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Location: San Francisco; New York City Workplace: Hybrid Perplexity is AI for people who expect more. On the data team, that means building the systems that make our data reliable, understandable, and usable by both humans and AI. We're looking for an analytics engineer or data engineer who wants to build the foundation for an AI-native data organization. You'll design core data models, pipelines, semantic layers, data quality systems, governance practices, and warehouse workflows that power the entire company: helping teams make strategic decisions, operate the business, and move faster with trusted data. You'll also make sure those systems are secure, privacy-aware, and legible to AI agents, data scientists, and the rest of the company. This role is for someone who can operate at the boundary of analytics engineering, data engineering, data governance, and internal product. You care about dimensional modeling, dbt standards, cost-aware warehouse design, access controls, privacy, and the details that make data trustworthy. You also believe AI should make the data stack faster, easier to maintain, and more accessible across the company without weakening security or governance. WHAT YOU'LL DO - Build the core data foundation - design and maintain high-quality data models, marts, and pipelines that make analysis fast, reliable, and reusable. - Manage the data warehouse - help own warehouse architecture, environments, permissions, performance, cost, data lifecycle, and operational hygiene so the platform scales cleanly. - Make the warehouse AI-readable - own the documentation, semantic context, metadata, lineage, and retrieval patterns that AI systems depend on to understand and query Perplexity's data correctly. - Own data modeling standards - define and champion dbt patterns, dimensional modeling practices, naming conventions, tests, and review processes. - Lead data governance practices - define standards for access, ownership, lineage, documentation, retention, quality, and sensitive data handling across the analytical warehouse. - Build with security and privacy in mind - partner with engineering, security, legal, and finance where needed to ensure data access, sharing, and AI-enabled workflows are appropriate and controlled. - Automate data quality and maintenance - build AI-assisted workflows that detect issues, explain root causes, suggest fixes, generate tests, and reduce manual firefighting. - Improve data team productivity - automate repetitive workflows, improve tooling, streamline development, and make it easier for data scientists and stakeholders to answer questions. - Partner across the company - work closely with data scientists, engineering, product, finance, and GTM teams to translate analytical needs into durable data systems. - Shape tooling decisions - evaluate build-versus-buy tradeoffs, manage vendor relationships when needed, and choose tools that scale with the team. WHAT WE'RE LOOKING FOR - 6+ years of experience as an analytics engineer, data engineer, data scientist, or closely related role. - Deep SQL expertise - you can reason about correctness, performance, joins, grain, and edge cases in complex warehouse queries. - Strong data modeling experience - you've worked hands-on with dbt (or a similar transformation framework) in production, and you understand dimensional modeling, data contracts, testing, and how analytical schemas should evolve. - Pipeline ownership - you've built, maintained, debugged, and improved production data pipelines. - Warehouse management experience - you've worked with warehouse administration, access patterns, permissions, performance tuning, cost management, or operational ownership. - Governance mindset - you think clearly about data ownership, access controls, privacy, retention, lineage, auditability, and the risks of making data too easy to access. - AI-native working style - you already use AI to speed up development, documentation, QA, exploration, and repetitive workflow automation. - Stakeholder fluency - you know how to turn messy analytical requirements into trusted models, metrics, and reusable data assets. - Autonomy and execution - you can take projects from ambiguous problem to production-quality system with minimal oversight. - Operational judgment - you care about reliability, governance, security, cost, and long-term maintainability. BONUS - Snowflake administration, optimization, cost management, or warehouse performance tuning. - Experience with RBAC, PII handling, data classification, retention policies, audit workflows, or privacy/security reviews. - Experience with Databricks or other modern data infrastructure. - Experience building semantic layers, metrics layers, metadata systems, or data catalogs. - Python experience for data tooling, automation, orchestration, or quality checks. - Previous experience as an early analytics engineer or data engineer at a high-growth startup. WHY THIS ROLE - Own the foundation - your work will determine how fast and confidently the company can use data. - Build for humans and AI - the next generation of data infrastructure needs to be understandable by agents as well as analysts. - High leverage - better models, pipelines, and tools multiply every data scientist and every stakeholder who depends on data. - Small team, broad scope - you'll have room to define standards, choose tools, and ship systems that become company-wide defaults.

