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Location: Redwood City, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU The Reliability Engineering team at Box ensures our platform delivers world-class performance, scalability, and reliability as we continue to serve millions of users worldwide. As our business grows, so does the complexity of operating distributed systems at scale. Our mission is to proactively identify and solve the hardest reliability and performance challenges across Box’s infrastructure, working closely with product and platform teams to build resilient, scalable, and highly performant services. As a Senior Software Engineer on the Reliability Engineering team, you’ll have a direct impact on the performance and scalability of our most critical services. You’ll partner with engineering teams across the company to analyze complex system behaviors under load, design scalable solutions, and build testing frameworks that validate service reliability before issues arise in production. This role provides a unique opportunity to work broadly across our technical stack and make meaningful contributions to Box’s long-term scalability and customer experience. WHAT YOU’LL DO Partner with product and platform engineering teams to assess service designs for scalability and performance risks, ensuring systems are built for long-term growth. Analyze production workloads, system metrics, and load test results to identify bottlenecks, resource inefficiencies, and architectural scaling limits. Design and build frameworks for load testing, capacity modeling, and performance validation that enable teams to proactively address scale concerns. Drive improvements in backend service efficiency, API response times, and resource utilization across Box’s globally distributed platform. Collaborate with SRE, infrastructure, and platform teams to optimize scaling strategies, auto-scaling policies, and resource allocation. Build automation and tooling that integrate performance validation into CI/CD pipelines, enabling early detection of regressions. Participate in root cause analysis of performance-related incidents, identify systemic issues, and drive cross-team remediation efforts. Contribute to the evolution of observability standards (SLIs, SLOs, latency/error budgets) that measure and guide service health. WHO YOU ARE 5+ years of experience in software engineering, performance engineering, or site reliability engineering, with a focus on backend systems and scalability. Proficient in one or more programming languages such as Go or Java, with an emphasis on building performant services. Strong understanding of distributed systems, concurrency, resource contention, and efficient system design. Hands-on experience analyzing and improving application and system performance across compute, storage, database, and networking layers. Familiarity with load testing and performance benchmarking tools (e.g., Locust, JMeter, Gatling, or custom frameworks). Experience working with cloud infrastructure (AWS, GCP) and container orchestration (Kubernetes). Proficient with observability tools and telemetry systems (e.g., Prometheus, Chronosphere, Grafana, Datadog, ELK). Excellent problem-solving and analytical skills, with a data-driven approach to diagnosing complex system behaviors. Strong collaboration and communication skills; comfortable partnering across engineering teams to drive reliability improvements. PREFERRED QUALIFICATIONS Experience with service mesh technologies (Istio, Envoy) and cloud-native networking performance optimization. Exposure to capacity planning, cost optimization, and long-term resource forecasting in cloud environments. Familiarity with incident response processes, post-incident reviews, and reliability improvement practices. Experience contributing to internal platforms, developer tooling, or performance automation frameworks. METHODOLOGY Agile management - Scrum Issue tracking tool - Jira Knowledge repository - Confluence Code reviews - GitHub Enterprise Version control system - Git EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $198,500 — $248,000 USD

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Software Engineer, (L3) Email About the job This position is a critical engineering role within Twilio SendGrid, requiring a hands-on engineer capable of developing, deploying, and managing highly available, massive-scale distributed systems. Our systems regularly process more than 12 billion emails during peak events like Black Friday, and our throughput requirements continue to scale rapidly. As an L3 engineer, you will act as a key driver of execution within our core services. You will be heavily involved in modernizing our backend systems, optimizing our extensive Go-based microservices, and contributing to the design and reliability of our dual-cloud infrastructure span across Amazon Web Services (AWS) and Microsoft Azure. Responsibilities In this role, you’ll: WEAR THE CUSTOMER’S SHOES: Architect and ship reliable, high-velocity features that handle critical traffic with low end-to-end latency. Partner closely with product management and technical leadership to break down complex system requirements into manageable, iterative milestones. BE AN OWNER (CODE QUALITY): Drive rigorous code reviews and push for maintainable patterns in our Go codebase, ensuring high testing standards (unit, integration, and component testing) are executed across the team. BE AN OWNER (INFRASTRUCTURE & OBSERVABILITY): Manage and enhance cloud configurations across AWS and Azure environments utilizing Infrastructure as Code (Terraform). Ensure deep observability coverage by standardizing metrics, alerts, and distributed tracing across core data pipelines. CHAMPION ENGINEERING HEALTH: Advocate for a clean architectural foundation. Proactively identify technical debt, system bottlenecks, and single points of failure (SPOF), balancing feature delivery with critical platform refactoring. MENTOR AND LEAD: Foster a collaborative environment by mentoring junior engineers, leading technical sprint planning, and sharing expertise across distributed engineering nodes. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Experience: 4+ years of professional software engineering experience building and operating resilient backend services at scale. Modern Development Workflow: Practical experience leveraging AI-assisted development tools (such as Claude Code) to accelerate code generation, automate testing, and streamline debugging workflows. Language Proficiency: Strong, hands-on production experience writing clean, idiomatic, and highly concurrent Go (Golang), Java or Python . Cloud Infrastructure: Solid experience deploying and managing production workloads in cloud environments—ideally with deep exposure to AWS core services (such as EC2, S3, Aurora, or DynamoDB) AND Microsoft Azure equivalents (such as Virtual Machines, Blob Storage, Azure SQL, or Cosmos DB). Infrastructure as Code: Proficiency with Terraform for provision-level automation and maintaining environment parity. Distributed Systems: Strong theoretical and practical understanding of distributed datastores, caching layers, and asynchronous event streaming (e.g., Kafka or similar queuing ecosystems). Systems Mindset: Strong foundational background in computer science fundamentals, data structures, and building self-healing cloud architectures. Desired: Prior experience managing high-throughput applications running inside containerized infrastructure ( Docker, Kubernetes ). Familiarity with database migration pathways (e.g., transitioning traditional on-prem/relational datastores to managed instances like AWS Aurora ). Experience implementing OpenTelemetry or distributed tracing systems across decoupled microservice platforms. Direct experience handling constraints related to network topology, proxy layers, or mail transfer agent (MTA) protocols. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $138,700 - $173,400 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $146,800 - $183,600 Based in the San Francisco Bay area, California: $163,100 - $203,900. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until 12/31/2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Services Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools) Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure Automation & Workflow Enablement Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards. What Makes You a Great Fit 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring You diagnose business problems before writing code. You think in workflows and outcomes, not just functions. Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run) Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders Bonus Points Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector) Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach) Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks) Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow) Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA In the United States, the base compensation range for this role is USD $154,445 - USD $185,334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from Canada. Residents of Quebec are not eligible for this role. The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Services Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools) Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure Automation & Workflow Enablement Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards. What Makes You a Great Fit 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring You diagnose business problems before writing code. You think in workflows and outcomes, not just functions. Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run) Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders Bonus Points Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector) Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach) Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks) Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow) Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA In Canada, the base compensation range for this role is CAD 164,490 - CAD 197,389 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Responsibilities: — Develop clean, efficient, and maintainable frontend code primarily using TypeScript and React for internal tools critical to operations such as inspection, workshop planning, and quality control. — Work end-to-end including backend development in Go when necessary to deliver complete solutions. — Utilize modern development tools including AI-assisted workflows to enhance speed, quality, and impact. — Focus on usability and performance details. — Improve the codebase by making it easier to understand, test, maintain, and evolve. — Manage technical debt through refactoring and system improvements. — Collaborate in a cross-functional team with UX design, product, and engineering. — Participate in code reviews and provide constructive feedback. — Lead by example and empower team members. Requirements: — Minimum 5 years of experience as a frontend engineer with strong software architecture fundamentals. — Proficient hands-on experience with TypeScript and React. — Experience or strong interest in backend development and full-stack problem solving. — Curiosity and pragmatism in using AI-assisted development tools throughout the engineering process. — Good communication skills and a collaborative, product-focused mindset. — Ability to discuss technical and UX solutions. — Advantageous to have experience building systems supporting operational workflows or large-scale internal tools. Benefits: — Not specified in the text.

