Lead compositing artist
Наши ожидания от кандидата:
— Опыт работы в Nuke от 5 лет в кино и сериалах;
— Профессиональное владение техниками clean-up, keying, integration;
— Опыт работы с командой;
— Умение работать с референсами и концептами и мастер шотами;
— Опыт сборки full CG шотов;
— Развитое чувство композиции, света, цвета, а также понимание перспективы, глубины кадра и атмосферы.
Middle compositing artist
Наши ожидания от кандидата:
— Уверенное владение Nuke;
— Опыт в композитинге от 3х лет в кино и сериалах;
— Внимание к деталям;
— Профессиональное владение техниками clean-up, keying, integration;
— Умение работать с референсами и концептами и мастер шотами.
— Опыт сборки full CG шотов.
Мы предлагаем:
— Работу над топовыми российскими и международными проектами, уровень которых постоянно растет;
— Конкурентную зарплату по итогам собеседования;
— Компенсацию повышения квалификации;
— Комфортный и современный офис в Москве (м. Павелецкая);
— Доступ к корпоративным бонусам (йога, Skyeng и др.).
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Partner Account Manager for AI-Native and Boutique SI Partners at Anthropic, you will own the relationship with a portfolio of our key AI-native and boutique systems integrator partners. These are the specialist services firms enterprises turn to when they want to design, build, and deploy production-grade AI with Claude, and they are among the fastest-moving partners in our ecosystem. Your job is to turn each of those relationships into a growing joint business: a shared plan, a healthy pipeline, and customers in production.
This is a commercial role first. You will build joint business plans with partner leadership, work with your partners' sales teams on live opportunities, team up with Anthropic's Partner Sales team to bring those partners into the right accounts, and keep a clear, accurate view of how each partner is performing. You will work closely with our Partner Sales, Partner Programs, Partner Support, Partner Activations, and Partner Success teams so your partners get the full value of what Anthropic offers, and you will bring what you hear from partners back to those teams.
This role reports to the Head of Boutique & AI-Native SIs and works closely with sales, product, and applied AI teams to make sure our SI partners are equipped to win and deliver transformative AI solutions for their clients.
Responsibilities
Partner Development and Go-to-Market
Own and manage relationships with a portfolio of key AI-native and boutique SI partners, from practitioners through to founders and executive leadership
Develop and execute joint go-to-market strategies that drive partner-sourced and partner-influenced pipeline
Lead partner business planning, including setting mutual goals, identifying target accounts, and defining success metrics
Work directly with your partners' sales teams to identify opportunities and support deal progression
Partner closely with Anthropic's Partner Sales team, who lead introductions and co-sell with our account executives and account teams, so your partners are positioned on the right accounts and opportunities
Run a regular operating cadence with each partner, including business reviews against the joint plan
Cross-Functional Partnership
Work hand in hand with Partner Sales as your primary go-to-market counterpart. You own the partner relationship and the joint business plan; Partner Sales works with Anthropic's sales leaders, account executives, and solutions architects to bring your partners into deals at the right time with clear roles, and owns co-sell execution and the partner-linked pipeline and forecast
Work side by side with Partner Success Leads on the partners you share. You own the overall partner relationship and the commercial plan; the Partner Success Lead owns each customer engagement from partner match to completed outcome, including delivery quality and the customer's Claude usage
Build executive-level trust with each partner's practice and delivery leadership together with Partner Success, so that when an engagement needs the partner to restaff, escalate, or invest, the ask is taken seriously
Align with Partner Success on how each partner's Claude practice is growing, including certified bench depth, a repeatable offering in a chosen industry lane, and published customer stories, and carry that into the joint business plan and go-to-market
Bring the commercial view to the quarterly practice reviews Partner Success runs with each partner, so the partner hears one set of joint goals across pipeline, completed engagements, customer adoption, and certified practitioners
Keep the handoffs clean: with Partner Sales when a partner deal closes, and with Partner Success when an engagement is matched to one of your partners, so both teams have what you know about the partner's strengths, capacity, and proof points
Work with Partner Programs to help your partners understand and progress through Claude Partner Network tiers, requirements, and benefits
Work with Partner Activations to bring your partners into the customer engagements where they can have the most impact
Work with Partner Support to get partner questions and issues resolved quickly, and to spot patterns worth fixing at the source
Work with Partner Enablement so partners have the training, certification pathways, and technical resources they need to build and deliver with Claude
Serve as the voice of your partners inside Anthropic, informing program, enablement, and product priorities
Partner Operations and Performance Tracking
Maintain accurate tracking of partner-sourced and partner-influenced revenue using our existing systems, tools, and processes, including deal registration and CRM discipline
Keep partner performance dashboards and reporting current, and use them to run partner reviews and internal updates
Follow our standard operating procedures for partner activities, and help keep them documented and up to date
Maintain partner data integrity and consistent measurement across your portfolio
Track KPIs for each partner and for the overall health of your portfolio
Assess partner contribution, engagement, and growth potential using established frameworks, and recommend where Anthropic should invest
Track and report the return on partner investments such as funding and enablement, and give Partner Success your recommendation on funding requests from your partners
