Location: United States
Workplace: Remote
The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
ABOUT THE ROLE
As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications.
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
WHAT YOU'LL DO
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
ABOUT YOU
- 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Constanta, Romania
Workplace: on-site
VEO Worldwide Services is an international clearance company with over
19 years of experience
, part of the
NOZ Group
, the European leader in destocking with over
€1 billion turnover.
We are more than
1,000 colleagues across 9 countries
, working with partners in
35 global markets
(Europe, North Africa & Middle East).
Our mission
: We help companies transform surplus stock into new opportunities, contributing to a more sustainable global economy — while building meaningful careers that grow with real impact.
✨ About the Role
We’re looking for a results-driven, people-focused
Commercial Team Manager
to lead our acquisition team, drive performance, and shape commercial strategy. If you love leading people, turning goals into results, and working in a fast-paced, international environment — this is your next big step.
🎯 Who You Are
✔ You have
leadership experience (min. 1 year)
and a passion for helping people grow.
✔ You’re
people-oriented
and know how to inspire, coach, and empower your team.
✔ You’re
results-focused
and motivated by impact and measurable outcomes.
✔ You’re
hands-on
, working side-by-side with your team every day.
✔ You communicate confidently
in English (B2) and Spanish (B1)
, thriving in a multicultural setting.
✔ You hold a
bachelor’s degree
(or equivalent).
💼 What You’ll Do
Lead and support a team of 4–5 buyers, driving commercial performance.
Manage daily operations and acquisition activities with a hands-on, strategic approach.
Coach, evaluate, and develop team members to reach their full potential.
Track KPIs and results, analyze performance, and report to senior management.
Shape strategy and propose action plans to achieve objectives and exceed targets.
Collaborate cross-functionally with buying, marketing, and commercial teams to deliver results.
🎁 What We Offer
Competitive
salary + monthly performance-based bonus.
4-month intensive training & coaching program
focused on leadership, KPI analysis, reporting, and commercial strategy.
Clear career growth path
with real advancement opportunities in a dynamic, international business.
Global exposure
– collaborate with colleagues from 9 countries and work on international projects.
Frequent international
travel to partner offices, trade fairs, and strategic business
events.
Flexible benefits package
– including discounts, private health insurance, gym membership, meal vouchers, vacation vouchers, and more.
Ongoing development programs, language courses, and leadership growth initiatives.
📩 Apply now
and take the lead in shaping strategy, building teams, and driving results on a global stage with VEO.
-
Location: San Francisco, CA
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 team
Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of demonstrating how AI tools can accelerate scientific workflows and enable discovery.
About the role
We are hiring Research Associates: early-career bench scientists who will join a small team to help establish our biology research program. This is an entry-level role, great for individuals who have done some research during an undergrad or masters program and may be considering pursuing a PhD in Life Sciences in the future.
You'll work directly alongside senior scientists, executing and troubleshooting experiments at the bench while learning advanced techniques in a fast-moving, highly collaborative environment. We value curiosity, careful hands, and the willingness to take ownership of a result. Our scientists are eager to teach; we're hiring for motivation and trajectory as much as for existing skill.
This is a fully hands-on bench role — while familiarity with computational biology and bioinformatics is welcome, the role does not involve AI/ML model development.
Key responsibilities
Execute molecular biology and biochemistry experiments at the bench under the direction of senior scientists
Maintain meticulous, reproducible records and contribute to shared protocols
Troubleshoot experiments, propose adjustments, and present results clearly in group meetings
Maintain mammalian and bacterial cell lines, materials stocks, and reagent inventories
Learn and adopt new techniques rapidly as projects evolve, with training provided
Minimum qualifications
Have hands-on research experience in molecular biology, biochemistry, or a closely related field
Are proficient with foundational molecular biology techniques: PCR, gel electrophoresis, molecular cloning, and plasmid preparation
Have experience with aseptic technique and bacterial or mammalian cell culture, and with nucleic acid extraction, purification, and quantification
Follow, document, and adapt experimental protocols with care and precision
Are highly motivated, eager to learn, and energized by hands-on bench work
Are practical and resourceful — you'd rather find a way through than a reason it can't be done
Listen carefully, take feedback well, ask good questions, and are comfortable when priorities shift quickly
Are excited to use AI models as a tool at the bench to plan experiments, interpret data, and decide what to try next
Preferred qualifications
A BS or MS in molecular biology, biochemistry, chemical biology, microbiology, bioengineering, or a related discipline
Protein expression and purification experience (e.g., affinity, SEC, IEX)
Mammalian cell culture experience, including transfection and stable line maintenance
Enzyme kinetics or quantitative biochemical assay development (fluorescence, absorbance, FRET)
Next-generation sequencing library preparation experience
Familiarity with common bioinformatics workflows and molecular biology software (e.g., sequence analysis, alignment, primer and construct design)
Experience using AI tools such as Claude in a research setting — for literature review, protocol drafting, data interpretation, or experimental troubleshooting
This is a rare opportunity to help define how a frontier AI company does biology. You'll learn quickly, work closely with people who want to teach, and see your results feed directly into how the most capable AI models are evaluated and improved.
