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Location: South Africa; Philippines; Indonesia; Venezuela, Bolivarian Republic of; Brazil About Paired Paired is a global staffing and recruiting agency that specializes in pairing remote work with top-tier talent! We are dedicated to connecting talented individuals with remarkable companies in need of their skills. Our goal is to create fulfilling job opportunities for professionals around the world. The client Advertising and consultancy services company working with RevOps infrastructure for B2B teams. They build the systems that make growth work. The founder has reached the point most agency founders reach eventually. Their days are full of client emails, chasing the team, managing delivery risk and keeping projects from slipping. None of it is optional and all of it is in their head. The problem is not only the hours it eats. It is that managing risk and creating growth are opposite modes of thinking, and they cannot do both well in the same week. They're hiring the person who takes operations off them. Why this role is part-time, and what it becomes Right now there genuinely is not forty hours a week of work here. We are coming out of a contraction and back into expansion, and they would rather hire someone part-time and pay them properly than hire full-time and have them sitting idle, which is unfair to both of us. The plan is that this grows. Part-time now, full-time as the client base expands, then Head of Operations. They're not dangling that vaguely: they'll will set out the milestones, what hitting them does to your compensation, and roughly when they expect each step. You should hold them to it. What they're asking for in return is commitment. If you take this and a full-time offer appears a month later and you disappear, it damages us. If you are doing one other part-time role alongside this, that is fine and I understand it. What I do not want is someone juggling five clients who gives this one the leftovers. I have seen fractional done badly and I would rather pay for focus. What you will own Client and stakeholder management Be the operational point of contact for our clients, so that I am not Keep every client informed, handle the back and forth, and escalate to me only what genuinely needs me We currently run around four clients at once, a mix of large and small projects. Six is the most we have ever carried. As we scale, the model is roughly one project manager per five clients Project delivery Own timelines, scope and deliverables across those accounts Know the status of everything without being asked, and chase it when it slips Spot delivery risk early and bring me a proposed fix rather than a problem Team coordination Keep the team pointed at the right work and hold them to what they committed to Run the follow-up so that nothing dies in a thread Revenue operations Keep our pipeline, CRM and reporting accurate and current Build and tidy the systems and automations that hold delivery together Turn what is currently in my head into documented, repeatable process Requirements Who this is for You have done revenue operations or operational project management in an agency or client services environment, and have carried multiple accounts at once You are comfortable being the operational face to clients. This is a stakeholder-facing role, not a back-office one Excellent written English. We work with international clients and are moving into the US market You are organised to the point of being slightly annoying about it, and you follow through without being chased You can work independently. There is no operations team to lean on. For a while, you are it You want this to grow into something bigger, and you are willing to commit while it does Who this is not for You are a fractional operator running five clients and this would be number six You want a purely strategic seat. For now this is hands-on: emails, trackers, chasing, process writing You need a manager checking your work You are looking for full-time immediately and would leave the moment one appeared Benefits Part-time, remote, on a contractor basis. We will agree the weekly hours and the working pattern together, but you will need reliable overlap with Barcelona for client calls and with the team. If you are in Latin America, your mornings cover our afternoons, which works well, and it positions us for the US clients we are moving towards. Growth path for full-time and Head of Operations role Compensation for part-time up to USD1.5k/month What success looks like The founder stops being the person clients email first Projects land on their dates, and when they will not, they hear it early with a plan attached Our operations run on documented process rather than on my memory The founder spends his weeks on expansion instead of firefighting

Location: Madrid, Spain At Allucent™, we are dedicated to helping small-medium biopharmaceutical companies efficiently navigate the complex world of clinical trials to bring life-changing therapies to patients in need across the globe. We are looking for a Start-Up Associate II (SUA II) to join our A-team (hybrid*) in Madrid, Spain! The SUA coordinates and performs local site start-up activities of Allucent Study Start-up & Site Intelligence. This position executes essential document collection, Regulatory Authority (RA) and Independent Ethics Committee (IEC)/Institutional Review Board (IRB) submission/approval activities and acts as a main line of communication to RA/ IEC/ IRB as well as investigators and sites through the initial phase of a clinical study until the Site Initiation Visit. In this role your key tasks will include: Track relevant information, data, progress and milestones in CTMS and/or other tracking tools covering assigned Start-Up activities (as defined below) Ensure planned dates are reliable and up to date in CTMS departments/study teams File documents in the (e)TMF for which they are the document owner Assist other Study Start-up team members with filing documents in the (e)TMF for which they are document owner Assist in the preparation, compilation, submission and maintenance of regulatory documentation required by regulatory agencies for clinical trials at local level Provide relevant documents in compliance with local regulation Support review of technical, pre-clinical and clinical reports for regulatory submissions Interact with regulatory authorities Prepare and compile answers for questions raised by the regulatory agencies and submit the answers Regularly check for updates on regulations, guidelines and procedures. Ensure these updates are communicated and circulated as appropriate Support Global Regulatory Manager (GRM) and/or Global Submission Specialist (GSS) as needed Prepare, compile, submit and maintain ethical requirements and documentation required by IEC/IRB for clinical trials at local level Assist in providing and reviewing relevant documents in compliance with ethical requirements and per local legislation Interact with IEC/IRB Prepare and compile answers for questions raised by the IEC/IRB and submit the answers Regularly check for updates on regulations, guidelines, and procedures. Ensure these changes and updates are communicated and circulated as appropriate Assist in adapting country SIS/ISF to site-specific requirements Provide country specific requirements to GSCM impacting site contracts’ process Prepare, review, negotiate, and finalize Clinical Trial Agreements (CTAs), Letter of Indemnification (LOI), termination letters, budgets, and other site level agreements required for a clinical study Negotiate within client approved contract and budget templates and negotiation parameters Communicate with sites and internal personnel regarding the status of contracts and contract related documents Arrange translation of the final country CTA template and/or final negotiated