Identify opportunities to improve how we work with partners and bring them to the teams that own those programs
You may be a good fit if you have
5+ years of experience in partner development, channel management, or partner management
Demonstrated success driving revenue through partners, with pipeline and bookings results you can point to
Experience working with systems integrators, consulting firms, or similar enterprise-focused services partners
Strong business acumen, with the ability to support deal progression and navigate complex partner relationships
A commercial orientation: you are a business driver first and a relationship manager second, and you are comfortable asking a partner to invest in its own capability
Strong analytical skills, with experience tracking KPIs, working from dashboards, and using data to decide where to spend your time
Outstanding communication and relationship-building skills at all levels, from partner practitioners to founders and executives
A track record of working well across functions to get things done for partners without owning every team involved
Experience with CRM systems and partner relationship management tools
Comfort with ambiguity and a fast-changing environment
Low ego, high curiosity, and a habit of making the people around you better
Willingness to travel to support partner relationships and joint customer engagements
Strong candidates may also have
Experience in AI, cloud platforms, or other high-growth technology categories where partner enablement and technical differentiation are critical
A background working at or with AI-native services firms, boutique consultancies, or systems integrators
An understanding of how boutique services firms run, including how they staff, price, and fund a new practice
An understanding of enterprise sales cycles and how partners influence complex, multi-stakeholder deals
Hands-on familiarity with Claude, Claude Code, and how enterprises build and deploy LLM applications
Experience at a high-growth company where the program was still being built
Passion for AI and an understanding of how enterprises are adopting AI technologies
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:
$215,000
—
$300,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Canada, Vancouver, BC
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are on a mission to redefine robotics by creating humanoids that mimic human dexterity, precision, and flexibility.
As a Robotics Prototype Engineer, you will play a key role in assembling, testing, and validating cutting-edge humanoid robots.
This position requires strong technical expertise in robotic assembly, sensor calibration, and the ability to collaborate closely with engineers to troubleshoot and optimize robotic humanoid systems. If you're passionate about hands-on work with high-tech robotic systems and contributing to the next generation of humanoid robots, we'd love to hear from you.
WHAT YOU’LL DO
- Assembly and Integration: Assemble and integrate robotic end-effectors, ensuring all components (actuators, sensors, and electro-mechanical parts) function correctly.
- Testing and Troubleshooting: Perform rigorous testing to evaluate the robotic components. Troubleshoot and resolve hardware and software integration issues.
- Calibration: Calibrate sensors and commission actuators to achieve optimal performance with respect to the system requirements and expected outcomes.
- Prototyping and Development: Assist the R&D team in prototyping new robotic designs by providing feedback, assembling prototypes, and testing new components.
- Technical Support: Provide hands-on support for mechanical and electrical engineers in integrating actuators and sensors into the humanoid robot. Provide support worldwide.
- Documentation: Document test results, system issues, failure analyses, and corrective actions. Create technical manuals, SOP and maintenance guides for robotic systems.
- Maintenance and Upgrades: Perform routine maintenance and upgrades on robotic subassemblies on a system level, ensuring continuous performance and durability.
- Collaboration: Work closely with the mechanical, electrical, and firmware teams to address issues related to electro-mechanical performance and sensor feedback.
- Equipment and Inventory Management: Maintain specialized tools, equipment, and components. Ensure that inventory levels of critical parts such as actuators and sensors are regularly checked and replenished. Maintain a clean and organized workspace.
WE’RE LOOKING FOR
- Education: Bachelor’s degree in Robotics, Mechatronics, or a related engineering field.
- 3+ years of experience in assembling, testing, and troubleshooting robotic systems, with a focus on precision mechanics, custom electronics, and sensor integration.
- Strong proficiency in assembling robotic components and integrating complex mechanical and electrical systems.
- Hands-on experience with fine-pitch soldering and thin cable assembly techniques.
- Familiarity with calibrating actuators, sensors, and robotic control system applications.
- Collaboration: Excellent communication and teamwork skills, with the ability to work closely with cross-functional teams.
- Problem-Solving: Strong analytical and troubleshooting skills with the ability to diagnose issues and implement corrective actions efficiently.
- Attention to Detail: High attention to detail in handling delicate components and ensuring precise assembly of complex systems.
BONUS QUALIFICATIONS
- Experience with Robotics: Background in humanoid robot development, particularly in hand/arm systems or robotic manipulation.
- Prototyping Skills: Experience with rapid prototyping tools such as 3D printing from FDM and SLA Resin, CNC machining, or laser cutting for robotic component fabrication.
- Sensor Knowledge: Familiarity with tactile sensors, force sensors, various actuator encoders, and other sensory technologies used in robotics.
- Actuators and Motors: Experience with motor control drive systems, drive tuning, motor performance analysis, encoder protocols, drive safety protocols and system wiring.
- Human-Robot Interaction (HRI): Knowledge or experience in designing for human-robot interaction, especially in contexts where robots handle delicate or interactive tasks.
