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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 trains and serves frontier AI models on some of the largest accelerator fleets in the world, and we're now building the custom hardware systems that fleet will run on — from the package boundary out through boards, racks, interconnect, power, cooling, and the datacenter interface. We're looking for a Technical Program Manager to own execution of these hardware systems from concept through production deployment. You'll drive the program that turns architecture and specs into boards and racks that ship — managing ODMs, CMs, and component vendors on one side, and coordinating silicon, firmware, infrastructure software, supply chain, and datacenter teams on the other. This is a role on a new hardware team. You'll build the program cadence, review structure, and NPI process this team runs on. We need someone who has shipped hardware at scale, has a realistic view of ODM/CM schedules and where they break, and is comfortable owning consequential program calls without a large organization behind them. Key responsibilities Own the integrated hardware systems program plan across board, chassis, rack, and interconnect — from requirements through EVT/DVT/PVT, qualification, and production ramp — and be the source of truth on schedule, risk, and readiness. Drive execution with ODMs, contract manufacturers, and component/optics vendors: SOWs, build schedules, deliverable tracking, factory readiness, and escalation when they slip. Stand up and run the NPI cadence — build matrix, engineering reviews, DFx, issue triage, exit criteria — and keep it lightweight enough that a small, senior team actually uses it. Drive the bring-up and validation program for new platforms: lab and pilot-rack logistics, firmware/BMC/diagnostics coordination, test coverage, and the reliability and telemetry targets a platform has to hit before it enters the fleet. Own the interfaces that make or break a hardware program: silicon (samples, package, power/thermal envelopes), datacenter (power, cooling, rack integration, deployment windows), infrastructure software (management plane, provisioning, telemetry), and supply chain (long-lead components, second-sourcing, allocation). Run partner and technology evaluations as a program — candidate ODMs, reference platforms, connector/optics/memory options — and land build / buy / co-design recommendations with the architecture team. Own program communication upward and outward — for an audience that ranges from architects to executives. Develop and share AI-assisted approaches to hardware program management — issue-tracker synthesis, build-readiness checking, spec/BOM consistency, ODM-report digestion. Minimum qualifications 8+ years in hardware systems / NPI program management for compute, networking, storage, or accelerator platforms. Direct ownership of at least one platform from concept through volume production — you can walk through its EVT/DVT/PVT arc, what broke, and how you recovered. Working technical fluency across the hardware stack — power delivery, thermal, mechanical, high-speed interconnect, board design, system management — sufficient to interrogate status and push back credibly on architects and vendors. Experience managing ODMs/CMs and component vendors, including SOW negotiation, build tracking, quality escapes, and escalation. Track record of standing up program mechanisms on a new or early-stage hardware effort, not just operating inside a mature PLC. Strong written communication — plans, reviews, and exec updates that many teams depend on. Comfort operating with high autonomy and limited process in a fast-moving, ambiguous environment. Preferred qualifications Experience with AI/ML accelerator systems (GPU, TPU, custom ASIC), HPC, or hyperscale datacenter platforms and their scale-up / scale-out fabrics. Experience taking a first-generation, custom-silicon-based system from bring-up through fleet deployment. Experience with liquid-cooled and/or high-density rack architectures, rack level high power distribution, or optical interconnect programs. Familiarity with the chip-package-system interface and coordinating tightly with a silicon team. Experience with datacenter integration, deployment, and fleet-scale reliability/RAS programs. Practical experience using AI tools in your own workflow, and clear ideas about where they help and where they don't. BS/MS in EE, CE, ME, or a related field, or equivalent experience. 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: $365,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 Our Reinforcement Learning teams are central to advancing our AI systems, contributing to every Claude model and driving the autonomy and coding gains in our latest releases. The work spans computer use, code generation through RL, fundamental RL research for large language models, scalable infrastructure and training methodologies, and model reasoning. Research TPM team supports the full model development lifecycle, from pre-training through post-training, operating at the frontier of AI development. About the Role As a Technical Program Manager on the reinforcement learning team, you will own the systems and programs that determine how fast our research moves: a trustworthy read on the state of RL research, the review and prioritization processes that turn that read into critical decision for production RL runs. Strong candidates should have an ML engineering or research background and have grown into program leadership. You'll need real technical depth: the ability to debug data pipelines, read RL transcripts to spot issues, and make allocation and quality decisions in real time when research