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Location: Tokyo, Japan About Our Client Our client is a leading global provider of technology-enabled outsourcing and business solutions, supporting organizations and customers across multiple markets worldwide. The company operates across a broad international network and places strong emphasis on operational excellence, technology, and service quality. Job Description The Manager - Information Technology will be responsible for leading all aspects of IT application development and support for designated regions or projects. Additionally, this role entails managing IT budgets strategically to ensure cost-effectiveness while maintaining high service standards. Key Responsibilities Leadership and Team Management Provide overall leadership for the IT applications team, including administrative functions, performance evaluations, and team management. Manage internal client and stakeholder relationships, both internally and externally. Identify key issues and develop appropriate solutions. Document application deployments and share key learnings with vendors and end-users for improvement. Project and Vendor Management Ensure the highest uptime of applications through collaboration with IT stakeholders. Lead project management for IT and business initiatives, managing time, cost, and resources. Communicate any project slippage or issues to stakeholders in a timely manner. Manage vendor relationships, including SLA management and vendor engagement. Prepare and track IT and project budgets. Implement and enforce IT governance policies. Contribute to product development initiatives. Sustainability Promote judicious use of natural resources. Adhere to the organization's environment, health, and safety policies, objectives, and guidelines. Anti-Bribery Management Systems (ABMS) Follow the roles and responsibilities prescribed in the company's Anti-Bribery Management Systems manual. Understand ethical standards and the importance of integrity in business practices. Identify and evaluate risks related to bribery in various business contexts. Key Requirements Graduate/Postgraduate degree in IT, Information Systems, or a related field. Additional graduate degree preferred. 5–8 years of progressive experience in Information Technology. Strong programming experience, preferably in Microsoft technologies (5+ years). Project management experience (1+ year), including team leadership of at least two people. Familiarity with internet technologies and online applications. Demonstrated ability to analyze business requirements and develop effective technological solutions. Behavioral Competencies Communication Digital Fluency Diversity, Equity, and Inclusion Orientation Personal and Professional Development Leadership Entrepreneurship Quality and Service Orientation Teamwork and Collaboration Delivering Results Functional Competencies Stakeholder Relationship Management Vendor Management SAP SharePoint Equal Opportunity Our client is committed to providing equal employment opportunities and fostering an inclusive workplace where individuals from diverse backgrounds are welcomed and supported.

Location: Berlin, Germany About the Company Our client is the largest go-to-market company in the DACH region. They work with high ownership and a fast pace, and they look for people who don't wait to be told what to do, but see where things are on fire and step in. At our client you get real responsibility early and build things that carry the company Grown to over €5M ARR in about 2 years, profitable, bootstrapped and with 200+ B2B clients. Small team with direct access to the founders. If you have a good idea, you implement it yourself. They grow fast enough that responsibility keeps opening up, and they prefer to fill it internally. About the Job Manage a portfolio of around 30 clients and actively shape their growth strategy. Don't just manage clients, actively shape their strategy. Steep learning curve through industry variety. Your clients come from very different industries, so you quickly build strong business acumen. You sit at the table with managing directors, drive things forward with commitment and handle demanding clients with confidence. Substance counts. The best Growth Consultants are the ones who really know their stuff. The Role Central point of contact - For around 30 clients, with biweekly meetings with managing directors and decision-makers. Strategy, not operations - GTM and performance marketing handle execution, the focus is on growth and retention. Berlin, 3+2 hybrid (first month fully on site) // around 30 accounts Requirements Must-Haves A few years of B2B experience with real, personal client ownership, not just internal coordination or project management Proven track record with numbers, e.g. number of own accounts, retention or upsell volume Strongly analytical and confident with numbers and data Confident presence, advises managing directors and decision-makers as a peer Ownership and drive, works independently and needs little guidance Should-Haves (Most should be met) Hands-on experience in outbound, lead generation or B2B acquisition Can manage a large portfolio in a structured way Experience with upselling, cross-selling or retention of existing clients Good English Nice-to-Haves Consulting, Founder's Associate, agency or startup background Performance marketing, e.g. Google or LinkedIn Ads Experience with CRM systems Benefits Coaching program with 1:1s from day one Deutschlandticket and Urban Sports Club M MacBook and a dedicated desk in the office Dinner when it gets late (from 7 pm) Regular team events and team evenings