contracts, where applicable Provide the final/draft CTA and site budget for submission, where required Obtain site signature as well as Sponsor/Allucent signature, as applicable Keep up to date with applicable local regulations impacting clinical trial contracts Assist in preparing the site-specific Essential Document Package and sending to sites Responsible for collection and first review of Essential Documents Provide the Global Essential Document Reviewer with the collected documents for independent review Follow up with the sites regarding all document discrepancies noted by the Global Essential Document Reviewer until resolution Obtain authorization for the shipment of Investigational Product to the site Track relevant information and data in CTMS and/or other tracking tools Requirements To be successful you will possess: Life Science degree or equivalent qualification or certification in a related allied health profession from an appropriate accredited institution. More than 2 years of experience in regulatory affairs in the pharmaceutical or biotechnology industry. A thorough knowledge of the country or region competent authority submission and reporting requirements and guidelines. A thorough understanding of the drug development process Good oral and written communications skills - fluent in Spanish and English. Attention to detail. Able to perform well as a team member. Benefits Benefits of working at Allucent include: Comprehensive benefits package per location Competitive salaries per location Departmental Study/Training Budget for furthering professional development Flexible Working hours (within reason) Participation in our enriching Buddy Program as a new or existing employee Internal growth opportunities and career progression Financially rewarding internal employee referral program Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees Disclaimers: *Our in-office work policy encourages a dynamic work environment, prescribing 2 days in office per week for employees within reasonable distance from one of our global offices . “The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively “Allucent”). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.” #LI-BL1

Location: Aberdeen, United Kingdom We Are? We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we've been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle - offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves - all designed to help our clients optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. The Role and Responsibilities: A new exciting role has arisen for a Facilities Coordinator to join us here at EnerMech in Aberdeen. This is a full time role offering 37.5 hours a week and will report to our Facilities Lead. The role will involve the following; Responsible for administration tasks for our Aberdeen facility, which includes a 16 acre site Responsible for obtaining quotes Responsible for raising Purchase Quotes/Purchase Orders for facilities Responsible for maintaining the facilities maintenance schedule highlighting any upcoming maintenance requirements Responsible for ensuring subcontractor training & insurance certificates are up to date Maintain Facilities Maintenance Helpdesk, assigning and closing tickets highlight due dates Support reception with administration requirements and holiday cover The Requirements To be successful in the role you with have previous experience in an administration role and have a good working knowledge of Microsoft Packages. You will be able to work to your own initiative and organise your own workload in a timely manner. Diversity & Inclusion EnerMech is dedicated to fostering a diverse and inclusive organisation. We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities.

Location: São Paulo, Brazil; Buenos Aires, Argentina; Bogotá, Colombia New opportunities in Latin America! 🟢 Dev.Pro is a US-based software development company helping tech companies build their products and grow their business. We’re remote-first, and we work with independent contractors in over 55 countries, so you’d be collaborating in a multicultural environment on some really interesting projects. We invite a Solutions Architect to join our team and work on an orchestration platform for a leading global fintech company. The platform enables business partners to integrate once and offer a growing range of embedded financial products to their clients. In this role, you’ll own the end-to-end architecture across AWS infrastructure, .NET services, data flows, and partner integrations, collaborating closely with engineering teams and stakeholders to deliver secure, scalable, and reliable solutions. 🟩 What's in it for you: Own the end-to-end architecture of a growing embedded finance platform Shape reusable architecture patterns that support new products and provider integrations Drive key architectural decisions across teams, working closely with engineering and technical leadership ✅ Is that you? 10+ years in software engineering, including 5+ years as a Solutions Architect Strong hands-on experience with C#, ASP.NET, and .NET Core Strong hands-on AWS architecture experience delivering secure, production-grade distributed systems Solid experience with microservices, REST APIs, asynchronous/ event-driven patterns, and enterprise integrations Working knowledge of React-based architecture, micro-frontends or embeddable components, and browser security Experience with PostgreSQL and NoSQL databases (MongoDB), including data modeling, performance, and migrations Hands-on experience with Docker, Kubernetes/EKS, IaC, CI/CD, and automated release controls Ability to define non-functional requirements for availability, scalability, performance, recoverability, security, privacy, and supportability Strong communication skills and ability to explain technical decisions and influence cross-functional teams and external partners Valid U.S. visa and ability to travel to the U.S. for onboarding and knowledge transfer Desirable: AWS Certified Solutions Architect (Associate or Professional) Background in payments, financial services, embedded finance, lending, BaaS, or regulated platforms Experience with Akamai, AWS KMS/ACM, Argo CD, Snowflake, SFTP/file integrations, and enterprise identity/SSO Experience with pluggable provider architectures, white-label portals, embeddable widgets, or multi-tenant platforms Familiarity with architecture governance, threat modeling, PCI-related controls, privacy requirements, and audit evidence 🧩Key responsibilities and your contribution In this role, you’ll provide architectural leadership throughout the development lifecycle, ensuring technical solutions meet business needs and quality standards. Own solution architecture from discovery through production, including technical designs, transition plans, and engineering guidance Design architectures across React portals, embeddable widgets, .NET microservices, APIs, Python data pipelines, and databases Design AWS solutions using EKS, Lambda, ECS, S3, and Step Functions Maintain architecture decision records, context and sequence diagrams, API and event contracts, non-functional requirements, and deployment views Guide secure integrations with embedded finance providers, partners, identity services, enterprise APIs, file-based exchanges, webhooks, and downstream billing or settlement capabilities Define patterns for service boundaries, API-first design, event-driven processing, idempotency, resiliency, error handling, auditability, and modular provider onboarding Identify technical risks and cross-team dependencies, and develop mitigation plans Partner with platform engineering teams on Terraform/Pulumi, Kubernetes, CI/CD, environment strategy, secrets management, and release controls Drive secure design using IAM, encryption, key/secret and TLS/certificate management, network segmentation, least privilege, and secure development practices Define observability standards; lead performance, resilience, and production readiness reviews Coach engineers, resolve cross-team decisions, and communicate technical trade-offs to stakeholders Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Interview — ✅ Signing the Contract Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: São Paulo, Brazil; Buenos Aires, Argentina; Bogotá, Colombia New opportunities in Latin America! 