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Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for a smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Masters or PHD is required Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $25 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

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 . Team Description The Privacy and Compliance Engineering team is responsible for preparing Reddit’s platforms for evolving regulatory requirements. We’re building products that establish the foundation of trust in the Reddit platform, while partnering closely with teams across the company to ensure our platforms and features meet the highest standards. Engineers on this team will thrive in dynamic, ambiguous problem spaces and work across multiple domains and technology stacks. Role Description We’re hiring a GRC Software Engineer to build and improve the software that supports Reddit’s security and compliance programs. You will design, implement, and maintain integrations, data pipelines, scheduled workflows, and automated checks across cloud, identity, HR, finance, code, and ticketing systems. Working closely with engineering and business partners, you’ll translate requirements into reliable tools that surface issues early and reduce manual work. You’ll own projects from discovery through launch, make clear technical trade-offs, and establish sustainable support with engineering partners. How You’ll Have Impact: This role will make Reddit’s compliance programs more effective and scalable by building systems that help teams address requirements early and automate recurring assurance work. You’ll work with engineers and control owners to define clear requirements, deliver practical solutions, and follow through after launch. Your work will improve how controls operate, make evidence more timely and reliable, and surface gaps sooner. Success means dependable systems that teams continue to use, less manual work, faster remediation, and clearer visibility into risk. What You’ll Do: Own software projects from discovery through launch: work with partners to define the problem, agree on success measures, make technical trade-offs clear, deliver the solution, and follow through on results. Lead efforts to automate evidence collection across key systems in scope for SOX and other compliance requirements. Work with control owners and system teams to define evidence requirements, build and validate integrations, monitor failures, and establish ongoing support. Build and maintain integrations and scheduled workflows across cloud, identity, HR, finance, ticketing, version control, CI/CD, and GRC systems. Use APIs, scripts, queries, and orchestration tools to collect, normalize, validate, and retain data from authoritative systems. Own authentication, data modeling, testing, monitoring, failure recovery, documentation, and maintenance. Design data models that connect risks, controls, assets, owners, systems, and evidence across sources with different schemas, identifiers, permissions, and data quality. Build automated checks that detect missing, stale, inconsistent, or out-of-policy data, and route actionable failures to the right owners. Turn control requirements and audit requests into data specifications, testable checks, and exception logic. Partner with control owners to validate system scope and resolve gaps. Build strong working relationships across Security, Engineering, Infrastructure, Product, Privacy, Legal, and Finance. Learn how their systems operate and deliver tools, monitoring, and runbooks they can rely on after launch. Role Requirements: 7+ years of experience in security, compliance, automation, data integration, security engineering, or a related technical field. Hands-on proficiency with Python, Go, or a comparable language and SQL, including writing, testing, reviewing, and maintaining code used by other people or operational workflows. Experience building API-based integrations using REST APIs, webhooks or polling, authentication flows, pagination, rate limits, error handling, and structured data formats. Experience building scheduled data workflows with an orchestrator such as Airflow and moving validated data between enterprise SaaS systems, databases, and cloud object storage. Technical fluency with a major cloud platform and its identity, storage, logging, monitoring, and secrets-management services; GCP experience is helpful but not required. Experience with version control, automated testing, code review, CI/CD, observability, secure credential handling, failure recovery, and the runbooks needed to support an integration after launch. Practical knowledge of security and compliance controls, including how requirements translate into system design, evidence, testing, and remediation. Experience applying one or more relevant frameworks or regulatory requirements, such as SOC 2, ISO 27001, SOX ITGC, NIST CSF, EU DSA, or EU NIS 2. Demonstrated ability to earn trust and influence without authority by listening carefully, making risk and technical trade-offs clear, reducing partner burden where possible, addressing concerns directly, and following through on commitments. You can independently own complex projects from discovery through launch and measurable results. Benefits: 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 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: $190,800 — $267,100 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: 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 AI ENGINEER We're looking for a Staff AI Engineer to lead some of Moxie's highest-impact AI projects in Q4 2026 and H1 2027, including Maia, the Context Engine, and AI drafts. 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 our AI systems and shared AI platform. You'll join the Client Experience team and work day to day with Product, Design, QA, Operations, and your engineering peers. You'll inherit live LLM features and a growing shared platform underneath them, including customer-facing systems where quality is visible to patients and providers. The bar is production, not demos. OUR OBJECTIVES FOR THE ROLE - Become a primary IC on Moxie's AI initiatives. Within your first month you're contributing to production AI systems, understanding our architecture and key workflows, and identifying opportunities for improvement. By month three you're a leading technical contributor on one or more AI initiatives, including Maia, AI drafts, or the Context Engine. - Ship early wins that improve AI quality and reliability. Within your first two months, deliver targeted fixes and improvements to known failure modes, evaluation coverage, or production reliability, with measurable evidence that they worked. - Lead a major AI project from design to production. Take one meaningful AI initiative through design, architecture