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Location: Belgrade, Serbia About the Company: Qualix DOO is the Serbian entity of the international Adrian Magnus brand, part of the Carazo Enterprise Group founded in 2012. We operate across Europe, the United States, and Latin America. Our mission is to bring the world’s finest handcrafted cigars to enthusiasts with precision, integrity, and a deep respect for tradition. Position Summary This is an on-site role based in our New Belgrade office, requiring strong communication skills, outbound B2B sales experience, and the ability to collaborate effectively with international partners across time zones. As a B2B Sales Agent you will play a key role in supporting our expansion into the German market, working with distributors, shops, and retail networks across Germany. Fluency in German (C1–C2) is required , along with the confidence to introduce and position our premium cigar brands to new B2B partners. Key Responsibilities Conduct outbound B2B sales outreach to distributors, retailers, and cigar shops across Germany and the DACH market. Build and manage a sales pipeline — from prospecting to follow-up, negotiation and closing Present product catalogs, pricing, and brand stories to potential partners Maintain accurate CRM records (HubSpot) and follow structured outreach and follow-up cycles Coordinate virtual meetings, discovery calls, and product presentations Collaborate with internal teams (logistics, operations, distribution) to support order processing Provide ongoing market insights and feedback to help refine sales strategy Achieve monthly and quarterly sales targets aligned with growth goals Ensure excellent communication and relationship-building with all B2B partners Requirements Minimum 2 years of sales experience in a Germany-speaking or DACH -focused market (B2B preferred) Fluent English Strong background in outbound sales and cold outreach Based in Belgrade and available to work on-site from our office, Monday–Friday, 10:00 AM–6:00 PM (CEST) Excellent communication, persuasion, and relationship-building skills Experience using CRM systems and modern sales tools Strong discipline in remote work, self-organization, and time tracking Benefits Full-time employment under a local Serbian contract Attractive performance bonuses based on results Opportunity for growth within a rapidly expanding international brand Work with premium global products and a multicultural team

Location: Bangladesh; Brazil; India; Colombia; Egypt; Ghana About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Mechanical or Aerospace Engineering Expertto lead a team of technical trainers developing realistic, terminal-based engineering tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for engineering accuracy and reproducibility, and ensure automated graders reliably assess technical outcomes. This role combines advanced engineering expertise, computational modeling, technical quality assurance, and team leadership to help evaluate and improve next-generation AI systems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead and mentor a team of 5–10 technical trainers, ensuring consistent task quality, productivity, and timely delivery. Review engineering tasks end to end, including problem statements, geometry and mesh files, simulation inputs, material properties, reference solutions, and automated tests. Validate tasks involving finite-element analysis (FEA), computational fluid dynamics (CFD), thermodynamics, heat transfer, dynamics, robotics, flight simulation, propulsion, and orbital mechanics. Ensure tasks reflect realistic mechanical and aerospace engineering workflows and require meaningful, multi-step technical reasoning. Verify engineering correctness across units, equilibrium, conservation laws, boundary conditions, mesh convergence, solver tolerances, reference frames, and numerical stability. Validate computational environments, simulation tools, solvers, and dependencies to ensure reproducible results. Review automated graders to ensure they assess meaningful engineering outputs, including stresses, deflections, natural frequencies, aerodynamic coefficients, thermal performance, orbital parameters, and safety margins. Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to bypass genuine engineering calculations or simulations. Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval. Onboard trainers, allocate work, monitor quality and throughput, resolve technical blockers, and maintain technical documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Mechanical Engineering, Aerospace Engineering, or a closely related discipline. Strong programming skills in Python, C/C++, Fortran, Julia, or MATLAB/Octave. Proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as FEA, CFD, dynamics, flight simulation, thermal modeling, astrodynamics, guidance, navigation and control (GNC), or propulsion modeling. Strong understanding of engineering simulation, numerical methods, computational modeling, and technical validation. Experience reviewing complex technical work, engineering simulations, computational models, or research outputs. Ability to assess engineering assumptions, numerical accuracy, solver convergence, and computational reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Location: Pakistan; Indonesia; Kenya; Turkey; Nigeria; Vietnam About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Mechanical or Aerospace Engineering Expertto lead a team of technical trainers developing realistic, terminal-based engineering tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for engineering accuracy and reproducibility, and ensure automated graders reliably assess technical outcomes. This role combines advanced engineering expertise, computational modeling, technical quality assurance, and team leadership to help evaluate and improve next-generation AI systems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead and mentor a team of 5–10 technical trainers, ensuring consistent task quality, productivity, and timely delivery. Review engineering tasks end to end, including problem statements, geometry and mesh files, simulation inputs, material properties, reference solutions, and automated tests. Validate tasks involving finite-element analysis (FEA), computational fluid dynamics (CFD), thermodynamics, heat transfer, dynamics, robotics, flight simulation, propulsion, and orbital mechanics. Ensure tasks reflect realistic mechanical and aerospace engineering workflows and require meaningful, multi-step technical reasoning. Verify engineering correctness across units, equilibrium, conservation laws, boundary conditions, mesh convergence, solver tolerances, reference frames, and numerical stability. Validate computational environments, simulation tools, solvers, and dependencies to ensure reproducible results. Review automated graders to ensure they assess meaningful engineering outputs, including stresses, deflections, natural frequencies, aerodynamic coefficients, thermal performance, orbital parameters, and safety margins. Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to bypass genuine engineering calculations or simulations. Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval. Onboard trainers, allocate work, monitor quality and throughput, resolve technical blockers, and maintain technical documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Mechanical Engineering, Aerospace Engineering, or a closely related discipline. Strong programming skills in Python, C/C++, Fortran, Julia, or MATLAB/Octave. Proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as FEA, CFD, dynamics, flight simulation, thermal modeling, astrodynamics, guidance, navigation and control (GNC), or propulsion modeling. Strong understanding of engineering simulation, numerical methods, computational modeling, and technical validation. Experience reviewing complex technical work, engineering simulations, computational models, or research outputs. Ability to assess engineering assumptions, numerical accuracy, solver convergence, and computational reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Location: Bangladesh; Brazil; Colombia; Egypt; Ghana; India About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Computer Science, Electrical Engineering, or Computer Engineering Expert to lead a team of technical trainers developing realistic, terminal-based tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for technical accuracy, reproducibility, and grading reliability, and ensure they reflect authentic software, computational, and electrical engineering workflows. This role combines advanced technical expertise, computational problem-solving, quality assurance, and team leadership to help evaluate and improve next-generation AI systems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead and mentor a team of 5–10 technical trainers, ensuring consistent quality, productivity, and timely task delivery. Review technical tasks end to end, including problem statements, codebases, circuit netlists, hardware description languages (HDL), datasets, computational environments, reference solutions, and automated tests. Validate tasks involving high-performance computing (HPC), parallel computing, algorithms, distributed systems, compilers, operating systems, databases, machine learning systems, GPU computing, circuit design, signal processing, power systems, and embedded systems. Ensure tasks reflect realistic software engineering, research, and electrical engineering workflows requiring meaningful, multi-step technical reasoning. Verify technical correctness across algorithm complexity, numerical accuracy, memory management, concurrency, circuit laws, power balance, signal processing, timing constraints, and system stability. Validate compilers, simulation tools, software dependencies, computational environments, and build processes to ensure reproducible results. Identify unreliable tests caused by nondeterministic behavior, race conditions, hardware-dependent performance thresholds, or simulation convergence issues. Review automated graders to ensure they assess meaningful technical outputs, including functional correctness, performance, frequency response, waveforms, timing, efficiency, and system behavior. Identify technical inaccuracies, flawed assumptions, incorrect tolerances, and ways tasks could be bypassed without genuine computation or engineering analysis. Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval. Onboard trainers, allocate work, monitor quality and throughput, resolve technical blockers, and maintain technical documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Computer Science, Electrical Engineering, Computer Engineering, or a closely related discipline. Strong programming skills in C/C++, Rust, Python, Julia, Fortran, MATLAB/Octave, or hardware description languages (HDL). Advanced proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as parallel computing, systems programming, scientific software development, circuit simulation, signal processing, power systems, or digital hardware design. Strong understanding of algorithms, computational systems, numerical methods, software testing, or electrical engineering principles. Experience reviewing complex codebases, technical implementations, engineering simulations, or research outputs. Ability to evaluate algorithm correctness, computational performance, numerical accuracy, concurrency behavior, and technical reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, race conditions, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Location: Turkey; Nigeria; Kenya; Pakistan; Indonesia; Vietnam About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Computer Science, Electrical Engineering, or Computer Engineering Expert to lead a team of technical trainers developing realistic, terminal-based tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for technical accuracy, reproducibility, and grading reliability, and ensure they reflect authentic software, computational, and electrical engineering workflows. This role combines advanced technical expertise, computational problem-solving, quality assurance, and team leadership to help evaluate and improve next-generation AI systems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead and mentor a team of 5–10 technical trainers, ensuring consistent quality, productivity, and timely task delivery. Review technical tasks end to end, including problem statements, codebases, circuit netlists, hardware description languages (HDL), datasets, computational environments, reference solutions, and automated tests. Validate tasks involving high-performance computing (HPC), parallel computing, algorithms, distributed systems, compilers, operating systems, databases, machine learning systems, GPU computing, circuit design, signal processing, power systems, and embedded systems. Ensure tasks reflect realistic software engineering, research, and electrical engineering workflows requiring meaningful, multi-step technical reasoning. Verify technical correctness across algorithm complexity, numerical accuracy, memory management, concurrency, circuit laws, power balance, signal processing, timing constraints, and system stability. Validate compilers, simulation tools, software dependencies, computational environments, and build processes to ensure reproducible results. Identify unreliable tests caused by nondeterministic behavior, race conditions, hardware-dependent performance thresholds, or simulation convergence issues. Review automated graders to ensure they assess meaningful technical outputs, including functional correctness, performance, frequency response, waveforms, timing, efficiency, and system behavior. Identify technical inaccuracies, flawed assumptions, incorrect tolerances, and ways tasks could be bypassed without genuine computation or engineering analysis. Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval. Onboard trainers, allocate work, monitor quality and throughput, resolve technical blockers, and maintain technical documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Computer Science, Electrical Engineering, Computer Engineering, or a closely related discipline. Strong programming skills in C/C++, Rust, Python, Julia, Fortran, MATLAB/Octave, or hardware description languages (HDL). Advanced proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as parallel computing, systems programming, scientific software development, circuit simulation, signal processing, power systems, or digital hardware design. Strong understanding of algorithms, computational systems, numerical methods, software testing, or electrical engineering principles. Experience reviewing complex codebases, technical implementations, engineering simulations, or research outputs. Ability to evaluate algorithm correctness, computational performance, numerical accuracy, concurrency behavior, and technical reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, race conditions, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Location: Bangladesh; Brazil; Colombia; Egypt; Ghana; India About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Chemical Engineering Expert to lead a team of technical trainers developing realistic, terminal-based engineering tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for technical accuracy, reproducibility, and grading reliability, and ensure that each task reflects authentic chemical engineering workflows. This role combines advanced chemical engineering knowledge, computational modeling, technical quality assurance, and team leadership to improve how AI systems solve complex engineering problems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead, mentor, and coordinate a team of 5–10 technical trainers, ensuring consistent quality, productivity, and timely delivery. Review engineering tasks end to end, including problem statements, reaction kinetics, thermodynamic and property data, process flowsheets, computational environments, reference solutions, and automated tests. Validate tasks involving reaction engineering, thermodynamics, phase equilibria, transport phenomena, separation processes, process simulation, process control, optimization, combustion, and electrochemical engineering. Ensure tasks reflect realistic chemical engineering workflows and require meaningful, multi-step technical reasoning. Verify mass and energy balances, thermodynamic consistency, property data, unit handling, numerical accuracy, and solver convergence. Validate computational models, stiff ODE/DAE solvers, tolerances, initial conditions, dependencies, and simulation results for reproducibility. Review automated graders to ensure they assess meaningful engineering outputs, including conversion, yield, selectivity, purity, energy consumption, and process constraint satisfaction. Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to bypass genuine engineering calculations. Provide actionable technical feedback, track revisions, and ensure issues are resolved before task approval. Onboard trainers, allocate assignments, monitor quality and throughput, resolve technical blockers, and maintain documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Chemical Engineering. Strong programming skills in Python, Julia, C/C++, or MATLAB/Octave. Proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as process modeling, reaction kinetics, thermodynamic modeling, process simulation, or optimization. Strong understanding of chemical engineering fundamentals, numerical methods, computational modeling, and technical validation. Experience reviewing complex technical work, chemical process simulations, computational models, or research outputs. Ability to evaluate mass and energy balances, thermodynamic assumptions, numerical accuracy, solver convergence, and computational reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Location: Pakistan; Indonesia; Kenya; Nigeria; Turkey; Vietnam About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Chemical Engineering Expert to lead a team of technical trainers developing realistic, terminal-based engineering tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for technical accuracy, reproducibility, and grading reliability, and ensure that each task reflects authentic chemical engineering workflows. This role combines advanced chemical engineering knowledge, computational modeling, technical quality assurance, and team leadership to improve how AI systems solve complex engineering problems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead, mentor, and coordinate a team of 5–10 technical trainers, ensuring consistent quality, productivity, and timely delivery. Review engineering tasks end to end, including problem statements, reaction kinetics, thermodynamic and property data, process flowsheets, computational environments, reference solutions, and automated tests. Validate tasks involving reaction engineering, thermodynamics, phase equilibria, transport phenomena, separation processes, process simulation, process control, optimization, combustion, and electrochemical engineering. Ensure tasks reflect realistic chemical engineering workflows and require meaningful, multi-step technical reasoning. Verify mass and energy balances, thermodynamic consistency, property data, unit handling, numerical accuracy, and solver convergence. Validate computational models, stiff ODE/DAE solvers, tolerances, initial conditions, dependencies, and simulation results for reproducibility. Review automated graders to ensure they assess meaningful engineering outputs, including conversion, yield, selectivity, purity, energy consumption, and process constraint satisfaction. Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to bypass genuine engineering calculations. Provide actionable technical feedback, track revisions, and ensure issues are resolved before task approval. Onboard trainers, allocate assignments, monitor quality and throughput, resolve technical blockers, and maintain documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Chemical Engineering. Strong programming skills in Python, Julia, C/C++, or MATLAB/Octave. Proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as process modeling, reaction kinetics, thermodynamic modeling, process simulation, or optimization. Strong understanding of chemical engineering fundamentals, numerical methods, computational modeling, and technical validation. Experience reviewing complex technical work, chemical process simulations, computational models, or research outputs. Ability to evaluate mass and energy balances, thermodynamic assumptions, numerical accuracy, solver convergence, and computational reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Location: Brazil Are you passionate about helping others build sustainable fitness habits? Join us as a Virtual Physical Fitness Trainer, guiding clients through short, goal-specific fitness engagements — all from the convenience of your own space. This is a flexible, freelance role: you set your own hours, making it a great complement to an existing job or private practice. Format at a glance Engagement type: Freelance, virtual-only, 1:1 (video + in-app chat) Session length: 30 or 60 minutes Session volume: Limited credits per presenting issue (per client's employer plan); extensions require a new, distinct goal Service model: Consultation & education — not physical therapy or medical treatment; not overseen by a medical department Client relationship: Short-term and goal-focused — expect healthy client rotation, not long-term retention Why to join us As part of our community, you'll collaborate with other fitness professionals to expand access to high-quality, structured fitness coaching. You'll help clients make real, focused progress within a defined engagement — and then move on to help the next client. What you'll do Provide 1:1 virtual fitness coaching through video sessions and in-app chat, working within each client's allotted credits. Conduct a baseline assessment (PAR-Q, fitness/injury history, and GP clearance for relevant chronic conditions) before building any plan. Design personalized or templated workout programs tailored to the client's goals, fitness level, and equipment access. Educate clients on strength, cardio, flexibility, and recovery principles, and cue proper form via live video. Track progress and close out each presenting issue with a clear outcome before starting a new one. Tag each session with the single Main PI that best matches the client's focus, plus up to three Secondary PIs, per the Q3 2026 PI taxonomy (see the Holistics PI Manual). Recognize when a client's needs go beyond fitness coaching and refer to the appropriate licensed professional or Intellect service. Respond to in-app chat within the 12-hour SLA and complete session notes within 24 hours. What's in scope Personalized/templated training plans and virtual fitness assessments. Live-session coaching, form cues, and technique demonstrations. Progress tracking, goal setting, and motivation/adherence support. General education on warm-up, cool-down, recovery, sleep, and hydration. What's out of scope Diagnosing or treating any injury, illness, or chronic condition. Physical therapy, rehab protocols, or “corrective” treatment. Recommending or prescribing supplements or performance-enhancing substances. Meal plans or specific dietary prescriptions (refer to Nutrition). Counselling on disordered eating or mental health concerns (refer to Intellect's mental health professionals). Promising specific outcomes, timelines, or guaranteed results. Requirements Proven experience as a personal trainer / fitness coach (typically 5+ years of active practice). Bachelor's in Exercise Science, Kinesiology, or related field, plus a recognized certification (e.g., ACE / NASM / NCSF / NSCA / ACSM / NESTA / ISSA), current or renewal in progress. Strong communication in English and local language; able to simplify concepts for non-experts. Language: Must speak Portuguese. Comfortable working within a structured, credit-based consultation model — even if your background involved longer-term or clinical care. Clear judgment about when to refer a client out, and willingness to do so even when it means the engagement ends. Tech-savvy: video conferencing, fitness-tracking tools, comfortable documenting session notes on a platform. PLEASE ATTACH AN ENGLISH VERSION RESUME Benefits Flexible hours and remote work from anywhere. The opportunity to make a focused, meaningful impact for a steady rotation of clients. A collaborative, mission-driven community of wellbeing professionals. Freedom to innovate and bring your unique expertise to our growing platform

Location: Brazil Fuel | Health | Empower | Change As a Virtual Nutritionist/Dietitian , you’ll guide clients toward healthier lives through personalized, evidence-based nutrition counseling. What You’ll Do Deliver virtual nutrition coaching via video and text Create educational and engaging nutrition content Design innovative nutrition programs Build strong, trust-based client relationships Requirements What We’re Looking For Degree in Nutrition or related field RDN or equivalent certification Strong communication and content creation skills Comfort with virtual platforms Benefits What We Offer Flexible, remote work Opportunity to make a global impact Creative and professional freedom Ideal to supplement your current job

Location: Madrid, Spain About the Company: Our client is a global education group bringing together a growing network of more than 20 schools across Europe, Asia and Latin America. The group operates physical schools offering education from kindergarten through to secondary education, combining international schools with local institutions while preserving their individual identities. They are building a global platform focused on supporting its schools, strengthening operational capabilities and driving sustainable growth. With its headquarters in Madrid, the group is expanding its central finance function to support its growing international portfolio and is looking for a Management Accountant to join its FP&A team. About the Role The Management Accountant will support the preparation and consolidation of monthly management accounts, analyse financial performance against budgets and forecasts, and ensure accurate, consistent reporting across the group's international school portfolio. OVERALL RESPONSIBILITY AND BUSINESS SUPPORT •    Support the central finance function through the group management accounts cycle, working as part of a small team being built from scratch. •    Report to the Head of FP&A, playing a central role in the preparation and review of the group’s monthly management accounts as the function continues to be built out. •    Build strong working relationships with school finance leads across the portfolio as a key contributor across the management reporting cycle, alongside significant exposure to the Madrid head office team. •    Help establish robust, well-documented management accounts processes, controls, and ways of working that can scale as the group grows, ensuring continuity and consistency as the team and portfolio expand. PREPARATION OF MANAGEMENT ACCOUNTS •    Prepare the consolidated monthly management accounts, including P&L, balance sheet, cash-flow and supporting schedules, drawing together submissions from across the school portfolio into a single group view. •    Apply agreed group conventions consistently, including FX rates, consolidation adjustments, and presentation formats, ensuring outputs are comparable across schools and over time. •    Prepare variance analysis comparing actuals to budget, forecast and prior periods, with clear commentary on the key drivers of movements for review by the Head of FP&A. •    Maintain clear, well-documented working files and supporting schedules for each reporting cycle, so that the basis for every figure in the management accounts is transparent and can be traced and understood. MONTH-END REVIEWS •    Carry out structured month-end reviews of school-level submissions, checking arithmetic accuracy, internal consistency, and alignment with group reporting conventions before consolidation. •    Identify and follow up on anomalies, unusual movements, or inconsistencies in school submissions, working with school finance leads to resolve queries ahead of the reporting deadline. •    Support the Head of FP&A in reviewing the consolidated management accounts prior to distribution, flagging any areas requiring further explanation or correction. •  Help embed a consistent month-end review checklist and timetable across the portfolio, contributing to its ongoing refinement, controls, and documentation as the function develops. DATA, SYSTEMS, AND INTEGRITY •    Own the integrity of management accounts outputs, including consolidation, reporting, and supporting files, ensuring formulas, links, and consolidation logic are accurate and free of errors. •    Take ownership and maintain clear, well-organised documentation of management accounts processes, templates, data conventions, and reporting logic, so that methodologies are transparent and repeatable across the team. •  Implement and maintain quality control checks across the management accounts and reporting outputs to ensure accuracy and consistency before submission to senior stakeholders. BUSINESS PARTNERING •    Act as the first point of contact for schools on any management accounts queries, providing timely and clear responses or escalating to the Head of FP&A where required. •    Work closely with the Financial Accountant and wider accounting team, who are responsible for the underlying statutory accounts that feed into the management accounts, ensuring a clear handover, shared understanding of account structures, and timely resolution of queries between the two functions. •    Support the Head of FP&A in preparing materials for the CFO and other senior stakeholders, ensuring outputs are accurate, well-documented, and clearly presented. Requirements CANDIDATE PROFILE •    Qualified accountant or finalist (ACCA, CIMA, or equivalent) with experience in a management accounting or financial reporting role, ideally in a multi-entity or international environment. •    Sound understanding of management accounting principles, including P&L, balance sheet and cash-flow preparation, variance analysis, and consolidation. •    Competent Excel skills, with experience working with templates and processes across multiple teams or entities. •    Conscientious, accurate, and comfortable taking ownership of deliverables under reporting deadlines, with a strong instinct for documentation and process. •    Confident communicator, able to work effectively with colleagues across finance functions and school finance leads. •    Full professional fluency in English is essential; additional languages relevant to the portfolio are an advantage. •    Experience in the K-12 or international schools sector is an advantage but not a prerequisite.

Location: Yerevan, Armenia We are looking for a dynamic, high-performing and experienced English and Turkish speaking Account Manager to join our team. If you are customer-oriented with a ‘can do’ attitude, proactive and passionate about our company products, this position is for you. Our ideal candidate has a drive for achieving goals and maintaining a great customer experience. You should be resourceful, analytical, adaptable, and organized with the ability to build rapport with clients. You will act as a main point of contact for our partners with a key focus on account growth, partner satisfaction and prioritization of partners’ needs at a high standard. You will maintain and strengthen long-term, trusting and mutually beneficial relationships with our partners, connect with key business executives and stakeholders, identify and develop new business opportunities. Ultimately, you should collaborate with our sales team to achieve quotas while keeping our partners satisfied & engaged with our products and services in the long run. Responsibilities: • Build, develop & maintain strong, long-lasting and trusted advisor relationships with our partners, stakeholders & sponsors • Act as a primary point of reference and business consultant for assigned partners through email, phone, online presentations and in person meetings • Communicate with partners at a senior level to resolve issues and inquiries • Adhere to the highest professional standards while managing partners’ projects • Collaborate with the Sales team to onboard and integrate new partners, develop existing relationships • Focus on ensuring we maintain superior customer service levels, operational excellence and strategic insight • Manage projects within client relationships, carry out client goals while meeting company goals • Drive client retention, renewals, upsells and client satisfaction • Identify and develop new businesses, existing business growth opportunities with our partners and/or identify areas of improvement • Manage partner’s challenging requests and/or issues escalation to appropriate departments • Actively communicate with relevant departments, ensure the timely and successful delivery of solutions according to partners’  needs and objectives • Resolve complaints and prevent additional issues by improving processes • Monitor and analyze customer’s usage of our product • Collect and analyze data to learn more about partners’ behavior • Forecasts and tracks client account metrics • Feeding back all suggestions for improvement and market research to senior staff • Stay up-to-date with company products and services, identify industry trends • Provide input on new processes and workflows as needed • Update knowledge by participating in educational opportunities, reading professional publications, maintaining personal networks, participating in professional organizations Requirements: • At least 2+ years of proven account management, sales, or business development experience in the industry • Advanced knowledge of Armenian language & excellent knowledge of Turkish/English languages (Russian will be a plus) • Demonstrated ability to communicate, present and influence effectively at all levels of the organization • Experience in delivering client-focused solutions based on customer needs • Proven ability to manage multiple projects at a time while paying strict attention to details • Excellent listening, negotiation and presentation skills • Excellent verbal and written communications skills • Self-motivated individual with the ability to thrive in a results-driven environment • Ability to work under high pressure & Ability to prioritize among competing tasks • Natural relationship builder with integrity, reliability and maturity • Critical thinking and problem-solving skills • Excellent time and project management skills

Location: New York, United States; Charleston, United States; Charlotte, United States; Dallas, United States; Miami, United States Crystalia Glass is seeking an experienced, high-energy, and strategic Head of Sales to spearhead sustainable revenue growth and expand our market presence in the U.S. We are looking for a growth-oriented builder rather than a maintainer—a commercial leader with a proven track record of driving business expansion, developing new market segments, scaling operations, implementing strict CRM discipline, and winning complex, high-ticket sales cycles. The ideal candidate comes from physical, custom, or manufactured product industries with long sales cycles and deep familiarity with the U.S. construction ecosystem, including commercial construction, Union environments, and public-sector bidding. Responsibilities : Business Scaling & Revenue Growth: Develop and execute a comprehensive sales strategy focused on building and expanding the business, capturing new market opportunities. Core Market Focus: Drive high-ticket revenue growth with a primary focus on B2B clients, and dealer networks , commercial BID projects and Union projects (Secondary focus: B2G). Team Leadership & Structure: Architect, develop, and lead high-performing sales teams. Manage sales managers, fostering a culture of accountability, high engagement, and professional growth. Operational Excellence & Analytics: Establish and enforce strict CRM discipline (we use HubSpot). Build, monitor, and analyze sales reports to optimize the sales funnel. End-to-End Sales Management: Oversee the full sales cycle, strictly controlling and optimizing critical metrics, including: Pipeline & Forecast Accuracy Conversion Rates & Sales Cycle / Lead Response Time Discounting & Margin Control CAC (Customer Acquisition Cost) / Cost of Sales Performance by Team / by Channel Quote / Estimate Process Cross-Functional Collaboration: Partner with marketing (experience in marketing is a strong plus), project managers, and estimating teams to ensure smooth execution, accurate quoting, and high client satisfaction. Requirements Experience: 7-10+ years of total experience in sales. 3–5+ years in a sales leadership role (managing teams and other managers). Proven experience managing sales volumes of $75M+ . Industry Background: Strong background in any one of the following areas: custom construction, architectural products, building materials, windows & doors, commercial interiors, remodeling, millwork, cabinetry, stone, flooring, manufacturing, or installation. Sales Profile: Expert knowledge in B2B sales, dealer networks, and tenders/bidding processes (primary focus). Experience with government contracts is a plus. Product Type: Proven track record in physical, custom, or high-ticket products with a long sales cycle, involving manufacturing and/or installation. Skills & Attributes: Data-driven mindset with advanced experience in CRM management, forecasting, and reporting. Unrivaled negotiation, strategic planning, and margin control skills. Exceptional leadership skills. Benefits Competitive base salary + performance-based bonuses. On-site role, Monday to Friday, 8:30 AM – 5:00 PM. Complete ownership of the sales strategy and a chance to lead business expansion in a fast-growing U.S. company. Opportunity to make a tangible, high-impact contribution to the business.

Ищем маркетолога, который возьмёт на себя системный лидген и будет отвечать за поток квалифицированных заявок от платёжеспособной аудитории. Выстраивать систему лидогенерации с нуля или развивать существующую: платный трафик, контент-маркетинг, посевы, коллаборации.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE At Sentry, Support is an engineering discipline. Our customers are developers, and they expect answers from people who can read their stack trace, open the SDK source, and tell them what's actually wrong. We're hiring a Senior Manager to lead Support Engineering. You'll run the team that handles everything from a single developer's SDK question to a production incident at one of our largest enterprise customers. You'll also help drive how we use AI in support: what systems are used, how they best help customers, enable the teams, and how we know the answers they give are right and forward looking. This is a hands-on leadership role. You'll manage people, set the support strategy, get face to face time with customers, while also getting into tickets when it matters. IN THIS ROLE YOU WILL Lead and grow the team - Manage and coach a team of Technical Support Engineers - Set clear expectations for technical depth, response quality, and ownership, and give direct feedback - Design a coverage model that works across time zones, including on-call and escalation paths - Build career paths for Support Engineers who want to go deeper technically, move into management, or move into different teams and practices Own support outcomes - Own and report the team's core metrics: CX, time to resolution, escalation rate, and more - Use support conversations as a signal: find the top drivers of tickets and get them fixed in the product, the docs, internal operations, or the SDKs, not just answered faster Run AI-assisted support - Own the roadmap for our support agents: which request types they handle, what context they need, and when they hand off to a person - Set the quality bar for agent answers and the process for catching incomplete ones - Decide where automation is worth building and where it isn't, based on data Handle escalations and partner across Sentry - Run the escalation process with Engineering: make sure bugs reach the right team with a reproduction and clear impact, and that customers hear back - Be the support lead on high-stakes enterprise issues, working with Customer Success, Solutions Engineering, and Sales - Bring a clear picture of customer pain to Product and Engineering, backed by numbers YOU'LL LOVE THIS JOB IF YOU - Think great support is an engineering problem, not a staffing problem - Want to build the team and the systems at the same time - Can debug a tricky SDK issue yourself and also explain to a VP why their incident took four hours - Would rather fix the cause of 200 tickets than answer them faster - Have strong opinions on where AI helps in support and where it makes things worse, and be willing to discuss this at length. QUALIFICATIONS - 8+ years in technical support, support engineering, or software engineering at a SaaS or developer tools company - 3+ years managing technical support engineers, including hiring and growing a team - Technically credible with senior engineers: comfortable reading code in at least a few of Python, JavaScript/TypeScript, Java, or Ruby, and debugging across frontend, backend, and infrastructure - Solid understanding of distributed systems, APIs, and how observability tools (errors, tracing, logs) fit into them - Hands-on experience running AI or automation in a support org, and a clear view of its failure modes - Track record of using support data to drive product and process changes - Clear, direct written communication with customers, executives, and engineers Bonus - Experience at a developer tools or observability company - Former software engineer - Managed a team spread across multiple time zones - Open source contributor or maintainer The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $160,000 to $180,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Cloud Platform Engineer An overview of this role As a Cloud Platform Engineer on the Runway team, you'll help design, build, and maintain the infrastructure and developer tooling that powers our engineering organization. You'll advance our Kubernetes-based platform, mature our GitOps practices, and expand infrastructure as code adoption across the business. This hands-on role brings together infrastructure, automation, and developer experience, helping application teams deploy and operate their services. What you’ll do Operate and improve production Kubernetes clusters across cloud environments, managing upgrades, scaling, and reliability throughout the cluster lifecycle. Own and extend Argo CD-based GitOps workflows, maintaining ApplicationSets, managing sync policies, and enforcing deployment standards across environments. Write, review, and maintain reusable Terraform modules, with clear practices for state management and drift detection. Monitor platform health, respond to incidents, conduct post-mortems, and improve availability, performance, and observability. Collaborate with application teams to onboard services, and create documentation, runbooks, and self-service tooling that improves developer productivity. Implement role-based access control, network policies, and secrets management to meet infrastructure security and compliance requirements. Integrate platform capabilities with continuous integration and continuous delivery (CI/CD) pipelines to support end-to-end delivery workflows. What you’ll bring Experience operating Kubernetes in production and working with at least one major cloud provider: Amazon Web Services, Google Cloud, or Microsoft Azure. Experience with Argo CD or comparable GitOps tooling, such as Flux. Proficiency in Terraform for cloud infrastructure provisioning, including remote state, workspaces, and module design. Ability to write scripts and automation in Python, Bash, or Go. Familiarity with Helm for Kubernetes package management. Understanding of networking fundamentals, including the Domain Name System (DNS), load balancing, ingress, and service mesh concepts. Clear written and verbal communication, with the ability to document systems and collaborate across teams. Optional: experience with managed, multi-cluster, or multi-region Kubernetes, service meshes, policy as code, observability, or Kubernetes-native infrastructure as code; open source or platform tooling contributions; or relevant certifications. About the team The Runway team builds and maintains infrastructure and developer tooling for GitLab's engineering organization. Its work centers on a Kubernetes-based platform, GitOps delivery practices, and infrastructure as code. The team collaborates with application teams to onboard services and improve developer productivity through documentation, runbooks, and self-service tooling. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $115,000 — $194,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: London, England Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Role overview We are looking for a Senior Backend Engineer to help build and evolve our new Common case-management system, which powers support-case handling across DoorDash, Wolt, and Deliveroo. You will own significant end-to-end initiatives across our backend services: case lifecycle, routing and assignment, queue management, case evidence and history, and migration from legacy systems. This is a hands-on role for someone who can turn ambiguous customer and operational problems into durable technical solutions, coordinate other engineers, and set the standard for reliability and craftsmanship on the team. What you’ll do Lead one or more project-level Case Management initiatives, on your own or by guiding a group of engineers, from discovery and design through rollout, measurement, and operational ownership. Design and build scalable backend services and APIs for case creation, routing, assignment, transfers, audit history, notes, attachments, and queue-management workflows. Help deliver feature parity with legacy platforms while safely migrating traffic across DoorDash, Wolt, and Deliveroo. Make and own most technical decisions within your scope. Write project-level design documents covering how sub-features interact, identify dependencies and risks, and break work into parallelizable delivery plans. Scope ambiguous customer and operational problems, weigh long-term against short-term trade-offs, and design durable solutions. Partner with Product, Operations, Support, Data, and other engineering teams to define the right problems. Shape the team roadmap through prototypes, data analysis, project proposals, and backlog prioritization. Run the coordination a project needs, such as status updates and dependency tracking, and escalate early to keep delivery on time. Enforce team-wide quality objectives: lead design reviews, calibrate quality metrics, and improve logging, monitoring, alerting, and escalation policies. Serve as first responder or incident commander, model good incident practice, and turn what you learn into playbooks and backlog work. Introduce and guide AI best practices for the team, including evals, data privacy, and review of AI-generated code, and take part in AI-powered projects when they are central to the product. Design reusable, self-serviceable solutions, and consider cost efficiency, including compute and AI costs, in key designs. Mentor engineers through code reviews, design guidance, tech talks, and constructive feedback. Interview candidates, join sell calls, and take part in hiring events when the team needs them. Must-have qualifications Strong backend engineering experience, including designing and operating backend services, APIs, asynchronous workflows, and data models at meaningful scale. Proficiency in at least one modern backend language, and a record of writing exemplary code for the core functionality of key components. Demonstrated ownership of complex, customer-facing or operations-critical projects from technical design through production rollout. Experience breaking projects into parallelizable work, identifying dependencies and risks, and giving accurate estimates for yourself and others. Hands-on experience using AI development tools to improve productivity, while validating generated output for correctness, security, privacy, maintainability, and reliability. Strong product judgment: the ability to turn ambiguous workflows and user needs into simple, maintainable technical solutions. Proven ability to collaborate across functions, bring the right stakeholders into decisions at the right time, and explain trade-offs clearly to technical and non-technical audiences. Strong engineering craft: testing, code review, observability, incident response, security, and operational readiness, with experience designing for reliability. Comfort working on systems with high correctness and auditability requirements, including traceability of decisions and changes. A mentoring mindset and a record of raising team-wide engineering standards. Nice-to-have qualifications Go experience. Experience with migration from legacy systems, gradual rollouts, traffic shadowing, and feature-parity programs. Experience supporting internal tools or operational user interfaces from the backend side. Experience with high-volume, multi-region, or multi-tenant systems. Experience as an incident commander or in running an on-call rotation. Experience building AI-powered features, including evaluation of model output. What success looks like Delivers a major Case Management initiative with clear technical ownership, predictable execution, and measurable customer or business impact. Improves the reliability, maintainability, and cost efficiency of the Common system while enabling safe migration from legacy case-management systems. Helps move support traffic onto the Common system without reducing case-resolution quality. Builds solutions that other engineers and operators can confidently reuse and operate. Acts as a technical leader within the team: unblocks peers and partner teams, improves engineering decisions, influences the roadmap, and strengthens cross-functional execution. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE As a Senior Electrical Engineer on the Hardware team in Boston, you’ll design and develop the electrical systems that bring advanced humanoid robots to life. This is a hands-on role where you’ll work across the full spectrum of robotics electrical engineering—from electrical system designs, electromechanical integrations, PCB layouts, firmware and device programming, to hands-on debugging in the lab. Your work will span from small test systems to fully integrated prototype robots, and provide you with a unique opportunity to have a big impact. WHAT YOU’LL DO - Design Electrical Systems for Robotics: Develop electrical systems that power and control Humanoid’s advanced robots, with a focus on sensors, compute architecture, and power systems. - Conduct Circuit Analysis and Debugging: Use strong circuit analysis fundamentals to review electrical designs, conduct failure analysis, and troubleshoot complex electrical systems. - PCB Design and Schematic Capture: Create detailed schematics and PCB layouts using Altium, ensuring the designs meet the performance, reliability, and manufacturability standards required for robotics. - Develop Embedded Firmware: Write firmware in C and HDL to program microcontrollers, DSPs, and FPGAs, testing and refining embedded designs to ensure optimal performance. - Leverage Linux for Robotics: Utilize your knowledge of command-line Linux to configure networks, run software, and interface with robots for testing and validation. - Hands-On Lab Work: Use a variety of lab equipment, including oscilloscopes, DMMs, power supplies, programmable loads, and spectrum analyzers, to validate designs and solve complex electrical engineering challenges. - Collaborate Across Teams: Work closely with mechanical engineers, software developers, and other team members to integrate electrical systems with robotics hardware, ensuring seamless operation and performance. WHAT WE'RE LOOKING FOR - Experience with high-speed data technologies such as PCIE, Ethernet, EtherCAT and/or other communication protocols in PCB-based devices and systems. - Experience developing power regulation and distribution systems, including particular expertise with short-circuit protection systems, switching power supplies, and creative power management technologies. - Proficiency with PCB design tools (e.g., Altium) for schematic capture and layout. - Familiarity with embedded programming, including C, HDL, and other relevant languages for microcontrollers, DSPs, and FPGAs. - Working knowledge of circuit simulation, analysis, and debugging techniques, including the use of oscilloscopes, power supplies, and spectrum analyzers. - Experience with Python, C++, LabView, or MATLAB for automation and testing. - Knowledge of SolidWorks or similar mechanical CAD tools. - Familiarity with Verilog or VHDL for hardware design and simulation. - Experience in building Linux kernels and modifying or writing device drivers. Please note: few people will check every single box. If you’ve got solid electrical engineering fundamentals and strengths in some of these areas, we’d love to hear from you! WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Generous time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with a 4% employer match. - Meaningful equity with upside as we scale - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the expected base salary range is $160K–$215K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: San Francisco Bay Area, USA Workplace: Hybrid Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the role: Higgsfield AI is seeking a Revenue Accountant to support our rapidly growing global finance organization. As the business continues to scale, we're looking for a highly organized, detail-oriented accounting professional to own the accounts receivable process end-to-end. You'll work closely with Finance, Sales, Customer Success, and Legal to ensure timely billing, accurate revenue support, and an exceptional customer experience. The ideal candidate thrives in high-growth environments, enjoys improving processes, and is passionate about building scalable financial operations. What you'll do: Billing & Order-to-Cash - Own the invoicing process end-to-end - generate accurate billing schedules and invoices on time, proactively monitor accounts for non-payment, delayed payment, and irregularities, and maintain AR aging and collections documentation to ensure prompt follow-up with customers and internal teams - Lead AR collections - prioritize and manage accounts, follow collection guidelines to ensure timely escalation, and collaborate cross-functionally to drive dispute resolution and payment plan negotiations - Own customer and payment inquiries - proactively resolve billing questions such as account statements, payment history, and withholding tax forms, and escalate complex issues promptly - Collaborate with Sales, Customer Success and Legal to ensure accurate contract setup and billing - Support customer onboarding by ensuring billing information and payment terms are correctly established Revenue Accounting - Support revenue recognition in accordance with ASC 606, with a strong focus on consumption-based revenue recognition - Drive month-end close deliverables, including journal entries, revenue and related reconciliations, and flux analysis to support leadership reporting - Support audit readiness and assist with the company's first-year financial audit, including preparing schedules and documentation and responding to auditor requests Build Scalable Processes - Identify opportunities to automate and improve billing, collections, and cash application workflows - Help develop policies, documentation, and internal controls to support a rapidly growing business - Contribute to finance systems optimization and reporting improvements - Take on ad-hoc projects and process improvement initiatives as they arise Requirements: - Bachelor's degree in Accounting, Finance, or a related field - 3 - 6 years of progressive accounting experience, including revenue accounting in a SaaS or technology company - Strong understanding of ASC 606 and SaaS revenue recognition concepts - Ability to work independently in a fast-paced, high-volume environment with an emphasis on accuracy and timeliness - Familiarity with ERP systems such as NetSuite and revenue automation tools such as Stripe, HubiFi, or Zuora - Experience with AI, cloud infrastructure, consumption-based pricing, or usage-based billing models - Comfortable using AI-powered tools (e.g., Claude); prior AI experience isn't required, but a willingness to learn and adopt new tools is expected - Experience improving accounting processes and implementing automation. Compensation & Benefits - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $100,000 - $140,000, depending on experience, skills, scope, and location. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.