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Location: Warsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Sofia, Bulgaria; Yerevan, Armenia; Podgorica, Montenegro CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful. Check out our website for more information: https://cloudlinux.com/ Imunify360 is CloudLinux's security suite for Linux web servers: real-time and background malware scanning, automated cleanup, a WAF, runtime PHP protection (Proactive Defense), a database malware scanner, and IP reputation. It runs on hosting providers' shared, VPS, and dedicated servers, so new web-malware campaigns land on our fleet early. We sit on one of the largest labeled corpora of live web-server malware in the industry: files, verdicts, cleanup outcomes, and analyst decisions collected from production hosting servers every day. It already drives our signatures, heuristics, and ML models, and there is far more to get out of it. We are looking for a Senior ML Engineer who will turn that data into detection that ships — classifiers, LLM-assisted triage and generated signatures — and keep exploring new ML/LLM methods against it, measured by the product's false-negative and false-positive rates, not by notebook accuracy. Our dataset focuses on web malware — PHP, JavaScript, HTML phishing kits, infected WordPress and Joomla plugins and themes, database injections — with the context around each file. What you'll work with: Malware samples from production servers, with verdicts and analyst decisions Years of signatures and detection rules Customer-reported false negatives and false positives Runtime behavior of code on live sites Web-attack traffic File metadata and how files spread across servers Cleanup outcomes, including what came back What you will do: The goal is 10x more malware detected at the same or lower false-positive rate. Hand-written rules and faster pipelines will not get there; models trained on our data might. Decide which files on a server deserve a closer look, within tight CPU and memory budgets Tell malicious code from benign at fleet scale and a sensible cost per file Generate detection signatures automatically from new campaigns Catch malware that only looks malicious in context, such as phishing pages and script injections Route each file to the right detection engine Make cleanup precise so sites stay clean afterwards Prove each model improves detection before it ships How we work: You get an experimentation track, GPUs, and a direct line to leadership; in return, you bring numbers, not opinions. Remote-first, async across UTC−5 to UTC+8. Decisions are written down (ADR-Lite) and public by default. Hardware follows evidence: Each training direction starts with dedicated GPUs on our own bare metal; leadership has committed to fund more when the case is made with data. Agentic engineering: Claude and Codex are the default tools, wired to GitLab, Jenkins, Redash, Jira, and Slite through MCP servers. We look at how engineers work with agents — context, specificity, review quality — not only at output. Close to ground truth: You work daily with malware analysts, detection and infrastructure engineers, and the rest of our ML team. Ship gates: No model or build goes out if it raises false positives or false negatives on our past-error sets. Blameless post-mortems within 24 hours. What you'll deliver: You own the path from raw samples to a model in production, and the numbers that prove it helped. First month: A first model trained on production data and measured against today's engines — suspicious-file triage or a metadata model. The evaluation harness in place: splits by time and campaign so families don't leak, and a regression set from past FPs and FNs. By month 3: Several models in production: some in shadow mode building evidence, some live and producing real detections, all gated on the past-error regression set. A training setup that keeps its GPUs busy. A written proposal (ADR) for the detection cascade, with cost per file and hardware needs. By month 12: Models are a main source of new detections, reported as share of new detections and FN-rate trend. Retraining on fresh analyst and FN labels on a fixed cadence. Generated signatures inside the analyst workflow. Two or three parallel training directions that other engineers can run with your tooling. Requirements What you bring: 5+ years building ML systems that ran in production, including 2+ in an adversarial domain: security, abuse, fraud, or spam. Y ou have trained and fine-tuned transformer models yourself — data preparation, tokenizing code, LoRA/QLoRA or full fine-tunes, distillation, quantization — not only called hosted APIs. Classic ML depth: gradient boosting, linear models on sparse features, calibration, class imbalance, and judgement on when these beat an LLM. Evaluation discipline: leakage-free splits by time and family, precision at a fixed false-positive budget, regression sets, and an honest account of why production will differ from offline. Inference cost engineering: you have measured throughput and latency and made a model fit a CPU or memory budget (ONNX, llama.cpp, vLLM, int8/int4). Strong Python, PyTorch and the Hugging Face stack; SQL on large analytical tables (ClickHouse or similar). Familiarity with PHP or JavaScript , or willingness to pick it up working with our malware analysts. You use AI coding agents daily and can show how. English at upper-Intermediate (B2) level or higher , with particularly strong written communication for async work. It is a strong plus if you have: Web malware, webshells, phishing kits or WordPress security experience. Models over code: AST or token features, code LLMs, graph models on program structure. Malware clustering and similarity analysis. Multi-GPU training on your own bare metal; MLflow or Weights & Biases; dataset versioning. Go or Rust, for on-server inference. Published work or talks on ML for security. Benefits What's in it for you? A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Location: Warsaw, Poland; Sofia, Bulgaria; Podgorica, Montenegro; Tbilisi, Georgia; Yerevan, Armenia; Madrid, Spain CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful. Check out our website for more information: https://cloudlinux.com/ CloudLinux Inc. develops the Imunify family of security products , designed to protect hosting environments from a wide range of cyber threats. One of these solutions is Imunify Email , an email security product that protects hosting servers against spam, phishing, and other email-based threats. Imunify Email filters mail on about 5,000 hosting servers. Today the filter is rspamd with rules and a scoring model we train in-house. We are replacing it with a transformer we trained ourselves that runs on the customer's own CPU in under 100 MB and already beats rspamd at every operating point we measured. We are looking for a Senior Machine Learning Engineer to join our team and work alongside the engineer currently responsible for both the existing spam-filtering pipeline and the new ML model. Together, you will drive the development, improvement, and production rollout of our email security technology. What you will do: Train, evaluate, and release spam-detection models: build the corpus, pick the threshold, read the precision/recall report, decide ship or retrain. Build the production side of the new engine in Go: the inference service, the mail-filter integration, the tokenizer, the streaming message parser. Fix detection quality end to end, from a customer's "this phishing got through" to a rule, a corpus fix, or a retrain, with the false-positive cost weighed against the catch. Keep the corpus tooling and training infrastructure running. Review and approve classifier, rule, and model changes, so no release waits on one person. Answer partner engineers who ask why a message scored the way it did. Write specs, handbooks, and post-mortems. That is how this team transfers knowledge. Your first six months: Month 1: you ship a rule-model release on your own. Month 3: your first piece of the new engine is merged and running on staging. Month 6: a model release goes out while the principal engineer is away. Requirements What you bring: 5+ years of shipping detection or classification systems where false positives have a cost you had to defend: anti-spam, anti-phishing, anti-malware, fraud, abuse. You have taken at least one ML classifier to production yourself: corpus construction, threshold selection, error analysis. Hands-on transformer training in PyTorch: tokenizers, masked-language pre-training, fine-tuning, ONNX export, CPU inference measurement. Linux, shell, and Python on shared servers and a shared GPU. Daily usage of AI coding agents and tools. English at upper-Intermediate (B2) level or higher , with particularly strong written communication skills for technical documentation, specifications, and code reviews. Your specs and merge-request descriptions count as much as your code. It is a strong plus if you have: Email internals: SMTP, MIME, transfer encodings, SPF / DKIM / DMARC, how Exim, Postfix, and Dovecot handle mail to a filter. Experience in creating embedded models Go or Rust for systems code: parsers, streaming, memory budgets, concurrency. rspamd or SpamAssassin internals: rules, composites, Lua plugins, mass-check scoring. Multi-million-sample corpora, labelling pipelines, annotator tooling. Small models for constrained hardware: quantization, distillation, latency budgets. LLM-based labelers or validators for scaling annotation. Hosting panels: cPanel, Plesk, DirectAdmin. Benefits What's in it for you? A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Location: Warsaw, Poland; Prague, Czechia; Sofia, Bulgaria; Bucharest, Romania; Madrid, Spain; Tbilisi, Georgia CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful. Check out our website for more information: cloudlinux.com Imunify360 Security Suite is an innovative security solution designed specifically for shared and VPS/Dedicated servers. The automated, easy-to-use solution with the six-layer approach to security delivers comprehensive and complete attack prevention. We are looking for a Lead Security Engineer - Vulnerability Response to join our Web Protection Team. The challenge ahead When a critical vulnerability in a popular web application or WordPress plugin goes public, attackers start exploiting it within hours. Most site owners can't patch that fast. We want our customers protected before the first attack reaches them, and we want them to know it. That's the challenge we're hiring for: AI-driven vulnerability response. Build and run a pipeline that detects new high and critical vulnerabilities, generates WAF rules with AI assistance, validates them, and ships them to production in a short window. Protection plus public announcement, both automated. The same pipeline that ships the rule also produces the public advisory. Every critical vulnerability we cover is announced soon after the rule ships, so customers and the market see that Imunify closed it first. Build on what works. An AI-assisted pipeline already runs for our WordPress protection plugin. The first big project is to extend this approach to ModSecurity/Coraza WAF rules. Speed without breaking sites. On shared hosting, a rule that blocks legitimate traffic is a customer incident. Fast and precise both matter. Make it measurable. Time-to-protection, coverage of critical vulnerabilities, and false-positive rate are the numbers this role owns. About the role You will own the vulnerability response pipeline end to end and be its main builder. You combine deep web application security expertise with strong automation skills, and you think about the product: what customers need, what to measure, what to build next. You'll lead a small team of security analysts and work closely with automation, QA, and marketing. What you'll do Design and build the AI-driven pipeline from disclosure to announcement: vulnerability intake, triage, rule drafting, testing, release, and the public advisory. Lead the extension of our existing WordPress-plugin pipeline to ModSecurity/Coraza rules. Write and review WAF rules (ModSecurity/SecLang) for real-world web vulnerabilities. Build test harnesses that check rules against exploits and real traffic before release. Lead and mentor security analysts: set priorities, review their work, remove blockers. Define and track time-to-protection, coverage, and false-positive rate, and improve them. Automate advisory generation as part of the pipeline, and agree the format and review flow with marketing. Requirements What we're looking for: 5+ years in web/application security: vulnerability research, detection engineering, WAF engineering, or similar. Deep understanding of web attack classes (SQLi, XSS, RCE, auth bypass, path traversal, file upload, deserialization) and how to detect them in HTTP traffic. Hands-on experience writing WAF rules (ModSecurity/SecLang, OWASP CRS, or similar) and regular expressions. Able to read PHP code and understand a vulnerability from an advisory or a patch diff. Strong Python: you've built automation pipelines that run in production. CI/CD and automated testing. Hands-on daily use of AI/LLM tools; you know where to trust them and how to verify their output. Proven track record of leading a technical project end to end. Product mindset: you reason about customer impact, not only technical correctness. Upper-intermediate English or better. Nice to have: WordPress ecosystem security: plugin vulnerabilities, vulnerability feeds (Wordfence, Patchstack, WPScan), CVE credits or bug bounty. Coraza or other WAF engines. Exploit analysis or threat intelligence background. Linux server administration, hosting industry. Personal skills: Strong ownership: you take a goal, not a task list. See the whole process and find the bottleneck, not only fix individual issues. Communicate clearly and raise risks early. Calm under pressure: critical vulnerabilities don't wait for working hours. Comfortable making decisions with incomplete information. Benefits What's in it for you? A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Location: São Paulo, Brazil; Buenos Aires, Argentina; Bogotá, Colombia We are hiring in Latin America! 🟢 At Dev.Pro, a US-based outsourced software development company, we're looking for contractors to join our global team of IT professionals helping tech companies scale their business through software engineering expertise. Operating as a remote-first company, our experts work across 55+ countries on five continents, giving us the flexibility and skillset to deliver high-quality engineering for projects of any size or complexity. We invite an Intermediate IT Specialist to join our team and support a US-based executive’s technical environment and ongoing projects. You’ll troubleshoot issues across Windows systems, AWS, networking, and other tools, take ownership of technical tasks, and guide Junior IT Specialists. You’ll also help build and run services with Claude, starting with a voice prescreen pilot – a real-time Python service running on a GPU server in AWS. 🟩 What's in it for you: Build and run services for a US-based executive, solving practical problems through hands-on technical work Take ownership of technical projects, guiding Junior IT Specialists and helping them deliver their work correctly Strengthen your skills in Python, Linux, AWS, networking, and AI tools like Claude ✅ Is that you? 3+ years of hands-on experience in IT, systems administration, software development, DevOps, or a related technical role Windows administration with PowerShell, including services, scheduled tasks, the registry, the firewall, Windows Update, and Defender Hands-on Python experience for writing, debugging, and maintaining code Practical experience with Linux AWS administration experience, including EC2, IAM, S3, Systems Manager, Service Quotas, budgets, and billing alerts Working knowledge of IAM roles, users, JSON policies, and least-privilege access Experience troubleshooting connectivity and remote-access issues Knowledge of DNS and email records (SPF, DKIM, and DMARC) Google Workspace administration, including mail routing, groups, shared drives, and third-party app access Experience administering password managers, such as 1Password, including vaults, service accounts, and CLI tools Experience with MDM and EDR tools, such as ManageEngine and SentinelOne Experience using Git to manage code changes and investigate issues Upper-Intermediate English level, with the ability to provide clear updates on completed work, results, and outstanding issues Strong security practices, including least-privilege access, safe handling of credentials, and backing up before making changes Ability to follow written procedures, document work accurately, and escalate issues when needed Sound judgment in handling sensitive changes, seeking approval, and explaining trade-offs clearly Clear, calm communication and the patience to work effectively with executive stakeholders Desirable: Experience supporting macOS Experience supporting executives or VIP users Familiarity with backup tools such as MSP360 or CloudBerry Experience with Google APIs (Drive, Sheets, Gmail) and OAuth scopes Familiarity with Playwright for browser automation and Cloudflare for anti-bot protection Experience with GPU cloud instances or AI/ML infrastructure Familiarity with Claude or other AI-assisted development tools HubSpot or Jira Service Management administration