🟢 Dev.Pro is a US-based software development company helping tech companies build their products and grow their business. We’re remote-first, and we work with independent contractors in over 55 countries, so you’d be collaborating in a multicultural environment on some really interesting projects. We invite a Senior Java Software Engineer with strong Oracle expertise to join a large-scale platform modernization initiative. You’ll work on a project that involves consolidating multiple platforms around Oracle, designing the database schema for a new application, and supporting a future MySQL-to-Oracle migration. In this role, you'll combine hands-on Java development with advanced database engineering and collaborate with cross-functional teams to deliver reliable solutions. 🟩 What's in it for you: Contribute to a large-scale platform modernization initiative that includes a future MySQL-to-Oracle migration Solve complex technical problems across application and database layers, combining hands-on Java backend development with advanced Oracle database engineering Collaborate with cross-functional teams to improve the performance and reliability of a business-critical platform serving 100k users ✅ Is that you? 5+ years of experience building, debugging, and optimizing scalable Java backend applications Strong proficiency in Java 8–17, object-oriented design, design patterns, multithreading, and concurrency Hands-on Oracle development experience in production, with strong knowledge of database internals (indexing, query optimization, partitioning, replication, and transaction behavior) Advanced SQL skills, including performance troubleshooting Experience with production database operations (backup/restore, high availability, disaster recovery, failover), including executing changes with minimal downtime Experience writing unit tests with JUnit and Mockito Experience with cloud platforms (preferably GCP) and Kubernetes or similar orchestration tools Hands-on Linux/Unix experience and scripting skills in Bash, Python, or similar languages Ability to work independently, take ownership of technical tasks, and proactively identify and resolve blockers Strong communication skills and experience collaborating with cross-functional Scrum teams and leading technical discussions Upper-Intermediate+ English level Desirable: Hands-on Oracle DBA experience in production Experience with major Oracle version upgrades or large-scale database migrations Oracle certification Experience with Groovy and Gradle Experience with CI/CD pipelines 🧩Key responsibilities and your contribution In this role, you'll combine Java backend development with Oracle database engineering, troubleshooting production issues, improving performance, and supporting migration activities. Design, develop, and maintain scalable Java backend applications Design the Oracle database storage schema for a new application Support the planning and execution of a future MySQL-to-Oracle migration Develop and optimize SQL queries to improve database performance Troubleshoot complex application and database issues in production environments Support production database operations and implement changes with minimal downtime Write and maintain unit tests using JUnit and Mockito Collaborate with cross-functional teams on technical design and implementation decisions Create and maintain technical documentation for relevant project activities Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Interview — ✅ Signing the Contract Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: Dubai, United Arab Emirates Role Overview A key position providing comprehensive support to the CEO across executive priorities and selected personal matters. The role requires a proactive, organised and digitally confident professional who can operate effectively in a fast-paced environment while leveraging Artificial Intelligence (AI), automation and AI-powered agents to enhance productivity, streamline workflows and improve efficiency. Beyond traditional executive assistance, the successful candidate will be expected to identify opportunities for AI implementation, build and configure AI agents , and automate repetitive tasks and multi-step workflows. Core Responsibilities Executive Support Manage the CEO’s complex calendar, meetings, priorities and schedule. Coordinate with internal and external stakeholders and ensure timely follow-up on actions and commitments. Anticipate upcoming requirements, identify conflicts and proactively resolve scheduling and coordination issues. Prepare meeting materials, briefings, correspondence and executive communications as required. Track key actions, deadlines and decisions, ensuring matters are followed through to completion. Coordinate business travel, itineraries and associated logistics. Exercise sound judgement in determining what requires the CEO’s attention and what can be resolved independently. Handle sensitive and confidential information with a high degree of discretion and accuracy. AI, Automation & AI Agent Development Build, configure and implement AI agents to support executive operations, research, scheduling, task management and administrative workflows. Develop AI-powered solutions that automate repetitive tasks, streamline processes and reduce manual intervention. Integrate AI tools with relevant business applications to improve information management, communication and workflow efficiency. Implement AI-assisted solutions for meeting preparation, minutes, action tracking, document creation, research and reporting. Identify opportunities to apply AI to everyday business challenges and translate them into practical, measurable improvements. Test, refine and maintain AI agents and automated workflows to ensure reliability, accuracy and effectiveness. Stay updated on emerging AI technologies, agent-building platforms and automation tools. Apply appropriate data privacy, security and human oversight when using AI, particularly when handling confidential information. Personal Support Provide discreet and efficient support with selected personal matters, appointments, travel and day-to-day logistics. Coordinate personal schedules, bookings, arrangements and other practical requirements. Anticipate needs and resolve routine matters independently where appropriate. Learn and consistently apply the CEO’s preferences and ways of working. Use appropriate digital tools and automation to simplify scheduling and personal administration. Maintain professional boundaries and strict confidentiality at all times. Requirements 7+ years of proven experience in an Executive Assistant, Executive Coordinator or similar role, including direct support to a CEO or other C-level executive. Hands-on experience building or configuring AI agents , beyond basic use of ChatGPT or other AI assistants. Practical understanding of AI tools, large language models (LLMs), workflow automation and application integrations. Ability to design automated workflows and connect applications using integrations, APIs, or no-code/low-code platforms. Experience coordinating with senior internal and external stakeholders such as board members, investors, owners, or high-profile clients. Mid-level English proficiency. Experience with platforms such as n8n, Make, Zapier or comparable AI and automation tools is an advantage. Prior real estate or property management experience is an advantage.