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:
$95,000
—
$120,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Meet Arago and the Aragonians Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors. Founded in 2024 by AI researchers and physicists with deep expertise in photonics, electronics, software, mathematics, and machine learning, Arago brings together a lean team of engineers and scientists from the world’s top companies and research labs. Composed of nine nationalities and operating from hubs in France, North America, and Israel, we believe in great science and fast achievements. Our work is guided by these core principles: Do great things: we deliver work we’re proud to sign our name to. High velocity: speed matters. We move quickly, one step at a time. One unit: we’re all in this together, with relationships grounded in trust, respect, and camaraderie. Arago is backed by executives from Apple, Arm, Nvidia, Microsoft, and Hugging Face, as well as prominent US and European deeptech venture firms and exited founders.
Задачи:
— Design and verify custom digital hardware components and architectures that enable high-performance, tightly integrated computation workloads and interface Arago’s custom tensor unit for advanced AI/ML applications.
— Design, implement, and verify RTL blocks for memory, control, and compute subsystems within Arago’s custom multiphysics computation unit.
— Collaborate with Arago’s system software and architecture teams to define block-level specifications and ensure alignment with performance and integration goals.
— Develop and maintain functional verification infrastructure to validate design correctness across simulation and hardware testbenches.
— Support synthesis, timing analysis, and backend integration, working closely with Arago’s physical design and CAD engineers.
— Contribute to architectural exploration and hardware-software co-design efforts to shape future iterations of Arago’s compute platform.
Требования:
— Extensive experience in RTL design (Verilog/SystemVerilog) for control logic, datapaths, memory subsystems, and specialized processing units.
— Strong understanding of digital architecture, including pipelining, arbitration, memory hierarchy, and system-level integration.
— Proficiency in functional verification, including testbench development, assertions, coverage metrics, and debugging (UVM experience is a plus).
— Familiarity with ASIC and FPGA design flows, including synthesis, timing closure, and DFT.
— Comfortable working across the full hardware stack — from architectural specification and microarchitecture to physical implementation support.
— Language: English at a proficient level. French is a plus.
Условия:
— Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions.
— Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers).
— Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location.
— Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays.
— Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive.
— Reimbursement of 50% of the public transport subscription fee.
— A high-paced, multicultural (with 9 nationalities), and engineering-led environment.
Our Hiring Process: Your Journey to Arago
— Screening Call : Get to know you beyond your CV.
— Technical meeting : Deep dive into your past projects and technical achievements.
— CEO Interview : Assess the fit with the team’s culture and long-term vision.
— Reference Calls: Mandatory calls with your former managers to validate strengths, weaknesses, and work style.
— Technical Assessment: Take-home technical assignment crafted to the role you’re applying for.
— Final Interview : Discuss your technical assignment and address any remaining questions with team members.
Location: Remote, US
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An Overview of this role
We are seeking a Staff Product Manager to serve as an internal PM embedded within this team. This is not a traditional external-facing product role—it is an internal platform product leadership position. You will own the roadmap for our enterprise systems, act as the strategic voice of the business within engineering, and bring senior product craft to a team of Analysts and engineers who build and operate GitLab's revenue infrastructure.
This role is ideal for a seasoned product leader who has deep Quote-to-Cash or Finance domain knowledge, thrives at the intersection of business strategy and technical execution, and is energized by mentoring high-performing teams through complex, multi-program environments.
What You’ll Do
Internal Product Roadmap Ownership
Define, own, and maintain the multi-quarter internal product roadmap for QTC and Finance Systems, covering Salesforce CPQ, Zuora Billing, Zuora Revenue, NetSuite, and the CDot metering platform.
Translate business strategy from Finance, Revenue Operations, Deal Desk, and Sales into sequenced, prioritized system capabilities with clear outcomes and success metrics.
Balance competing program demands—stabilization, net-new capability delivery, and technical debt reduction—with transparent trade-off frameworks.
Drive quarterly and annual planning ceremonies, partnering with Engineering Managers and Business Systems Analysts to align capacity with roadmap commitments.
Stakeholder Partnership & Requirements Translation
Serve as the primary internal product voice for all QTC and Finance Systems initiatives, partnering closely with Finance, Accounting, Revenue Operations, Deal Desk, and Legal.
Lead discovery, requirements workshops, and business process design sessions to translate complex financial and commercial requirements into actionable system specifications.
Own the decision layer between "what the business needs" and "what engineering builds," resolving ambiguity with structured frameworks and documented decisions.
Navigate cross-functional stakeholder dynamics including SOX compliance, audit controls, and revenue recognition governance (ASC 606/IFRS 15).
Team Mentorship & Capability Building
Act as a product craft mentor and senior thought partner for the BSA team, actively upskilling analysts in product thinking, requirements structuring, acceptance criteria definition, and roadmap communication.
Model and instill product management best practices—user story writing, prioritization frameworks (e.g., RICE, MoSCoW), sprint review discipline, and outcome tracking—across the team.
Partner with leadership to evolve the operating model of the team from project-execution-focused to product-thinking-led, raising the bar for how ETA delivers business value.
Provide structured feedback and growth coaching to BSAs on career development, helping analysts grow toward senior and lead levels.
Program Strategy & Delivery Oversight
Lead product strategy for major multi-quarter programs (e.g., consumption-based billing iterations, CLM/Order Forms, Zuora Product Catalog refactors, ERP optimization) from discovery through go-live.
Define and maintain program-level dependency maps across concurrent workstreams, surfacing risks early and driving cross-team resolution.
Own UAT strategy and acceptance criteria in collaboration with BSAs, ensuring system changes meet business requirements before production release.
Support post-launch stabilization and continuous improvement cycles, prioritizing defect resolution and incremental enhancements based on business impact.