Location: United States As a Senior Thermal Engineer, you will own the thermal engineering methodology across our missile systems. You will define thermal architectures, develop high-fidelity thermal models, and use first-principles analysis, simulation, and hardware testing to ensure our vehicles perform reliably in some of the most demanding thermal environments imaginable. You'll work across aerodynamics, structures, electrical, propulsion, systems, manufacturing, and test engineering to develop integrated thermal solutions from concept through flight. Your work will span transient mission analysis, electronic unit thermal management, specialized ground testing, and flight-test instrumentation and data analysis. This role is ideal for an engineer who enjoys moving fluidly between analytical models, real hardware, and flight data—and who wants to directly influence vehicle architecture and design decisions from day one. Responsibilities: Thermal design and analysis of unmanned air vehicles at conceptual, preliminary, and detailed design maturities Define thermal system architectures and material selection strategies for vehicles operating in demanding flight environments Thermal analysis of flight vehicles using standard thermal analysis codes and engineering/hand methods Transient thermal analysis for time-varying mission profiles Ground test planning, execution, and analysis in specialized thermal test facilities Flight test planning, execution, and post-flight thermal data analysis Use first principles and MATLAB/Python models to inform design decisions Collaborate with aerodynamics, structures, electrical, and systems engineers on integrated solutions Present thermal status at formal reviews internally and with customers Prepare formal documentation (specifications, test procedures, technical reports) Basic Qualifications: BS or higher degree in Aerospace Engineering, Mechanical Engineering, or Applied Physics In-depth understanding of heat transfer, fluid dynamics, and high-temperature environments 5+ years of experience in aerospace thermal engineering on rocket, spacecraft, aircraft, or missile programs Experience with electronic unit thermal analysis and control to component junctions Ground testing experience with thermal instrumentation and data acquisition Strong programming skills in MATLAB, Python, or similar for tool development Experience preparing formal documentation CAD experience with SolidWorks or Siemens NX Ability to obtain and hold a U.S. security clearance Preferred Skills and Experience: MS or higher degree in Aerospace Engineering, Mechanical Engineering, or Applied Physics with focus on heat transfer and fluid dynamics Experience with material ablation response modeling in extreme thermal environments Knowledge of material degradation and surface phenomena under demanding conditions Experience with specialized thermal ground test facilities Flight test experience including instrumentation design and post-flight analysis Experience with Thermal Desktop/SINDA Experience with manufacturing and assembly of thermal systems Active U.S. security clearance

Location: United States As an Embedded Software Engineer you will be at the forefront of creating, developing, and testing the software that drives and simulates our flight systems. Your role involves close collaboration with fellow client engineers across software and hardware domains to implement and debug software across the entire technology stack from applications and operating systems to networking, firmware, and simulation, ensuring complete mission success. We seek intelligent, collaborative, and driven engineers of all levels who are passionate about problem-solving and eager to contribute to an extraordinary mission. If you thrive in challenging environments and are excited by the prospect of making a tangible impact, we want to hear from you. Responsibilities: Autonomous Systems: Design and implement reliable autonomous software systems, along with the simulations required to validate their precision and dependability. Comprehensive Software Development: Manage the entire software development process, from initial design, prototyping and testing, to final integration and deployment for mission-critical applications. System Testing: Evaluate test outcomes and troubleshoot issues necessitating detailed investigations, including hands-on integration and debugging of hardware/software systems. Develop tools to facilitate testing across various environments: virtualized hardware, real hardware-in-the-loop, and vehicle-in-the-loop testing. Collaboration: Partner with multidisciplinary engineering teams to brainstorm, design, and develop next-generation hypersonic missile capabilities, including advanced guidance algorithms and integrated seeker image processing. Project Leadership: Lead major projects that propel Client's mission forward, ensuring alignment with overall objectives and occasionally traveling to launch and customer sites for testing and operations. Enhance Standards and Practices: Continuously improve software standards and best practices within the software team, fostering an environment of ongoing improvement and innovation. Basic Qualifications: Educational Background: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related STEM field, or equivalent practical experience. Experience: Open to candidates across all experience levels, from early-career engineers to senior technical contributors. Professional experience, internships, research, open-source contributions, or other hands-on technical work will be considered. Technical Proficiency: Experience with systems programming in languages such as C++, Python, or Rust, and familiarity with Linux-based development environments. Experience may include work with low-level systems such as Linux kernel development, hardware interfaces, or driver development (e.g., UART, I2C, or similar peripherals). Preferred Skills and Experience: Programming Expertise: Proven proficiency in C++, Rust, or similar systems programming languages. System Experience: Practical experience with real-time embedded systems or distributed computing environments in Linux-based systems, including developing high-quality Linux-based C++ software for common processors an microcontrollers (e.g., PowerPC, x86, ARM). Technical Skills: Proficiency in Linux, including Bash shell scripting, network troubleshooting, and performance analysis (strace, ftrace, etc.), with strong skills in debugging, performance optimization, and unit testing. System Knowledge: Comprehensive understanding of computer architecture and networking protocols (TCP, UDP, etc.). Problem-Solving: Innovative problem-solving approach using first-principles thinking, including developing prototypes to validate key design concepts and quantify technical constraints

You'll lead cross-functional delivery teams of 4-5 engineers, reporting to our Head of Engineering. Your job is to make sure your team ships reliably, grows professionally, and doesn't become a bottleneck as LawnStarter scales into new service verticals.

