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Are you looking for the next professional opportunity that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Junior Brokerage Officer to join our rapidly expanding team. Join a high-caliber team and contribute to its success with your passion, hard work, and positive attitude. About Tickmill. Founded in 2014, Tickmill has grown into a global financial services group of 300+ people, with regulated entities across major jurisdictions and a client base built on trust in active trading — spanning CFDs, Futures and Options. That foundation — capital, licensing, infrastructure and an established international client base — is what makes the next stage possible: building genuinely new product lines in Stocks, ETFs, Investing, Wealth and Prediction Markets, aimed at a much larger consumer audience than our existing trading business alone. What the job looks like? The Junior Brokerage Officer will have the opportunity to: Help Business Development and Support teams in handling trade-related queries and complaints, while resolving them in a timely and professional manner. Handle and escalate technical issues to the relevant departments within the organization. Work closely with the Compliance department in handling high-risk complaints. Carry out trade surveillance, investigate irregular activity across a wide range of asset classes, and report any suspicious activities to Brokerage and Compliance departments. Work on developing new tools to facilitate daily operations. Prepare the required competitor analysis and market research. Produce necessary complex reports as required by the company’s management and regulatory bodies. Perform any additional duties and localized tasks as and when required. What will you need to be able to do the job? Minimum 3 years of experience in the FX & CFD environment. College or University Degree in Finance, Mathematics, Economics, or any other related field. Experience with MT4 and MT5. Fluency in English, both orally and in writing. Ability to work under pressure and meet deadlines. Attention to detail is critical. Positive can-do attitude. High level of work ethic. Excellent team player. It will be considered as a plus if you have: Experience with Exchange Traded Derivatives What to expect from our recruitment process: First interview with TA & Hiring Manager Final interview with top management Make your next Career step and apply NOW! * Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis

Location: Cambridge, United States D-ploy is an IT and Engineering Solutions company operating across Europe and the United States. We deliver innovative and reliable IT services to clients across various industries, helping businesses maintain efficient, secure, and high-performing technology environments. We are looking for a skilled and motivated Lab IT Support Specialist to join our team in Cambridge, Massachusetts. In this role, you will provide hands-on technical support for laboratory IT systems, scientific instruments, and associated infrastructure within a dynamic life sciences environment. You will work closely with scientists, laboratory operations, IT teams, and external vendors to ensure the reliability, security, and smooth operation of laboratory technology. Tasks and Responsibilities Provide hands-on IT support and troubleshooting for laboratory instruments, connected workstations, and associated computer systems. Install, configure, maintain, and upgrade Windows-based workstations and laboratory IT equipment. Troubleshoot network connectivity, software, hardware, and communication issues between laboratory instruments, servers, and IT infrastructure. Support specialized laboratory applications, including Waters Empower, Incucyte, and related scientific software. Manage laboratory data archiving, backups, access permissions, and system maintenance activities. Provide technical assistance during laboratory equipment installations, relocations, upgrades, and replacements. Configure, maintain, and troubleshoot tablets and peripheral devices used in laboratory workflows. Collaborate with scientists, laboratory personnel, corporate IT teams, and external vendors to resolve technical issues. Maintain accurate documentation of system configurations, troubleshooting procedures, and IT support activities. Ensure laboratory IT systems comply with applicable security, data integrity, and operational requirements. Provide general onsite IT and end-user support when required. Requirements Minimum 2 years of experience working in or providing IT support to a laboratory environment. Experience supporting Windows-based workstations and servers, preferably within pharmaceutical, biotechnology, or scientific research environments. Strong hardware, software, and network troubleshooting skills. Experience supporting computers and IT systems connected to laboratory instruments. Knowledge of network connectivity, access management, and IT infrastructure. Experience installing, configuring, maintaining, and upgrading computer systems. Ability to troubleshoot technical issues independently and provide hands-on onsite support. Experience working with laboratory personnel, IT teams, and external vendors. Strong communication, problem-solving, and organizational skills. Ability to maintain technical documentation and follow established IT support procedures. Fluent in English. Valid criminal record extract, not older than three months, required. Nice to have Experience supporting laboratory applications such as Waters Empower, Incucyte, LIMS, or ELN . Familiarity with GxP-regulated laboratory environments. Experience with scientific data management, archiving, backups, and data integrity requirements. Knowledge of validated laboratory systems and change control processes. Experience supporting specialized laboratory peripherals, including Zebra or Brady label printers. Previous experience in the pharmaceutical, biotechnology, or life sciences industry. Benefits Broad range of tasks and responsibilities Friendly and international working environment Professional development opportunities Referral program (“Fishing for Friends”) Company-sponsored events Is IT in your DNA?

Location: Sweden; Finland; Norway; Denmark About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. Role Type: Full-time Engagement: Independent Contractor Languages: Fluent Swedish & English About the Company Our client is a high-growth sales acceleration partner specializing in outsourced sales development and lead generation for complex B2B markets. With over a decade of expertise, the team supports ambitious brands across the UK, Europe, and North America by managing high-value sales cycles in sectors such as FinTech, HealthTech, and Manufacturing. They combine a consultative, question-based methodology with a modern tech stack and AI-driven insights to transform lead flow into tangible revenue. Job Summary Are you a multilingual sales professional looking to build a career within a globally recognized sales acceleration firm? This team has spent the last years perfecting the art of outsourced sales, providing high-growth companies with the strategy and execution they need to scale. We are seeking a determined, coachable SDR to act as the frontline for our clients, breaking into new markets across Europe and driving meaningful business opportunities. If you thrive in a structured, high-performance environment and want to be mentored by the best in the business, this is the role for you. Key Responsibilities Execute high-volume outbound prospecting, averaging 50 calls per day to engage key decision-makers. Manage the full top-of-funnel sales cycle, from initial research and outreach to qualifying interest. Consistently achieve a target of 10 qualified outbound opportunities per month. Utilize Salesforce to maintain meticulous records of prospect interactions and pipeline health. Collaborating with internal teams to refine messaging based on market feedback and cultural nuances. Requirements Professional fluency in English AND one of the following languages: Swedish, Polish, or Czech. Proven experience in a Sales Development Representative (SDR) or high-volume outbound role. Ability to work UK business hours (9:00 AM – 5:00 PM GMT) regardless of your physical location. Exceptional communication skills with the ability to build rapport quickly over the phone. A curious and coachable mindset, with a desire to master proven sales methodologies. Self-motivated and determined to hit and exceed performance KPIs. Nice-to-Haves Prior experience working within an outsourced sales or agency environment. Advanced proficiency in Salesforce or similar CRM platforms. Experience selling technology or professional services. Benefits 🚀 Work with high-growth international companies 🎯 Performance-based bonuses and incentives 🤝 Direct hire with global clients (not outsourced) 🧠 Ongoing training, mentorship, and sales development support

Location: Ukraine Partner One is a leading investment group with a 30-year history of acquiring and growing successful software companies. Trusted by over 2,000 of the world’s largest corporations and governments, Partner One owns some of the fastest-growing enterprise software companies globally. Partner One is looking for an Investment Associate to join the team. The Investment Associate will be part of the Mergers and Acquisitions team and will be responsible for supporting activities related to due diligence and the execution of acquisitions. Responsibilities Conduct overview and analysis of commercial and financial data of acquisition targets. Formulate and present the assessment of the acquisition targets’ initial fit. Conduct market research to understand industry trends and recognize new acquisition opportunities. Identify software businesses that meet our acquisition criteria and metrics, and move opportunities through the deal cycle. Support the M&A team with various ad hoc tasks related to the closing of live deals. Collaborate and coordinate with cross-functional teams on data requests, information sharing, project team meetings, and deal execution. Requirements Between 3 and 7 years of experience in one or more of the following areas is required: Transaction advisory services, including Quality of Earnings and Quality of Revenue engagements Buy-side financial due diligence advisory Public accounting / external audit serving technology or software companies Corporate development, FP&A, or finance at software or SaaS businesses Revenue accounting and operations at software or SaaS businesses Controllership / accounting operations at software or SaaS businesses Business operations or strategic finance at software or SaaS businesses Strong experience analyzing and evaluating software and SaaS companies Working knowledge of US GAAP and IFRS accounting standards and policies. Demonstrated strong academic performance at a top-tier institution. Degree in Finance, Accounting, or a related business field; CPA or CFA track is a significant plus. Maturity and presence to interact effectively with C-level executives. Availability to work half of each day in alignment with the business hours of our North American office. Self-starter with strong sales and communication skills. Strong command of written and spoken English. Strong analytical and Microsoft Suite skills, with a high attention to detail.