- Advanced Tools: Experience working with specialized robotic testing equipment and tools, such as precision measuring instruments, environmental testing equipment.
WHAT WE OFFER
- Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support.
- Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
- Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day.
- Competitive equity: stock options with meaningful upside as we scale.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
For this role in Vancouver, the expected base salary range is $80,000–$95,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.
Location: Canada, Vancouver, BC
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
As a Warehouse Operative Specialist, you will take hands-on ownership of day-to-day warehouse and inventory operations at our Vancouver site.
You will be responsible for receiving, storage, inventory accuracy, cycle counting, material movement, and kitting, ensuring components are available and ready to support fast-moving prototype robot builds.
As a key warehouse specialist in Vancouver, you will have the opportunity to establish and continuously improve site warehouse processes, working closely with Supply Chain, Procurement, Engineering, Production, and our global Warehouse, Inventory, Logistics & Planning (WILP) team.
This role is ideal for someone who is hands-on, organized, self-directed, and comfortable taking ownership in a fast-paced hardware environment.
WHAT MAKES THIS ROLE EXCITING
- Take ownership of warehouse and inventory operations for Humanoid's growing Vancouver robotics site
- Directly support the development and build of next-generation humanoid robots
- Help establish and improve warehouse, inventory, and material-flow processes
- Work closely with Engineering, Production, Procurement, Supply Chain, and global operations teams
- Operate in an environment where inventory accuracy and material availability directly impact robot builds
WHAT YOU'LL DO
- Own day-to-day receiving, storage, inventory control, cycle counting, kitting, and material movement for the Vancouver site
- Establish and maintain an organized stores area, location structure, labelling system, and material flow
- Receive incoming deliveries, verify materials against purchase orders, inspect for damage, shortages, or non-conformance, and accurately record receipts
- Maintain accurate, real-time inventory records in JIRA and inventory tracking systems
- Handle ESD-sensitive, high-value, serialized, and lot-controlled components, maintaining appropriate traceability
- Run regular cycle counts, investigate discrepancies, identify root causes, and maintain inventory accuracy
- Monitor inventory levels and help maintain appropriate minimum, maximum, and safety-stock levels for critical and high-usage materials
- Pick, stage, and deliver complete kits against BOMs and build schedules for prototype robot builds
- Work closely with Engineering, Production, Procurement, and Planning to identify material shortages and build risks early
- Manage material issues, unused material returns, transfers, scrap, quarantined stock, and supplier returns with accurate traceability
- Prepare outbound shipments and inter-site transfers between Vancouver, London, and Boston, supporting accurate shipping and customs documentation
- Track critical inbound and outbound shipments and escalate delays before they impact builds
- Maintain a clean, safe, and organized warehouse environment, applying 5S principles and applicable health and safety requirements
- Support asset tracking for tools, fixtures, and equipment held within the stores area
- Use Excel or Google Sheets to maintain inventory reports, count plans, and variance analysis
- Identify and implement practical improvements to receiving, storage, inventory, kitting, and material-flow processes
- Act as a trusted point of contact for warehouse and inventory processes and support colleagues in following established procedures
WHAT WE'RE LOOKING FOR
- 5+ years of hands-on warehouse, stores, inventory control, or material operations experience within a technical industry, such as robotics, electronics, aerospace, automotive, advanced manufacturing, industrial automation, or complex hardware development
- Demonstrated experience supporting engineering, manufacturing, production, or prototype/R&D environments, with a strong understanding of the material-control requirements associated with complex technical products
- Experience supporting prototype builds, engineering builds, NPI, or low-volume/high-complexity production
- Strong experience with inventory control, cycle counting, stock reconciliation, and variance investigation
- Experience with kitting and issuing materials to engineering or production against BOMs and build schedules
- Ability to confidently work with BOMs, part numbers, technical documentation, and engineering drawings
- Experience handling technical components and assemblies, including appropriate storage, identification, and traceability practices
- Practical experience with Excel or Google Sheets, including formulas, lookups, pivot tables, and inventory reporting
- Strong understanding of receiving, storage, stock movement, traceability, and inventory accuracy
- Ability to work independently, prioritize competing requirements, and take ownership of day-to-day warehouse operations
- Strong organizational skills with a high level of accuracy and attention to detail
- Clear, proactive communication skills and the ability to collaborate effectively with Engineering, Production, Procurement, and Supply Chain teams
- Ability to adapt and maintain accuracy in a fast-paced technical environment with changing build priorities
BONUS QUALIFICATIONS
- Experience working with 3PL providers, carriers, and import/export documentation
- Familiarity with WHMIS and Transportation of Dangerous Goods (TDG) requirements
- Occupational First Aid (OFA Level 1) certification
- Experience applying Lean or 5S practices
- Supply chain, logistics, warehouse, or inventory certification such as APICS CPIM or equivalent
WORKING CONDITIONS
- On-site role in Vancouver involving regular warehouse activity and material handling.
- Ability to handle items up to 23 kg / 50 lb, with appropriate equipment and reasonable accommodation provided in accordance with applicable law.