Location: Berlin, Germany About the Company Our client is the largest go-to-market company in the DACH region. They work with high ownership and a fast pace, and they look for people who don't wait to be told what to do, but see where things are on fire and step in. At our client you get real responsibility early and build things that carry the company Grown to over €5M ARR in about 2 years, profitable, bootstrapped and with 200+ B2B clients. Small team with direct access to the founders. If you have a good idea, you implement it yourself. They grow fast enough that responsibility keeps opening up, and they prefer to fill it internally. About the Job Turn qualified inbound leads into new clients, with full focus on closing. You close, the meetings come to you. 100% inbound. Their own GTM product books the meetings, no cold calling and no prospecting. Their offering is in very high demand in the German market. Deliver and you grow fast. The Role Full cycle to signature. Very short sales cycles, hardly any pre-sales, new business only and no upselling. Selling via video. From there, growth goes formal (Senior AE, Lead) or sideways into other areas. Berlin, 3+2 hybrid (first month fully on site) Requirements Must-Haves At least 1–2 years of own B2B closing experience, backed by numbers such as quota attainment or deal sizes (SDRs only with 3+ years of sales experience) Clear new-business focus, has won new clients themselves rather than only managing existing ones Ownership and drive, works independently and needs little guidance Fluent in German Should-Haves (Most should be met) Experience with high deal volume, short sales cycles and selling via video Selling retainers, subscriptions or other recurring revenue (MRR) Structured discovery and objection handling, e.g. MEDDIC or SPIN Basic understanding of B2B marketing, lead generation or GTM Confident with CRM systems Comfortable with a highly variable compensation model Nice-to-Haves SaaS (ideal), startup or consulting background Sales in an agency or services business Performance marketing or Google Ads Experience with Pipedrive Uses AI tools in day-to-day sales Benefits Coaching program with 1:1s from day one Deutschlandticket and Urban Sports Club M MacBook and a dedicated desk in the office Dinner when it gets late (from 7 pm) Regular team events and team evenings

Location: Dubai, United Arab Emirates; New Delhi, India; Kolkata, India; Mumbai, India; Bengaluru, India; Chennai, India Apt Resources is seeking an experienced Head of Supply Chain to oversee and optimize end-to-end supply chain and logistics operations for our client in Senegal. The successful candidate will be responsible for developing supply chain strategies, managing procurement coordination, logistics, inventory, and supplier relationships, and ensuring the efficient movement of materials and equipment to support business and operational requirements. The ideal candidate should have an engineering background and over 20 years of experience in supply chain management and logistics within the mining, fertilizer, or related heavy industrial sectors. Responsibilities Develop and implement comprehensive supply chain strategies aligned with operational and business objectives. Oversee end-to-end supply chain operations, including procurement coordination, logistics, transportation, warehousing, and inventory management. Manage the movement of raw materials, industrial equipment, spare parts, and operational supplies to ensure timely delivery. Coordinate with procurement, operations, production, maintenance, and project teams to identify supply requirements and avoid operational disruptions. Establish and maintain strong relationships with suppliers, logistics providers, freight forwarders, and other supply chain partners. Oversee local and international logistics, including import and export activities, customs clearance, and cross-border transportation. Develop and monitor supply chain budgets, logistics costs, inventory levels, and key performance indicators. Identify opportunities to optimize costs, improve operational efficiency, and streamline supply chain processes. Implement effective inventory control systems and ensure the availability of critical materials and equipment. Assess supply chain risks and develop contingency plans to address potential disruptions, delays, and shortages. Ensure compliance with applicable regulations, customs requirements, company