or production runs hit problems. You'll need organizational effectiveness in equal measure: the ability to navigate a fast-growing organization, quickly identify the critical people and teams across research, infrastructure, product, and data operations, and coordinate across them without losing velocity. Join us in our mission to build AI systems that are safe, reliable, and beneficial to humanity. Responsibilities Deliver a regular read on the ground truth in RL research, covering performance against baselines, experiment results, day-to-day health, and incidents Work with RL org leads on prioritizing, ranking, and tracking the state of experiments Drive research reviews end to end in partnership with set the agenda, make sure the right context is in the room ahead of time, and close the loop on what gets decided Establish processes and frameworks that bring structure to an unstructured research setting without slowing researchers down Collaborate with research leads, infrastructure engineers, and data operations to identify blockers, prioritize competing needs, and make technical trade-off decisions You May Be a Good Fit If You Have a background in ML engineering or ML research before transitioning to technical program management Have deep, hands-on experience with ML training pipelines, RLHF systems, and large-scale data infrastructure in production Have a track record of building execution plans and inventing high-leverage processes that reduce operational overhead and let researchers focus on research Are a fast learner who builds deep contextual understanding in unfamiliar technical domains and can contribute meaningfully to discussions with researchers Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in a fast-moving research setting Have excellent stakeholder management and communication skills, with the ability to influence senior technical staff through clarity, competence, and consistent delivery Are excited about pushing the frontier of what RL can do at scale 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: $365,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Cincinnati, Ohio, United States ClinChoice is a global full-service CRO dedicated to professional development and providing an excellent work-life balance, with a quality-focused, collaborative “one-team” culture. We are looking for a dynamic person to join our in-house team as a Senior Associate, Regulatory Affairs (ONSITE) on a permanent basis at Cincinnati, OH . Join our team: you can be part of making a difference in peoples’ lives and experience a fulfilling and rewarding career! J ob Title: Senior Associate, Regulatory Affairs Employment Type: Full Time Location: Hybrid (Cincinnati, Ohio) - Location Address: 4545 Creek Rd Blue Ash, OH 45242 Responsible for managing, planning, preparation, and delivery of documents both electronic- and paper-based in support of assigned. global regulatory product registrations, renewals, tenders/customs, etc. Coordinate the preparation and submission of medical device applications by providing regulatory information and documents and following up closely on queries from inspection through approval. Prepare and/or review letters of authorization, cover letters for registration certificates, declarations, power of attorney, and other regulatory documentation to ensure accuracy, appropriateness, and consistency of documents intended for various global regulatory submissions. Submit and manage applications for the US FDA Certificates to Foreign Government (CFGs). Maintain various tracking tools to ensure up-to-date information and traceability of all regulatory data/documentation. Perform and/or coordinate legalization, notarization, and apostille of regulatory documents Ensure compliance with current good documentation practices, including but not limited to proofreading, formatting, indexing and recordkeeping. Assist all regions in answering inquiries and providing required documents and information utilizing various search tools and systems. Perform document filing and retrieval functions as directed and per company’s policies and procedures. Effectively communicate with internal and external teams and/or clients as to the status of deliverables, to ensure timely and satisfactory completion of tasks and expectations. Communicate with the project teams on a regular basis regarding regulatory updates. Provide support to internal and external teams to address various technical inquiries and provide requested data/information Participate in group meetings and provide tactical approaches to addressing issues of basic complexity Perform other tasks as assigned. Experience/Skills Bachelor’s degree (Life Sciences or a regulatory related field preferred) Minimum of 1 year of hands-on experience in medical device regulatory affairs, or at least 3 years of combined regulatory affairs and related experience. Basic knowledge of US FDA QSR, ISO 13485, EU MDD/MDR. Knowledge of global medical devices registration process is a plus Proficient in Microsoft Office (e.g., Word, Excel, PowerPoint) Have a good understanding of current Good Documentation Practices in a regulatory environment. Self-starter with the ability to work in a team environment and on projects of diverse scope where analysis of a situation or data requires evaluation of various factors with minimal supervision. Excellent organizational skills with strong attention to detail, effective planning, and the ability to multitask efficiently Must possess excellent written and verbal communication skills. The Application Process Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step.  Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-PB1 #Hybrid