Location: United States; Canada; Australia; New Zealand; United Kingdom 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 Job We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges. This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures. Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous experience in AI model training is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on real-world hardware engineering problems. AI CODING AGENT EXPERIENCE: Mandatory. Key Responsibilities Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios. Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods. Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving. Use programming and engineering software to model, simulate, analyze, and validate hardware systems. Develop Python scripts and other computational tools to automate engineering calculations and validation workflows. Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints. Validate engineering models and simulation results against experimental or physical test data. Develop and apply verification and testing methodologies. Investigate complex hardware failures, identify root causes, and recommend corrective actions. Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving. Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable. Requirements Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline. Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. Demonstrated ownership of substantial engineering work, such as: Taking a hardware product or subsystem into production. Validating engineering models against physical testing. Developing engineering test or verification systems. Diagnosing and resolving complex hardware failures. Mandatory hands-on experience working with AI Coding Agents. Strong practical programming skills and the ability to independently write, understand, debug, and execute code. Experience using programming languages or engineering tools relevant to hardware development and analysis. Ability to connect first-principles engineering knowledge with practical design and operational constraints. Strong quantitative, analytical, and technical reasoning skills. Ability to produce clear, technically accurate, and independently verifiable engineering solutions. Strong written and spoken English communication skills.

Location: Singapore; Malaysia; Philippines; Indonesia; Thailand; 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 Job We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges. This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures. Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous experience in AI model training is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on real-world hardware engineering problems. AI CODING AGENT EXPERIENCE: Mandatory. Key Responsibilities Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios. Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods. Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving. Use programming and engineering software to model, simulate, analyze, and validate hardware systems. Develop Python scripts and other computational tools to automate engineering calculations and validation workflows. Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints. Validate engineering models and simulation results against experimental or physical test data. Develop and apply verification and testing methodologies. Investigate complex hardware failures, identify root causes, and recommend corrective actions. Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving. Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable. Requirements Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline. Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. Demonstrated ownership of substantial engineering work, such as: Taking a hardware product or subsystem into production. Validating engineering models against physical testing. Developing engineering test or verification systems. Diagnosing and resolving complex hardware failures. Mandatory hands-on experience working with AI Coding Agents. Strong practical programming skills and the ability to independently write, understand, debug, and execute code. Experience using programming languages or engineering tools relevant to hardware development and analysis. Ability to connect first-principles engineering knowledge with practical design and operational constraints. Strong quantitative, analytical, and technical reasoning skills. Ability to produce clear, technically accurate, and independently verifiable engineering solutions. Strong written and spoken English communication skills.

Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan 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 Job We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges. This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures. Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous experience in AI model training is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on real-world hardware engineering problems. AI CODING AGENT EXPERIENCE: Mandatory. Key Responsibilities Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios. Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods. Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving. Use programming and engineering software to model, simulate, analyze, and validate hardware systems. Develop Python scripts and other computational tools to automate engineering calculations and validation workflows. Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints. Validate engineering models and simulation results against experimental or physical test data. Develop and apply verification and testing methodologies. Investigate complex hardware failures, identify root causes, and recommend corrective actions. Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving. Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable. Requirements Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline. Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. Demonstrated ownership of substantial engineering work, such as: Taking a hardware product or subsystem into production. Validating engineering models against physical testing. Developing engineering test or verification systems. Diagnosing and resolving complex hardware failures. Mandatory hands-on experience working with AI Coding Agents. Strong practical programming skills and the ability to independently write, understand, debug, and execute code. Experience using programming languages or engineering tools relevant to hardware development and analysis. Ability to connect first-principles engineering knowledge with practical design and operational constraints. Strong quantitative, analytical, and technical reasoning skills. Ability to produce clear, technically accurate, and independently verifiable engineering solutions. Strong written and spoken English communication skills.

Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan 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 Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: Malaysia; Singapore; Philippines; Indonesia; Vietnam; Thailand 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 Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: United States; Canada; Australia; New Zealand; United Kingdom 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 Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: Australia What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Manager, Security Operations Center Location: Remote Australia Compensation Range: $180,000 to $215,000 AUD base plus bonus and equity. What You’ll Do: As our Principal SOC Analyst in Australia, you're the most senior technical voice on the APAC SOC floor, working Monday to Friday. You'll take ownership of the hardest intrusions, turn what the floor sees every day into durable detection and product improvements, and raise the bar for every analyst around you. You'll lead by example as a cultural driver for the team, and you'll help build our Human Led Agentic SOC, where agents handle volume and humans own quality. You'll work closely with Product, Product Research and Detection Engineering & Threat Hunting. We'll also support you in publishing your research through Huntress blogs, webinars and conference talks. Responsibilities: Own complex, multi-host intrusions end to end, from triage through forensic timelining, root cause and remediation, across endpoint, identity (Microsoft 365 / Google Workspace) and SIEM telemetry Act as the SOC's technical partner to Product, Product Research and DE&TH: turn recurring floor pain points into lasting detection, suppression and product fixes rather than workarounds Perform advanced static and dynamic malware analysis, research emerging tradecraft, and publish findings through Huntress content Find repeatable investigation patterns and toil, then design, build and maintain both automation and human-led agentic workflows with Workflow Engine owners, Product and Engineering, with inline QC/QA built in from the start Own quality on the floor: grade AI agent and analyst output, trace misses to their root cause and fix them at the source, and act as final technical reviewer on detection tuning, suppression decisions and high-impact incident reports Provide technical leadership and mentoring across every level of the team: set investigation standards, run case reviews, ride-alongs and knowledge sessions, advise the Senior Manager on SOC direction, and help assess candidates in the hiring process Be a cultural driver for the team: model Give a $hit, Warrior Spirit and Outcome-Obsessed, keep a low-ego, share-everything team culture, and champion the “agents handle volume, humans own quality” mindset Handle threat-related escalations from SOC Support, writing clear explanations of complex activity and its business risk for technical and non-technical audiences What You Bring To The Team: 6+ years in SOC, Incident Response, DFIR or MDR roles, including leading multi-host intrusion investigations Deep knowledge of attacker tradecraft across MITRE ATT&CK (credential access, lateral movement, persistence, defense evasion, living-off-the-land) and how to detect it Deep forensic and investigation experience across Windows, macOS and Linux Strong cloud identity investigation and remediation experience in Microsoft 365 / Entra ID and Google Workspace Advanced static and dynamic malware analysis, including extracting IOCs and determining capability and intent Strong enterprise Windows administration (Active Directory, Group Policy, PowerShell, domain trusts) and core networking knowledge Strong hands-on AI skills: daily use of tools such as Claude and Codex for analysis, research and building automation and agentic workflows (Python, PowerShell or similar), with sound judgment about validating their output Understanding of inline quality delivery: building QC/QA into workflows as they run (quality gates, statistical sampling, drift detection and regression testing) rather than relying on after-the-fact review Proven technical leadership and mentoring: you've raised the standard of a team, not just your own work, and you explain complex findings clearly in writing and verbally Preferred Qualifications: Published research, blogs, conference talks or open-source security tooling Detection engineering experience: writing and tuning detections and SIEM queries Investigations in other cloud platforms such as Azure, AWS or GCP Previous MSP/MSSP/MDR experience and familiarity with RMM tools What We Offer: Fully remote work At least one annual trip to the US for Summer Summit, with additional local events in Australia! New starter home office set up reimbursement ($800 AUD) 12 weeks paid parental leave for both primary and secondary carers Monthly digital allowance for personal phone and internet costs ($185 AUD) Monthly home office tech stipend to upgrade or replace equipment ($40 AUD) Subsidised private health insurance through our preferred provider Stock options for all full-time employees Access to the BetterUp platform for coaching, personal, and professional growth People from all culturally diverse backgrounds, including Aboriginal & Torres Strait Islander Peoples, are encouraged to apply. Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

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 We're hiring a Senior Prototype Engineer to join our Hardware team based in Boston. This is a hands-on role where you will rapidly iterate, assemble, diagnose, and evolve advanced robotic platforms for real-world use. WHAT YOU’LL DO - Lead troubleshooting and resolution of complex electrical issues in prototype humanoid robots, including operational and in-development systems; perform detailed failure analysis and share learnings with hardware/software engineering teams. - Collaborate closely with multidisciplinary engineers on prototype design, assembly, and bring-up, especially high-density electromechanical integrations. - Create, maintain, and execute clear test procedures, troubleshooting guides, and repair runbooks for the prototyping lab to ensure high standards and rapid iteration cycles. - Design, document, and iterate on cable assemblies, test jigs, and harnesses optimized for repeated use on dynamic robotic platforms. - Identify and own opportunities for continuous process and product improvement—minimizing downtime and improving test/repair efficiency. - Contribute to robust feedback loops across design, build, and test, driving first-pass yield and manufacturability. WHAT WE'RE LOOKING FOR - Demonstrated experience in rapid physical prototyping, hands-on debug of custom hardware, and troubleshooting complex electrical systems in robotics or similar domains. - Working knowledge of low-voltage and mixed-signal circuits, connectors, sensors, and compact electromechanical systems. - Track record communicating concisely via documentation—procedures, test plans, diagnostics, and lessons learned. - Adept collaborating across mechanical, electrical, and software engineering boundaries to solve urgent, ambiguous issues. - Comfortable in a high-velocity, high-ambiguity startup setting where priorities shift fast. - Experience designing for manufacturability and reliability in the context of human-sized or mobile robotics is a plus. - Familiarity with automated test and diagnostic tools used in modern hardware labs. 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. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Equity included–we believe builders should share in what they build. - 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 $115K–$160K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: APAC - Australia About the Job: LaunchDarkly is looking for an experienced, self-directed Sales Development Representative to own the first stage of engagement across APAC. You will manage and qualify inbound leads, event MQLs, and accounts showing meaningful engagement through our account-based programs. This is not a purely reactive lead-response role. You will combine fast, consultative follow-up with thoughtful, proactive outreach to turn customer interest and buying signals into qualified meetings and pipeline. Responsibilities: Act as the first point of contact for prospective customers across the region, creating a fast, thoughtful, and credible first impression. Respond rapidly to high-intent inbound inquiries, including demo requests, pricing requests, trials, contact forms, and other hand-raisers. Own follow-up for event leads, adapting outreach based on the person, account, and engagement history. Research and proactively engage targeted accounts that show meaningful engagement and buying intent. Convert qualified interest into sales-ready meetings and opportunities for Account Executives. Execute coordinated outreach across phone, email, LinkedIn, and other approved channels. Maintain complete, accurate, and timely activity, qualification notes, and account context in Salesforce. Partner closely with Account Executives, Marketing, Revenue Operations, and the global SDR organization to improve lead quality, routing, messaging, and conversion. Share patterns and feedback from prospects so the broader team can improve campaigns, events, content, and the customer journey. Qualifications: At least 1 year of successful SDR or BDR experience in B2B SaaS or a similar environment. A demonstrated record of setting goals, taking ownership, and delivering measurable results. Experience communicating with customers, prospects, or other external audiences. Strong judgment and the ability to operate independently. Excellent written and verbal communication skills in English, with the confidence to engage senior and technical stakeholders. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Remote, Worldwide Workplace: remote About Distru Distru is the #1 ERP in the cannabis industry with $15B in sales processed through our platform. We've built a battle-tested ERP and B2B eCommerce platform that powers inventory, manufacturing, sales, and logistics, and we're now building AI infrastructure on top of it to give commercial businesses their all-in-one AI stack. We're growing and profitable, with 5/5 stars on Glassdoor. Our investors include Felicis Ventures, Global Founders Capital, Poseidon Asset Management, and Village Global, who have funded companies such as Shopify, Cruise, HelloFresh, Facebook, Slack, and Opendoor. Get to know the team, our culture and our full benefits at distru.com/careers! The Role AI is at an inflection point for enterprise use, and AI assistants like Claude, Codex, and Grok are seeing record adoption at work. We believe the system of record has never been more valuable for organizing the data AI acts on. We started with our AI Order Agent, now rolled out across our customer base, which lets buyers submit orders from any source in any format. It's the first piece of a much bigger agentic ecosystem we’re building, and we're moving most of our engineering effort to AI-first work to build it. You'll work directly with our Director of AI Engineering to own the technical buildout of our AI product suite, including: Agentic harness: a multi-agent system that safely operates across a business's core tools (ERP, CRM, spreadsheets, calendars, email, analytics, compliance systems) MCP: our MCP that connects Distru to external AI harnesses Context Layer: our context layer that ingests customer data, builds memories and profiles, and feeds back into our harness to create more personalized AI experiences for our customers Evals: the eval suites that make our agents reliable in production And more… You’ll be working directly on the AI system from the ground up and make strong, opinionated calls on the agentic stack and where it goes next. The AI space moves fast and the specifics will change, so this technical vision is something you'll mold. You'll report to the VP of Engineering and the Director of AI Engineering, and work closely with the rest of the product team, eng team, and our customers. What you'll do Agentic engineering Architect and build a production multi-agent system that can safely take actions across Distru and our customer’s core systems Iterate and maintain the MCP that connects Distru to Claude & Codex. Own reliability, observability, and durable execution end to end. The harness takes real actions on customers' data, so the bar is high. Write evals to improve our agentic systems from real customer use cases Build a unified data system that pulls data from multiple sources into a singular data layer that can be exposed to Claude & Codex via an MCP Build a contextual memory system that ingests our customers' data and improves how our agents work for them Set the architectural standards for how agents are built, tested, and shipped at Distru, and bring the rest of eng along AI research & experimentation Keep pace with the latest agentic frameworks, harnesses, toolkits, models, and bring in better approaches as they emerge Rapidly prototype new ideas to present to our team and our customers Engineering workflow Build hands-on with Claude Code and similar tools as part of your own workflow Improve our agentic coding workflow and bring new discoveries to the team What success looks like at 6 months You've shipped core improvements to our harness in production that our customers use daily, with clear observability and iteration for improvement You’ve shipped and iterated on many MCP tools and improvements Every agent you own has an eval suite and observability, so the team catches regressions before customers do You own the architecture of the agentic stack, and other engineers build against patterns you set You’ve built prototypes on how our agentic infrastructure can improve (i.e. a new way to retrieve memories, an agentic onboarding process for our customers) You’ve raised the technical bar on at least one thing the team was doing the slow way What we look for AI fluency For every AI role, we look for three things: Tool fluency: you build with Claude Code or similar every day, you've built your own skills, agents, or workflows, and you can explain why your setup looks the way it does. Workflow fluency: you write evals before you trust a prompt, and you know when a model is the wrong tool and plain code is the right one. Build fluency: you've put agents in front of real users, with guardrails, observability, and a way to roll back. You use AI tools daily and can tell us specifically where your fluency is strong and where you're still building it. Must have 7+ years in full-stack development, ideally on B2B SaaS applications Multi-agent harnesses: hands-on experience building multi-agent harnesses in production, not just prototypes or personal projects MCPs: you've built MCPs that are used in production Production systems: a strong grasp of reliability, observability, permissions, and safe workflow execution Product and engineering: you've operated as both, and you're comfortable owning scoping and decisions, not just implementation Modern stack: proficiency in React, TypeScript, Node, PostgreSQL, GraphQL, and LangGraph, and you pick up new tools and frameworks quickly Startup agility: you've worked at an early-stage startup (under 20 engineers) and you’ve been the one setting direction in that ambiguity, not waiting for it Low ego: you're team-first and measure success by what shipped and whether it worked, not by internal politics Influence : you’ve shaped roadmap, not just executed it Clear communication: you raise concerns and propose solutions before being asked Strong signal Background building supply chain, ERP, CRM, B2B marketplace, or accounting software UX design experience Agentic systems work beyond the must-haves, such as evaluation frameworks or agent-to-agent protocols Experience using Claude Code (or similar) to build products on your own Cannabis industry experience How we work We love building with AI. Trying new models the week they drop, building agents for fun, and forming strong opinions on what works. We invest in it with company-wide AI growth with classes and workshops, AI demo days, AI hackathons, and access to best-in-class models and tools. Taste in building. A lot of this role comes down to knowing what to build, what to cut, and what a great agentic experience feels like for the user. We stay close to the customer. You'll talk to customers and our GTM team directly, not through a chain of tickets. You'll build on what we've learned. You'll have access to the team's combined AI knowledge and the processes and skills we've built. For the full picture of our culture and who thrives here, see distru.com/careers . Benefits Our careers page is the best way to get to know us: the full benefits, our yearly offsites, who thrives here, and what the team says about working at Distru. Here are a few highlights (exact benefits vary by country and employment type): Fully remote across 4 continents Employee-friendly option terms: after 2 years, a 10-year window to exercise if you leave 18 days PTO + 11 holidays (sick days don't count toward PTO) Medical, dental, vision + 401(k) for US employees The best AI tools available and a generous AI stipend for everything else Yearly in-person team offsites Interview process Application questions: three short written questions in Lever on how you build with LLMs Recruiter screen (30 min): your background, the most complex AI product you've worked on, and your personal AI tool stack Technical interview (45–60 min): a deep dive into a complex product you've built, a live harness design discussion, and a screen-share walkthrough of your day-to-day setup Harness take-home (3–4 hours): spec a real feature on our agentic harness across product and UX, system design, and implementation details Take-home review (60 min): a technical deep dive into your submission with two engineers, including how your design holds up when a constraint changes References and offer Distru was formed by an environment of mutual respect and trust made up by people working together without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by law. We believe that diversity and inclusion among our team members is critical to our success and we proactively strive to recruit, develop and retain the best and brightest people from the most diverse candidate pools we can find all over the world. Where you land in the range depends on your experience and skills.