Location: United States We are hiring Avionics Hardware Engineers to own flight critical electronics across design, bring up, test, and integration. This role is intended for engineers with experience in complex electronic systems who can take responsibility for avionics subsystems and operate effectively in a high tempo development environment. Engineers in this role may own areas such as motor controllers, avionics backplanes, power distribution, or outward facing avionics test and integration. Responsibilities: Own avionics hardware from architecture and schematic design through PCB layout, bring-up, and production support Drive design decisions including component selection, interfaces, and system tradeoffs Lead hardware bring-up, debugging, and root-cause analysis across lab, integration, and flight test Collaborate cross-functionally to ensure avionics hardware meets performance, reliability, and mission requirements Define and execute hardware validation strategies appropriate to development and flight maturity Produce clear technical documentation covering designs, test results, and engineering changes Partner with manufacturing and suppliers to transition hardware from prototype to production Continuously improve designs based on test results, field data, and evolving requirements Basic Qualifications: Bachelor's degree in electrical engineering or related field Proven end-to-end ownership of avionics or high reliability electronic hardware Strong experience with PCB design, bring up, and lab debugging Ability to operate autonomously and drive hardware issues to closure Preferred Qualifications: Avionics, aerospace, missile, space, automotive, or defense hardware experience Experience with motor controllers, backplanes, power electronics, or flight hardware Familiarity with MILSTD or aerospace hardware standards (e.g., DO254 exposure) Embedded systems or FPGA adjacent hardware experience Experience supporting hardware in integration, test, or flight environment

Location: United States We are hiring experienced Avionics Hardware Engineers to specialize in high-speed digital design, flight computer architecture, and advanced avionics hardware development across our avionics organization. This role is ideal for engineers with deep EE fundamentals and hands-on ownership experience designing complex embedded hardware for mission-critical systems. Engineers in this role focus on flight computer architecture, high-speed digital board design, system bring-up, and hardware validation across real flight hardware. The ideal candidate has experience owning complex board designs from architecture through integration and thrives in fast-paced hardware development environments. Responsibilities: Design and develop advanced board-level electrical hardware including schematic capture, PCB layout oversight, component selection, and interface definition Own high-speed digital and embedded flight computer architectures including processors, memory systems, and board-level integration Perform board bring-up, validation, debugging, and root-cause analysis in the lab Test reference boards and early prototypes using standard lab equipment Drive signal integrity, power integrity, and hardware reliability considerations throughout the design lifecycle Work with avionics, embedded software, test, and manufacturing teams to iterate designs quickly Support hardware/software integration and troubleshooting across avionics platforms Document designs, test results, and engineering changes clearly Basic Qualifications: Bachelor's degree in electrical engineering or related field Strong experience with complex digital or mixed-signal hardware design Experience with high-speed digital systems, embedded processors, memory interfaces, and board-level architecture Experience with PCB design tools (Altium preferred) Hands-on experience with oscilloscopes, logic analyzers, and power supplies Strong understanding of core EE principles including digital systems, signal integrity, power distribution, and hardware debugging Comfortable working in a fast-paced, highly collaborative environment Preferred Qualifications: Experience owning flight computer, avionics, or embedded compute hardware architectures Experience taking complex PCBAs from concept through bring-up, validation, and integration Exposure to embedded systems, firmware, or FPGA interaction Familiarity with aerospace, automotive, robotics, defense, or other high-reliability hardware environments Familiarity with interfaces such as Ethernet, SPI, I2C, UART, CAN, PCIe, or DDR memory systems Basic scripting or programming experience (Python, C/C++

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the team SmithDB is LangChain's internal database team. We're building a storage and query layer purpose-built for AI observability and evaluation. Within six months we went from idea to a production system that offers industry leading performance and scalability for agent observability data. We're a small, fast team of systems engineers tackling genuinely hard problems: storage layout, query execution, compaction, and scaling toward trillions of agent traces. We develop in Rust, run on Kubernetes, and integrate tightly with S3/GCS/Azure Blob. There are no legacy constraints; this is a greenfield system with real production load and ambitious engineering goals.   About the role We're looking for a hands-on Engineering Manager to lead the SmithDB team. This is not a pure people-management role. You'll write production code, review PRs at the systems level, make architectural calls, and be in the weeds alongside your engineers. At the same time, you'll own team health, hiring, technical roadmap, and coordination with the broader LangSmith platform. The ideal candidate has deep systems or database engineering experience and genuinely prefers to stay technical while growing a team.   What you'll do - Write and review production Rust code across ingestion, query execution, and storage layers - Lead architectural decisions on storage format, compaction, indexing, and query planning - Drive performance investigations using memory and CPU profiling tools; own the path from profiling to shipped fix - Design and harden the distributed deployment of SmithDB services on Kubernetes (multi-tenant, high-throughput, low-latency) - Contribute to cloud object store integrations (S3, GCS, Azure Blob) and set the standard for how SmithDB manages data at rest and in flight - Build and maintain observability for the engine itself: metrics, tracing, debug tooling - Manage a small but growing team of systems engineers: set goals, run 1:1s, provide technical mentorship, and grow careers - Own the SmithDB technical roadmap in partnership with LangSmith product and engineering leadership - Communicate progress, risks, and tradeoffs clearly to the broader organization: you write concise, decision-ready updates   What you'll bring - 7+ years in systems or database engineering, with at least 2 years in a technical lead or engineering management role - Production Rust experience — you can write it, review it, and have opinions on how to structure it at scale - Deep understanding of database or storage engine internals: query execution, storage layouts, indexing, compaction - Proficiency in systems performance analysis: memory allocators, CPU hotspots, lock contention, async runtimes (Tokio) - Experience deploying and operating distributed services on Kubernetes in a production, multi-tenant environment - Familiarity with cloud object storage (S3-compatible APIs, consistency models, cost/performance tradeoffs) - Proven track record of managing engineers — you can recruit, retain, and level-up a team without losing your technical edge Nice-to-have: - Experience building or contributing to columnar storage formats (Parquet, Arrow), OLAP query engines, or time-series stores - Background in observability infrastructure or tracing pipelines (OpenTelemetry, ClickHouse, Prometheus) - Experience scaling a system from early-stage to hundreds of billions / trillions of records   Compensation Salary Range: $240,000-$300,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Montreal, Canada ROLE OVERVIEW Our client is seeking a CONOPS and Mission Analysis System Engineer to own the definition, development and documentation of CONOPS, mission scenarios, operational concepts and quantitative mission analyses for current and next‑generation earth observation and communications satellite missions. The engineer will work closely with customers, prime contractors and internal multidisciplinary teams to translate stakeholder needs into clear, traceable operational concepts that guide system architecture, requirements allocation, risk assessment and program planning . Requirements & Systems Engineering Capture stakeholder functional, performance, environmental, and security requirements. Conduct workshops and trade studies to define mission needs. Translate mission objectives into system-level requirements with full traceability. Define and manage spacecraft, payload, and ground-segment interfaces (ICDs, data flows). CONOPS & Mission Analysis Develop and maintain the Concept of Operations (CONOPS) covering all mission phases. Produce supporting artifacts (timelines, scenarios, flow diagrams). Perform mission modeling and analysis (orbit, coverage, link budget, resources). Evaluate architectural trade-offs (orbit, constellation, payload) across cost, risk, and performance. Integration, Verification & Program Support Develop verification plans, test matrices, and validation procedures. Support system integration, IVV activities, and operational readiness. Present technical results at key reviews (SRR, PDR, CDR, ORR). Maintain configuration control within PLM tools. Support B&P activities and technology roadmapping. Operations & On-Orbit Support Support mission operations during critical phases. Monitor telemetry, analyze performance, and update models/CONOPS as missions evolve. Assist with contingency handling, SOOH development, and operator training. Leadership & Collaboration Lead trade studies and coordinate cross-functional teams. Communicate risks and technical status to management and customers. Mentor junior engineers and contribute to process improvement initiatives. Qualifications B.Sc. in Aerospace, Electrical Engineering, or Physics with 8+ years in LEO/MEO mission planning & operations. Strong foundation in systems engineering, orbit mechanics, and space environment. Hands-on integration and troubleshooting experience. Experience with Confluence and JIRA. Strong analytical, communication, and independent working skills. English required; French is an asset.