Location: San Francisco WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products. WHAT YOU'LL DO - Scale document ingestion and processing that is growing at 10x every 6 months - Design massive data collection from over 50+ legal jurisdictions - Build government-level security for top governments and firms - Lead projects that delight customers in bringing AI to web, desktop, mobile, Google Docs, MS Word, and API experiences. - Build AI-platform and AI-native features like agentic orchestration layers, tool calls, and retrieval systems. - Ship across the full stack—leveraging React and TypeScript on the frontend alongside Python and Postgres on the backend—to architect intuitive UX and robust APIs for streaming results, long-running processes, and complex tool-calling workflows. WHAT YOU HAVE - 10+ YoE (post-BS/MS) in a product focused full-stack software engineering role. - Experience with React, Typescript, CSS (we use TailwindCSS), Python, or related. - Track record of building fast-growing SaaS products. - Track record of shipping highly intuitive products, strong attention to detail. - Experience building scalable and extensible solutions across the stack that can support multiple product lines. - Strong programming skills and general Computer Science knowledge. - Grit - experience working at early-stage startups is a plus. COMPENSATION $231,000 - $314,350 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-NG1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Riyadh, KSA Workplace: onsite As a Merchant Onboarding Executive, you will play a key role in onboarding SME merchants across dynamic markets. You will own the end-to-end merchant onboarding journey, ensuring merchants are successfully activated, technically integrated, and fully configured before going live. You will work closely with merchants and internal stakeholders — including Business Development, Risk, Legal, and Product teams — to resolve onboarding blockers, improve conversion rates, and deliver excellent merchant experience. Your focus will be on operational excellence, merchant success, and driving sustainable business growth Key Responsibilities Merchant Onboarding & Activation Own the full merchant onboarding lifecycle from application to activation. Activate merchants and oversee backend integration processes. Ensure merchants are properly configured with the correct access, settings, and dashboards prior to activation. Guide merchants through Tabby's onboarding process and provide support throughout their journey. Merchant Support & Case Management Resolve stalled, escalated, or time-sensitive onboarding cases. Handle daily drop-off applications by: Identifying merchants who stopped during the legal stage. Following up via phone and email. Assisting merchants in completing and submitting required documentation. Manage daily reset applications by: Working with the Risk team to identify document issues. Communicating required corrections to merchants. Following up until successful resubmission. Address merchant concerns, inactivity, and churn to improve onboarding conversion. Cross-functional Collaboration Coordinate with Risk, Legal, Business Development, Product, and other internal teams to remove onboarding blockers. Collaborate with Business Development to improve lead handoff and onboarding workflows. Support internal teams in accelerating merchant activation. Technical & Operational Support Investigate integration issues, including backend and technical errors. Work cross-functionally to implement effective solutions. Support merchants with e-commerce integrations where required. CRM & Performance Management Maintain accurate CRM records and ensure CRM hygiene. Track merchant progress throughout the onboarding funnel. Monitor and report against daily, weekly, and monthly KPIs. Ensure adherence to SLAs and NPS targets. Process Improvement Evaluate pre- and post-website onboarding activities. Monitor merchant transactions and ensure Tabby's online presence aligns with brand guidelines. Contribute to process improvements that increase: Onboarding efficiency Data integrity Reporting automation Cross-functional collaboration Pipeline conversion Skills, Knowledge and Expertise Requirements Good spoken and written English and Arabic Bachelor’s degree, or equivalent experience 1–2 years in a customer-facing role (onboarding, customer success, account management, sales or merchant support) Comfortable making a high volume of calls every day and following up without being chased Basic Excel / Google Sheets Preferred Experience with a CRM (Zoho, HubSpot, SAP or similar) Experience in fintech, payments, BNPL or e-commerce Familiar with Saudi business documents (CR, VAT certificate, IBAN letter, national address) Familiar with e-commerce platforms like Salla, Zid, or Shopify Experience working against KPIs and SLAs