Location: Remote, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We're hiring an Engineering Manager to lead the Semantic Layer team in Bengaluru. You'll own the health, delivery, and growth of the team behind MetricFlow — building and coaching a group of engineers, setting technical direction in partnership with your leads, and ensuring one of the most important projects in the modern data stack keeps shipping with quality and momentum. This is a hands-on leadership role. You'll spend most of your time growing people, running a healthy delivery process, and shaping strategy — but you'll stay close enough to the code and the architecture to make sound technical calls and earn the trust of a senior engineering team. You'll also be the steward of a public, community-facing open-source project, balancing the needs of internal roadmap and external contributors. About the team The Semantic Layer team owns the systems that turn dbt models into trusted, reusable business metrics. At the heart of this is MetricFlow — the open-source semantic engine that powers the dbt Semantic Layer. MetricFlow lets data teams define metrics once in code and consume them consistently across BI tools, notebooks, AI agents, and downstream applications. This team is the steward of MetricFlow as an open-source project: shipping releases, reviewing community contributions, evolving the query compiler, and ensuring it integrates cleanly with the broader dbt ecosystem. The team works at the intersection of language design, query compilation, and distributed data execution — solving problems that directly shape how thousands of organizations measure their business. What you'll do Lead, coach, and grow a team of software engineers building MetricFlow — hiring, onboarding, career development, performance management, and day-to-day support. Own delivery for the Semantic Layer team: planning, prioritization, execution, and predictable shipping of high-quality software. Partner with your senior and staff engineers to set technical direction across metric definitions, query compilation, dimensional modeling, and SQL generation for multiple data warehouses (Snowflake, BigQuery, Databricks, Redshift, and others). Steward MetricFlow as an open-source project — set the bar for how the team triages issues, reviews external pull requests, manages releases, and engages the community on GitHub and in Slack. Collaborate with engineering leaders across the dbt platform, dbt Core, and the Semantic Layer service to ensure MetricFlow integrates seamlessly with the rest of the dbt ecosystem. Partner with product, design, and developer-relations counterparts to translate customer and community feedback into a clear, well-sequenced roadmap. Drive engineering excellence in performance, reliability, and observability of metric query execution at scale. Foster a culture of design docs, thoughtful code review, and durable engineering — shipping fast without shipping sloppy. Skills we're looking for Experience managing software engineering teams, including hiring, coaching, and performance management, with a track record of shipping production systems. A strong engineering foundation — you've built and shipped production software yourself and can engage credibly on architecture and technical tradeoffs with a senior team. Familiarity with the technical domain: SQL fundamentals, how analytical query engines and data warehouses execute queries, and systems that involve parsing, compilation, or transformation (query planners, DSL compilers, type systems, or rule-based engines). Solid grasp of software design principles: clean APIs, modularity, testability, and backwards compatibility — and the judgment to hold a team to them. Excellent written and verbal communication — you can explain complex tradeoffs clearly to engineers, product managers, and external community members. Experience leading in a distributed, asynchronous team environment. Nice to have Experience leading or contributing to a popular open-source project, including managing a community of external contributors. Familiarity with dbt, MetricFlow, LookML, Cube, or other semantic-layer technologies. Background in data warehousing internals, query optimization, or analytical SQL dialects. Experience with CI/CD, GitHub Actions, and release engineering for Python libraries. Exposure to building developer-facing APIs, SDKs, or CLIs. Why join us Impact at scale: Your team's code will run inside the data platforms of tens of thousands of companies, including some of the world's largest enterprises. Open-source ownership: You'll lead the team behind a foundational open-source project — visible, reviewed, and used by the global data community. A team that values craft: We invest in design docs, code review, and durable engineering. We ship fast, but we don't ship sloppy. Competitive compensation: Market-leading salary, equity, comprehensive health insurance, generous time off, learning and wellness stipends, and home-office support. #LI-REMOTE #LI-SA1 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: Bangalore, India 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 Our mission is to empower data practitioners to create and disseminate organizational knowledge. dbt Core is the open-source engine at the heart of this mission, used by tens of thousands of analysts and engineers to transform data with the rigor of software engineering. We are looking for a systems-oriented engineer to join the small, expert team that builds and maintains this foundational piece of the modern data stack. This is an opportunity to work on deeply technical, high-leverage problems where your contributions will improve the daily workflow of a massive and passionate open-source community. About