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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: Netherlands (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows. We are seeking experienced native-speaking software engineers to design, build, and validate these benchmarks. You will create high-signal, high-quality tasks that genuinely test a model's ability to handle multilingual environments without relying on English translation crutches. Note this is a remote, freelance opportunity WHAT YOU’LL DELIVER - Task Engineering: Evaluating Coding Agents. - Asset Creation: Build realistic task environments using datasets and files in your native language. Crucially, these assets must remain in the target language to genuinely measure multilingual handling. - Prompting & Translation: finding failure points where AI does not work, in your native language - Implementation & Verification: Support the development of robust solutions (reference implementations) and write highly reliable, deterministic verifier scripts (using rubric-based judging only when strictly necessary). - Calibration & Execution: Analyze execution logs and calibrate task difficulty (Easy to Very Hard) using standard Terminal-Bench run configurations against various model tiers (Haiku, Sonnet, Opus). - Quality Assurance: Participate in a rigorous, 4-layer human quality control process (creation, human review, calibration review, and audit) alongside automated LLM-based checks to ensure fairness, grammatical accuracy, and benchmark integrity. QUALIFICATIONS - Experience: 1+ years of industry experience in software engineering - Background: Proven track record at leading technology companies and/or graduation from top-tier engineering universities. - Language: Native or near-native fluency, with a deep understanding of its grammar, register, and phrasing rules. High English proficiency. - Technical Stack: Strong proficiency in Python, standard shell scripting, and data processing. - Workflow: Extensive experience with Terminal/CLI-based development workflows and a working familiarity with coding agents. - Domain Expertise: Deep technical understanding of multilingual text processing pitfalls, including: - Encoding/decoding robustness and Unicode normalization. - Locale-dependent conventions (collation, casing, non-Gregorian dates). - Text I/O, toolchain interoperability, and safe string operations. - (For specific languages) Bidirectional/RTL handling, font fallbacks, and rendering/typography in UI or artifacts. WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 15-20 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY 1 - Submit your application including an updated copy of your CV in English 2 - Next, complete a GenAI assessment to evaluate your skills 3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: EMEA - Remote Preferred Location: Europe or ZA Reporting to: Global Talent Acquisition Lead About the role We’re looking for a Senior Talent Acquisition Specialist to personally lead our most senior, complex and business critical searches while helping the wider Talent Acquisition team deliver at a higher standard. Your remit will span our Commercial, Operations and Support functions. You’ll own a focused portfolio of priority searches, act as a trusted adviser to senior leaders and provide practical guidance to colleagues navigating challenging hiring requirements. This is a hands-on player-coach role. Alongside delivering your own hires, you’ll help colleagues strengthen their search strategies, assessment judgement and stakeholder management. You’ll lead through expertise, coaching and influence, with success reflected in both the hires you deliver and the capability you build across the team. What you'll be doing Lead senior and business critical hiring Own end-to-end recruitment for senior leadership, specialist and business critical positions, including sensitive or confidential searches where required. Translate business priorities into clear hiring briefs, advising leaders on role scope, candidate profiles, seniority, location, compensation and assessment. Build and execute targeted search strategies, using talent mapping, direct sourcing and personalised engagement to reach senior and hard-to-find candidates. Lead kick-offs, calibration sessions and hiring discussions that clarify expectations, challenge assumptions and support timely, evidence-based decisions. Apply sound judgement when assessing leadership capability, relevant experience and transferable backgrounds, particularly where requirements are evolving. Manage complex offers, counter-offers and sensitive candidate conversations, maintaining trust and momentum throughout the process. Coach colleagues and strengthen team delivery Provide regular, practical coaching through search reviews, candidate calibration and feedback on sourcing, assessment and stakeholder conversations. Help colleagues diagnose stalled searches, refine their approach and resolve difficult hiring challenges, building their confidence and independence. Support priority searches beyond your own portfolio, stepping in where your expertise can help unblock progress or improve outcomes. Partner with the Global Talent Acquisition Lead to prioritise critical hiring, identify capacity constraints and recommend where additional support or a change in approach is needed. Share effective practices and turn successful approaches into tools, guidance and ways of working that the wider team can use. Improve recruitment performance Use recruitment data, market insight and candidate feedback to identify risks, explain trade-offs and recommend action across priority searches. Maintain accurate records and clear reporting in Greenhouse, giving stakeholders visibility of progress, blockers and next steps. Strengthen structured, inclusive assessment practices and ensure a thoughtful candidate experience, including for senior candidates navigating confidential moves. Lead practical improvements to sourcing, assessment, workflows and automation, demonstrating their impact on hiring quality, conversion, speed and candidate experience. What you'll bring A strong track record of personally delivering senior, complex and business-critical hires across commercial and business functions, ideally within iGaming and/or FinTech. Experience leading targeted searches for leadership and director-level appointments, from initial scoping and market mapping through to offer acceptance. Demonstrated ability to operate as a player-coach: delivering your own recruitment portfolio while improving the judgement, capability and effectiveness of colleagues. Credibility with senior stakeholders, including evidence of constructively challenging requirements, influencing hiring decisions and navigating competing priorities. Strong hands-on capability in direct sourcing, candidate assessment, offer negotiation and closing. Commercial understanding and the ability to connect hiring decisions to business priorities, quickly building knowledge of unfamiliar functions or talent markets. Sound judgement and discretion when handling ambiguous requirements, sensitive appointments and complex candidate conversations. The ability to translate recruitment data and market evidence into clear recommendations and practical interventions. Significant hands-on experience using Greenhouse for workflow management, data quality, reporting and stakeholder visibility. Evidence of improving recruitment processes or tools. Experience with Greenhouse integrations, automation or other recruitment technology would be an advantage. High autonomy, accountability and a consistent commitment to inclusive, evidence-based and candidate-centred hiring. What's in it for you Sporty is a remote first company in pursuit of sustainability A competitive salary + individual performance based bonuses every quarter 28 days annual leave Top of the line equipment Annual company retreats to provide great internal networking opportunities If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 72 hours. *We are committed to maintaining a fair, secure and authentic recruitment process. Applications submitted using false, misleading or fraudulent information, including impersonated or fake profiles, will not be considered. Where reasonably necessary to protect the integrity and security of our recruitment process, we may verify a candidate’s identity and/or the accuracy of information provided during the recruitment process. Any such checks will be carried out in a proportionate and appropriate manner and in accordance with applicable data protection and employment laws.