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Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: Remote Opportunity 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be legally authorized to work in Canada . Must be eligible to obtain the required security clearance. Candidates may be based in the United States, Canada, or Europe , provided they meet work authorization and security clearance requirements. About the Role We are seeking a Payload System Software Integration Engineer to lead the integration of software for advanced digital telecommunications payloads. In this role, you will coordinate software integration across complex distributed systems, support the development of Software Defined Radio (SDR) and digital beamforming technologies, and work closely with multidisciplinary teams to ensure seamless system performance. The ideal candidate has strong experience in software integration, embedded systems, and aerospace or telecommunications environments. Key Responsibilities Lead software integration activities for digital telecommunications payload systems. Integrate and validate software across complex, distributed system architectures. Collaborate with hardware, software, systems, and test engineering teams to ensure successful system integration. Support the development and integration of Software Defined Radio (SDR) and digital beamforming technologies. Work with embedded software, real-time operating systems (RTOS), FPGA interfaces, and communication protocols. Develop and maintain automated testing and CI/CD pipelines to improve software quality and deployment. Identify, assess, and mitigate technical risks associated with software integration. Prepare technical documentation and support system verification and validation activities. Required Qualifications Bachelor's degree in Software Engineering, Computer Science, Electrical Engineering , or a related field. 5+ years of experience in software development and integration, preferably within the aerospace or telecommunications industry. Experience leading software integration activities in complex, distributed systems. Strong understanding of digital telecommunications payloads, including Software Defined Radio (SDR) and digital beamforming architectures. Familiarity with: Embedded software development Real-Time Operating Systems (RTOS) FPGA interfaces Communication protocols Hands-on experience with: Test automation CI/CD practices GitLab Jenkins Python MATLAB Docker Strong collaboration, communication, and technical risk management skills. Preferred Qualifications Experience supporting satellite payload or space systems integration. Knowledge of aerospace software development lifecycle and systems engineering practices. Experience with mission-critical or safety-critical software systems. Familiarity with satellite communications or digital payload technologies.

Location: Costa Mesa, United States 📍 Location: Costa Mesa, California, USA 📄 Employment Type: Full-Time 🏢 Work Arrangement: Remote Opportunity 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be a U.S. Citizen or U.S. Permanent Resident (Green Card holder) . Must be eligible to obtain and maintain a U.S. Department of Defense (DoD) Secret Security Clearance . Candidates should have a strong interest in supporting U.S. defense and national security programs. About the Role We are seeking a Mechanical Engineer to support the design, integration, and development of advanced air vehicle platforms. In this role, you will be responsible for designing mechanical systems, integrating electrical and mechanical subsystems, and collaborating with multidisciplinary engineering teams to deliver innovative aerospace solutions. The ideal candidate has a strong background in mechanical design, aircraft integration, and manufacturing processes, with a passion for developing next-generation air vehicles. Key Responsibilities Design and develop mechanical components and assemblies for advanced air vehicle programs. Integrate electrical and mechanical subsystems into complex aerospace platforms. Create and maintain detailed CAD models and engineering drawings. Evaluate manufacturing methods and ensure designs are optimized for production. Perform engineering analyses to support system performance, reliability, and manufacturability. Collaborate with cross-functional teams throughout the design, integration, testing, and production lifecycle. Participate in design reviews, technical trade studies, and engineering decision-making. Prepare technical documentation, engineering reports, and design specifications. Required Qualifications Bachelor's degree or higher in Mechanical Engineering, Aerospace Engineering, Electrical Engineering , or a related field. 5+ years of mechanical engineering experience supporting advanced air vehicle programs. Experience integrating electrical and mechanical subsystems into aerospace platforms. Experience designing mechanical parts using CAD software. Strong understanding of manufacturing processes, including: Machining Sheet Metal Fabrication Composite Manufacturing 3D Printing Injection Molding Composite Lamination Strong foundation in engineering fundamentals and mechanical system design. Excellent analytical, communication, and problem-solving skills. Preferred Qualifications Experience using Siemens NX and Teamcenter . Experience developing aircraft subsystem layouts and performing architectural trade studies. Experience evaluating vendor performance data and supporting supplier integration. Competency in engineering analysis, including structural, thermal, and electrical analysis. Active U.S. DoD Secret Security Clearance .

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Contract 🏢 Work Arrangement: Remote Opportunity for US and Canadian Citizens 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be legally authorized to work in Canada . Must be eligible to obtain the required security clearance. English proficiency is required. French is considered an asset. About the Role We are seeking an experienced CONOPS & Mission Analysis Systems Engineer to lead mission planning, systems engineering, and operational analysis for advanced LEO and MEO satellite programs. In this role, you will develop mission concepts, perform trade studies and mission analyses, define system requirements, and support system integration from concept through on-orbit operations. The ideal candidate has a strong background in satellite mission planning, systems engineering, and cross-functional technical leadership within the aerospace industry. Key Responsibilities Capture stakeholder functional, performance, environmental, and security requirements. Lead workshops and trade studies to define mission objectives and system requirements. Translate mission objectives into traceable system-level requirements. Define and manage spacecraft, payload, and ground segment interfaces, including ICDs and data flows. Develop and maintain the Concept of Operations (CONOPS) across all mission phases. Create mission timelines, operational scenarios, flow diagrams, and supporting documentation. Perform mission analysis, including orbit design, coverage analysis, link budgets, and resource assessments. Evaluate architectural trade-offs involving orbit selection, constellation design, payload configuration, cost, risk, and performance. Develop verification plans, validation procedures, and test matrices. Support system integration, verification, validation (IV&V), and operational readiness activities. Present technical results during major program reviews, including SRR, PDR, CDR, and ORR . Support mission operations, telemetry analysis, contingency planning, SOOH development, and operator training. Maintain configuration control using PLM tools. Support proposal development, technology roadmapping, and business capture activities. Mentor junior engineers and provide technical leadership across multidisciplinary teams. Required Qualifications Bachelor's degree in Aerospace Engineering, Electrical Engineering, Physics , or a related discipline. 8+ years of experience in LEO/MEO mission planning, mission analysis, or satellite operations . Strong background in: Systems Engineering Orbit Mechanics Space Environment Analysis Mission Planning and CONOPS Development Spacecraft, Payload, and Ground Segment Integration Hands-on experience with system integration, testing, troubleshooting, and operational support. Experience using Confluence and JIRA . Excellent analytical, communication, and problem-solving skills with the ability to work independently and lead cross-functional teams. English language proficiency is required. Preferred Qualifications French language proficiency. Experience supporting end-to-end satellite mission lifecycle activities. Experience leading technical trade studies and systems engineering reviews. Familiarity with Product Lifecycle Management (PLM) tools and configuration management. Experience supporting commercial or government satellite programs.