policies, and health and safety standards. Lead, develop, and supervise supply chain and logistics teams. Prepare regular reports on supply chain performance, costs, operational challenges, and improvement initiatives. Drive continuous improvement initiatives to enhance supply chain reliability and support business growth. Requirements Bachelor's degree in Engineering, preferably Industrial, Mechanical, Chemical, or a related engineering discipline. More than 20 years of experience in supply chain management, logistics, or related functions. Extensive experience in the mining, fertilizer, petrochemical, or other heavy industrial sectors. Proven track record managing end-to-end supply chain and logistics operations in complex industrial environments. Strong knowledge of international logistics, freight forwarding, customs clearance, transportation, warehousing, and inventory management. Experience managing the supply of industrial equipment, raw materials, spare parts, and operational consumables. Strong expertise in supplier management, supply chain planning, cost control, and process optimization. Experience managing international suppliers, cross-border shipments, and logistics operations is highly preferred. Excellent leadership, negotiation, analytical, and problem-solving skills. Proficiency in ERP systems and supply chain management software. Strong communication and stakeholder management capabilities. Ability to work in a demanding industrial environment and manage multiple operational priorities. Willingness to be based in Senegal. Benefits USD 8,000–8,500 plus plus

Location: Minsk, Belarus As part of our continued growth, Neo Group is recruiting on behalf of one of our local partners , leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. We are on the lookout for a Project Manager to coordinate the work of our Content and Design Teams. Role overview As a Project Manager, you’ll coordinate projects and day-to-day work across the Content and Design teams, keeping priorities, deadlines, and workloads on track. You’ll work closely with Team Leads and department heads to remove blockers and make sure work runs smoothly. You’ll also look for ways to simplify and automate processes, improve Jira workflows, and use data and AI to make team operations more efficient. Responsibilities: Project Coordination: Coordinate ongoing projects and day-to-day tasks across the Content and Design departments. Planning & Prioritization: Track deadlines, priorities, dependencies, and blockers to keep work on schedule. Team Support: Support Team Leads with workload planning, task coordination, and day-to-day operations. Operational Support: Take over operational responsibilities during periods of high workload or when another Project Manager is unavailable. Process Improvement: Identify inefficient or manual processes and suggest ways to simplify and automate them. AI Solutions: Identify opportunities to use AI in internal workflows and support the implementation of relevant solutions. Jira Management: Configure and improve Jira workflows, automations, filters, dashboards, and reporting. Reporting: Prepare regular reports on production, workload, timelines, bottlenecks, and key risks across Content and Design. Data-Driven Improvements: Use data to identify operational issues and recommend practical process improvements. Stakeholder Collaboration: Work closely with Team Leads, department heads, and internal stakeholders to keep teams aligned and projects moving forward. Requirements Experience: 2+ years of experience as a Project Manager or in a similar role. Multi-Team Coordination: Experience coordinating multiple teams or workstreams simultaneously. Jira & Atlassian: Strong knowledge of Atlassian tools, especially Jira, with the ability to configure workflows, automations, filters, dashboards, and reports independently. Prioritization: Ability to manage multiple tasks in parallel, set priorities, and keep work on track. Process Analysis: Ability to analyze workflows, identify root causes of process issues, and suggest practical improvements. Data & Reporting: Ability to work with reporting data, identify key insights, and turn them into clear conclusions and recommendations. AI: Strong interest in AI and hands-on experience using AI tools in day-to-day work. Proactivity: Proactive approach and willingness to identify, suggest, and drive process improvements. Language Skills: English at B2 level or higher. Nice to have: Experience working with Content or Design teams. Experience implementing AI tools in internal workflows. Experience building reports on team workload and operational efficiency. Benefits Enjoy 5 health days to focus on your well-being. Take advantage of 25 paid calendar vacation days to explore, relax, and unwind. Get a $30 net per month sports compensation to stay active and healthy. Benefit from top-notch medical insurance for peace of mind. Indulge in a variety of snacks available in the office. Join us for exciting corporate events that foster team spirit and fun!