Systems Architecture Collaboration
Partner with Enterprise Architects and Engineering Managers to evaluate build-vs-buy-vs-configure decisions for new capabilities.
Bring informed opinions on QTC platform architecture trade-offs (e.g., billing model design, middleware integration patterns, revenue recognition rule configuration) based on deep domain knowledge.
Stay current on platform roadmaps for Salesforce, Zuora, and NetSuite, identifying opportunities to leverage native capabilities before custom builds.
What You’ll Bring
8+ years of product management experience, with at least 3 years in an internal platform PM, enterprise applications PM, or systems product leadership role.
Deep domain expertise in Quote-to-Cash systems: Salesforce CPQ, Zuora Billing, Zuora Revenue, and NetSuite ERP are the core stack—hands-on configuration or implementation experience strongly preferred.
Demonstrated ability to own and communicate multi-quarter internal product roadmaps to senior business and technology stakeholders.
Strong command of revenue lifecycle processes: opportunity-to-quote, order management, billing and collections, revenue recognition (ASC 606), and financial close.
Experience operating in a SOX-controlled environment with an understanding of audit trails, approval workflows, and change management requirements for financial systems.
Track record of successfully running complex, multi-program delivery environments with competing priorities and shared engineering resources.
Sufficient technical fluency to engage meaningfully with engineering on API design, data model decisions, and integration trade-offs—without needing to write code.
Experience with consumption-based or usage-based billing models
About the team
You'll be joining the Revenue Lifecycle & Finance Systems team within GitLab's Enterprise Technology Architecture organization. Our team is responsible for the systems and processes that power GitLab's entire revenue lifecycle—from configure-price-quote through contract execution, billing, revenue recognition, and financial close.
We are in an exciting and demanding phase: transitioning GitLab's go-to-market from a pure subscription model toward consumption-based offerings while simultaneously modernizing our core platforms. This role will be central to shaping how that evolution happens—and how the team grows in capability and product maturity alongside it.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$168,000
—
$235,600 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Meet Arago and the Aragonians Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors. Founded in 2024 by AI researchers and physicists with deep expertise in photonics, electronics, software, mathematics, and machine learning, Arago brings together a lean team of engineers and scientists from the world’s top companies and research labs. Composed of nine nationalities and operating from hubs in France, North America, and Israel, we believe in great science and fast achievements. Our work is guided by these core principles: Do great things: we deliver work we’re proud to sign our name to. High velocity: speed matters. We move quickly, one step at a time. One unit: we’re all in this together, with relationships grounded in trust, respect, and camaraderie. Arago is backed by executives from Apple, Arm, Nvidia, Microsoft, and Hugging Face, as well as prominent US and European deeptech venture firms and exited founders.
Задачи:
— Develop Arago’s quantization strategy for modern AI models, including precision studies, numerical format exploration, and model-level techniques to preserve accuracy under constrained precision.
— Study the impact of analog noise on the performance and inference accuracy of machine learning models, including language models, diffusion, video generation, and world models.
— Develop simulation tools to model analog behavior with minimal computational overhead.
— Build and maintain Arago's internal experimentation pipelines for precision and performance studies on both physical and emulated prototypes.
— Act as a technical point of contact between clients and Arago: analyze, port, and optimize client models onto Arago hardware, balancing throughput and accuracy.
— Collaborate with the software and digital architecture teams to support architectural enhancements based on the operator content of frontier model architectures.
Требования:
— Background in mathematics, physics, computer science, or a related quantitative field.
— Strong interest and skills in applied mathematics and statistics.
— Strong experience with quantization of machine learning and AI models.
— Strong understanding of modern model architectures, including language models, diffusion models, video generation models, and/or world models.
— Experience studying the impact of numerical precision, noise, or approximation on model accuracy.
— Experience with inference performance optimization.
— Good knowledge of computer architecture, GPU architecture, or parallel computing.
— Ability to build rigorous experimentation pipelines and translate research insights into practical engineering decisions.
— GitHub profile with recent and relevant projects.
— Language: English at a proficient level. French is a plus.
Условия:
— Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions.
— Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers).
— Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location.
— Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays.
— Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive.
— Reimbursement of 50% of the public transport subscription fee.
— A high-paced, multicultural (with 10 nationalities), and engineering-led environment.
Location: Limassol, Cyprus
Workplace: on-site
Mayflower is a technology company building highload products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience.
We are looking for a
Backend Team Lead
for our
ML development team
focused on building and delivering
production-grade ML-powered applications
.
This role is not about research or experimentation. You will be responsible for turning ML models into
reliable, scalable, user-facing services
.
You will work at the intersection of
machine learning and backend engineering
, owning the full lifecycle of ML-powered features — from integration to deployment and operation in production.
Job Responsibilities
Design and build
production ML services
(APIs, microservices, real-time systems)
Lead and grow a
team of backend engineers
: plan work, mentor team members, conduct code reviews, provide technical guidance, and foster engineering excellence.
Drive architectural decisions and ensure the scalability, reliability, and maintainability of ML services.
Integrate ML models into
user-facing applications
Ensure
reliability, scalability, and performance
of ML-powered systems
Define and implement best practices for
serving, versioning, and monitoring models in production
Collaborate closely with:
ML engineers / data scientists (who develop models)
DevOps / MLOps team (who provide platform and infrastructure)
Own the
delivery pipeline of ML features
into production
Lead and mentor engineers working on ML-powered applications
Drive architectural decisions around
low-latency and high-load systems
Identify bottlenecks between experimentation and production and eliminate them
You’ll thrive here if you have
5+ years of experience in backend/software engineering in a
Lead or Senior role
(mentoring, ownership, decision-making).