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Contract-to-Permanent (Preferred) / Contract 🏢 Work Arrangement: Remote Opportunity for US and Canadian Citizen 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be legally authorized to work in Canada . Must be eligible to obtain the required security clearance. Contract-to-permanent candidates are strongly preferred , although pure contract candidates will also be considered. English proficiency is required. French is considered an asset. About the Role We are seeking an experienced Digital Payload Architect to lead the architecture, design, and integration of next-generation digital regenerative payloads for LEO and MEO satellite missions. In this role, you will define system architectures, drive systems engineering activities, and collaborate with multidisciplinary teams to deliver advanced satellite communication solutions. The ideal candidate has deep expertise in digital payload systems, regenerative communications, and aerospace systems engineering, with a proven ability to lead complex technical initiatives from concept through integration and testing. Key Responsibilities Lead the architecture and design of digital regenerative payload systems for LEO and MEO satellite missions. Define system requirements, interface control documents (ICDs), and technical specifications. Support systems integration, verification, testing, and troubleshooting activities. Develop technical documentation, including requirements, test procedures, risk assessments, and engineering reports. Collaborate with customers, suppliers, and cross-functional engineering teams throughout the project lifecycle. Participate in technical reviews and provide system-level engineering leadership. Support trade studies, system analysis, and architecture optimization. Utilize Confluence and JIRA to support engineering documentation and project execution. Mentor engineering teams and contribute to continuous process improvement. Required Qualifications Bachelor's degree in Electrical Engineering, Aerospace Engineering, Physics , or a related field ( Master's degree preferred ). 12+ years of experience designing digital regenerative payload systems for LEO and/or MEO satellite missions . Comprehensive knowledge of: Digital regenerative communications Software Defined Radio (SDR) Digital Signal Processing (DSP) DVB-RCS and DVB-S2X protocols Digital modulation schemes Class of Service (CoS) Networking and MPLS 2G, 5G, and Non-Terrestrial Networks (NTN) Strong understanding of aerospace systems engineering principles. Hands-on experience supporting system integration, testing, troubleshooting, and issue resolution. Strong technical writing skills, including requirements, ICDs, test procedures, and risk documentation. Experience using Confluence and JIRA . Ability to work independently while leading complex technical initiatives. Excellent written and verbal communication skills in English . Preferred Qualifications Master's degree in Electrical Engineering, Aerospace Engineering, Physics, or a related field. French language proficiency. Experience leading end-to-end digital payload architecture for commercial or government satellite programs. Strong background in satellite communications, systems integration, and digital payload modernization.

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Contract-to-Permanent (Preferred) / Contract 🏢 Work Arrangement: Remote Opportunity for US and Canadian citizens. 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be legally authorized to work in Canada . Must be eligible to obtain the required security clearance. Contract-to-permanent candidates are strongly preferred , although pure contract candidates will also be considered. English proficiency is required. French is considered an asset. About the Role We are seeking an experienced Digital Payload System Engineer to support the design, integration, and verification of advanced digital regenerative payload systems for LEO and MEO satellite missions. In this role, you will contribute to system architecture, requirements development, integration, and testing while working closely with multidisciplinary engineering teams to deliver next-generation satellite communications solutions. The ideal candidate has a strong background in digital payload systems, satellite communications, and aerospace systems engineering. Key Responsibilities Design and develop digital regenerative payload systems for LEO and MEO satellite missions. Define and manage system requirements, interface control documents (ICDs), and technical specifications. Support systems integration, verification, testing, troubleshooting, and issue resolution. Develop technical documentation, including requirements, test procedures, risk assessments, and engineering reports. Collaborate with customers, suppliers, and multidisciplinary engineering teams throughout the project lifecycle. Participate in system design reviews, trade studies, and engineering analyses. Support payload performance evaluation and system optimization. Utilize Confluence and JIRA to support engineering documentation and project execution. Required Qualifications Bachelor's degree in Electrical Engineering, Aerospace Engineering, Physics , or a related field. 8+ years of experience designing digital regenerative payload systems for LEO and/or MEO satellite missions . Comprehensive knowledge of: Digital communications Software Defined Radio (SDR) Digital Signal Processing (DSP) DVB-RCS and DVB-S2X protocols Digital modulation schemes Class of Service (CoS) Networking and MPLS 2G, 5G, and Non-Terrestrial Networks (NTN) Strong understanding of aerospace systems engineering principles. Hands-on experience supporting system integration, testing, troubleshooting, and issue resolution. Strong technical writing skills, including requirements, ICDs, test procedures, and risk documentation. Experience using Confluence and JIRA . Ability to work independently and solve complex engineering problems through analytical and creative thinking. Excellent written and verbal communication skills in English . Preferred Qualifications Master's degree in Electrical Engineering, Aerospace Engineering, Physics, or a related field. French language proficiency. Experience supporting end-to-end digital payload development for commercial or government satellite programs. Strong background in satellite communications, systems integration, and payload verification.