Location: Montreal, Canada ON-SITE IN MONTREAL IS PREFERRED; REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. Open for candidates in Canada as well as the US Tasks Contribute to the system architecture design of advanced digital telecom payloads. Support system-level performance and functional analysis , including link budgets and signal routing paths. Participate in Failure Detection, Isolation, and Recovery (FDIR) strategy development and analysis. Assist in RF signal analysis and system-level integration activities. Contribute to the creation and maintenance of payload performance budgets . Support requirements derivation, traceability, and management across subsystems. Collaborate with cross-functional teams to define interfaces and ensure end-to-end system performance. Participate in design reviews, technical documentation, test planning, and troubleshooting throughout the development lifecycle. Must haves Bachelor’s or Master’s degree in Electrical Engineering, Telecommunications, or a related field. 2–5 years of experience in space systems, satellite communications, or a related discipline. Foundational knowledge of digital signal processing , RF systems , and telecommunications architectures . Relevant Experience with testing of satellite subsystems. Strong attention to detail, analytical mindset, and team-oriented approach. Effective communication and technical documentation skills. Must be eligible to work in Canada and capable of obtaining necessary security clearance. Complementary skills/knowledge Previous experience in Space and/or Constellation Operations Knowledge of requirements Management tools such as DOORS/Windchill/Jama Demonstrated capability to efficiently work autonomously and with little to no supervision Strong written and verbal communications skills in English, knowledge of French will be considered favorably

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an engineer on this team, you'll sit at the intersection of IT and facilities. You'll build the power models, availability models, topology and load management requirements that operate more efficiently against our physical envelope. Your work will directly shape which sites we lease, what SLAs we sign, how far we oversubscribe, and where workloads are placed. What You'll Do Topology and load management. Own the power and cooling topology of our fleet as a living dataset, validate it and its telemetry against how the buildings really behave, and define how load management behaves under failure across chips and capacity providers, from requirements through commissioning and incident support. Reliability modeling. Build and audit availability models of data center electrical and mechanical systems, define Cloud availability zones and failure domains, from a single site to the whole fleet. Power modeling and load forecasting. Build models of power draw from chip to rack to facility, by workload and hardware generation, and use them to set capacity planning targets, design envelope, and load forecasting. Partner diligence. Work with data center developers, operators, cloud providers and chip vendors to drive design improvements and hold them to SLA-grade performance, with technical diligence on their architectures, reliability studies, rack power specifications and operator interfaces. What We're Looking For Deep knowledge of data center power distribution and cooling architectures, redundancy schemes, and how they interact with IT load profiles. Depth in at least one of: reliability engineering, power modeling and energy scheduling, or load management and controls (telemetry, IT/OT interfaces, load transfer and shedding systems). Familiarity with SCADA/BMS/EPMS, telemetry pipelines, and control systems. Experience with software that bridges IT and OT. Exposure to accelerator deployments and their power management interfaces, or to capacity overallocation in large compute fleets, strongly preferred. Ability to translate between infrastructure engineering, software teams, legal and commercial teams, and external partners. Required Qualifications Bachelor's degree in Electrical Engineering, Mechanical Engineering, Power Systems, Reliability Engineering, Controls Engineering, or a related field 5+ years of experience in data center infrastructure, facility engineering, or reliability engineering Demonstrated experience with data center power distribution and cooling system architectures, and infrastructure failure mode management Demonstrated experience in at least one of the following: Building quantitative reliability or availability models (Monte Carlo, fault tree, reliability block diagram, or FMEA) Building power, energy or capacity models and forecasts from measured data Building, testing or operating software-based power management, load shedding, or control systems Track record of cross-functional collaboration across hardware, software, and facilities teams Preferred Qualifications Experience in more than one of the three focus areas above Experience with accelerator-class deployments, rack power architectures, and their power management interfaces Experience with integrated systems testing and commissioning (L4/L5), or writing sequences of operation Experience with SLA development, availability commitments, or service credit frameworks in leases or cloud contracts Experience with energy storage, microgrid integration, demand response, or behind-the-meter generation Exposure to ML or optimization techniques applied to infrastructure or energy systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Atlanta, Georgia; Toronto, Ontario; Athens, Georgia Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. THE ADVENTURE AHEAD 🚀 As our Vice President, Information Security, you will step up as the de facto security leader owning Docebo’s global security strategy across product, cloud, GRC, and AI. This is not an advisory tower role; you will operate at executive altitude while staying close to real architecture, engineering decisions, threat modeling, and control execution. You will drive hard, measurable risk reduction while pioneering AI-first security practices that empower our business to move fast with complete confidence. THE DAY-TO-DAY 🗓️ - Architect Global Strategy: Own and evolve Docebo’s enterprise security roadmap across product security, cloud hardening, GRC, privacy, and incident response to achieve measurable control maturity. - Embed Security by Design: Partner deeply with Product and Engineering to integrate threat modeling, secure SDLC, CI/CD security, identity controls, and vulnerability remediation into core engineering workflows. - Pioneer AI-First Security: Build robust governance and controls for AI products and internal tooling while harnessing AI to automate detection, vulnerability management, and threat response. - Champion Customer Trust: Lead compliance programs (SOC 2, ISO 27001) backed