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Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As Harvey's first Content Designer, you'll shape how people understand, interact with, and trust our product. You'll lead content design across interfaces and AI responses, defining everything from terminology and interaction patterns to how Harvey expresses itself. Working closely with product designers, engineers, PMs, and AI researchers, you'll bring clarity and consistency to experiences across the Harvey ecosystem. You'll lay the foundations for our content practice and develop the tools and guidance that help teams put content principles into practice as they design and ship. We're looking for someone who combines strong writing craft with systems thinking and a clear point of view on AI experiences. WHAT YOU'LL DO - Define Harvey's voice, tone, and content principles across interfaces and AI responses. - Lead content design of key experiences, from initial concept through polished execution. - Develop AI-assisted tools and guidance that help teams apply content standards as they build. - Champion a high design bar, helping the team make thoughtful, intentional decisions at every step. WHAT YOU HAVE - 8+ years (Staff) in content design, UX writing, or content strategy, with a portfolio that demonstrates your best work. - Ability to translate complex concepts into clear, intuitive language for expert audiences. - Deep understanding of voice, tone, and content systems, with a strong sense of writing craft. - Ability to design AI experiences and use AI-assisted tools to scale content quality. - Ability to move between content details and broader strategy, building a content practice while maintaining a high pace of execution and quality bar. - Ability to clearly articulate system decisions and tradeoffs to designers, engineers, and cross-functional partners - Strong opinions, loosely held, being comfortable challenging conventions and evolving best practices as the discipline changes - Comfort operating in ambiguous problem spaces and bringing structure where it doesn't yet exist - Excellent communication and storytelling skills to articulate content decisions and rationale. COMPENSATION $195,500- 264,500 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-MV1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As Harvey's first Content Designer, you'll shape how people understand, interact with, and trust our product. You'll lead content design across interfaces and AI responses, defining everything from terminology and interaction patterns to how Harvey expresses itself. Working closely with product designers, engineers, PMs, and AI researchers, you'll bring clarity and consistency to experiences across the Harvey ecosystem. You'll lay the foundations for our content practice and develop the tools and guidance that help teams put content principles into practice as they design and ship. We're looking for someone who combines strong writing craft with systems thinking and a clear point of view on AI experiences. WHAT YOU'LL DO - Define Harvey's voice, tone, and content principles across interfaces and AI responses. - Lead content design of key experiences, from initial concept through polished execution. - Develop AI-assisted tools and guidance that help teams apply content standards as they build. - Champion a high design bar, helping the team make thoughtful, intentional decisions at every step. WHAT YOU HAVE - 8+ years (Staff) in content design, UX writing, or content strategy, with a portfolio that demonstrates your best work. - Ability to translate complex concepts into clear, intuitive language for expert audiences. - Deep understanding of voice, tone, and content systems, with a strong sense of writing craft. - Ability to design AI experiences and use AI-assisted tools to scale content quality. - Ability to move between content details and broader strategy, building a content practice while maintaining a high pace of execution and quality bar. - Ability to clearly articulate system decisions and tradeoffs to designers, engineers, and cross-functional partners - Strong opinions, loosely held, being comfortable challenging conventions and evolving best practices as the discipline changes - Comfort operating in ambiguous problem spaces and bringing structure where it doesn't yet exist - Excellent communication and storytelling skills to articulate content decisions and rationale. COMPENSATION $195,500- 264,500 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-MV1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote - Global Workplace: Remote At Moxie, we empower ambitious aesthetic entrepreneurs to build profitable, independent practices—without burnout, overwhelm, or guesswork. In just a few years, we've grown from an idea to a global, remote-first team now supporting 700+ practices nationwide. Our purpose is simple: to unlock sustainable success for aesthetic entrepreneurs, at every stage of their journey. STAFF PLATFORM ENGINEER We're looking for a Staff Platform Engineer to lead some of Moxie's highest-impact infrastructure and developer productivity initiatives in Q4 2026 and H1 2027, starting with Continuous Delivery. Beyond the project work, you'll provide technical leadership across the company and own and validate major architectural decisions that shape how Moxie builds, with particular responsibility for cloud infrastructure, CI/CD, developer environments, observability, and operational tooling. You'll join our Platform team and work closely with engineers across Moxie to improve how we build, test, deploy, and operate software. You'll help evolve our developer platform to support both engineers and increasingly autonomous AI agents, with an emphasis on automation, self-service tooling, and reducing friction throughout the software development lifecycle. You'll also share responsibility for production reliability and operational support with our distributed Platform team, including participation in on-call and incident response during Americas hours. OUR OBJECTIVES FOR THE ROLE - Ship early wins that improve developer productivity. Within your first month, you're contributing to production infrastructure and developer tooling, participating in architectural discussions, and identifying opportunities for improvement. By month two, you've delivered targeted improvements to CI reliability, merge workflows, deployment automation, or local development environments. - Lead major platform initiatives from design to production. Take ownership of a meaningful workstream within our existing Continuous Delivery initiative, leading it through design, architecture review, cross-functional collaboration, and production. By month six, lead a second ambitious initiative, such as progressive delivery or developer environment improvements, to a visible milestone or production-ready state. - Shape architecture across the company. Within your first month, you're actively participating in architectural discussions and identifying opportunities to improve Moxie's systems. By month three, you're leading technical proposals, influencing major architectural decisions across teams, and taking designs from proposal through review, approval, and implementation, with particular ownership of our infrastructure and developer platform. - Build the next generation of developer