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Location: New York Workplace: hybrid ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate, and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over $27M from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. Merkle Science is seeking a Product Marketing Manager to join our growing team. This is a hands-on role for someone with experience in crypto, blockchain, digital assets, or Web3 who enjoys translating complex products into compelling customer stories and driving product adoption through strategic marketing programs. Working closely with our product, sales, customer success, and events teams, you'll own the execution of product marketing campaigns that generate pipeline, accelerate product adoption, and support revenue growth. Our clients include cryptocurrency businesses, financial institutions, government agencies, regulators, and law enforcement organizations around the world. What You'll Do Own product marketing campaigns for Merkle Science's product portfolio, from launch through ongoing customer adoption. Develop positioning, messaging, and marketing content that clearly communicates product value to enterprise customers. Build and execute email newsletters, product announcements, customer education campaigns, and lead nurture programs using HubSpot. Plan and execute webinars, conferences, customer events, and executive roundtables that generate qualified sales opportunities and accelerate pipeline. Create customer-facing collateral including product one-pagers, presentations, case studies, sales enablement materials, and website content. Partner closely with Product and Sales to support product launches, feature releases, and go-to-market initiatives. Manage HubSpot, including CRM segmentation, workflows, email automation, reporting, and campaign performance. Track campaign performance and product marketing KPIs, providing recommendations to improve adoption, engagement, and sales conversion. Coordinate with internal stakeholders to ensure consistent product messaging across all customer touchpoints. Requirements Prior marketing experience within crypto, blockchain, digital assets, or Web3 (required) Experience in product marketing, B2B SaaS marketing, or go-to-market strategy preferred Strong experience with HubSpot, email marketing, CRM management, and marketing automation Experience creating product messaging, customer communications, newsletters, and sales enablement materials Excellent written and verbal communication skills with the ability to explain technical concepts to business audiences Experience supporting webinars, conferences, executive events, and customer-facing marketing programs Highly organized, detail-oriented, and able to manage multiple concurrent product launches and campaigns Self-starter with a strong sense of ownership and accountability Native English speaker Based in the United States (ideally East Coast) ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Location: Remote (Global); Brooklyn, NY Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world’s assets on one open, programmable blockchain platform. About the Role Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world’s assets on one open, programmable blockchain platform. We are looking for a Staff Engineer to join our Platform Engineering Group. This team is responsible for maintaining and advancing the Avalanche blockchain and its ecosystem. Ava Labs is hiring a Staff Engineer into the Platform Engineering Group to serve as a full-time maintainer of AvalancheGo and the technical anchor for the node domain: consensus, peer-to-peer networking, state sync, the VM plugin interface, and the node's integration with the C-Chain EVM (coreth and libevm). This is a hands-on role that requires an Architect/Solver build, with tech lead responsibilities during coordinated network upgrades. You will own the health of the codebase, set the technical direction of the domain across the teams that build on it, and multiply the effectiveness of the engineers around you. What You Will Do - Own AvalancheGo as its maintainer: Maintain and advance the software powering the Avalanche network, as well as its environments. Manage contributions from both the team and the community in a fair, effective, and thoughtful manner. You hold the merge bar for network-critical code; assess contributions from the team and the community fairly and quickly, and steward backwards compatibility for the node operators and Avalanche L1 builders downstream of every release. Your review will be the last gate before code reaches every validator. - Set and enforce engineering standards. Define what production quality means for the team. - Design, build, and advance Avalanche’s critical systems. You’ll be contributing directly to the critical systems in the Avalanche network: consensus, networking (P2P), state management and sync, the VM interface, and performance of both the network nodes and their EVM integrations. - Champion reliability and production readiness. Establish observability standards (structured logging, metrics, tracing, profiling), define SLOs for node performance, and lead incident review and postmortem culture for network incidents. - Raise and define release quality. Own the engineering lifecycle for network-critical code: versioning and upgrade coordination, backward compatibility, staged rollouts across test networks, and hard test quality metrics (unit, property, fuzz, race-detection, and end-to-end network tests) before anything ships. - Mentorship. Mentor senior engineers into larger scope, run design reviews that measurably change outcomes, and spread your context deliberately so the team can onboard, operate, and extend the node without you.Turn a team of individual contributors into a team with shared standards, shared context, and a high quality ceiling. Becoming a single point of failure is a failure mode of this role, and you will be expected to resist it. - Evangelize the project within the org: Write ADRs, release notes, and technical communications; engage external contributors; and model what a great open source citizen looks like. - Drive protocol direction through the ACP process. You originate and champion Avalanche Community Proposals, represent the node's constraints in protocol design conversations, and position AvalancheGo for upgrades before they activate on Fuji and Mainnet. Your bets play out over 6 to 18 months. What Makes You a Good Fit - A self-starter with insatiable curiosity combined with being comfortable diving into someone else’s code to understand how it works. You treat the code as the source of truth and are able to discern nuances from there. - Meticulous attention to detail and an appreciation for clean, maintainable code. You create software as much for the end user as for the love of the craft. - You believe in growing a culture of excellence. As a Staff Engineer you will set the definition for development standards among your team, as well as cultivating the quality you want to see in the developers you work with. - You understand what makes a great open source project great. Not just in terms of code quality, but in terms of its ecosystem, its community, and its contributors - You have operated at Staff scope before, irrespective of whatever your title said. You can point to a workstream you created rather than inherited, one that other teams came to depend on, and to the case you built to get it funded. - You influence without authority. You have driven technical direction across teams that did not report to you, through alignment and credibility rather than escalation, and engineers from those teams would vouch for it. - You treat the code as the source of truth. You are comfortable diving into a large unfamiliar codebase, discerning its nuances from the source, and making impactful contributions within weeks. - You know what makes a great open source project great: the code quality, and equally the review culture, the contributor experience, and the trust of the ecosystem that depends on it. You have been on the maintainer side of that relationship. - You hold a high bar and make it stick. You have set standards that other engineers actually follow, pushed back when work below the bar tried to land, and done it in a way that made people want