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is growing quickly across EMEA, and we need recruiters who can help us hire exceptional people into the teams that keep the company running and bring our work to customers. We’re looking for a Recruiter to join our Talent team based in London to own full-cycle recruiting of our G&A functions (Policy, Finance, Legal, People, and related areas). This is a full-cycle individual-contributor role for a strong recruiter who can run an excellent process end to end—sourcing, screening, managing stakeholders, and closing. You’ll partner with hiring managers across EMEA to understand what great looks like, build healthy pipelines, and deliver a candidate experience that reflects Anthropic’s values. You’ll work in a fast-moving environment where priorities shift, and you’ll have real ownership over the roles you run. We’re open to candidates whose strength is in G&A recruiting in your application, tell us where your experience is deepest across the functions. Key Responsibilities Own full-cycle recruiting for a portfolio of G&A roles across EMEA—from intake through offer and close Partner with hiring managers to scope roles, calibrate the bar, and build effective sourcing strategies Source and engage high-quality active and passive candidates, building diverse and competitive pipelines Run structured, rigorous, and candidate-centric interview processes that uphold Anthropic’s hiring bar Manage candidates through the process with clear communication and a great experience at every stage Collaborate with the broader Talent team, People Partners, and Compensation to structure offers and guide candidates to close Use data to track pipeline health and share insight that helps hiring managers make good decisions Minimum Qualifications 6+ years of full-cycle recruiting experience in G&A (Policy, Finance, Legal, People) with a focus on Policy hiring Demonstrated ability to recruit in the UK and European market, with familiarity with local talent dynamics and employment norms Track record of strong stakeholder partnership — building trust quickly with hiring managers in fast-moving environments Comfortable operating with ambiguity: willing to flex between functions and contribute to building something new rather than running an established playbook Proven ability to maintain quality under volume pressure — owns pipeline health, not just pipeline size Self-starter who can work with significant autonomy while staying tightly aligned with global strategy Genuine connection to Anthropic's mission and an understanding of why it matters in a recruiting context Preferred Qualifications Experience recruiting at a high-growth technology, AI, or machine learning company Experience recruiting across both G&A and GTM functions Experience hiring across multiple EMEA markets, including the UK and Ireland Familiarity with Greenhouse or similar ATS platforms Additional European language skills relevant to hiring across the region The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £105,000 — £145,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

StellarTech is a rapidly growing product company building scalable EdTech products for a global audience. As our business and product portfolio continue to grow, we are strengthening our Talent Acquisition team and looking for a Senior Recruiter to own complex, business-critical hiring across the company. This is a full-cycle role with a strong focus on direct search, hiring manager partnership, and measurable outcomes. You will lead 4-6 roles at a time - including Senior, Lead, and Head-level positions - and help us build the systems that make every next hire more focused, predictable, and effective. What You’ll Do Own 4-6 vacancies end to end, with a focus on senior, leadership, and business-critical roles. Partner with hiring managers from the kick-off stage: clarify the business need, shape a realistic candidate profile, define the scorecard, and align on the hiring process. Build a sourcing strategy for each role, including talent-market mapping, donor-company research, Boolean and X-ray search, LinkedIn sourcing, and personalized outreach sequences. Proactively engage passive candidates instead of relying mainly on inbound applications. Conduct structured interviews, assess candidates against agreed criteria, and provide clear, evidence-based recommendations. Prepare and calibrate hiring managers and interviewers to ensure consistent, high-quality assessment across all stages. Own the recruitment funnel and use data to identify bottlenecks, improve stage conversions, and keep stakeholders aligned on progress and risks. Manage the offer process and candidate communication through to the person’s first working day. Bring market intelligence to the business: talent availability, compensation expectations, competitor insights, and realistic hiring timelines. What We’re Looking For 6+ years of experience in full-cycle recruitment, including at least 4 years in a product IT company. Experience hiring for Growth Marketing, Product, Analytics, or Engineering roles. Experience in B2C subscription products, mobile apps, EdTech, or another high-growth digital environment. A proven track record of closing Senior, Lead, or Head-level roles, with the ability to explain your approach, funnel metrics, timelines, and results. Strong hands-on sourcing expertise and confidence working with passive talent across multiple channels. Experience partnering with hiring managers, challenging unclear or unrealistic requirements, and translating business needs into an actionable search strategy. A structured, data-informed approach to recruitment: you understand funnel metrics, conversion rates, and how to use them to improve outcomes. Experience with competency-based assessment, scorecards, and structured interviews. Strong ownership and communication skills, with the ability to manage several priorities and keep stakeholders aligned. Practical use of AI tools in day-to-day recruiting - for research, sourcing, communication, analysis, or workflow automation. Fluency with English at B2 level or above. Why You'll Love Working With Us Impactful Work: Your ideas and contributions will directly shape the future of our company and the way people learn. Innovative Environment: We’re passionate about challenging the status quo, experimenting with new ideas, and pushing the boundaries of EdTech. AI-Driven Innovation: We don’t just talk about AI - we turn it into real-world solutions. You’ll have the opportunity to work with cutting-edge AI technologies, explore their potential, and help transform the future of education. Collaborative Culture: Work alongside talented, passionate professionals who share your ambition, curiosity, and drive to make a difference. Growth & Ownership: Take ownership of meaningful projects, develop new skills, and grow professionally in an environment that values initiative and creativity. Freedom to Innovate: We encourage bold thinking, fresh perspectives, and the courage to experiment. Great ideas can come from anyone. Hiring Process Introductory call with the Head of People - 30 minutes. Functional interview - 60 minutes. Live recruitment case - 60 minutes, with no take-home assignment. Final meeting - 30 minutes. If you enjoy solving complex hiring challenges, working closely with the business, and building systems rather than simply following them, we’d love to hear from you.

Location: Haverhill, United States Location: Haverhill, Massachusetts Shift Options: 3:00 PM – 11:00 PM → Monday–Saturday Pay: $15.50/hr Join our client’s team as a Mixer ! We’re looking for dependable, hardworking individuals to operate industrial machinery, blend materials, and ensure top-quality output in a fast-paced, cold environment. English or Spanish speakers are welcome! What You’ll Do: Operate and monitor blending/mixing machines Accurately measure and combine ingredients Inspect, troubleshoot, and maintain production standards Set up, calibrate, and clean machines at the beginning of shifts Follow strict sanitation and safety protocols What We’re Looking For: Ability to lift 50+ lbs regularly Comfortable standing for the full shift Apply today — we’re scheduling interviews now! Salary: $15.50+ / hour

Location: Sainte-Anne-de-Bellevue, Canada 📍 Location: Sainte-Anne-de-Bellevue, QC, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: Remote Opportunity for US and Canadian citizens and relocation assistance and bonus for UK and European citizens. 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements Must have a B.Sc. in Electrical Engineering, Aerospace Engineering, Physics, or a related field . 10+ years of experience preferred , but candidates with slightly less experience may be considered based on the strength and relevance of their GNC/AOCS background Strong experience in orbital mechanics, attitude dynamics, and control-law design . Experience implementing real-time filtering and control algorithms in embedded code . Hands-on experience with navigation sensors and actuators . Strong aerospace systems engineering background. Experience supporting systems integration, testing, and troubleshooting . Experience with Confluence and JIRA . Ability to work independently with limited supervision. Excellent written and verbal communication skills in an English and French work environment . About the Role We are seeking a senior Guidance, Navigation & Control (GNC) Systems Engineer to support the design, integration, verification, and operational support of GNC subsystems for current and next-generation remote sensing and communications satellites . This role spans the complete GNC subsystem lifecycle—from algorithm development and hardware implementation through integration, verification, and on-orbit operational support. The ideal candidate brings deep expertise in orbital dynamics, attitude determination and control, navigation, and real-time flight software integration , while being comfortable working closely with subsystem and mission operations teams throughout the spacecraft lifecycle. What We're Looking For We’re looking for a senior GNC/AOCS systems engineer who can work across the full spacecraft lifecycle and bridge GNC algorithms, spacecraft hardware, flight software, systems engineering, integration, verification, and mission operations. The ideal candidate goes beyond analysis and simulation, with hands-on experience translating GNC concepts into integrated spacecraft systems and supporting those systems through testing and on-orbit operations. Key Responsibilities Architecture & Requirements Derive GNC functional, performance, and safety requirements from mission-level requirements. Define requirements related to pointing accuracy, slew rates, orbit-maintenance ΔV, and fault tolerance. Develop and maintain System Requirements, Interface Control Documents (ICDs), and system description documentation . Manage requirements and maintain bidirectional