infrastructure. By month nine, you've advanced automation, self-service environments, and the infrastructure needed to support increasingly autonomous AI engineering workflows, with measurable improvements in delivery speed, reliability, or developer experience. - Own non-project technical initiatives and engineering culture. Start owning at least one org-level initiative in your first three months (for example infrastructure standards, architecture governance, technical documentation, or engineering-wide reliability practices), and by month nine own one or two initiatives with measurable gains in quality or velocity, while shipping v1 of one or more key initiatives. WE'RE LOOKING FOR - Staff-level engineering experience. You've led large, ambiguous initiatives as a hands-on IC, owning delivery, tradeoffs, and major architectural decisions across teams. - Technical leadership and engineering standards. You've improved engineering practices, influenced peers across teams, and partnered with engineering leadership to resolve complex decisions and raise the technical bar. - Cloud infrastructure and architecture. You've designed, built, and operated production systems on AWS (ECS/Fargate, RDS, or equivalents), using containers and infrastructure as code (Terraform/Terragrunt), with strong judgment around scalability, reliability, and security. - Continuous Delivery expertise. You've improved CI/CD pipelines, testing infrastructure, and deployment workflows, with measurable gains in delivery speed, frequency, and reliability. - Developer platform thinking. You treat engineers as customers, building self-service tooling, developer environments, and scalable abstractions that reduce friction for both engineers and autonomous AI agents. - Observability and operational excellence. You've designed reliable, observable production systems using Datadog or equivalent tooling, with effective monitoring and alerting, and can diagnose complex production failures and drive lasting improvements. This is not a role for someone who prefers to advise from the sidelines or work a ticket queue; you'll build the fix yourself. WHY JOIN US? - Momentum from day one. You join an in-flight Continuous Delivery initiative with leadership backing, so your work lands in a plan that already has support. - A solid base to build on. Datadog observability is established and the deploy process works, so you improve a running platform instead of starting from zero. - You're not alone. You share US-hours coverage with an Americas staff platform engineer and work alongside an EU platform team. - Above all, we're in this to empower small business owners to own and grow their businesses. If you succeed, Med Spas will remain the opportunity for independent owner-operators instead of being dominated by a small number of large chains. If that speaks to you, speak to us. - We have much left to build. But given the market feedback we're getting and our founding team's company-building experience, we think we are writing the first chapters of a real success story. - Competitive salary and fully remote work. At Moxie, we believe in creating a workplace where everyone feels valued, trusted, and included. Our team lives by our values: act as owners, give more than we take, move with speed and care, and simplify and learn every day. We welcome people of all backgrounds, experiences, and perspectives to apply. If you require any accommodations to fully participate in the interview process, please let us know, we’re happy to assist.

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

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

Location: United States (Remote) Workplace: Remote SUMMARY   Infrastructure Foundations builds and operates the multi-cloud platform underneath Temporal Cloud, turning the complexity of AWS, Google Cloud (GCP), and Azure into one cohesive platform the rest of Temporal builds on. Every cell we run is provisioned, managed, and safely changed by systems this team owns. When a customer's workflow runs, it runs on our work. We are heading into the next stage: Kubernetes-based infrastructure platforms built for the next orders of magnitude of growth.   We are looking for a Staff Software Engineer to design and build the next version of that platform. You will own a significant multi-component system, from the APIs other teams build on to how infrastructure state is modeled, changed, and recovered, and coordinate the engineers building its parts. You will stay close enough to the code to prove decisions out, build the capability roadmap for this area with the engineering manager, and lead through design reviews and the hardest incidents.   What makes this team different - Real multi-cloud, not multi-cloud on a slide. We run across AWS, GCP, and Azure and keep extending the platform to new providers. The abstractions you design are the ones every new cloud plugs into. - We build Temporal Cloud with Temporal. Cell creation, component deployment, and cloud provisioning run as Temporal workflows. You will shape how Temporal runs its own infrastructure on Temporal. - A platform transformation, not maintenance. HA/DR for our control infrastructure, a declarative model for the whole platform, and a deployment control plane, all designed while a live platform keeps running. - Everything sits on top of it. Nearly every team at Temporal depends on what we build, so the standards you set for this platform shape how those teams ship.   Responsibilities   - Multi-cloud architecture: Design the abstraction model that makes AWS, GCP, and Azure read as one platform. Decide where provider differences in IAM, networking, quotas, and failure modes get absorbed, and how new regions and providers plug in. - Own a significant system: Design and build the multi-component platform end to end, and coordinate the engineers working on its parts. Make the system-level tradeoffs between conflicting requirements, and make them explicit. - Declarative infrastructure model: Define how components are described, versioned, and reconciled across Kubernetes workloads and supporting cloud resources. Set the approach for reproducible environments, drift visibility, and safe reconciliation. - Deployment control plane: Design the shared inventory, dependency awareness, rollout sequencing, and approvals that let many teams change production safely. Keep orchestration and safety policy cohesive while integrating with the frameworks that execute deployments. - Reliability by design: Spot architectural flaws before they cost us performance or reliability. Make bounded blast radius, progressive rollouts, observability, load and failure testing, and recovery part of every design. Stay cool in the hardest incidents, then bring what we learn back into the platform. - Roadmap and judgment: Build the capability roadmap for this area with the engineering manager. Scope big ideas down into well-understood pieces, evaluate the viability of requests from other teams, and weigh technical and business risk when the path isn't clear. - Raise the bar: Define the team's development process and operational best practices. Coach Senior engineers and invest in their growth, lead design reviews, and catch the critical PRs, as a keeper of standards who is seen as a value-add, not a blocker. Help hire the engineers who will build this with you. - Cross-team collaboration: Work with Traffic, Control Plane, Developer Productivity, Security, and service owners. Communicate complex designs clearly, influence toward the right course of action, and earn adoption through useful abstractions and dependable operations. Own compatibility and migration as the platform evolves.   