to work with you rather than around you. - You still do the unglamorous work visibly. Reviews, on-call, migrations, and documentation remain part of the job at this level, and you treat them as the job rather than a distraction from it. This Role Is Not for You If - You want to write smart contracts or build dapps. This is node and protocol engineering, several layers down. - You want a purely advisory position. - You consider reviews, on-call, migrations, and documentation to be beneath the level. They remain part of the job, done visibly. - You are uncomfortable working in public. Your code, your reviews, your design docs, and occasionally your mistakes will be visible to the entire ecosystem. What You Will Bring - 8+ years of software engineering experience, including 3+ years operating at a staff/lead level (or clearly performing at that scope), with a track record of raising team-wide engineering quality. - Expert-level Go: deep fluency with the concurrency model (goroutines, channels, the race detector), profiling and performance tuning (pprof, benchmarks), module and dependency management, and idiomatic API design in large codebases. - Significant open source experience - maintainer or sustained core contributor on a widely used project, with a public record of reviews, RFCs/design docs, and community engagement (a GitHub profile we can read is worth more than any bullet on a resume). - Proven production experience designing, shipping, and operating distributed systems at scale: consensus or replication, P2P networking, state synchronization, or comparable high-availability systems. - Strong testing discipline across the pyramid: unit, property-based/fuzz, integration, and end-to-end network testing, plus experience building CI that enforces it (GitHub Actions preferred). - Experience with release engineering for software users self-host and cannot be force-upgraded: semantic versioning, backward compatibility, migration paths, and coordinated network upgrades. - Working fluency with Linux-based infrastructure, containerization (Docker/Kubernetes), and observability tooling (Prometheus/Grafana or equivalent). - BS in Computer Science or related field, or equivalent demonstrated experience. (**This is not a guarantee of compensation or salary, a final offer amount may vary based on factors including but not limited to experience and geographic location.) WHY AVA LABS? Ava Labs builds Avalanche, the blockchain platform institutions use to bring finance onchain. Since Avalanche launched in 2020, we have helped exchanges, banks, asset managers and fintechs move from experiments to live products, from tokenized funds and private credit to stablecoin payments and, now, the clearing and settlement ledger for the NYSE’s upcoming tokenized securities platform. Avalanche lets institutions run their own purpose-built networks with the performance, costs and participation controls they need, while staying connected to a broad ecosystem of DeFi protocols, liquidity and developers. We are a team of experts in engineering, finance, economics, product and law, headquartered in New York City. You will work alongside people who have built at leading banks, exchanges and crypto companies, with the scope to shape how capital markets move onchain over the next decade. Ava Labs is backed by investors including Andreessen Horowitz, Polychain Capital and Initialized Capital. Ava Labs is committed to diversity in the workplace and we’re proud to be an Equal Opportunity Employer. We do not hire on the basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided on the basis of qualifications, merit, and business need.

Location: San Francisco, CA 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 Anthropic runs some of the largest AI training and inference workloads in the world, across multiple hardware platforms. We work from the chip level up with our silicon partners, and we are now deepening that investment by building a custom silicon team. You will be one of a small number of people covering a large surface. We are opening searches across the key domains below, and we are interested in candidates whose center of gravity sits in any of them: Front-end design Pre-silicon verification Physical design Design for test Analog and mixed-signal Technology and foundry CAD and design infrastructure Packaging, signal integrity, and power integrity This is a role for someone who has shipped silicon, has a realistic relationship with schedules, and is comfortable making consequential calls without a large organization behind them. Key responsibilities Take part in end to end activities for the program: strategy, specification, execution and the technical bar. Write the specifications and interface definitions that others design against and keep them coherent as the architecture converges Make and own directional calls: technology and IP selection, where we build versus buy versus license, and where we take design authority versus rely on partners Build and share AI-assisted approaches to the code-like parts of your domain, and help the team learn what Claude can genuinely accelerate Contribute to the architecture and micro-architecture discussion from your domain's perspective, including the tradeoffs your area imposes on the rest of the chip Partner with Anthropic's inference, performance, kernels, and infrastructure teams on hardware-software co-design, and with our hardware systems team on bring-up and integration Support first-silicon bring-up and debug when it arrives, regardless of which domain you came in through Minimum qualifications Deep, hands-on expertise in at least one silicon domain: front-end design, pre-silicon verification, physical design, design for test, analog and mixed-signal, technology and foundry, design infrastructure, or packaging and signal/power integrity Direct personal contribution to silicon that taped out and shipped, with ownership you can speak to in detail Working fluency in the domains adjacent to your own, sufficient to reason about chip-level tradeoffs outside your specialty Experience working with external partners — ASIC houses, IP vendors, foundries, or test partners — including reviewing their work and holding a technical bar Track record of owning directional technical decisions and their consequences, not only making recommendations Practical experience using AI coding tools in your own work, and clear ideas about where they help and where they do not Clear written and verbal communication, and experience driving alignment across teams and organizations Comfort operating with high autonomy and little scaffolding on a highly dynamic program Preferred qualifications Experience on machine learning accelerators, high-performance compute, or other large, high-bandwidth designs Experience on a founding or early-stage silicon team, including standing up flows, methodology, or tooling from nothing Experience with both partner-executed and fully in-house programs, and a view on the tradeoffs between them Familiarity with the chip-package-system interface and the tradeoffs that cross it Experience with hardware-software co-design and working directly with compiler, kernel, or runtime teams Experience building or extending AI-assisted design, verification, or physical design flows Depth in memory subsystems, on-die interconnect, numerics, or low-power design Representative projects Writing the specification for a compute datapath and defending its numeric format strategy against the alternatives Standing up front-end flows and release management from scratch, then handing releases to an ASIC partner on a fixed cadence Running fast in-house place-and-route loops on a critical block and feeding PPA reality back into the architecture Selecting and qualifying PHY IP, then validating it on first silicon Building a formal verification methodology for a new block and deciding where formal earns its keep versus simulation Defining test strategy and the automated-test-equipment handoff interface with our partner Prototyping a Claude-assisted workflow for RTL review, coverage triage, or specification consistency checking, and reporting honestly on what it did and did not do Debugging a first-silicon failure that crosses your domain and someone else's 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 — $485,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: San Francisco, CA | New York City, NY | Seattle, WA 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 Anthropic trains and serves frontier AI models on some of the largest and most diverse accelerator fleets in the world, and the hardware those models run on is one of the most direct levers we have on capability, cost, and reliability. Our Hardware Systems team owns the system-level architecture of that compute — from the package boundary out through boards, racks, interconnect, power, cooling, and the datacenter interface. We're hiring senior hardware systems architects and technical leads who can work broadly across the hardware stack and go deep where it's needed, and who have the judgment to make and own directional calls — what to build, what to buy, what to co-design with a partner. You'll set architecture, write the specs that partners and internal teams build against, and own the validation and qualification strategy that proves the result. The skillsets we need span power, cooling, mechanical, interconnect, signal integrity, data and control plane, system management, reliability and serviceability — applied across networking, compute, storage, and accelerator systems. You'll work closely with our ML performance, infrastructure software, supply chain, and datacenter teams, and directly with hardware vendors and partners across the stack. And because this is Anthropic, you'll have Claude as a genuine collaborator — we expect this team to push on what AI-assisted hardware design and review can look like. Key responsibilities Own system path-finding and architecture for your domain across the breadth of compute Anthropic deploys — from concept and requirements through spec, design review, and deployment — and act as a reviewer and thought partner across the others. Write and own high-level requirements and specifications — system, board, interface, rack — that partners and internal teams build against. Review partner and vendor designs against our requirements, make the build / buy / co-design calls with supply chain and partnership teams, and surface misalignment or schedule risk early enough to act on it. Drive the interconnect and networking architecture that ties our systems together — scale-up and scale-out fabrics, NICs and switches, optics, and topology. Drive board-, chassis-, and system-level architecture with our partners — major component placement, PCB architecture, connector and cable design, and power and thermal budgeting — at the chassis, rack, and data-hall level. Develop performance simulations, hardware models, and "what-if" scenarios to evaluate and choose between candidate hardware architectures. Define validation, bring-up, and qualification strategy for new platforms — including the telemetry and reliability targets they need to hit in the fleet — and track the technology roadmaps and vendor landscape that shape what we deploy in the short and long term. Partner with ML performance and infrastructure software teams so hardware decisions land well for the workloads that actually run on them. Help shape how hardware engineering operates at Anthropic — develop and apply AI-assisted approaches to design, spec review, and validation; establish review forums, spec standards, and partner engagement. Minimum qualifications Deep, hands-on expertise in at least one core hardware-systems domain (e.g., interconnect, power, thermal) for large-scale compute or networking systems. Experience owning hardware system architecture at scale — machine, rack, row, and cluster — and authoring specifications and requirements. Experience taking hardware from architecture through bring-up and high-volume production deployment. Experience working with external hardware vendors and partners — reviewing their designs and holding them to a specification. Ability to reason about trade-offs across adjacent hardware domains (e.g., interconnect ↔ power ↔ thermal ↔ mechanical) rather than within a single one. Track record of technical leadership — owning directional decisions and their consequences, and driving alignment across teams and partners. Comfort operating with high autonomy and limited process in a fast-moving, ambiguous environment. Strong written communication — you'll write specs and reviews that many teams depend on. Preferred qualifications 8+ years in hardware systems architecture or engineering for hyperscale, HPC, AI/ML, or high-end networking platforms. Experience with AI accelerator systems (GPU, TPU, or other custom ASIC platforms) and their scale-up / scale-out fabrics. Familiarity with the chip-package-system interface and co-design. Experience establishing a new function, program, or engineering practice. Comfort working with — and curiosity about pushing — AI tools as part of an engineering workflow. Degree in EE, CE, ME, CS, or a related field, or equivalent experience. Depth in one or more of: High-speed SerDes, PCIe/CXL, Ethernet/InfiniBand, and optical interconnect. BMC and platform firmware, hardware root of trust, and secure boot. 48V/HVDC power delivery and direct liquid cooling. Fleet-scale reliability engineering and RAS architecture. Signal and power integrity. Representative projects Define the scale-up and scale-out interconnect architecture for a next-generation training platform, from link budget and topology through switch / NIC / optics selection and the bring-up and validation plan. Architect the management and control plane for a new hardware system: BMC and host control, power / reset sequencing, secure boot and attestation, and the telemetry surface the fleet needs. Own the rack-level power and thermal architecture for a liquid-cooled accelerator rack, and the interface spec between that rack and the datacenter that hosts it. Build the reliability model and RAS strategy for a multi-thousand-node fleet — failure budgets, derating policy, telemetry requirements, and serviceability targets — and drive the design changes that hit them. Run the technical evaluation of a partner's proposed system design against our requirements, write up where it falls short, and drive the changes end to end. Prototype an AI-assisted workflow for partner design review and spec consistency checking, and put it to work on a live platform. 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 — $485,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: San Francisco, CA 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 AV Production Specialist, you'll own the day-to-day operation of the event technology behind how Anthropic communicates — the all-hands, the executive presentations, the live broadcasts. You are the owner of these productions: accountable for their technical outcome from the moment a request arrives through to the follow-up after the room clears, and the technical partner our executives, events team, and communications partners rely on to make them land. This is an operations role with engineering depth behind it. You'll work across the same technology stack as our broadcast engineering practice with your center of gravity in execution and service. You'll keep our event spaces in a state of readiness through preventative maintenance, and be the calm, capable presence that executives, comms partners, and event producers learn to trust. Your work directly enables the collaboration and transparency that advance our AI safety mission. Responsibilities Live Event Production & Run-of-Show Own the technical execution of live and hybrid events, from small executive presentations to company-wide all-hands broadcasts reaching thousands of participants Serve as technical director for live productions across the full range, up to and including executive presentations and company-wide broadcasts Operate production systems during live events including video switchers, audio consoles, camera systems, playback, and streaming encoders Build and run the technical run-of-show: cue sheets, source lists, rehearsal schedules, and backup plans Direct contractors and onsite technicians during productions, delegating clearly under time pressure Troubleshoot and escalate complex production issues with clear diagnostic context Communicate status, risk, and resolution to non-technical stakeholders in clear, calm, jargon-free language Handle confidentiality and access requirements for