Location: Dhahran, Saudi Arabia We are seeking an experienced Instrumentation Engineer to join our Mechanical Services Shops team, responsible for rotating and static equipment repair and component fabrication. The successful candidate will ensure the accuracy, reliability, availability, and lifecycle integrity of instrumentation across industrial machinery and facility systems. The role involves instrument engineering, calibration, troubleshooting, preventive maintenance, commissioning, and continuous improvement of instrumentation and control systems. Key Responsibilities Instrumentation Engineering: Specify, evaluate, and maintain pressure, temperature, flow, level, vibration, speed, position, force, torque, gas, and analytical instruments. Calibration and Metrology: Develop calibration plans, establish tolerances and intervals, maintain traceability, document calibration results, and assess out-of-tolerance conditions. Troubleshooting and Maintenance: Diagnose faults involving sensors, transmitters, wiring, grounding, signal conditioning, I/O systems, instrument loops, networks, alarms, and protection systems. Controls and Commissioning: Prepare instrument datasheets, loop diagrams, hook-ups, cause-and-effect documentation, calibration procedures, FAT/SAT plans, loop checks, and commissioning records. Asset and Change Management: Maintain instrument registers, critical spares, configuration backups, calibration history, obsolescence plans, bypass controls, Management of Change (MOC) records, and contractor quality documentation. Reliability Improvement: Develop preventive-maintenance strategies, investigate recurring failures, implement corrective actions, and ensure compliance with applicable engineering and safety standards. Minimum Requirements Bachelor's degree in Instrumentation, Control Systems, Electrical, Electronics, Automation, or Mechatronics Engineering from a recognized and approved program. Minimum 12 years of industrial instrumentation experience, including at least 7 years maintaining and commissioning instrumentation for manufacturing equipment and facility systems. Strong knowledge of industrial sensors, transmitters, analyzers, vibration and speed probes, control valves, data acquisition, signal standards, grounding, and calibration. Hands-on experience with PLC/DCS I/O, HART or fieldbus devices, loop checking, alarm and trip systems, instrument networks, and OEM machine interfaces. Proven ability to develop calibration and preventive-maintenance plans, troubleshoot recurring failures, and manage instrument configurations. Preferred Qualifications ISA CCST or CAP certification. Vendor-specific DCS/PLC training. Vibration instrumentation training. ISO/IEC 17025 metrology training.

Location: New York, United States; Miami, United States; Dallas, United States; Charleston, United States; Charlotte, United States Crystalia Glass is seeking an experienced, analytical, and execution-focused Head of Sales (B2C) to spearhead sustainable revenue and conversion growth across our nationwide retail operations. We are looking for a growth-oriented builder rather than a maintainer — a commercial executive with a proven track record of diagnosing funnel bottlenecks, architecting high-converting sales systems, enforcing strict operational discipline, and scaling inbound, call-driven consumer sales. The ideal candidate brings deep commercial leadership experience in the national consumer market, specifically within consultative, custom-made physical products with an average order value of $6K+. Responsibilities: Revenue Growth & Funnel Optimization: Develop and execute the overall B2C growth strategy. Rigorously analyze sales data to identify root causes of lost revenue, prioritize growth levers, drive stage-by-stage conversion gains, accelerate speed-to-lead and quote turnaround, and eliminate avoidable lost deals. Leadership Through Managers: Lead, mentor, and hold accountable B2C Sales Team Leads. Establish their operating cadence, review cycles, and QA standards; empower each Team Lead to drive daily execution, rep coaching, and performance management. Commercial Engine & Process Architecture: Design and refine end-to-end B2C customer engagement standards, multi-touch follow-up cadences (phone, SMS, email), discounting discipline, margin preservation, and seamless order handoffs to production. AI Integration & Conversation Intelligence: Actively embed modern AI workflows into daily sales operations. Leverage conversational AI, automated speech transcription, and LLMs (ChatGPT, Claude, specialized speech QA) to run 100% call QA, surface recurring objection patterns, diagnose lost-deal root causes, and equip Team Leads with automated coaching insights for their reps. Operational Excellence & CRM Governance: Establish and enforce strict CRM architecture and hygiene (HubSpot, Salesforce, or equivalent). Oversee pipeline stages, automated task flows, omnichannel sequences, and SLA tracking; build BI dashboards that turn pipeline data into prioritized operational actions with clear owners and deadlines. Sales Enablement & Training: Develop deep expertise in our architectural glass systems, configurations, and pricing logic. Partner with the Training Department to create practical objection-handling playbooks, scripts, and targeted coaching modules based on real call transcript data. Cross-Functional Collaboration: Partner with Marketing on lead volume, CAC, lead scoring, and segment quality, while expanding complementary demand channels (referrals, repeat clients, trade/design partnerships). Align with Estimating and Production to ensure quote accuracy and reliable turnaround times. Executive Cadence & Strategic Alignment: Own full operational accountability for the B2C sales function. Deliver transparent reporting and forecasting to the CEO on conversion, margins, and revenue performance, serving as the trusted leader of the retail commercial engine. Requirements Experience: 10+ years of total sales experience, with 5+ years in sales leadership. 3+ years as head of a B2C sales function directly managing Team Leads or sales managers who ran their own front-line teams. Demonstrated track record leading a B2C business generating $30M+ in annual revenue. Market & Product Background: Proven leadership in the national market selling physical, consultative, custom-made products requiring discovery, quoting, and production (e.g., architectural glass, windows & doors, custom closets, cabinetry, kitchens, remodeling, flooring, or interior finishes; installation experience is not required). Sales Model: Expert in high-volume, inbound, call-based B2C sales environments where conversion hinges on rapid lead response, quote turnaround, and structured follow-up cadences. Proven builder profile: documented success in building or substantially redesigning a sales engine from scratch, demonstrating verified conversion and revenue expansion rather than simply maintaining existing workflows. Experience designing and managing performance-driven commission plans for B2C sales teams. Analytical Discipline: Rigorous data-driven mindset capable of isolating funnel drop-offs, separating lead quality issues from sales execution flaws, and verifying ROI on operational changes. CRM & AI Fluency: Advanced proficiency in CRM pipeline design, automation, SLA tracking, and BI dashboards. Daily, practical adoption of modern AI tools (ChatGPT, Claude, Gemini, Perplexity) applied to call QA, lost-deal reviews, and team performance diagnostics. Leadership & Communication: Exceptional communication and interpersonal skills, with a direct, transparent management style and a track record of making decisive, data-backed talent and performance decisions. Skills & Attributes:Education / Plus: Business or Marketing degree is a plus; prior experience in a combined Sales & Marketing leadership role is an asset. Benefits Competitive base salary + performance-based bonuses. On-site role, Monday to Friday, 8:30 AM – 5:00 PM. Complete ownership of the sales strategy and a chance to lead business expansion in a fast-growing U.S. company. Opportunity to make a tangible, high-impact contribution to the business.