review, cross-functional collaboration, and launch, including the evaluation and guardrail systems needed to operate it reliably. By month six, lead a second, more ambitious initiative 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 AI architecture and shared platform. - Make AI quality measurable and scalable. Within six months, our AI features have measurable quality scorecards, regressions are caught before production, and the Context Engine is becoming the standard data path for AI surfaces, supported by shared evaluations, guardrails, and observability. - Own non-project technical initiatives and engineering culture. Start owning at least one org-level initiative in your first three months (for example AI evaluation standards, agentic SDLC improvements, code review practices, or documentation culture), 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. - Production LLM experience. You've led the design and delivery of LLM agents or generative features that real customers depend on, not just prototypes or internal tools. - Technical leadership and engineering standards. You've improved engineering practices, influenced peers across teams, and worked with Product, Design, and engineering leadership to resolve complex decisions and raise the technical bar. - AI evaluation and quality engineering. You've built evaluation systems for production AI, combining automated tests, agent traces, human feedback, and production monitoring to measure quality, catch regressions, and continuously improve reliability. - Sound agent and tool design. You know when to use deterministic code versus an LLM, design safe tool boundaries and human handoffs, and manage reliability, security, latency, and cost tradeoffs. You make pragmatic build-versus-buy and model-provider decisions. - Strong backend and platform engineering. You're comfortable with Python and Django, Postgres, Redis, async workers, and REST or GraphQL, and can design shared AI infrastructure with clear contracts, caching, and tenant isolation. This is not a role for someone who starts by swapping models or rewriting prompts before measuring what is actually broken. WHY JOIN US? - Ship production AI that patients and medspa staff use every day. Maia answers medspas' texts and calls, and AI drafts go out from the provider's own number, so your work is visible to real people. - Breadth across several AI products and the shared platform underneath them, with real architectural influence as a decision-maker on the architecture review board. - A proprietary data advantage. You'll build on clinical and practice data from roughly 1,200 medspas that competitors can't access. - High-trust, high-ownership IC work at staff level, with a say in the AI roadmap and in how Moxie builds AI. - 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. - Competitive salary 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: Poland Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are looking for an experienced AI Tech Lead with a strong .NET engineering background and hands-on expertise in building production-grade AI solutions.In this role, you will lead the technical direction of an AI engineering team responsible for designing, developing, and operating intelligent capabilities within the Creatio platform.You will work on the AI agent platform that enables AI agents to safely perform real work within enterprise workflows — interacting with tools and APIs, accessing business data, maintaining context and memory, enforcing permissions, and collaborating with humans when needed.This is a hands-on technical leadership role that combines software architecture, advanced AI engineering, team mentorship, and active involvement in development.We are looking for someone who can make architectural decisions, solve complex engineering challenges, introduce modern AI development practices, and help the team deliver reliable, secure, and scalable AI-powered solutions.Responsibilities:Lead the development of architectural solutions, including AI-powered features, agentic workflows, RAG-based solutions, and LLM integrations.Drive continuous optimization of development processes; introduce modern tools, AI-assisted development practices, engineering standards, and quality improvements.Facilitate team ceremonies: backlog refinements, sprint planning, and sprint reviews (demos).Take an active part in backlog execution: pair programming, complex development, code reviews, and mentoring.Collaborate closely with stakeholders and product managers to define technical direction and translate business requirements into technical solutions.Guide the design and implementation of AI agent architectures, including tool calling, orchestration, context and memory management, permissions, and guardrails.Ensure high quality through automated testing, AI evaluations, observability, and continuous monitoring of production AI solutions.Monitor and guide incident response (4th-line support), ensuring SLA compliance and issue resolution.Actively contribute to knowledge sharing, team development, and continuous improvement.Requirements: Must have:6+ years of professional software engineering experience, with strong expertise in C# and .NET.3+ years of experience in a Tech Lead or Team Lead role, including architectural decision-making, technical ownership, and mentoring.Hands-on experience building and delivering LLM-powered applications to production.Strong understanding of AI agent architectures, including tool calling, orchestration, context management, and agent frameworks.Knowledge of prompt engineering, AI evaluations, observability, and AI security best practices.Proficiency with AI coding agents (Claude Code, Cursor, Codex, or similar tools) in daily development.Strong knowledge of software architecture, distributed systems, REST APIs, and backend engineering principles.Experience with relational databases, automated testing, CI/CD, and cloud-native development.English level: Upper-Intermediate or higher, with strong communication, leadership, and problem-solving skills.Nice to have:Experience with MCP, multi-agent systems, and advanced agent orchestration.Practical experience with RAG, embeddings, vector/hybrid search, and LLM integrations.Knowledge of LLMOps practices, including evaluation pipelines, monitoring, and cost optimization.Experience with AI platforms such as Anthropic API, Azure OpenAI, AWS Bedrock, or Google Vertex AI.Python experience for AI development, prototyping, or automation.Experience with Kubernetes, enterprise SaaS products, or low-code/no-code platforms.What to expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Boston 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.   