traceability throughout the project lifecycle. Modeling & Trade Studies Conduct trade studies involving navigation sensor suites and actuator families. Perform high-fidelity spacecraft dynamics simulations using MATLAB/Simulink and STK . Develop and maintain error budgets. Analyze control-law stability, fuel consumption, and survivability margins. Evaluate GNC architectures and design alternatives. Algorithm Development Design and implement attitude-determination algorithms. Develop orbit-determination solutions. Develop control laws for: 3-axis stabilization Slew maneuvers Station keeping Validate algorithms using Monte Carlo analysis and worst-case scenarios . Support Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) testing on avionics test benches. Cross-Functional & Systems Engineering Translate GNC algorithms into requirements for real-time flight software. Collaborate with C&DH and flight software teams on telemetry/telecommand, schedulers, and FDIR logic. Present technical status, risk analyses, and trade-study results to senior management. Negotiate and maintain ICDs with other spacecraft subsystems. Support Phase 0 and pre-Phase A activities. Hardware Selection & Design Specify GNC sensor and actuator hardware. Define electrical, mechanical, and thermal interfaces. Conduct trade studies involving redundancy architectures. Work with structures and thermal engineering teams to ensure appropriate mounting, thermal paths, and vibration survivability. Review harness routing and power distribution for GNC electronics. Integration & Verification Develop Verification Plans, Test Matrices, and Validation Procedures for unit, subsystem, and spacecraft-level GNC testing. Lead functional testing, including: Sensor calibration Actuator command-response testing Closed-loop attitude-control testing On-orbit checkout sequences Conduct FMEA, FTA, and reliability assessments . Support system integration and troubleshooting activities. Technical Leadership & Documentation Mentor and guide junior engineers and interns. Serve as a technical liaison with customers, partners, and external vendors. Contribute to continuous improvement initiatives, engineering standards, and organizational knowledge bases. Support technology road-mapping and innovation activities. Maintain GNC standards covering sensor/actuator interfaces, filter design, and control-law documentation. Ensure analyses, software, deliverables, and technical documentation are properly version controlled. Support major design reviews including SRR, PDR, CDR, MRR, and TRR . On-Orbit & Operations Support Support operational procedures for detumble, orbit maintenance, safe mode , and related GNC activities. Provide real-time GNC support during launch, early-orbit checkout, and contingency events . Analyze on-orbit telemetry and update filter parameters as required. Generate GNC performance reports. Support Satellite Operations Handbook (SOOH) development and operator training. Required Qualifications Bachelor’s degree in Electrical Engineering, Aerospace Engineering, Physics, or a related field . 10+ years of experience, but candidates with slightly less experience may be considered based on the strength and relevance of their GNC/AOCS background Strong knowledge of: Orbital mechanics Attitude dynamics Control-law design Classical and modern optimal control Experience with navigation sensors and actuators. Experience implementing real-time filtering and control algorithms in embedded code. Strong understanding of aerospace systems engineering fundamentals. Hands-on experience supporting systems integration, testing, and problem resolution. Experience with Confluence and JIRA . Ability to work efficiently with limited supervision. Strong analytical and problem-solving capabilities. Excellent written and verbal communication skills. Preferred Qualifications Master’s degree in Electrical Engineering, Aerospace Engineering, Physics, or a related field. Specialized academic or professional background in flight dynamics, control theory, or navigation . Experience across the complete spacecraft GNC lifecycle, from concept and algorithm development through integration and on-orbit operations. Experience with MATLAB/Simulink and STK . Experience with SIL/HIL testing and avionics test benches . Experience with spacecraft FDIR, telemetry/telecommand, and flight software integration . Experience supporting spacecraft design reviews and Phase 0/pre-Phase A activities. Experience with GNC hardware interfaces, redundancy architectures, and spacecraft environmental considerations. Experience conducting FMEA, FTA, and reliability analysis .

Location: Berlin Office; Norway; Latvia; Netherlands; Hungary; Portugal; Poland; Serbia; Germany; Austria; Lithuania; Ireland; United Kingdom; Spain Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. 🎯 YOUR MAIN GOAL WILL BE TO TURN N8N’S INTERNAL AI AND AUTOMATION CAPABILITIES INTO SOMETHING EVERY FUNCTION CAN CONFIDENTLY USE, BUILD WITH, AND LEARN FROM. To make that happen, you’ll create the programs, experiences, and foundations that help teams across n8n build their AI and automation fluency: DRIVE HANDS-ON ENABLEMENT - Run weekly, role-specific workshops, prioritizing less-technical functions such as Legal and Customer Support. - Lead hands-on sessions where you build live alongside teams, helping them turn real workflows and challenges into working automations. - Run Build Along Office Hours and Bounty Hunts that give teams regular opportunities to learn, experiment, and solve problems together. - Help teams identify useful automation opportunities, understand the process they are changing, and decide when to reuse an existing solution, build themselves, or involve the Automation team. OWN DOGFOODING & EXPERIMENTATION - Own our monthly Dogfooding Day end-to-end, from planning and coordination through execution and follow-up. - Design and run hackathons and other experimentation initiatives that encourage teams to explore new ways of working with AI and automation. - Turn learnings and outputs from these initiatives into reusable assets that help other teams move faster. SCALE AI FLUENCY & COMMUNITY - Own periodic AI fluency survey cycles alongside the People team and help calibrate what fluency means across different functions. - Build visibility around internal wins and reusable solutions so teams can learn from what others have already created. - Identify and support champions across functions, informally leading the emerging Guild and helping automation knowledge spread across the company. ENABLE SAFE, REUSABLE AUTOMATION - Act as product owner for our internal “safe playground,” partnering with IT, Security, Data, and Solutions Engineering on access, credentials, environments, and requirements. - Turn outputs from workshops and office hours into reusable templates and resources that teams can easily discover and adopt. - Actively help teams reuse existing solutions rather than reinventing them, making automation more accessible and scalable across n8n. - Check whether the things built are still in use four weeks later; provide evidence that teams reuse existing assets and can make routine changes without handing everything back to the Automation team. REQUIREMENTS MUST-HAVES - 🛠️ Practitioner-level n8n fluency: You’ve built real, meaningful automations in n8n and are comfortable building live alongside others. - 🎓 Technical enablement experience: You’ve run structured, recurring enablement programs such as workshops, office hours, or build-alongs. - 🤝 Non-technical audience expertise: You have a strong track record of helping non-technical teams understand, adopt, and confidently use technical tools. - 🏗️ Cross-functional ownership: You’re comfortable partnering with IT, Security, and Data teams to define and own requirements around access, credentials, and environments without needing to implement the infrastructure yourself. - 🌍 CET overlap: You’re based in a time zone that gives you strong overlap with Central European working hours, within a couple of hours of Berlin. - 💬 English fluency: You have fluent or near-native English and can communicate clearly and confidently with audiences ranging from individual contributors to senior stakeholders. NICE-TO-HAVES - 🌱 Champion programs: You’ve helped build or run an internal ambassador, champion, or community program. - 📊 Fluency measurement: You have experience running capability, fluency, or adoption surveys and turning the results into actionable programs. - 🔐 Access & governance: You’re familiar with access or governance models and have worked with stakeholders responsible for secure environments and tooling. Why join us? At n8n, you’ll have the opportunity to build a brand-new enablement function from the ground up and shape how AI and automation become part of everyday work across the company. You’ll have a direct line to the Head of AI & Automation, high visibility across functions, and genuine autonomy to design an enablement model rather than inherit one. As n8n scales, you’ll become a key connector between the people building our internal automation capabilities and the teams putting them to work. You’ll help create a culture where teams don’t just learn about automation — they confidently build, experiment, share what works, and help others do the same. You’ll join a fast-growing, remote-first company that values autonomy, experimentation, and builder culture, with the opportunity to influence how we scale AI fluency across the organization. Sound like a challenge you’re excited to take on? Apply now — and help us build the future of automation. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: Tunis, Tunisia Workplace: hybrid About Yassir:   Yassir is the leading super app in the Maghreb region, set on changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia, with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. We're helping usher the continent into a digital economy era, not just by serving people, but by building a marketplace that brings people what they need while infusing social values. About the Role Yassir's marketplace runs on decisions made millions of times a day: which driver gets which trip, what a ride should cost, when an order will arrive, which transaction looks fraudulent, who qualifies for credit. We are looking for a Product Manager who owns the machine learning systems behind those decisions and is accountable for their measurable impact on the business. This is a product role for ML-heavy, data-intensive products. You will lead discovery from data rather than from opinion, frame business problems as problems a model can actually solve, define what success means both offline and in production, and prove impact through well-designed experiments. You will work closely with data scientists, ML engineers and data engineers, and with product and operations partners across ride-hailing, delivery and financial services. What This Role Is (and Isn't) This role centres on predictive and decisioning ML: ranking, matching, forecasting, pricing, risk and personalisation. Experience building LLM or agentic features is welcome, but it is not a substitute for the fundamentals below. If your ML product experience is primarily integrating third-party models or APIs into user-facing features, this role is likely not the right fit. Responsibilities Data-led discovery: Identify and size ML opportunities by going into the data yourself. Diagnose where the marketplace is losing value (supply-demand imbalance, cancellations, ETA error, fraud losses, default rates) and translate it into a prioritised, quantified problem backlog. Problem framing: Turn business problems into well-posed ML problems: define the prediction target, the decision it informs, the unit of analysis, label availability and quality, and the cost of different error types. Know when a problem does not need ML and a rule or heuristic will do. Metrics and success criteria: Define the chain from model metrics (e.g. precision/recall, calibration, MAE) to product and business metrics, and own guardrail metrics. Understand why offline gains often fail to translate online, and plan for it. Experimentation and causal inference: Design and interpret controlled experiments, including in two-sided marketplace settings where interference makes standard A/B tests unreliable (switchback, geo or cluster-randomised designs). Reason about statistical power, novelty effects and heterogeneous impact across cities and segments. Distinguish correlation from causation, and know which quasi-experimental methods to use when randomisation isn't possible. ML product lifecycle: Own models from framing through data requirements, baseline, iteration, launch, monitoring and retirement. Partner with engineering on rollout strategy, model monitoring, drift detection, retraining cadence and failure modes. Treat a model in production as a product that degrades if unattended. Roadmap and trade-offs: Own the ML product roadmap across domains and countries. Make explicit trade-offs between accuracy, latency, cost, interpretability, fairness and regulatory requirements, especially in credit and financial services. Stakeholder alignment and visibility: Make the impact of ML work legible to non-technical leadership. Communicate results, including null and negative results, with rigour and clarity. Align product, operations, risk and marketing partners on shared objectives. Leadership and culture: Raise the bar on how the organisation makes decisions with data. Mentor peers, build a culture of feedback and trust, and invest in your own growth and that of those around you. Requirements 4+ years of product management experience, including at least 2 years owning ML-driven products that run in production and influence core business decisions (e.g. pricing, matching, ranking, forecasting, fraud, credit risk, recommendations). Hands-on fluency with data: you can write SQL, explore data independently and challenge an analysis without waiting for someone else to run it. Demonstrated experience designing, running and interpreting controlled experiments, and a solid working understanding of causal inference. Strong understanding of core ML concepts: supervised learning, evaluation metrics and their trade-offs, overfitting and leakage, bias, calibration, and the relationship between offline and online performance. A track record of shipping ML products where you can clearly articulate the problem framing, the metrics chosen, the experiment design and the measured business impact, including what went wrong. Experience working with distributed or remote teams across multiple markets. Experience in marketplaces, mobility, on-demand delivery or fintech is a strong plus. BSc/MSc in Engineering, Computer Science, Statistics, Data Science or a related quantitative field.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.  Project Details Job Title: Data Labeling Analyst (Speech & Voice AI)  Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Hourly Pay Rate: $28/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do Execute high-volume data labeling and annotation tasks across speech and voice datasets Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale Work with audio and language data, including transcription, categorization, and tagging Maintain strong throughput while meeting quality expectations Escalate unclear or ambiguous cases appropriately Adapt to evolving guidelines and workflows as systems and requirements change Support baseline data production needs for AI training pipelines Contribute to team calibrations and quality alignment sessions What We’re Looking For Native-level fluency in Spanish (Mexico) Strong written communication skills and language fundamentals 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field. Ability to follow detailed instructions and apply guidelines consistently High attention to detail and ability to maintain accuracy in repetitive tasks Comfort working in structured, process-driven environments Ability to manage time effectively and maintain steady output Willingness to ask questions and escalate when needed Basic familiarity with AI, speech technology, or language data is a plus Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location 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. Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.  Project Details Job Title: Data Labeling Analyst (Speech & Voice AI)  Hiring in: Onsite (Bay Area, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Hourly Pay Rate: $28/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Bellevue, Redmond, Seattle, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do Execute high-volume data labeling and annotation tasks across speech and voice datasets Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale Work with audio and language data, including transcription, categorization, and tagging Maintain strong throughput while meeting quality expectations Escalate unclear or ambiguous cases appropriately Adapt to evolving guidelines and workflows as systems and requirements change Support baseline data production needs for AI training pipelines Contribute to team calibrations and quality alignment sessions What We’re Looking For Native-level fluency in Spanish (Spain) Strong written communication skills and language fundamentals 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field. Ability to follow detailed instructions and apply guidelines consistently High attention to detail and ability to maintain accuracy in repetitive tasks Comfort working in structured, process-driven environments Ability to manage time effectively and maintain steady output Willingness to ask questions and escalate when needed Basic familiarity with AI, speech technology, or language data is a plus Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location 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. Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.  Project Details Job Title: Data Labeling Analyst (Speech & Voice AI)  Hiring in: Onsite (Bay Area, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Hourly Pay Rate: $28/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC,  Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do Execute high-volume data labeling and annotation tasks across speech and voice datasets Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale Work with audio and language data, including transcription, categorization, and tagging Maintain strong throughput while meeting quality expectations Escalate unclear or ambiguous cases appropriately Adapt to evolving guidelines and workflows as systems and requirements change Support baseline data production needs for AI training pipelines Contribute to team calibrations and quality alignment sessions What We’re Looking For Native-level fluency in English (UK) Strong written communication skills and language fundamentals 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field. Ability to follow detailed instructions and apply guidelines consistently High attention to detail and ability to maintain accuracy in repetitive tasks Comfort working in structured, process-driven environments Ability to manage time effectively and maintain steady output Willingness to ask questions and escalate when needed Basic familiarity with AI, speech technology, or language data is a plus Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location 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. Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.