experience AWS or Google Workspace certification 🧩 Key responsibilities and your contribution In this role, you’ll own technical work across the executive’s environment and ongoing projects. Build, run, maintain, and troubleshoot services for the executive’s ongoing projects Administer AWS resources and services (EC2, S3, IAM, Systems Manager, and billing alerts) Administer Google Workspace, 1Password, and other SaaS platforms Configure and troubleshoot network and remote-access tools, including VPNs, proxies, RDP, and DNS and email records Administer and troubleshoot endpoint solutions like ManageEngine and SentinelOne Read and debug Python scripts, using Git to manage code changes and investigate issues Manage technical tasks independently, taking ownership from investigation through resolution Use AI assistants to investigate issues, write and troubleshoot scripts, and draft responses, verifying their output before use Guide Junior IT Specialists and help ensure tasks are completed correctly Communicate directly with the executive and Security team, provide clear updates, explain technical trade-offs, and obtain approval before making sensitive changes Maintain accurate task records, including actions taken, results, and outstanding issues Follow security procedures, protect credentials, use least-privilege access, back up before making changes, and check with Security before changing security settings Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Offer Interested? Find out more: 📋How we hire 💻 LinkedIn Page 📈 Our website 💻IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: Poland; Armenia; Azerbaijan; Georgia; Serbia; Estonia Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Python Team Lead to join our dynamic team on a full-time basis. About the Client Our client is an international provider of intellectual property services and technology solutions, helping businesses protect and manage innovations through patent translation, international filing, patent research, and renewal services. About the Project The project focuses on replacing complex, labour-intensive backend business processes with Python-based automation and LLM-powered solutions. You will join as the first engineer and Team Lead of a growing contractor team, establishing the technical foundations and helping shape how the team works and delivers. You will collaborate closely with an AI & Automation Product Manager with experience at Meta, turning business challenges into practical solutions. This is a hands-on leadership role requiring strong Python expertise, excellent communication skills, and the confidence to take ownership of problems from discovery through production. Responsibilities Lead the technical delivery of automation initiatives, taking responsibility for solution quality and delivery outcomes. Work closely with the Product Manager and business stakeholders to understand existing workflows, clarify requirements, and define priorities. Translate complex business problems into actionable technical plans and clearly scoped tasks. Design and develop Python services, automated workflows, and integrations with existing systems and APIs. Apply LLM capabilities where they provide measurable value, with appropriate validation and human review. Establish engineering standards, development practices, and a collaborative team culture. Guide and mentor engineers, delegate responsibilities, and provide constructive feedback and code reviews as the team grows. Proactively identify risks, resolve blockers, and communicate progress and trade-offs clearly. Lead technical discussions, handle disagreements constructively, and help stakeholders reach informed decisions. Ensure solutions include appropriate testing, monitoring, error handling, and production support. Requirements Strong commercial experience building and maintaining production systems with Python. Proven experience leading an engineering team while remaining actively involved in technical design and development. Excellent interpersonal and communication skills, including active listening, constructive feedback, and effective conflict resolution. Strong ownership: the ability to independently drive problems from initial investigation to a working production solution. Experience collaborating directly with Product Managers and business stakeholders, translating business goals into technical delivery. Ability to organise team workloads, delegate effectively, support engineers, and maintain accountability for commitments. Experience delivering backend automation, system integrations, or solutions that replace manual business processes. Practical experience integrating LLMs into applications or automated workflows. Strong backend engineering fundamentals, including APIs, databases, data processing, and reliable error handling. Experience with automated testing, Git, and production deployment practices. Ability to work effectively with evolving requirements, make pragmatic decisions, and explain technical trade-offs. Strong spoken and written English, sufficient to lead discussions, clarify complex requirements, and confidently challenge assumptions. Nice to Have Experience building a new engineering team or establishing delivery processes from scratch. Experience interviewing and onboarding engineers. Experience with document processing, information extraction, or document-heavy workflows. Experience evaluating LLM outputs for accuracy, reliability, latency, and cost. Experience with workflow orchestration, background jobs, and asynchronous processing.

Location: Dubai, United Arab Emirates M1 CONSTRUCTION L.L.C is seeking a qualified Structural Engineer to join our engineering team. The successful candidate will be responsible for assisting in the design, analysis, and supervision of structural elements in construction projects to ensure safety, reliability, and compliance with industry standards. Key Responsibilities: Assist in structural design calculations and prepare design drawings for various projects. Review and interpret engineering documents, plans, and specifications. Collaborate closely with architects, contractors, and project managers to ensure integrated project execution. Conduct site visits to monitor construction activities and ensure compliance with design specifications. Support preparation of technical reports and project documentation. Assist in resolving any technical issues related to structural engineering during construction. Requirements Bachelor’s Degree in Civil or Structural Engineering. Minimum 3 years of experience in structural engineering roles, preferably within the UAE construction industry. Knowledge of local building codes, regulations, and standards. Proficiency in structural analysis and design software such as STAAD Pro, ETABS, or equivalent. Strong skills in AutoCAD and other drafting tools. Good communication and teamwork abilities. Benefits - Visa provided - Health Insurance provided - Competitive salary

Location: Dubai, United Arab Emirates We are seeking a proficient Mechanical Design Engineer to join our engineering team. The candidate will be responsible for designing, developing, and optimising mechanical systems and components for various construction projects, ensuring compliance with industry standards and project specifications. Key Responsibilities: Develop detailed mechanical designs, drawings, and specifications for HVAC, plumbing, and other mechanical systems. Use CAD and BIM software (AutoCAD, Revit, SolidWorks) to prepare layouts and 3D models. Collaborate with multidisciplinary teams to integrate mechanical designs with architectural and structural layouts. Conduct engineering calculations and simulations to verify design viability and performance. Review and revise designs based on project requirements, codes, and client feedback. Ensure all designs comply with local regulations and industry standards. Coordinate with contractors, and suppliers to support project execution. Participate in site visits to monitor installation and resolve design-related issues. Requirements Bachelor’s degree in Mechanical Engineering or related field. Minimum 5 years of experience in mechanical design engineering, preferably in the construction industry. Proficiency in CAD and BIM software such as AutoCAD, Revit, and SolidWorks. Strong knowledge of mechanical systems including HVAC, plumbing, and fire protection. Familiarity with local building codes and regulations. Excellent analytical, problem-solving, and communication skills. Ability to work collaboratively in multidisciplinary teams and manage multiple tasks effectively. Previous experience with a consultant. Benefits Competitive salary. Official UAE employment status. Comprehensive medical insurance coverage.