sensitive sessions, including recording and streaming controls Event Intake, Scoping & Scheduling Own the event technology intake process end-to-end: request triage, technical scoping conversations, and staffing Right-size production approach to event type, translating stakeholder goals into an equipment and staffing plan that fits the constraints and scope of our team’s SLA Take on genuinely novel events and leave a repeatable standard behind — a template, runbook, or gear list that makes the next one easier than the first and repeatable by the team Maintain the event technology calendar and coordinate coverage across the AV Operations team Partner with Events, Internal Communications, and Workplace teams on lead times, expectations, and readiness Support Operations & Room Health Execute preventative maintenance programs and recurring room sweeps across event spaces and conference rooms Maintain and test inventory of equipment including wireless microphones, cameras, and portable production gear pre event, following event production framework Contribute to runbooks, standard operating procedures, and knowledge base documentation Surface recurring operational pain points to AV Engineering as candidates for systemic fixes You May Be a Good Fit If You: Have 8+ years of hands-on experience in AV operations, live event production, or technical event support Have owned the technical side of live productions end-to-end — not just operated a single position Bring working fluency across event audio, video, camera, and streaming systems, with enough depth to diagnose problems rather than only report them Are energized rather than drained by being the front-facing technical partner to executives and event producers Bring structure to ambiguity by building systems for repeatable events Strong Candidates May Also Have: Technical direction for corporate broadcasts, conferences, or multi-camera productions Q-SYS DSP platform, including reading and reasoning about existing audio/video routing and control designs PTZ and professional camera systems, camera control units, and multi-camera workflows Video conferencing platforms and hardware including Google Meet, Zoom Rooms, and hybrid meeting technologies Live streaming workflows including encoders and encoding settings, contribution and delivery protocols (RTMP, SRT, HLS) Network fundamentals for AV-over-IP including multicast, VLANs, QoS, and bandwidth management Ticketing and workflow systems such as Jira, and building intake or request workflows within them Coordinating AV contractors, integrators, and labor for event coverage Role Specific Location Policy: This role will be based in our San Francisco HQ This role is expected to be in office 5 days per week Occasional evening and early-morning coverage is expected around major events 4-6 weeks of travel annually will be expected for this role for distributed event support as needed Deadline to apply: None. Applications will be received on a rolling basis. 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: $285,000 — $325,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: 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 Messaging Infra team is looking to hire a Senior Software Engineer who is excited to solve large scale streaming infrastructure and distributed messaging infrastructure problems. Reddit’s mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit. For more information, visit redditinc.com. Our messaging layer receives 50+ millions of messages/second serving 100GB/s of network traffic. We do this while efficiently storing over a petabyte of live topic data across ~1k brokers. As a senior engineer, you will partner closely with your team and our biggest users (ML/AI/Search) to build technical solutions that can scale to Reddit’s product growth. You’ll do this while maintaining an extremely high availability and reliability bar to ensure that Reddit’s users continue to get a great experience across our entire product portfolio. In your day-to-day, you can expect to: Contribute to developing the team and organization’s long term technical strategy. Refine and maintain our messaging infrastructure to support the asynchronous communication of services supporting hundreds of millions of users. Own the infrastructure (managed and self-hosted) that supports produce and consume requests along with the necessary tooling and automation to efficiently operate the infrastructure. Who you might be: 5+ years of experience building internet-scale software, preferably with a focus on machine learning storage infrastructure. Software development experience in one or more general purpose programming languages; Golang, Python, C++, Java Experience working closely with technologies like Kafka, and Kubernetes. Strimzi is a huge plus! 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 #LI-Remote 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: 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 Team Foragers is a new Field Services team within our physical infrastructure organization. We're the boots on the ground for Anthropic's physical infrastructure: the people who get hardware into racks, gear commissioned, and sites handed over. The team is being stood up now, so early hires shape how we operate. This role is the lab-focused counterpart to our traveling field engineers. Instead of covering sites across the country, you own our Bay Area hardware labs from end to end. About the Role Your mission is to ensure our hardware labs are functional, useful, and ready to support the growing number of teams and projects that need access to physical hardware. You’d own what shows up, how it’s powered, cooled, cabled, tracked, set up, and made functional. This includes both standard hardware (think typical accelerator setups) and more specialized ones like ensuring our security teams have access to all the right headers and other hardware instrumentation on the machines. Understanding and anticipating the needs of the various teams that rely on the labs will be another critical part of this role. You’ll be expected to take a lot of ownership and initiative over the lab and what’s in it, including reaching out to partner teams to figure out what they’d need in the future and making sure it’s there before it starts to block them. This will require you to collaborate closely with those partner teams, so a breadth of knowledge around hardware is extremely useful. You’d be the first dedicated lab manager, so part of this role will include shaping it to scale from our current lab to much larger ones. What You’ll Do Run the physical lab across both sites: receiving and staging, rack-and-stack, cabling, power distribution and load planning, cooling, floor layout Bring up new server and accelerator platforms as they arrive, from crate to a machine someone can SSH into: firmware and BIOS/UEFI setup, out-of-band management, OS install, network provisioning Own hardware procurement for the lab: work with teams on what's coming, order ahead of need, chase quotes and lead times, keep receiving and inventory in order Own RMA processes end-to-end for lab hardware: triage, swap, ship, track, close; drive vendor escalations Build the one-off setups engineers ask for: debug and programming harnesses (JTAG/SWD/UART), remote power switching, console and KVM access, and the occasional improvised fix for hardware running outside the conditions it was designed for Oversee smarthands and contractor work on-site (electricians, cabling crews, riggers, integrators, OEM field engineers): scope it, dispatch it, validate the quality Handle physical access, asset auditing, and lifecycle tracking for hardware that is expensive and sometimes pre-release Write it down: build the playbooks and lightweight tooling (inventory, remote power, console access) so remote teams can use the lab without pinging you for every step Who You Are Hands-on experience running a hardware, systems, or datacenter lab, or a similar physical compute environment: rack-and-stack, copper and fiber cabling, power distribution (PDUs, circuits, phase balancing) Working knowledge of server hardware and its management plane: BMC/IPMI/Redfish, BIOS/UEFI configuration, serial console, PXE/network boot, firmware updates Enough Linux and networking (VLANs, DHCP, DNS, basic switch config) to take a bare