StellarTech builds and publishes subscription-based EdTech mobile apps (B2C, web2web/web2app) and grows through performance marketing. We hire across Growth, Creative Marketing, Product, Design, Analytics, Engineering and Customer Care. We are growing, and we need a leader to shape recruiting for this next stage, so we are opening the Head of Recruitment role. The goal of the role is to shape a recruiting function that supports the company’s next stage of growth. Reporting directly to Head of People, you will own recruiting strategy, team development and a practical AI and automation roadmap, and help the business make better hiring decisions. Role responsibilities Set recruiting strategy: build a 6-12-month plan covering priority capabilities, talent markets, sourcing channels, team development and improvements to the function. Plan with Head of People and business leaders: translate business plans into hiring scenarios, assess capacity and feasibility, and recommend priorities, resources and spend within agreed approval limits. Develop the recruiting function: define responsibilities, performance expectations and capability needs; coach the team and develop future leads. Own the recruiting AI roadmap: identify high-value use cases across talent research, sourcing, communication, interview documentation and analytics; prioritize them by business value, quality, effort and risk. Move from pilot to adoption: define success metrics, test workflows, assess output quality, train users and scale solutions with proven value. Systems and data: improve ATS workflows, data quality and reporting; coordinate integrations with technical partners and set clear ownership of tools and data. Decision-ready analytics: provide forecasts, explain hiring risks and assess source effectiveness, cost of hire, funnel performance and quality indicators with stakeholders. Raise the assessment standard: establish consistent scorecards, interviewer guidance, calibration and candidate communication; keep hiring decisions owned by people and grounded in evidence. Talent intelligence: build market insight and talent pipelines for Growth, Product, Analytics, Engineering and other priority areas. Key searches: get involved selectively in executive or business-critical hiring where your involvement materially improves the outcome. Requirements: critical (blockers) Recruiting strategy: experience leading recruitment in a product IT company, linking business priorities to a practical function roadmap, with demonstrable results of your decisions. Business understanding: experience hiring for B2C digital products and understanding of mobile apps, subscriptions and performance marketing; exposure to Growth/Marketing and another product or technical function. Workforce and capacity planning: experience forecasting hiring demand, assessing team capacity and proposing resource or budget options with explicit assumptions and trade-offs. Practical AI implementation: experience taking at least one recurring recruiting workflow from problem definition and pilot to team adoption, with evidence of value and quality controls. Coding integrations yourself is not required. Leadership and change management: a record of developing recruiters, clarifying responsibilities and getting a team to adopt new practices successfully. Senior stakeholder partnership: the ability to work with People and business leaders, challenge assumptions constructively and turn market evidence into hiring-priority decisions. Analytics and systems thinking: the ability to connect data quality, workflow design, funnel performance and costs to management decisions, and to explain what the data can and cannot tell you. Assessment governance: experience establishing evidence-based evaluation, useful interview feedback, consistent calibration and clear decision ownership. English: strong enough to discuss strategy, present recommendations and run international hiring conversations independently (B2+ as a reference point). Nice to have: non-critical Direct experience in mobile B2C subscription, EdTech, wellness or lifestyle products and web2web/web2app businesses. Building or substantially rebuilding a recruiting function during product or company growth. Implementing ATS integrations, no-code/low-code workflows, recruiting dashboards or reusable AI-assisted processes. Executive search, expansion into new talent markets and long-term talent community building. Why You'll Love Working With Us Impactful Work: Your ideas and contributions will directly shape the future of our company and the way people learn. Innovative Environment: We’re passionate about challenging the status quo, experimenting with new ideas, and pushing the boundaries of EdTech. AI-Driven Innovation: We don’t just talk about AI - we turn it into real-world solutions. You’ll have the opportunity to work with cutting-edge AI technologies, explore their potential, and help transform the future of education. Collaborative Culture: Work alongside talented, passionate professionals who share your ambition, curiosity, and drive to make a difference. Growth & Ownership: Take ownership of meaningful projects, develop new skills, and grow professionally in an environment that values initiative and creativity. Freedom to Innovate: We encourage bold thinking, fresh perspectives, and the courage to experiment. Great ideas can come from anyone. Ready to Shape the Future of Education? We’re looking for curious minds, creative thinkers, and ambitious people who want to make a real impact. Want to join the team? Send us your CV and let’s build the future of EdTech together! 🚀

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE As Docker continues its rapid growth, we're seeking an inspiring and experienced Director of Partner Solution Engineering to lead a world-class team. Docker helps organizations solve complex challenges in modern software supply chains, security governance, and AI-driven development. This role offers the opportunity to shape how our strategic partners, including ISVs, CSPs, SIs, and VARs, adopt and deliver transformative technologies that make developers more productive and secure. As Director of Partner Solution Engineering, you will lead a high-performing technical organization responsible for driving partner enablement, joint go-to-market initiatives, and technical excellence across Docker's partner ecosystem. You will collaborate closely with Partner Sales, Technical Alliances, Product, and Engineering to develop scalable technical partnership strategies that help partners successfully integrate, sell, and deliver Docker's platform. Your focus will be on enabling your team to drive partner technical readiness, co-innovation, and mutual customer success while building repeatable models for partner engagement at scale. _______________________________________________________________________ KEY RESPONSIBILITIES LEADERSHIP & TEAM DEVELOPMENT - Lead, develop, and inspire a team of Partner Solution Engineers, ensuring professional growth and high performance across multiple partner segments (ISVs, CSPs, SIs, VARs). - Build and scale the Partner SE organization to support Docker's expanding partner ecosystem and geographic coverage. - Foster a culture of innovation, collaboration, and continuous learning focused on partner success and technical excellence. - Coach, mentor, and empower your team to engage effectively with diverse partner organizations and communicate complex technical concepts clearly. PARTNER ENABLEMENT & TECHNICAL STRATEGY - Establish repeatable processes and programs for partner technical enablement, including scalable learning paths, certifications, technical deep-dives, and integration workshops. - Design and deliver both 1:1 strategic enablement for key partners and 1-to-many programs that drive adoption across the broader partner ecosystem. - Create technical content, integration guides, architectural diagrams, reference architectures, and enablement videos tailored for partners. - Develop partner-specific technical sales plays, solution validation frameworks, and proof-of-value methodologies that highlight Docker's differentiated value. JOINT GO-TO-MARKET EXECUTION - Partner with the Partner Sales organization to drive joint account planning, co-selling opportunities, and "sell-with" and "sell-through" motions. - Guide partners through solution design, technical validation, and evaluation processes to achieve joint customer success and sales goals. - Support product positioning and technical validation during joint sales engagements, ensuring clarity on what's GA and ready for delivery. - Define and track metrics for partner technical readiness, engagement quality, and revenue impact. PRODUCT & ALLIANCE COLLABORATION - Collaborate with Product and Engineering teams to share Voice of the Partner, influencing roadmap priorities and co-building initiatives. - Guide beta/EAP program participation with strategic partners, gathering feedback on new features and integration requirements. - Work closely with the Technical Alliances team on roadmap alignment, technical integrations with CSPs and ISVs, and partner-driven feature requests. - Champion regional partner technical needs and priorities in internal planning discussions (FedGov, EMEA, APAC). CROSS-FUNCTIONAL LEADERSHIP - Collaborate with Field SEs to ensure alignment with market-specific requirements, share learnings, and avoid duplication of effort. - Partner with Marketing to support partner events, conferences, webinars, and demand generation programs. - Work with Sales leadership to define partner success metrics, performance standards, and technical excellence measures. - Represent Docker at partner events and conferences as a technical expert and evangelist. OPERATIONAL EXCELLENCE - Create an environment of continuous improvement focused on partner outcomes, operational excellence, and scalable processes. - Develop internal enablement programs that enhance partner SE capabilities and share best practices across teams. - Establish tools, systems, and workflows that enable efficient partner engagement and measurement. - Build strong feedback loops to iterate on enablement strategies based on data-driven insights and partner performance. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 8+ years of experience leading technical partner engineering, partner solutions, or pre-sales teams for distributed systems, developer platforms, or cloud infrastructure companies. - Proven success in guiding teams that support channel partnerships, strategic alliances, and joint go-to-market initiatives. - Minimum of 5 years in management, including hiring, mentoring, and scaling high-performing partner-facing technical teams. - Deep understanding of partner ecosystems including ISVs, CSPs (AWS, Azure, GCP), Systems Integrators, and VARs. - Strong experience in software supply chain security, security governance, DevOps, DevSecOps, or developer productivity technologies. - Deep technical understanding of containerization, cloud-native architectures, CI/CD pipelines, and developer tools. - Demonstrated ability to build scalable partner enablement programs (technical learning paths, certifications, workshops). - Excellent communication and executive presentation skills, with the ability to build trust across technical and business audiences at both partner and customer organizations. - Strong strategic thinking with proven ability to influence cross-functional teams and drive complex initiatives. PREFERRED - Operational experience with Docker, Kubernetes, or similar container-based platforms. - Experience with application security principles and securing the software supply chain, including SBOMs, image scanning, and secure delivery pipelines. - Background in software development, scripting, or infrastructure-as-code. - Experience enabling developer productivity through coding assistants, AI integrations, or AI agent development. - Familiarity with partner operations tools including Salesforce and enablement platforms like MindTickle. - Experience working in both direct and channel sales models, understanding the nuances of partner-led vs. partner-assisted sales. - Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). - Willingness to travel (~30% expected) to support key partner engagements and events. _______________________________________________________________________ WHAT SUCCESS LOOKS LIKE 30 DAYS - Successfully onboard, gaining familiarity with Docker's platform, partner ecosystem, and partner go-to-market strategy. - Establish relationships with your team, Partner Sales, Technical Alliances, Field SE leadership, and key cross-functional partners. - Begin shadowing partner calls, reviewing existing enablement materials, and understanding current partner technical capabilities. - Learn tooling (Salesforce, Looker, Docker platform, PRM) and connect with internal stakeholders. 90 DAYS - Develop and align a 12-month strategic plan with Partner Sales, Technical Alliances, and Product leadership. - Begin executing key initiatives focused on improving partner technical readiness, enablement program quality, and joint sales effectiveness. - Lead enablement sessions for selected strategic partners and support joint-account planning activities. - Produce initial partner-facing technical content and establish your voice as a technical leader in the partner ecosystem. 1 YEAR - Scale and enable a high-impact Partner Solution Engineering organization that drives measurable partner success and revenue growth through the channel. - Own the technical strategy for one or more partner segments with documented processes, metrics, and success stories. - Become a trusted advisor across Partner Sales, Product, Engineering, and Technical Alliances by championing partner insights and technical excellence. - Demonstrate quantifiable improvements in partner technical closure rates, joint sales velocity, and partner satisfaction scores. - Build a reputation as a thought leader in the partner ecosystem, representing Docker effectively at partner events and conferences. _______________________________________________________________________ WHY JOIN DOCKER Docker is at the forefront of developer productivity and software supply chain security. As Director of Partner Solution Engineering, you'll have the opportunity to: - Shape the technical strategy for how Docker scales through its partner ecosystem - Build and lead a world-class team of Partner Solution Engineers - Work with industry-leading partners including major cloud providers, security vendors, and global system integrators - Influence product direction based on partner and customer insights - Make a measurable impact on Docker's growth through the channel - Collaborate with passionate, talented teams across Sales, Product, Engineering, and Alliances This is a high-impact leadership role for someone who thrives at the intersection of deep technical expertise, strategic partnership development, and team building. If you're excited about enabling partners to deliver exceptional outcomes for joint customers while building a best-in-class Partner SE organization, we'd love to hear from you. Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$327.6K– CA$468K OTE United States: $226.1K – $323K OTE ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker is seeking a Senior Principal Engineer to serve as the technical visionary and architect for how software gets built, verified, and trusted. Every day, millions of developers pull images, install dependencies, and ship builds to production. Each of those steps is a place where something can go wrong, or be made to go wrong. Compromised base images, malicious packages, tampered build steps, unsigned artifacts moving through pipelines nobody is watching. The industry calls this the software supply chain, and it has become one of the most consequential unsolved problems in software engineering. This role sits in Docker and Ecosystems, the group that owns Docker’s most well known products and our emerging content and SDLC business. You will own the technical strategy for secure software delivery across all of it, defining what verifiable, tamper-resistant software delivery looks like at Docker's scale, then driving the architecture that makes it real for every developer and every enterprise customer using our products. You will set multi-year technical direction, make architectural decisions that shape Docker's product portfolio, and work directly with the SVP of Engineering and executive team on strategy. You will not manage people. You will change what the industry considers table stakes. _______________________________________________________________________ WHAT YOU'LL DO TECHNICAL VISION AND STRATEGY - Lead multi-year technical vision for build security and supply chain across Docker Desktop, Hub, Hardened Images, Verified Publishing, and monetization platforms. - Define and sequence "trusted by default" architecture for 20M developers. - Partner with the SVP of Engineering to convert commercial strategy into multi-year technical roadmaps. - Establish company-wide architectural principles and security standards. - Identify high-leverage platform investments that enhance security across all Docker products. - Proactively position architecture ahead of evolving supply chain threats and regulatory demands. BUILD SECURITY ARCHITECTURE Architect systems to detect and prevent build-process threats like compromised dependencies, malicious steps, tampered artifacts, and untrusted images. - Design provenance and attestation infrastructure ensuring Docker artifacts carry verifiable build history. - Define artifact signing, verification, and policy enforcement across local workflows and CI/CD pipelines. - Architect SBOM generation, dependency analysis, and vulnerability intelligence for complete software visibility. - Align