Strong commercial Python experience.
Managerial experience
leading an engineering team.
Experience designing and building production backend systems and microservice architecture.
Strong understanding of system design, scalability and high-load systems.
Experience
developing APIs
(FastAPI, Flask, gRPC or similar).
Hands-on experience with code reviews, mentoring and technical decision-making.
Ability to drive cross-team collaboration and own complex technical integrations.
That can be a plus:
Experience with
real-time ML systems
(recommendations, ranking, personalization)
Experience in
video streaming
or high-throughput platforms
Familiarity with
Kubernetes and cloud/on-prem environments
Experience with
feature stores, model monitoring, A/B testing
Experience working alongside
MLOps platforms (MLflow, Airflow, etc.)
Conditions
We know that great talent deserves great conditions, so here's what you can expect when joining us:
EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family.
EU passport.
Opportunity to obtain an EU passport after 4 years of residence
Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free.
Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.
Private medical insurance for you and your family
Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus.
Corporate mobile plan (unlimited in Cyprus with roaming included)
Mindfulness & well-being support, including psychological assistance with 50% coverage.
50% coverage of school and kindergarten fees for your children.
Fully covered sports benefits, and also access to in-house electric scooters and bike rentals
Professional growth support: language courses, conferences, training programs, and coaching.
Peer recognition program: receive and share kudos for great work.
A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.
Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.
A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities.
Interview steps:
1. HR Interview (45 min)
2. Technical Interview (90 min)
3. Live code-review interview (90 min)
4. Final interview with the team (60 min)
Location: North Macedonia; Serbia; South Africa; Poland; Morocco; Philippines
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech.
Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability.
Role Type: Full-time
Engagement: Independent Contractor
Location: Remote,
About the company
Our client is a fast-growing FinTech startup revolutionizing the investment landscape by bridging the gap between sophisticated financial data and artificial intelligence. They have developed a comprehensive research stack that unifies real-time market data across thirteen asset classes—including stocks, crypto, options, and macroeconomics—into a single, AI-native ecosystem. By providing institutional-grade tools like backtesting engines and congressional trade trackers at a fraction of traditional costs, the team empowers retail and professional traders worldwide to make data-backed decisions with speed and conviction.
Job Summary
This is a high-impact opportunity to join a stealth-stage FinTech startup at the intersection of Generative AI and global finance. The team is building cutting-edge tools that connect Large Language Models (LLMs) to live financial data, providing research terminals and APIs for sophisticated trading firms. We are looking for a tenacious, finance-savvy SDR to drive our outbound engine. You will be the first point of contact for institutional prospects, playing a critical role in scaling our revenue and defining our market presence.
Key Responsibilities
Execute high-volume outbound prospecting, including approximately 100 cold calls per day.
Qualify leads and secure a target of 20+ meetings per month with key decision-makers in the trading and investing sectors.
Manage the top-of-funnel pipeline to contribute to a consistent flow of closed deals.
Articulate the value of technical financial products, LLM integrations, and APIs to sophisticated market participants.
Maintain rigorous CRM hygiene and track all outreach activity via Smartleads and Microsoft Teams.
Partner with leadership to refine sales messaging and objection-handling strategies based on real-time market feedback.
Requirements
1-4 years of experience in an SDR, cold calling, or outbound sales role, preferably within a SaaS environment.
A deep interest in or professional knowledge of trading, investing, and financial markets.
Proven resilience and the ability to handle the high-rejection environment of outbound sales.
Exceptional verbal and written communication skills in English.
A self-starter mindset with the ability to operate independently in a fast-paced, remote startup environment.
Strong sales acumen and a focus on revenue generation.
Nice-to-Haves
Direct experience selling technical products, data-driven tools, or financial APIs.
Previous experience in a FinTech or trading-focused startup.
Proficiency with outbound automation tools and modern CRM systems.
Benefits
🌎 Fully remote role with flexible working hours
🚀 Work with high-growth international companies
🎯 Performance-based bonuses and incentives
🧠 Ongoing training, mentorship, and sales development support
Location: Philippines; South Africa; Ethiopia; Egypt; Morocco; Pakistan
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech.
Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability.
Role Type: Full-time
Engagement: Independent Contractor
Location: Remote,
About the company
Our client is a fast-growing FinTech startup revolutionizing the investment landscape by bridging the gap between sophisticated financial data and artificial intelligence. They have developed a comprehensive research stack that unifies real-time market data across thirteen asset classes—including stocks, crypto, options, and macroeconomics—into a single, AI-native ecosystem. By providing institutional-grade tools like backtesting engines and congressional trade trackers at a fraction of traditional costs, the team empowers retail and professional traders worldwide to make data-backed decisions with speed and conviction.
Job Summary
As a Sales Development Representative at this stealth-stage FinTech startup, you will be at the forefront of the intersection between Large Language Models (LLMs) and live financial markets. We are building the next generation of research terminals, financial APIs, and trading tools. We are looking for a high-energy, resilient hunter who is passionate about the financial markets and eager to drive revenue growth. This is a high-impact role where your outreach directly shapes the company's trajectory and provides a clear path for professional and financial advancement.
Key Responsibilities
Execute high-volume outbound prospecting campaigns, targeting approximately 100 cold calls per day.