FUNCTION OVERVIEW Harvey's Legal Engineering team is composed of former practicing attorneys who work to bring value to Harvey's prospects and customers. Legal Engineers lead discovery, demos, trainings, and onboarding alongside our AEs and CSMs. They translate real legal work into Harvey solutions, serving as the trust layer across the entire customer lifecycle, from the first pilot to the most complex, custom-built workflow.   At Harvey, we segment the Legal Engineering function into three teams: Legal Engineers (Pre-Sales), Legal Engineers, Product Specialists (Post-Sales), and Legal Engineers, Custom Solutions (Pre- and Post-Sales). Legal Engineers across all three subgroups understand how lawyers think and work, and use that expertise to design, build, and refine solutions that hold up under live in-practice pressure. In doing so, they don't just drive adoption; they shape Harvey's product roadmap, ensuring every release is grounded in what the legal profession needs. It's a team built to power Harvey as the platform lawyers can trust with their most important work.   You may be asked to travel around 2-3+ times per month. Travel is always for a significant business need and typically is for 1-3 days at a time.   WHAT YOU'LL DO Legal Engineer (Pre-Sales) Legal Engineers are lawyers who left practice to help build the future of legal work. Working closely with Account Executives, they engage with many of the world’s leading law firms and legal teams throughout the pre-sales process. They lead collaborative pilot programs, guide prospects through what’s possible with AI, and work alongside lawyers to understand their workflows, build tailored solutions, and demonstrate meaningful value in real legal use cases. Along the way, they bring prospect feedback back into the product, helping shape the future of Harvey.   Legal Engineer, Product Specialist (Post-Sales) LEPS take over once a prospect becomes a customer. LEPS build trusted relationships with many of the world's leading legal teams by learning their workflows and showing them how to weave Harvey into daily practice. The LEPS role spans the entire customer journey, from leading onboarding and enablement, to sitting down with a full practice group to build agents on real matters. Along the way, the LEPS translates legal practice needs into actionable feedback for product and engineering, contributes to customer-facing content across practice areas, and upholds Harvey's credibility as the leading AI platform for lawyers.   Legal Engineer, Custom Solutions (Pre-Sale and Post-Sale) LECS are a specialist group that work on complex no-code custom Harvey in-app solutions. LECS meet with group heads, general counsel, and other senior stakeholders to learn how key processes run today. Drawing on their legal expertise, they use natural language prompting to design bespoke resources, including agents, playbooks, and other tools, that improve the quality, speed, and experience of that process. The build is collaborative. The LECS scope it with the customer, prototype against sample documents, and refine it alongside their team. Most LECS work happens post-sale, but the team also supports strategic accounts pre-sale on an advisory basis. LECS concentrates narrowly on designing tools that automate a specific process, and on building relationships with the senior leaders who own it.   *In your initial interview with our recruiting team, you'll learn more about all three roles, and we'll identify which may be the best fit based on your background and our current hiring needs.   WHAT YOU HAVE - JD or equivalent legal qualification. - 3 + years of practicing law in-house, at a top-tier law firm, or advising a sophisticated corporate legal team. - Strong understanding of the workflows, challenges, and demands of law firms, including balancing legal risk with business priorities. - Executive presence and relationship-building skills, with the ability to establish credibility with legal and business stakeholders at all levels. - Outstanding communication and presentation skills — comfortable leading a live demo, facilitating a workshop, or engaging in strategic customer conversations. - Deep curiosity about AI's potential to transform legal work, paired with a practical, solutions-oriented mindset and bias toward action. - Track record partnering with senior stakeholders to drive results, with curiosity for testing approaches and optimizing for customer outcomes. - Cross-functional experience (business, ops, compliance, product), sales/customer-facing experience (law firm BD, secondment), and/or hands-on experience using AI tools in legal practice are all pluses.   COMPENSATION $220,000 - $320,000 USD OTE 75/25 split   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-LS1 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: Chicago, New York City DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Team: As AI tools drive immense value across the firm, our organization faces a "Dual Mandate": providing low-friction access to the best frontier AI tools while strictly managing an exponentially growing cost curve. The newly formed AI Platform Team owns this unified mission. While the engineering side of our team builds the platform rails, the AI Platform Support & Enablement focus area acts as the crucial "human-in-the-loop." We are dedicated to ensuring high user velocity and frictionless adoption of AI tools while actively managing firm-wide cost efficiency and user education. The Role: We are seeking AI Enablement Engineers to own the data plane user experience. You will be the face of AI tooling for the firm, supporting developers and business users who use tools such as Cursor, Devin, ChatGPT, and LibreChat. Key Responsibilities: Own the support queue for enterprise generative AI tools. Troubleshoot IDE integrations (Cursor, Devin), chat interfaces, and access issues. Actively consult with high-spending teams to safely "downshift" their workloads from expensive proprietary models (like Claude Opus) to cheaper mid-tier or internal open-weight models without degrading output quality. Review manual quota-increase requests triggered by the Management Plane and guide users through spend visibility via internal dashboards. Identify weaknesses in tooling, prompt engineering, or model routing, and feed user pain points directly to the AI Platform Engineering focus area to inform the technical roadmap. Promote and evangelize effective, responsible use of enterprise AI tools, for example, by helping users understand and adopt AI 'golden paths', sharing success stories, and leading workshops. Required Qualifications: Strong customer-facing communication skills and a "white-glove" support mentality. Technical fluency in prompt engineering and a deep, practical understanding of current LLM capabilities, behaviors, and limitations. Familiarity with developer environments, IDEs (VS Code, Cursor) and CLI tools (such as Claude or Codex), is a major plus Strong context of internal firm culture, user base, and existing support channels. The annual base salary range for this position is $175,000 to $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-VD1

