low-latency application backends and orchestration layers. Partner closely with data, platform, and full-stack engineers to ensure seamless feature delivery and reliable production operations.
Act as a technical anchor for the Data Science team – enforcing rigorous engineering standards, leading design and security reviews, evaluating build-vs-buy decisions, and mapping business requirements to robust technical designs.
Evaluate trade-offs and drive adoption of modern AI infrastructure tools, optimized embedding pipelines, vector databases, and serverless compute paradigms (such as Workers AI).\
Must-Have Skills
Extensive experience as a Senior or Lead ML Engineer, with a proven track record of architecting and operating production-grade ML platforms, services and distributed backends.
Strong competency in Traditional ML lifecycles (feature stores, training pipelines, model monitoring) alongside deep experience in Generative AI patterns (RAG pipelines, context engineering, fine-tuning, guardrailing, and agentic AI systems).
Mastery of Python and robust experience with modern backend ecosystems. Familiarity with (or willingness to collaborate on) full-stack technologies like React and TypeScript is highly valued.
A builder's mindset. You are comfortable navigating ambiguity, shaping your own technical roadmap, adapt as needed and taking extreme ownership of system reliability, costs, and model performance.
Nice-to-Have Skills
Technical Leadership & Systems Architecture
3+ years of dedicated ML Engineering experience within a large-scale, enterprise environment (handling petabyte-scale data and working across globally distributed teams).
Proven ability to architect, scale, and secure reliable, highly observable distributed systems, with a track record of leveling up platform foundations.
Experience mentoring engineers, leading by example through high-quality code and rigorous design reviews, and fostering a culture of technical excellence.
Strong problem-solving skills with a demonstrated ability to independently drive complex projects through ambiguous spaces and collaborate cross-functionally with data engineers, full-stack teams, and analysts.
AI, LLMOps & Agentic Engineering
Hands-on proficiency in building production-grade GenAI applications and multi-agent systems using advanced LLM frameworks like LangGraph, LangChain, or Autogen. Deep understanding of agent harness primitives, state management, memory architectures, and tool-calling loop mechanics.
Experience establishing LLMOps foundations, including automated prompt tracking, LLM evaluation pipelines (e.g., Ragas, TruLens), vector database optimization, context/token management, and real-time guardrailing/moderation layers.
Deep experience in scientific computing using Python (Scikit-Learn, PyTorch, or TensorFlow) and deploying traditional systems for end-to-end training, batch/real-time inference, and model observability.
Infrastructure, Cloud & Data Platforms
Strong experience with Docker and Kubernetes for containerization and orchestration, alongside Infrastructure-as-Code tools like Terraform and public cloud ecosystems (GCP, AWS, or Azure).
Hands-on experience with modern MLOps platform tools (e.g., Airflow, Argo Workflows, ArgoCD) and data systems including BigQuery, Postgres, and robust ETL/ELT practices.
Experience with full-stack web technologies and serverless/edge environments (FastAPI, TypeScript/JavaScript, Cloudflare Workers), with the agility to contribute across a multi-language stack.
Strong foundation in continuous integration/continuous deployment (CI/CD), testing frameworks (Pytest), and robust version control practices.
Education & Communication
M.S. or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
Exceptional written and verbal communication skills, with the ability to translate complex technical architectures into clear concepts for both engineering peers and business stakeholders.
Equity
This role is eligible to participate in Cloudflare's equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Remote in the United States or Canada (East Coast/ET)
Workplace: Remote
At Sanity.io http://Sanity.io, we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency.
It's always peak hour somewhere: with infrastructure and customers spanning every continent, a Sanity SRE makes sure the platform we build is scalable and fast, safe to deploy, and inspiring to use. The scale is real: Content Lake alone handles around 75,000 requests a second, about 4.5m a minute, and companies like SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom, Arc’teryx, and Morningbrew run their content operations on it.