machine to a state a remote engineer can use Have managed vendors, contractors, quotes, and freight for physical equipment Comfortable and safe with power tools, bench power supplies, and a wiring or rack elevation diagram Work independently with minimal supervision , and know when to ask Bias toward action and comfort with ambiguity: you'd rather move and adjust than wait for perfect information Communicate clearly and directly, especially when flagging risks or blockers Strong Candidates May Also Have Stood up a lab or datacenter room from empty: layout, power and cooling budget, first round of purchasing Time around high-density accelerator systems (GPU/TPU-class racks), liquid cooling, or pre-release/NPI hardware bring-up Electronics bench skills: soldering and rework, scope and multimeter, custom cable and debug harnesses, JTAG probes, light fabrication (3D printing, drilling, mounting) Supported hardware security, firmware, or platform bring-up work Experience with DCIM or asset-management tooling (NetBox, ServiceNow, etc.) Bought hard-to-source or specialty hardware and dealt with the compliance and logistics that come with it Location This role is based in our San Francisco office (500 Howard St). Travel to nearby lab spaces is required so expect to be in-office more frequently than Anthropic's standard 25% hybrid baseline. 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: 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 Anthropic is looking for an Engineering Manager to lead the Search Platform team. This team builds the search stack behind Claude: the indexes, retrieval and ranking systems and serving infrastructure that power web search across claude.ai , the API and agentic surfaces. Search is core to how Claude answers questions about the world, and the team owns both the problem and the solution end to end: growing the index, improving retrieval quality and running the serving stack at production scale. The same platform also serves research workloads, so demand comes from multiple user surfaces, often at the same time. The role carries a product dimension. Search sits close to the user experience and PM coverage is thin at times, so often the EM helps decide what a good search experience looks like, not just how to build it. You'll partner with product teams shipping search-backed features, research teams that depend on retrieval quality and capacity, and the infrastructure teams that run the systems underneath. We're looking for someone with real search experience who can be hands-on when needed: reviewing designs, digging into relevance regressions and holding their own in technical debates. Key Responsibilities Lead and grow the team of engineers building Anthropic's search platform: indexing, retrieval, ranking and serving Own the strategy and roadmap for the platform and how Claude's search needs are met over time Own search quality: evaluation methodology, relevance measurement, regression detection and the ranking improvements they drive Operate the platform at scale, balancing product traffic against research and training demand while holding a high bar on reliability, latency and cost Wear the product hat when the work calls for it: prioritize what the search experience needs, sequence launches and represent search in product discussions Drive cross-team collaboration with product, research and infrastructure partners; articulate dependencies, risks and progress clearly Be hands-on where it matters: design reviews, incident follow-ups and the occasional deep dive into why relevance moved Recruit, close and retain strong engineers in a competitive market Minimum Qualifications Significant experience managing engineering teams, including hiring and growing a team through rapid change Direct experience building or operating search systems at scale: indexing, retrieval, ranking or query serving Enough technical depth to be hands-on when needed; you can review designs, read code and engage credibly with senior ICs A product mindset and comfort making product calls when there isn't a PM in the room A track record of running high-scale, latency-sensitive production systems with real reliability requirements Strong cross-functional skills; you can align product, research and infrastructure partners with different priorities Experience recruiting and closing senior engineers Interest in AI safety and Anthropic's mission Preferred Qualifications Experience with the economics of search: index freshness, storage and serving costs, quality vs cost tradeoffs Background in embeddings, ranking models or ML-based retrieval Experience migrating traffic off a vendor onto in-house infrastructure Exposure to LLM products and the retrieval demands of large-scale training and inference 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Berlin Office; Bosnia; Romania; Norway; Estonia; Latvia; Slovenia; Netherlands; Hungary; Portugal; Poland; Serbia; Germany; Austria; Finland; Albania; Lithuania; Slovakia; Ireland; Bulgaria; Denmark; Belgium; Czech Republic; United Kingdom; Croatia; Spain; Greece Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us.   Your main goal will be to make n8n's Core Platform ready for the company's next stage of growth: more scalable, reliable, secure, and flexible as customer usage and technical complexity increase. You'll own the foundations that everything else, including our AI and agent capabilities, is built on.   To do so, here are your responsibilities:   OWN THE CORE PLATFORM STRATEGY & ROADMAP - Define and communicate the product strategy and roadmap for the Core Platform in partnership with Engineering and Product leadership. - Prioritize foundational investments based on customer impact, enterprise needs, technical risk, and engineering effort, and make trade-offs between near-term customer needs, technical debt, and long-term architecture explicit. - Lead product discovery for technically complex problems, engaging directly with enterprise customers and internal customer-facing teams.   SCALABILITY, RELIABILITY & EXECUTION ENGINE - Drive work on the scalability and reliability of n8n's execution engine, including areas like worker pools and distributed execution. - Improve the reliability of triggers and execution behaviour across complex deployment setups, from multi-main Cloud environments to self-hosted enterprise installations. - Shape a more secure and flexible approach to executing code within n8n.   MAJOR RELEASES & CROSS-ORG ALIGNMENT - Drive the planning and release of major or breaking platform versions, including migration strategy, stakeholder communication, and risk management. - Establish clear success measures and keep the squad accountable for outcomes, not only delivery. - Act as the bridge between the Core team and the wider org: Product, Sales, Solutions Engineering, Customer Success, and Support, making platform trade-offs legible without oversimplifying them. - Treat internal product teams as customers of the platform: proactively mine their roadmaps for implicit platform requirements and turn cross-cutting needs into explicit Core Platform work before they become blockers.   REQUIREMENTS   Must-haves - Platform product experience: You have 5+ years in Product, with at least 2 to 3 years on platform, infrastructure, developer-facing, or backend/API products. - Technical depth: You're credible with senior engineers. You can reason about distributed systems, execution models, and reliability/scalability trade-offs, and hold your own in an architecture discussion. You're at home with non-functional requirements, where the details are the product. - Complex delivery track record: You've led cross-team technical initiatives with real delivery risk, ideally including a migration or breaking change. - Prioritization under ambiguity: You make trade-offs explicit and connect foundational or technical-debt work to customer and commercial outcomes. - Ownership and autonomy: You grab problems without being asked, fix what you see broken, and drive outcomes without waiting for direction. - Exceptional communication: You make complex platform topics understandable for technical and non-technical audiences alike. - Enterprise platform reality: You understand what running software in customer-controlled environments means, including self-hosted, air-gapped, and restricted deployments   Nice-to-haves - Hands-on ability: You can read code or prototype, even if you're not shipping it. - Enterprise exposure: You've worked with B2B SaaS requirements like security, compliance, or deployment complexity. - Security partnership: You're comfortable working with security teams on code execution, isolation, or compliance topics. - Domain familiarity: You know workflow automation, orchestration, or open-source / developer-community products. - Writing culture: You default to writing things down to create clarity and alignment. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Требования: — 5+ лет в production ML/NLP: системы, которые вы поддерживали после запуска — техническое лидерство: решения по стеку за команду, ревью, ответственность за сдачу шире своих задач — RAG целиком: гибридный поиск, чанкинг, реранкинг, методика оценки — self-hosted инференс открытых моделей, квантизация, расчет GPU — eval-наборы: чем вы докажете, что новая версия не хуже прошлой — развертывание в закрытом контуре, на инфраструктуре заказчика Половина роли техническая, половина переговорная: защищать архитектуру и метрики качества перед ИТ-директором заказчика. Условия: — Оплачиваемый испытательный срок — Бонусы за сдачу проектов — Офис в Алматы — Зарплата: 1 000 000 – 1 400 000 ₸

Задачи: — Определение дорожной карты и технической стратегии для направления автоматизации, согласование приоритетов с бизнес-целями — Проектирование, создание и поддержка масштабируемых, высоконагруженных автоматизационных рабочих процессов с использованием n8n и других low-code платформ — Внедрение автоматизаций с использованием ИИ, включая интеграцию LLM, AI-агентов, векторных баз данных и интеллектуальных рабочих процессов в бизнес-процессы — Наставничество инженеров, установление инженерных стандартов, проведение обзоров рабочих процессов и кода, поддержка технического роста команды — Взаимодействие с кросс-функциональными и международными заинтересованными сторонами для трансформации бизнес-требований в масштабируемые технические решения — Обеспечение надежности, безопасности и масштабируемости инфраструктуры автоматизации и интеграций компании — Постоянное улучшение архитектуры автоматизации, практик разработки и операционной эффективности Требования: — Опыт работы в роли технического лидера, тимлида или старшего инженера по автоматизации с готовностью взять ответственность за техническое направление — Практический опыт работы с платформами автоматизации и low-code, такими как n8n, Make, Airtable или аналогичными — Опыт реализации решений с использованием ИИ, включая LLM, RAG-системы, агентные рабочие процессы и API, такие как OpenAI или Anthropic — Уверенные навыки программирования на JavaScript/TypeScript и Python — Глубокое понимание REST API, Webhooks, механизмов аутентификации, SQL и системных интеграций — Опыт проектирования масштабируемых архитектур и принятия технических решений для бизнес-критичных систем — Аналитический склад ума и способность оптимизировать сложные бизнес-процессы через автоматизацию — Уровень английского B2 или выше для эффективного общения с международной командой Желательно: — Опыт работы с AI-фреймворками, такими как LangChain или LlamaIndex — Опыт работы с Jira Software и Jira Service Management, включая продвинутые интеграции API — Опыт работы с self-hosted инфраструктурой, Docker, CI/CD пайплайнами и инструментами мониторинга, такими как Prometheus и Grafana Условия: — Поддержка релокации в один из хабов: Кипр, Грузия, Сербия или Казахстан с помощью для сотрудника и его семьи — Гибкий формат работы из офиса или удаленно — Медицинское страхование — Бюджет на образование: языковые курсы, профессиональное обучение и сертификации — Бюджет на здоровье: компенсация расходов на ментальное здоровье и фитнес — Отпуск: 20 дней ежегодного отпуска и оплачиваемый больничный

Задачи: — Определение дорожной карты и технической стратегии для направления автоматизации, согласование приоритетов с бизнес-целями — Проектирование, создание и поддержка масштабируемых, высоконагруженных автоматизационных рабочих процессов с использованием n8n и других low-code платформ — Внедрение автоматизаций с использованием ИИ, включая интеграцию LLM, AI-агентов, векторных баз данных и интеллектуальных рабочих процессов в бизнес-процессы — Наставничество инженеров, установление инженерных стандартов, проведение обзоров рабочих процессов и кода, поддержка технического роста команды — Взаимодействие с кросс-функциональными и международными заинтересованными сторонами для трансформации бизнес-требований в масштабируемые технические решения — Обеспечение надежности, безопасности и масштабируемости инфраструктуры автоматизации и интеграций компании — Постоянное улучшение архитектуры автоматизации, практик разработки и операционной эффективности Требования: — Опыт работы в роли технического лидера, тимлида или старшего инженера по автоматизации с готовностью взять ответственность за техническое направление — Практический опыт работы с платформами автоматизации и low-code, такими как n8n, Make, Airtable или аналогичными — Опыт реализации решений с использованием ИИ, включая LLM, RAG-системы, агентные рабочие процессы и API, такие как OpenAI или Anthropic — Уверенные навыки программирования на JavaScript/TypeScript и Python — Глубокое понимание REST API, Webhooks, механизмов аутентификации, SQL и системных интеграций — Опыт проектирования масштабируемых архитектур и принятия технических решений для бизнес-критичных систем — Аналитический склад ума и способность оптимизировать сложные бизнес-процессы через автоматизацию — Уровень английского B2 или выше для эффективного общения с международной командой Желательно: — Опыт работы с AI-фреймворками, такими как LangChain или LlamaIndex — Опыт работы с Jira Software и Jira Service Management, включая продвинутые интеграции API — Опыт работы с self-hosted инфраструктурой, Docker, CI/CD пайплайнами и инструментами мониторинга, такими как Prometheus и Grafana Условия: — Поддержка релокации в один из хабов: Кипр, Грузия, Сербия или Казахстан с помощью для сотрудника и его семьи — Гибкий формат работы из офиса или удаленно — Медицинское страхование — Бюджет на образование: языковые курсы, профессиональное обучение и сертификации — Бюджет на здоровье: компенсация расходов на ментальное здоровье и фитнес — Отпуск: 20 дней ежегодного отпуска и оплачиваемый больничный

Location: San Francisco, CA PlanetScale is growing rapidly and reinventing the database space. Our database platform offers developers the fastest and most reliable Postgres and Vitess/MySQL databases, enabling businesses to efficiently handle data and workloads of all sizes. PlanetScale is backed with over $100M in venture financing from top-tier VCs including a16z, Kleiner Perkins, SignalFire, and Insight Venture Partners. And we serve some of the most innovative companies in the world such as Block, Anysphere (Cursor), MyFitnessPal, Etsy, Kick, and thousands more. Our customers entrust us with what is often their most precious digital asset, their data, so the stakes couldn’t be higher. We’re looking for a Field Marketing Manager to own the strategy and hands-on execution of high-impact experiences that connect developers, engineering leaders, customers, and the broader tech community with PlanetScale. What’s the job to be done? Own the end-to-end events strategy and portfolio for PlanetScale, spanning owned developer experiences, conference presence, sponsored/partnered events, executive dinners, pop-up activations, meetups, field programs, and hybrid/digital formats. Set the creative and experiential bar, bringing a strong point of view on design, storytelling, branding, and details so every touchpoint (booth, merch, venue, food, etc) reflects PlanetScale’s brand and stands out. Drive measurable outcomes in developer acquisition, product adoption, community growth, pipeline, and brand love. Define the metrics that matter and hold the program accountable to them. Build and manage a global events calendar. Evaluate, prioritize, and execute a disciplined portfolio of events. Own and manage the events budget with clear ROI frameworks, financial discipline, and the ability to reallocate based on performance data. Manage vendors, agencies, venues, AV, and creative partners; hold external partners to the same quality standard expected internally. Operate as