Location: Egypt About the Role We are a US-based upskilling and training company serving MENA, partnering with global tech leaders like AWS, Google, and Salesforce to deliver large-scale learning programs to software engineers, teachers, and tech professionals across Egypt, KSA, UAE, and the broader MENA region. We’re looking for a Sr. Growth Copywriter who can produce 10x the output of a traditional copywriter by mastering AI-assisted writing workflows. You’ll own all written content across 3 programs, 12+ channels, and 2 languages ,  from ad copy and landing pages to email sequences and community posts. This is not a “write one blog post a week” role. You’ll be producing hundreds of copy variants per month, using AI as your co-writer while you provide the strategic direction, brand voice, cultural nuance, and human polish that AI alone can’t deliver. Key Responsibilities Ad Copy & Creative Messaging • Write high-converting ad copy for Meta, Google, YouTube, TikTok, Snapchat, and X campaigns across 3 programs • Produce 50+ ad copy variants per campaign using AI tools, then curate and refine the top performers • Adapt messaging per market (Egypt, KSA, UAE) ,  understanding cultural nuance, local slang, and what resonates in each audience • Collaborate with the Perf. Marketing Manager on A/B test hypotheses for headlines, CTAs, value propositions, and hooks • Write in both English and Arabic (or work closely with AI translation + native review for Arabic copy) Email & WhatsApp Nurture Sequences • Write full lifecycle email sequences: welcome series, activation nudges, progress reminders, re-engagement, and completion celebrations • Craft WhatsApp broadcast messages optimized for MENA engagement patterns (concise, conversational, action-oriented) • Personalize messaging by program, user segment, and behavior stage ,  using AI to generate variants at scale • Work with the Perf. Marketing Manager to optimize open rates, click rates, and conversion rates through copy experiments Landing Pages & Web Copy • Write and optimize landing page copy for each program ,  headlines, sub-headlines, benefit blocks, social proof, and CTAs • Produce multiple landing page variants for A/B testing across different audiences and markets • Write SEO-optimized content for organic acquisition: blog posts, educational articles, and YouTube descriptions Community & Social Content • Write engaging social media posts for community channels (Discord, Telegram, LinkedIn, Twitter/X) • Draft influencer brief documents and UGC prompts in collaboration with the Brand Manager • Write scripts or talking points for video content (YouTube Shorts, TikTok, Reels) in collaboration with the Design team • Create community engagement content: challenges, polls, discussion starters, success story features Brand Voice & Content Strategy • Maintain and evolve the brand voice guidelines for all written content across programs • Work with the Brand Manager (Nada) on brand positioning, messaging hierarchy, and content calendar • Ensure consistency across all touchpoints ,  from a TikTok ad to an email sequence to a landing page • Document winning copy patterns, hooks, and templates in the team’s knowledge base for reuse AI-Specific Responsibilities This is an AI-Adapted role. You will be expected to: • Use AI writing tools (Claude, ChatGPT, Jasper, Copy.ai, or similar) as your primary drafting engine ,  you prompt, AI drafts, you refine • Build reusable AI prompt libraries for each content type: ad copy, email sequences, landing pages, social posts, and more • Use AI for rapid translation and localization of English content to Arabic ,  then apply human cultural polish • Generate 50–100 copy variants per campaign using AI, then select, combine, and refine the strongest options • Design AI-assisted content workflows that let the team produce content at 10x speed without sacrificing quality • Use AI for competitive copy analysis: analyze top-performing ads in the market and extract patterns • Train AI tools on brand voice, tone guidelines, and past winning copy to improve output quality over time Requirements Must-Have • 3–5 years of experience in growth copywriting, performance copywriting, or direct-response marketing • Strong portfolio showing high-converting ad copy, email sequences, and landing pages • Experience writing for digital ad platforms (Meta, Google, TikTok) with understanding of character limits, format constraints, and platform-specific best practices • Experience writing email marketing sequences with measurable results (open rates, click rates, conversion rates) • Proven ability to write for different audiences and adapt tone/messaging per segment • Understanding of copywriting frameworks (AIDA, PAS, Before-After-Bridge, etc.) and when to apply each • Fluent in English with strong writing skills; Arabic writing ability is a significant advantage • Experience working in a fast-paced environment producing high volumes of content Nice-to-Have • Experience in EdTech, SaaS, or tech upskilling platforms • Experience writing for MENA audiences in both English and Arabic • Background in SEO content writing and organic growth • Experience with video scripting for short-form content (TikTok, Reels, Shorts) • Familiarity with UX writing and product copy for registration/onboarding flows • Experience with community content strategy (Discord, Telegram, Slack) AI Tools & Skills Required • Demonstrated daily use of AI writing tools with examples of AI-assisted output • Ability to write detailed, specific prompts that produce on-brand, high-quality copy from AI tools • Experience building prompt templates or libraries for repeatable content types • Understanding of AI limitations: knowing when AI output needs heavy editing vs. light polish • Experience using AI for translation, localization, or multilingual content production • Willingness to continuously learn new AI writing tools and workflows as they emerge What We Offer • Work at the cutting edge of AI-assisted content creation ,  define how the next generation of copywriting works • Own all written content across AWS, Google, and Salesforce programs reaching 310K users • Small, senior team where your words directly drive acquisition and completion metrics • Remote-first culture with flexibility • Dotted-line collaboration with Brand Manager for creative direction and with Designers for visual storytelling • Competitive salary