Location: Remote Workplace: Remote Kit https://kit.com/ is the email marketing platform experts choose to grow their audience, deepen their relationships, and build a business around the work they love. For coaches, YouTubers, authors, podcasters, and other creatives, there isn't a better marketing hub to rely on to grow audiences, automate email marketing, and sell digital products — all within one platform. More importantly, there isn't a team more committed to helping creators earn a living. We're on a mission to help creators earn $1 billion using our creator marketing platform. We have always been 100% independent and 100% remote. We are proud to have built a product that our customers love, and we look for people who have enthusiasm and belief in our mission, vision, and values to join our team. We're also embracing AI thoughtfully — both in how we build and how we hire to ensure our team is adaptable, innovative, and ready for what's next. THE ROLE Our Sales team needs a dedicated data partner, and creator commerce https://kit.com/features/commerce (how creators monetize by selling digital products) is becoming a bigger part of how Kit and our creators scale. Kit is growing, so we're looking for a Senior Analytics Engineer to own Kit's sales and commerce data from end to end. Accurate sales data gives our team a clear picture of the pipeline and the confidence to make informed decisions. That’s what makes this role so important. Your primary focus will be Sales: the dbt models that turn our CRM data into trusted pipeline, deal, and funnel metrics, and the Omni dashboards our sales leader and Senior Revenue Operations Manager use to run the business. You'll also model creator commerce data, so we understand what creators sell and earn through Kit, and you'll pick up reporting work with our Product team, such as feature usage reporting. On a small data team, we step outside our usual lanes when the need is there, so the mix will shift over time. You'll build for two kinds of consumers: people and AI. Teammates increasingly answer their own questions by querying our semantic layer through Omni's AI and MCP connections to AI tools. That means your models, metric definitions, and documentation need to be clear and correct enough for an AI agent to use them without a data teammate in the loop. This is a full-time individual contributor role for someone who likes being close to the business, enjoys turning messy operational data into numbers people trust, and is happy to work on both the models and the dashboards that sit on top of them. When Sales and Product have clear, reliable data, we help more creators build more valuable businesses with Kit.   YOUR SUPPORT SYSTEM You'll report to Sam Umachi, Head of Data (Linkedin https://www.linkedin.com/in/samuelumachi/). Sales and RevOps are your primary partners, who will rely on the models and reporting you own. You'll also partner with our Product team on reporting for features like Visual Automations https://kit.com/features/automations and on how creators use Kit. Within our data team, you'll work alongside a Staff Analytics Engineer who owns org-wide semantic layer governance and modeling standards, a Senior Data Engineer who owns ingestion and pipelines, and a Senior Business Analytics Partner focused on revenue opportunities. This role has no direct reports.   WHAT YOU'LL DO - First Week: Work through our onboarding curriculum in Notion and meet the data team, our Senior Revenue Operations Manager, the sales team, and your product partners. Get set up in our core tools: dbt Cloud, GitHub, Amazon Redshift, Omni, HubSpot, Linear, Hightouch and Slack. Set up your AI-assisted development environment and learn the shared AI workflows our data team uses. Open and merge your first small pull request so you learn our review and deployment flow early. - First Month: Map how HubSpot objects (deals, pipelines and stages, companies, contacts, and owners) flow into our dbt models, and document the gaps. Take over day-to-day ownership of the sales models and Omni dashboards that teammates have been covering. Audit current sales reporting and list where definitions differ or numbers don't reconcile. Get familiar with how commerce data (products creators sell and the revenue they earn through Kit) lands in the warehouse today. Agree with RevOps and Sales on the most important questions they need answered. Review teammates' pull requests and contribute to our shared SQL, dbt, and documentation standards. Share a written reflection with the team on what you've learned and where you'd focus first. - First Six Months: Ship and maintain well-tested, documented dbt models for core sales metrics, such as pipeline, deal velocity, stage conversion, win rates, and the sales-led funnel. Expose those metrics through the Omni semantic layer, working within the team's governance standards. Rebuild or refresh the core sales dashboards so pipeline reviews and forecasting conversations run on numbers that don't need manual reconciliation. Resolve competing sales metric definitions by writing down the options and tradeoffs, aligning with Sales and RevOps, and documenting the outcome. Model creator-level commerce data, such as products sold, revenue earned through Kit, and conversion, in partnership with data engineering. Write semantic layer descriptions, metric definitions, and documentation that let Omni's AI and MCP-connected AI tools answer routine sales questions correctly, and test them against real questions from Sales, RevOps and Product. Get Sales to the point where routine questions are answered through self-serve, whether in Omni dashboards, Omni's AI, or AI tools connected over MCP, rather than one-off requests. - First Year: Be the recognized owner of Kit's sales data, the person Sales and RevOps go to first and trust without second-guessing. Give our revenue analysis work the sales and commerce models it depends on, so deeper questions about pipeline health and creator earnings can be answered quickly, thereby enabling us to make creators more successful. Leave your domains well documented and well tested, legible to new teammates, stakeholders, and the AI agents that query our semantic layer. Help raise the team's modeling quality through code review, pairing, and sharing what you learn.     WHAT WILL S.E.T. YOU UP FOR SUCCESS   Skills - Deep dbt experience. You build modular, tested, documented dbt projects, and you're comfortable with incremental models, snapshots, macros, CI, and scheduled jobs in dbt Cloud or similar. - Advanced SQL. You reason carefully about grain, joins, and window functions, and you write queries that are readable and performant on a cloud warehouse. - Data modeling for sales and GTM. You can model deals, pipeline stages and their history, ownership changes, and funnel conversion into clean, reusable structures. You are opinionated on Kimball standards and when a concept should be a fact or dimension. - CRM data fluency. You know how sales data behaves in a CRM, including stage changes, backdated edits, and custom properties. HubSpot is preferred, but other CRM experience (e.g. Salesforce) applies just as well. We care most that you recognize common CRM patterns. - AI-assisted development. You use AI code editors and agents (such as Cursor, Claude Code, Codex, or similar) every day, and you validate their output with tests, query results, and review before anything ships. - Clear written communication. You explain metric definitions, tradeoffs, and data caveats in plain language that Sales, RevOps, and Product partners understand. - BI and semantic layer experience. You can build dashboards and semantic models in Omni, Looker, or a similar BI tool, and you design metric definitions that people and AI tools can both query correctly. - Git-based workflows. You keep pull requests small and well described, and you give thoughtful code review. - Nice to have: Redshift performance tuning (sort and distribution keys), Python for scripting or API pulls, reverse ETL, and experience with product event, billing, payments, or ecommerce data. Experiences - Around 7 or more years in analytics engineering or data engineering where you personally shipped production data models. - Several years of hands-on work building and maintaining production dbt projects. - Working directly with sales teams and RevOps, and owning reporting they relied on to run the business. - Owning a data domain over time and evolving its models as the business and its questions changed. - Working at a SaaS company, ideally one with both a self-serve and a sales-led motion. Commerce, payments, or creator economy experience is a plus, not a requirement. - Working on a small or remote team where you were trusted to make decisions independently. Traits - Ownership and follow-through. You treat your data domains as yours. You notice problems before stakeholders do, close the loop on requests, and finish what you start. - Judgment. You match rigor to the decision at hand, know when a quick answer is enough and when a request should become a durable model, and say so clearly. - Flexibility. You're glad to step outside your primary area when another team needs help, and you balance that work against your core commitments openly. - Teach everything you know. You document as you go, pair generously, and help stakeholders understand the data well enough to use it on their own. - Work in public. You share progress, open questions, and decisions in writing where the team can see them, including what didn't work. - Creator success is our success. You remember who's on the other end. A wrong number in a pipeline review means Sales spends time on the wrong creators, and that shapes how carefully you work. - Do it with excellence. You test your work, review it carefully, and don't ship a number you can't defend. - Candor with care. You're comfortable pushing back when a request won't answer the real question, and you do it in a way that builds trust.   