a highly hands-on individual contributor while setting strategy. This is a lean role where you’ll both define the vision and drive the majority of the execution yourself, while building the foundation to grow the function over time. Innovate on format: bring fresh thinking beyond traditional conference booths (hackathons, build-alongs, intimate technical roundtables, hybrid experiences, unique activations, executive events). These attributes best describe you You have experience running or heavily contributing to events for developer or highly technical audiences, whether from an events, experiential marketing, field marketing, or Developer Relations background. You know what resonates with engineers and builders versus what feels like generic marketing. You have strong taste and creative vision. You can point to events you’re proud of and articulate why specific design, content, experience, and logistical choices mattered. You are both strategic and highly operational. You’re comfortable setting direction and then rolling up your sleeves to make it happen. You thrive in cross-functional, matrixed environments and can influence without pure authority across Sales, DevRel, Marketing, Brand, and leadership. You are comfortable with ambiguity, speed, and high ownership. PlanetScale moves fast. You bias toward action while protecting quality. You enjoy wearing multiple hats and are energized by a high-IC role rather than pure people management. What you will need 3+ years of experience in events, experiential marketing, field marketing, Developer Relations, or developer community roles, with meaningful ownership of strategy and execution. Experience working with developer, engineering, or technical audiences. Demonstrated ability to manage event budgets and deliver measurable results. Experience producing or significantly contributing to a mix of owned events, conference presence, executive/customer dinners, meetups, and field activations. Excellent project management, vendor management, and stakeholder management skills. Willingness and ability to travel frequently (often 30%+ depending on the calendar) to attend, oversee, and host events. Willingness and ability to work evenings and weekends as needed for events. Strong communication skills and the ability to represent PlanetScale with polish and authenticity in high-stakes settings. This job requires you to work from our San Francisco office at least 3 days a week. What else will help you be successful Prior experience in developer tools, infrastructure, or databases. Background in Developer Relations or developer community building. Experience with hybrid or digital-first formats alongside in-person. Existing relationships in the developer conference and events ecosystem. Comfort creating or guiding technical storytelling and working closely with DevRel and Product on content and speakers. Why PlanetScale We’re redefining how high-growth companies manage data at scale, and we work with some of the most exciting brands in gaming, consumer tech, AI, and B2B SaaS. PlanetScale already has one of the strongest technical communities online. Engineers appreciate our technical content and love our product. What we haven't fully built yet is the real-world version of that, and as Field Marketing Manager, that vision is yours to own. PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America. At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know if there’s any way we can make the interview process better for you; we’re happy to accommodate! Total Compensation and Pay Transparency An employee’s total compensation consists of base salary + variable comp where appropriate + benefits + equity. A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process. Base salary range: $160,000 – $210,000 USD

Location: Remote USA; Canada Workplace: remote ABOUT YOU We are looking for an accomplished Principal Machine Learning Engineer to join our global ML organization. In this role, you will drive innovation across our machine learning ecosystem, architect advanced ML solutions, and mentor junior ML engineers around the world. You will play a key part in shaping our technical direction—leading complex ML initiatives, elevating engineering standards, and guiding teams as they build scalable, production‑ready machine learning systems. If you are ambitious, energized by solving challenging technical problems, passionate about developing talent, and excited to influence the future of ML/AI in the video game industry, this could be the perfect role for you. ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Requirements: Modeling Depth Advanced Degree in Statistics, machine learning or related areas. Experience in statistics/ML expertise with a track record of leading high-impact data science initiatives at scale of billions of transactions. Hands-on experience creating, training and fine-tuning models not just integrating hosted model APIs. You should be able to walk through  the data, the objective, what broke, and the before/after evaluation numbers, and why the model did not perform as expected. Experience owning models in production: deployment, monitoring, drift detection, retraining — with real latency budgets, not just research notebooks. Production experience with classical ML for fraud/anomaly detection, recommendation, or churn/LTV (gradient boosting, deep learning, graph-based models). Technology Familiarity Supervised learning, transfer leaning on machine learning as well as neural networks Basic LLM knowledge, especially how to use it and where not to use it. MLOps foundations: feature stores, experiment tracking, model registries (MLflow/W&B-class), continuous training pipelines. Model serving and inference optimization (vLLM-class serving, quantization). Nice-to-Have: Publications, conference talks, or recognized open-source contributions to training/eval tooling . Graph-based fraud detection (fraud rings, device/account linkage).. Gaming, payments,  fraud, advertising  domain experience. Hands-on, up-to-date experience with modern AI tools (e.g., Claude, Copilot, Cursor) for code generation, review, and accelerating day-to-day engineering work. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each US employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Data Scientist position, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

RELOCATION TO SPAIN Location: Hybrid in Barcelona, Spain. Relocation support is provided for the employee and their family. Company Manychat is a leading Chat Marketing platform used by over 1.5 million customers worldwide to automate conversations on Instagram, Messenger, WhatsApp, and TikTok. What you will do — Maintain and harden AWS infrastructure, including EC2, ALB/NLB, WAF, IAM, and CloudWatch. — Operate EKS clusters powering Python-based AI services and migrate existing services using Terraform and Helm. — Codify infrastructure with Terraform and manage host-level automation via Ansible. — Build and optimize CI/CD pipelines using GitHub Actions. — Own observability efforts with Prometheus and Grafana, including alerting and on-call readiness. — Partner with engineers to drive platform reliability and create maintainable infrastructure documentation. Requirements — 5+ years of experience managing Linux (Ubuntu, Amazon Linux) in production. — Strong experience with Kubernetes (ideally EKS), Helm, and Terraform. — Comfort running and debugging Python workloads in containers. — Solid understanding of networking, IAM, and cloud security best practices. — Hands-on experience with Nginx Ingress and reverse proxy setups. — Must be based in or be able to relocate to Barcelona, Spain. Nice to have — Advanced Ansible skills beyond the basics. — PostgreSQL or Amazon RDS tuning and operations experience. — Deep understanding of observability tools like Loki. — Familiarity with PHP production environments. — Experience with TDD, CI/CD best practices, and agile development. Culture & Benefits — Relocation support for you and your family. — Comprehensive health insurance for you and your family. — Professional development budget for courses, certifications, and conferences. — Hybrid work model and flexible benefits package. — In-office perks including free meals and snacks. — Company-funded sports activities, annual offsites, and team-building events.