Location: Paris Workplace: Hybrid ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. TEAM Our Corporate teams support the company’s performance and growth whilst putting people at the core of everything they do. As a French tech leader and global successful company, our Corporate teams are constantly looking for ways to innovate and increase organization efficiency to keep Voodoo ahead of the market. Voodoo’s Corporate function is composed of three teams: HR, Legal and Finance, working together to drive Voodoo’s success. ROLE We're looking for a Treasury Project Manager to join our Corporate team on a 6-month fixed-term contract. In this role, you'll drive the transformation of our treasury operations by identifying inefficiencies, implementing automation, and strengthening financial controls across our global entities. - Support day-to-day treasury operations when needed, ensuring continuity across the team - Gain a deep understanding of daily cash management and liquidity monitoring across France and international affiliates using Kyriba TMS and electronic banking platforms - Design and implement automated workflows leveraging AI and Kyriba to reduce manual workload (automatic bank statement analysis, automated bank notifications, budget code entry, etc.) - Monitor and validate the effectiveness of newly implemented workflows, iterating as needed - Analyse the current cash forecasting process and identify areas for improvement - Propose and implement enhancements to the cash forecasting methodology, including the potential rollout of new Kyriba modules - Assess the existing workflow between purchase orders, invoices, and payments to identify fraud risk exposure - Design and implement controls and tracking mechanisms to mitigate fraud risk and ensure end-to-end traceability between POs and payments PROFILE - Master's degree in Finance or Accounting (business school, engineering school, or university) - Minimum 4 years of experience in cash management, combined with a proven track record in project management - Hands-on experience with Kyriba TMS and electronic banking platforms - Proficiency in AI tools, including the ability to craft effective prompts with clear context, expected output formats, and examples - and to design appropriate safeguards (e.g. preventing cell overwrites, balance discrepancy checks, alert setup) - Strong analytical mindset with the ability to challenge existing processes and propose pragmatic improvements - Rigorous, proactive, and autonomous, with a strong sense of ownership - Comfortable working in a fast-paced, international environment - Fluent in both French and English (spoken and written) BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Location: Ukraine; Czech Republic; Bulgaria; Latvia; Hungary; Lithuania; Bosnia & Herzegovina; Estonia; Serbia; Poland; Khazakstan; Armenia; Türkiye; Romania; Slovakia Workplace: Remote Location: Fully Remote (CET) Start Date: ASAP Language: Fluent English required Type: Full-time (Contractor) – 3-month contract to start, with the opportunity to extend ABOUT THE OPPORTUNITY Pragmatike is recruiting on behalf of a fast-growing AI consumer technology company seeking a Product Designer to create intuitive, engaging, and high-quality digital experiences across mobile and web platforms. You'll play a key role in shaping the user experience of a product used by millions of people worldwide, working across customer journeys, new features, and interactive interfaces. Working closely with product managers and engineers, you'll own the design process from initial concepts and prototypes through to final implementation. This role is ideal for a hands-on designer with strong visual instincts, excellent attention to detail, and a passion for building polished consumer products. WHAT YOU'LL DO - Design intuitive and visually engaging user experiences across mobile and web applications. - Create and optimize customer journeys, including onboarding, daily interactions, and new product features. - Translate product requirements and user needs into wireframes, prototypes, and high-fidelity designs. - Own design initiatives end-to-end, from initial concepts through to final implementation. - Collaborate closely with product managers and engineers to deliver high-quality product experiences. - Use user feedback, research, and product data to identify opportunities for improvement. - Contribute to the development and evolution of the company's design system. - Maintain consistency, usability, and visual quality across different product experiences. - Stay up to date with design trends, emerging technologies, and best practices in consumer product design. WHAT WE'RE LOOKING FOR - 5+ years of experience in Product Design, UX/UI Design, or a similar role. - Proven experience designing mobile and web products in B2C environments, ideally at scale. - A strong portfolio demonstrating excellent visual design, product thinking, and attention to detail. - Experience creating polished, intuitive, and user-friendly digital applications. - Strong understanding of UX principles, interaction design, prototyping, and design systems. - Proficiency with industry-standard design tools such as Figma. - Ability to take ownership of design projects and deliver high-quality work independently. - Strong collaboration and communication skills. - Fluent English. NICE TO HAVE - Experience working on AI-powered products, conversational interfaces, or interactive applications. - Background in UX research, including planning studies and integrating user insights into design decisions. - Familiarity with prompt engineering and AI-assisted design workflows. - Experience building or scaling a design system from scratch. - Experience working on consumer applications with highly engaged user communities. WHY JOIN? This is an opportunity to shape the user experience of an innovative AI consumer product used by millions of people worldwide. You'll have the opportunity to influence key product experiences, work closely with product and engineering teams, and bring your design ideas to life in a fast-moving environment. The company offers flexible working hours, generous vacation policies, a fully remote work environment, and the opportunity to influence the future of AI-powered consumer experiences. Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You may request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Location: Bangalore At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our  Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate  innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary: The Advanced Customer Engineer-Level 1 provides the second level of expertise and service to ensure all the Reltio customers get the best possible experience. This position requires an understanding of the Reltio application stack from the front end to the database layers and analysis of break-fix cases and the ability to efficiently investigate and resolve complex issues. Job Duties and Responsibilities: Develop and implement algorithms/techniques for solving problems in a high-volume and high-availability environment. Take complete ownership of knowledge of Reltio Platform features, components, and integrations. Build and implement scalable and accurate monitoring and metric tools and frameworks. Analyze customer needs and software requirements to determine configuration accuracy in solving issues and incidents. Provide quality technical support assistance, resulting in high customer satisfaction. Monitor performance, stability, and consistency of the Platform to facilitate the delivery of well-rounded decision-making in connection with product development and delivery. Resolve customer technical issues through collaboration, reproduction, UI/API/performance debugging, and troubleshooting. Remain abreast of technological advancements to identify cutting-edge and new pragmatic approaches to building sustainable solutions, including applying pragmatic approaches to deliver solutions and fixes to critical customer-facing obstacles. Provide alternate solutions and exercise independent judgment in developing methods, techniques, and evaluation criteria that lead to prompt resolution of issues. Learn and keep up-to-date on the latest product functionality, dependencies, underlying architecture, and their operational impact. Gain an understanding of MDM, NoSQL, Data structures, Service architecture, and System design through documentation. Collaborate with support, product management, and core engineering team members to obtain information on project limitations, capabilities, performance requirements, and interfaces. Represent Reltio in Customer meetings as an Engineering expert to provide clear and deep knowledge of customer issues and impacts. Share and develop best practices with team members to enhance the quality and efficiency of customer support and contribute to the knowledge base. Identify opportunities for continuous improvements to Reltio cloud-based platforms (AWS, CGP, and Azure). Participate in a 24x7 on-call rotation and provide after-hours support for critical customer and platform issues. Respond to high-priority incidents within established service level objectives. Support weekend shifts or /on a rotational and/or business-required basis. Other duties and responsibilities as assigned. Skills You Must Have: Bachelor of Science degree  in computer science or equivalent with 5+  years of experience. 2+ years developing on large-scale enterprise systems. Experience in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis. Understanding of API design principles, authentication mechanisms, and integration. Knowledge of web UI development with JavaScript frameworks. Working knowledge of scalable and distributed data systems using distributed file systems, Java, and cloud technology. Experience with NoSQL databases and distributed indexes. Understanding of performance and profiling techniques of complex systems. Hands-on  analytical and troubleshooting skills. 2 years of experience developing Master Data Management (MDM) software with several full life cycle implementations in Reltio Cloud. 2 years of experience with enterprise-focused applications including data management, analytics, and big data platforms and technologies with MDM, AWS, GCP, Azure, Reltio Cloud. 2 years of experience configuring & validating the Comparator, Match tokens, Match & Merge setup, and survivorship rules in MDM on Reltio Cloud. 1 year of experience in using version-controlling software including Bitbucket, VSS, SVN for storing and promoting the code. Skills That Are Nice to Have: Bachelor of Science degree  in computer science or equivalent experience. Object oriented programming and designs, Data Structures and Algorithms. Experience in data management, master data management, analytics, and big data platforms and technologies. Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Мы ищем продуктового аналитика, который поможет превращать бизнес-задачи и идеи в понятные, реализуемые AI-решения и MVP В этой роли вы будете находить точки применения AI, прорабатывать концепцию решения, определять состав MVP и формировать качественные постановки для AI-разработчиков Задачи Погружаться в бизнес-задачи и выявлять возможности для применения AI Формировать и описывать концепцию AI-решения: что делаем, для кого, какую проблему решаем и какой результат хотим получить Определять границы MVP и приоритизировать функциональность Описывать пользовательские сценарии и бизнес-логику работы AI-решения Формировать подробные требования и постановки для AI-разработчиков Определять необходимые данные, источники, интеграции и ограничения Совместно с разработчиками прорабатывать техническую реализуемость решений Участвовать в формировании критериев готовности и приемки MVP Тестировать готовые решения с точки зрения бизнес-сценариев и пользовательского опыта Анализировать результаты MVP и формировать предложения по его дальнейшему развитию Следить за новыми AI-инструментами и подходами и оценивать возможность их применения в бизнесе Требования Опыт работы продуктовым или бизнес-аналитиком, системным аналитиком, Product Owner или в смежной роли Умение переводить неструктурированную бизнес-задачу в понятные требования для разработки Опыт формирования MVP и декомпозиции продукта на функциональные блоки Понимание принципов работы современных AI/ML-решений и LLM Понимание таких подходов, как RAG, AI-агенты, prompt engineering, работа с LLM API на уровне, достаточном для постановки задач и обсуждения решений с разработчиками Навыки описания user stories, use cases, бизнес- и функциональных требований Умение работать с данными и понимать ограничения качества/доступности данных Сильные коммуникационные навыки: предстоит много взаимодействовать с бизнесом, разработчиками и другими участниками проекта Способность быстро разбираться в новых технологиях и предметных областях Стек технологий: N8N, API, GIt, RAG, SQL (Teradata, MS SQL, Postgres, Oracle), BI-системы (Tableau, Power BI, Qlik, DataLens), Python Условия Ты будешь находиться на пересечении продукта, бизнеса и современных AI-технологий и сможешь напрямую влиять на то, какие AI-решения появляются в компании и какие бизнес-задачи они решают Если тебе интересно не просто анализировать требования, а придумывать и быстро упаковывать AI-решения в работающие MVP тогда эта позиция точно для тебя