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: Remote Opportunity for US and Canadian citizens. 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be legally authorized to work in Canada . Must be eligible to obtain the required security clearance. Candidates may be based in the United States, Canada, or Europe , provided they meet work authorization and security clearance requirements. Relocation assistance may be available for qualified candidates. About the Role We are seeking a Digital Payload Principal Systems Engineer to provide technical leadership in the architecture, design, and delivery of next-generation digital satellite payloads. In this role, you will lead end-to-end systems engineering activities, define payload architectures, drive technical trade studies, and oversee system verification throughout the program lifecycle. The ideal candidate has extensive experience in satellite communications, digital payload systems, and LEO/MEO constellation architectures, with a proven ability to lead multidisciplinary engineering teams on complex aerospace programs. Key Responsibilities Lead the end-to-end architecture and design of advanced digital satellite payloads. Define system requirements, conduct trade studies, and perform capacity analysis. Support program execution, technical planning, and proposal development. Collaborate with customers and cross-functional engineering teams to deliver mission-critical solutions. Lead and participate in system design reviews throughout the full program lifecycle. Define requirements for key payload subsystems, including: Onboard digital processing Phased-array antennas Feeder links Optical Inter-Satellite Links (ISLs) Oversee system integration, test planning, verification, and validation activities. Provide technical leadership and mentorship to engineering teams. Required Qualifications Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Physics , or a related field. 15+ years of experience in satellite payload or communications systems engineering. Strong background in LEO/MEO constellation architecture and digital payload systems . Experience leading multidisciplinary engineering teams and complex technical programs. Strong knowledge of: Digital communications Digital signal processing (DSP) Software Defined Radio (SDR) Phased-array antenna systems Networking technologies Familiarity with simulation tools, space environments, and orbital mechanics. Excellent communication, collaboration, and technical leadership skills. Preferred Qualifications Experience with 5G Non-Terrestrial Networks (5G NTN) . French language proficiency is an asset. Experience leading end-to-end satellite payload development programs. Strong background in system architecture, verification, and mission planning for commercial or government satellite systems.

Location: Torrance, United States 📍 Location: Torrance, CA 📄 Employment Type: Full-Time 🏢 Work Arrangement: 100% On-site, Monday–Friday 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements BS or higher in Aerospace Engineering, Mechanical Engineering, Applied Physics, or a related field . 5+ years of aerospace thermal engineering experience . Experience supporting rocket, spacecraft, aircraft, missile, or other high-performance aerospace programs . Strong understanding of heat transfer, fluid dynamics, and high-temperature environments . Experience with electronic unit thermal analysis and control to component-junction temperatures. Ground testing experience involving thermal instrumentation and data acquisition . Strong MATLAB, Python, or similar programming skills. Experience with SolidWorks or Siemens NX . Experience preparing formal technical documentation. Ability to obtain and maintain a U.S. security clearance . Must be able to work on-site in Torrance, CA . About the Role We are seeking a Senior Thermal Engineer to lead thermal engineering methodology across advanced missile systems. This role covers thermal architecture, high-fidelity modeling, first-principles analysis, simulation, hardware testing, ground testing, and flight-test data analysis . You will work across aerodynamics, structures, electrical, propulsion, systems, manufacturing, and test engineering teams. What We’re Looking For We’re looking for a hands-on thermal engineer who can move between analytical modeling, hardware testing, and flight data while working across multiple engineering disciplines to solve challenging thermal problems. Key Responsibilities Perform thermal design and analysis of unmanned air vehicles from conceptual through detailed design. Define thermal system architectures and material-selection strategies. Perform thermal analysis using standard thermal-analysis codes and engineering/hand methods. Conduct transient thermal analysis for time-varying mission profiles. Plan, execute, and analyze specialized thermal ground testing. Plan and support flight testing and post-flight thermal data analysis. Develop MATLAB/Python models using first-principles methods to support engineering decisions. Collaborate with aerodynamics, structures, electrical, and systems engineers. Present thermal status during formal internal and customer reviews. Prepare specifications, test procedures, technical reports, and other formal engineering documentation. Required Qualifications BS or higher in Aerospace Engineering, Mechanical Engineering, Applied Physics, or a related field. In-depth understanding of heat transfer, fluid dynamics, and high-temperature environments . 5+ years of aerospace thermal engineering experience on rocket, spacecraft, aircraft, or missile programs. Experience with electronic unit thermal analysis and component-junction temperature control . Ground testing experience with thermal instrumentation and data acquisition. Strong programming skills in MATLAB, Python, or similar tools. Formal technical documentation experience. SolidWorks or Siemens NX experience. Ability to obtain and maintain a U.S. security clearance. Preferred Qualifications MS or higher degree with a focus on heat transfer and fluid dynamics. Material ablation-response modeling experience. Knowledge of material degradation and surface phenomena in demanding thermal environments. Experience with specialized thermal ground-test facilities. Flight-test experience, including instrumentation design and post-flight analysis. Experience with Thermal Desktop/SINDA . Experience with manufacturing and assembly of thermal systems. Active U.S. security clearance.

Location: Torrance, United States 📍 Location: Torrance, CA 📄 Employment Type: Full-Time 🏢 Work Arrangement: 100% On-site, Monday–Friday 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Aerospace Engineering, or a related field . Open to candidates across experience levels . Strong C/C++ programming experience. Experience with real-time operating systems (RTOS) . Familiarity with hardware/software integration and real-time system constraints. Experience with simulation and hardware-in-the-loop environments . Must be able to work on-site in Torrance, CA . Active or eligible for a Top Secret security clearance . U.S. work authorization and applicable export-control requirements apply. About the Role We are seeking Flight Software Engineers to design, develop, integrate, and test high-performance real-time embedded software for advanced flight systems. This is a hands-on engineering role focused on building robust software for demanding, safety-critical environments , while working closely with GNC, systems, and hardware teams. What We’re Looking For We’re looking for engineers who enjoy solving difficult real-time systems problems and can develop reliable flight software while working closely with hardware, GNC, and systems engineering teams. Key Responsibilities Design, develop, and test real-time embedded flight software . Collaborate with GNC engineers, systems engineers, and hardware teams. Develop and maintain software for high-reliability and safety-critical environments. Support simulation, hardware-in-the-loop, and flight testing . Participate in root-cause analysis and debugging across software and system interfaces. Follow rigorous software lifecycle and configuration-management practices. Support software verification and validation activities. Contribute to development processes, tools, and engineering standards. Evaluate emerging technologies and best practices relevant to flight software and real-time systems. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Aerospace Engineering, or a related field. C/C++ programming experience. Experience with RTOS. Understanding of hardware/software integration. Familiarity with real-time system constraints. Experience with GNC systems or other control-intensive applications . Strong understanding of simulation and HIL testing. Excellent problem-solving skills and attention to detail. Ability to work effectively in a fast-paced multidisciplinary environment. Active or eligible for a Top Secret security clearance. Preferred Qualifications Flight software experience for missile, launch vehicle, or spacecraft systems . FPGA-based systems experience. Embedded software optimization experience. Secure software development or cybersecurity knowledge. Familiarity with agile or iterative development methodologies. Hands-on software verification, validation, and integration experience in defense environments.