Identify, qualify, and engage key decision-makers within the trading, investing, and financial services sectors.
Consistently book and manage approximately 20 qualified meetings per month to ensure a robust sales pipeline.
Contribute to overall revenue generation with a target of supporting 4 closed deals per month.
Maintain meticulous CRM hygiene and track all outreach activity within Smartleads and Microsoft Teams.
Collaborate closely with leadership to refine sales messaging and optimize outreach strategies for technical financial products.
Requirements
1-4 years of proven experience in an SDR, cold calling, or outbound sales role.
A strong professional background in FinTech, financial services or financial investments.
Demonstrable interest in or professional knowledge of trading, investing, and financial markets.
Exceptional communication skills in English, with the ability to handle complex objections confidently.
A high-volume mindset: you are energized by the "hustle" and comfortable with rigorous daily call targets.
Self-motivated and capable of working independently in a remote, fast-paced startup environment.
Benefits
🌎 Fully remote role with flexible working hours
🚀 Work with high-growth international companies
🎯 Performance-based bonuses and incentives
🧠 Ongoing training, mentorship, and sales development support
Location: Remote, Canada; Remote, US
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
GitLab is building the most comprehensive AI-powered DevSecOps platform, and this role will help shape how teams move from planning to code in an AI-native software development lifecycle.
As Senior Product Manager, Source Code, you'll shape how planning and managing source code will evolve in an AI-native software development lifecycle. This role is focused on bringing planning and code closer together, so teams can move from requirements and specifications to commits, merge requests, and customer value with speed and quality.
This area is evolving quickly. We're exploring how AI agents can use specifications, context, and human feedback to build the right thing, not just build the thing right. You'll define new product experiences for spec-driven, human-in-the loop development: how the link between planning intent and the code that implements it gets created, stays accurate as both change, and gets used at review time. The hard part is that this link decays. Code moves, specs might not follow, you will define how to make that connection self-maintaining.
This is an ambiguous, high-impact opportunity for a product manager who has strong software development lifecycle knowledge, is comfortable working with technical teams, and wants to help create something new in DevSecOps.
What You’ll Do
Define and drive product strategy for experiences that connect planning, source code management, and AI-assisted development.
Shape workflows where teams and agents move between intent and code in both directions, so a specification can be traced to the merges that implement it and a diff can be read and reviewed against the intent behind it.
Work with engineering, design, and other product teams to build product experiences that support human-in-the-loop and autonomous development workflows.
Partner with teams working on demos and prototypes, including near-term work around spec-driven planning and autonomous development modes, including which decisions stay with a human and why.
Use customer insights, product usage data, and market context to identify opportunities that can deliver customer value quickly.
Help teams ship fast with quality, balancing near-term execution with longer-term product direction.
Explore how planning can better account for reviewing code, reviewing test cases, and validating that work produced by agents matches the intended outcome.
Collaborate across Plan, Source Code Management, Code Review, and AI product areas to reduce friction across the software development lifecycle.
What You’ll Bring
Experience as a product manager working on developer tools, DevOps tools, source code management, planning tools, AI-native products, or related software development lifecycle products.
Direct, hands-on experience with the source code lifecycle, including branches, merge requests, code review, CI/CD, and releases, whether as a product manager or as an engineer, along with a strong understanding of how software moves from ideas and requirements through planning, coding, review, testing, and delivery.
Experience working with technical product areas and engineering teams, with enough technical depth to understand developer workflows and tradeoffs.
A data-forward approach to product management, including experience using data to identify customer impact and guide prioritization.
Comfort operating in ambiguous spaces where there may not yet be a clear market pattern or established product category.
Experience building or shipping with AI tools and agents, not just using them, and a point of view of your own on where AI helps and where it does not across the software development lifecycle.
Ability to think creatively about how AI changes the software development lifecycle and how product experiences should adapt.
Strong collaboration and communication skills, especially in an all-remote, asynchronous environment.
A bias toward action and the ability to help teams ship meaningful customer value quickly.
About the team
This role sits within the Product organization and will work closely with teams across Plan, Source Code Management, Code Review, and AI. We are focused on helping GitLab customers plan, build, and deliver software in a faster, more connected way.
You'll join a group that is rethinking how planning and coding should work as AI changes the speed and shape of software development. Rather than treating planning, coding, and review as separate stages, we're exploring how to bring these workflows closer together so humans and agents can collaborate more effectively.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$139,200
—
$235,200 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Mexico City
Workplace: Remote
THE ROLE
We're looking for a Solutions Architect to serve as the primary technical partner for our prospects and customers. You'll work hand-in-hand with Sales throughout the full lifecycle: qualifying technical requirements, designing and proving out architectures, running proofs of concept, and guiding customers from first evaluation through to production at scale. You'll be the trusted technical voice in the room, translating ClickHouse's architecture and capabilities into solutions that solve real business problems.
WHAT YOU'LL DO
- Act as the technical advisor for prospects and customers evaluating or scaling ClickHouse, from discovery through production deployment.
- Design reference architectures, data models, and ingestion/query patterns tailored to each customer's use case, scale, and existing data stack.
- Own and run technical proofs of concept and benchmarks, demonstrating ClickHouse's performance, scalability, and cost advantages against incumbent solutions.
- Partner closely with Account Executives to build technical account strategy, navigate procurement/security reviews, and close complex deals.
- Deliver compelling technical presentations, demos, and workshops to audiences ranging from individual engineers to VP/C-level stakeholders.