Location: Al Jubail, Saudi Arabia; Dhahran, Saudi Arabia We are seeking an experienced Rotating Equipment Engineer specializing in industrial diesel engines to join the Mechanical Services Shops. The role focuses on diesel-engine overhaul engineering, troubleshooting, diagnostics, performance testing, repair planning, and root cause analysis (RCA) for engines used in oil and gas applications. Key Responsibilities Plan and supervise diesel-engine overhauls, including inspection, repair scope, dimensional checks, and component clearances. Troubleshoot diesel-engine mechanical systems, fuel injection, turbochargers, cooling, lubrication, governors, electronic controls, and protection systems. Ensure proper engine assembly, quality control, timing, torque settings, and compliance with OEM specifications. Conduct dynamometer and load testing to evaluate engine performance, vibration, temperature, pressure, emissions, and fuel consumption. Perform failure analysis and root cause investigations, recommending corrective actions and reliability improvements. Review OEM manuals, technical specifications, test results, and diagnostic data to ensure safe and reliable engine operation. Requirements Education: Bachelor's degree in Mechanical, Automotive, Marine, or Power Engineering from a recognized and approved program. Total Experience: Minimum 15 years of experience in engine or rotating equipment engineering . Relevant Experience: Minimum 8 years of hands-on experience in industrial diesel-engine overhaul, diagnostics, and performance testing . Strong expertise in diesel-engine mechanical systems, fuel injection, turbochargers, cooling, lubrication, governors, controls, and protection systems. Hands-on experience with OEM diagnostic software, borescope inspection, vibration analysis, dynamometer or load-bank testing, and root cause analysis. Ability to interpret OEM manuals, technical specifications, engine test curves, alarm logs, and electronic control data. Preferred Qualifications Relevant OEM diesel-engine training and certifications. Mobius vibration analysis certification. ICML MLA I or equivalent lubrication certification.

Location: United States Workplace: OnSite WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Are you energized by bridging the gap between frontier AI capability and complex customer reality? Do you want to architect high-performance, resilient machine learning systems directly inside strategic enterprise environments? We are looking for a Staff Forward Deployed Engineer (FDE) to join our team. The team is responsible for taking our large language models and making them work reliably, securely, and at peak performance within our customers' custom infrastructure and data perimeters. In this role, you will act as the principal technical translation layer between our core engineering teams and our strategic partners. You will own the architecture for highly ambiguous, customer-specific inference challenges—ranging from multi-tenant model serving to multi-datacenter disaster recovery and custom hardware validation. You will lead technical adoption end-to-end, ensuring our models achieve exceptionally low latency, high throughput, and seamless resilience in the field. As a Forward Deployed Engineer, you will: • Embed directly with customer engineering teams to architect the "connective tissue" between our AI models and their live, complex production environments. • Design advanced model serving topologies, implementing multi-tenant architectures, intelligent model routing, and cross-datacenter failover strategies for multi-cluster environments. • Optimize "AI-in-a-box" and private deployments, balancing localized SRE constraints like Kubernetes multi-cluster scale with raw model performance. • Conduct rigorous benchmarking and profiling of customer LLM workloads, root-causing performance degradation (e.g., slow generation) via metrics, dashboards, and distributed logs. • Accelerate hardware validation, collaborating with clients to run and support Cohere models on next-generation accelerators (GPUs, TPUs, AMD, and custom ASICs). • Translate complex field friction into platform upgrades, delivering prescriptive feedback and contributing directly back to core product features. • Ensure Day-1 production reliability, assisting customers in establishing sound deployment patterns, SLOs, and observability frameworks. You may be a good fit if you have: • 8+ years of engineering experience running production infrastructure, designing large-scale distributed systems, or deploying enterprise software in complex environments. • Deep technical depth in production Kubernetes, including orchestration across multi-cluster and hybrid/multi-cloud ecosystems (GCP, Azure, AWS, OCI). • Strong understanding of LLM architecture and inference dynamics, specifically how attention mechanisms, compute-bound prefill, and memory-bound decode phases dictate live performance. • Hands-on experience with modern inference engines and optimization stacks (e.g., vLLM, TensorRT-LLM, lmd, or Dynamo). • Familiarity with distributed serving techniques, such as prefill/decode disaggregated serving, distributed KV caching, and multi-GPU workloads. • Exceptional customer-facing technical leadership, with a proven track record of scoping highly ambiguous problems and steering executive technical stakeholders. • The high agency, grit, and adaptability to write same-day production code while managing client-side deployment politics or blockers. • Strong programming foundations in Python, Go, or C++, comfortable moving fluidly between backend data pipelines and infrastructure layer tuning. 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-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every change to Anthropic's software has to reach production somehow: new code, runtime configuration, feature flags, infrastructure changes. Our team builds the systems those changes travel through. Our mission is to give every team at Anthropic a fast, safe, and predictable path from change to production. We sit within Anthropic's Infrastructure organization and own pipelines, staged rollouts, health-gated promotion, and rollback, along with runtime configuration, feature flags, and the systems that deliver code and artifacts to machines across a very large fleet. You'll own a meaningful part of this end to end, from design through operating it in production. If you want your work to shape how fast and how safely Anthropic ships, this could be a great fit. Key responsibilities Set technical direction for major parts of the deployment platform and own them end to end: design, implementation, and operations Build rollout safety into the platform, including progressive delivery, health-gated promotion, automatic pause and rollback, and deploy controls that teams manage themselves Design APIs and abstractions that work equally well for engineers and for AI agents Extend the platform to new workload types and runtimes, from Kubernetes to serverless and edge platforms Build and operate runtime configuration and feature flag systems with validation, gradual rollout, and fast rollback Build infrastructure-as-code workflows that many teams rely on for safe, routine changes Scale artifact distribution so code and configuration reach machines quickly and efficiently Partner with Security so that the path to production is secure by default, with verifiable builds, least-privilege access, and auditable changes Work directly with teams across Anthropic to understand their deployment needs and bring their workloads onto the platform Take part in on-call and incident response, and turn what you learn into guardrails that prevent the same problem from recurring Minimum qualifications Proficiency in at least one backend or systems programming language, such as Rust, Go, C++, or Java Experience leading the design, building, and operation of distributed systems or infrastructure in production, including technical direction across teams Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP Strong written and verbal communication skills Preferred qualifications Experience building deployment, release, or change management systems at large scale Experience with production on-call and incident response Experience with Rust in production Experience with progressive delivery and GitOps tooling, such as Argo CD or Argo Rollouts Deep knowledge of Kubernetes, including controllers and