Location: New York HQ Workplace: OnSite ABOUT AVOCA Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers. We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office. In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact. ABOUT THE ROLE As Director of Mid-Market Sales, you will lead and elevate our mid-market sales organization, driving performance, consistency, and execution excellence across the segment. This is a leadership role focused on developing talent, sharpening sales rigor, and building a repeatable, high-performing motion. You’ll coach a team of already-performing Account Executives to win complex deals, deepen discovery, improve close rates, and consistently exceed targets. This role is ideal for a sales leader who thrives in high-accountability environments, loves developing talent, and knows how to build discipline and performance into a scaling mid-market team. WHAT YOU’LL DO - Own mid-market revenue performance, ensuring the team consistently hits and exceeds monthly and quarterly targets. - Coach and develop Account Executives to improve discovery, objection handling, deal strategy, and closing effectiveness. - Elevate call quality through regular deal reviews, call coaching, and structured feedback loops. - Improve pipeline hygiene, forecasting accuracy, and overall sales execution rigor. - Identify skill gaps and implement targeted enablement programs to raise performance across the team. - Refine messaging, positioning, and demo execution to increase conversion rates and ACV. - Lead by example in strategic deals, modeling best-in-class mid-market selling behavior. - Establish clear performance standards and accountability across the team. WHAT YOU’LL BRING - 6+ years of B2B SaaS sales experience, with 2+ years leading mid-market or enterprise AEs. - Strong track record of improving rep performance through hands-on coaching. - Experience scaling and optimizing mid-market sales motions. - Proven ability to drive forecast accuracy and operational rigor. - Deep expertise in discovery-led, consultative sales. - Ability to diagnose pipeline issues and implement corrective action quickly. - Clear, confident communicator who can raise the bar on performance standards. - High ownership mentality and comfort operating in fast-moving, in-office environments. WHO YOU ARE - Coach first, manager second: you measure your success by how much better your reps get. - Obsessed with deal quality, not just deal volume. - Direct and high-accountability: you don't shy away from tough performance conversations. - Energized by mid-market complexity: real selling skill, fast cycle times, operational discipline. - In the weeds on calls, pipeline, and deal strategy, not managing from a dashboard. - Builder mentality: you want to create something, not maintain it. - High ownership, low ego: you do whatever it takes to make the team win. - In-office, engaged, and eager to lead from the front at our NYC location full-time. BENEFITS - Comprehensive medical, dental, and vision insurance - Company-sponsored 401(k) through Vestwell - Flexible PTO plus U.S. federal holidays - Company-wide off-sites - Monthly wellness stipend - Daily in-office lunch through Parkday - Dinner covered when working late - Commuter benefits and late-night rideshare - Standing desks and workspace accommodations available on request - All core tools and software provided Compensation: The expected on target earnings for this role is $350,000-$400,000 with final compensation based on experience, skills, and qualifications determined during the interview process. Avoca’s total compensation package includes base salary, bonus, equity, and a comprehensive suite of benefits and perks. Our Recruiting team will share the full details as you progress through our hiring process. WHY AVOCA At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact. Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

Location: Poland; United States; Germany; United Kingdom; Bulgaria Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are looking for a Research Engineer to join the research team at ElevenLabs. You'll work at the frontier of audio AI, shaping the models behind products used by millions of people. You will thrive in this role if you enjoy: - Training state-of-the-art models - across any modality. - Pushing existing models further through post-training, data curation, architectural improvements, and novel training paradigms. - Designing rigorous benchmarks and evaluations that tell us whether a new model iteration is genuinely better - and why. REQUIREMENTS We do not require any formal certifications or degrees. Instead, we are seeking enthusiastic engineers who can showcase solving impressively hard problems with artifacts such as past projects, designs, or GitHub contributions. Ideally you bring: - 3+ years of experience in the field of AI, with an emphasis on implementing, training, and improving machine learning models. - Demonstrated capacity to autonomously evaluate novel concepts or enhance existing machine learning projects, potentially contributing to published work. - Experience conducting exploratory research to improve the quality of gathered data. LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Drive revenue and retain users to achieve and over perform on target and KPIs. Lead discussions with our largest existing and prospective customers.

We are seeking a Backend leaning Software Engineer. In this role, you will play a pivotal role in designing, building, and maintaining scalable, high-performance systems.

In This Role, You'll Get to: Own and evolve the architecture of ACP: the orchestrator, per-host agent, and CLI that manage dedicated-resource virtual machines on bare metal, including compute placement, image management, and network recovery.