Our stack is built on a mix of the tried and tested and the bleeding edge. The core technologies we currently use include Kubernetes, Prometheus, ElasticSearch, PostgreSQL, NATS, Kong, Fastly, and Google Cloud Platform.
The SRE role involves close partnership with our development teams to design and build infrastructure that supports our goal: to be the best platform for authoring, processing, and distributing content worldwide in real time. You will work close to the metal on the security, stability, and performance our customers have come to expect, and help raise the reliability bar as we grow.
WHAT YOU WOULD DO:
- Design, build, and operate the shared platform foundations engineers ship on every day: GCP infrastructure, Kubernetes, networking, routing, CI/CD, and observability.
- Diagnose and troubleshoot complex distributed systems running at high request volume.
- Ensure observability and analyze the behavior of our stack.
- Contribute to in-flight work like modernizing our edge, caching, and gateway layers onto Fastly and tightening observability across the platform.
- Raise the reliability bar through better dashboards, alert severity, paging standards, on-call readiness, and incident response.
- Make deployment boring in the best way: build golden paths, production readiness checks, safe rollouts, and useful automation so engineers have fewer places to look before they ship.
- Mentor engineers and raise the technical bar through code review, design review, and pairing.
- Participate in our on-call rotation and help our developer on-call rollout land well.
ABOUT YOU:
- Based in the United States, with reasonable overlap with European engineering hours.
- Experience with SRE/DevOps tools, processes, and culture.
- 5+ years of experience as part of an SRE on-call rotation.
- Analytical approach to designing, diagnosing, and optimizing infrastructure.
- Experience with managing scalable, highly available, cloud-based applications, ideally with high request volume and customer-facing uptime expectations.
- Experience with Kubernetes for orchestrating, scaling, and managing containerized applications in cloud-based environments.
- Experience building CI/CD pipelines.
- Experience with an observability stack (Prometheus, et al.).
- Comfortable working across CDNs, edge, gateways, and caching layers, or eager to go deep there.
- You improve on-call and reliability by building systems, standards, and feedback loops that make production healthier over time.
- You are comfortable dealing with incidents and outages and have built a practical, thoughtful communication style for handling high-pressure situations.
- An open but considered approach to new technologies.
There are many roads leading up to being an SRE. Our team is already a mix of self-taught and formally educated people. Don't self-select out!
WHAT WE CAN OFFER:
- A highly-skilled, inspiring, and supportive team
- Real infrastructure scale and meaningful, hands-on work changing how it runs
- Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth
- A global, multi-culturally diverse group of colleagues and customers
- Comprehensive health plans and perks
- A healthy work-life balance that accommodates individual and family needs
- Competitive stock options program and location-based salary
WHO WE ARE:
Sanity.io http://Sanity.io is a modern content operating system that replaces rigid legacy content management systems. We treat content as data, so teams can keep one governed source of truth and adapt it across websites, apps, workflows, and AI agents with less duplicated content work.
Sanity recently raised an $85m Series C led by GP Bullhound and is backed by ICONIQ Growth, Threshold Ventures, Heavybit, Shopify, and founders from Vercel, WP Engine, Twitter, Mux, Netlify, and Heroku.
Sanity is a 300+ person company with committed, ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type 2 fun. Read more about our values here.
Sanity.io http://Sanity.io pledges to be an organization that reflects the globally diverse audience our product serves. We believe that hiring the best talent and bringing together a diversity of perspectives, ideas, and cultures leads to better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.
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 €
121,128
- €
145,354
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
.
Location: Cairo, Egypt; Alexandria, Egypt
Workplace: hybrid
Yassir is the leading super app in the Maghreb region, set to change the way daily services are provided. It currently operates across Algeria, Morocco, Tunisia, South Africa and Senegal. It is backed by ~$200M in funding from VCs across Silicon Valley, Europe and other parts of the world.
We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally — helping usher the continent into a digital economy era. We’re not just about serving people; we’re about creating a marketplace that brings people what they need while infusing social values.