WHAT WON'T SET YOU UP FOR SUCCESS - Needing detailed specs or a highly structured environment before you can start. - Discomfort with ambiguity. Some of our sales and commerce definitions are still evolving, and you'll help settle them. - Needing several layers of approval to make modeling decisions within your domain. - Wanting to work only on dashboards, or only on pipelines, rather than across the transformation and BI layers. - Wanting a strictly fixed scope. Sales comes first, but you'll pick up Product or other work when the business needs it. - Wanting mostly greenfield work. Much of this role is improving sales models and dashboards that already exist. - Preferring to take tickets as written rather than partnering with stakeholders on what they need. - Being skeptical of AI's capabilities, or using AI without good judgment and accountability. - Expecting a large data team with dedicated specialists for every part of the stack.   WORKING HOURS AND LOCATION We're 100% remote with team members across the globe. We work mostly on East Coast time - so if you're based on the West Coast of the United States, Europe, or Asia, you might have a few early mornings or late evenings. We do our best to keep things reasonable, but a little time zone juggling comes with the territory.   COMPENSATION + PERKS + BENEFITS Kit has standardized salaries based on position, no matter where you live. For this role, we're hiring at our level 4 ($172,000). Level is determined based on experience and our interview process.   PERKS + BENEFITS INCLUDE: - Profit Sharing https://www.linkedin.com/feed/update/urn:li:activity:7454911054947688448/ - Kit equity - 401k with a 5% match - We cover up to $2,280 per month toward medical premiums, with dental and vision premiums fully covered. We offer Health Insurance plans through Aetna - $2,000 equipment allowance for your first two years, $1,000 budget every following two years. Company-provided laptops are issued to every Kit team member and are not included in the equipment budget - Individual learning + development budget ($3,500/year) - Creator meetup budget ($50/month) to connect with creators over coffee, lunch, or other in-person meetups - Gender affirming benefits - Childcare benefit up to $3,000 annually through JOON - Twenty (20) days of paid time off during each year of employment - Paid paid vacation: An after-tax bonus of $1,000 for taking five consecutive days of vacation where you’re fully unplugged from work - Ten (10) paid holidays a year - Two weeks of paid sick time each year, including mental health + well being days - Twelve (12) weeks paid parental leave and flexible scheduling in your child’s first year - Up to six weeks of paid bereavement leave, medical leave, and disaster after six months of employment, two weeks of each paid leave in your first six months - Winter Break Closure: Kit closes for a week at the end of December, giving everyone a collective break to enjoy the holiday season. Essential support services remain available, with teams coordinating to ensure coverage during this period - Four-week, paid sabbatical after five years with the team - Fantastic in-person or virtual retreats with the team twice a year   HOW TO APPLY We usually receive a large number of applications, and our goal is to follow up with you within two weeks. You’ll hear from us either way. Here’s what you can expect from the rest of our hiring process: 1. A phone screen with our recruiter (30 min) 2. Hiring manager interview (45 min) 3. Take-home assignment 4. Technical interview (60 min)   We’ll keep you informed through every step. To get started, complete this application, including a cover letter and answers to the questions on the next page. We read every single application, and your cover letter and responses help put your experience into context. Kit is an equal opportunity employer We value diversity in all of its forms. Research tells us that applicants who are female or non-binary, as well as applicants who are people of color, are less likely to apply for roles they do not feel 100% qualified for. If you think you meet more than 50% of our requirements but fewer than 100% of them, please apply. We’re imperfect communicators, so think of our job postings as the starting point for discussion rather than proof that you shouldn’t apply. Kit does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Location: Remote Workplace: Remote Kit https://kit.com/ is the email marketing platform experts choose to grow their audience, deepen their relationships, and build a business around the work they love. For coaches, YouTubers, authors, podcasters, and other creatives, there isn't a better marketing hub to rely on to grow audiences, automate email marketing, and sell digital products — all within one platform. More importantly, there isn't a team more committed to helping creators earn a living. We're on a mission to help creators earn $1 billion using our creator marketing platform. We have always been 100% independent and 100% remote. We are proud to have built a product that our customers love, and we look for people who have enthusiasm and belief in our mission, vision, and values to join our team. We're also embracing AI thoughtfully — both in how we build and how we hire to ensure our team is adaptable, innovative, and ready for what's next. THE ROLE Most Kit creators don't have a dedicated Creator Growth Manager, and when their emails start landing in spam, they need someone who can find the cause quickly and explain it in plain language. We're looking for a Deliverability and Compliance Specialist to own deliverability support for that long tail of creators, run Kit's abuse desk, and make the compliance calls that protect the sending reputation every creator on Kit shares. You'll also build the playbooks, training, and AI-assisted workflows that help Support and contractors handle more deliverability questions on their own, and you'll partner with our infrastructure engineers as we run more of our sending in-house. A creator can't build a lasting business if their emails don't arrive, so this work connects directly to our mission. This is a full-time individual contributor role for someone who likes digging through headers and bounce logs to find the real cause of a problem, can explain DMARC alignment to a first-time creator without jargon, and is comfortable making a firm call when a situation is gray. You don't wait for someone to tell you what needs fixing. You proactively spot opportunities, identify patterns, and take the initiative to improve deliverability before problems arise.   YOUR SUPPORT SYSTEM You'll report to Alyssa Dulin https://www.linkedin.com/in/alyssadulin/, Director of Creator Success, and collaborate closely with: - Our Deliverability team: a Deliverability Lead who supports our highest-value accounts and leads deliverability education, and a Deliverability Specialist who onboards and ramps up large senders moving to Kit - Our infrastructure engineers, who run Kit's sending infrastructure - Our compliance and anti-abuse engineers, who build the automated checks that keep spammers off Kit - Product Specialists and the Support team, who handle the front line and escalate deliverability issues to you - Customer Success Managers (we call them Creator Growth Managers at Kit), Sales and Migrations, and Product Managers   WHAT YOU'LL DO - First Week: Get set up in Kit, our admin tools, and our support and ticketing systems, and meet our distributed team in Get To Know You chats (GTKYs). Meet the deliverability team and get an introduction on the current projects. Read our deliverability playbooks and SOPs, and get access to the monitoring tools you'll use every day: Google Postmaster Tools, Microsoft SNDS, blocklist monitoring, and our internal delivery dashboards. - First Month: Shadow the Deliverability team and Product Specialists on deliverability tickets, account approvals, and abuse reports, then start answering queue tickets with review. Join the daily monitoring rotation (blocklist delisting, Postmaster and delivery monitoring) and the weekly Deliverability team meeting. Learn how account approvals, compliance flags, and our in-house sending platform work. By the end of the month, work deliverability tickets and abuse reports on your own and send your first delisting requests. Project: build a recurring report showing the trending deliverability ticket reasons so we understand what’s causing how to reduce friction for customers and how to