Location: Mexico Paired is a global staffing and recruiting agency that pairs remote work with top-tier talent. We admire the importance of innovative social media strategies and are committed to connecting talented individuals with great companies that need their unique skills. Our mission is to provide great jobs to gifted people, regardless of location. About the Client Our client is a modern packaged food and functional wellness brand built around the belief that great food should support both wellness and enjoyment. The company is committed to creating products with thoughtful ingredients and a strong attention to detail, while bringing a sense of wonder and adventure to the everyday food experience. Its mission is to help customers thrive in the present by providing wellness, great taste, and inspiration. Our client flagship products are soft, dessert-inspired protein bars made with grass-fed bovine collagen peptides, combining functional nutrition with indulgent flavors. About the Role We’re looking for a technically strong, hands-on E-commerce Operations Manager to oversee the day-to-day operations of a growing direct-to-consumer (DTC) business. In this role, you’ll coordinate internal team members and external agencies across paid acquisition, retention marketing, and website operations, ensuring that projects are executed correctly, systems are working as expected, and nothing falls through the cracks. This is not a traditional project management or high-level strategy role. We need someone who understands how e-commerce platforms and marketing channels work in practice, can confidently navigate tools like Shopify, Meta Ads Manager, and Klaviyo, and knows how to identify and troubleshoot issues when something goes wrong. You won't necessarily be responsible for executing every marketing initiative yourself, but you'll need enough hands-on experience to evaluate the quality of execution, understand performance data, hold partners accountable, and occasionally step in to resolve operational issues. You'll work directly with the business owner in a fast-moving environment where priorities can change quickly. This is an opportunity for someone who enjoys taking ownership, solving problems, and keeping a growing e-commerce operation running smoothly. Responsibilities Coordinate internal team members and external agencies across paid acquisition, retention marketing, and website management, ensuring priorities are clear and deliverables are completed on time. Monitor Meta and Google Ads execution, review campaign activity and performance data, and ensure agencies are implementing campaigns correctly. Oversee email and SMS marketing operations through platforms such as Klaviyo, checking campaign schedules, flows, launches, and performance. Regularly review the Shopify storefront to identify issues, verify updates, and ensure website changes and initiatives are implemented correctly. Investigate problems such as missed email sends, campaign setup errors, platform access issues, or website operational issues, resolving them directly when appropriate or coordinating with the responsible team. Gather and interpret data across acquisition, retention, and website operations to provide visibility into performance, identify issues, and support informed business decisions. Follow up on deliverables, identify execution gaps, communicate expectations, and ensure outstanding tasks are resolved rather than simply reported. Keep initiatives moving across multiple channels, coordinate dependencies, and ensure stakeholders have clear visibility into progress and priorities. Identify operational inefficiencies, recurring issues, and opportunities to improve processes, execution quality, and overall e-commerce performance. Requirements 3+ years of relevant experience in e-commerce operations, DTC marketing, e-commerce project management, or a similar hands-on role. Experience working with a direct-to-consumer (DTC) or e-commerce brand, or at an agency supporting e-commerce businesses. Practical familiarity with Shopify, including navigating the platform, reviewing storefront changes, and troubleshooting basic operational issues. Experience with Meta Ads Manager and a working understanding of paid acquisition campaign setup, execution, and performance monitoring. Familiarity with Klaviyo or similar email and SMS marketing platforms, including campaign scheduling, launches, and basic troubleshooting. Exposure to Google Ads and an understanding of how paid acquisition fits into the broader e-commerce operation. Strong analytical skills, with the ability to navigate dashboards, interpret performance data, identify inconsistencies, and communicate findings clearly. Proven project and stakeholder management skills, including coordinating agencies, following up on deliverables, and ensuring accountability across teams. A hands-on, solutions-oriented mindset. You're comfortable getting into the details, investigating problems, and taking action rather than simply escalating issues. Strong organizational skills and the ability to manage shifting priorities in a fast-paced environment. Excellent written and verbal English communication skills, with the confidence to communicate directly with U.S.-based leadership and external partners. Comfortable with occasional urgent requests outside standard working hours when business-critical issues arise. These situations are not constant, but flexibility and responsiveness are important.