ABOUT THE ROLE
We are looking for a Senior Product Manager to own the Personal Banking experience — our consumer wallet and the financial products that sit inside the Yassir super app. This is a B2C role at the centre of our financial services strategy.
Your core mandate is adoption: getting millions of Yassir users to fund, hold, and transact with the wallet — first inside the super app (rides, deliveries, top-ups), and then beyond it (peer-to-peer transfers, bill payments, merchant payments in the real world). You will own the full consumer journey from first wallet activation to habitual, everyday use.
You will work across engineering, design, growth, and the wider super app teams to make the wallet the default way Yassir users move money — turning an existing, trusted user base into active financial services customers.
RESPONSIBILITIES
Own the personal banking / consumer wallet product end-to-end, with adoption and active usage as your primary success metrics.
Define and execute the strategy to drive wallet activation, funding, and repeat transactions — both within the super app (rides, deliveries) and in external use cases (P2P, bill payments, merchant payments).
Design acquisition and activation funnels in partnership with growth and marketing; identify and remove the friction points that stop users from funding and using the wallet.
Deeply understand the Algerian consumer — cash habits, trust barriers, and the behavioural shifts required to move people from cash to digital money.
Run discovery: customer interviews, journey mapping, prototyping, and experiments to validate what will actually drive adoption at scale.
Translate customer insights into a prioritised roadmap of features and experiments, tested with real users in market.
Partner with engineering and design to ship high-quality consumer experiences — onboarding, KYC, top-up, send/receive, and transaction history — that feel effortless and trustworthy.
Leverage Yassir’s existing super app surfaces (ride-hailing, delivery, agent network) as distribution channels for wallet adoption.
Instrument the product with analytics; use funnel data, cohort retention, and transaction behaviour to make evidence-based decisions.
Synthesise business, market, and customer needs into strategic, evidence-based recommendations for leadership.
Facilitate agile ceremonies and keep the squad delivering against roadmap and quality goals.
REQUIREMENTS
Minimum 5 years of product management experience, with a strong track record in B2C fintech, digital banking, wallets, or payments.
Proven experience driving consumer adoption and engagement of a financial product — you have moved activation, retention, or transaction metrics, not just shipped features.
A track record of launching and scaling consumer-facing digital products (B2C).
Strong grasp of acquisition, activation, retention, referral, and revenue — and how to design a product that grows across that funnel.
Experience with growth mechanics: onboarding optimisation, funnel analysis, experimentation, and retention loops.
Understanding of the technical aspects of digital product development, with the ability to work closely with engineers and get the best out of them.
Ability to create and run a customer discovery process — interviews, journey mapping, and ideation workshops — to surface real user pains and opportunities.
Strong understanding of value proposition design and what makes a consumer product succeed.
Ability to integrate analytics into a product to generate actionable insight, and to define the right metrics for a consumer wallet.
Excellent verbal and written communication, with the ability to influence stakeholders at all levels; presentation and storytelling skills.
Strong design sense and the ability to collaborate with designers to produce great consumer experiences.
Knowledge of modern development practices like agile and scrum.
Dependable, enthusiastic, curious, with great energy and the ability to thrive in a fast-paced, dynamic environment.
Based in Cairo, Egypt (required).
Native Arabic speaker with fluent English; French is a huge plus.
NICE TO HAVE
Experience taking a wallet or consumer fintech product from low to mass adoption in an emerging or cash-heavy market.
Understanding of behavioural psychology and how to design for high engagement and stickiness.
Knowledge of lean startup techniques and what a good MVP looks like for consumer products.
Experience working with super apps, marketplaces, or multi-product ecosystems.
Prior experience in a scale-up environment.
At Yassir, we believe in the power of diversity and the importance of an inclusive culture. If you’re ready to bring your unique perspective and experiences to the table, we’re excited to listen. Don’t just apply for a job - come and be a part of our journey. Let’s create a better tomorrow together.
Location: Kuala Lumpur, Malaysia
About Us
Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.
Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.
Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
Key Responsibilities
1.