by real controls, and represent Docebo with executive credibility in board updates, audits, and enterprise customer due diligence. - Elevate Defense Operations: Strengthen security telemetry, threat intelligence, and detection across cloud and corporate environments to protect against emerging modern attack patterns. - Empower High-Impact Teams: Lead and coach a talented security team, building a high-accountability culture focused on clear outcomes, rapid execution, and continuous learning. YOUR SUPERPOWERS ⚡ - Proven Executive Leadership: Significant experience leading information security programs in a software, SaaS, or tech product environment with a track record of executive and board collaboration. - Deep Technical Foundations: Hands-on mastery of application security, cloud security (AWS), infrastructure, identity systems, secure SDLC, and modern vulnerability management. - Mandatory Certification: Active CISSP credential backed by a deep understanding of SOC 2, ISO 27001, privacy regulations, and enterprise SaaS security standards. - Collaborative Business Driver: Exceptional ability to forge trusted partnerships across Product, Engineering, Legal, and Sales, acting as an enabler who balances security with business velocity. - Outcome-Focused Execution: A clear track record of using metrics and business risk language to make decisive, risk-informed choices in complex, ambiguous environments. BONUS POINTS 🎯 - AI Security Expertise: Hands-on experience securing AI-enabled products and LLMs, or utilizing AI tools to scale security operations and automated testing. - Advanced Technical Certifications: Additional credentials such as CISM, CISA, CCSP, AWS Security Specialty, or GIAC, combined with offensive security or red teaming experience. - Enterprise & Public Sector Reach: Proven experience navigating FedRAMP standards, public-sector requirements, and high-growth global SaaS expansion. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role You'll lead GitLab's Dedicated Infrastructure team, combining hands-on technical leadership with team development. Working with the team's Product Manager, you'll balance delivery speed and quality, guide architecture decisions, and lead the team through incidents. You'll demonstrate ideas through proofs of concept, give team members meaningful feedback, and use data to make prioritization and risk decisions. What you’ll do Partner with the team's Product Manager to set clear priorities and deliver with quality and speed. Maintain at least 99.9% availability for Dedicated infrastructure, strengthen security, and automate operations to support more tenants at scale. Give your team clear direction and meaningful feedback, and build shared ownership of development and operations. Improve the platforms and tools your team owns so feature implementers can manage their services in production through self-service workflows. Recruit, onboard, and develop productive team members, supporting their growth and accountability. Lead by example with proofs of concept and artificial intelligence (AI)-assisted approaches. Simplify processes and automate repetitive manual work. Model effective incident management, lead timely resolution and escalation, and document and teach best practices across GitLab. Use data to prioritize work, quantify impact, and manage risk and technical debt. Explain technical trade-offs to stakeholders to support their decisions. What you’ll bring A track record of building and owning large-scale distributed services, with the technical depth to evaluate architecture and guide technical strategy. Experience with fleet management, Terraform, Amazon Web Services (AWS), and automated provisioning at a scale of 20 or more clusters. Experience owning services with 99.99% availability service-level objectives (SLOs), and an understanding of the operational practices needed to sustain them. Experience using AI tools to improve team productivity, with lessons learned from both successes and missteps. Experience building and managing accountable, high-performing teams, including addressing underperformance and making difficult performance decisions when needed. The ability to lead complex projects to completion without relying on a dedicated Technical Program Manager. Experience leading distributed, remote teams effectively. About the team We build and operate the large-scale distributed infrastructure for GitLab Dedicated, our hosted software as a service (SaaS) platform. Our work centers on availability, security, fleet management, and automated provisioning across tenants. We also build self-service platforms and tools that enable feature implementers to own their services in production. At GitLab, our mission is simple: to enable everyone to contribute to and co-create the software that powers our world. We collaborate asynchronously, with autonomy, accountability, and transparency guiding how we work. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $152,800 — $259,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: CAN: Vancouver (333 Seymour St) Workplace: Hybrid The role / impact You will deliver high-quality, impactful software that aligns with team and business goals, always keeping customer needs and outcomes front of mind. By identifying and solving complex, ambiguous problems independently, you will produce robust, high-quality, and scalable software that helps change the world by supporting small businesses. Your daily work will focus on systems, scalability, and engineering quality while collaborating across teams to drive technical excellence and developer efficiency. Through clear and thoughtful communication, you will ensure stakeholders are well-informed and aligned. You will play a key part in fostering an inclusive team culture by mentoring others and sharing feedback with empathy. Your active participation in planning, delivery, and continuous improvement will contribute directly to the success of the broader Xero community. The team / how they connect You will join the Accounting Core team within Product Platforms, which forms the critical foundation underneath core product areas like invoices, bills, payments, and payroll. The team exists to make it easy for other groups across Xero to build on a strong foundation of accounting concepts, data, and libraries safely and efficiently. Operating across Wellington and Vancouver, we collaborate closely to reduce tight coupling, establish clear service boundaries, and accelerate product velocity global-wide. The team is currently working on / Initially, you will focus on - Transitioning from a monolithic architecture to modern microservices to remove delivery bottlenecks and improve efficiency. - Building and operating services in a production cloud environment utilizing C#, .NET Core, and AWS. - Resolving complex legacy problems, database scalability challenges, and modernizing