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: Bellevue Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION We're seeking a Principal Product Manager to help advance our Agentic Automation vision by giving enterprises the means to see, trust, and govern every agent they run, whether it runs on UiPath or somewhere else. Your scope spans three connected areas. Traces and observability capture the end-to-end record of what an agent did, what it cost, which model and configuration it used, and why. Those traces are the single source of truth for what happens across the UiPath platform, covering agents and every service that joins our trace infrastructure. Agent identity establishes who owns an agent, who it acts for, and what it's allowed to do. Governance ties the two together, and you'll be the Agents team's bridge to UiPath's broader platform governance. Across all three, you'll help define patterns the industry is still inventing, including OpenTelemetry for agents, cross-platform trace exchange, delegated permissions for agents, and policy and audit for non-deterministic systems. This is a high-agency, AI-native role. You won't be running status meetings. You'll be deep in the product: reading traces, prototyping with coding agents, talking with customers and FDEs, and turning what you learn into crisp direction for the engineers who build it. Influence, not headcount, will be your default leverage. Your north star is simple. Every agent in production should be visible, attributable, and governable. A builder should be able to debug a failed run in minutes. A finance owner should be able to trust the cost numbers. A security team should be able to answer "what did this agent do, and on whose behalf?" without opening a ticket What you'll do at UiPath - Collaborate and help drive the multi-year vision for agentic observability and governance, across the UiPath platform and the outside agents it works with. - Own traces end to end. That covers the schema, completeness, and quality of every trace, and the accuracy of its cost, token usage, and LLM configuration data. - Build observability integrations with other platforms, including OpenTelemetry export and import, Microsoft Agent 365, and other agent and observability ecosystems. UiPath traces should flow out, and outside agent traces should flow in. - Bring UiPath services and teams onto our trace infrastructure, so traces cover the whole platform and not only agents. Run intake, prioritization, and coordination for trace requests across the company. - Own agent identity, so that every agent and every run maps to an owner, the user it acts for, and the permissions it used. - Serve as the Agents team's counterpart to platform governance, making sure traces and identity feed policy, audit, alerting, and controls like a kill switch. - Partner with our largest and most demanding customers, including those in regulated industries, on production deployments. Go deep enough to know which span was missing and why it mattered. - Use the platform as a builder. Stand up agents, read their traces, wire exports into real observability tools, and use coding agents to prototype. If a point needs a working example, build one. - Translate the fast-moving landscape of OpenTelemetry GenAI conventions, agent observability vendors, agent identity standards, and AI governance regulation into a coherent UiPath point of view and a shipping product. - Define the metrics that matter, such as trace coverage and completeness, cost accuracy, time to diagnose a failed run, and the share of agents with a clear owner and identity. Then prioritize ruthlessly against them. - Represent UiPath's agent observability and governance story to customers, partners, and industry forums. WHAT YOU'LL BRING TO THE TEAM - 6+ years in technical product management or engineering, with an emphasis on observability, developer platforms, identity, security, or applied agentic AI. You have a proven record of shipping infrastructure that builders and platform teams rely on. - Hands-on experience building observability, telemetry, tracing, or governance products. You've designed systems that capture, correlate, and act on signals across many services. - Deep fluency in agentic AI: models, tool calling, MCP / A2A, coding agents, agent design patterns, evals, and observability. You can read an agent trace, see right away what went wrong, and how the trace could be improved. - Working knowledge of identity and access concepts such as service identities, delegated permissions, OAuth, and audit, and a view on how they should apply to agents. - A builder's posture and a bias for action. You write code, or prompt agents to write it, so you can test ideas and ship prototypes. You treat coding agents as leverage rather than writing specs and waiting. - A first-principles mindset and comfort with ambiguity. You can reach a defensible direction in days, not quarters. - Sharp communication: a position doc that inspires bold decisions, a technical explanation a skeptical architect trusts, a demo that closes the room. - Comfort working in regulated, on-prem, and hybrid environments. IDEAL BACKGROUND - Built observability, telemetry, identity, security, or agent platform products at a frontier lab, hyperscaler, observability vendor, or automation vendor, or as an early PM at a startup in the space. - Has taken a product from 0 to 1 and felt the weight of it. Startup or founding PM experience is strongly preferred. - Has a point of view, with receipts, on how enterprises will observe and govern agents over the next 24 months. #LI-MH1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

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 . The Infrastructure Engineering team enables Reddit to deliver Reliability, Performance, and Efficiency, with a single opinionated technology stack. We empower Reddit developers by delivering a reliable, scalable, and automated foundation - unifying compute, seamless deployments, robust storage, and high-performance messaging to maximize developer velocity and system resilience. This centralized role hires across several high-impact teams, including: Messaging: Delivers a reliable, performant, and efficient platform to support asynchronous communication across all products and services at Reddit. Site Defense: Builds platforms that detect and mitigate bots, scraping, and abusive traffic while preserving a reliable experience for legitimate users across Reddit. Infrastructure Security: Builds platforms for service identity, secrets management, and secure access that make Reddit’s infrastructure secure by default. What You’ll Do Cross-Functional Product Architecture: Partner closely with Product Management, Product Design, Data Science, and Client Engineers (iOS/Android/Web) to translate business and user needs into reliable, low-latency technical solutions. End-to-End Delivery: Own the full software lifecycle for major product initiatives from technical design docs and API contracts to development, testing, rollout, and observability. Metrics & Experimentation-Led Engineering: Design, build, and evaluate A/B experiments. Work with tools like BigQuery, HEX, or Firebase to analyze user behavior, conversion funnels, and retention loops to make data-backed engineering decisions. API & System Performance: Build and maintain scalable APIs (GraphQL, REST, gRPC) and distributed backend services optimized for client consumption and consumer UI performance. Technical Rigor & Modern Tooling: Establish engineering best practices, improve developer