Location: Torrance, United States 📍 Location: Torrance, CA 📄 Employment Type: Full-Time 🏢 Work Arrangement: 100% On-site, Monday–Friday 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements Bachelor’s degree in Electrical Engineering or a related field . Strong experience with complex digital or mixed-signal hardware design . Experience with high-speed digital systems, embedded processors, memory interfaces, and board-level architecture . Hands-on PCB design and hardware bring-up experience. Experience using oscilloscopes, logic analyzers, and power supplies . Experience with board validation, debugging, and root-cause analysis. Must be able to work on-site in Torrance, CA . U.S. work authorization and export-control eligibility requirements may apply. Ability to obtain and maintain applicable U.S. Government security clearance or authorization, if required. About the Role We are seeking experienced Avionics Hardware Engineers at the Senior and Staff levels to work on high-speed digital design, flight computer architecture, and advanced avionics hardware. This role is focused on complex embedded hardware for mission-critical systems, with ownership spanning architecture, board design, bring-up, validation, and integration . What We’re Looking For We’re looking for experienced hardware engineers who can take ownership of complex avionics hardware , solve challenging hardware problems in the lab, and work closely with multidisciplinary teams from architecture through integration. Key Responsibilities Design and develop advanced board-level electrical hardware, including: Schematic capture PCB layout oversight Component selection Interface definition Own high-speed digital and embedded flight computer architectures involving processors, memory systems, and board-level integration. Perform board bring-up, validation, debugging, and root-cause analysis in the lab. Test reference boards and early prototypes using standard laboratory equipment. Drive signal integrity, power integrity, and hardware reliability throughout the design lifecycle. Collaborate with avionics, embedded software, test, and manufacturing teams. Support hardware/software integration and troubleshooting across avionics platforms. Document designs, test results, and engineering changes. Required Qualifications Bachelor’s degree in Electrical Engineering or related field. Strong experience designing complex digital or mixed-signal hardware. High-speed digital systems experience. Experience with embedded processors, memory interfaces, and board-level architecture. Experience with PCB design tools; Altium preferred . Hands-on experience with oscilloscopes, logic analyzers, and power supplies. Strong understanding of digital systems, signal integrity, power distribution, and hardware debugging. Ability to work effectively in a fast-paced, highly collaborative environment. Preferred Qualifications Experience with flight computer, avionics, or embedded compute architectures . Experience taking complex PCBAs from concept through bring-up, validation, and integration. Exposure to embedded systems, firmware, or FPGA interaction. Experience in aerospace, automotive, robotics, defense, or other high-reliability hardware environments. Familiarity with Ethernet, SPI, I2C, UART, CAN, PCIe, or DDR memory systems . Basic scripting or programming experience using Python, C, or C++ .

Location: Torrance, United States 📍 Location: Torrance, CA 📄 Employment Type: Full-Time 🏢 Work Arrangement: 100% On-site, Monday–Friday 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements Bachelor’s degree in Electrical Engineering or a related field . End-to-end experience with avionics or high-reliability electronic hardware . Strong PCB design, bring-up, and laboratory debugging experience. Ability to independently drive hardware issues through resolution. Must be able to work on-site in Torrance, CA . U.S. work authorization and export-control eligibility requirements may apply. Ability to obtain and maintain applicable U.S. Government security clearance or authorization, if required. About the Role We are seeking an Avionics Hardware Engineer to own flight-critical electronics across design, bring-up, testing, and integration. The engineer may take ownership of areas such as motor controllers, avionics backplanes, power distribution, or outward-facing avionics test and integration . What We’re Looking For We’re looking for an engineer who can take ownership of flight-critical hardware , troubleshoot issues hands-on, and move designs efficiently from concept through testing and production. Key Responsibilities Own avionics hardware from architecture and schematic design through PCB layout, bring-up, and production support . Drive component selection, interface definition, and system-level tradeoffs. Lead hardware bring-up, debugging, and root-cause analysis across laboratory, integration, and flight-test environments. Collaborate with cross-functional teams to ensure hardware meets performance, reliability, and mission requirements. Define and execute hardware validation strategies appropriate to development and flight maturity. Prepare technical documentation covering designs, test results, and engineering changes. Partner with manufacturing teams and suppliers to transition hardware from prototype to production. Continuously improve designs based on test results, field data, and evolving requirements. Required Qualifications Bachelor’s degree in Electrical Engineering or related field. Proven end-to-end ownership of avionics or high-reliability electronic hardware . Strong PCB design experience. Hands-on hardware bring-up and laboratory debugging experience. Ability to work autonomously and drive hardware issues to closure. Preferred Qualifications Experience in avionics, aerospace, missile, space, automotive, or defense hardware . Experience with motor controllers, backplanes, power electronics, or flight hardware . Familiarity with MIL-STD or aerospace hardware standards, including DO-254 exposure. Embedded systems or FPGA-adjacent hardware experience. Experience supporting hardware through integration, testing, or flight environments.