- Advise customers on schema design, query optimization, cluster sizing, replication, and migration strategy from other databases (e.g., Postgres, Elasticsearch, Snowflake, Druid, Spark).
- Serve as the voice of the customer internally, feeding product and engineering teams structured feedback on gaps, feature requests, and competitive positioning.
- Build reusable assets, demos, and technical content (blog posts, reference architectures, sample apps) that scale your impact across the field team.
- Contribute to team best practices, tooling, and onboarding materials.
WHAT WE'RE LOOKING FOR
- Experience in a customer-facing technical role such as Solutions Architect, Sales Engineer, Data Engineer, or Technical Consultant, ideally at an infrastructure, database, or analytics company.
- Deep hands-on experience with SQL and analytical/OLAP databases (ClickHouse, Snowflake, BigQuery, Druid, Vertica, Redshift, or similar); ClickHouse experience is a strong plus.
- Strong understanding of distributed systems fundamentals: partitioning, replication, consistency trade-offs, and query execution at scale.
- Comfort working across the modern data stack, including streaming systems (Kafka), orchestration tools, BI tools, and cloud infrastructure (AWS, GCP, or Azure).
- Ability to run and win technical evaluations against competitive alternatives, with a track record of influencing buying decisions.
- Excellent communication skills, able to flex between whiteboarding with engineers and presenting business value to executives.
- Self-starter who thrives with ambiguity and enjoys being both hands-on with technology and directly responsible for revenue outcomes.
- Willingness to travel periodically for customer visits, conferences, and team events.
NICE TO HAVE
- Direct experience deploying or administering ClickHouse in production.
- Experience with real-time analytics, observability, or large-scale event/log data use cases.
- Contributions to open-source data infrastructure projects.
- Prior experience at an early-stage or hypergrowth startup.
WHY CLICKHOUSE
- Work with one of the fastest-growing open-source projects and databases in the industry, at the center of the real-time analytics category.
- Join a technically excellent, customer-obsessed team that ships fast and takes ownership.
- Competitive compensation, equity, and benefits, with a remote-friendly, distributed culture.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Toronto, Ontario, Canada
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We’re looking for a Staff Software Engineer, Backend to join our Reverse ETL product engineering team.
Formerly Census, we were acquired in May 2025 to augment Fivetran’s warehouse-first data movement product story. Now we’re integrating our entire product directly into the Fivetran dashboard, bringing best-in-class data activation to every Fivetran customer.
As a staff software engineer in Reverse ETL, you’ll be on the front lines of integrating data activation capabilities into the Fivetran product along every dimension – authentication, billing, data model, UI and more. You’ll be a senior member of a distributed, collaborative, agile team of engineers of varying experience levels and diverse backgrounds.
This is a full-time position based out of our Toronto or Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration.
Technologies You’ll Use
Expertise in at least one interpreted language such as Python, Ruby on Rails, etc.
Hands-on experience with at least one compiled language such as C++, Kotlin, Scala, Go, Java, etc.
Solid understanding of relational databases (experience with data warehousing solutions (e.g., Snowflake) is a bonus)
Proven experience in system integration, including API consumption and development (experience with infrastructure management is a bonus)
Familiarity with leading cloud providers, such as GCP, AWS, or Azure
Experience being on-call
What You’ll Do
Make contributions to all parts of our tech stack, which comprises Ruby on Rails, Typescript, Vue, and AWS.
Be comfortable “filling in the gaps” in product / design specs. The prospect of being able to prototype to test ideas out before committing to building is exciting to you.
Work closely with our product team, leaders, and customers to help design and develop features that make Fivetran the one-stop shop for data activation.
Mentor early-career engineers, perform thoughtful and constructive code reviews, advise on best practices, provide project-level leadership, operate across teams, departments, and time zones.
Lead major projects, from driving research spikes, to writing and socializing design documents, to planning the implementation and rollout
Skills We’re Looking For
Can build things end-to-end. Our engineers build, deploy and maintain their code.
Is adept with data, backend systems, APIs, and UI components.
Is customer-focused, with an eye for building delightful product experiences and developer experiences.
Approaches new problems with a scrappy optimism, with a bias towards action.
Thrives in ambiguous environments where you get to work directly with customers and make decisions that build trust and have a huge impact on the business.
Present and available online for synchronous and asynchronous collaboration with a team distributed across North America.
Able to work in-person in our Toronto/Oakland office 2 days per week.
This role represents new headcount added to the team to support continued growth and expansion of capabilities.
#LI-HYBRID #LI-AM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Ontario Pay Range
$167,548
—
$209,435 CAD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: United Kingdom (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity and we would be interested in applications from the UK.
The Opportunity:
The Grafana Alerting squad operates at the core of the Grafana open-source project
(link)
, and our mission is to provide the most in-depth way to let users manage their alerts. The backend-focused team works closely with customers and the Grafana Cloud teams to make Alerting work on-prem and at infinite scale in Cloud. The team's scope spans both Grafana Alerting and the SLOs product, so engineers get to work across two products that are deeply connected in how they help users detect and respond to problems.
Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool.
Our domain is quite large, so to get an idea of the kind of work we do, here are some projects we recently worked on:
Build distributed systems to scale alert ingestion and delivery of Prometheus-based alerts
Unify Alerting setup and delivery to work the same for Grafana and Prometheus-based alerts
Build distributed systems to scale alert evaluation of Grafana-managed alerts, reaching over 500 evaluations per second in production.
Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool.
What You’ll Be Doing:
Take an active role in influencing our roadmap and your own career objectives
Work with your team to deliver new features, then use the results to iterate and improve.
Drive projects from initial ideation all the way to operations once it is in the hands of customers
Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope
Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability
Be a part of your team’s on-call rotations and take ownership of the services you’re running
Mentor and support other team members, participate in design discussions and collaborate with the team
Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system
As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.
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
Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must
Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, Java, C++, Rust or similar then that translates well
Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way
Some experience with developing software that runs in the Cloud
or
some experience with systems engineering
Experience writing clean, robust, and performant software that is easily maintained by others
Compensation & Rewards:
In the UK, the compensation range for this role is
GBP 103,958
- GBP 124,750
. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Spain (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity and we would be interested in applications from Spain.
The Opportunity:
The Grafana Alerting squad operates at the core of the Grafana open-source project
(link)
, and our mission is to provide the most in-depth way to let users manage their alerts. The backend-focused team works closely with customers and the Grafana Cloud teams to make Alerting work on-prem and at infinite scale in Cloud. The team's scope spans both Grafana Alerting and the SLOs product, so engineers get to work across two products that are deeply connected in how they help users detect and respond to problems.
Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool.
Our domain is quite large, so to get an idea of the kind of work we do, here are some projects we recently worked on:
Build distributed systems to scale alert ingestion and delivery of Prometheus-based alerts
Unify Alerting setup and delivery to work the same for Grafana and Prometheus-based alerts
Build distributed systems to scale alert evaluation of Grafana-managed alerts, reaching over 500 evaluations per second in production.
Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool.
What You’ll Be Doing:
Take an active role in influencing our roadmap and your own career objectives
Work with your team to deliver new features, then use the results to iterate and improve.
Drive projects from initial ideation all the way to operations once it is in the hands of customers
Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope
Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability
Be a part of your team’s on-call rotations and take ownership of the services you’re running
Mentor and support other team members, participate in design discussions and collaborate with the team
Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system
As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.
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
Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must
Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, Java, C++, Rust or similar then that translates well
Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way
Some experience with developing software that runs in the Cloud
or
some experience with systems engineering
Experience writing clean, robust, and performant software that is easily maintained by others
Compensation & Rewards:
In Spain, the compensation range for this role is
EUR 94,025
- EUR 112,830
. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Republic of Ireland (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity and we would be interested in applications from Ireland.
The Opportunity:
The Grafana Alerting squad operates at the core of the Grafana open-source project
(link)
, and our mission is to provide the most in-depth way to let users manage their alerts. The backend-focused team works closely with customers and the Grafana Cloud teams to make Alerting work on-prem and at infinite scale in Cloud. The team's scope spans both Grafana Alerting and the SLOs product, so engineers get to work across two products that are deeply connected in how they help users detect and respond to problems.
Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool.
Our domain is quite large, so to get an idea of the kind of work we do, here are some projects we recently worked on:
Build distributed systems to scale alert ingestion and delivery of Prometheus-based alerts
Unify Alerting setup and delivery to work the same for Grafana and Prometheus-based alerts
Build distributed systems to scale alert evaluation of Grafana-managed alerts, reaching over 500 evaluations per second in production.
Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool.
What You’ll Be Doing:
Take an active role in influencing our roadmap and your own career objectives
Work with your team to deliver new features, then use the results to iterate and improve.
Drive projects from initial ideation all the way to operations once it is in the hands of customers
Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope
Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability
Be a part of your team’s on-call rotations and take ownership of the services you’re running
Mentor and support other team members, participate in design discussions and collaborate with the team
Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system
As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.
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
Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must
Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, Java, C++, Rust or similar then that translates well
Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way
Some experience with developing software that runs in the Cloud
or
some experience with systems engineering
Experience writing clean, robust, and performant software that is easily maintained by others
Compensation & Rewards:
In Ireland, the compensation range for this role is
EUR 117,600
- EUR 141,120
. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Germany (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity and we would be interested in applications from Germany.
The Opportunity:
The Grafana Alerting squad operates at the core of the Grafana open-source project
(link)
, and our mission is to provide the most in-depth way to let users manage their alerts. The backend-focused team works closely with customers and the Grafana Cloud teams to make Alerting work on-prem and at infinite scale in Cloud. The team's scope spans both Grafana Alerting and the SLOs product, so engineers get to work across two products that are deeply connected in how they help users detect and respond to problems.
Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool.
Our domain is quite large, so to get an idea of the kind of work we do, here are some projects we recently worked on:
Build distributed systems to scale alert ingestion and delivery of Prometheus-based alerts
Unify Alerting setup and delivery to work the same for Grafana and Prometheus-based alerts
Build distributed systems to scale alert evaluation of Grafana-managed alerts, reaching over 500 evaluations per second in production.
Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool.
What You’ll Be Doing:
Take an active role in influencing our roadmap and your own career objectives
Work with your team to deliver new features, then use the results to iterate and improve.
Drive projects from initial ideation all the way to operations once it is in the hands of customers
Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope
Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability
Be a part of your team’s on-call rotations and take ownership of the services you’re running
Mentor and support other team members, participate in design discussions and collaborate with the team
Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system
As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.