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Intermediate Fullstack Engineer on GitLab's Subscription Lifecycle team within Monetization, you'll build the frontend experiences and backend services customers use to view and manage subscriptions, renew products, configure auto-renewal, and manage billing accounts. Your work will span renewals, overages and reconciliations, subscription visibility, and budget and reservation management, keeping subscription, billing, and account data accurate and reliable. Because these workflows directly affect revenue, customer access, and financial information, you'll use technical judgment, safe and iterative rollouts, and a high bar for reliability and correctness. Some examples of our projects: Building a clear, reliable subscription view across the Customers Portal and related surfaces Improving manual renewal and auto-renewal flows, including supporting emails, banners, and account experiences What you'll do Design and build fullstack features across the post-purchase subscription journey. Contribute to the technical design and implementation of new subscription lifecycle capabilities. Partner with Product and Design to translate renewal, billing account, and customer experience requirements into resilient, well-tested solutions. Integrate subscription lifecycle workflows safely with billing, customer account, and internal admin systems. Write maintainable, well-tested code and follow engineering practices for rollout safety and monitoring. Participate in code reviews and provide thoughtful, constructive feedback. Identify and reduce technical debt and architectural risk in the subscription lifecycle. Participate in incident response for subscription and renewal issues, given their potential impact on revenue and customer access. Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring Professional experience as a fullstack engineer and confidence working across frontend and backend code. Our purchase applications use Ruby on Rails (Must have) and Vue.js. (preferred) or React. Experience owning technical direction for a product area, including proposing, discussing, and driving thorough, iterative solutions. Experience building or maintaining transactional or checkout-style flows, ideally in a billing, ecommerce, or subscription context. Familiarity integrating with third-party billing or customer relationship management systems, such as Zuora, Salesforce, or Stripe, is a plus, not a requirement. A focus on safe, incremental delivery given the revenue and customer impact of this work. The ability to communicate clearly and concisely about complex technical, architectural, and organizational problems and propose thorough, iterative solutions. Written and spoken English proficiency sufficient to collaborate in a remote, largely asynchronous work environment. Alignment with GitLab's values and a commitment to working in accordance with them. About the team The Subscription Lifecycle team is part of GitLab's Monetization section and owns the post-purchase subscription experience. You'll partner with Sales, Finance, Information Technology, and Support on secure, reliable purchasing, billing, provisioning, and utilization workflows, and report to the Engineering Manager, Purchase. The team works asynchronously, with regular planning and retrospectives and shared expectations for deployments, incident management, testing, and rollout safety. GitLab's mission is to enable everyone to contribute and co-create the software that powers our world. The Purchase team's mission is to make it as easy as possible for anyone to buy, add on to, or upgrade GitLab through a single, trustworthy, unified purchase experience. For more on how Monetization works, see the Monetization sub-department handbook . How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being All remote, asynchronous work environment Flexible Paid Time Off Team Member Resource Groups Equity Compensation and Employee Stock Purchase Plan Growth and development budget Parental leave Home office support The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $115,200 — $194,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role: Agents are becoming first-class users of the internet. They sign in, call APIs, deploy code, and act on behalf of people and teams. That raises questions the web was never designed to answer: Who is this agent? Who does it work for? What is it allowed to do, for how long, and how do we know? As an engineer on the Agent Auth and Identity team, you'll help answer those questions. You'll build the systems that let agents and people authenticate, delegate access, and act safely across Vercel and the services our customers connect to. This is foundational work: identity and authorization sit underneath everything we ship, and getting them right for agents will shape how modern software gets built. The scope is intentionally broad. You might spend one quarter designing how credentials are issued and scoped for autonomous agents, and the next building the developer-facing APIs and SDKs that make secure auth feel effortless. You'll own systems end-to-end, from design through long-term operation in production. We're looking for engineers who care deeply about security and developer experience in equal measure, enjoy working on problems without established playbooks, and want to define how trust works in an agentic world. This is a hybrid role based in San Francisco, in the office on Monday, Tuesday, and Friday. What you'll do: Design, build, and operate the identity, authentication, and authorization systems that power Vercel and our Customers for both people and agents. Shape how agents prove who they are, act on behalf