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams. The difference you’ll make You’ll sit in the Data Science team, reporting to the Head of Data Science. You’ll work closely with Product and Engineering teams to develop predictive models for pricing, recommendations, and other business domains. Together, the team will leverage data to build statistical models that improve commercial decisions. Data Science sits within our Platform function, which builds the technology and shared capabilities that power the loveholidays experience. By creating scalable products, systems and tools, Platform helps the wider organisation move faster, work more independently and deliver better outcomes for customers. Your day-to-day: - Build and improve data science products across pricing, recommendations and other business domains to improve customer experiences and commercial outcomes. - Turn ambiguous business problems into practical data science solutions, from exploration and modelling through to experimentation and evaluation. - Partner with engineers, analysts and product teams to deploy reliable models and embed recommendations into everyday decision-making. - Monitor model performance, investigate changes and continuously improve solutions as customer behaviour and business needs evolve. - Communicate findings clearly, challenge assumptions and help teams make confident, evidence-based decisions. Your skillset: - Strong experience developing and delivering practical machine learning solutions, balancing model performance, business value and long-term maintainability. - Proficiency in Python and SQL, with experience working with large, complex datasets. - A solid grounding in statistics, experimentation and machine learning, including model evaluation and causal thinking. - Experience collaborating with engineers to deploy, monitor and improve models in production. - Strong communication skills, with the ability to explain technical concepts and influence product and commercial decisions. The interview journey: - Intro with a member of our Talent Acquisition team - 30 minutes - 1st Stage: Virtual Interview with Hiring Manager - 45 minutes - 2nd Stage: Two on-site interviews - 50 minutes for a project discussion deepdive with member(s) of the Data Science team - 1 hour technical discussion around a case study with member(s) of the Data Science team - Final-stage: Virtual interview with key stakeholders - 45 minutes Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Access to our electric vehicle salary sacrifice scheme - Cycle to work scheme, season ticket loan and eye care vouchers   Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we've been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment. We are looking for a Senior SEO Specialist to own product-related SEO tasks from idea through release. You will turn search opportunities into initiatives and tasks for product and engineering, and confirm that what is delivered works as intended. Job Responsibilities Identify technical and on-page SEO issues (crawling, indexing, site structure, redirects, canonicals, internal linking, templates, structured data) and initiate product-related tasks when they block organic performance; Prepare implementation-ready tasks and recommendations: problem, solution, affected templates or URLs, risks, and acceptance criteria; Validate proposed work with the Team Lead and SEO team before it reaches product or engineering; Consult product and development on SEO implications of planned features, template changes, and site architecture; Participate in estimations and groomings so work is sized, sequenced, and specified well enough to build; Analyze search intent, SERP structure, and competitor behavior when it affects product or template decisions; Optimize existing page types and templates for rankings, traffic, engagement, and conversions, including titles, meta descriptions, headings, internal links, page structure, and content; Support content planning with SEO briefs, keyword maps, and optimization guidelines when work touches product surfaces; Plan information architecture and landing-page structure for new product or content surfaces; Specify and, where appropriate, implement structured data; Test implementations after release against agreed acceptance criteria; Monitor performance in Google Search Console, Google Analytics, and in-house reporting tools. Track rankings, traffic, indexing, and trends tied to shipped work, not only site-wide averages; Prepare concise updates: what moved, what did not, and recommended next product or content steps; Stay current with SEO practices and search-engine updates that affect product implementation. You’ll thrive here if you have 4+ years of hands-on SEO across on-page, content, and technical work; Experience working with high-traffic international and multilingual websites; Proven experience turning SEO findings into tickets or requirements that engineering or product teams can implement; Comfort participating in agile delivery: grooming, estimation, clarification, and post-release checks; Strong understanding of keyword research, search intent, SERP analysis, and competitor research; Working knowledge of technical SEO: crawling, indexing, redirects, canonicals, internal linking, site architecture, and template-level changes; Experience with Google Search Console, Google Analytics, crawlers, and other SEO tools; Ability to analyze SEO data and turn it into a clear recommendation, with an expected effect and a way to verify the release; Clear written communication: tickets, briefs, and short performance notes that non-SEO teams can act on; Ability to work independently, manage several workstreams, and raise issues early rather than waiting for a fully specified brief. Nice to have: Experience with programmatic SEO or large-scale template optimization; Familiarity with Looker Studio, BigQuery, SQL, or another reporting stack; Basic scripting (Python or similar) for crawls, log samples, or bulk URL analysis; Familiarity with common CMS or front-end delivery setups; Awareness of generative search / AI results as a measurement context; Experience in SaaS, marketplace, media, or other product-led digital businesses. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches at the office, and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Benefits are provided in accordance with the company’s policies and eligibility criteria. Recruitment process HR interview (45 min); Technical interview (1 hour); Test task; Final interview (1 hour). Recommendations check; Job Offer.

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Claude is getting good at research. Given a well-posed problem, it can read the literature, write and run simulations, analyze results, and iterate on a design across physics, materials, chemistry, and engineering. But most of the hardest problems in science and engineering aren't well-posed. They live inside companies and labs with their own data, tools, constraints, and experts, and progress depends on turning all of that into work a model can actually do and check. Our Applied AI, Science & Engineering team takes Claude to the scientists and engineers working on hard problems in energy, materials, hardware design, and other physical-world fields. We build the tools  Claude needs to do real research and engineering work. Mostly that means software: the agent harnesses, integrations, evaluations, and working processes that turn a partner's problem into something Claude can make progress on and validate. We find real-world problems and test what we build through partner engagements, then feed our learnings back to our research and product teams. It's early, and the engineers who join now will shape how Claude gets applied to science and engineering. This is an engineering role first. You'll spend real time with domain experts, become the person who knows how to get Claude working in their field, and prototype quickly alongside them. Most of your time, though, goes into building and hardening the systems that make that work repeatable, not into writing recommendations or configuring someone else's product. A science or engineering background is a big plus, but what matters most is that you can earn the trust of expert researchers, turn a fuzzy problem into something concrete and checkable, and ship. Responsibilities Build the agent harnesses and research loops that let Claude carry a problem from literature review through hypothesis generation, simulation, analysis, and design iteration Connect scientific computing and simulation tools (finite element, CFD, electromagnetic, or molecular modeling codes, for example) so Claude can drive them reliably and at scale Design and build evaluations that tell us whether Claude's work is actually right, and be honest about where it isn't Sit with scientists and engineers at partner organizations to learn their problem, data, tools, and constraints, and turn open-ended questions into well-specified, verifiable tasks with clear success criteria Prototype with partners, ship pilots into their workflows, and cut anything that doesn't move the problem forward Turn what works in one engagement into shared tools, reusable components, and documented processes the next one can start from Be the technical voice on how Claude performs on science and engineering work, explaining results, limits, and tradeoffs clearly to researchers, engineering leads, and non-technical stakeholders alike Partner with our research and product teams to share where models fall short on science and engineering work, and help shape what comes next You may be a good fit if you Have 8+ years of experience building software, with strong engineering fundamentals and comfort across the stack, from data pipelines to tooling to quick interfaces Have built real systems with large language models, including agents, tool use, or evaluations Have worked on technical problems in a science or engineering field, such as physics, materials, chemistry, or electrical or mechanical engineering Have a track record of zero-to-one work in startup or startup-like environments\ Can work directly with expert users, understand their workflows deeply, and still keep the focus on building the right system rather than the one first requested Have good judgment about what can and can't be verified, and are comfortable saying a result isn't good enough yet Bring high agency, pick up new domains quickly, and hold strong opinions loosely Communicate clearly with researchers, engineers, and external partners, and care about the societal impacts of your work Strong candidates may also have An advanced degree or research experience in a physical science or engineering field Hands-on experience with scientific computing and simulation, numerical methods, or optimization Experience in industrial R&D, a national lab, or a deep-tech company in areas like energy, materials, manufacturing, or hardware Experience building alongside customers or technical partners, for example in forward-deployed, applied AI, or solutions engineering roles, ideally where you also owned the software that came out of it Experience with ML research, RL environments, or evaluation design Candidates need not have 100% of the skills listed above Formal certifications or education credentials Expertise in every scientific domain we work in Direct machine learning or AI research experience Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Portland, Oregon Workplace: Remote Who We Are X-LAB is the in-house performance bicycle line by XDS, which has quietly become the world’s largest and most vertically integrated bicycle manufacturer and the largest maker of carbon fiber frames, supplying many of the top brands in cycling and mobility. Today, XDS is quiet no more. XDS launched X-LAB in April 2026 as the global consumer brand to take the industry by storm. Three decades of experience building exceptional bicycles have culminated into a unique line of road, gravel, electric, city, hybrid, and soon mountain bikes that riders and shops can’t stop talking about. X-LAB is the new inflection point for the category. We launched in April 2026 with a full lineup across road, gravel, city, fitness, e-bike, and soon mountain categories, with validation from the highest and most demanding levels of the sport through the XDS Astana Team and a rapidly growing network of dealers. Our ambition is not simply to sell more bikes. It is to make great bikes more integrated, more accessible, and better supported through the independent shops and communities that grow cycling and bring in new riders. That is what makes this moment exciting. Joining X-LAB means shaping a company with unmatched production scale, real engineering R&D depth, and the confidence to earn trust… one rider, one dealer, one product, and one market at a time. Are you ready to ride ahead of the pack? Learn more at https://xds.co/https://xlabbikes.com See an insider’s look of our factory: Youtube Video https://www.youtube.com/watch?v=06SheO5XFsY _________________________________________________ XDS is seeking a Territory Sales Manager to join us on this ground-floor opportunity to establish XDS in the North American market. This is a hands-on, field-based sales role focused on opening new dealer accounts and getting XDS bikes on shop floors across a defined territory. You’ll be out in-market most days, walking into stores, having real conversations with shop owners and managers, and building relationships face to face. This role is about laying the groundwork for XDS in North America and being the brand’s presence on the ground. The territory for this position will include Oregon and Washington. We welcome applicants from any of these states. What You’ll Do - Visit bike shops regularly to introduce XDS, open new accounts, and grow relationships - Prospect in person within your territory, including cold walk-ins - Take deals from first conversation through initial order - Train shop staff on product and positioning - Keep a pulse on competitors, pricing, and local market dynamics - Represent XDS in a professional, consistent way You’re a Great Fit With: - Experience in the cycling industry and with bicycle shops (mandatory) - 5+ years of territory/regional sales experience built on relationships, not just inbound leads - Ability to build interest and convert into sales - Comfort and flexibility with traveling, opening doors, and starting conversations in person - Strong organization and follow up skills - Background or interest in cycling or performance sports Success Metrics (1st Year) - Opening new dealer accounts - Hitting agreed revenue targets - Establishing active dealers and demo placements - Maintaining a healthy pipeline and consistent territory coverage _________________________________________________ Our Compensation and Benefits - Salary plus commission structure (expected OTE $125-175k) - Demo bike fleet and comprehensive travel allowances - Remote-focused role - Office space in beautiful Santa Monica, California

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. By combining advanced sensing, data science, and technology designed for continuous wear, WHOOP delivers insights that help members better understand and improve their health and performance. WHOOP is looking for a Senior Sensor Intelligence Engineer to join our Embedded Controls team within Sensor Intelligence and help shape the sensing capabilities across current and future WHOOP devices. Sitting at the intersection of signal processing, machine learning, embedded systems, and sensor technology, you will develop algorithms that interpret real-world sensor signals and intelligently control how sensors operate on-device. You will work across the sensing stack from understanding sensor physics and signal characteristics through algorithm development and embedded deployment to enable increasingly sophisticated sensing capabilities while meeting the power, compute, memory, and reliability constraints of a continuously worn device. RESPONSIBILITIES: - Develop signal-processing and machine-learning algorithms that interpret physiological, motion, and other wearable sensor signals, including applications such as activity and state detection, wear detection, signal-quality assessment, and device-state estimation - Design intelligent embedded control strategies that dynamically configure sensor behavior based on signal quality, device state, user context, system requirements, and power constraints - Characterize new and existing sensors by understanding signal behavior, noise sources, artifacts, dynamic range, sampling requirements, calibration, operating modes, and the impact of analog and acquisition architectures - Prototype algorithms and sensing strategies using tools such as Python or MATLAB, then partner with Firmware Engineering to translate them into robust, computationally efficient implementations suitable for resource-constrained embedded systems - Partner closely with Firmware, Electrical Engineering, Data Science, Hardware, and broader Sensor Intelligence teams to bring up new sensing modalities, debug issues across the sensing stack, and