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Staff Software Engineer | United States | Remote

100% Remote Full-time Open now

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re 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 interested in applicants in USA time zones only at this time. The Opportunity: We're looking for a Staff Integrations Engineer to join our GTM Tools & Technology team — a hybrid role sitting at the intersection of Revenue Operations and internal software engineering. You'll own the architecture and delivery of integrations across our go-to-market stack while building the internal GTM tooling to help us deprecate unnecessary SaaS spend. This is a builder role. You'll write production Python, design data models, partner closely with Revenue Operations and Finance stakeholders, and act as the technical anchor for a team that moves fast. The right person is as comfortable diagramming a CRM data flow as they are shipping an internal application from scratch. This role sits within the GTM Systems team, and you will work closely with the Field Operations team and the System Administrators within GTM Systems. What You'll Be Doing Integrations Engineering Architect and own end-to-end integrations across Salesforce, Snowflake/BigQuery, Slack, Grafana, and billing & finance systems Define and enforce integration patterns, and API standards across the GTM stack Lead incident response and root-cause analysis for integration failures; drive improvements to observability and alerting Partner with Revenue Operations to translate business requirements into reliable, scalable technical solutions Evaluate and rationalize third-party connectors, middleware, and iPaaS tooling against build-vs-buy criteria Internal Tooling & Platform Design and ship internal applications that replace SaaS point-solutions — reducing cost, consolidating workflows, and increasing team leverage Establish a lightweight internal development practice: code standards, CI/CD, deployment patterns, and documentation norms Leverage AI/LLM capabilities (APIs, agentic workflows) to accelerate internal tool development and automate repetitive operations work Maintain a clear deprecation roadmap tied to measurable SaaS spend reduction targets Architecture & Technical Leadership Set the technical direction for how GTM systems share data — defining canonical data models, source-of-truth ownership, and sync strategies Conduct design reviews and provide architectural guidance to engineers, RevOps analysts, and technical stakeholders Identify and remediate technical debt proactively; advocate for engineering rigor in a primarily non-engineering organization We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro). What Makes You a Great Fit 8+ years of software engineering experience, with a strong focus on systems integration and/or internal platform development Expert-level Python — you write production code, not just scripts, Java, and Java Script Deep hands-on experience with Salesforce (data model, APIs, automation) and at least one cloud data warehouse (Snowflake or BigQuery) Proven track record building internal tooling that replaced or meaningfully reduced reliance on commercial SaaS products Solid grasp of data modeling, API design, event-driven architectures, and ETL/ELT patterns Experience integrating billing, finance, or quote-to-cash systems (e.g., Stripe, NetSuite, Zuora, or similar) Demonstrated ability to work autonomously in ambiguous environments — you scope your own work and drive it to completion Strong communicator who can translate technical tradeoffs for non-technical GTM and finance stakeholders Familiarity with GTM platforms like Salesforce, HubSpot, Outreach, Gainsight, or similar CRM/sales engagement tools Bonus Points for: Experience with frontend frameworks & tooling (React, Slack Block Kit, dashboard components) to build user-facing interfaces for AI tools Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, pgvector, or similar) Prior work automating sales, customer success, or marketing workflows in a B2B SaaS environment Experience with workflow automation platforms like n8n, Workato, Prefect, Clay, PhantomBuster, Apify, Dust, or similar tools Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources and tools Exposure to observability tools for AI systems (LangSmith, Weights & Biases, custom logging/evaluation frameworks) Experience working in Revenue Operations, GTM Analytics, or Sales Operations environments Previous experience in open source or developer-focused SaaS companies—Grafana is built on OSS and we value engineers who share that DNA Compensation & Rewards: In the United States, the base compensation range for this role is $174,986 - $209,983. 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: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization 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. Apply To This Job

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Experienced Data Entry Clerk for 17-Year-Olds – Entry-Level Position at Hirevector About Hirevector At Hirevector, we are driven by a mission to be the world's most customer-centric company. We strive to offer our customers the lowest possible prices, the best available selection, and the utmost convenience. Established in 1994, we’ve grown from an online bookstore into a global powerhouse that specializes in e-commerce, cloud computing, digital streaming, and artificial intelligence. Your Opportunity Awaits We are excited to announce our Data Entry Clerk position specifically tailored for 17-year-olds! This is a unique opportunity to start your career with one of the world's leading companies while improving your computer skills and gaining real-world experience. Position Overview As a Data Entry Clerk at Hirevector, you will play a crucial role in our operations by managing various forms of data input and validation. This position is an excellent opportunity for motivated and detail-oriented teenagers looking to build valuable work experience in a fast-paced environment. Key Responsibilities: Accurately enter customer data into our internal systems. Review and verify data for accuracy and completeness. Organize and maintain data files and records. Assist in organizing information and preparing reports. Communicate effectively with team members to resolve discrepancies. Who We Are Looking For This role is perfect for a responsible 17-year-old who is eager to learn and grow. We are looking for candidates who meet the following criteria: Essential Qualifications: Must be 17 years old by the time of application. High School student or recent graduate preferred. Basic computer skills and familiarity with Microsoft Office Suite. Strong attention to detail and organization skills. Ability to work independently as well as a part of a team. Effective communication skills—both written and verbal. Willingness to learn and accept feedback. What We Offer Working at Hirevector comes with unique benefits tailored to help you thrive: Benefits and Perks: Flexible working hours that can accommodate your school schedule. A competitive hourly wage. Professional development opportunities and training. A supportive work environment with a focus on teamwork. Networking and potential career advancement within the company. Diversity and Inclusion At Hirevector, we value diversity and strive to create an inclusive work environment. We believe that the more diverse our workforce, the better we can serve our customers. We are proud to be an Equal Opportunity Employer where everyone can find success. Your Next Steps If you’re excited about the opportunity to gain skills and be part of an innovative team, we encourage you to apply! This position is a fantastic way for 17-year-olds to gain essential work experience and a chance to contribute to a global leader in technology. Career Growth Opportunities At Hirevector, we believe in investing in our employees' growth and development. As a Data Entry Clerk, you will have the opportunity to learn and grow with our company, taking on new challenges and responsibilities as you progress in your career. Work Environment and Culture Our work environment is fast-paced and dynamic, with a focus on teamwork and collaboration. We encourage open communication, creativity, and innovation, and we strive to create a positive and inclusive work environment for all employees. Compensation, Perks, and Benefits We offer a competitive hourly wage, flexible working hours, and a range of benefits and perks to support your well-being and career development. We also provide comprehensive training and professional development opportunities to help you succeed in your role. Conclusion Data entry jobs for 17-year-olds at Hirevector represent a valuable starting point for any young aspiring professional. With the right guidance and opportunity, you can not only develop practical skills essential for your career but also join a company that embraces innovation and creativity. This is your chance to take those first steps toward a bright future. Don’t hesitate—apply today and be part of something bigger! FAQs Q: What is the minimum age requirement for this position? A: You must be at least 17 years old to apply for this position. Q: Do I need prior experience in data entry to apply? A: No prior experience is necessary, but basic computer skills and a willingness to learn are important. Q: What are the working hours for this role? A: The working hours are flexible and can be arranged to fit around your school schedule. Q: Will training be provided? A: Yes, comprehensive training will be provided to ensure you are fully prepared for your responsibilities. Q: What growth opportunities exist within this role? A: There are numerous opportunities for career advancement within Hirevector, especially for dedicated employees who excel in their roles. Apply Now! Ready to take the first step in your career? Apply now for the Data Entry Clerk position at Hirevector and join our team of innovative and dedicated professionals!

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