of users and teams, and receive scoped, time-bound, auditable access. Build secure, scalable APIs, services, and SDKs that make auth simple for developers and their agents to adopt. Work with modern and emerging standards (such as OAuth 2.x, OIDC, and agent-focused protocols) and help influence where they go next. Lead projects end-to-end: identify opportunities, set technical direction, and deliver improvements in security, reliability, and developer experience. Participate in the on-call rotation, taking responsibility for the reliability of critical systems. What you need: 3+ years of experience designing, building, and operating backend systems in production at scale. Strong proficiency in JavaScript/TypeScript, or a comparable backend language and the willingness to work primarily in TypeScript. Solid understanding of authentication and authorization concepts, such as sessions, tokens, OAuth/OIDC flows, permission models, and secrets management. A security-minded approach to engineering: you think about threat models, least privilege, and failure modes as part of design, not as an afterthought. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow: we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The base pay range for this role is $196,000 – $294,000. Actual salary will be based on job-related skills, experience, and location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: Vercel Connect helps developers give agents and AI-built apps secure access to the data, tools, and events they need—without wrestling with OAuth, credentials, and integration complexity. We’re currently building two things: 1) a platform for managing agent identity, access and permissions and 2) a set of rich connectors for the 1000s of systems (like Linear, Slack, GitHub, Google, etc.) that agents will need to talk to. We’re solving core problems like agent identity and delegated access, tool approval and standards around making agents aware of changes on 3rd party platforms. As a senior engineer on this team you'll not only own our APIs, token infrastructure, authorization, SDKs, and more, but work with external companies to make it easier for developers to build agents that integrate with their products. You’ll need to balance both high uptime and fast performance with flexibility to allow for seamless connection to many systems that weren’t designed with agents in mind. If you’re looking for a role that will put you at the center of how agent identity and credentials work, this is it! This is a hybrid role based in San Francisco, in the office on Monday, Tuesday, and Friday. What You Will Do: Ship provider integrations end to end — auth flows, token exchange, app registration, and the configuration UI — from generic API-key and OAuth presets through bespoke cases like Snowflake Partner Connect, Slack manager apps, and Microsoft Entra. Own and improve our infrastructure (uptime, performance, secure storage of credentials and keys) and developer experience for Connect Work with industry leaders within and outside of Vercel to propose and implement new authentication and authorization protocols for AI era Build and harden event forwarding — signature verification inbound, project-scoped identity outbound, delivered to the right deployment and environment. Make Connect the obvious way to give an agent a credential, extending the SDKs , consent-redirect flow, and framework adapters. Reduce the cost of the next hundred integrations, so most new providers become configuration rather than code. About You: 6+ years building and operating production backend or full-stack systems, with a track record of owning a service or platform surface rather than a feature. You deeply understand your users problems and work in a focused manner to address them, leveling up the product you’re working on over time. Deep, practical understanding of OAuth 2.0/2.1, OIDC, and JWTs — not just wiring up a client library, but reasoning about authorization codes, PKCE, refresh semantics, audience and scope restriction, token exchange, and what each of those actually protects against. A security instinct for integration code specifically — SSRF and DNS rebinding, confused-deputy and mix-up attacks, redirect-URI validation, webhook signature verification, tenant isolation. You've either found these bugs or fixed them. Strong TypeScript, and comfort developing backend and frontend components. Experience integrating with many third-party APIs, an appetite for the reality of it — undocumented behavior, non-compliant OAuth, inconsistent errors — and the judgment to absorb that mess behind a clean abstractions Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $196,000-$294,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Poland Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are looking for an experienced AI Tech Lead with a strong .NET engineering background and hands-on expertise in building production-grade AI solutions.In this role, you will lead the technical direction of an AI engineering team responsible for designing, developing, and operating intelligent capabilities within the Creatio platform.You will work on the AI agent platform that enables AI agents to safely perform real work within enterprise workflows — interacting with tools and