- Some schedule flexibility may be required to support critical robot builds and time-sensitive deliveries.
WHAT WE OFFER
- Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support.
- Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
- Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day.
- Competitive equity: stock options with meaningful upside as we scale.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
For this role in Vancouver, the expected base salary range is $60,000–$65,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.
Location: San Francisco
ABOUT THE ROLE
You’ll be the operational, detail-first finance partner embedded in REW doing the deep-dive transactional and analytical work that the team needs to run cleanly. Reporting directly to the REW Finance Manager (Talia Young), you will own PO QA and lifecycle operations, accruals and month-end support, GL drill-throughs for Budget vs Actuals (BvA) commentary, and vendor spend visualizations. You’ll partner closely with Leasing, Workplace Ops, Design & Construction, Workplace Experience, Sourcing, and P2P — and you’ll be expected to roll up your sleeves and deliver high-quality, defensible analysis and clean data.
CORE RESPONSIBILITIES
- PO lifecycle & ZIP power-user: Validate chart of accounts, budget availability, REW PO line descriptions, start/end dates; help manage REW POs through the PO creation/change order process in ZIP.
- Accruals & month-end: Assist with month end close; Identify POs that require accruals, collect/validate accrual inputs from owners, prepare accrual backup, input/maintain accrual details in the stratfin file, and reconcile reversals when invoices arrive.
- GL drill-through & BvA commentary: Perform transaction-level GL investigations to find root causes of variances, compile support, and prepare concise, stakeholder-ready variance narratives.
- Vendor invoice & spend visualization: Build and maintain vendor-level dashboards and quick visualizations showing spend trends, aged liabilities, and problem areas.
- Data management & actualize files: Maintain and “actualize” REW files (budget skeletons, accrual trackers, PO registers), ensure data hygiene and version control.
- Budget and forecast cycle support: Enhance budget and forecast templates and automate where possible. Collect and review submissions in detail.
- Technology & automation: Bring a technology-first mindset — prototype small automation/AI agent solutions to reduce manual work (e.g., PO QA checks, GL reconciliation assistants).
- Partnering & follow-up: Recurring operational check-ins with stakeholders as it relates to budget/forecast updates and ensuring operations running smoothly from a financial perspective.
MUST-HAVE QUALIFICATIONS
- Bachelor’s degree in Accounting, Finance, or equivalent experience.
- 4-6+ years relevant experience in FP&A/ corporate finance / finance operations
- Practical, hands-on accruals experience (monthly accruals, prepayments, reversals).
- Demonstrated experience with PO lifecycle and PO system operations
- Strong experience performing GL drill-throughs and tracing transactions to source documentation.
- Advanced Google Sheets / Excel modeling skills
- Excellent attention to detail and the ability to produce defensible, audit-ready work.
- Strong partnership and communication skills — able to extract needed information from stakeholders and drive action.
NICE-TO-HAVE
- Experience with NetSuite, Workday, Oracle, or other ERPs.
- Dashboarding experience (Tableau)
- Prior exposure to real estate, construction, workplace operations, or global food/amenities spend.
- Demonstrated experience prototyping small automations or AI agents to accelerate work.
SOFT SKILLS / COMPETENCIES
- Extremely detail-oriented and process disciplined.
- Independent problem solver who can escalate appropriately.
- Strong prioritization and time management under competing deadlines.
- Curious and technology-forward — comfortable testing small automation/agent ideas.
- Partnership-first: builds rapport quickly and communicates clearly with non-finance stakeholders.
Location: San Francisco, CA; Boston, MA; New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE
We're looking for a Fullstack Engineer to work on LangSmith, our commercial AI observability and evals platform product. In this role, you'll have the opportunity to build new features and functionality for the platform while working close enterprise customers, developer end-users and internal stakeholders.
WHAT YOU WILL DO
- Develop and implement key product features working across our entire Go, Python, and Typescript stack
- Collaborate closely with product and design teams to iterate on new features and enhance the product roadmap
- Drive aggressive project timelines while ensuring high engineering standards are being met by writing clean, maintainable, and well-tested code
HOW TO BE SUCCESSFUL IN THIS ROLE
- 2+ years of experience in software engineering working on complex platform products
- Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend
- Solid understanding of database systems, particularly Postgres and Redis
- Experience designing and scaling APIs, preferably in high-performance, data-intensive applications
- Strong ownership and a “get stuff done” mindset - comfortable shipping fast and iterating based on user feedback
- Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers
- Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms
Compensation
Annual salary range: $145,000-180,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: San Francisco
Workplace: OnSite
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
Role Summary
We're looking for a proactive, detail-oriented Workplace Operations Manager to keep our San Francisco office running smoothly. You'll be the backbone of our day-to-day operations. Managing everything from vendor relationships and office logistics to event planning. This is a great fit for someone who thrives in a fast-paced environment, loves solving problems before they become problems, and takes pride in creating a great workplace experience for the whole team.