Recommendation Engine & Full-Pipeline Development
Multi-stage Engine Development:
Own the development and refactoring of high-concurrency, low-latency recommendation serving engines, powering the full pipeline of multi-channel recall (two-tower/collaborative filtering/ANN vector retrieval) → coarse ranking → fine ranking → re-ranking.
Compute Tiering & Strategy Engine:
Implement dynamic compute trimming and degradation mechanisms for dynamic Ul personalization and global strategy dispatch, ensuring core engine stability under extreme traffic spikes.
2. Real-time Feature Engineering & Data Consistency Governance
Real-time Feature Pipeline:
Build high-throughput, low-latency real-time feature streams on Kafka/Flink, enabling minute-level/second-level user pehavioral feature updates and dynamic sliding-window aggregations.
Feature Store:
Contribute to the development of unified online/offline feature storage with stream-batch convergence architecture; deeply govern industrial-grade pain points such as "online/offline feature inconsistency" and "feature time-travel leakage," systematically improving online/offline feature consistency.
3. Large-scale Retrieval & Vector
Infrastructure
Optimization
Vector Retrieval System:
Own the construction and optimization of large-scale vector retrieval systems (Faiss/Milvus/NSW) supporting candidate pools from tens of thousands to milions, lead index structure parameter tuning, achieving P99 retrieval latency < 100ms.
Multi-source Heterogeneous Indexing:
Build unified Embedding Pipelines and high-performance inverted index services covering trading products, news, KOL content,
on-chain
signals, and other heterogeneous data sources.
4. High-performance Model Inference & Compute Optimization
Deep Model Engineering:
Own high-performance online deployment and operator optimization of complex deep ranking models (e.g., DIN/SIM sequential models, MMoE/PLE multi-objective deep models).
Inference Graph & Compute Governance:
Solve compute explosion in multi-task/multi-objective online inference through inference optimization (quantization, graph optimization, batching strategies) - targeting fine-ranking P99 latency < 200ms.
5. System Performance, Global Observability & Experimentation Infrastructure
High Availability & SLO:
Ensure global recommendation service P99 latency < 200ms and system availability > 99.9%; write comprehensive overload protection, thread isolation, and disaster recovery degradation code.
Global Distributed Tracing:
In complex multi-region/multi-site/multi-language cross-border IDC environments, build and maintain end-to-end distributed tracing and monitoring systems (e.g.,Jaeger/Prometheus), establishing minute-level root cause attribution and fault localization mechanisms.
Experimentation Platform Engineering:
Contribute to A/B experiment traffic-splitting platform upgrades, engineering CUPED variance reduction and sequential testing mechanisms to reduce sample size requirements and accelerate algorithm iteration pipelines.
Requirements
Industrial-grade Hands-on Experience:
5+ years of recommendation system engineering at consumer-scale internet companies; must have deeply participated in or led architecture refactoring or launches of realtime recommendation systems serving tens of millions of users at scale. Proven experience building recommendation systems from 0→1 (not just maintaining mature systems) is strongly preferred.
Mastery of Engineering Foundations:
Exceptionally solid low-level
CS
fundamentals; proficient in at least one of Go/Java/C++ (Go preferred given current stack; C++ experience a plus for future engine optimization); familiar with PyTorch/TensorFlow model online inference and deployment optimization.
Deep Expertise in Big Data & Retrieval:
Hands-on with Spark/Flink/Kafka stack, with real experience solving stream computing latency and data backlog issues; proficient in Milvus/Faiss cluster deployment and tuning.
Engineering Perspective on Algorithms:
Deep understanding of computational complexity and online bottlenecks of core algorithms (collaborative filtering, two-tower recall, multi-objective optimization MMoE/PLE); ability to interface smoothly with algorithm teams for high-quality, efficient engineering translation.
Excellent System Design Capability:
Proven experience in actual development and core module design of recommendation platforms, feature platforms, experimentation platforms, or high-performance RPC frameworks at top-tier companies.
Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.
Merlimau, Melaka, Malaysia
seniorSingapore
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