Qualifications - 10+ years building software, including significant time designing and operating distributed infrastructure in production. - Production infrastructure experience on at least two of AWS, GCP, and Azure, including building, operationalizing, and scaling Kubernetes-based platforms across them. - Deep Kubernetes knowledge: scheduling, controllers and reconciliation, resource management, isolation, and upgrade safety. - A record of designing and building a significant multi-component system and coordinating other engineers to deliver it, ideally through a substantial infrastructure transition while production kept running. - Proficiency across a diverse set of technologies, with strong coding skills in Go or another systems language. You still write meaningful code. - Excellent written and verbal communication. You can explain complex systems, make tradeoffs explicit, and drive alignment with engineering and leadership. - Bachelor's degree in Computer Science or a related field, or equivalent practical experience.   Required Skills - Multi-cloud platform thinking: reusable abstractions that account for provider differences and stay secure, observable, and maintainable. - Kubernetes architecture and operations judgment, especially recovery under failure. - System-level tradeoffs and good judgment in ambiguous situations, balancing foundational work, customer needs, and unplanned operational demands. - Raising the bar through design reviews, code reviews, coaching, and clear technical writing.   Preferred Experience   - All three providers. Building and operating infrastructure across AWS, GCP, and Azure, especially bringing a new provider onto an existing platform. - Building Kubernetes controllers and operators, including cloud resource controllers like Crossplane or AWS Controllers for Kubernetes (ACK). - Upstream open source contributions or maintainer experience in Kubernetes, CNCF, or similar infrastructure projects (conference talks are a bonus). - Deployment control planes, progressive delivery, dependency-aware rollouts, and safe migrations of production infrastructure. - Automating lifecycle management, such as patching and upgrades, for cloud native software across a large fleet. - Infrastructure services in Go and durable workflow orchestration using Temporal.   Tech you'll work with - Languages: Go (primary) - Infrastructure: Kubernetes (EKS, GKE, AKS), Karpenter, Helm, Terraform, and Temporal (we dogfood extensively) - Cloud providers: AWS, GCP, Azure Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.   THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   Forget crypto. Fintech/crypto are now one of the same. Come join us to lead Product Design for the building of elite AI products, end-to-end. A personal finance agent that shapes how people spend, save invest and live.   You’ll have real ownership of the design work: the experiences you shape, and how they look, feel and behave. You’ll work directly with product, engineering and leadership, with no layers of process between you and the work.   This is a rare 0→1 opportunity. The choices you make will shape the products and the people who use them.   We’re a small, hardworking team that moves fast and ships with purpose. We’re straight-talking, no-nonsense, and deeply invested in the quality of what we build. We care about craft, we care about our customers, and we care about getting things right.   If you’re excited by hard problems, high standards, no egos and the chance to build something genuinely new, climb aboard.     THE OPPORTUNITY - Own design end to end: discovery, concept, prototyping, delivery and launch. You are the designer, with real ownership of the outcome. - Take products from zero to one, turning an early idea or a rough problem space into something real that people use. - Build new AI products for external B2C customers, and internal AI products that shape and redefine the way that Payward works. - Thrive in ambiguity. Define the problem, set the direction and make the call when nobody has handed you a brief. - Design for non-deterministic experiences, where outputs vary and the system doesn’t behave the same way twice. Shape how people interact with, understand and trust intelligent systems. - Create visually rich, forward-thinking work that sets new benchmarks for what AI products can look and feel like. - Partner directly with product, engineering and leadership, and influence strategy and roadmap decisions, not just execution. - Prototype fast to make ideas tangible, test them and learn, then move on to the next one. - Conduct user research and use customer insights, data and experimentation to decide what to build, and keep improving it after launch. - Hold a high bar for craft and user experience in everything you ship.   WHAT YOU BRING - 7+ years of experience in product design, with a portfolio demonstrating exceptional craft and impact. - A track record of taking products from zero to launch as the lead or only designer, owning the full design process end to end. - World class product thinking: Real comfort with ambiguity, you find direction when requirements are unclear, make sound decisions with incomplete information, and adapt as things change. - Experience designing for non-deterministic experiences, such as AI-powered, generative or probabilistic products, is highly desirable. - Strong UX and visual design skills, with a record of solving open-ended problems with clarity and elegance. - Advanced prototyping skills, with the ability to communicate complex interactions and ideas quickly. - Experience influencing product strategy and cross-functional decision-making. - Strong systems thinking, with the ability to create coherent, scalable experiences from scratch. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.   THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   Forget crypto. Fintech/crypto are now one of the same. Come join us to lead Product Design for the building of elite AI products, end-to-end. A personal finance agent that shapes how people spend, save invest and live.   You’ll have real ownership of the design work: the experiences you shape, and how they look, feel and behave. You’ll work directly with product, engineering and leadership, with no layers of process between you and the work.   This is a rare 0→1 opportunity. The choices you make will shape the products and the people who use them.   We’re a small, hardworking team that moves fast and ships with purpose. We’re straight-talking, no-nonsense, and deeply invested in the quality of what we build. We care about craft, we care about our customers, and we care about getting things right.   If you’re excited by hard problems, high standards, no egos and the chance to build something genuinely new, climb aboard.     