solve it - First Six Months: Own the deliverability support queue for creators without a dedicated CGM: spam-folder placement, bounces, authentication and DMARC setup, and escalations from Product Specialists. Own compliance end to end, from new-account approvals and compliance flags to pausing or closing accounts that put our shared reputation at risk.Run Kit's abuse desk. You'll write and share a strategy that covers coverage, response-time targets, escalation paths, and quality checks, then put it in place so routine spam, phishing, and blocklist reports follow clear SOPs while you take the hardest cases yourself. Be the go-to contact for day-to-day mailbox provider issues with Microsoft, Gmail, Yahoo, Comcast, and regional providers, and write an incident runbook for blocklistings and provider throttling. Track the queue with a simple scorecard (volume, first response time, and escalation rate) and share what you learn with the team. Run training sessions for Support and ship your first process or AI improvements, like cleaner ticket categorization or better account data for our AI support agent, so more deliverability tickets get solved without escalation.. - First Year: Deliverability support is faster and more consistent for every creator on Kit, including the ones who never talk to a CGM. Your playbooks, help center articles, and AI-assisted workflows are what Support, CGMs, and contractors reach for first, and fewer tickets need to come to you. You've led at least one cross-team fix with infrastructure for a recurring problem you spotted in the queue, such as an alert when a creator's domain authentication breaks or a check for sudden signup spikes. You're helping shape the internal tooling and alerting our in-house sending needs, and you take part in industry groups like M3AAWG.     WHAT WILL S.E.T. YOU UP FOR SUCCESS   Skills Must haves - Deep working knowledge of email authentication (SPF, DKIM, DMARC, alignment, and BIMI basics), plus the ability to read raw message headers and SMTP bounce and deferral codes - Hands-on use of Google Postmaster Tools and Microsoft SNDS/JMRP, and comfort working with major blocklists (Spamhaus, Abusix, Barracuda, Spamcop, and others) and their delisting processes - A clear understanding of Gmail and Yahoo bulk sender requirements, including authentication, one-click unsubscribe (RFC 8058), and spam-rate thresholds - Data fluency: you can pull bounce, complaint, and engagement data together, find the root cause, and explain it so others can act on it - Hands-on abuse handling: you can work an abuse report or escalation start to finish, from finding the account and assessing the evidence to acting, replying to the reporter, and documenting the decision - Process building: you can turn repeat work into SOPs, playbooks, and quality checks that a contractor or teammate can follow - Clear, calm written communication with creators, teammates, and postmasters - Using AI tools to research, summarize, and draft, and helping teammates do the same, with the judgment to keep a person on final compliance calls Nice-to-haves: - Experience with MTA logs or delivery observability tools (KumoMTA, PowerMTA, Postfix, Kibana/Elasticsearch, or SQL and BI tools like Mode) - Familiarity with feedback loops, spam traps, list bombing, and bot-signup patterns - Familiarity with CAN-SPAM, CASL, and GDPR as they apply to marketing email - Experience with Intercom, HubSpot, or a similar ticketing tool - Experience building or tuning AI support workflows or macros Experiences Must-haves: - 4+ years in email deliverability, compliance, trust and safety, or technical support at an ESP, mailbox provider, or high-volume sender - Handling escalated customer tickets end to end, including with customers who are frustrated - Making account-level compliance or abuse decisions, such as approving, suspending, or closing accounts - Working an abuse desk or abuse mailbox directly: spam and phishing complaints, provider and blocklist reports, and escalations - Leading the fix for a recurring deliverability or compliance problem that needed help from more than one team Nice-to-haves: - Supporting senders on shared IP pools at an ESP - Setting abuse or trust and safety strategy, or directing contractors or vendors on a support or abuse queue - Working directly with mailbox provider postmaster teams - Participating in M3AAWG or other industry groups - Creating educational content, like help docs, training, workshops, or podcasts - Working with creators, digital entrepreneurs, or small businesses Traits - You pick up problems that fall between teams without waiting for permission, and you follow them through until they're closed. - You test a hypothesis against the evidence before you act, and you frame problems clearly enough that others trust your analysis. - You protect the reputation every creator shares while staying fair and kind to the creator in front of you, and you help them understand the reasoning behind a decision. - You turn what you learn into docs, templates, and training that others use, and you adjust how you teach to fit the audience. - You hold a high bar for your work, and you push back respectfully, with data, when something puts our reputation at risk, even when Sales or leadership would prefer a different answer. - You share in-progress work and risks early so the team can solve problems together.   WHAT WON'T SET YOU UP FOR SUCCESS - Treating deliverability as a set of macros rather than an investigation that needs judgment - Discomfort saying no to a creator or a teammate when our shared reputation is at stake - Waiting for someone to assign you work when you can already see the problem - Needing a fixed playbook, since our sending stack and processes are changing as we bring more sending in-house - Keeping knowledge in your head instead of writing it down for the next person - Preferring to work without AI tools   WORKING HOURS AND LOCATION We're 100% remote with team members across the globe. We work mostly on East Coast time - so if you're based on the West Coast of the United States, Europe, or Asia, you might have a few early mornings or late evenings. We do our best to keep things reasonable, but a little time zone juggling comes with the territory. For this role, we're looking for someone based in North America, with working hours that give us solid US time zone coverage of the deliverability queue.   COMPENSATION + PERKS + BENEFITS Kit has standardized salaries based on position, no matter where you live. For this role, we're hiring at our level 3 ($118,000 USD). Level is determined based on experience and our interview process.   PERKS + BENEFITS INCLUDE: - Profit Sharing https://www.linkedin.com/feed/update/urn:li:activity:7454911054947688448/ - Kit equity - 401k with a 5% match - We cover up to $2,280 per month toward medical premiums, with dental and vision premiums fully covered. We offer Health Insurance plans through Aetna - $2,000 equipment allowance for your first two years, $1,000 budget every following two years. Company-provided laptops are issued to every Kit team member and are not included in the equipment budget - Individual learning + development budget ($3,500/year) - Creator meetup budget ($50/month) to connect with creators over coffee, lunch, or other in-person meetups - Gender affirming benefits - Childcare benefit up to $3,000 annually through JOON - Twenty (20) days of paid time off during each year of employment - Paid paid vacation: An after-tax bonus of $1,000 for taking five consecutive days of vacation where you’re fully unplugged from work - Ten (10) paid holidays a year - Two weeks of paid sick time each year, including mental health + well being days - Twelve (12) weeks paid parental leave and flexible scheduling in your child’s first year - Up to six weeks of paid bereavement leave, medical leave, and disaster after six months of employment, two weeks of each paid leave in your first six months - Winter Break Closure: Kit closes for a week at the end of December, giving everyone a collective break to enjoy the holiday season. Essential support services remain available, with teams coordinating to ensure coverage during this period - Four-week, paid sabbatical after five years with the team - Fantastic in-person or virtual retreats with the team twice a year   HOW TO APPLY We usually receive a large number of applications, and our goal is to follow up with you within two weeks. You’ll hear from us either way. Here’s what you can expect from the rest of our hiring process: 1. A phone screen with our recruiter (30 min) 2. Hiring manager interview (45 min) 3. Take-home assignment 4. Panel interview (60 min)   We’ll keep you informed through every step. To get started, complete this application, including a cover letter and answers to the questions on the next page. We read every single application, and your cover letter and responses help put your experience into context. Kit is an equal opportunity employer We value diversity in all of its forms. Research tells us that applicants who are female or non-binary, as well as applicants who are people of color, are less likely to apply for roles they do not feel 100% qualified for. If you think you meet more than 50% of our