What You Will Do:
- Provide on-site support and serve as a first point of contact for employee questions
- Perform daily inspections to keep the workplace clean, safe, and orderly.
- Manage office repairs, maintenance schedules, and vendor relationships, escalating issues when necessary.
- Handle incoming mail and package processing.
- Support and manage onsite programs including food, snack, and beverage services.
- Manage vendor relationships and contracts in partnership with Legal, Finance, and Procurement, from sourcing through renewal.
- Plan and execute employee engagement events for the local team.
- Serve as the primary point of contact for facilities issues and building management.
- Help maintain a safe, organized, and welcoming office environment.
Who You Are:
- 3+ years of experience in an office management or workplace operations role (startup or tech company experience a plus)
- Excellent organizational skills with strong attention to detail
- Strong written and verbal communication skills, with a friendly, professional demeanor
- Ability to multitask and prioritize in a fast-paced, ever-changing environment
- A proactive, "can-do," "no task too small" attitude and a genuine desire to help others
- Tech-savvy with Google Workspace, Slack, Notion, and ticketing systems
- Experience working across different time zones is a plus
- A collaborative team player who works well with colleagues across departments and builds strong relationships throughout the office
- A plus: experience with access control and visitor management systems (e.g., badge provisioning, guest registration, security credentialing)
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Fujairah, United Arab Emirates
Workplace: on-site
Deluxe Holiday Homes
is Dubai's leading vacation rental management firm, boasting a comprehensive suite of services that spans across vacation rentals, property management, real estate brokerage, and more. With a commitment to innovation, professionalism, and excellence, we manage over 800+ properties and employ a dedicated team of over 250+ professionals.
Deluxe Holiday Homes is seeking a dedicated and detail-oriented
Housekeeping Attendant
to join our Housekeeping department. As a Housekeeping Attendant, you will play a crucial role in ensuring our guests have a comfortable and enjoyable stay.
Responsibilities:
Performing a variety of cleaning activities such as sweeping, mopping, dusting, and polishing.
Ensuring all rooms and common areas are clean and well-maintained.
Changing bed linen and making beds.
Stocking and replenishing amenities and supplies.
Reporting any maintenance issues or safety hazards.
Assisting guests with any requests or inquiries.
Additional task given by the supervisor.
Benefits:
Competitive salary package + Over Time
Accommodation and transportation.
30 days of paid vacation.
Employment Visa, Health Insurance, Emirates ID.
An engaged team that works together to deliver without politics.
Requirements:
Prior experience in housekeeping or a similar role is preferred.
Knowledge of cleaning chemicals and supplies.
Ability to work independently and as part of a team.
Good communication and customer service skills.
Must be immediately available to join.
If you are a reliable and hardworking individual who takes pride in maintaining a clean and welcoming environment, we would love to hear from you. Join our team at Deluxe Holiday Homes and contribute to creating memorable experiences for our guests.
Location: Valencia
Workplace: OnSite
ROLE HIGHLIGHTS:
- Software Engineer, Simulation and Modeling
- Location: Valencia
- Reports to: Reports to: Laboratory Lead & Test Architect
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
As a Software Engineer, Simulation and Modeling, you’ll build the software world the satellites live in (orbits, emitters, signals, truth and scoring) so the whole team can ask “what if” and get a number back. ICEYE is building a space-based RF constellation covering 100 MHz to 30 GHz alongside its SAR fleet, and the Experimentation Lab in Valencia is where we develop, simulate and validate that capability.
Customers and our own engineers ask questions we currently answer by hand-waving: what revisit a cluster gives over an area, how many emitters we detect in a crowded scene, how geolocation accuracy moves with cluster spacing or timing error, and what a next-generation architecture choice buys. The answers need a simulation framework that models the constellation and the emitters end to end, generates the signals each satellite would see, and scores what comes out against a known truth. It doesn’t exist yet. You’ll build it, and it will become a tool used by engineers, analysts and customer-facing staff.
You’ll work daily with the lab, signal processing and ground segment teams, and you’ll have direct influence on how ICEYE builds and proves this capability.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Model the constellation: orbit propagation, cluster geometry, attitude and pointing, antenna beams, access and contact windows, with spacing and timing as swept variables.
- Model the emitters and the theatre: emitters as state machines with real antenna patterns, scan behaviour, modes and duty cycles, placed at order-of-battle density. Start from the lab’s real captures and extend synthetically.
- Generate the signals: propagation and link modelling (path loss, delay, Doppler, ionosphere in the low band) and synthetic I/Q per satellite, at a fidelity the RF hardware and the processing chain can consume.
- Own the truth together with the processing team: a truth ledger of every simulated emission, position and time, kept out of reach of the system under test, plus the association and scoring that turn a run into detection rate, false-alarm rate, geolocation accuracy and latency.
- Drive the hardware together with the RF team: provide the geometry and timing the channel simulator and playback hardware need, so a recorded radar can be heard by three simulated satellites with the right delays and Doppler.
- Make it a platform: versioned scenarios, seeded and reproducible runs, provenance on every result, tests, CI, documentation and an interface that non-authors can use.
- Answer real questions: capacity, revisit and performance studies for the payload, product and sales teams, and architecture trades for future generations.
WHAT WE’RE LOOKING FOR
Must haves:
- Strong software engineering in Python (and ideally a compiled language): clean architecture, version control, testing, code review, packaging
- Experience building a simulation or model of a physical system that others used, and validating it against measurement or real data
- Numerical and scientific computing: NumPy/SciPy or equivalent, vectorisation, performance awareness
- Working knowledge of at least one of orbital mechanics and access computation, RF link budgets and propagation, or signal processing
- Habits that make results reproducible: seeds, configuration management, data provenance
- Clear written and spoken English
Nice to haves:
- Constellation, mission or system-level modeling and simulation (STK, Orekit, GMAT, Basilisk or in-house)
- Radar, EW or emitter modeling; scenario or order-of-battle generation
- TDOA/FDOA/AoA geolocation or estimation theory
- Synthetic I/Q generation, GPU acceleration, or real-time and hardware-in-the-loop interfaces
- Cloud-native deployment, containers, workflow orchestration, and data stores for large runs
- A simulation framework of yours that outlived your involvement in it
- Eligibility for national security clearance (an advantage)
What success looks like:
- 6 months: a first end-to-end scenario (cluster geometry, a handful of emitters, synthetic I/Q per satellite, truth logged, a first score) is used to answer at least one real capacity or performance question.
- 12 months: a reproducible, documented framework runs without you on the team; geometry drives the RF channel simulator; real captures enter scenarios alongside synthetic emitters.
- 24 months: the simulation is part of the end-to-end loop with the flatsat and ground pipeline, runs in regression, and backs performance numbers we put in front of customers.
APPLICATION PROCESS
- Application Screening
- TA call
- Hiring Manager call
- Onsite interview
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity and we're interested in candidates based in the US or Canada. Residents of Quebec are not eligible for this role.
Senior Full-Stack Software Engineer, Grafana Data Source Plugins
The Opportunity:
As a Senior Full-Stack Engineer in the Grafana Data Source Plugins squad, you will take a leading role in developing and enhancing a diverse portfolio of data source plugins that retrieve the data powering Grafana dashboards used by teams worldwide.
Our team focuses on continuously improving data source plugins, ensuring seamless experience for human and agent users alike. A key aspect of this role is guaranteeing the smooth operation and reliability of our plugins in the Grafana Cloud, helping us deliver on our commitment to world-class observability tools.
What You’ll Be Doing:
Some data source plugins we own:
Prometheus, Loki, Infinity, MySQL, PostgreSQL, AWS Cloudwatch, and Clickhouse. The full catalog is listed
here
.
A typical “day in the life” could include:
Building or improving Grafana plugins to integrate third party services or databases into Grafana
Supporting the operations and reliability of our plugins in Grafana Cloud
Coming up with suggestions for process improvements
Integrating data sources with agentic workflows such as Grafana Assistant
Providing technical support in customer escalations
Working closely with the rest of the Grafana Division
What Makes You a Great Fit:
You know how to transform ideas into working code, you are able to design a solution, get feedback and deliver large projects.
You are a self-driven individual who understands the power of feedback loops in making roadmap decisions and driving our product forward.
You are a motivated self starter with a bias towards action, and willing to take on any challenge
You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs.
You are an excellent communicator and you enjoy collaboration
You are comfortable working in a remote-first company
Requirements:
Solid experience with Golang & Typescript
Experience with Kubernetes & microservices
Experience writing clean, robust, and performant software that is easily maintained by others
Experience participating in an on-call rotation and performing operations/SRE tasks
Bonus Points For:
You have been a user of Grafana and Grafana Data Sources
You have expertise in one of the underlying databases we support
You have strong experience working with a Product Manager or external stakeholders
In the United States, the Base compensation range for this role is CAD $
164,490 - $197,389
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
#LI-Remote
#LI-Remote
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote position. We are seeking candidates in US and Canada.
The Opportunity:
We build
Tempo
, the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack.
2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants).
Over the next year, you will help us:
Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes.
Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction.
Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on.
Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors.
Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations.
What You’ll Be Doing:
As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team.
Deliver significant technical projects.
Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction.
Own major components of Tempo.
Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team.
Build APIs for humans and agents.
Help shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably.
Contribute to operational excellence.
Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts.
Collaborate with Product and sibling teams.
Work with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them.
Mentor and support engineers.
Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers.
Participate in on-call
for the services you help build, and contribute to incident response and post-incident learning.
Contribute to open source.
Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
Example problems you could work on
These are the kinds of projects landing in 2026:
Trace aggregation and higher-density APIs:
extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant.
Autoscaling end-to-end:
customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down.
Agent-scale ingestion and query:
guardrails for bursty, high-cardinality, agent-generated workloads.
Query performance:
new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges.
Rollouts and multi-cell operations:
parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise.
Limits and self-service:
drive customer-facing configuration and observability so escalations trend toward zero.
What Makes You a Great Fit:
Technical ownership.
A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow.
Solid systems experience.
Significant hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar.
Strong software craftsmanship.
You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship.
Strong Go, or a path to it.
We write Tempo in Go. Solid experience in other systems languages (Rust, C, C++) translates well.
Operational mindset.
You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore.
Customer focus and pragmatism.
You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate.
Collaboration and clear writing.
You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment.
Bonus Points For:
Experience with tracing, OpenTelemetry, or large-scale observability systems.
Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents).
Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads.
Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes.
Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses.
Open-source contribution or maintainership, and comfort engaging a community in the open.
Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab).
Experience in a fully remote, globally distributed team.
How we work
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
In US, the OTE (On-Target Earnings)/Base compensation range for this role is USD $154,445 - $185.334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote position. We are seeking candidates in US and Canada.
The Opportunity:
We build
Tempo
, the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack.
2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants).
Over the next year, you will help us:
Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes.
Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction.
Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on.
Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors.
Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations.
What You’ll Be Doing:
As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team.
Deliver significant technical projects.
Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction.
Own major components of Tempo.
Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team.
Build APIs for humans and agents.
Help shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably.
Contribute to operational excellence.
Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts.
Collaborate with Product and sibling teams.
Work with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them.
Mentor and support engineers.
Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers.
Participate in on-call
for the services you help build, and contribute to incident response and post-incident learning.
Contribute to open source.
Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
Example problems you could work on
These are the kinds of projects landing in 2026:
Trace aggregation and higher-density APIs:
extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant.
Autoscaling end-to-end:
customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down.
Agent-scale ingestion and query:
guardrails for bursty, high-cardinality, agent-generated workloads.
Query performance:
new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges.
Rollouts and multi-cell operations:
parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise.
Limits and self-service:
drive customer-facing configuration and observability so escalations trend toward zero.
What Makes You a Great Fit:
Technical ownership.
A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow.
Solid systems experience.
Significant hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar.
Strong software craftsmanship.
You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship.
Strong Go, or a path to it.
We write Tempo in Go. Solid experience in other systems languages (Rust, C, C++) translates well.
Operational mindset.
You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore.
Customer focus and pragmatism.
You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate.
Collaboration and clear writing.
You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment.
Bonus Points For:
Experience with tracing, OpenTelemetry, or large-scale observability systems.
Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents).
Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads.
Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes.
Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses.
Open-source contribution or maintainership, and comfort engaging a community in the open.
Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab).
Experience in a fully remote, globally distributed team.
How we work
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
In Canada, the OTE (On-Target Earnings)/Base compensation range for this role is CAD $164,490 - $197,389. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity and we're interested in candidates based in the US or Canada. Residents of Quebec are not eligible for this role.
Senior Full-Stack Software Engineer, Grafana Data Source Plugins
The Opportunity:
As a Senior Full-Stack Engineer in the Grafana Data Source Plugins squad, you will take a leading role in developing and enhancing a diverse portfolio of data source plugins that retrieve the data powering Grafana dashboards used by teams worldwide.
Our team focuses on continuously improving data source plugins, ensuring seamless experience for human and agent users alike. A key aspect of this role is guaranteeing the smooth operation and reliability of our plugins in the Grafana Cloud, helping us deliver on our commitment to world-class observability tools.
What You’ll Be Doing:
Some data source plugins we own:
Prometheus, Loki, Infinity, MySQL, PostgreSQL, AWS Cloudwatch, and Clickhouse. The full catalog is listed
here
.
A typical “day in the life” could include:
Building or improving Grafana plugins to integrate third party services or databases into Grafana
Supporting the operations and reliability of our plugins in Grafana Cloud
Coming up with suggestions for process improvements
Integrating data sources with agentic workflows such as Grafana Assistant
Providing technical support in customer escalations
Working closely with the rest of the Grafana Division
What Makes You a Great Fit:
You know how to transform ideas into working code, you are able to design a solution, get feedback and deliver large projects.
You are a self-driven individual who understands the power of feedback loops in making roadmap decisions and driving our product forward.
You are a motivated self starter with a bias towards action, and willing to take on any challenge
You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs.
You are an excellent communicator and you enjoy collaboration
You are comfortable working in a remote-first company
Requirements:
Solid experience with Golang & Typescript
Experience with Kubernetes & microservices
Experience writing clean, robust, and performant software that is easily maintained by others
Experience participating in an on-call rotation and performing operations/SRE tasks
Bonus Points For:
You have been a user of Grafana and Grafana Data Sources
You have expertise in one of the underlying databases we support
You have strong experience working with a Product Manager or external stakeholders
In the United States, the Base compensation range for this role is USD $
154,445 - $185,334
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
#LI-Remote
#LI-Remote
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Europe; New York; Toronto
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Key Overview:
As a Member of Technical Staff in Post-Training, you will train our large language models (LLMs) with reinforcement learning and develop methods that help them generalize beyond the distribution they were trained on. You will design the training recipes, environments, and evaluations that tell us whether a model has truly learned a skill or has only fitted its training tasks, and turn what works into the recipes behind our production models. You will work closely with the post-training data infrastructure, evaluation, and pre-training teams.