APIs, accessing business data, maintaining context and memory, enforcing permissions, and collaborating with humans when needed.This is a hands-on technical leadership role that combines software architecture, advanced AI engineering, team mentorship, and active involvement in development.We are looking for someone who can make architectural decisions, solve complex engineering challenges, introduce modern AI development practices, and help the team deliver reliable, secure, and scalable AI-powered solutions.Responsibilities:Lead the development of architectural solutions, including AI-powered features, agentic workflows, RAG-based solutions, and LLM integrations.Drive continuous optimization of development processes; introduce modern tools, AI-assisted development practices, engineering standards, and quality improvements.Facilitate team ceremonies: backlog refinements, sprint planning, and sprint reviews (demos).Take an active part in backlog execution: pair programming, complex development, code reviews, and mentoring.Collaborate closely with stakeholders and product managers to define technical direction and translate business requirements into technical solutions.Guide the design and implementation of AI agent architectures, including tool calling, orchestration, context and memory management, permissions, and guardrails.Ensure high quality through automated testing, AI evaluations, observability, and continuous monitoring of production AI solutions.Monitor and guide incident response (4th-line support), ensuring SLA compliance and issue resolution.Actively contribute to knowledge sharing, team development, and continuous improvement.Requirements: Must have:6+ years of professional software engineering experience, with strong expertise in C# and .NET.3+ years of experience in a Tech Lead or Team Lead role, including architectural decision-making, technical ownership, and mentoring.Hands-on experience building and delivering LLM-powered applications to production.Strong understanding of AI agent architectures, including tool calling, orchestration, context management, and agent frameworks.Knowledge of prompt engineering, AI evaluations, observability, and AI security best practices.Proficiency with AI coding agents (Claude Code, Cursor, Codex, or similar tools) in daily development.Strong knowledge of software architecture, distributed systems, REST APIs, and backend engineering principles.Experience with relational databases, automated testing, CI/CD, and cloud-native development.English level: Upper-Intermediate or higher, with strong communication, leadership, and problem-solving skills.Nice to have:Experience with MCP, multi-agent systems, and advanced agent orchestration.Practical experience with RAG, embeddings, vector/hybrid search, and LLM integrations.Knowledge of LLMOps practices, including evaluation pipelines, monitoring, and cost optimization.Experience with AI platforms such as Anthropic API, Azure OpenAI, AWS Bedrock, or Google Vertex AI.Python experience for AI development, prototyping, or automation.Experience with Kubernetes, enterprise SaaS products, or low-code/no-code platforms.What to expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Worldwide APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing. Log in using your 20four7VA-issued email address to access the portal. If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below. 💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen! If you're interested in this opportunity, click APPLY TO POSITION to proceed. ******************************************************************** Title: CPT-11562 B2B Cold Caller & Partnership Appointment Setter Independent Contractor – CPT-11562 B2B Cold Caller & Partnership Appointment Setter/Service Category/Entry-Advanced Level (Remote). Overview 20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia. A digital advertising company is seeking a part-time VA to conduct outbound cold calling to branding and web-design agencies to develop referral and service partnerships. The client will initially provide prospect lists and targeting information. The VA's primary responsibility will be to consistently call these agencies, introduce the partnership opportunity, handle initial questions and objections, conduct follow-up, and generate qualified conversations for the client. The company offers advertising services that partner agencies can either provide to their clients using the company as a backend resource or refer directly in exchange for compensation. The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor. Scope of Services Contractors will be required to provide services that align with the following client tasks: Outbound Calling & Follow-Up Conduct consistent outbound calls to branding and web-design agencies Introduce the company's advertising partnership opportunity Follow client-provided scripts while maintaining a natural, conversational approach Handle routine questions and objections confidently Conduct multiple follow-up attempts when prospects are initially unreachable Identify interested prospects and move qualified opportunities to the client Schedule follow-up conversations or appointments when appropriate Position the outreach as a relationship-building and partnership