Location: London, England, United Kingdom From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a talented Senior Sales Engineer to join our Commercial sales team. As a Commercial Sales Engineer, you will work closely with our sales team to understand our Commercial customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and ensuring a successful proof-of value throughout the sales cycle. This is a full-time position based out of our Dublin office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks,  Kubernetes, Docker, Podman, Grafana, Linux, Windows, Python, Java What You’ll Do Work with Commercial customers to understand their business, their use cases, and their data replication requirements Develop and deliver technical presentations to Commercial audiences Ensure the technical win by running an organised proof-of-value process Work closely with multiple cross-functional organisations, driving change and improvements to Fivetran as a whole. Work closely with multiple Sales representatives, while maintaining a high level of customer focus and technical excellence Stay up-to-date on the latest technologies and trends in our industry Assist team members in advanced technical or business roadblocks Skills We’re Looking For 4+ years in data replication, sales engineering, or related technical field Strong technical background covering database replication, cloud infrastructure, and data replication technologies with some form of hands on experience Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders Strong problem-solving and analytical skills Experience with Oracle, SQL Server, Postgres, MySQL, and NoSQL databases Hands on experience with other data replication or ETL tools Experience with self-hosted software applications and supporting infrastructure Hands on networking experience both in the cloud and on-premise Bonus Skills​ Experience developing partner relationships Specialized expertise in security posture Experience with self-hosted and SaaS software applications Hands on experience with DBT #LI-DC1 #LI-HYBRID 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 €77.028 — €96.285 EUR 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: USA - Austin (dbt) 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. Solutions Engineer, Commercial (Austin) About the role As a Solutions Engineer (SE) on our team, you will help prospects understand the value of the combined Fivetran and dbt platform across the full data lifecycle: moving, transforming, and trusting their data. You’ll lead technical discussions with prospective customers, uncover their data challenges, identify their technical requirements, and demonstrate how our products work together through live demos, technical workshops, and structured proofs of value. You’ll be a trusted advisor to a wide range of customers, from fast-growing startups to established enterprise data teams, helping them solve real business problems with our platform and playing a key role in winning deals and driving the business forward. Internally, you’ll partner closely with Account Executives, contribute to building and refining our processes and playbooks as the two teams integrate, and act as the voice of the customer to ensure we continue developing products that solve real problems and delight our users. Location: Austin, TX (hybrid). This is a full-time position, and candidates must be located in Austin and able to work in the office two days a week (Tuesday and Thursday). What you'll do Spend the majority of your time on pre-sales opportunities, working with customers to understand their business, use cases, and requirements for data movement, transformation, and governance Consult with prospects to uncover their data challenges and show how Fivetran and dbt together can alleviate pain points and support their goals, from ingestion through modeling to analytics and AI Lead structured, curiosity-driven discovery that qualifies opportunities early and maps technical requirements to business outcomes, success criteria, and the customer’s decision process Own the demonstration of technical and business impact by delivering tailored demos and technical presentations of the platform to both technical and business audiences Articulate business value, not just features: work with your Account Executive to build the business case (e.g. time-to-value, cost savings, ROI) and tell a clear, data-backed story to technical and executive stakeholders Ensure the technical win by running an organized proof-of-value process, from defining success criteria through final readout Design and architect scalable, reliable data solutions, and guide customers through architectural questions, including source systems, cloud and on-premises networking, self-hosted and SaaS deployment options, and security requirements Collaborate closely with Account Executives by building strong, trust-based relationships and offering strategic input throughout the deal process, including account planning, opportunity prioritization/qualification, and pipeline generation strategy Proactively generate demand in your territory through technical initiatives such as workshops, webinars, industry events, and account-based marketing activities Maintain ongoing relationships with technical stakeholders within your accounts, build champions, and identify opportunities where customers can benefit from both products Partner with Product, Engineering, and other internal teams to represent the voice of the customer, relay field feedback, and drive improvements across the combined company Contribute to our knowledge-sharing loop by helping improve team processes, refining assets and playbooks, and enabling and mentoring teammates through collaboration Create and deliver external-facing content through live events, blog posts, recorded tutorials, or other educational resources Use AI tools to work smarter across research, discovery preparation, demo building, and follow-up, and help customers shape practical AI use cases on trusted, well-modeled data Stay up to date on the latest technologies and trends in the data industry through ongoing training and certification, and help teammates work through advanced technical or business roadblocks What you bring 2+ years of related industry experience (ideally 5–8) in data replication, sales engineering, analytics engineering, data consulting, or a related technical field, including at least 2 years in a customer-facing role Strong technical foundation in modern data architectures, including cloud data warehouses, the modern data stack, and proficiency in SQL Hands-on experience with other data replication or traditional ETL tools Experience with transformation tooling, data catalogs, and BI tools Working knowledge of cloud infrastructure and networking, both in the cloud and on-premises Demonstrated ability to work with customers to review complex existing architectures and provide guidance on how to improve them by leveraging technology Ability to work with a cross-functional sales team to formulate and execute an end-to-end deal cycle Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to both technical and business leadership Business acumen and value storytelling: you connect technical capabilities to business outcomes and can talk about how a customer’s processes improve, not only how the product works Genuine curiosity and empathy in customer conversations: active listening, asking the next question, and understanding what success looks like for the buyer Strong problem-solving and analytical skills, and the ability to operate effectively in ambiguous, fast-paced environments, adapt quickly, and think on your feet during customer conversations Experience working asynchronously as part of a partially remote, distributed team A strong team-player mindset, both within the SE team as we evolve our ways of working and in daily collaboration with Account Executives as part of a deal team Openness to travel (up to 25%); we value in-person relationship building, both internally and externally, and expect willingness to travel to events as needed A Bachelor’s degree or equivalent work experience What Will Make You Stand Out Hands-on experience with dbt; dbt certification is a bonus Basic Python competency and advanced SQL knowledge Proven experience in a pre-sales technical role Hands-on experience with database replication and data movement, including sources such as Oracle, SQL Server, Postgres, MySQL, and NoSQL databases Hands-on experience on Snowflake, Databricks, Google BigQuery and/or other cloud data platforms) Experience with self-hosted and SaaS software applications and their supporting infrastructure Specialized expertise in security posture Experience developing partner relationships Understanding of popular sales methodologies/frameworks such as MEDDPICC or Command of the Message Experience in data engineering or AI/ML projects A cloud provider certification (AWS, Azure, GCP) or a data platform certification (e.g. Snowflake, Databricks) Practical, everyday use of AI tools in your pre-sales workflow Hiring Process Interview with Talent Acquisition Partner Interview with Hiring Manager Technical Interview Team Interview Final Panel Interview OTE (On Target Earning) $160,000 — $190,000 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: New York, New York; New York City Metropolitan Area; New Jersey; Connecticut; San Francisco Bay Area, California Workplace: remote About the role: At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA. Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name What You’ll Do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice What We Look For: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses) Nice to have: Containers and orchestration (Kubernetes/ECS) and CI/CD in production IaC depth: AWS CDK, CloudFormation, Terraform Open-source contributions or public writing on applied AI What We Offer: Full-time employment On-site visits to clients’ facilities and our office in NYC 1/week Unlimited Vacation policy Generous health, vision, and dental insurance 401(K) matching plan Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data No Visa sponsorship How We Hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. 4. Soft skills interview. 5. Offer discussion. We’re real: A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO