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Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion is looking for an experienced Lifecycle Marketing Manager, Campaign Strategy & Execution to develop and execute campaigns that help users discover value, adopt key workflows, and deepen their use of Notion. You'll own campaigns end to end: translating business and customer opportunities into clear strategies, defining audiences and journeys, coordinating creative and technical production, launching across email and in-product channels, and measuring incremental impact. This role combines strategic judgment with hands-on execution. You'll partner closely with Lifecycle Marketing, Product Marketing, Product Growth, Data Science, Marketing Operations, and creative partners. You should be equally comfortable shaping a campaign brief, building a journey in Customer.io http://Customer.io, resolving execution details, and interpreting results. Scope guardrails: this role owns campaign strategy, hands-on execution, cross-functional delivery, and performance analysis. It is not the primary Customer.io http://Customer.io architect or incident-response owner, a general intake coordinator, or a production-only role receiving prewritten briefs. The person should operate as an independent campaign owner who can take work from an ambiguous opportunity to a high-quality, measured launch. This role may be based in either our San Francisco or New York City offices. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Own the campaign portfolio. Independently lead a portfolio of launch, one-off, and evergreen lifecycle campaigns with clear prioritization and predictable delivery. - Turn opportunities into strategies. Translate product launches, lifecycle moments, and business priorities into clear objectives, audiences, journeys, channel plans, and success metrics. - Build high-impact lifecycle programs. Develop campaigns across onboarding, activation, adoption, collaboration, monetization, retention, and resurrection. - Execute from brief to measurement. Own audience creation, build, QA, localization, launch readiness, and post-campaign analysis across email and in-product messaging. - Improve foundational journeys. Audit existing programs and recommend which should be maintained, improved, rebuilt, or retired; lead the rebuild of priority onboarding or adoption journeys. - Raise the experimentation bar. Develop testable hypotheses and use segmentation, personalization, holdouts, and A/B tests to understand incremental impact. - Measure customer and business outcomes. Connect campaigns to activation, product adoption, collaboration, conversion, retention, or qualified sales outcomes—not only opens and clicks. - Lead cross-functional delivery. Coordinate dependencies across Product, Engineering, Data Science, Product Marketing, Marketing Operations, Demand Generation, Sales, and external partners. - Create repeatable systems. Turn recurring campaign work into templates, playbooks, and reusable operating patterns that improve quality and velocity. - Enable safe self-service. Help cross-functional partners execute effectively while maintaining Lifecycle's strategic, customer-experience, and quality standards. SKILLS YOU'LL NEED TO BRING: - Significant experience owning lifecycle, CRM, growth, or product-marketing campaigns from strategy through execution. - A track record of independently leading complex, cross-functional campaigns at meaningful scale. - Strong customer-journey thinking across activation, adoption, engagement, conversion, and retention. - Hands-on experience with a lifecycle platform such as Customer.io http://Customer.io, Braze, Iterable, or Salesforce Marketing Cloud. - Strong audience segmentation, personalization, experimentation, and campaign-measurement skills. - Ability to use data to prioritize opportunities, evaluate results, and change strategy; working knowledge of SQL or self-serve analytics is a plus. - Excellent project leadership: clear briefs, dependable execution, proactive risk management, and crisp stakeholder communication. - Strong editorial and customer judgment—you care about sending useful, relevant messages rather than maximizing message volume. - Comfort operating in a product-led, highly cross-functional environment with incomplete information. - Experience with B2B or product-led growth, product telemetry, in-product messaging, or AI-assisted campaign workflows is a plus. - 8+ total years relevant + transferrable experience. WHAT SUCCESS LOOKS LIKE IN THE FIRST SIX MONTHS: - Establish a clear operating rhythm for launch, one-off, and evergreen campaigns. - Independently own a meaningful portfolio from strategy through performance analysis. - Launch a materially improved onboarding, activation, or adoption journey with a defined experiment and measurement plan. - Establish consistent briefs, segmentation standards, QA, launch-readiness checks, and post-campaign readouts. - Demonstrate credible incremental movement in a product or business outcome. - Create meaningful capacity for senior Lifecycle teammates to focus on systems architecture, journey strategy, personalization, and modernization. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $190,000 – $220,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

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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, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Order Management sits at the center of how Figma turns contracts into revenue — every deal our Sales team closes passes through this team before it's invoiced. As part of the Revenue Operations team within Accounting, we own order form review, invoicing, and billing support for Sales and Support for a global customer base. As Figma grows, we're building the order-to-cash process for what comes next, and this role is a builder's seat: you'll take on our most complex orders while helping shape how orders get processed, reviewed, and automated as we scale. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Own the order process end to end — from contract review and order entry through to invoicing — processing orders accurately and within SLA, including our most complex work with validation for completeness, accuracy and policy compliance Serve as a go-to resource for Sales and Support on billing and invoicing questions, and partner with cross functional partners to investigate discrepancies and booking blockers across systems — following up to conclusion Detail-review routine orders processed by other analysts and our BPO partners, identifying error patterns and driving them to resolution Play a key role in UAT for new products, SKUs, pricing models, and billing system releases — writing and executing test scripts, running end-to-end tests from order through billing, documenting bugs clearly, and working with cross functional partners to resolve Support month-end and quarter-end close, including reconciliations, accruals, and data integrity across systems, while maintaining SOX controls, audit documentation, and the SOPs and test cases your areas run on Take ownership of ad-hoc projects related to process improvement, system upgrades, or controls enhancements across the order-to-cash lifecycle We'd love to hear from you if you have: 3+ years of experience in order management, order-to-cash, billing operations, or revenue operations at a SaaS company Hands-on experience with Salesforce (RLM or CPQ), an ERP such as NetSuite, and a payment processor such as Stripe Clear understanding of how order entry decisions flow downstream into billing and revenue Advanced Excel and Google Sheets skills — pivots, XLOOKUP, reconciling large datasets across systems — and comfort with data query tools Exceptional attention to detail and a track record of producing quality work under quarter-end pressure, with excellent written and verbal communication across finance and non-finance audiences At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. For non-exempt employees, PTO is accrued at a rate equivalent to 15 days per year for full‑time employees. Accrued PTO may be used for vacation or personal time, subject to company policy and manager approval. In addition, the company provides 10 paid sick days annually for non-exempt full-time employees. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Hourly Base Pay Range: $50.50 — $73.60 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Если вы умеете быстро мыслить, структурировать задачи, ждем ваше резюме Чем предстоит заниматься разрабатывать product positioning и messaging для B2B-аудиторий (enterprise, SMB), управлять линейкой продуктов и проводить customer development; Что ждем от кандидата: опыт в product marketing от 3-х.

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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. The Opportunity: Grafana Labs is seeking a Senior Partner Solutions Engineer to join its high growth startup environment and help scale cloud partnerships, with a dedicated focus on joint go to market activities with Cloud Service Providers (CSP) including Amazon Web Services (AWS) and Google Cloud (GCP). The successful candidate will be instrumental in enabling partner success through education, enablement, direct engagement, support of events, and build content that helps our CSP’s position and demonstrate Grafana capabilities. What You’ll Be Doing: Partnering with Channel Sales and Field Sales to convey Grafana’s vision, value, and technical strategy to cloud partners Leading technical engagement with partners to drive deal progression and close opportunities Delivering product demos, technical presentations, and hands-on enablement sessions Develop and deliver training, onboarding, and ongoing education for solutions architects, and technical teams Represent Grafana Labs through technical presentations, live demos, webinars, conference sessions, and regional partner events Create reference architectures, demo environments, solution guides, and presentations that explain the value of Grafana Cloud alongside cloud provider services. Track partner readiness, reuse of technical assets, and progress of joint opportunities, and bring partner insights back to product and GTM teams Shaping and expanding the reach of Grafana Partner University across multiple partner personas Collaborating with internal teams to provide product and competitive feedback Support selling motions like Sell-To, Embedded, and PoweredBy, either directly or jointly with partners Run high impact workshops and 1:1 training to generate and progress pipeline Travelling up to 50% to support cloud partner events, workshops, and field activities What Makes You a Great Fit: Located: United States (Remote) 6+ years in pre-sales or solution architecture, ideally within the observability space Strong experience selling SaaS software across the NORAM region Proven use of MEDDIC or similar qualification frameworks Excellent communication and interpersonal skills, especially in remote, global teams Demonstrated ability to operate in a fast-paced, ambiguous, startup environment Strong judgement, leadership, and problem-solving abilities Passion for education, enablement, and helping others succeed technically Bonus Points For: Experience with CSP’s and a strong understanding of their core infrastructure services. Experience with cloud marketplaces, co-selling, or joint solution launches. Solid understanding of observability and cloud native tooling Background in OSS first companies Experience with Grafana, Prometheus, and Loki Hands-on experience deploying and operating Kubernetes Bachelor’s degree in CS, IT, Math, or related field (or equivalent experience) Compensation & Rewards: In the United States, the OTE (On-Target Earnings) compensation range for this role is $204,000 - $244,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Responsibilities Research and discovery. Get to know both sides of the XPN marketplace: the game publishers running creator campaigns and the creators bringing those campaigns to life.

90 000 – 125 000 $

Location: Berlin, Germany About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Our Global Food Safety team exists to keep Wolt’s operations safe, compliant, and trusted across every market we’re in. We partner closely with the business on growth and operational excellence initiatives, building customer trust through clear standards, data-driven improvements, and food safety programmes that actually hold up on the ground. We’re looking for an Associate Manager, Food Safety to help us build and run these programmes across our European markets. You’ll work closely with operations, legal, policy, and frontline teams to protect our customers and partners, and to keep our sites compliant as we grow. Expect regular travel across our European locations. What you’ll be doing This is a hands-on role that blends policy work with real, on-the-ground problem-solving. You’ll partner with country and area leaders, support external audits, and help translate global food safety standards into steps that actually work locally. Day-to-day in this role you’ll: Partner with country and area leaders to manage food safety compliance and find pragmatic solutions to emerging risks. Support our external audit programme, coordinating schedules with third-party auditors and local food authorities. Help develop and maintain our global food safety policies, procedures, and HACCP plans, translating them into concrete steps at country level. Handle food safety issues, enquiries, and product recalls, guiding country and site teams through execution and customer communication. Work with Legal and Policy to keep us ahead of food safety regulations across our European markets. Track compliance metrics and use the data to spot trends and drive improvements Our humble expectations* Formal food safety qualification (e.g. Food Science, Microbiology, Public Health), or equivalent hands-on experience. 5+ years of progressive food safety or regulatory compliance experience in hospitality, retail, quick commerce, or manufacturing. Strong working knowledge of HACCP and food safety standards such as FSSC 22000, ISO 22000, IFS, or BRC. Proven experience managing food safety programmes across multi-country, multi-unit operations, with a pragmatic, solutions-focused approach. Proven track record conducting internal/external audits, risk assessments, and gap analyses, with the ability to drive follow-up actions that deliver real compliance improvement. Experience implementing policies and procedures in response to new business initiatives or evolving risk environments. Fluent in English, given the multi-country scope of this role. Willingness and ability to travel regularly across our European markets. What we offer The chance to build and shape food safety practices across a fast-growing set of European markets, with real ownership over how you get there. A seat on a collaborative, supportive global team genuinely invested in your growth as a leader. Cross-functional exposure — you’ll work directly with legal, policy, ops, and country teams, not from behind a desk. Next steps* Applications are reviewed on a rolling basis. If shortlisted, you’ll start with a screening call with our Talent Acquisition Partner, followed by an interview with the hiring team, a short take-home assignment, and a final debrief. We aim to move quickly and will keep you posted throughout. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: California Workplace: onsite Role Overview   We are looking for a Hardware Lab Technician to own the physical side of a large-scale robot data collection operation. You’ll keep the fleet running, build what’s next, and be the person the lab calls when something stops working. This is a hands-on role across research and low-volume production where embodiments, grippers, and camera rigs change fast—and the hardware has to keep up. Day-to-day teleoperation is handled by a dedicated operator team you support; you maintain what they run on and help ensure data quality through reliable, well-calibrated hardware.   Project Details Location: 100% Onsite (Santa Clara, CA, US) Employment: Full-time W-2 Shifts: Monday–Friday, 7AM - 3:30PM or 9AM - 5:30PM  Start Date: ASAP Contract Duration: 12-month contract with possibility of extension Rate: $40 per /hour What You’ll Do Build, wire, and bring up data collection stations — robot arms, multi-camera rigs, workstations, teleoperation hardware, and cable management that survives daily operator use. Keep the fleet running: daily checks, preventive maintenance, calibration routines, and diagnosing faults on arms, hands, and sensors. Swap and integrate end-effectors and grippers, dexterous hands, force/torque and tactile sensors, and RGB-D cameras. Run calibration and firmware procedures across the fleet, and catch drift before it reaches the data. Assemble and iterate prototype hardware coming out of our mechanical and electrical engineers — printed parts, off-the-shelf components, vendor-fabricated parts, and custom harnesses. Soldering, crimping, connectorization, harness building, and PCB rework support at the bench. Own the lab's physical state: spares and consumables inventory, parts kitting, bench and tool organization, and shipping, returns, and RMAs with vendors. Support teleoperators on hardware issues during live collection — triage fast, fix or escalate, and get the station back up. Document what you do. Build sheets, maintenance logs, calibration records, and hardware SOPs the next technician can follow. Help bring up new embodiments and new stations alongside engineers and researchers. What we need to see 3+ years hands-on technician experience in a lab, prototyping, or low-volume build environment — robotics, medical devices, aerospace, semiconductor equipment, or similar. AS in a technical field, a relevant trade or technical certificate, or equivalent hands-on experience. Mechanical assembly fundamentals: fasteners and torque, bearings, belts, linkages, and the ability to read CAD and mechanical drawings (Onshape, SolidWorks, or similar). Electrical hands: soldering including basic SMD rework, crimping and connectorization, harness building, and confident use of a multimeter and oscilloscope. Comfortable in Linux at the command line — SSH into a workstation, run a calibration script, read a log, and tell us what it said. Experience with motors, encoders, and sensor integration, and an understanding of what a bad ground or a marginal cable does to a data stream. Methodical and self-documenting. An undocumented fix is a future outage. Comfortable with ambiguity and frequent change, and able to prioritize when more than one lab needs you at the same time. Able to work on-site in Santa Clara, with flexibility on shift coverage as the labs run extended hours. Ways to stand out from the crowd Humanoid or bimanual platforms (Unitree, Fourier, ALOHA/ARX-class rigs) and dexterous hands. Maintenance and calibration on collaborative or industrial arms — UR, Franka, xArm, ARX, or equivalent. Multi-camera rig build and calibration; RealSense, ZED, or Orbbec-class depth cameras. Running and maintaining FDM or SLA printers, and designing your own simple fixtures and adapters. Light scripting in Python or bash to automate a repetitive bench or calibration task. Experience in a high-throughput lab or production line where uptime or yield was a number someone tracked. Vendor-facing experience: RMAs, lead times, and spares planning. Job reference: #L1-CC1 Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

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: Mumbai, India Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. We are looking for Business Head/Client Partner Manager to join our team in Mumbai, India. In this role, you will be responsible for developing strategies that grow the market. You will lead the regional team to cultivate relationships with businesses, develop and unlock opportunities for advertisers to grow, bring industry insights and plan growth and acquisition activities.    As a Business Head/Client Partner Manager, you are expected to provide deep product insight and ongoing consultative support to the sales team and their clients. What You'll Do :- Develop strategies, tactics, sales plans, and profit targets for the region Maintain a relationship with our media partner and build together a strategy to grow the business. Manage the day-to-day administration and long-term financial health of the business unit Lead both internal and external QBR process Manage sales routines on a weekly basis Work closely with cross-functional project teams to maintain continuous product knowledge Resolve client issues in an efficient, tactful manner, and support the implementation of solutions that prevent future problems Create an innovative strategy to evangelize and grow the market through the sales team Develop an excellent relationship with the entities and associations in the region Identify and report on business opportunities and strategic alliances in target markets Collaborate with internal and cross-functional teams (marketing, communications, finance, legal, sales, etc.) to drive strategic growth in revenue and operations Track, analyze, and optimize the performance of the app, product adoption, audience growth, being able to define localized strategy and establish a sustainable ecosystem that fits the local needs of clients, companies, and partners Bring industry insights and plan growth and acquisition activities What You'll Need For This Role :- Minimum of 10+ years experience in the online ad sales Bachelor’s degree. A Masters Degree will be a plus In-depth knowledge of the digital and mobile advertising environment Understanding the decision-making process of an advertiser, partnering with them, and bringing customized solutions to drive the best results to target companies What Will Make Us Love You :- You have the ability  to manage multiple projects and work effectively with people and different departments in a fast-paced, dynamic environment You possess strong leadership skills conducting important salesforce teams, finance area, and support areas You have excellent sales and negotiation skills, exceptional presentation and communication skills You are able to work on multiple projects and have excellent project management and time management skills You are driven, optimistic and love to take new initiatives What You'll Love About Us :- We care about your individuality by giving you freedom to grow and create within the company, regardless of your position Work in a dynamic team in a fast-paced industry of an international company with multi-cultural teams around the world Learn from the best: Our state of the art workshops guarantee the latest insights into digital advertising Flexible Work Models. In-office, work-from-home, or hybrid, depending on position and location Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