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
Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must
Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, Java, C++, Rust or similar then that translates well
Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way
Some experience with developing software that runs in the Cloud
or
some experience with systems engineering
Experience writing clean, robust, and performant software that is easily maintained by others
Compensation & Rewards:
In Germany, the compensation range for this role is
EUR 109,709
- EUR 131,651
. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Arago is an AI and computer hardware company focused on accelerating breakthroughs at the intersection of AI and semiconductors. The company was founded in 2024 by AI researchers and physicists with expertise in photonics, electronics, software, mathematics, and machine learning. The team is multinational and operates from hubs in France, North America, and Israel.
Задачи:
— Design and verify custom digital hardware components and architectures for high-performance, tightly integrated computation workloads.
— Design, implement, and verify RTL blocks for memory, control, and compute subsystems within Arago’s custom multiphysics computation unit.
— Collaborate with system software and architecture teams to define block-level specifications and ensure alignment with performance and integration goals.
— Develop and maintain functional verification infrastructure to validate design correctness across simulation and hardware testbenches.
— Support synthesis, timing analysis, and backend integration, working closely with physical design and CAD engineers.
— Contribute to architectural exploration and hardware-software co-design efforts to shape future iterations of Arago’s compute platform.
Требования:
— Extensive experience in RTL design (Verilog/SystemVerilog) for control logic, datapaths, memory subsystems, and specialized processing units.
— Strong understanding of digital architecture including pipelining, arbitration, memory hierarchy, and system-level integration.
— Proficiency in functional verification including testbench development, assertions, coverage metrics, and debugging; UVM experience is a plus.
— Familiarity with ASIC and FPGA design flows including synthesis, timing closure, and DFT.
— Comfortable working across the full hardware stack from architectural specification and microarchitecture to physical implementation support.
— Proficient English; French is a plus.
Условия:
— Competitive cash compensation based on location, experience, and team pay.
— Meaningful stock option plan offered early.
— Relocation bonus and coverage of moving expenses for relocation within 20 minutes of company location.
— Healthcare coverage including family options, pension contributions, professional development support.
— 25 days PTO plus public holidays.
— Ownership of a key technical domain with growth opportunities.
— Reimbursement of 50% of public transport subscription fee.
— High-paced, multicultural, engineering-led environment.
Процесс найма:
— Screening Call
— Technical meeting
— CEO Interview
— Reference Calls
— Technical Assessment
— Final Interview
Meet Arago and the Aragonians Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors. Founded in 2024 by AI researchers and physicists with deep expertise in photonics, electronics, software, mathematics, and machine learning, Arago brings together a lean team of engineers and scientists from the world’s top companies and research labs. Composed of nine nationalities and operating from hubs in France, North America, and Israel, we believe in great science and fast achievements. Our work is guided by these core principles: Do great things: we deliver work we’re proud to sign our name to. High velocity: speed matters. We move quickly, one step at a time. One unit: we’re all in this together, with relationships grounded in trust, respect, and camaraderie. Arago is backed by executives from Apple, Arm, Nvidia, Microsoft, and Hugging Face, as well as prominent US and European deeptech venture firms and exited founders.
What you’ll do
As a Senior AI/ML Scientist, you will work at the intersection of modern AI models, numerical precision, and novel computing architectures. Your mission will be to develop the methods that allow AI models to run accurately, efficiently, and reliably on Arago’s computing system. This position combines strong quantization and “digital twin” aspects: understanding how frontier models tolerate reduced precision, defining the right numerical formats and quantization strategies, and building software representations of the processor to model the physical effects that impact AI model accuracy. This role is both scientific and practical. You will help shape the bridge between AI models and Arago’s hardware.
Required Skills and Experience
Background in mathematics, physics, computer science, or a related quantitative field. Strong interest and skills in applied mathematics and statistics. Strong experience with quantization of machine learning and AI models. Strong understanding of modern model architectures, including language models, diffusion models, video generation models, and/or world models. Experience studying the impact of numerical precision, noise, or approximation on model accuracy. Experience with inference performance optimization. Good knowledge of computer architecture, GPU architecture, or parallel computing. Ability to build rigorous experimentation pipelines and translate research insights into practical engineering decisions. GitHub profile with recent and relevant projects. Language: English at a proficient level. French is a plus.
Responsibilities
Develop Arago’s quantization strategy for modern AI models, including precision studies, numerical format exploration, and model-level techniques to preserve accuracy under constrained precision. Study the impact of analog noise on the performance and inference accuracy of machine learning models, including language models, diffusion, video generation, and world models. Develop simulation tools to model analog behavior with minimal computational overhead. Build and maintain Arago's internal experimentation pipelines for precision and performance studies on both physical and emulated prototypes. Act as a technical point of contact between clients and Arago: analyze, port, and optimize client models onto Arago hardware, balancing throughput and accuracy. Collaborate with the software and digital architecture teams to support architectural enhancements based on the operator content of frontier model architectures.
Pay and benefits
Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions. Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers). Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location. Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays. Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive. Reimbursement of 50% of the public transport subscription fee. A high-paced, multicultural (with 10 nationalities), and engineering-led environment.
Офис
Constanta, Romania
San Francisco, CA
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоRemote, US; The base salary range for this role’s listed level is currently for residents of the United States only
УдалённоseniorFrance
ОфисleadLimassol, Cyprus; EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family; Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free
УдалённоNorth Macedonia; Serbia; South Africa; Poland; Morocco; Philippines
УдалённоPhilippines; South Africa; Ethiopia; Egypt; Morocco; Pakistan
УдалённоseniorRemote, Canada; Remote, US; The base salary range for this role’s listed level is currently for residents of the United States only