Администрирование и настройка Linux-систем (RHEL, CentOS, Debian, Ubuntu); Подготовка инфраструктуры под задачи различных проектов;

Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: You'll be the product manager for our Canvas and Agentic AI teams - the teams building Honeycomb's AI-powered investigation experience. Canvas lets engineers use natural language to query, visualize, and understand their production systems. We're pushing well past chat: we're building Skills (pre-configured workflows that encode domain expertise into repeatable, executable actions), Auto-Investigations (agent-driven investigations that kick off before a human gets paged), and a rearchitected Canvas that's both interactive and collaborative. You'll work in a tight triad with engineering and design leads, owning the roadmap for how AI shows up in Honeycomb, from the product UI to our MCP server. You'll partner with our Director of AI Strategy, Research & Development teams, and our customer-facing teams to stay grounded in what customers actually need while pushing toward something meaningfully different from what exists today. This is a role for someone who can hold both execution and ambiguity: shipping production features while navigating a product space where the right answers are still emerging. What you’ll do in the role: Define AI product strategy in service of Honeycomb's vision Synthesize AI trends, customer needs, and technical capabilities into clear strategic recommendations Help the product organization understand where and how AI creates genuine customer value vs. where it's hype Identify emerging observability challenges created by AI adoption (e.g., LLM drift, prompt regression, low-context generated code) Make informed bets about which AI technologies and approaches warrant investment Conduct research that bridges technology and customer reality Build deep understanding of how customers are adopting AI in their engineering workflows Identify patterns across customer conversations that signal future market needs Stay current with AI/ML developments (RAG, fine-tuning, agentic systems, etc.) and translate implications for observability Engage with technical communities, researchers, and early adopters to spot trends before they go mainstream Enable AI innovation across the product portfolio Partner with product teams to identify high-value opportunities to leverage AI capabilities Provide guidance on AI approaches, trade-offs, and best practices without centralizing all decisions Help teams understand how their work fits into our broader AI strategy and how to leverage shared capabilities Synthesize cross-portfolio learnings and socialize what's working (and what isn't) Evangelize the AI-observability connection Articulate Honeycomb's point of view on AI observability both internally and externally Help customers understand how observability needs evolve as they adopt AI Contribute to thought leadership through writing, speaking, and community engagement Build credibility with technical audiences who care deeply about how we use AI, not just that we use it What you’ll bring to the role: Proven AI product experience 5+ years in product management with at least 1+ year shipping AI/ML-powered products Track record of taking AI features from concept to customer impact, including things that didn't work Deep understanding of how engineering teams actually build, deploy, and operate AI systems (not just theoretical knowledge) Familiarity with current AI/ML techniques and the judgment to know when they're applicable vs. overhyped Strategic thinking with customer empathy Ability to synthesize disparate signals (research, customer feedback, technical trends) into coherent strategy Comfort operating with ambiguity and making decisions without perfect information Pattern recognition across conversations—spotting what customers aren't yet saying clearly Strong judgment about when to say "no" or "not yet" despite exciting technology Technical credibility without needing to be the expert Enough technical depth to have earned respect from engineers and architects Genuine curiosity about how things work, paired with humility about what you don't know Ability to evaluate trade-offs between different AI approaches (RAG vs. fine-tuning, model selection, etc.) Understanding of observability principles and why they matter in production systems Communication and collaboration skills Excellent written and verbal communication—can explain complex ideas clearly to varied audiences Ability to influence without authority across product, engineering, and go-to-market teams Comfort presenting to customers, executives, and technical audiences Collaborative mindset that elevates others' work rather than centralizing control Curiosity and learning orientation Demonstrated ability to stay current in fast-moving domains (AI is evolving weekly, not yearly) Intellectual humility—you're more interested in learning than being right Excitement about the intersection of AI technology and real customer problems Energized rather than exhausted by the pace of change in AI Base Salary based on level of experience $198,500 — $233,500 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: San Francisco; New York City Workplace: OnSite The charter of Perplexity’s Core Experience team is to create a cohesive, intuitive, and delightful user experience by integrating cutting-edge AI capabilities and research into a unified system. The Core Experience team works closely with product design teams to ship a world-class web app that’s used by millions of people every day. We imagine and build the interfaces through which people experience the promise of AI. We are seeking a talented engineer with an uncompromising dedication to the craft of frontend web development. You’ll help us to define the future of human-agent collaboration: establishing intuitive mental-models, patterns, and state-representation. You’ll work closely with design to prototype, architect, and engineer novel interfaces for interacting with AI collaborators. WHAT YOU’LL DO - Build and ship polished, high-craft, intuitive web interfaces - Constantly improve high-visibility surfaces like agent chat threads, artifact editing, and message composition - Partner directly with design to turn visionary ideas into production implementations - Solve complex problems across architecture, state-management, animation, and performance-optimization - Collaborate with capabilities and research teams to synthesize the latest research into coherent production experiences - Support other product teams by designing reusable libraries and SDKs to maintain a high quality-bar across all surfaces of the product WHAT WE’RE LOOKING FOR - Strong proficiency in modern web technologies: React, TypeScript, CSS, etc. - Exceptional taste: relentless attention to detail, from aesthetics to performance to code-quality - Comfortable owning projects end-to-end, working at high velocity in an ambiguous environment where the industry changes by the day - Keen product sensibilities: being able to reason about what will work, what won’t, and articulate why - Customer obsession: always thinking about how what you’re building will touch the person on the other side of the screen

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE How we build software is changing. Designers are prototyping in code, engineers are shipping polished interfaces, and agents are starting to build directly into the product. More people and more things can create software than ever before. That makes design judgment more important, not less. We're looking for a Staff/Principal Founding Design Systems Lead to build that judgment into Render's foundations. This isn't about maintaining a component library. It's about enabling designers, engineers, and agents to build experiences that look, feel, and work like Render, without a designer making every decision or the design systems team reviewing every change. At a company whose whole promise is a platform that just works, the design system is how we keep craft scaling as the product and the team grows. This role starts hands-on. You're a designer first, with the technical depth to get into the code. You'll partner with the Head of Design to set the vision, then do the foundational work yourself: decide where or whether our Figma library lives and how it operates, get deep into what an AI-ready design system really means, and prototype, test, and ship the system in code. As the function grows, you'll build and lead the team around it. You're energized by building from the ground up, not inheriting something finished. Here's what makes this role urgent and specific to us: our users are developers, and they're increasingly building with AI agents. That cuts both ways. Inside Render, teams reach for an agent before they check the docs — so a system that isn't legible to AI quietly gets bypassed, and quality drifts toward generic output. And externally, we're building the platform where developers deploy AI-native apps and agents. The person in this role treats the design system as infrastructure for humans, machines, and velocity and has a point of view on what that takes: machine-readable documentation, system rules exposed where agents can read them, an architecture that keeps the brand and accessibility layers ours, and evaluations that catch drift before it ships. This role reports to the Head of Design. THIS ROLE IS FOR YOU IF YOU'RE EXCITED BY: Making great design reproducible, by people and agents. Raise the quality of Render's product and encode what makes it good, so a designer, an engineer, or an agent can produce coherent, usable experiences by default. The system should make excellent work easier, not make every experience look the same. Reimagining what a design system can be. Build beyond components and tokens into composition rules, interaction patterns, agent-readable guidance, and evaluations, so the fastest way to build is also a path to great quality. Building and leading a team that multiplies everyone else's impact. Start hands-on, then create the direction, ambitious goals, and caring-but-demanding environment that let a team do the best work of their careers. The opportunity is to raise the floor for everyone building at Render, human or agent, while giving designers more room to make the most important experiences extraordinary. WHAT YOU'LL DO - Set the system's vision and direction. Decide what to preserve, evolve, simplify, or replace based on what builders and customers need — and turn that into focused work, much of which you'll do yourself at first. - Build the foundations hands-on. Early on, you are the team: setting the architecture, shipping the components, writing the guidance, and establishing the quality bar through your own work before there's anyone to delegate to. - Build and lead the team that owns the system. As the function grows, hire and develop it — set priorities and ownership, give direct feedback, hold a high bar, and help people do the best work of their careers. - Elevate Render's visual and interaction design. Raise the bar for typography, hierarchy, density, motion, responsive behavior, accessibility — and the states beyond the happy path, which is where developer tools earn their reputation. - Make the system legible to AI, not just humans. Lead the work to make Render's design system AI-ready: machine-readable documentation, system rules and tokens exposed where agents can reach them (e.g. via MCP), and an architecture that shrinks the context an agent needs while keeping the brand and accessibility layers ours. The goal: agents building on Render produce on-brand, compliant work by default. - Guide technical architecture with engineering. Shape everything from components and tokens to how agents discover guidance and check their work. Make sound tradeoffs between flexibility, coherence, performance, and ease of use — layered and headless where that scales better than rigid bundles. - Define and measure quality, including AI output. Build repeatable evaluations grounded in real tasks — testing generated output against the system's standard, not just whether people use the tools. - Earn adoption. Work alongside product teams, teach through examples, and turn recurring questions and exceptions into improvements. A system lives or dies on whether people, and their agents, reach for it. - Keep moving as the ground shifts. Experiment as models and tools evolve, share what you learn, and change direction when the evidence calls for it. WHAT WE'RE LOOKING FOR - A track record of setting direction and delivering outcomes in design systems or design engineering — and the appetite to build a function from the ground up before leading a team. You create clarity in ambiguity, make decisions, give difficult feedback, and keep momentum without dropping the quality bar. Experience leading or developing designers/design engineers is a strong plus, as this role grows in that area. - Exceptional visual and interaction design skills. Your work shows a clear point of view, detail that borders on obsessive, and an ability to make complex experiences feel simple — the kind of craft other practitioners admire. - Deep systems thinking, and experience building systems other teams actually adopt. You can show how your work improved both their speed and the quality of what shipped — not just that it existed. - Strong technical fluency. You can prototype and build in code, understand front-end architecture (component API design, tokens, theming, layered/headless patterns), and work through implementation tradeoffs with engineers — not just hand off specs. - Hands-on use of AI in your work, and a real point of view on AI-ready design systems. You understand where AI helps and where it fails, how to improve its output rather than accept it, and what it takes for a system to serve machines as well as humans. You don't need to have shipped all of it, but you should be able to say where you'd start and why. - Strong product judgment and developer empathy. You stay close to the people who use what you build and connect system decisions to real workflows and outcomes. Fluency with developers and technical products is a strong plus — our users are engineers, and the system has to serve them and the agents they build with. NICE-TO-HAVES - Experience building developer tools, cloud platforms, or infrastructure products where UX is a competitive advantage. - Hands-on experience making a design system AI-ready: machine-readable documentation, MCP or similar agent access, layered/headless architecture, or evaluation frameworks for AI-generated output. - Experience building developer or designer tools that became part of other teams' daily workflow. - Experience leading a major design-system migration or a company-wide change in how teams build. - Experience evolving a system across platforms, or connecting product and brand experiences. - Founder or early-stage startup experience. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Remote - US About the Job: LaunchDarkly is the runtime control plane for the AI software development lifecycle (AI-SDLC). Thousands of engineering organizations, including more than a quarter of the Fortune 500, use LaunchDarkly to ship, measure, and control every change that reaches production, whether it is written by people or by AI. Feature management built the company. The next chapter is bigger: as the cost of writing code falls and the volume of change outpaces human review, the constraint is moving from writing software to controlling it. LaunchDarkly is building the critical infrastructure for the AI-SDLC. Customers build their own software factories. We build the rails they run on. We are hiring the leader of Product Management for LaunchDarkly. Reporting to the Chief Product Officer, you will own the product management organization end to end: the people, operating system, roadmap commitments, and commercial outcomes across every product pillar. You will sit at the technology leadership table as the Product Management peer to the heads of Engineering and Product Design. The CPO sets the company’s product vision and strategic direction. You will build and run the product organization that turns that direction into a coherent portfolio, shipped outcomes, customer adoption, and revenue growth. This is a hands-on operating role for a product leader who knows how to build the machine, make the tradeoffs, and finish the work. Responsibilities: Lead cross-functional product leadership. Serve as the product counterpart to Engineering, Product Design, Marketing, Sales, Customer Success, and Finance. Resolve cross-functional tradeoffs, establish shared commitments, and ensure LaunchDarkly presents one coherent product strategy to customers and the market. Build and lead the product management organization. Design the organization intentionally, allocate resources effectively, maintain a high talent bar, build succession plans, and establish clear ownership for every product surface a customer or sales representative may ask about. Own the product operating system. Establish the cadence that turns strategy into shipped software and met goals, including quarterly commitments, leadership reviews, squad-level inspection, launch briefs, new product introduction (NPI), and the product-to-field handoff. Make execution predictable enough that the executive team does not have to ask whether something shipped. Drive roadmap delivery across every product pillar. Lead execution across Enterprise, Foundation, Observability, Experimentation, Agent Control, Automation, and the platform beneath them. Build a culture of doing what we say we are going to do. Create portfolio discipline without slowing the company down. Ensure new bets enter the portfolio through explicit decisions rather than hallway conversations, while preserving the flexibility to respond to market changes. Marketing dates should be commitments the product organization can confidently support. Drive finishing. A product is not done when version one ships; it is done when the team has iterated based on learning. A launch is not done when it ships; it is done when the field is amplifying it. A process is not done when it is written; it is done when it creates leverage for the team. Own packaging execution and commercial outcomes. Lead how pricing and packaging land in the product and in the field so every representative can sell the full platform and every pillar contributes to its commercial goals. Stay close to customers and the field. Spend time with the largest customers and most demanding evaluators, translate what you learn into product decisions, and build a process that brings customer and field insight into the roadmap at scale. Use AI to increase product and engineering leverage. Help the organization adopt AI-assisted development and product practices in ways that increase delivery speed while maintaining quality and judgment. What Success Looks Like in Your First Year: The organization is complete. The leadership model is in place, product lines have the right pillar leadership, spans and layers are intentional, decision rights are clear, succession risks are understood, and the organization can continue to scale. Delivery increases every quarter. Shipped output per team rises quarter over quarter as AI-assisted development compounds, with quality holding. The operating system runs without the CPO driving it. Reviews, check-ins, launch briefs, and NPI happen on cadence and at a consistent bar. The portfolio is staffed. Every initiative in flight has an explicit staffing decision and plan behind it. The numbers move. Activation, attach, activity, and expansion targets for each pillar respond to the organization’s inputs. The team is stronger than you found it. Product managers have more leverage, complementary strengths are valued over a uniform mold, and every hire raises the bar. About You: You are direct, decisive, and high-agency. You identify a problem, propose a fix, and act unless someone tells you not to. You are a relentless simplifier, not a caretaker. When you find friction, your instinct is to remove process rather than add it. You know how to run a company of this size like a small company that ships. You are a builder of people and move quickly on people problems. Product leaders who have worked for you say you made them better and would work for you again. You raise the bar clearly, promote based on evidence, and do not allow known performance problems to persist. You are comfortable challenging a strategy and turning it into a sequenced portfolio. You can tell the story of an idea you pushed back on, how you used evidence to make the call, and how you maintained the relationship. You write clearly and make decisions. You use written argument to create alignment, expect strong writing from your team, and end meetings with a decision. You are customer-oriented and commercially grounded. You can move from a conversation with a developer or data scientist to a discussion with an executive buyer or sales leader without losing the thread. Qualifications: Minimum of  15+ years of experience in Product Management, including 7+ years leading Product Managers and product leaders across a multi-product B2B platform . Experience leading Product Management at the VP, SVP, or equivalent level across a multi-product B2B platform. Experience leading a product management organization of 20 or more product managers at a company with approximately $100M to $500M in revenue. A track record of building and developing a product organization, rather than simply inheriting one. Demonstrated ability to turn company strategy into a reliable operating system that delivers roadmap commitments and measurable business outcomes. Experience working with a founder or visionary executive and converting a high volume of ideas into a sequenced, resourced portfolio. Experience building products for engineering organizations and selling to CTOs, platform leaders, and data science teams. Strong commercial fluency, including experience owning or materially influencing pricing, packaging, attach, expansion, and go-to-market execution. Experience balancing enterprise and self-serve motions, including an understanding of what drives a large enterprise expansion and what creates value for a developer on a free plan. Practical experience using AI agents in your own work and applying AI-native approaches to product management or software development. You should have clear opinions about how AI changes product management, supported by things you have shipped. Demonstrated ability to lead through ambiguity, make decisions with incomplete information, and improve delivery speed without compromising product quality. Pay: Target pay ranges based on Geographic Zones* for Level E1: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $424,000 - $583,000 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $381,600 - $524,700 * Zone 3: All other US locations - $360,400 - $495,550 * All Zones Inclusive of 25% Bonus Target LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Remote, Maryland, United States; Remote, Massachusetts, United States, AMER; Remote, New Jersey, United States, AMER; Remote, New York, United States, AMER; Remote, Pennsylvania, United States, AMER; Remote, Virginia, United States, AMER; Remote, Washington DC, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re seeking an experienced Sr. Technical Instructor with a passion for teaching and working with data to join our training team to setup Enterprise customers and partners for success with dbt to empower data developers to create and disseminate organisational knowledge. What You’ll Do Deliver live, world-class instruction to train and onboard dbt customers, partners, and GSIs in small (~10), large groups (up to ~30) and webinar audiences (50 - 200) Create an engaging learning environment initially in a remote context (on Zoom!) and likely in person in the future Get learners excited about using dbt to make an impact at their organization Clearly teach and demo new concepts and skills for learners Facilitate live co-development sessions where learners apply what they have learned Adjust instruction on the fly while focusing on learner outcomes Provide critical feedback from your classroom experience to improve curriculum changes Become a product expert with dbt in the context of the modern data stack (if you aren’t already) Jump in on other education projects including curriculum development and improving our workflows Skills We’re Looking For You have 4+ years experience teaching with some data analytics experience OR 4+ years of data analytics experience with some teaching You have experience writing SQL in an analytics context You love teaching and creating those lightbulb moments for learners You create learning environments with high levels of engagement You are laser focused on learner and customer outcomes while adjusting instruction on the fly - our customers are coming to use our product from varied tooling and skillsets You believe teaching is a craft that we can always get better at and actively seek out feedback You communicate clearly and concisely with internal and external stakeholders You thrive in an environment of cross-collaboration that moves quickly Bonus Skills​ You have worked on customer education / training teams and know how training can drive outcomes for customers. You have experience using dbt and/or teaching dbt. You have experience writing analytics code (i.e. python, R, etc.) in addition to SQL and working with databases You have experience designing curricula with a focus on backwards design. The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $112,842 — $135,416 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Brazil About the Role Join Alvys, an early-stage company transforming the $800B US freight industry. As a DevSecOps Engineer, you'll help protect our platform and the customer data it holds. You'll close cloud security gaps, build security checks into how we ship software, run our penetration testing program, and stand up the infrastructure behind our internal security, IT, and AI tools. This role combines hands-on infrastructure work with coordination across DevOps, engineering teams, IT & Security, and outside security vendors. Industry Insight Freight companies run their business on Alvys: loads, drivers, carriers, payments, and financial records. As more of the industry moves to modern software, customers expect that data to be protected like any other business-critical system. Security is part of how we earn and keep their trust. About Alvys Alvys is building a multi-tenant SaaS platform that powers modern transportation operations. We combine deep industry knowledge with strong technical execution to bring clarity, automation, and reliability to one of the world's most essential industries. Security is a shared responsibility at Alvys, and this role helps every team meet that bar. Our Principles Engineering Principles Build for Real-World Impact. Our users rely on Alvys to solve real problems, not abstract ones. Every security fix should reduce real risk to our platform and the people moving freight every day, not just clear a scanner finding. Extreme Ownership and Empowerment. Ownership extends beyond building. It means being accountable for quality, reliability, and customer impact. If it's in production, it's yours: bugs, uptime, and results. Technology Debt is Strategic, Not Accidental. Technical debt is a strategic choice, not an oversight. We incur it deliberately when it unlocks speed, learning, or market advantage. Our architecture remains clean, maintainable, and scalable as we grow. Simplicity Scales; Complexity Costs. Logistics is inherently complex, but our technology shouldn't be. We prioritize simplicity in our architecture, leveraging modularity and well-defined service boundaries to reduce cognitive load. Radical Transparency. We democratize data and make it accessible across all functions to drive alignment and decision-making. Transparency also means feedback. We systematize constructive feedback loops to ensure growth. Engineering Culture Move Fast, Learn Fast. Speed is our advantage, but we move fast intentionally. We bias for action, assume positive intent, and treat every mistake as a learning opportunity. Own the Outcome. Every engineer owns outcomes, not tickets. We take responsibility end-to-end, identifying problems, delivering solutions, and ensuring they last. Partner, Don't Gatekeep. Security works best when it's built with the teams who own the systems. We share context with DevOps and engineering teams, explain the risk behind each ask, and make the secure path the easy one. Pragmatism Over Purism. Perfect security doesn't exist, but reduced risk does. We choose fixes that scale, are maintainable, and address real threats, not theoretical ones. People Over Heroics. We don't reward burnout or always-on behavior. Sustainability is a feature, not a luxury. If someone needs to slow down, unplug, or take care of life outside work, that's expected. Responsibilities Cloud security architecture Design and deliver infrastructure changes that strengthen our cloud security posture, including network isolation and identity-based access. Make these changes through infrastructure as code, plan rollouts that avoid customer downtime, and work with service owners to update the applications that depend on them. Build secure defaults into our infrastructure modules so new resources start out compliant. Vulnerability management and pipeline security Help run our vulnerability management program, driving remediation within defined SLAs. Extend our existing security scanning with AI-assisted security testing, such as automated security code review and AI-driven penetration testing. Tune and improve the automation we already use to process security findings. Penetration testing Manage our third-party penetration tests from start to finish: scoping and targeting, test environments and accounts, vendor coordination, findings intake, and retesting. Help mature our internal, AI-assisted penetration testing tool into a dependable part of the security program, including deployment and scheduled runs. Infrastructure for security, IT, and AI tooling Deploy and operate internal applications in Azure, with identity, secrets, networking, and backups set up correctly from day one. Build telemetry pipelines (OpenTelemetry into Azure Monitor) for our AI and internal tools, with dashboards and alerts that surface anomalous activity. Working with others Partner with DevOps, engineering teams, and IT & Security to plan and prioritize work. Write clear runbooks and documentation, and produce evidence for our SOC 2 program. Tech Stack Cloud: Azure (AKS, App Service, Azure Functions, Storage, Key Vault, Cosmos DB, VNets, Microsoft Entra ID) Infrastructure as code: Terraform CI/CD: GitHub Actions and Azure DevOps pipelines Containers: Docker, Kubernetes, Azure Container Registry Observability: Azure Monitor, App Insights, Log Analytics, OpenTelemetry, Grafana Security: Aikido, Cloudflare AI tooling: Cursor, Claude, Claude Platform (managed agents), Grokbot Application code: .NET/C#, TypeScript, Angular, React Minimum Qualifications Fluent in English, spoken and written. 3+ years of professional experience in DevOps, cloud infrastructure, platform engineering, or security engineering. Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP), including networking, identity and access management, and secrets management. Production experience with infrastructure as code, preferably Terraform. Experience building and maintaining CI/CD pipelines. Working knowledge of containers and Kubernetes. Scripting skills in Python, PowerShell, or Bash. Understanding of common security risks in cloud and web applications, and how to fix them. Ability to explain technical risk clearly to engineers and non-engineers. Preferred Qualifications Experience with Azure specifically, including private endpoints, VNet integration, and Entra ID managed identities. Experience with application security testing (SCA, SAST, DAST), and interest in applying AI to security testing. Experience coordinating penetration tests or working with external security firms. Experience with OpenTelemetry, Azure Monitor, or similar observability tools, including writing alert queries (KQL is a plus). Familiarity with SOC 2, ISO 27001, or CIS Benchmarks. Interest in AI tooling and how to deploy and monitor it safely. Security certifications such as AZ-500, Security+, or similar are a plus. Background in logistics or transportation is a bonus.

Location: Mexico About the Role Join Alvys, an early-stage company transforming the $800B US freight industry. As a DevSecOps Engineer, you'll help protect our platform and the customer data it holds. You'll close cloud security gaps, build security checks into how we ship software, run our penetration testing program, and stand up the infrastructure behind our internal security, IT, and AI tools. This role combines hands-on infrastructure work with coordination across DevOps, engineering teams, IT & Security, and outside security vendors. Industry Insight Freight companies run their business on Alvys: loads, drivers, carriers, payments, and financial records. As more of the industry moves to modern software, customers expect that data to be protected like any other business-critical system. Security is part of how we earn and keep their trust. About Alvys Alvys is building a multi-tenant SaaS platform that powers modern transportation operations. We combine deep industry knowledge with strong technical execution to bring clarity, automation, and reliability to one of the world's most essential industries. Security is a shared responsibility at Alvys, and this role helps every team meet that bar. Our Principles Engineering Principles Build for Real-World Impact. Our users rely on Alvys to solve real problems, not abstract ones. Every security fix should reduce real risk to our platform and the people moving freight every day, not just clear a scanner finding. Extreme Ownership and Empowerment. Ownership extends beyond building. It means being accountable for quality, reliability, and customer impact. If it's in production, it's yours: bugs, uptime, and results. Technology Debt is Strategic, Not Accidental. Technical debt is a strategic choice, not an oversight. We incur it deliberately when it unlocks speed, learning, or market advantage. Our architecture remains clean, maintainable, and scalable as we grow. Simplicity Scales; Complexity Costs. Logistics is inherently complex, but our technology shouldn't be. We prioritize simplicity in our architecture, leveraging modularity and well-defined service boundaries to reduce cognitive load. Radical Transparency. We democratize data and make it accessible across all functions to drive alignment and decision-making. Transparency also means feedback. We systematize constructive feedback loops to ensure growth. Engineering Culture Move Fast, Learn Fast. Speed is our advantage, but we move fast intentionally. We bias for action, assume positive intent, and treat every mistake as a learning opportunity. Own the Outcome. Every engineer owns outcomes, not tickets. We take responsibility end-to-end, identifying problems, delivering solutions, and ensuring they last. Partner, Don't Gatekeep. Security works best when it's built with the teams who own the systems. We share context with DevOps and engineering teams, explain the risk behind each ask, and make the secure path the easy one. Pragmatism Over Purism. Perfect security doesn't exist, but reduced risk does. We choose fixes that scale, are maintainable, and address real threats, not theoretical ones. People Over Heroics. We don't reward burnout or always-on behavior. Sustainability is a feature, not a luxury. If someone needs to slow down, unplug, or take care of life outside work, that's expected. Responsibilities Cloud security architecture Design and deliver infrastructure changes that strengthen our cloud security posture, including network isolation and identity-based access. Make these changes through infrastructure as code, plan rollouts that avoid customer downtime, and work with service owners to update the applications that depend on them. Build secure defaults into our infrastructure modules so new resources start out compliant. Vulnerability management and pipeline security Help run our vulnerability management program, driving remediation within defined SLAs. Extend our existing security scanning with AI-assisted security testing, such as automated security code review and AI-driven penetration testing. Tune and improve the automation we already use to process security findings. Penetration testing Manage our third-party penetration tests from start to finish: scoping and targeting, test environments and accounts, vendor coordination, findings intake, and retesting. Help mature our internal, AI-assisted penetration testing tool into a dependable part of the security program, including deployment and scheduled runs. Infrastructure for security, IT, and AI tooling Deploy and operate internal applications in Azure, with identity, secrets, networking, and backups set up correctly from day one. Build telemetry pipelines (OpenTelemetry into Azure Monitor) for our AI and internal tools, with dashboards and alerts that surface anomalous activity. Working with others Partner with DevOps, engineering teams, and IT & Security to plan and prioritize work. Write clear runbooks and documentation, and produce evidence for our SOC 2 program. Tech Stack Cloud: Azure (AKS, App Service, Azure Functions, Storage, Key Vault, Cosmos DB, VNets, Microsoft Entra ID) Infrastructure as code: Terraform CI/CD: GitHub Actions and Azure DevOps pipelines Containers: Docker, Kubernetes, Azure Container Registry Observability: Azure Monitor, App Insights, Log Analytics, OpenTelemetry, Grafana Security: Aikido, Cloudflare AI tooling: Cursor, Claude, Claude Platform (managed agents), Grokbot Application code: .NET/C#, TypeScript, Angular, React Minimum Qualifications Fluent in English, spoken and written. 3+ years of professional experience in DevOps, cloud infrastructure, platform engineering, or security engineering. Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP), including networking, identity and access management, and secrets management. Production experience with infrastructure as code, preferably Terraform. Experience building and maintaining CI/CD pipelines. Working knowledge of containers and Kubernetes. Scripting skills in Python, PowerShell, or Bash. Understanding of common security risks in cloud and web applications, and how to fix them. Ability to explain technical risk clearly to engineers and non-engineers. Preferred Qualifications Experience with Azure specifically, including private endpoints, VNet integration, and Entra ID managed identities. Experience with application security testing (SCA, SAST, DAST), and interest in applying AI to security testing. Experience coordinating penetration tests or working with external security firms. Experience with OpenTelemetry, Azure Monitor, or similar observability tools, including writing alert queries (KQL is a plus). Familiarity with SOC 2, ISO 27001, or CIS Benchmarks. Interest in AI tooling and how to deploy and monitor it safely. Security certifications such as AZ-500, Security+, or similar are a plus. Background in logistics or transportation is a bonus.

Location: Hybrid, SP Workplace: hybrid We’re looking for a creative person who is connected to social media and excited about creating video ads for Fanatee’s games. You’ll be involved in creating, recording, and analyzing content for our campaigns. If you enjoy creating content, keeping up with trends, and want to learn firsthand how performance marketing works at a global company, this could be the opportunity for you! What you’ll do - Participate in creating new concepts and campaign ideas for social media; - Collaborate on the creation and recording of video ads for Fanatee’s games; - Support the analysis of ad performance metrics, such as CTR, CVR, and others, to suggest improvements and new iterations; - Research trends, references, and formats that are performing well on platforms such as Instagram, Facebook, and TikTok; - Assist with editing and adapting content for digital marketing campaigns. What you’ll need - Currently pursuing a degree in Film, Communications, Marketing, Advertising, or a related field; - Enjoy creating content for social media, whether professionally or through personal projects; - Be comfortable and interested in appearing on camera; - Advanced English, as the videos will be recorded in English; - Basic to intermediate knowledge of video editing software; - Be connected to social media trends and content creators; - Live in São Paulo. What We Offer - Paid internship with competitive pay and flexible benefits. - Hybrid setup, casual environment and dress code. - Real ownership. Your work ships, and you'll watch it move the numbers. - A team that likes to mentor, and a kitchen stocked with snacks, fruit, and drink   If you want to share this ride with us and join a lightweight, fun and focused environment that breathes innovation and game culture, apply now!   ABOUT FANATEE Fanatee is a mobile gaming startup founded in 2013 with one goal: let people play our games anytime, anywhere. We care a lot about quality, plan our creative work carefully, and turn good ideas into real businesses. Our games have passed 300M downloads worldwide. We get to do what we love most: work with talented, passionate people and give them room to chase big goals. If that sounds like your kind of place, lightweight, fun, focused, and built on game culture, apply.

Location: United States About the Role Join Alvys, an early-stage company transforming the $800B US freight industry. As a DevSecOps Engineer, you'll help protect our platform and the customer data it holds. You'll close cloud security gaps, build security checks into how we ship software, run our penetration testing program, and stand up the infrastructure behind our internal security, IT, and AI tools. This role combines hands-on infrastructure work with coordination across DevOps, engineering teams, IT & Security, and outside security vendors. Industry Insight Freight companies run their business on Alvys: loads, drivers, carriers, payments, and financial records. As more of the industry moves to modern software, customers expect that data to be protected like any other business-critical system. Security is part of how we earn and keep their trust. About Alvys Alvys is building a multi-tenant SaaS platform that powers modern transportation operations. We combine deep industry knowledge with strong technical execution to bring clarity, automation, and reliability to one of the world's most essential industries. Security is a shared responsibility at Alvys, and this role helps every team meet that bar. Our Principles Engineering Principles Build for Real-World Impact. Our users rely on Alvys to solve real problems, not abstract ones. Every security fix should reduce real risk to our platform and the people moving freight every day, not just clear a scanner finding. Extreme Ownership and Empowerment. Ownership extends beyond building. It means being accountable for quality, reliability, and customer impact. If it's in production, it's yours: bugs, uptime, and results. Technology Debt is Strategic, Not Accidental. Technical debt is a strategic choice, not an oversight. We incur it deliberately when it unlocks speed, learning, or market advantage. Our architecture remains clean, maintainable, and scalable as we grow. Simplicity Scales; Complexity Costs. Logistics is inherently complex, but our technology shouldn't be. We prioritize simplicity in our architecture, leveraging modularity and well-defined service boundaries to reduce cognitive load. Radical Transparency. We democratize data and make it accessible across all functions to drive alignment and decision-making. Transparency also means feedback. We systematize constructive feedback loops to ensure growth. Engineering Culture Move Fast, Learn Fast. Speed is our advantage, but we move fast intentionally. We bias for action, assume positive intent, and treat every mistake as a learning opportunity. Own the Outcome. Every engineer owns outcomes, not tickets. We take responsibility end-to-end, identifying problems, delivering solutions, and ensuring they last. Partner, Don't Gatekeep. Security works best when it's built with the teams who own the systems. We share context with DevOps and engineering teams, explain the risk behind each ask, and make the secure path the easy one. Pragmatism Over Purism. Perfect security doesn't exist, but reduced risk does. We choose fixes that scale, are maintainable, and address real threats, not theoretical ones. People Over Heroics. We don't reward burnout or always-on behavior. Sustainability is a feature, not a luxury. If someone needs to slow down, unplug, or take care of life outside work, that's expected. Responsibilities Cloud security architecture Design and deliver infrastructure changes that strengthen our cloud security posture, including network isolation and identity-based access. Make these changes through infrastructure as code, plan rollouts that avoid customer downtime, and work with service owners to update the applications that depend on them. Build secure defaults into our infrastructure modules so new resources start out compliant. Vulnerability management and pipeline security Help run our vulnerability management program, driving remediation within defined SLAs. Extend our existing security scanning with AI-assisted security testing, such as automated security code review and AI-driven penetration testing. Tune and improve the automation we already use to process security findings. Penetration testing Manage our third-party penetration tests from start to finish: scoping and targeting, test environments and accounts, vendor coordination, findings intake, and retesting. Help mature our internal, AI-assisted penetration testing tool into a dependable part of the security program, including deployment and scheduled runs. Infrastructure for security, IT, and AI tooling Deploy and operate internal applications in Azure, with identity, secrets, networking, and backups set up correctly from day one. Build telemetry pipelines (OpenTelemetry into Azure Monitor) for our AI and internal tools, with dashboards and alerts that surface anomalous activity. Working with others Partner with DevOps, engineering teams, and IT & Security to plan and prioritize work. Write clear runbooks and documentation, and produce evidence for our SOC 2 program. Tech Stack Cloud: Azure (AKS, App Service, Azure Functions, Storage, Key Vault, Cosmos DB, VNets, Microsoft Entra ID) Infrastructure as code: Terraform CI/CD: GitHub Actions and Azure DevOps pipelines Containers: Docker, Kubernetes, Azure Container Registry Observability: Azure Monitor, App Insights, Log Analytics, OpenTelemetry, Grafana Security: Aikido, Cloudflare AI tooling: Cursor, Claude, Claude Platform (managed agents), Grokbot Application code: .NET/C#, TypeScript, Angular, React Minimum Qualifications Fluent in English, spoken and written. 3+ years of professional experience in DevOps, cloud infrastructure, platform engineering, or security engineering. Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP), including networking, identity and access management, and secrets management. Production experience with infrastructure as code, preferably Terraform. Experience building and maintaining CI/CD pipelines. Working knowledge of containers and Kubernetes. Scripting skills in Python, PowerShell, or Bash. Understanding of common security risks in cloud and web applications, and how to fix them. Ability to explain technical risk clearly to engineers and non-engineers. Preferred Qualifications Experience with Azure specifically, including private endpoints, VNet integration, and Entra ID managed identities. Experience with application security testing (SCA, SAST, DAST), and interest in applying AI to security testing. Experience coordinating penetration tests or working with external security firms. Experience with OpenTelemetry, Azure Monitor, or similar observability tools, including writing alert queries (KQL is a plus). Familiarity with SOC 2, ISO 27001, or CIS Benchmarks. Interest in AI tooling and how to deploy and monitor it safely. Security certifications such as AZ-500, Security+, or similar are a plus. Background in logistics or transportation is a bonus. Equal Employment Opportunity Alvys is an equal opportunity employer and as such, we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws. We are dedicated to growing a diverse team of highly talented people. We’re dedicated to building a workplace where we give each other the strategies, support, and space we each need to thrive—believing in and bringing out the best of everyone. If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs. For information about Alvys's privacy practices, see our Privacy Policy .

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As part of the SaaS Manager https://1password.com/product/saas-manager team, you'll be building the platform that IT and Security teams rely on to discover, govern, and optimize their AI and SaaS ecosystems (work that just earned 1Password recognition as a Leader in the 2026 Gartner® Magic Quadrant™ for SaaS Management Platforms). You'll work on real problems: uncontrolled AI spend, shadow IT, SaaS sprawl, and the complex access lifecycles that come with it. Following 1Password's acquisition of Trelica in early 2025 https://blog.1password.com/1password-acquires-trelica/, you'll join a collaborative team with a startup mindset backed by the resources and mission of one of the most trusted names in security. As we scale the platform to meet our enterprise-scale ambitions, you'll help shape not just what we build, but how we build it. We are looking for an Intermediate Developer who is energized by doing meaningful work, growing fast, and building great software alongside great humans. This is a role for someone with a solid technical foundation who knows how they learn, takes real ownership of their work, and is ready to make an impact from day one. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: - You have 2–4 years of professional software development experience with some knowledge of .NET/C# and exposure to MongoDB or a comparable document database - You know how you learn, and you learn quickly: you're comfortable picking up new concepts, technologies, and codebases, and you don't need everything handed to you before you can get started - You take real ownership of your assigned work: you follow through, flag problems early, and hold a high bar for what "done" means - You write clean, well-tested, well-documented code and you understand why those things matter in a production environment - You're a strong collaborator: you communicate clearly, ask good questions, and work well with teammates across engineering, product, and design - You're curious about how agentic AI tools fit into your own development workflow and you use them thoughtfully - You're proactive by nature: you look for opportunities to improve the codebase or the team's processes and you surface them, even when you haven't been asked Bonus points for: - Comfort across a wide range of technical stacks (.NET/C#, MongoDB, Go, Rust, TypeScript, React, and others); you evaluate technology on its merits for the problem at hand, not personal preference, and you pick up new languages quickly What you can expect: - Deliver features and improvements on the SaaS Manager platform - Take end-to-end ownership of well-defined features from initial development through production - Participate actively in code reviews, giving and receiving thoughtful feedback, and use both as opportunities to grow your technical judgment - Write meaningful tests and clear documentation as part of your regular workflow, not as an afterthought - Collaborate with product managers and designers to understand the customer problems behind your work and advocate for good outcomes within your scope - Surface blockers and open questions early, keeping yourself and your teammates unblocked and the work moving forward USA-based roles only: The annual base salary for this role is between $123,000 USD and $172,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $111,000 CAD and $155,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.