You bring years of hands-on buying experience, but here you no longer run budgets yourself: you take that expertise into client deals. You gather everything we need to show the client, on their own data, what the agent will change in their numbers, then present it.

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Location: United States; Canada Workplace: OnSite 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! Role Overview As a Member of Technical Staff in Post-Training Data Infrastructure, you will build and own the pipelines that produce the post-training data for our large language models (LLMs), from SFT and RL data to synthetic and human-annotated data. You will work closely with researchers and annotation teams so they can iterate on data as quickly as they iterate on models. Key Responsibilities - Build and maintain data pipelines for SFT, preference, and RL post-training data. - Own dataset quality, versioning, and reproducibility. - Turn research data recipes into production-grade, reusable components. - Scale model inference for data generation and model-based grading. - Design data formats and schemas that keep post-training datasets consistent and efficient to train on. - Collaborate with researchers and engineers to make sure data pipelines keep pace with the needs of cutting-edge language models. Qualifications - Strong software engineering skills. - Experience designing and building large-scale data pipelines for machine learning, ideally for LLM post-training. - Track record of running distributed data processing and model inference at scale. - Good understanding of post-training methods (e.g., SFT, RLHF, DPO) and how data shapes model behaviour. - Excellent communication skills. This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We value diverse backgrounds and perspectives at Cohere   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.

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.

Location: Dublin, Ireland WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: The People Team at Notion exists to help build a generational company - one that enables people to do their best and most meaningful work. Hiring exceptional talent, at the right time and with care, is central to that mission. We’re looking for a Recruiting Coordinator to partner closely with Recruiters and Hiring Managers to create a thoughtful, well-run, and genuinely human candidate experience. This role sits at the center of our hiring process and plays an important role in how candidates experience Notion. This role will be based in Dublin. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: CREATE A CANDIDATE EXPERIENCE THAT REFLECTS NOTION You’ll be one of the first and most consistent touchpoints candidates have with Notion. From scheduling interviews to answering questions and resolving issues, you’ll help ensure every interaction feels organized, respectful, and intentional. You’ll collaborate closely with Recruiters and Hiring Managers to continually refine our processes—so candidates leave feeling excited about what we’re building, regardless of the outcome. COORDINATE INTERVIEWS WITH CARE AND PRECISION You’ll manage and schedule a high volume of interviews across primarily GTM roles, balancing speed with attention to detail. You’ll anticipate needs, communicate clearly, and keep candidates and interviewers aligned - making the process feel smooth and predictable, even as things move quickly. BUILD STRONG RECRUITING FOUNDATIONS This role is designed for someone early in their recruiting career who wants to build durable fundamentals. Over time, you’ll gain exposure to how we plan, execute, and scale hiring at Notion. With support from the team, you could take on light sourcing work, process improvements, and additional ownership as your skills grow - creating a strong foundation for future growth in recruiting, operations, or people-focused roles. SKILLS YOU'LL NEED TO BRING: - 2+ years of experience in recruiting coordination or interview scheduling, ideally in a high-volume environment - Strong organizational and prioritization skills - you’re proactive, reliable, and thoughtful about details - A steady, calm approach in fast-moving environments - Ability to navigate ambiguity with optimism - Clear, kind, and professional communication skills - you’ll represent Notion to a large and diverse group of candidates - You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results NICE TO HAVES: - Experience supporting both GTM roles, including remote and in-person interview scheduling - Experience with Ashby, Workday, Slack - Experience in a high-growth or startup environment Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €68,000 - €76,000. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Опыт от 5 лет в Product, Growth или Product Marketing. Обязателен опыт в FinTech, особенно в брокеридж, инвестиционных приложениях.

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