operators Experience with Terraform or other infrastructure-as-code systems at scale, including state management and locking Experience building feature flag, experimentation, or dynamic configuration systems Experience with artifact or package distribution, such as OCI registries, Nix, or content-addressed storage Experience with software supply chain security, such as signed build provenance Experience building high-throughput workflow engines or control planes backed by relational databases Experience building internal developer platforms and leading adoption across many teams Experience using AI agents in your own engineering work, or building systems that agents operate Representative projects Build operator controls for progressive rollouts, including pause and resume that preserve rollout state Design a deployment engine built on fine-grained targets and their dependencies, so each change rolls out exactly where it needs to Build cluster-health-aware rollouts that steer around unhealthy clusters Add a new workload type to the platform, including its rollout, verification, and rollback behavior Design a deployment control plane that handles sharp bursts of agent-driven traffic Design a distribution system that delivers configuration and artifacts to every machine in the fleet as demand grows The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. The Vice President of Platform Engineering reports to the CTO and leads the strategy, organization, and execution for 1Password’s core service and development platforms. The VP is accountable for building secure, reliable, and scalable foundations that enable teams across 1Password to deliver, operate, and own with autonomy, speed, and unambiguous accountability. The VP owns operations, drives delivery, and develops a high-performing team to achieve impactful results. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: - Experience: 10+ years of experience in software engineering, with at least 7 years in a leadership role, preferably with experience building and operating at the intersections of IaaS, SaaS, and the cybersecurity industry. - Education: Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or related fields; or proven equivalent work experience. - Proven track record establishing durable, full-lifecycle ownership for critical platforms and services, including adoption, customer experience, reliability, security, cost, incident response, and continued evolution. - Proven ability delivering and operating cost-effective mission-critical infrastructure and platform systems serving internal- and consumer-facing software products, operational efficiency and market expansion. - Strong business and technical acumen in systems and software engineering, proven ability to lead an organization and culture delivering best practices and innovation. - Exceptional analytical and strategic thinking skills, with the ability to define, develop and execute strategic plans across a wide set of objectives, driving committed quantifiable results. - Extensive experience in building, maintaining, and influencing operational excellence, including process and system optimization, scalability, and the development and management of performance metrics - Demonstrated ability to collaborate effectively with C-suite leaders and cross-functional teams, aligning on strategic priorities to achieve shared objectives. - Outstanding communication skills, with the ability to convey complex ideas clearly, build trust, inspire broadly, gaining alignment across diverse stakeholders. - Proven expertise in leading and sustaining multi-year transformational initiatives in fast-paced, complex, and dynamic environments. - Proven experience building, developing and scaling high-performing teams. What you can expect: - Leadership: Continuously evolve, develop and execute the Platform Engineering vision, strategy, objectives, and roadmaps, aligning and laddering it with the company strategy and customer needs. Proactively incorporate market and industry trends, competitive landscape, and customer insights to identify opportunities, informing strategic decision-making. - Transformation: Lead multi-year changes to 1Password’s engineering architecture and operating model, building shared platforms, supported paths, and common practices that improve reliability, security, developer effectiveness, and the company’s ability to scale. - Company Initiatives: Lead technology-adjacent strategic initiatives that facilitate delivering best-in-class engineering results, from inspiration and innovation, to implementation and iterative improvement. - Operations: Design and evolve the organization, ownership model, and operating mechanisms needed to execute the strategy. Establish clear accountability for the platforms and services the organization operates directly, while creating governed, supported paths that enable other teams to own and operate their products independently. - Engineering Systems and Practices: Advance how software is built and operated across 1Password through ubiquitous engineering standards, operational excellence, and safe, measurable Agentic Engineering practices. Establish the platforms, controls, and evidence needed for teams to adopt these practices while remaining accountable for their results. - Performance: Establish clear, quantifiable outcomes across the organization and operating mechanisms that expose progress, quality, adoption, operational health, and business impact. Use evidence to make investment, prioritization, and organizational decisions, transparently providing actionable insights for the executive team and organizational leaders. - Cross-functional Collaboration: Build strong relationships across the company to proactively identify needs, align strategies, and optimize your company-wide impact. Foster collaboration within and beyond the Technology organization to influence change. Apply critical feedback toward achieving strategic goals. Represent the technical organization in senior leadership meetings, providing updates on strategic initiatives, operational execution, and industry trends and their implications. - Team Leadership: Build and lead a high-performing team by mentoring and coaching direct reports, evaluating organizational talent, and implementing plans to prepare talent for future business demands. - Leadership Growth: Invest in the growth and development of the leaders within the technology organization across 1Password via direct mentorship, sponsorship, and participation at sibling organization events, as well as providing leadership alongside cross-functional partner teams, such as Product, Security, People/Talent, Operations and L&D. - Culture and Org Health: Drive and evolve our high-performance culture, fostering psychological safety, inclusivity, ownership, and agility. Champion initiatives to enhance the employee experience organizationally- and company-wide. - Financial Oversight: In partnership with Finance, own the organization’s investment and capacity strategy, balancing current operations, future-state transformation, and targeted growth. Ensure resources are allocated against the highest-value outcomes and adjust plans when evidence or business priorities change. USA-based roles: The annual base salary for this role is between $302,000 USD and $483,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles: The annual base salary for this role is between $278,000 CAD and $445,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: London, United Kingdom Workplace: remote NovaKid is online-school for children 4 -12 years old, in which children remotely learn English language with natives from the US and the UK. Our customers come from more than 50 countries all over the world. We have 100K+ students and 4K+ teachers. Our international team is proud of 450+ developers / support managers and marketing gurus. Help turn lesson content into learning that works. We are looking for a Learning Content Editor who can recognise what makes a lesson clear, engaging and effective, whether it was created by a person, AI or a combination of both. You will review lesson drafts and completed lessons, looking beyond correct language to the overall quality of the learning experience. You will work closely with content creators, project managers and proofreaders to make sure lessons achieve their intended outcomes. What you will do Check that activities teach, practise and