Location: Johannesburg, South Africa; Moscow, Russia; Baku, Azerbaijan; Astana, Kazakhstan As a successful candidate you will be required to perform the following: Maintain full Safety Compliance with the Saudi Aramco Applicable Safety & Environmental requirements including SAEP, SAES, GIs and other applicable government regulations. Implement waste management plans for hazardous, non-hazardous, and special wastes including the waste minimization, segregation, storage, transport, and disposal activities with contractors and vendors. Conduct E&OH field audits and inspections as required. Organize and review air emissions monitoring, wastewater sampling, soil assessments and report any non-compliances and ensure corrective actions are tracked and closed in a timely manner. Lead initial environmental spill response coordination, reporting, and root cause analysis, and maintain site-specific Spill Prevention, Control. Conduct regular facility safety inspections and audits, including contractor facilities, and Track corrective action close-outs in environmental tracking systems. Develop and promote a culture of proactive environmental management, and Deliver environmental inductions, toolbox talks, and awareness campaigns for employees and contractors. Prepare monthly and quarterly environmental performance reports, and maintain and update the site’s Environmental Management System (EMS) in compliance with ISO 14001 Requirements Bachelor degree in, Engineering, HSE, Science, Industrial, or in a related discipline from an accredited entity or equivalent. A Master’s Degree or PhD is preferable. Minimum of 10-15 years of experience related to Environmental operations, Oil & Gas industry with minimum of 7 years in Oil & Gas. Certifications (preferred) such as ISO 14001:2015 Lead Auditor, and NEBOSH Environmental Certificate, and Hazardous Waste Management Certification (e.g., RC Hazardous Waste Permit Awareness). Strong knowledge of Environmental Management Systems (EMS) principles. Environmental management certification. Legal and regulatory knowledge concerning Environmental. A good eye for Environmental and the ability to pay attention to details. A comprehensive understanding of the Environmental Impact Assessments. Skills in training and motivating colleagues. Familiarity with the time reporting system. Strong knowledge of project control. Excellent interpersonal and communication skills. Capacity to identify situations requiring improvement in Environment. Excellent leadership skills and multitasking abilities.

Location: Amsterdam Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. WHAT YOU'LL DO: - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT YOU'LL BRING: 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES: - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience COMPENSATION: €110,000-€185,000 base salary + equity Location: - Netherlands, Amsterdam - Remote with up to 25% travel Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: London Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. WHAT YOU'LL DO: - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT YOU'LL BRING: 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES: - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience COMPENSATION: £100,000-£165,000 base salary + equity Location: - UK, London - Remote with up to 25% travel Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Remote - Singapore Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. KEY RESPONSIBILITIES: - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT WE'RE LOOKING FOR REQUIRED EXPERIENCE 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES: - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience COMPENSATION: $185,000-$260,000 base salary + equity Location: - Singapore - Remote with up to 25% travel Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Remote - Singapore Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: We're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them. You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. You are someone who's built real AI systems for production and can defend the technical tradeoffs within them. KEY RESPONSIBILITIES: - Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance. - Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements. - Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly. - Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment. - Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology. REQUIREMENTS: - 4+ years of software engineering experience with deep expertise in Python. TypeScript/JavaScript a plus. - 2+ years of hands-on experience building and shipping production agent systems. - Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs). - Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory). - Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems. - Comfortable operating across the full spectrum from advisory to embedded delivery. - Willing to travel up to 20% of the time. NICE TO HAVE: - Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face transformers, or TRL. - Experience with trace mining to drive continuous improvement loops COMPENSATION: $185,000-$260,000 base salary + equity Location: - Singapore - Remote with up to 25% travel Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions. Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Remote, Canada; Remote, Israel; Remote, United Kingdom; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Staff Backend Engineer on GitLab's Security Factory: Code Scanning team, you help developers find and fix security issues. Those issues live in the code they write, and you set the technical direction for the static analysis engine that finds them. Your work spans two complementary parts of a complete security analysis. On the engine side, you shape how the static analysis toolkit models a program: parsing source into intermediate representations, resolving symbols, building call graphs, and tracking tainted data across files and languages. You define the architecture and specifications the team builds against, and you delegate component specifications within them to engineers and to the AI agents that implement them. On the evaluation side, you build and apply tooling that tests, measures, and validates what the engine finds against benchmark applications with known vulnerabilities. What the engine can model and how we measure what it finds are parts of one picture. As a Staff engineer you hold that picture, shape the long-range technical goals of the team, and raise the bar for every engineer on it. We build the engine with AI agents that write and review code from written specifications, under human direction. We expect you to direct that work effectively and with good judgment, and to help the team do the same. What you do Act as the directly responsible individual (DRI) for the team's highest-scope initiatives from design through delivery, shipping large features with minimal guidance and shaping the long-range goals of the team Bring systems built by one engineer to team ownership through documentation, tests, and shared review Set the technical direction for the AI-assisted tooling that implements, reviews, and validates engine changes and findings, design the checks that decide whether an agent-written change or generated result is fit to merge, and measure detection quality against benchmark applications with known vulnerabilities, raising the bar for what counts as a trustworthy result. That includes static application security testing (SAST) rules mapped to CWE and OWASP, and the test fixtures that prove they work. Own the architecture of the program model (parsing, symbol resolution, intermediate representations, call graphs, and taint and data-flow analysis) and of the pipeline that turns source code into findings, and define how both extend to new languages and frameworks Solve technical problems of the highest scope and complexity, actively seek out difficult impediments affecting the whole team, and advocate for improvements to quality, security, and performance with Product Management, UX, and partner teams such as Code Security and Composition Analysis Mentor all engineers on the team through code review and pairing, remove blockers to their autonomy, and shepherd the definition and improvement of our internal standards through review Participate in on-call rotations to assist troubleshooting product operations, security operations, and urgent engineering issues Define the overarching architecture and specification documents for the engine, delegate component specifications within them, and drive their implementation by AI agents and engineers working independently through phased plans, small reviewable units of change, and specifications kept in lockstep with the code Build and maintain the harness, agent instructions, and agentic skills that keep agent-written code trustworthy, including separate coding and reviewing agents, rules and tests the coding agents cannot change, independent review panels of agents from different model providers, and performance, API, and dependency gates, with risky changes escalated to human review Stay current with research in program analysis and security, run AI-assisted research and spikes, and turn the findings into prototypes, proposals, and upstream contributions, including responsible disclosure of findings in open source projects What you bring Experience building your own LLM tooling, such as a harness, an agent pipeline, or evaluations, with the judgment to know when output is trustworthy and when it isn't Extensive professional experience writing, testing, and reviewing production code in Rust, Go, or a comparable systems language, with depth in at least one. The engine is Rust, the analyzer wrapper is Go, and the monolith integration is Ruby, and we value willingness to work across them. Experience with performance optimization and with containerized workflows and CI/CD (we use Docker heavily) A deep program analysis and static analysis background, such as parsing and ASTs, intermediate representations (SSA, control-flow and call graphs), taint and data-flow analysis, type inference, incremental and fixpoint computation, or writing detection rules, with the ability to read, evaluate, and apply the research literature Deep application security experience, such as vulnerability research, secure code review, or writing detection rules, and fluency with vulnerability classes (OWASP Top 10, CWE) Demonstrated capacity to communicate clearly and concisely about complex technical, architectural, and organizational problems, and to write architecture and design specifications that bring a team to a decision A track record of taking ownership of ambiguous, team-wide problems and shipping them from concept to production with minimal guidance, with specific, regular async updates on progress, blockers, risks, and next steps Experience defining a system's overarching architecture, delegating component specifications to engineers and AI agents, and getting them implemented reliably A track record of mentoring engineers, raising a team's technical bar, and influencing technical direction by achieving consensus with peers and leadership Helpful experience Familiarity with popular web or mobile application frameworks and how they handle input, data, and configuration Experience designing guardrails for agent-written code, such as mutation testing, fuzzing, and CI gates the coding agent cannot modify A record of engaging with the research community, such as publications, tool papers, or upstream open source contributions in program analysis or security About the team The Security Factory: Code Scanning team develops GitLab's SAST capabilities for customer software repositories. We work closely with the Code Security team on scanning rules & flows, with Composition Analysis on the broader software supply chain, and with other groups across the Sec Section. We rely heavily on asynchronous work across time zones. Remote-Global The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $152,800 — $259,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

The Academic Dean leads the instructional team and is the school's authority on academic standards at MiaPrep Online Academy of Ohio (MOAO), including student conduct, attendance compliance, and academic integrity. Directly supervise instructional staff, holding weekly 1:1s focused on coaching, support, and goal setting.