inform sensing architectures for future WHOOP products - Develop experiments, analysis frameworks, and validation methodologies to evaluate sensor and algorithm performance across users and real-world conditions, optimizing solutions for accuracy, robustness, latency, memory, compute, and power QUALIFICATIONS: - BS, MS, or PhD in Electrical Engineering, Computer Engineering, Biomedical Engineering, Computer Science, Applied Physics, or a related technical field, or equivalent practical experience - Strong foundation in digital signal processing and time-series analysis, with experience applying techniques such as filtering, spectral analysis, sampling theory, noise reduction, and feature extraction to real-world sensor data - Experience developing signal-processing and/or machine-learning algorithms for noisy, artifact-prone sensor data and taking algorithms beyond offline analysis toward real-time, embedded, or production implementation - Strong proficiency in Python, MATLAB, or similar algorithm-development environments, with working knowledge of C/C++ and embedded-system considerations such as timing, memory, compute, and hardware interfaces - Working knowledge of sensor and electrical systems, including concepts such as ADCs, analog front ends, sampling, digital interfaces, noise, calibration, and signal acquisition - Ability to investigate and solve ambiguous engineering problems across algorithm, firmware, sensor, and electrical boundaries using strong experimental and analytical methods - Experience with wearable, physiological, optical, impedance, motion, multimodal, or related sensor systems is valued; experience with embedded inference, sensor fusion, fixed-point processing, quantization, low-power sensing, or microcontroller deployment is a plus - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: Ontario, Canada From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the Role We’re looking for a hands-on Senior Engineering Manager to lead the Core team behind dbt V2, dbt’s next-generation engine. This is a backfill role for an engineering leader who can combine strong software-engineering judgment with people leadership, product partnership, and the ability to navigate a highly cross-functional technical area. The Core team is responsible for building, maintaining, and evolving the Rust-based engine that powers dbt Fusion. The team primarily works on the dbt V2 runtime itself, SQL language features powered by Static Analysis, and new ELT primitives. The role sits at the center of several parts of the dbt product: the engine and orchestration, the IDE and developer experience, adapters and data warehouses, and our new compute offering, LakeCompute. You’ll help the team make sound technical and product decisions while keeping a stable GA product moving forward. About the Team The Core team is part of a broader organization that includes adapters, growth, the VS Code extension, compute, and other closely connected teams. It partners frequently with Product and with the teams responsible for orchestration, IDE experiences, adapters, and LakeCompute. In this role, you can expect to: Lead, coach, and develop a fluid team of approximately 8 engineers working on a critical part of the dbt product. Establish clarity across a technically demanding roadmap with multiple product and engineering stakeholders. Partner closely with Product to translate ambiguous requirements into realistic engineering scope, sequencing, and estimates. Help the team balance new feature development, engine maintenance, framework modernization, documentation, and the stability of a GA product. Guide end-to-end technical design across the engine and its integration points with orchestration, the IDE, adapters, warehouses, and late compute. Support engineers in making sound tradeoffs across product value, technical quality, performance, compatibility, and delivery risk. Actively contribute to technical design and implementation alongside the team. Work with peer engineering leaders to coordinate initiatives that span multiple teams and systems. Build an environment where engineers can do high-quality work, grow their scope, and take ownership of meaningful technical problems. Help shape the next phase of dbt Fusion as a language-aware transformation engine used by the broader data community. Mandatory skills Experience leading teams through multiple concurrent priorities and diverse integration points. Strong software-engineering fundamentals and prior experience as a senior/staff engineer, technical lead, or equivalent hands-on technical leader. Ability to lead or facilitate system design from problem definition through implementation and delivery. Ability to translate complex or ambiguous product requirements into credible engineering estimates, milestones, and tradeoffs. Demonstrated judgment in balancing roadmap delivery with reliability, maintainability, technical debt, and product quality. A hands-on technical orientation, including a willingness and ability to stay close to code and engineering details. You are a good fit if you have: Led a software team through the full development lifecycle: discovery, design, implementation, testing, release, operation, and iteration. Worked on products with substantial technical complexity, integration surfaces, or platform dependencies. Successfully partnered with Product and other engineering teams to create a stable roadmap and make difficult prioritization decisions. Experience in data transformation, orchestration, query engines, databases, developer tools, compilers, language tooling, or a closely related area. Direct dbt experience is helpful but not required. The ability to explain complex technical systems clearly to engineers, product partners, and candidates with different levels of technical depth. A track record of developing strong engineers while maintaining a high technical bar. Comfort operating in a fluid environment where team boundaries, priorities, and scope may evolve. You’ll have an edge if you have: Experience with Rust or another systems programming language, compilers, query planning, language servers, IDE tooling, or developer platforms. Experience building or operating data transformation, orchestration, warehouse, or execution systems. Contributions to open-source projects or experience working with open standards and open technical communities. Familiarity with ecosystems such as Apache Arrow, Apache Iceberg, DuckDB, ADBC, or related data and execution technologies. Experience with SQL semantics, query optimization, transpilation across dialects, data lineage, governance, or developer-facing language features. Experience working in a remote-first or distributed organization with strong written communication practices. Startup or scale-up experience and comfort wearing multiple hats while the organization evolves. The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Ontario Pay Range $206,699 — $232,536.50 CAD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the Role We’re looking for a hands-on Senior Engineering Manager to lead the Core team behind dbt V2, dbt’s next-generation engine. This is a backfill role for an engineering leader who can combine strong software-engineering judgment with people leadership, product partnership, and the ability to navigate a highly cross-functional technical area. The Core team is responsible for building, maintaining, and evolving the Rust-based engine that powers dbt Fusion. The team primarily works on the dbt V2 runtime itself, SQL language features powered by Static Analysis, and new ELT primitives. The role sits at the center of several parts of the dbt product: the engine and orchestration, the IDE and developer experience, adapters and data warehouses, and our new compute offering, LakeCompute. You’ll help the team make sound technical and product decisions while keeping a stable GA product moving forward. About the Team The Core team is part of a broader organization that includes adapters, growth, the VS Code extension, compute, and other closely connected teams. It partners frequently with Product and with the teams responsible for orchestration, IDE experiences, adapters, and LakeCompute. In this role, you can expect to: Lead, coach, and develop a fluid team of approximately 8 engineers working on a critical part of the dbt product. Establish clarity across a technically demanding roadmap with multiple product and engineering stakeholders. Partner closely with Product to translate ambiguous requirements into realistic engineering scope, sequencing, and estimates. Help