assess the intended learning outcomes. Assess logical flow, scaffolding, pacing and suitability for learners’  ages and levels. Spot opportunities to make lessons more engaging and give learners more meaningful practice. Review slides, instructions, teacher notes and interactions for clarity and intuitive use. Identify English that sounds unnatural, awkward or overly formulaic, even when it is grammatically correct. Provide specific suggested changes, explain why they matter and check the creator’s revisions. Use AI and automation thoughtfully to support efficient, consistent editorial review. You will recommend improvements, including sample wording or alternative activities where useful; creators implement all changes. The role focuses on educational editorial review, with detailed proofreading handled by proofreaders. What you will bring Experience reviewing or developing educational content and a strong understanding of how learners build skills. Native-level English, with an excellent ear for natural phrasing, dialogue and age-appropriate language. The ability to explain editorial decisions clearly and give constructive, practical feedback. A collaborative approach, sound judgement and reliable organisation. An open, critical approach to AI and an interest in useful automation. Experience with English language learning materials and interactive digital lessons would be an advantage. Qualifications and experience A relevant bachelor’s degree, such as Education, English or Linguistics. At least three years’ experience editing or developing educational content. Native-level English and a sound understanding of what makes lessons effective and engaging. Clear, constructive communication and confidence using AI tools. Experience with English language learning materials would be an advantage. We Offer Fully remote work A chance to shape the future of AI-driven education A dynamic team that loves building innovative products

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: £265,000 to £375,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £265,000 — £375,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: We prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: $350,000 to $500,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States Remote Workplace: Remote ABOUT THE TEAM Mural helps teams think, decide, and follow through together. AI made producing content cheap. It did not make agreement, commitment, or follow-through any easier. The AI Workflows team builds the AI and agentic experiences inside Mural that help teams reach decisions and keep them. YOUR MISSION You will own the outcomes for new AI experiences from first idea to proven value. You will partner with the Engineering Manager and the Agentic Design Director for AI Workflows as counterparts, and together you will own the strategy. You will work with a wider team of engineers, ML engineers, designers, and product managers, moving from hypothesis to working prototype to evidence in weeks, not quarters. You will build prototypes yourself and decide what ships, what changes, and what we stop, based on what users do and what the evals tell us. WHAT YOU'LL DO - Set strategy for AI Workflows together with your engineering and design counterparts, own the outcomes and the evidence behind what we build, and engage deeply in the end-to-end user experience - Find the team workflows where AI adds clear value, at the intersection of collaboration, alignment, and decision making. - Build working prototypes with modern AI tools (Claude, Cursor, Codex, or similar) to test ideas with users before committing further investment. - Turn each release into a hypothesis with pass/fail criteria, and make the call on whether to iterate, scale, or kill it. - Define product-quality evals with engineering that measure usefulness, trust, and reliability, and own the call on whether an experience meets the bar to ship. - Decide with engineering and ML when to use frontier models, when to route across models, when to bring in a new model, and when a model of our own is worth building. - Understand the cost to serve each workflow, and work with growth and finance on how usage is metered and what the unit of value is. - Set up the data loops that improve quality, including what we collect, how we label it, and how it feeds evals and model work. - Design agentic experiences that work in real multiplayer sessions, where people need to understand, steer, and correct what the agent does. - Talk with users every week and bring what you learn back into the work. - Work with design, engineering, marketing, sales, legal, and security teams to align on shipping decisions. - Share what you learn across the product organization so other teams can adopt the practices that work. WHAT YOU'LL BRING - 7+ years in product management, including shipping at least one AI product from concept to real users. - Recent hands-on experience building agentic or LLM-based products, including what went wrong and what you changed. - Technical fluency to design and read evals, and to work as a peer with engineers and ML engineers on context management, latency, reliability, and failure modes. - Sound judgment on model decisions: comparing models, routing across them, adopting new ones, and deciding when fine-tuning or a custom model is worth it. - Understanding of AI unit economics, including cost to serve, usage-based metering, and how model choices change margin. - A record of launching, rebuilding, changing direction, and killing ideas based on evidence - Comfort making high-stakes decisions with incomplete information, and being candid about the tradeoffs. - Experience owning outcomes while partnering with expert engineering and design leaders as true counterparts. - Experience creating structure where no playbook exists. - Experience with collaboration or productivity software. - Experience with forward-deployed or customer-embedded product work. - Experience with agent interoperability, including MCP. EQUAL OPPORTUNITY  We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Location: Remote (US) About the company Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We are the global leader in tokenized treasuries, tokenized stocks and ETFs, and are building the future of institutional-grade financial services onchain. Founded by folks from Goldman Sachs Digital Assets Team, we’re backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue growing the firm. We're fully remote, with team members across the U.S. About the role Ondo's user research team is small but mighty, and works horizontally across the whole product suite, not inside a single pod. We're hiring a senior quantitative user researcher to build and lead quantitative research across the portfolio. You'll set your own UXR strategy with minimal guidance, take on the hardest decision-shaping questions whichever team they come from, and answer them with evidence that holds up at scale. What You'll Do Own the research intake and quant roadmap. Field research questions from product, design, GTM and leadership. Turn vague asks into answerable questions, decide which need quantitative evidence (and which don't), and prioritize where evidence most reduces risk on our biggest bets. Answer the big questions before launch. Use MaxDiff and conjoint to show which features, benefits and messages actually drive decisions. Design pre-launch experiments (stimulus tests, matched cohorts, vignettes, threshold studies) with decision rules set before fielding, and pretest instruments with cognitive interviews. Build measurement and segments that last. Adapt or develop validated scales for trust, perceived security and comprehension, track them across products and markets, and turn our user profiles into statistically validated, sized segments. Get data you can trust, and connect it to behavior. Design sampling, translation and fraud controls for a global, crypto-native audience, and partner with data science to link survey data with product data. Evaluate AI-assisted experiences. Design human evaluation for AI-assisted finance features: rubrics, rater reliability, and whether user trust matches how reliable the system actually is. Be leadership's partner for evidence. Present findings as recommendations with effect sizes, confidence and what would change the call. Give quick, right-sized answers to ad-hoc leadership questions, whether that's existing data, a