opportunity rather than a hard-sell or traditional telemarketing call. Explain how partner agencies can work with the company by offering its advertising services as a backend resource for their clients or by referring clients directly in exchange for compensation. Maintain a professional, informative, and conversational approach that emphasizes how the company's services can support the prospect's business. Provide prospects with relevant company information, including its website, contact details, and service offerings, to establish credibility and encourage further engagement. Follow up with prospects who express interest but are not immediately ready to schedule a conversation, including arranging callbacks based on their stated availability. Prioritize same-day follow-up after positive conversations and maintain periodic follow-ups, generally once a week for prospects who have not responded, while avoiding excessive outreach. Escalate interested or qualified prospects to the client for direct engagement when further discussion is needed. Lead & Activity Tracking Work from prospect lists initially provided by the client Maintain accurate call logs and prospect statuses Track call attempts, conversations, follow-ups, and outcomes Provide regular updates on outreach activity and results Use Google Sheets initially, with potential transition into HubSpot Assist with prospect research or list building as the role expands Research and build targeted prospect lists of branding, marketing, and web-design agencies, expanding beyond the initial client-provided lists as the role develops. Research prospective agencies to better understand their businesses and identify potential opportunities for service or referral partnerships. Record follow-up dates and agreed callback schedules to ensure interested prospects receive timely and appropriate follow-through. Schedule prospect meetings directly through the client's Google Calendar scheduling link, accommodating either phone or video calls based on the prospect's preference. Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing. Skills The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements: Outbound cold-calling experience required B2B calling or appointment-setting experience strongly preferred Strong spoken English required Objection-handling experience strongly preferred Lead tracking and follow-up experience required Google Sheets experience required HubSpot experience is a plus Marketing agency, advertising agency, or partnership-development experience is a plus IDEAL CANDIDATE PROFILE Confident, energetic, and highly conversational Excellent spoken English and professional phone presence Comfortable making repeated outbound calls Persistent without being overly aggressive Strong objection-handling and rapport-building ability Able to work from a script without sounding scripted Self-motivated and consistent with follow-up Positive, enthusiastic, and comfortable representing a marketing company APPLICATION SOFTWARE KNOWLEDGEABLE / REQUIRED Google Sheets Google Voice or Similar VoIP Platform HubSpot – Experience a Plus Email / Calendar Platforms Work Schedule Contracted Hours per Week: 10 Hours (Hours may increase based on performance and results) Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing) Daily Working Time: Monday - Friday, Approximately 8:00 AM–12 PM EST Initially; Some Morning Overlap Preferred Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW. Terms of Engagement Contractors will operate under a Master Services Agreement and a Statement of Work This is not an offer of employment; contractors are not employees of 20four7VA or any client All compensation is processed through 20four7VA according to the terms of the engagement Role Summary & Requirements REQUIRED SERVICE: Business Support REQUESTED EXPERIENCE TIER LEVEL: Entry, Junior, Senior, and Advanced Level Contracted Hours per Week: 10 hours/week Daily Working Time: Monday - Friday, Approximately 8:00 AM–12 PM EST Initially; Some Morning Overlap Preferred Scheduled Working Days: Monday-Friday REPORTING TO/POC: To Be Determined Number of VAs: 1 GENDER PREFERENCE: None LANGUAGES SPOKEN/PREFERENCE: English ACCENT PREFERENCE:  Level A-B (Native or near-native English accent required) REGION PREFERENCES:  Offshore OR Nearshore What we offer Competitive rates Weekly payments Various open roles are available Free training and upskilling Constant support and guidance A vibrant community always ready to support you And more!