The Team The dbt Core team are the stewards of the open-source engine that powers the modern data stack for tens of thousands of practitioners. This small, high-trust group of systems engineers tackles the most fundamental challenges in dbt: ensuring the performance, reliability, and architectural integrity of dbt itself. They not only own the core execution engine but also architect the crucial adapter framework that connects dbt to a growing ecosystem of databases and data platforms. As a Staff Software Engineer on the Core & Adapters team, you will be a steward of the performance, reliability, and architectural integrity of dbt. You will tackle ambiguous, open-ended problems and take ownership of critical systems. What You’ll Do Dive deep into the dbt-core execution engine, using your systems expertise to identify, debug, and eliminate performance bottlenecks in our Python codebase. Architect and implement improvements to our adapter interface, the crucial layer that connects dbt to a growing ecosystem of databases and data platforms, enabling the community to build more powerful and efficient integrations. Debug complex, system-level issues that span from Linux process management and concurrency models to database query planning and network protocols. Lead technical design discussions and contribute to the long-term architectural roadmap for dbt Core, making key decisions about what, how, and when we build to ensure its scalability and reliability for years to come. Mentor other engineers and review contributions from our vibrant open-source community, upholding our high standards for code quality, testing, and design while fostering a collaborative and inclusive environment. Take strong ownership of our distributed systems, troubleshoot complex production issues, and participate in an on-call rotation to maintain high availability and deliver a resilient platform experience. Skills We’re Looking For We are looking for an engineer with a strong performance and debugging mindset, excellent mental models for complex systems, and a deep curiosity for infrastructure and open-source software. Required Qualifications: 6+ years of professional software development experience, with a focus on building and operating backend systems in a production environment. Deep backend engineering experience and proficiency in Python. A systematic, first-principles approach to problem-solving, with comfort navigating and debugging in Linux environments (e.g., understanding process scheduling, memory management, file systems). Solid grasp of database internals, such as query execution engines, storage layers, indexing strategies, and transaction management. Excellent communication skills and a sense of ownership, with the ability to balance technical depth with fast, iterative delivery. Preferred Qualifications: A background in data warehousing, data engineering, or analytics engineering. Professional experience writing production code in Go or Rust. Experience contributing to or maintaining a popular open-source project. Experience building compilers, interpreters, or developer tooling. Familiarity with performance analysis tools like perf or strace . The Team & Our Culture You will join a small, high-trust team of senior and staff-level engineers who are passionate about building robust, well-crafted, and reliable software. We operate in a remote-first, asynchronous-friendly environment that values deep work, clear written communication, and a high degree of autonomy. We are deeply connected to our users and the open-source community, and we believe that the best solutions come from a rigorous, collaborative, and empathetic engineering process. #LI-REMOTE #LI-SA1 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: Dublin, Ireland WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion is rebuilding its go-to-market motion around a workflow-first, builder-led model—and the BDR is at the front of it. As a Business Development Rep, you'll be the force that turns the right accounts into the right conversations. You'll partner closely with Solutions Consultants to identify and target companies that are ready to rethink how they work—and your job is to get them in the room. This isn't generic pipeline work: you're qualifying for workflow-first, build-ready opportunities that set SCs up to win. If you're competitive, curious, and energized by outbound that actually means something, this is the role for you. This role is based in Dublin, Ireland. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Generate qualified, workflow-first pipeline by identifying and targeting high-potential accounts in your assigned book, partnering with your sellers on account and outbound strategy - Run multi-channel outbound campaigns—email, phone, LinkedIn, and events—to create urgency and secure first meetings with the right decision-makers - Conduct initial qualification to ensure meetings handed to sellers are "ready to build," not just "ready to talk"—validating ICP, intent, and workflow fit before the handoff - Document and deliver clean handoff packets in Salesforce with ICP signals, pain points, workflow hypothesis, and stakeholder context so sellers can hit the ground running - Leverage GTM System tooling and intent data to sharpen targeting, prioritize accounts by signal strength, and increase the quality and consistency of your outbound motion SKILLS YOU'LL NEED TO BRING: - Proven track record in outbound pipeline generation, with hands-on experience in cold prospecting across phone, email, and social channels - Strong written and verbal communication skills with the ability to craft compelling, persona-specific outreach that earns a response - Sharp qualification instincts—able