fast pulse survey or a full study. Set the standards that let PMs and designers run sound lightweight surveys or data-driven validation themselves. Requirements 7+ years of UX or applied research experience, including at least 5 years leading quantitative studies end to end, from study design through recommendation. Experience leading quantitative research studies for financial products (e.g., brokerage, trading, banking, payments, wealth or lending). A self-starter who operates with minimal guidance: you scope ambiguous problems, set your own priorities, and drive studies to a decision. Deep survey science expertise: sampling and weighting, instrument design, bias control, data-quality screening, and programming in Qualtrics or similar. Hands-on experience designing and analyzing MaxDiff and/or conjoint studies. Strong applied statistics: regression, power analysis, and experimental and quasi-experimental design. Fluency in R or Python for analysis and visualization. You have an existing AI-assisted research setup, from drafting survey instruments to writing and reviewing analysis code, and you proofread/validate every output with rigor. A track record of quantitative work that changed a product or business decision, and the ability to explain uncertainty clearly to executives and non-researchers. Nice to Have Experience with crypto, onchain or tokenized-asset products. A master’s or PhD in a quantitative field such as statistics, survey methodology, behavioral economics, or marketing science. Depth in advanced methods, such as hierarchical Bayes and simulators, psychometric scale development, segmentation, pricing research, or SQL and multilevel modeling. Experience evaluating AI or LLM-powered products, such as human evaluation design, rubrics or rater reliability. Research across markets in LATAM, APAC or EMEA, including translating survey instruments. Responsible AI-native research workflows, such as using LLM tools to speed up instrument design, coding of open-ended responses or analysis. What we offer Competitive compensation including but not limited to salary, future token rights, and/or equity (according to your preferences) — We are well-funded and believe that great talent deserves great compensation. Full benefits (medical, vision, and dental) and flexible vacation policy (PTO). Remote-first team across many countries — You will be an early team member helping shape our vision, culture, and design practices. A+ colleagues — Our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Circle, Uniswap. Best-in-class investors — We are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures.

Location: Remote - USA Workplace: Remote SOLUTIONS ARCHITECT Our Solutions Architecture team connects business priorities with practical technical solutions, helping customers understand how Chainalysis can support their most important objectives. In this role, you will provide technical leadership throughout the customer journey. You will turn complex requirements into clear recommendations, help customers envision how our products fit into their operating environment, and guide them toward measurable business outcomes. As a Solutions Architect, you'll develop a deep understanding of Chainalysis solutions and the problems our customers are trying to solve. You'll explain complex concepts in a clear, compelling way to technical practitioners, business leaders, and executive stakeholders. You'll also build practical, customer-specific solutions that support deployment, integration, adoption, and long-term value. In this role, you'll: - Serve as a core member of the account team, partnering closely with Sales, Services, Customer Success, Product, and Engineering. - Take ownership of customer outcomes across the full lifecycle, from initial discovery and solution design through investigation support, compliance program delivery, deployment, enablement, adoption, and expansion. - Lead discovery conversations that uncover customer objectives, operational pain points, use cases, technical constraints, and success criteria. - Translate business and operational needs into clear technical requirements, solution designs, and implementation paths. - Articulate Chainalysis capabilities in a way that is relevant to each customer's compliance, risk, fraud, investigations, or security environment. - Create tailored demonstrations, proof-of-value experiences, and technical narratives that show how Chainalysis can address customer priorities. - Conduct blockchain investigations, deliver compliance and regulatory guidance, and build technical solutions such as notebooks, dashboards, automation workflows, data integrations, reference architectures, and agentic workflows. - Develop AI-assisted workflows that accelerate and automate investigations, analysis, and customer processes, adapted to each customer's operating model, data, controls, and risk framework. - Design automation that fits into existing compliance, risk, fraud, investigations, or security operations rather than requiring customers to redesign how they work. - Help customers access and operationalize Chainalysis data through APIs, integrations, and fit-for-purpose technical patterns. - Provide guidance on solution architecture, API implementation, workflow design, data movement, and integration considerations. - Drive platform adoption by connecting customer workflows to Chainalysis capabilities and identifying new use cases. - Identify creative, responsible approaches to difficult customer problems, while balancing speed, scalability, security, maintainability, and measurable impact. - Build trust through sound technical judgment, clear communication, reliable execution, and a strong understanding of the customer's business. - Assemble the technical evidence base, including outcome data, consumption metrics, adoption analysis, and expansion signals, that supports quarterly impact reporting and renewal conversations. - Build customer capability and self-sufficiency rather than creating ongoing dependence on the Solutions Architecture team. - Own the feedback loop between customers and Product/Engineering, translating field insights and feature requirements into product improvements and bringing those improvements back to customers. - Act as a trusted advisor to customers, meeting them at their current level of crypto-maturity and partnering with them to advance their understanding, processes, and outcomes. - Represent Chainalysis at customer meetings, industry events, and conferences. - Contribute to the wider Solutions Architecture team through reusable assets, knowledge sharing, internal initiatives, and better ways of working. We're looking for candidates who have: - Several years of experience in one or more relevant areas, such as financial services, compliance, investigations, fraud, cybersecurity, digital assets, transaction monitoring, sales engineering, solutions architecture, or enterprise product management. - Experience making complex technical or operational concepts understandable to different audiences. - Strong storytelling, presentation, and written communication skills, with the ability to engage both technical teams and executive stakeholders. - A creative, structured, and investigative approach to solving challenging customer problems. - Comfort working with technical tools and learning new technologies quickly. Experience with Python or another programming language, SQL, data analysis, notebooks, workflow automation, APIs, integrations, or AI tools is valuable. - The curiosity and initiative to develop technical depth over time; you do not need to arrive with a complete technical stack, but you should enjoy investigating how things work and building the skills to solve new problems. - The ability to operate effectively when requirements are ambiguous, information is incomplete, or the best path forward has not yet been defined. - A collaborative, generous approach to working with others, including a willingness to share knowledge, seek input, and improve team practices. - A demonstrated focus on measurable customer outcomes, not simply technical activity or product usage. - An interest in blockchain and a desire to keep building your understanding of the technology, the market, and the customers we serve. Total Compensation: • Base Salary Range: $160,000-$185,000 • Offers Commission: 75/25 OTE • Offers Equity AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.