Key Responsibilities
- Design, run, and analyse large-scale RL post-training experiments (e.g., RLHF, RL from verifiable rewards).
- Research and develop methods that improve out-of-distribution generalization, such as reward design, environment and task diversity, curricula, and regularization.
- Build held-out evaluations that measure generalization to unseen tasks, domains, and formats, and that catch reward hacking and benchmark overfitting.
- Diagnose training dynamics and failure modes, including instability, reward over-optimization, and capability regressions.
- Turn successful research into robust, reproducible training recipes for production models.
Qualifications
- Strong research and software engineering skills, with hands-on experience training LLMs.
- Experience applying reinforcement learning to LLMs (e.g., PPO, GRPO, RLHF, RLVR), ideally at scale.
- Track record of work on generalization, robustness, or distribution shift, through publications or shipped models.
- Rigorous experimental practice: clean ablations, careful controls, and sound conclusions from noisy results.
- Experience with distributed training (e.g., JAX, PyTorch, FSDP, Megatron) is a plus.
- Excellent communication skills.
- Deep understanding of data quality principles and best practices: demonstrates willingness to dive deep into data while possessing strong intuition for assessing the quality of datasets and anticipating how different data characteristics will impact model training outcomes.
Working Location
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
-Разрабатывать и поддерживать Android-приложения на Kotlin под руководством более опытных разработчиков. -Реализовывать новый функционал и дорабатывать существующие экраны и компоненты.
Location: London
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
KEY RESPONSIBILITIES:
Communication & Stakeholder Management:
- Act as the vital bridge between technical data architecture and business-focused enterprise treasury operations, translating complex data findings into clear, non-technical insights.
- Proactively communicate with cross-regional teams (finance, engineering, and global treasury) across multiple time zones, ensuring alignment on data definitions, reporting requirements, and project timelines.
- Draft clear, concise documentation for data pipelines, dashboard usage, and reporting metrics to ensure global teams can easily understand and leverage your tools.
- Present analytical findings and AI/ML capabilities confidently to both the Manager and broader global stakeholders.
Data Modeling & Technical Execution:
- Take technical requirements translated by the Manager and develop robust data pipelines and models to support treasury operations.
- Extract, transform, and load (ETL/ELT) complex datasets using modern tech stacks including dbt, Google BigQuery, and Snowflake.
- Ensure data architecture is scalable, reliable, and optimized for rapid querying and analysis.
Reporting, BI & Visualization:
- Design, build, and maintain automated, user-friendly treasury dashboards and reports using Looker/Tableau/Power BI (or similar tools).
- Ensure all reports are highly accurate, timely, and aligned with broader business OKRs.
- Uncover and visualize key trends across all treasury domains to support senior stakeholders.
AI & Advanced Analytics Initiatives:
- Explore and implement AI, machine learning, and predictive analytics to improve treasury insights.
- Drive continuous improvement by evaluating new tools and methodologies to keep the team’s tech stack at the cutting edge.
QUALIFICATIONS:
- Education: Bachelor’s degree in Data Science, Computer Science, Mathematics, Finance, or a related quantitative field (Not Mandatory).
- Experience:
- 2–4 years of experience in data analytics, data engineering, or business intelligence, preferably within a fintech, banking, payments, or financial services company.
- Proven track record of working collaboratively and communicating effectively in distributed or cross-regional teams.
- Technical Skills:
- Advanced proficiency in SQL and cloud data warehousing (specifically BigQuery and Snowflake).
- Hands-on experience with data transformation tools (dbt).
- Strong expertise in building dashboards and visualizations in Looker.
- Bonus: Practical experience or strong familiarity with integrating AI/ML models or leveraging Python/R for predictive analytics.
KEY COMPETENCIES:
- Exceptional Communicator: Strong written and verbal communication skills; able to distill complex, technical data into clear narratives for diverse, global audiences.
- Technical Agility: Deep understanding of the modern big data tech stack with an appetite for adopting new technologies, particularly in the AI space.
- Collaboration & Teamwork: Thrives in a globally distributed environment, working seamlessly with diverse teams across borders and cultures.
- Analytical Problem-Solving: Highly skilled at diving into complex, messy data to extract clean, reliable, and actionable insights.
- Execution-Oriented: Ability to take high-level objectives and technical tasks delegated by the Manager and deliver scalable solutions efficiently.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
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ОфисSan Francisco; Experience working across different time zones is a plus; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
ОфисValencia
seniorCanada (Remote)
seniorUnited States (Remote)
seniorCanada (Remote)
seniorUnited States (Remote)
УдалённоEurope; New York; Toronto
ОфисLondon; Proactively communicate with cross-regional teams (finance, engineering, and global treasury) across multiple time zones, ensuring alignment on data definitions, reporting requirements, and project timelines
Все вакансии в одном месте - страница 18 · Job Hunters