to quickly assess ICP fit, identify urgency, and set solutions consultants up for high-quality first conversations - Passion for AI/ML and understanding of API-first or consumption-based business models - High-activity mindset with the discipline to prioritize based on signal and data, not just volume - You don't need to be an AI expert, but you're curious and willing to adopt AI tools to work smarter and deliver better results. NICE TO HAVES: - Experience with Salesforce, Outreach, or similar GTM tooling - Familiarity with Notion as a product or prior experience selling productivity, collaboration, or workflow software - Background in a high-velocity, metric-driven outbound environment with clear pipeline targets - Fluency in Swedish or Norwegian Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €70,000 OTE per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Dublin, Ireland WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion is rebuilding its go-to-market motion around a workflow-first, builder-led model—and the BDR is at the front of it. As a Business Development Rep, you'll be the force that turns the right accounts into the right conversations. You'll partner closely with Solutions Consultants to identify and target companies that are ready to rethink how they work—and your job is to get them in the room. This isn't generic pipeline work: you're qualifying for workflow-first, build-ready opportunities that set SCs up to win. If you're competitive, curious, and energized by outbound that actually means something, this is the role for you. This role is based in Dublin. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Generate qualified, workflow-first pipeline by identifying and targeting high-potential accounts in your assigned book, partnering with your sellers on account and outbound strategy - Run multi-channel outbound campaigns—email, phone, LinkedIn, and events—to create urgency and secure first meetings with the right decision-makers - Conduct initial qualification to ensure meetings handed to sellers are "ready to build," not just "ready to talk"—validating ICP, intent, and workflow fit before the handoff - Document and deliver clean handoff packets in Salesforce with ICP signals, pain points, workflow hypothesis, and stakeholder context so sellers can hit the ground running - Leverage GTM System tooling and intent data to sharpen targeting, prioritize accounts by signal strength, and increase the quality and consistency of your outbound motion SKILLS YOU'LL NEED TO BRING: - Proven track record in outbound pipeline generation, with hands-on experience in cold prospecting across phone, email, and social channels - Strong written and verbal communication skills with the ability to craft compelling, persona-specific outreach that earns a response - Sharp qualification instincts—able to quickly assess ICP fit, identify urgency, and set solutions condsultants up for high-quality first conversations - Passion for AI/ML and understanding of API-first or consumption-based business models - High-activity mindset with the discipline to prioritize based on signal and data, not just volume - You don't need to be an AI expert, but you're curious and willing to adopt AI tools to work smarter and deliver better results. NICE TO HAVES: - Experience with Salesforce, Outreach, or similar GTM tooling - Familiarity with Notion as a product or prior experience selling productivity, collaboration, or workflow software - Background in a high-velocity, metric-driven outbound environment with clear pipeline targets Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €70,000 OTE per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Canada Are you a health professional considering a career change? Are you motivated by performance, accountability, and the challenge of building something within a defined territory? If you have an allied health background — Physical Therapy, Athletic Training, Strength & Conditioning, or similar — and are hungry to learn the craft of consultative field sales, this Business Development Manager (BDM) role at VALD may be the next step in your career. About VALD VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 10,000 clients in over 150 countries. If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies. Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 30 countries, with 5 offices across four continents. Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation. About the VALD Business Development Manager Role This is a FIELD SALES role with defined territory ownership. While this position is considered “remote” in that VALD does not operate a local office in every territory, this is not an inside sales or work-from-anywhere role. Business Development Managers are expected to spend time in the field meeting clients, performing product demonstrations, and developing relationships across their assigned territory. Location & Residency Requirements Applicants must live within 90 minutes of the posted metropolitan area associated with this role and able to travel around 3–4-hour radius of where they live. Candidates who do not currently live within the territory must be willing to relocate within 30 days of offer/start date. Applications from candidates planning to relocate will be considered; however, priority is given to qualified candidates already residing within the territory or those who have a history/network within the assigned territory No relocation reimbursement is offered . About the VALD Business Development Team The Business Development team are on the front line for VALD. As part of a truly global team, you will attend conferences and perform product demonstrations (both in-person and