the team balance new feature development, engine maintenance, framework modernization, documentation, and the stability of a GA product. Guide end-to-end technical design across the engine and its integration points with orchestration, the IDE, adapters, warehouses, and late compute. Support engineers in making sound tradeoffs across product value, technical quality, performance, compatibility, and delivery risk. Actively contribute to technical design and implementation alongside the team. Work with peer engineering leaders to coordinate initiatives that span multiple teams and systems. Build an environment where engineers can do high-quality work, grow their scope, and take ownership of meaningful technical problems. Help shape the next phase of dbt Fusion as a language-aware transformation engine used by the broader data community. Mandatory skills Experience leading teams through multiple concurrent priorities and diverse integration points. Strong software-engineering fundamentals and prior experience as a senior/staff engineer, technical lead, or equivalent hands-on technical leader. Ability to lead or facilitate system design from problem definition through implementation and delivery. Ability to translate complex or ambiguous product requirements into credible engineering estimates, milestones, and tradeoffs. Demonstrated judgment in balancing roadmap delivery with reliability, maintainability, technical debt, and product quality. A hands-on technical orientation, including a willingness and ability to stay close to code and engineering details. You are a good fit if you have: Led a software team through the full development lifecycle: discovery, design, implementation, testing, release, operation, and iteration. Worked on products with substantial technical complexity, integration surfaces, or platform dependencies. Successfully partnered with Product and other engineering teams to create a stable roadmap and make difficult prioritization decisions. Experience in data transformation, orchestration, query engines, databases, developer tools, compilers, language tooling, or a closely related area. Direct dbt experience is helpful but not required. The ability to explain complex technical systems clearly to engineers, product partners, and candidates with different levels of technical depth. A track record of developing strong engineers while maintaining a high technical bar. Comfort operating in a fluid environment where team boundaries, priorities, and scope may evolve. You’ll have an edge if you have: Experience with Rust or another systems programming language, compilers, query planning, language servers, IDE tooling, or developer platforms. Experience building or operating data transformation, orchestration, warehouse, or execution systems. Contributions to open-source projects or experience working with open standards and open technical communities. Familiarity with ecosystems such as Apache Arrow, Apache Iceberg, DuckDB, ADBC, or related data and execution technologies. Experience with SQL semantics, query optimization, transpilation across dialects, data lineage, governance, or developer-facing language features. Experience working in a remote-first or distributed organization with strong written communication practices. Startup or scale-up experience and comfort wearing multiple hats while the organization evolves. The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $227,803.50 — $284,757.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the Role We’re looking for a hands-on Senior Engineering Manager to lead the Core team behind dbt V2, dbt’s next-generation engine. This is a backfill role for an engineering leader who can combine strong software-engineering judgment with people leadership, product partnership, and the ability to navigate a highly cross-functional technical area. The Core team is responsible for building, maintaining, and evolving the Rust-based engine that powers dbt Fusion. The team primarily works on the dbt V2 runtime itself, SQL language features powered by Static Analysis, and new ELT primitives. The role sits at the center of several parts of the dbt product: the engine and orchestration, the IDE and developer experience, adapters and data warehouses, and our new compute offering, LakeCompute. You’ll help the team make sound technical and product decisions while keeping a stable GA product moving forward. About the Team The Core team is part of a broader organization that includes adapters, growth, the VS Code extension, compute, and other closely connected teams. It partners frequently with Product and with the teams responsible for orchestration, IDE experiences, adapters, and LakeCompute. In this role, you can expect to: Lead, coach, and develop a fluid team of approximately 8 engineers working on a critical part of the dbt product. Establish clarity across a technically demanding roadmap with multiple product and engineering stakeholders. Partner closely with Product to translate ambiguous requirements into realistic engineering scope, sequencing, and estimates. Help the team balance new feature development, engine maintenance, framework modernization, documentation, and the stability of a GA product. Guide end-to-end technical design across the engine and its integration points with orchestration, the IDE, adapters, warehouses, and late compute. Support engineers in making sound tradeoffs across product value, technical quality, performance, compatibility, and delivery risk. Actively contribute to technical design and implementation alongside the team. Work with peer engineering leaders to coordinate initiatives that span multiple teams and systems. Build an environment where engineers can do high-quality work, grow their scope, and take ownership of meaningful technical problems. Help shape the next phase of dbt Fusion as a language-aware transformation engine used by the broader data community. Mandatory skills Experience leading teams through multiple concurrent priorities and diverse integration points. Strong software-engineering fundamentals and prior experience as a senior/staff engineer, technical lead, or equivalent hands-on technical leader. Ability to lead or facilitate system design from problem definition through implementation and delivery. Ability to translate complex or ambiguous product requirements into credible engineering estimates, milestones, and tradeoffs. Demonstrated judgment in balancing roadmap delivery with reliability, maintainability, technical debt, and product quality. A hands-on technical orientation, including a willingness and ability to stay close to code and engineering details. You are a good fit if you have: Led a software team through the full development lifecycle: discovery, design, implementation, testing, release, operation, and iteration. Worked on products with substantial technical complexity, integration surfaces, or platform dependencies. Successfully partnered with Product and other engineering teams to create a stable roadmap and make difficult prioritization decisions. Experience in data transformation, orchestration, query engines, databases, developer tools, compilers, language tooling, or a closely related area. Direct dbt experience is helpful but not required. The ability to explain complex technical systems clearly to engineers, product partners, and candidates with different levels of technical depth. A track record of developing strong engineers while maintaining a high technical bar. Comfort operating in a fluid environment where team boundaries, priorities, and scope may evolve. You’ll have an edge if you have: Experience with Rust or another systems programming language, compilers, query planning, language servers, IDE tooling, or developer platforms. Experience building or operating data transformation, orchestration, warehouse, or execution systems. Contributions to open-source projects or experience working with open standards and open technical communities. Familiarity with ecosystems such as Apache Arrow, Apache Iceberg, DuckDB, ADBC, or related data and execution technologies. Experience with SQL semantics, query optimization, transpilation across dialects, data lineage, governance, or developer-facing language features. Experience working in a remote-first or distributed organization with strong written communication practices. Startup or scale-up experience and comfort wearing multiple hats while the organization evolves. The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $240,901 — $301,126.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.