THE OPPORTUNITY - Own design end to end: discovery, concept, prototyping, delivery and launch. You are the designer, with real ownership of the outcome. - Take products from zero to one, turning an early idea or a rough problem space into something real that people use. - Build new AI products for external B2C customers, and internal AI products that shape and redefine the way that Payward works. - Thrive in ambiguity. Define the problem, set the direction and make the call when nobody has handed you a brief. - Design for non-deterministic experiences, where outputs vary and the system doesn’t behave the same way twice. Shape how people interact with, understand and trust intelligent systems. - Create visually rich, forward-thinking work that sets new benchmarks for what AI products can look and feel like. - Partner directly with product, engineering and leadership, and influence strategy and roadmap decisions, not just execution. - Prototype fast to make ideas tangible, test them and learn, then move on to the next one. - Conduct user research and use customer insights, data and experimentation to decide what to build, and keep improving it after launch. - Hold a high bar for craft and user experience in everything you ship.   WHAT YOU BRING - 7+ years of experience in product design, with a portfolio demonstrating exceptional craft and impact. - A track record of taking products from zero to launch as the lead or only designer, owning the full design process end to end. - World class product thinking: Real comfort with ambiguity, you find direction when requirements are unclear, make sound decisions with incomplete information, and adapt as things change. - Experience designing for non-deterministic experiences, such as AI-powered, generative or probabilistic products, is highly desirable. - Strong UX and visual design skills, with a record of solving open-ended problems with clarity and elegance. - Advanced prototyping skills, with the ability to communicate complex interactions and ideas quickly. - Experience influencing product strategy and cross-functional decision-making. - Strong systems thinking, with the ability to create coherent, scalable experiences from scratch. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

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

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Staff Product Manager on the Tenant Scale area within Infrastructure Platforms, you’ll set product direction for how GitLab supports large, complex customers as they grow across departments, projects, and regions. This role focuses on the product choices needed to make tenant data more portable, scalable, and ready for a unified deployment model across GitLab.com, Dedicated, and, over time, Self-Managed. You’ll work on problems that sit at the intersection of product strategy, infrastructure, and customer needs, including how we build a platform to horizontally scale our SaaS architecture, how to enable tenant movement between environments, how isolation and regional requirements are handled, and what needs to be in place to support a more cellular architecture. At the Staff level, your scope extends beyond a single group. Your direction will inform the broader Infrastructure Platforms direction, you’ll make the investment case for unified deployment capabilities, and you’ll be a recognized authority, inside and outside GitLab, on multi-tenant and cellular SaaS architecture. In your first year, you’ll partner closely with engineering and product peers to define requirements, drive alignment, and move this work from concept into a deployment model teams can build on, while coaching fellow product managers as they pick up work from the shared pool. What you’ll do Drive product strategy and direction for tenant scale and unified deployment capabilities across GitLab.com, Dedicated, and future deployment models, informing the broader Infrastructure Platforms direction and moving this work from concept into a deployment model teams can build on in your first year. Set quarterly and annual plans for tenant portability and platform unification, breaking large epics into issues and minimal valuable changes (MVCs) and practicing iteration across multiple groups. Define requirements for our unified deployment platform, including the capabilities needed before tenants can be hosted in a unified deployment unit. Partner closely with engineering counterparts and highly technical teams to turn infrastructure constraints and platform needs into clear product direction. Collaborate with product peers across the platforms organization, including teams working on GitLab.com and adjacent infrastructure areas, and manage with influence to align work that spans more than one group. Engage with internal and external customers to understand needs related to isolation, regional deployment, compliance, and operational readiness, using qualitative interviews to find patterns and sharpen problem statements. Build business cases for investment in tenant scale and unified deployment, including build, buy, and partner options, the cost of isolation, regionality, and compliance, and the expected benefits. Facilitate tradeoff discussions around scalability, tenant encapsulation, deployment consistency, and platform unification, and escalate cleanly to the right level of leadership when decisions or progress are blocked. Translate complex technical concepts into product plans, priorities, and documentation that align distributed teams on delivery milestones for tenant portability and platform unification, using error budgets and other performance indicators to inform direction. Represent GitLab as a trusted voice on cellular architecture and tenant scale in customer calls, events, and other external forums. Coach fellow product managers on direction updates, customer validation, and GitLab’s architecture and tech stack, and support a collaborative team model where product managers share ownership across a common pool of work and step into the areas where they can have the most impact. What you’ll bring Experience managing product work in technical domains such as infrastructure, scalability, platform architecture, software delivery, or cloud services, with results delivered across a range of product areas rather than a single one. Ability to work effectively with deeply technical engineering teams and build credibility in discussions about system design, deployment models, and platform constraints. Knowledge of how SaaS or platform-based systems scale, including concepts such as multitenancy, horizontal scalability, autoscaling, workload isolation, and production readiness, and the ability to build a deep understanding of GitLab’s architecture and tech stack and coach others on it. Comfort working with customers or internal stakeholders on complex requirements, including operational, compliance, or regional deployment needs. Skill in turning ambiguous technical problems into clear product strategy, quarterly and annual plans, priorities, and actionable work. Expertise in qualitative customer interviewing and product validation, with the ability to teach those techniques to others. Experience building business cases, including weighing build, buy, and partner options and forecasting benefits against the competitive landscape. Experience collaborating across product, engineering, user experience, and other cross-functional partners in a distributed environment, using iteration and influence to raise the performance of peers beyond your own group. Strength in clear written and verbal communication, especially when explaining complex infrastructure topics to different audiences, with excellent presentation skills at every level of the company. Recognition as a thought leader in a relevant domain, internally and externally, for example through speaking, writing, or representing your company at customer events and conferences. Openness to candidates who bring transferable experience from engineering, technical support, or adjacent product roles relevant to large-scale platforms. About the team The team sits within Infrastructure Platforms and works on foundational platform capabilities. It partners closely with engineering, adjacent product managers, and internal customers across regions, with a strong emphasis on GitLab’s asynchronous working style and long-term platform thinking. Product managers on the team share ownership of a common pool of work; at the Staff level, you’ll help guide how that work is prioritized and mentor teammates as they take it on. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $168,000 — $285,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

- Translate the CEO’s priorities into actionable plans and measurable results. - Drive accountability and execution across teams.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Card Experiences team builds the product surfaces that make the Affirm Card feel simple and trustworthy. We own the cardholder journey from the moment a card is ordered to every time it's used. Our work spans the full stack: customer-facing web and mobile experiences and the backend services behind them. You'll work closely with product, design, risk, and operations partners to turn customer pain points into shipped improvements, and use data to measure their impact. You'll own features end to end, from shaping the problem to launching and monitoring in production, and you'll help raise the bar on reliability and on-call health. AI is central to how we work. We use it to build faster, to improve the quality of what we ship, and to create smarter, more helpful customer experiences. We lead from the front on adopting it, while holding a high bar on security and craft. A card is a high-trust product, so speed never comes at the expense of quality. If you want to help change how people plan their purchases, with a customer-first mindset and an eye for both speed and craft, we'd love to meet you. What You'll Do You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For This is a full stack role. You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes. You have a total of 8+ years of experience as a software engineer. You are proficient in developing web apps using declarative UI frameworks like React Native or React or Vue. You are proficient in designing, developing and launching systems at scale. You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. You think AI first and an adopter of latest technologies. You identify trends and safely apply them to the work. Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: CAD $181,000 - $241,000 Location - Remote Canada This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Card Experiences team builds the product surfaces that make the Affirm Card feel simple and trustworthy. We own the cardholder journey from the moment a card is ordered to every time it's used. Our work spans the full stack: customer-facing web and mobile experiences and the backend services behind them. You'll work closely with product, design, risk, and operations partners to turn customer pain points into shipped improvements, and use data to measure their impact. You'll own features end to end, from shaping the problem to launching and monitoring in production, and you'll help raise the bar on reliability and on-call health. AI is central to how we work. We use it to build faster, to improve the quality of what we ship, and to create smarter, more helpful customer experiences. We lead from the front on adopting it, while holding a high bar on security and craft. A card is a high-trust product, so speed never comes at the expense of quality. If you want to help change how people plan their purchases, with a customer-first mindset and an eye for both speed and craft, we'd love to meet you. What You'll Do You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For This is a full stack role. You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes. You have a total of 8+ years of experience as a software engineer. You are proficient in developing web apps using declarative UI frameworks like React Native or React or Vue. You are proficient in designing, developing and launching systems at scale. You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. You think AI first and an adopter of latest technologies. You identify trends and safely apply them to the work. Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - P Equity Grade - 13 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA Pacific base pay range (CA, WA, NY, NJ, CT): $230,000 - $290,000 USA Sapphire base pay range (all other U.S. states): $204,00 - $264,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: United States (Remote); Vancouver, British Columbia; Toronto, Ontario; Ottawa, Ontario Workplace: Remote ROLE SUMMARY Join our Builder Platform Team as a Senior Staff Software Engineer. Our mission is to empower a company of builders by delivering a frictionless, standardized, and governed platform for agents, workflows, and core engineering tools. We operate Temporal as customer zero: we partner directly with teams across the company to run their real work on the platform, measure the productivity it unlocks, and feed what we learn back into Temporal’s products and open-source frameworks our customers can adopt. This is a company-level technical leadership role spanning Agents & Workflows, AI Infrastructure, Developer Infrastructure, and Productivity Engineering. You will set the multi-year technical direction for the platform, align teams around clear architectural boundaries and standards, and lead major cross-functional initiatives from ambiguous opportunity through durable adoption and measurable impact. WHAT YOU’LL DO - Set and communicate a multi-year technical vision for the Builder Platform, translating company strategy into an executable portfolio across Agents & Workflows, AI Infrastructure, Developer Infrastructure, and Productivity Engineering. - Lead the architecture and evolution of our Agent Platform, the shared foundation teams across Temporal use to deploy, run, evaluate, govern, and improve their agents and agentic workflows. - Establish and operate our AI Infrastructure, the LLM and MCP gateways every agent and workflow at Temporal runs through, with guardrails, fallback, usage and cost controls, model rollout policies, and clear SLOs. - Implement AI Governance in partnership with Security, Legal, and IT, turning policy into practical controls, approved patterns, and auditability without creating unnecessary barriers. - Architect the agents and workflows that carry engineering work from issue to production and business work from trigger to outcome, and decide which patterns graduate into shared platform capabilities and which stay with the teams that own them. - Own the technical strategy for our Developer Infrastructure (Source Control and CI) and developer tools, including repository standards, access and ownership models, reusable workflows, and CI reliability and cost. - Partner with leaders across Engineering, Product, Sales, and G&A to identify where AI can accelerate work and improve outcomes, and prioritize those opportunities into a company-wide portfolio. - Standardize how Temporal adopts agents and agentic tooling (best practices, paved roads, and enablement), driving adoption across the organization through influence rather than mandate. - Define clear architectural and organizational boundaries across the platform (what is centralized, standardized as a paved road, federated to teams, purchased, or deliberately not built) and make the hard tradeoffs among speed, flexibility, reliability, security, cost, and long-term maintainability. - Measure the platform on outcomes (adoption, velocity, reliability, and cost), with feedback loops that quantify the productivity it unlocks and shape the portfolio. - Own our customer-zero strategy: turn what we learn into validated requirements for Temporal Cloud, the SDKs, and our Agent Harness, drive the feedback loop with product leadership, lead our open-source reference architecture for customer platform teams, and represent the strategy with customers, partners, and the broader technical community. - Develop senior technical leaders, create alignment among engineering leads and managers, and make teams more effective without relying on direct authority. - Participate in on-call rotation while leading systemic improvements that reduce operational burden, address risks before they become company-wide problems, and improve the internal user experience. WHAT YOU’LL BRING - Strong software engineering fundamentals and a track record of setting technical direction and delivering major platform initiatives across multiple engineering teams. - Experience leveraging modern agentic coding tools such as Codex and Claude Code, including defining company-wide best practices and driving adoption across the organization. - Proficiency in one or more programming languages commonly used at Temporal, such as Go, TypeScript/JavaScript, Python, or Java, with deep expertise in at least one relevant domain (developer infrastructure, distributed systems, AI platforms, or platform engineering) and proficiency across several others. - Experience building and operating internal platforms, developer infrastructure, or agent platforms adopted across a company. - Strong judgment in platform-boundary decisions (what to centralize, federate, standardize, buy, or deliberately avoid building) and in tradeoffs among speed, flexibility, reliability, security, cost, and long-term maintainability. - Demonstrated ability to influence engineering managers, senior individual contributors, Security, Legal, IT, Product, and business stakeholders, and to turn ambiguous company objectives into architecture, standards, roadmaps, and coordinated execution. - Experience defining outcome-oriented metrics for developer productivity or AI systems (adoption, reliability, quality, cost, and cycle time) and using them to steer a portfolio. - Clear written communication, including documentation and technical strategy that enable self-service and align teams across the company. - Experience establishing governance through paved roads rather than documentation or approval processes alone. - Evidence of making other technical leaders and teams more effective through mentorship, architectural clarity, and consensus building. NICE TO HAVES - Experience building internal agents and operating an agent platform. - Experience building and operating Temporal applications. - Experience defining or implementing AI governance, model-access infrastructure, or agent evaluation systems. - Experience managing GitHub configuration, policy, and workflows at organizational scale - Familiarity with developer productivity measurement frameworks such as SPACE and DORA metrics. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: United States (Remote); Vancouver, British Columbia; Toronto, Ontario; Ottawa, Ontario Workplace: Remote ROLE SUMMARY Join our Builder Platform Team as a Staff Software Engineer. Our mission is to empower a company of builders by delivering a frictionless, standardized, and governed platform for agents, workflows, and core engineering tools. We operate Temporal as customer zero: we partner directly with teams across the company to run their real work on the platform, measure the productivity it unlocks, and feed what we learn back into Temporal’s products and open-source frameworks our customers can adopt. WHAT YOU’LL DO - Own the strategy, architecture, and operation of our Agent Platform for deploying, running, evaluating, governing, and improving agents and agentic workflows, setting direction and ensuring reliability and scalability. - Architect the AI Infrastructure that agents depend on: LLM and MCP gateways with guardrails, fallback, usage and cost controls, and model rollout policies. - Design, build, and operate agents and workflows that carry engineering work from issue to production and business work from trigger to outcome, scaling them across teams and use cases. - Lead the development and evolution of our Developer Infrastructure (Source Control and CI) and the developer tools that improve builder flow and reduce friction across the company. - Partner closely with stakeholders across Engineering, Product, Sales, and G&A to identify high-impact opportunities where AI can accelerate work and improve outcomes. - Define best practices for agents and agentic tooling, build the enablement materials and paved roads behind them, and proactively drive adoption across the organization. - Establish and drive measurement and feedback loops (usage, reliability, and cost) to quantify the productivity the platform unlocks, inform prioritization, and shape the roadmap. - Lead our work as customer zero: turn what we learn into validated requirements for Temporal Cloud, the SDKs, and our Agent Harness, own the feedback loop with product leadership, and drive our contribution to an open-source reference architecture that customer platform teams can adopt. - Mentor and support engineers on the team, raising the bar on technical design, execution, and use of agents and agentic tooling. - Participate in on-call rotation, while identifying and driving improvements that reduce operational burden and improve the internal user experience. WHAT YOU’LL BRING - Strong software engineering fundamentals and a track record of leading the design, delivery, and operation of production-quality internal platforms or developer tooling. - Experience leveraging modern agentic coding tools such as Codex and Claude Code, including defining best practices and driving adoption across teams. - Proficiency in one or more programming languages commonly used at Temporal, such as Go, TypeScript/JavaScript, Python, or Java, with the ability to make pragmatic, high-leverage technical decisions. - Experience architecting and scaling workflow automation or internal tools (CLI tools, services, GitHub automation, cloud automation, or similar) used across teams or the organization. - Strong judgment about when to standardize versus when to enable flexibility, and how to remove friction without compromising reliability, security, or long-term maintainability. - Comfort leading cross-functional collaboration, including partnering with non-traditional developers and translating ambiguous needs into scalable, well-adopted solutions. - Ability to use data and qualitative feedback together to define success metrics, prioritize effectively, and measure impact. - Clear written communication, including documentation that enables self-service and scales knowledge across teams. NICE TO HAVES - Experience building internal agents and operating an agent platform. - Experience building and operating Temporal applications. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit brings people together around their interests, questions, and experiences. Our communities generate a rich and complex ecosystem of human activity, creating scientific challenges in understanding behavior, measuring impact, and anticipating change. The Data Science Platform team builds the tools that enable a scientific understanding of Reddit. We develop Reddit’s analytics agent, and the shared scientific capabilities and methods that allow data scientists and business partners to answer increasingly sophisticated questions. We are looking for a senior technical lead who combines deep expertise in statistics, machine learning and causal inference with strong software engineering ability. You will establish the scientific direction for agentic analytics, causal inference, and forecasting, turning advances in research into reliable software used across the company. As an Applied Scientist on the Science Platform team, you will work across the full development cycle: identifying important problems, evaluating research, implementing and validating methods, and shipping capabilities that others can use confidently. You will partner closely with software engineers and data scientists to build an analytics agent that can investigate questions, select appropriate methods, execute analyses, and communicate findings with clear assumptions and uncertainty. Responsibilities: Define the scientific roadmap for Data Science Platform across agentic analytics, causal inference and forecasting, identifying opportunities where advances in methodology can improve decision-making at scale across Reddit. Research, evaluate, and implement emerging methods. Move quickly from research papers to working prototypes, validate their practical value, and develop successful approaches into maintained production capabilities. Design and build our analytics agent’s architecture and capabilities, including how the agent decomposes questions, selects scientific methods, uses data and analytical tools, checks assumptions, and produces reproducible results. Build reusable causal inference tools that help teams estimate the effects of product changes, policies, and business decisions using observational data. Develop shared forecasting capabilities for business and product metrics, including probabilistic predictions, hierarchical forecasts, and scenario analysis. Create evaluation frameworks that measure the correctness and usefulness of agent-generated analyses. Build benchmarks, simulations, and automated checks that detect methodological errors, unsupported claims, and misleading interpretations. Own the implementation of scientific methods in production software, writing robust Python code and partnering with engineers on libraries, APIs, data pipelines, observability, and system design. Work with data scientists and business partners to identify recurring analytical needs and translate them into accessible platform capabilities, documentation, and workflows. Influence technical and organizational strategy through clear scientific recommendations, mentor scientists and engineers, and share methodological advances internally and externally where appropriate. Required Qualifications: A doctorate in Statistics, Economics, Computer Science, Applied Mathematics, Operations Research, or a related discipline; alternatively, a master’s degree supported by comparable depth of expertise. At least eight years of relevant industry work following a doctorate, or ten years with a master’s degree, in applied science, data science, scientific software development, or related roles. Deep knowledge of statistical inference and econometrics, with practical experience developing causal methods for observational data and evaluating the assumptions that make their conclusions credible. Experience developing and deploying forecasting systems, including time series modeling, temporal validation, prediction intervals, and assessment of performance as underlying conditions change. Strong software engineering skills, including substantial experience writing and maintaining production Python software. Familiarity with API design, automated testing, code review, version control, and operational monitoring. A demonstrated ability to critically assess scientific literature, reproduce relevant findings, and turn promising methods into reliable software that solves practical problems. Experience developing LLM applications or analytical agents, including tool use, code execution, and systematic evaluation of their outputs. Clear communication of statistical assumptions, uncertainty, and technical tradeoffs to business audiences. Experience developing other technical contributors through mentorship, design reviews, and collaboration across organizational boundaries. The ability to make progress on ambiguous problems, prioritize consequential work, and deliver useful capabilities through rapid iteration. Preferred Qualifications: Publications, open-source contributions, or widely adopted internal tools in agentic analytics, causal inference, forecasting, or other related fields. Experience building scientific libraries or platforms used by other data scientists, including interfaces that make sophisticated methods accessible to people with different levels of statistical expertise. Experience building agents at scale that perform substantive analytical work, including retrieval of relevant data and context, selection of methods, execution of Python or SQL, and validation of findings. Benefits: 100% remote opportunity (we have four office locations for hybrid/onsite work preference in NY, SF, LA and Chicago) Comprehensive Healthcare Benefits and Income Replacement Programs 401K with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-AJ1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $232,500 — $325,500 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Oakland, California, United States About the Job: LaunchDarkly is hiring a Chief of Staff to report to the CEO and partner with the Executive Leadership Team (ELT) as the company continues to scale. This is a senior, individual contributor role for a strategic operator and trusted advisor who thrives at the intersection of strategy, execution, communication, and data. As Chief of Staff, you’ll help translate company strategy into action, shape executive-level planning and decision-making, and ensure leadership discussions are grounded in clear insights and high-quality materials. You’ll operate with significant autonomy, exercise wide latitude in how work gets done, and act as a thought partner to senior leaders across the organization. This role is ideal for someone with deep experience navigating complex, cross-functional environments and a strong executive presence who is excited to have broad influence without people management responsibilities. Responsibilities: Strategic Leadership & Cross-Functional Execution Partner with the CEO to drive company-wide strategic initiatives from conception through execution. Help align the Executive Leadership Team and broader organization around priorities, tradeoffs, and outcomes. Proactively identify risks, dependencies, and gaps across critical initiatives and surface insights to leadership. Act as connective tissue across executives and teams to ensure strategy translates into coordinated action. Operating Cadence & Company Planning Shape and support LaunchDarkly’s operating rhythm, including owning OKRs and leadership planning processes. Design and evolve planning frameworks that enable effective executive decision-making. Support annual and long-range planning cycles, synthesizing inputs and highlighting strategic implications. Executive & Company Communications Lead the preparation and refinement of executive-level materials, including Board meeting materials and ELT presentations.  Ensure executive content is clear, concise, decision-oriented, and aligned with company strategy. Data, Insights & Analysis Partner on executive dashboards and reporting, ensuring metrics are accurate, consistent, and actionable. Analyze and understand data to inform strategic decisions and evaluate proposed initiatives. Translate analysis into clear recommendations for senior leadership audiences. Executive Meetings & Offsites Design agendas and content for executive meetings and off-sites with a focus on alignment and outcomes. Capture key decisions, clarify next steps, and support follow-through across the organization. Qualifications: Typically requires a minimum of 15 years of related experience, preferably in senior-level roles involving strategy, operations, consulting, finance, product operations, or executive advisory work. Demonstrated success partnering closely with executive leaders and influencing at the highest levels of an organization. Exceptional written and verbal communication skills, with the ability to distill complexity into clear, compelling narratives. Strong analytical capabilities and comfort working with SaaS metrics and executive-level data. Ability to manage multiple, high-impact workstreams with sound judgment and prioritization. High degree of discretion, integrity, and emotional intelligence. Pay: Target pay ranges based on Geographic Zones* for Level 6: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $ 240,600 - $330,700 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $ 216,500 - $297,600 ** Zone 3: All other US locations - $ 204,500 - 281,100 ** All Zones Inclusive of 10% 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: Canada What the Role Is We’re hiring a Staff Software Engineer who’ll be the technical lead for a new Search team at Babylist. This new team will be focused on moving Babylist’s search capability in-house, making our search results more relevant and personalized, and partnering with other teams to transform search in the product from functional to delightful. Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting search and personalization problems in consumer e-commerce. This is zero-to-one work, with big ambitions. You’d build a search capability from the ground up, with a clear mandate from leadership to do it. In your first year, we expect to have rebuilt search to be highly relevant and personalized, and delivered big bets like universal search: one experience across items we sell and items from other retailers, and across products, guides and registries. We also want to work with Addie, our AI registry assistant, to have LLMs play a role in the search experience. If you want to tune an established search system, this isn’t the right role. If you’ve worked inside a strong search team and want to build a new system from scratch at a company earlier in that journey, read on. What You'll Own A Staff Engineer at Babylist sets direction. You’ll be the technical lead for search: you decide where it goes over the next year or two, sequence the bets that get there, and make the technical and product calls along the way. You’re still in the code and will drive initiatives forward across multiple teams. You’ll have software engineering and machine learning engineering support on the team. A few examples of initiatives you’d drive on the Search team: Build search in-house. Choose the architecture for indexing, retrieval and serving, and plan a seamless migration. The system you design replaces what we use today and is the foundation for everything below. Define what a good result is. Decide how we measure result quality, then improve it through query understanding, ranking and the behavioral signals we collect. Unify search across everything we show. One experience across items we sell and items from other retailers, and across products, guides and registries, including how to rank items we don’t sell next to ones we do. Decide how search and recommendations fit together. Bring what we know about a user and their registry into results, and decide how much retrieval and ranking search shares with our recommendation models. Make search conversational. Work with the Addie team, our AI registry assistant, on queries like “best stroller for urban family,” where the shopper describes a need instead of naming a product. Like every Staff Engineer here, you will: Take a fuzzy business problem from the first sketch through to production, and stay on the hook for whether it actually helped customers. Build the platform or tooling other teams adopt by choice, and own it as it scales. Set the standard for how search builds with AI. Decide what good looks like, build the patterns and evals that get agents there and catch the output that's confidently wrong before it ships. Partner with product, design and data as a peer, shaping what's worth building from the start. Coach Senior engineers through the hard calls, the ambiguous ones as much as the technical ones Who You Are You meet the Staff bar at Babylist. You’ve shipped production systems for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You’ve already changed how a team builds with AI, and the new way stuck. On top of that, you’ve worked on search problems before, ideally in an e-commerce setting. This role needs depth in the systems behind search and a clear focus on the people using it. You bring: Hands-on search experience: building and running search in production, including indexing, retrieval, ranking and query understanding. You know how to keep a search service fast, relevant and reliable as traffic and catalog size grow. Experience evaluating search quality: offline and online, including relevance judgments and A/B tests. A focus on the user: you use query data, behavior and judgment about result quality to decide what to build, and you can connect a search change to what shoppers do, and to conversion or revenue. Comfort building from zero: you can define the problem, design the system and own it end to end. You measure yourself by impact: a customer outcome, or a system a dozen teams come to depend on. Compensation We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is $299,300 to $372,600 CAD, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $359,160 to $447,120 CAD. On top of that you get meaningful equity and an RRSP match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things to Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address