service interfaces or APIs. - Automating manual processes and applying test-driven and trunk-based development practices. Where and how you can work This role is based at our on-site location in Vancouver. We operate on a hybrid model where you will spend one to two days a week in the office for collaborative technical discussions and team alignment, with the flexibility to work from home on the other days. You will also have the opportunity to travel to New Zealand for onboarding after your first couple of weeks. Here are some of the things we are looking for - You bring proficient backend development experience with one or more programming languages such as C#, .NET, Java, or Go. - A solid understanding of distributed systems concepts, including service-to-service communication, eventual consistency, and resilience patterns belongs in your toolkit. - Your background features practical experience working with relational databases where transactional data integrity and ACID principles are critical. - Having a familiar working knowledge of modern DevOps practices, automated testing, and continuous integration pipelines will help you succeed. - Showing an interest in utilizing modern artificial intelligence tools will enable you to enhance personal productivity and streamline engineering workflows. - You possess strong communication and collaboration skills, with the capacity to manage internal stakeholders like a technical product partner. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. Compensation & Total Rewards At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits. The expected base salary range for this role is 131,800 - 150,000 CAD. Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets. This is a posting for an existing vacancy. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: Remote, Any, United States, AMER; Remote, Illinois, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Team Cloud Onboarding Architects work alongside Customer Onboarding Managers, Technical Instructors, Resident Solutions Architects within Professional Services. This team ensures that every new managed enterprise customer has a fully configured dbt platform account and is confident using it. Guided Setup is often a customer’s first hands-on experience with dbt. The team sits at the intersection of technical implementation, customer experience, and product feedback; helping customers navigate the complexity of their data, identity, security, and development environments while ensuring they are set up for long-term success. About the Role The Cloud Onboarding Architect Lead is the technical leader for Guided Setup across our dbt enterprise customer base. You’ll own the most complex and highest-visibility setup engagements while also helping define how the entire team delivers setup at scale. This role combines hands-on technical delivery with technical leadership. You’ll be the person other Cloud Onboarding Architects turn to when a customer has an unusual architecture, an implementation has stalled, or the existing playbook doesn’t quite fit. You’ll also work across Professional Services, Engineering, Product, and Design to turn those individual challenges into better processes, documentation, and product experiences for everyone. This is a role for someone who enjoys being both deep in the technical details and responsible for the bigger picture. Technologies You’ll Use Modern Data Warehouses (Snowflake / Databricks / BigQuery / Redshift), Repositories (GitHub / GitLab / Azure DevOps), Identity Providers (Okta / Entra ID / Google), PrivateLink / Private Service Connect, AWS, Azure, GCP, SQL, SSO, OAuth, Rocketlane What You’ll Do Own complex and escalated setup engagements Lead Guided Setup for our most technically complex, strategically important, and highest-visibility enterprise accounts across all four milestones: data warehouse/repository configuration, SSO, RBAC/SCIM, and user access Serve as the senior technical escalation point when setup issues threaten onboarding timelines or customer activation, including complex PrivateLink, OAuth, SSO, networking, and identity scenarios Work directly with customer technical stakeholders and administrators to understand their environment, identify risks, and guide them toward a successful configuration Anticipate technical blockers early and create clear plans to resolve them before they impact the broader onboarding program Make sound scoping decisions about what belongs in Guided Setup versus Customer Solutions Engineering, Product, or post-onboarding work Ensure complex engagements maintain the same high bar for customer experience, documentation, and technical quality as standard setups Raise the bar for the team Act as a technical mentor and coach for Cloud Onboarding Architect I/IIs, helping them develop their troubleshooting, platform expertise, and customer-facing skills Serve as a thought partner for COAs working through technically challenging or ambiguous customer situations Own and continuously improve the Guided Setup checklist, playbooks, kickoff materials, troubleshooting guidance, and internal documentation Identify patterns across customer engagements and turn those patterns into repeatable processes, tooling, documentation, or product feedback Identify recurring setup blockers and drive them toward resolution, whether the underlying fix is a documentation update, process change, enablement opportunity, or product improvement Help establish and maintain consistent standards for setup quality across the team Represent setup cross-functionally Be the primary point of contact into Engineering, Product & Design for setup-related bugs, feature requests, and onboarding UX feedback Work with Customer Solutions Engineering on the setup/support boundary and on customers struggling to reach utilization post-onboarding Collaborate with Training on on-demand content for the setup steps that create the most friction for new customers Contribute setup expertise to Engineering team (EPD/Transport) conversations on PrivateLink and network architecture Bring the voice of enterprise customers into internal discussions about product usability, administration, security, and onboarding Use data, customer feedback, and experience from individual engagements to identify opportunities to improve setup time and activation readiness Skills We’re Looking For Deep, hands-on experience with dbt (2-3 years minimum) as an account admin and data practitioner, at a level where you're a trusted authority on the platform Prior experience as a Cloud Onboarding Architect / Implementation Consultant (or directly equivalent role) — this is not an entry point into the setup team Administrator-level fluency with data warehouses (Snowflake / Databricks / BigQuery / Redshift), repositories (GitHub / GitLab / Azure DevOps), and identity providers (Okta / Entra ID / Google), including SSO, SAML, and OAuth Track record of mentoring or coaching less experienced teammates on technical and soft skills Comfort owning ambiguous, cross-functional problems without a clear playbook — and building the playbook yourself Strong written and verbal communication; able to represent the setup team's perspective to Engineering, Product, and customer executives alike Ability to tailor consistent white glove setup experiences based on an account’s size and strategic importance Strong customer judgment and the ability to balance technical correctness with customer timelines and business priorities Bonus Skills​ Experience with PrivateLink or other secure connectivity patterns Experience contributing to internal enablement content or documentation Comfort being the technical bridge in between, pre-sales, post-sales, Engineering, and Product Familiarity with Rocketlane or similar project/time-tracking tools used for onboarding delivery dbt Architect certified #LI-Remote The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $179,982 — $224,978 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We are looking for a Head of AI Native Operations to build the autonomous systems that run Supabase. Supabase is building an AI-native internal operating system, where agents carry the operational load end to end. We are standing up a new central team to build that platform and run it in production. This is the role that leads it, and it is hands-on. You design the architecture, build the first versions of the critical pieces, and are accountable for whether every agent we run is correct, safe, and improving over time. We build rather than buy, and there are no settled best practices for most of this yet, so you will be setting them. You will lead a team of senior individual contributors extending the platform and driving adoption across teams. What You’ll Be Responsible For In this role, you’ll: - Own the agent platform architecture: The harness and orchestration layer and connectors into company systems, shared context and memory, and the path from prototype to production. - Catch regressions before they ship: Model, prompt, and tool changes can’t ship until they pass the evals. When a new model comes out, you know within hours whether to adopt it. - Make every agent observable: Every run and every decision is traced. For any agent at any time, you can answer what it did, why, what it cost, and how its quality is trending. - Own safety and trust: Design the controls that let agents act without a human in the loop: least-privilege credentials, hard policy limits, escalation thresholds, audit logs, sandboxing, and prompt-injection defenses. - Replace workflows, don’t assist them: Pick the workflows agents can fully own today and take them to production. - Turn wins into a platform: Package what works into reusable components, templates, and eval harnesses so other teams can ship their own production agents without starting from scratch. - Build and direct the team: Hire and grow senior ICs, review their designs and pull requests, and hold the quality bar. - Measure what matters: Track workflows automated, eval pass rates, cost per run, and work absorbed against the hiring plan. How You’ll Think A Point of View on Where Automation Wins You have a thesis about how AI and automation change the way a company operates, and it comes from building, not reading. You can look at a business and say which workflows agents can own today, which they will own in 12 months as models improve, and which still need people, and why. You defend that view with evidence from systems you have shipped, and you update it when the evals tell you to. Eval-Driven You don’t trust an agent because the demo looked good. You trust it because it passes a test set of real cases, and you know which cases it fails. When anything changes, your first question is “what do the evals say?” Inversion Thinking Left alone, an autonomous system tends to fail quietly, or people route around it. So the first question about any agent isn’t “does it work on the happy path?” but “how will this break, and how will we know?” The design follows from that answer: what the agent is never allowed to do, what it escalates, and which alert fires when quality drifts. Recursive Thinking Every system you build should produce the evidence that grades it. An agent isn’t done when it works. It’s done when it tells you, without you in the loop, that it has stopped working. Must Have - Hands-on agent building: Have personally designed and built autonomous agent or LLM systems that ran in production and that others depended on. Prototypes, demos, and configuring a vendor tool don’t count. You don’t need to be a career software engineer, but you must have built these systems yourself. - Architecture depth: Can explain how the pieces fit together (orchestration, tool and data access, context and memory, tracing, evals, guardrails, deployment), with opinions on current frameworks. - Security judgment: Have shipped agents that take real actions with real permissions, and designed the controls that made that safe. - A tested point of view: Can argue, with examples from your own builds, where autonomous systems create real business leverage and where they don’t yet. - Technical leadership: Have led senior builders and set the quality bar through design and code review. Strong Signal - Have replaced a human-run business workflow (finance, operations, support, release management) end to end with an autonomous system. - Are native to Git, Markdown, and pull requests, and comfortable reading and writing Python or TypeScript. - Have taken an internal platform from zero to adoption by teams you did not control. - A software engineering background is a plus, but not required. What Success Looks Like - Six months: 20+ autonomous agents in production on the shared platform, each with an eval suite, tracing, and a named owner. - Regressions get caught, not discovered: Quality problems surface in an alert or dashboard before a user reports them. - Workflows replaced, not assisted: Multiple high-volume workflows are fully owned by agents, with humans handling only escalations. - Trusted by default: No agent causes material financial, security, or customer harm, and every agent’s permissions and actions can be audited. - Teams ship their own: At least three teams outside the core team run production agents built on the platform. - Autonomous team: Your two reports work independently, and you spend your time on architecture and review rather than execution. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. Security isn't a feature at 1Password. It is the product. We're looking for a Principal Product Manager to shape security strategy across the company, working with Security Engineering, who hold one of the highest technical bars in the industry, and with the product teams building everything our customers touch. You'll be the bridge. You'll understand cryptographic and architectural detail well enough to earn the trust of our security engineers, and you'll translate what matters into clear priorities for feature teams. Just as importantly, you'll bring a deep respect for the customer: a security control nobody can stand to use makes everyone less safe. You'll help us find the design that's both rigorous and usable, and have the credibility to say so in a room full of experts WHAT YOU'LL DO - Partner with product teams on security early. Work with PMs and feature teams to understand their upcoming roadmaps, identify security requirements and threat-model implications before designs are locked, and make sure those needs are visible, prioritized, and resourced. - Align Security Engineering with product strategy. Translate feature-team needs into prioritized security work, and make Security Engineering's priorities legible to the rest of the company so tradeoffs are made in the open. - Own an independent security roadmap. Set direction for platform-level security investments, such as key management and recovery, the cryptographic foundations of our zero-knowledge architecture, authentication, and our long-term readiness for post-quantum cryptography. - Lead our strategy for the AI era. Define how 1Password approaches agentic access to credentials, secrets for non-human identities and AI agents, and the trust models emerging around tools and protocols like MCP. - Balance risk and usability with evidence. Help security engineers weigh real-world risk against user friction, using adoption, support, and telemetry data alongside threat models. Shipping with accepted, documented residual risk is sometimes the right call, and you'll help us make and defend those decisions. - Represent 1Password to the security community. Engage with security researchers and our bug bounty program, speak at conferences, and contribute to the wider conversation about where credential security is heading. - Raise the bar for product work. Coach PMs on security thinking, challenge assumptions constructively, and set the standard for how security-critical product work gets done. OUR PHILOSOPHY ON PRODUCT CONSISTS OF FIVE CORE PILLARS: - Focus and execution: Can you ship quickly and measure results? - Customer empathy: Are you motivated first and foremost to solve customer problems? - Effective communication: Can you bring the entire organization, horizontally and vertically, along on the journey? - Go to market: Can you understand and drive business outcomes through product decisions? - Technology: Articulating how our technology beats our competitors Product Managers play a highly visible role at 1Password and are critical to the development and execution of our product strategy. As PMs, we are responsible for setting and championing a high bar for our products. At the Principal level, you also set the standard for how product work gets done. You coach, you challenge assumptions, and you make the whole team better. You must excel at prioritization, collaboration, and communication, while holding yourself and others accountable for measuring quality and business results. You will work with Engineering, Design, Security Research, and GTM teams to ensure every decision we make as a product is grounded in our commitment to verifiable security. WHAT WE'RE LOOKING FOR - 10+ years of product management experience, including significant time on security-critical products or platforms in a SaaS environment. We'll also strongly consider exceptional candidates with equivalent depth, such as security engineers or researchers who moved into product. - Deep, demonstrable knowledge of security fundamentals: cryptography, authentication protocols, identity and access management, zero-knowledge and end-to-end encrypted system design, and threat modeling. - Fluency in the credential and identity landscape, including passkeys, WebAuthn/FIDO, and the standards shaping how people sign in. - A track record of earning credibility with security engineering teams, not just working alongside them. - The ability to read and reason through technical specifications, security audits, and cryptographic design documents. - Experience making and defending risk-based tradeoffs, and explaining them clearly to engineers, executives, and customers. - A history of shipping security features that users actually adopt, and of using friction and adoption data to improve them. - Experience setting strategy at the platform or infrastructure level, and influencing roadmaps you don't own without formal authority. - Communication that scales from a security research paper to an executive briefing without losing precision in either direction. - A strong point of view on how the security landscape is shifting, and the ability to connect it to concrete roadmap decisions. STRONG PLUS - Standing in the security community, through conference talks, publications, research, open-source work, or standards participation. - Hands-on experience with AI security: agent identity and authorization, prompt injection, secrets management for automated systems. - Experience with compliance and certification regimes such as SOC 2, FedRAMP, or FIPS. - Prior work in vulnerability disclosure, incident response, or threat intelligence that gives you a practitioner's intuition. - Experience running or working closely with a bug bounty program or researcher community. WHAT YOU CAN EXPECT - Working with a passionate, highly motivated Product and Security team that holds an exceptional bar and genuinely cares about getting it right - A direct line to decisions that shape the security architecture millions of people depend on every day - Empowerment to set long-term security product strategy and drive it through execution - A culture where technical depth is respected, tradeoffs are named honestly, and shipping the right thing matters more than shipping fast - A collaborative environment where the best argument wins, regardless of title USA-based roles only: The annual base salary for this role is between $238,000 USD and $357,000 USD; 15% annual bonus, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $208,000 CAD and $312,000 CAD; 15% annual bonus, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

The role You will build and lead our Forward Deployed Engineering team: the engineers who connect estaie to the hospitality ecosystem and make those integrations work in production. You own how the team works, what it ships, and the quality bar it holds.

C# разработчик NanoCAD Компания: Grosssoft Локация: РФ, удаленно Формат работы: Удаленно Зарплата: Почасовая, от 150 000 до 250 000 ₽ Срок проекта: проектная занятость, от 6 месяцев Загрузка: Full-time Сфера: Промышленность Оформление: договор с ИП (у вас открыто ИП) Ключевые задачи Проектирование и разработка архитектуры модульного решения с нуля.