workflows, mentor teammates, and use modern, AI-integrated tools to ship high-quality products efficiently. In your day-to-day, you will: Steer: Work with the team to select, scope, and drive high leverage projects that align with Reddit’s goals. Build: Execute on a strategy and create a more performant, more scalable, higher quality architecture around authentication, authorization and identity. Amplify: Mentor, coach, and collaborate with other technical contributors Collaborate: Work together with a variety of cross functional teams across Reddit Engineering. Evolve: Learn and improve your own technical and non-technical abilities Who you might be: 3+ years of experience building internet-scale software, preferably with a focus on distributed systems infrastructure or infrastructure security. Software development experience in one or more general purpose programming languages; Golang, Python, C++, Java Experience with essential cloud infrastructure (Kubernetes, CI/CD, AWS, GCP) Hands-on experience implementing features, optimizations, and bug fixes to distributed messaging systems. Excellent communication skills to collaborate with stakeholders in engineering, data science, machine learning, and product. Degree in Computer Science or equivalent technical field. Benefits: 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 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: $164,000 — $229,000 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: London, England, United Kingdom About the Job: We are looking for an experienced Executive Assistant to support the VP EMEA Sales at LaunchDarkly. You will bring structure, judgement and pace to a demanding leadership agenda, helping the VP focus on customers, the sales organisation and the priorities that move the EMEA business forward. Executive support is the core of this role, representing approximately 80% of the remit. The remaining 20% focuses on the smooth running of the London office. You will anticipate needs, make sound decisions within agreed boundaries and keep commitments moving across countries, time zones and changing priorities. Responsibilities: Executive support (~80%) Calendar and priorities Own a complex, fast-changing diary across EMEA and global time zones, prioritising customer and partner meetings, leadership commitments, interviews and focus time, and resolving conflicts early. Prepare the VP for the day and week ahead with schedules, context, briefing materials and advance notice of decisions and deadlines. Escalate competing priorities with practical options. Sales leadership cadence Organise weekly leadership meetings, forecast calls, pipeline reviews, QBRs and planning sessions, coordinating agendas, pre-reads and contributions. Capture decisions and actions, track owners and deadlines, and follow up. Keep the leadership calendar aligned with sales milestones, quarter-end activity and company commitments. Communications and sensitive matters Draft and refine correspondence, meeting materials, presentations and team updates for the VP’s review, communicating professionally with senior colleagues, customers, partners and candidates. Handle confidential commercial and people information (leadership discussions, organisational changes, recruitment) with discretion, keeping careful records and sharing only with appropriate people. Recruitment, travel and events Partner with recruiters and hiring managers to schedule interviews across time zones, coordinate candidate communications and keep feedback and decisions moving. Arrange complex international travel (itineraries, transport, accommodation, meeting logistics), manage changes, and coordinate expenses and documentation. Deliver logistics for sales leadership offsites, regional team meetings and executive customer visits, including venues, suppliers, communications, materials and agreed budgets. London office management (~20%) Coordinate daily operations (supplies, meeting spaces, deliveries, visitors), keeping the office organised and welcoming. Liaise with building management, facilities and service providers to resolve issues; coordinate purchases, supplier invoices and spend tracking within agreed approvals. Support new starters and team gatherings with People, IT and other teams, flagging workplace concerns to the right owners and following through. Balance office needs against the VP’s priorities, raising conflicts early so executive support stays primary. Qualifications: 5+ years of EA experience, including at least 3 supporting a VP or C-suite executive in a fast-paced business. Experience managing complex diaries, international travel and competing priorities across countries and time zones. Strong written and verbal communication, with the ability to draft clear executive correspondence and work confidently with senior stakeholders. Excellent judgement, discretion and reliability with confidential people and commercial matters. A proactive, highly organised, detail-oriented approach: you anticipate needs and follow through without repeated prompting. Confidence coordinating recruitment, leadership meetings and events, staying calm and adaptable when plans change. Proficiency with calendar, email, presentation, document and collaboration tools, and quick to learn new systems. Preferred experience: SaaS or technology experience, ideally supporting a regional sales leader or other senior commercial executive. Familiarity with sales leadership rhythms: forecasting, pipeline reviews, QBRs and quarter-end demands. Experience coordinating office operations, suppliers or workplace logistics alongside a substantial executive support remit. 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. 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: Distributed About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Montreal, QC Professional working proficiency in French & English (written and spoken) is required. (Compétence professionnelle complète en français, à l'oral et à l'écrit, requise.) What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices.  Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications Professional working proficiency in French & English (written and spoken) is required. (Compétence professionnelle complète en français, à l'oral et à l'écrit, requise.) Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services,  Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role will require travel up to 20–50% to attend customer meetings, conferences, industry events, and other in-person team meetings, within the assigned territory. For this reason, candidates must have reliable personal or local public transportation to complete all required travel. Required travel is reimbursable in accordance with the Company's Travel & Expense Policy, as it may be amended from time to time. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.