requirements but fewer than 100% of them, please apply. We’re imperfect communicators, so think of our job postings as the starting point for discussion rather than proof that you shouldn’t apply. Kit does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Location: Toronto Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role? This role is the critical bridge that amplifies Cohere’s ability to execute from its deployed engineering teams into the partner ecosystem at scale. You will be the single point of influence who takes the high quality of our engineering delivery and extends it outward, ensuring that system integrator partners can deliver Cohere solutions with the same rigor, reliability, and innovation as our internal teams. As an Adoption Specialist, you will design, build, maintain, and deliver certification programs that validate partner expertise across infrastructure and agentic domains. You will report functionally into Customer Education & Transformation, with a dotted line into the Forward Deployed Engineering teams (Infrastructure and agentic), ensuring that every certification, every training program, and every competency standard reflects the latest innovation and the highest standards of delivery. We are seeking a unique individual: someone who is customer obsessed, has a background in infrastructure engineering with the technical grit and expertise to be a de facto member of the deployed engineering teams, while also bringing commercial acumen to scale these capabilities across the partner ecosystem. You will be the conduit between our internal engineering excellence and the broader market, and you will be the face of this program in front of partner networks and communities. In this role, you will: - Design, build, and maintain certification programs for system integrator partners across both infrastructure and agentic tracks, ensuring they reflect current technical realities and future innovation. This includes train-the-trainer programs with key system integrators that can certify on our behalf. - Develop deep subject matter expertise in end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. As well as assess infrastructure, security requirements, and data management practices. - Develop deep subject matter expertise in applied AI across the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows - Collaborate with Forward Deployed Engineering teams on a dotted line basis to ensure certification content stays current with product innovation and hands-on development. - Collaborate with Product to ensure requirements are adapted into the core product. - Create dynamic training programs and enablement assets that drive self-service enablement and partner competency, building educational content specifically for developers. - Deliver the certification and education program publicly, serving as the face of this initiative to partner networks, partner communities, and customer communities, with the exposure and visibility that comes with representing Cohere’s technical excellence externally. You may be a good fit if your experience covers the following areas: - Execution flexibility in fast-paced environments, with the ability to work across infrastructure, and agentic areas. - Infrastructure and cloud expertise including enterprise software deployment in private/hybrid cloud environments, production Kubernetes administration, Helm, DevOps practices, CI/CD pipelines, and version control. - Agentic and LLM stack expertise encompassing production-grade Python software development, RAG and agentic applications using patterns like ReAct or Plan-and-Execute, and robust evaluation framework design. - Developer relations and community engagement, including public speaking, presenting, with a natural comfort with visibility and being the face of technical initiatives. - Experience building enablement or education content specifically for developers. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Remote About us OpenZeppelin is the security standard onchain finance is built on. Founded in 2015, our mission is to accelerate the world's transition to an open financial system, built on open standards and secured by rigorous research. Our open-source Contract Libraries have facilitated over $35 trillion in onchain value and are used by 10 of the top 10 tokenized money market funds and 9 of the top 10 stablecoins by market cap. We combine AI-native security tooling with deep research and a decade of audit expertise to support leading institutions and crypto-native teams shaping the next generation of digital assets like DTCC, Fidelity, Coinbase, Uniswap, Aave, the Ethereum Foundation, and many more across the full secure development lifecycle. Please note: Always refer to OpenZeppelin's official job page for the most accurate information about our open roles, as we have seen multiple third party job sites posting inaccurate information. The IT & Security Team OpenZeppelin is a leader in blockchain security, providing cutting-edge security audits and services to top Web3 organizations. Our Security and IT team plays a critical role in safeguarding our infrastructure, ensuring compliance, and enabling our distributed team with secure and efficient IT solutions. What you'll be doing Security & Compliance Support: Assist in managing security tools, including endpoint security (e.g., MDM solutions like Jamf or Intune). Support implementation of security policies and procedures. Help with internal security audits and compliance documentation. Monitor system access and assist in enforcing security controls. Participate in incident response activities and learn best practices for handling security incidents. IT Operations & Support: Help with onboarding and offboarding processes, including provisioning accounts and setting up workstations. Provide technical support for remote employees, troubleshooting basic IT and security issues. Maintain IT assets and document configurations. Assist with integrations, automations, and basic scripting tasks where applicable. Growth & Learning Opportunities: Work closely with senior engineers to gain hands-on experience in IT security and compliance. Receive mentorship and training in security best practices, cloud security, and compliance frameworks. Contribute to internal security awareness initiatives. You have 1-3 years of experience in IT or security-related roles (help desk, IT support, sysadmin, security analyst, etc.). Basic knowledge of cloud platforms (AWS, Google Workspace) and security tools. Basic knowledge on security and configuration controls of AI tools ( claude/claude code, chatgpt/codex etc..) Some experience with IT administration, endpoint security, or identity/access management. Understanding of security best practices and a willingness to learn more about SOC 2, ISO 27001, and compliance frameworks. Good problem-solving skills and the ability to work in a remote-first team. Strong written and verbal communication skills. Nice to have Hands-on experience with MDM solutions (e.g., Jamf, Intune or others). Understanding of networking fundamentals (firewalls, VPNs, DNS). Certifications such as CompTIA Security+, Google IT Support, or AWS Cloud Practitioner. Exposure to security tools such as SIEM, EDR, or vulnerability scanners. Passion for cybersecurity and an eagerness to grow into a more senior role. Logistics: Our interview process takes place on Google Meet and tends to consist of the following stages: Recruiter Interview (30 minutes) Hiring Manager Interview (60 minutes) Team Interview (30 minutes) Leadership Interview (30 minutes) Paid work trial (up to 20 hours of paid work) Reference checks Benefits Meet your teammates at company gatherings around the world 😎 Enjoy the flexibility of fully remote work 🌎 Take the time you need with flexible time off 🏝 Grow your family with 8 weeks of paid leave for primary caregivers, 4 weeks for secondary caregivers, and a one-time $3,600 baby bonus 💙 Build your ideal home office with up to $500 in equipment support 🪑 Stay covered with medical insurance 🏥 Keep growing with learning and development opportunities 🧠 Get a monthly stipend for your preferred co-working space 💻 At OpenZeppelin , we are an equal opportunity employer and we value different perspectives. We are committed to building a diverse workforce. This includes but is not limited to gender, race, sexual orientation, religion, national origin and other characteristics that make each one of us unique. In this uniqueness, we find the most value. Come join us! Use of AI as part of the recruiting process As part of OpenZeppelin’s recruitment process, we may use automated tools, including artificial intelligence, to assist in reviewing applications and assessing candidate qualifications. These tools are used to support our People team by identifying relevant skills and experience, and are not used to make decisions solely by automated means. All hiring decisions involve human review. Any personal data provided as part of your application will be processed in accordance with OpenZeppelin’s Data Privacy Notice . If you have questions about this recruitment process or would like to request human review of your application, please contact us at talent@openzeppelin.com.