with and help shape emerging supply chain security standards. - Ensure security controls remain fast and unobtrusive so developers keep them enabled. SDLC AND DEVELOPER WORKFLOW INTEGRATION - Architect how Docker's security capabilities integrate across the full software development lifecycle, from local development through CI/CD to production deployment - Design the interfaces and contracts that let Docker's tooling embed into the pipelines, registries, and platforms customers already run, rather than asking them to rebuild around us - Define the developer experience for security tooling, where the secure path is the fast path and the default path - Architect policy and enforcement models that satisfy enterprise security and compliance requirements without fragmenting the developer workflow - Drive convergence of security capabilities across Docker products, replacing product-specific implementations with shared platform primitives TECHNICAL EXCELLENCE AND INFLUENCE - Work with leaders across engineering to drive strategy and execution - Mentor and develop Staff and Principal engineers, raising the technical bar across the organization - Represent Docker's security architecture externally through blog posts, conference talks, standards bodies, and technical community engagement - Participate in executive-level discussions, providing architectural perspective on business decisions - Take part in on-call rotation for your team, respond to incidents, debug production issues, and drive continuous improvement of system reliability _______________________________________________________________________ WHAT YOU'LL BRING DOMAIN EXPERTISE - 12+ years of software engineering experience specializing in build security, software supply chain security, or SDLC tooling - Deep understanding of build process threat models across dependencies, environments, artifacts, and pipelines, along with effective mitigations - Architectural experience in artifact signing, attestations, SBOMs, dependency security, CI/CD security, base image trust, or vulnerability intelligence - Practical knowledge of supply chain security frameworks and standards - Expertise in API design, service architecture, and scalable system integration - Proven record delivering large-scale distributed systems for millions of users and enterprise customers - Experience with major cloud platforms (AWS, GCP, Azure) and modern infrastructure - Bachelor's degree in CS, Engineering, or equivalent practical experience STRATEGIC AND BUSINESS IMPACT - Proven track record creating strategic technical plans that enable revenue, expansion, or enterprise deals - Experience converting business strategy into technical architectures and roadmaps - Understanding of SaaS business models, enterprise sales, and how security impacts commercial outcomes - Experience leading build-vs-buy decisions for core platform components LEADERSHIP AND INFLUENCE - Ability to lead large, cross-company technical initiatives across multiple engineering teams - Experience partnering with VPs and executives to define and execute technical strategy - Proven ability to influence technical direction and build consensus without direct authority - Strong communication skills for presenting to executives and driving organization-wide alignment - Experience mentoring senior engineers and developing technical leaders ENTERPRISE CONTEXT - Experience building products that serve enterprise customers with complex security and compliance requirements - Knowledge of enterprise security requirements and compliance frameworks such as SOC 2 and ISO 27001, and their architectural implications - Understanding of how enterprise security teams evaluate, procure, and operate tooling PREFERRED - Scale experience at a security, developer tools, or infrastructure software company - Experience with containers (Docker, Kubernetes) or developer platforms - Experience with complex enterprise billing, contracts, usage pricing, and revenue recognition - Proven ability to migrate legacy systems without disrupting business operations - Contributions to open-source security tools or supply chain security standards - Recognized technical leader via speaking, publishing, or open-source work - Advanced degree in CS, Engineering, or a related field _______________________________________________________________________ WHAT SUCCESS LOOKS LIKE SECURITY POSTURE - Artifacts produced through Docker carry verifiable provenance by default, not by opt-in configuration - Build-time threat classes are addressed architecturally rather than through detection after the fact - Developers keep security controls enabled because the controls are fast and unobtrusive BUSINESS ENABLEMENT - Security and governance capabilities directly unblock enterprise revenue - New product SKUs launch in weeks instead of months through the billing platform - Usage-based billing supports monetization of new security and AI product lines PLATFORM LEVERAGE - Product teams ship enterprise-ready, secure-by-default features in under two weeks rather than months - Shared security primitives replace fragmented per-product implementations - Platform systems achieve 99.9%+ uptime for business-critical workflows ORGANIZATIONAL IMPACT - Recognized across Docker as the definitive technical authority on build and supply chain security - Multiple Staff and Principal engineers developed who can own major domains - Docker's voice carries weight in the external supply chain security conversation Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $219K – $352K base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: England; Portugal; Spain; Italy; France; Germany Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE We are seeking an experienced Sales Operations Manager to join our Revenue Operations team who are responsible for optimizing the success of Docker's Sales & GTM teams to accelerate our revenue growth. Your primary focus will be supporting our global Sales organisation, with a focus on EMEA and APAC. You will build and streamline sales processes and systems, design territories and segmentation models, support forecasting and pipeline inspection, manage quota models, and manage projects from conception to release. You will work alongside GTM leadership to define, build and document processes and overall sales strategy and planning, and partner with the dedicated Operations owners for BDR, SE, TAM, Renewals and Channel where your work overlaps with theirs. An ideal candidate is a start-up builder who has experience working with Sales teams and has worked closely with Salesforce, Gong, ZoomInfo, RingLead and LinkedIn Sales Navigator. This role reports to the Director of Sales Operations and is based in EMEA. IN THIS ROLE, YOU WILL - Support the global Sales leadership team, with a focus on EMEA and APAC, in running their business - Design and maintain territory and segmentation models, and document account engagement models, with a focus on EMEA and APAC - Support forecasting processes and pipeline inspection, working with Sales leadership to ensure good forecast hygiene and accuracy in Gong - Help manage GTM quota and compensation models - Assist in the fiscal year planning cycle - Partner with the dedicated Operations owners for BDR, SE, TAM, Renewals and Channel to ensure aligned processes, quotas and territories across teams - Manage and prioritise implementation of key projects including scoping of requirements, writing business requirement documents, collaborating with cross functional teams, and working alongside the business systems team to build, test and roll out new processes - Manage and maintain the sales technology stack, ensuring data integrity and system efficiency, and owning vendor relationships - Optimize the sales process and ensure a smooth deal flow from lead generation through to deal closure and repeat renewal - Identify and implement continuous process improvements to enhance productivity and performance - Analyse data to identify trends and areas of opportunity, and provide insights and recommendations to leadership - Cultivate strong relationships with key stakeholders across various GTM departments - Contribute to efforts around data quality, integrity, standardisation, and controls that ensure accurate reporting and forecasting _______________________________________________________________________ REQUIREMENTS - 4+ years of experience in Sales Operations - Experience working for a high growth software/SaaS company - Prior experience in territory and segmentation design, quota modelling and fiscal year planning - Prior experience in forecasting and pipeline management - Knowledgeable in managing projects including writing project plans, business requirement documents, business summaries and user acceptance testing - Track record of defining operational processes and collaborating with technology teams for successful implementation of projects - Exceptional communication and interpersonal skills - Technically savvy with Google Suite, Salesforce, Gong, ZoomInfo, RingLead and LinkedIn Sales Nav - Ability to think strategically and translate business needs into actionable plans within a fast paced environment - Comfortable and familiar with cross-functional collaboration - Able to work autonomously, with a constant focus on building for the future - Energy, enthusiasm, and love of building Additional attributes - Experience in one or more of BDR, Renewals, TAM, SE, SA, Customer Experience, Channel or Provisioning operations - Strong analytical skills with experience in data analysis and reporting tools - Experience in building AI agents - Comfortable with new technologies and ability to communicate with those who are tech-savvy _______________________________________________________________________ WHAT TO EXPECT IN THE FIRST 30 DAYS - You will be welcomed with a first-in-class onboarding experience that includes equipment setup, a sweet swag package, and a collaborative training program - You will learn how to navigate through award-winning sales tools such as Salesforce, Gong, ZoomInfo, RingLead, LinkedIn Sales Navigator, and Docker - Identify areas of improvement in our systems and processes that will assist the Sales team to be more successful - Review existing processes and metrics to identify areas of improvement - Begin building strong cross functional relationships WHAT TO EXPECT IN THE FIRST 60 DAYS - Begin taking on projects and working with the relevant cross functional teams to scope and build - Take ownership of tools within the tech stack and start scoping refinements and improvements - Build documentation to support new and existing processes - Start implementing improvements to assist with data integrity and accuracy WHAT TO EXPECT IN THE FIRST 90 DAYS - Assist in scoping future quarter priority projects - Have full ownership of various key projects related to the Sales & GTM org and the supporting systems - Build scalable and repeatable processes to assist the Sales & GTM org Visa sponsorship: Not available for this role. _______________________________________________________________________   Compensation & Equity Europe: €100,000 – €124,000 base England: £85,000 – £105,000 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Dubai, United Arab Emirates (UAE) Workplace: Remote ABOUT PAVE BANK Welcome to Pave Bank, where we’re not just redefining banking—we’re shaping the future of global institutional finance. Inspired by leading fintech innovators and powered by a technology-first approach, we deliver smarter, faster, and more accessible banking, treasury, FX, and digital asset solutions to sophisticated institutions worldwide. With hubs in Singapore and Tbilisi, we combine the agility of a startup with the rigor and reliability of a regulated financial institution. Our mission is to simplify complex cross-border operations, enabling exchanges, funds, fintechs, and corporates to unlock growth and seize new opportunities. Our culture thrives on collaboration, commercial ingenuity, and a passion for solving the toughest institutional challenges. Joining Pave Bank means shaping global banking solutions, closing transformative deals, and making a tangible impact in a fast-moving, high-stakes environment. Together, we’re paving the way for the next generation of institutional finance. ABOUT THE ROLE The ideal candidate will be a high-calibre institutional sales professional responsible for driving Pave Bank’s institutional growth and contributing to commercial strategy. You will lead the full institutional sales lifecycle - originating and closing high-value opportunities, structuring complex multi-currency and digital asset solutions, and deepening relationships with exchanges, OTC desks, payment institutions, funds, fintechs, and corporates. Working closely with senior leadership, you will ensure institutional insights inform commercial priorities and collaborate with product, treasury, and engineering teams to deliver scalable solutions for sophisticated, high-volume clients. The role will also help lay the foundation for future team development as Pave Bank scales. KEY RESPONSIBILITIES - Drive institutional adoption of Pave Bank’s multi-currency banking, FX, settlement, digital asset, and treasury capabilities. - Lead and close complex, high-value institutional opportunities across exchanges, OTC desks, payment institutions, funds, and fintechs. - Structure multi-entity and cross-border solutions, including settlement, liquidity, and custody workflows. - Develop commercial proposals, pricing structures, and revenue models that support Pave Bank’s growth strategy. - Translate sophisticated institutional requirements into scalable banking and digital asset solutions in collaboration with product, treasury, and engineering teams. - Shape client strategy through market mapping, institutional insights, and expansion opportunities across key verticals. - Contribute to commercial playbooks, sales methodologies, and scalable processes as the bank grows. - Support development of junior talent and future team scale as the organisation expands. EXPERIENCE - 10 to 15 years of enterprise sales or institutional coverage in banking, payments, fintech, or digital assets. - Proven ability to originate and close complex, high-value institutional accounts. - Strong understanding of cross-border settlement, treasury flows, liquidity structures, custody frameworks, and digital asset operations. - Strong financial, commercial, and pricing skills. - Comfortable operating in a fast-moving, scaling banking environment.

Location: London, United Kingdom Workplace: Remote ABOUT PAVE BANK Welcome to Pave Bank, where we’re not just redefining banking—we’re shaping the future of global institutional finance. Inspired by leading fintech innovators and powered by a technology-first approach, we deliver smarter, faster, and more accessible banking, treasury, FX, and digital asset solutions to sophisticated institutions worldwide. With hubs in Singapore and Tbilisi, we combine the agility of a startup with the rigor and reliability of a regulated financial institution. Our mission is to simplify complex cross-border operations, enabling exchanges, funds, fintechs, and corporates to unlock growth and seize new opportunities. Our culture thrives on collaboration, commercial ingenuity, and a passion for solving the toughest institutional challenges. Joining Pave Bank means shaping global banking solutions, closing transformative deals, and making a tangible impact in a fast-moving, high-stakes environment. Together, we’re paving the way for the next generation of institutional finance. ABOUT THE ROLE The ideal candidate will be a high-calibre institutional sales professional responsible for driving Pave Bank’s institutional growth and contributing to commercial strategy. You will lead the full institutional sales lifecycle - originating and closing high-value opportunities, structuring complex multi-currency and digital asset solutions, and deepening relationships with exchanges, OTC desks, payment institutions, funds, fintechs, and corporates. Working closely with senior leadership, you will ensure institutional insights inform commercial priorities and collaborate with product, treasury, and engineering teams to deliver scalable solutions for sophisticated, high-volume clients. The role will also help lay the foundation for future team development as Pave Bank scales. KEY RESPONSIBILITIES - Drive institutional adoption of Pave Bank’s multi-currency banking, FX, settlement, digital asset, and treasury capabilities. - Lead and close complex, high-value institutional opportunities across exchanges, OTC desks, payment institutions, funds, and fintechs. - Structure multi-entity and cross-border solutions, including settlement, liquidity, and custody workflows. - Develop commercial proposals, pricing structures, and revenue models that support Pave Bank’s growth strategy. - Translate sophisticated institutional requirements into scalable banking and digital asset solutions in collaboration with product, treasury, and engineering teams. - Shape client strategy through market mapping, institutional insights, and expansion opportunities across key verticals. - Contribute to commercial playbooks, sales methodologies, and scalable processes as the bank grows. - Support development of junior talent and future team scale as the organisation expands. EXPERIENCE - 10 to 15 years of enterprise sales or institutional coverage in banking, payments, fintech, or digital assets. - Proven ability to originate and close complex, high-value institutional accounts. - Strong understanding of cross-border settlement, treasury flows, liquidity structures, custody frameworks, and digital asset operations. - Strong financial, commercial, and pricing skills. - Comfortable operating in a fast-moving, scaling banking environment.