Location: Москва Workplace: Офис, Гибридный Наша команда разрабатывает видеоплатформу, которая помогает множеству команд и продуктов в Яндексе решать задачи, связанные с видео. Благодаря нашим решениям миллионы пользователей смотрят фильмы, сериалы и трансляции в Кинопоиске, слушают любимых исполнителей в Яндекс Музыке и делают многое другое. Наша команда разрабатывает видеоплатформу, которая помогает множеству команд и продуктов в Яндексе решать самые разные задачи, связанные с видео. Благодаря нашим инфраструктурным решениям миллионы пользователей смотрят фильмы, сериалы и спортивные трансляции в Кинопоиске, слушают любимых исполнителей в Яндекс Музыке, изучают обзоры товаров в Яндекс Маркете и делают многое другое. Мы — инфраструктурная команда, которая отвечает за надёжность, устойчивость и развитие платформы. Наша цель — создавать производительную и масштабируемую систему, которая уверенно работает под высокой нагрузкой, растёт вместе с продуктами и обеспечивает пользователям лучший опыт. Обязанности Проектирование больших распределённых систем Это роль для человека, который умеет проектировать и развивать большие распределённые системы, работающие под высокой нагрузкой. Вам предстоит выбирать технологические решения, продумывать устройство сервисов и строить архитектуру, которая будет масштабироваться вместе с платформой. Надёжность, стабильность и производительность Нужно держать в фокусе надёжность и стабильность системы: находить узкие места, разбираться в причинах ограничений и системно улучшать производительность сервисов и инфраструктуры. Развитие инженерных практик и инструментов Вы будете внедрять новые инструменты разработки, развивать общие технические решения для команды, совершенствовать инженерные практики и проводить архитектурные ревью, помогая повышать качество и зрелость платформы. Взаимодействие с другими командами Предстоит тесно работать со смежными командами: обсуждать интеграции, помогать находить устойчивые технические решения и вместе развивать общую инфраструктуру платформы. Больше о том, как мы делаем внутреннюю инфраструктуру Яндекса, — в канале Yandex Infrastructure Требования * Умеете проектировать и развивать сложные распределённые высоконагруженные системы, понимаете, как обеспечивать их масштабируемость, отказоустойчивость и предсказуемую работу под нагрузкой * Умеете видеть систему целиком, принимать сильные технические решения, аргументировать их и задавать инженерную рамку для команды * Имеете сильный технический бэкграунд в backend-разработке на Go * Разрабатывали сложные высоконагруженные сервисы на Go и хорошо понимаете, как их строить и развивать * Умеете работать с надёжностью и производительностью систем * Знаете, как находить узкие места, анализировать поведение системы под нагрузкой и выбирать оптимальные пути её развития и оптимизации * Ориентируетесь в современных технологиях и инструментах разработки * Следите за развитием инженерных практик, умеете выбирать подходящие инструменты под задачу и внедрять их в работу команды * Хорошо знаете базовые алгоритмы и структуры данных, понимаете, где и как применять их на практике при проектировании и разработке сервисов

Проект Проведение полного цикла тестирования нового функционала системы RMS: «Журнал предварительной комплектации» и «Управление СМС-рассылками». Подготовка и выполнение тестовых сценариев, проведение регрессионного тестирования, выявление и документирование дефектов, взаимодействие с командой разработки и аналитиками, участие в автоматизации тестирования.

You’ll take full ownership of the platform architecture and bring the existing system to production. This is a hands-on role: you’ll lead technical decisions and still write critical code yourself, working in a small team with the client’s CEO and AI/ML engineer.

Проект: мобильное приложение под iOS и Android с монетизацией, аналитикой, авторизацией через социальные сети и Firebase backend.

строить и поддерживать сквозную аналитику; проверять работу ивентов и backend-событий;

Location: Москва Workplace: Гибридный О компании МТС Web Services (MWS) — бигтех-компания, предоставляющая облачные, AI-сервисы и платформенные решения под разные задачи бизнеса: от работы с данными до разработки продуктов и оптимизации процессов. Также мы запустили новую публичную платформу собственной разработки — MWS Cloud Platform. MWS Tables – инструмент для организации командной работы и легких автоматизаций без написания кода. Содержит все необходимые инструменты для работы в одном сервисе. Основной продукт - гибкие и настраиваемые таблицы для совместной работы и организации любых данных. Обязанности разрабатывать тестовые сценарии и проводить ручное тестирование интеграционной платформы; писать преимущественно UI-автотесты на Python (Playwright) для автоматизации проверки интерфейса; выявлять дефекты и документировать их в соответствии с принятыми стандартами; взаимодействовать с командой разработки для улучшения качества продукта; изучать функционал системы для эффективного тестирования новых функций. Требования стажировка для студентов 3 и 4 курсов бакалавриата, специалитета или 1-2 курсов магистратуры; уверенное знание Python; понимание основ тестирования (SDLC/STLC, виды тестов, жизненный цикл бага) и умение применять техники тест-дизайна; владение DevTools для анализа сети и консоли, а также опыт работы с API через Postman; понимание процесса сопровождения релизов (от dev до prod); опыт поддержки существующих UI и backend автотестов и опыт разработки новых UI-автотестов на Python; Будет плюсом: Знание Java. Условия график работы 30-40 часов в неделю, стажировка до 12 месяцев; развитие в командах профессионалов и опытный наставник, готовый делиться опытом; мобильная связь за счет компании; подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис строки от МТС, безлимитные мессенджеры и соцсети; специальные предложения от партнеров и скидки от продуктов экосистемы МТС; непрерывное развитие — доступ к курсам и вебинарам корпоративного университета и онлайн-библиотеке; гибридный и удаленный формат в зависимости от локации в рамках РФ.