teleconferences) in clinical, performance, and tactical settings. You'll set up and oversee product trials, nurture new leads and look for new opportunities for VALD. With an education-based approach to sales, as a Business Development Manager, you must have an intimate knowledge of VALD's systems. You'll leverage your industry expertise and product knowledge to demonstrate how our clients can get the most out of our systems to provide value to their business. Is this you? Travel & Field Expectations Approximately 50% travel, primarily regional. Frequent day travel by car, with occasional overnight stays depending on territory. Limited air travel may be required based on geography (all work-related travel is reimbursed) Standard working hours are expected, with occasional evenings or weekends required for conferences, events, or lead follow-up. Reliable personal vehicle required (all work-related mileage is reimbursed). Ability to transport and demonstrate VALD equipment; carrying demo equipment up to ~75 lbs is required. Vehicle suitability (to fit VALD systems) can be discussed during interviews. Qualifications & Experience Background in allied health or performance (PT, ATC, S&C, Exercise Science, or similar) New graduates welcome; preferred candidates have 2+ years of field experience Strong communication skills across in-person, virtual, and written formats Comfort with cold prospecting (drop-ins, calls, emails) Confidence engaging with professionals at all levels (students to executives) Experience using CRM platforms (HubSpot preferred) and Microsoft 365 tools Prior field sales experience is considered only if aligned with clinical background and having sold within subscription-based sales models Who Succeeds in This Role The strongest BDMs at VALD share two defining traits: Lifelong learners — curious, coachable, and driven to improve their craft. GRIT — able to handle rejection, fail forward, accept feedback without ego, and stay focused on long-term success. This role is well suited for: Health professionals seeking a career change into sales Early-career BDMs Mid-career sales professionals with relevant clinical and industry background Key Responsibilities Own and manage a defined sales territory across performance and health verticals Self-generate a sales pipeline through outbound prospecting and marketing driven inbound opportunities Conduct in-person and virtual product demonstrations & oversee client trials Work full-cycle sales opportunities in partnership with Contracts and Client Success Achieve monthly and quarterly quota targets based on quantity of systems sold Accurately manage pipeline activity using CRM tools (HubSpot experience is a plus) Represent VALD professionally at conferences, events, and industry meetings Compensation & Benefits Commission and on-target bonus structure Home office setup or co-working allowance offered Full VALD equipment demo kit, iPad, and a work computer Monthly expense reimbursement Monthly fitness and wellness allowance Medical, vision, dental insurance, and 401(k) It’s not expected that any single candidate would check every box here. If you meet just some of the requirements, but not all, we encourage you to submit your application! We strongly encourage you to apply if you’re at all interested. Show us how your experience could improve our team and widen our perspective. Our selection process includes assessing the requirements of the role vs the individual, and how well we think they will work in the VALD team. Why VALD? At VALD, you’ll join a global team redefining how performance and healthcare professionals measure and improve human movement. We offer opportunities to learn from high-performing teams, collaborate across disciplines, and grow within a company that values curiosity, accountability, and impact. Semi-annual global team gatherings provide opportunities for professional development and connection, while our culture prioritizes inclusion, diversity, and long-term growth. VALD Diversity & Inclusion Commitment VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds. Conditions of Employment Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results.

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. 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. 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. 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: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a Senior Staff Systems Engineer, GTM, to help us evolve our Salesforce CRM to the next level to meet the needs of our rapidly scaling global business. You are a highly skilled Salesforce technology professional capable of working across all levels of the organization. You are adept at crafting, implementing, and evolving out-of-the-box and custom solutions that employ best practices for systems integration (API and IPaaS Solutions) across the SFDC ecosystem. You will work closely with our current Revenue Excellence team and our cross-functional stakeholders in Marketing, Finance, Sales, Analytics, Product, Customer Success, and Engineering to ensure we leverage Salesforce as the organization's source of truth. You’ll also be responsible for ensuring the technical excellence of your team and owned services, through design reviews, code reviews, and our approval process; contributing to architectural designs; and mentoring colleagues. This is a high-visibility role within the organization with an incredible opportunity to drive impact and value quickly. This is a full-time, hybrid position based in our Oakland, CA, or Denver, CO offices or remotely in the US. Technologies You’ll Use Salesforce CRM, CPQ, Apex, JavaScript, Lightning Web Components (LWC), SOQL, Salesforce APIs, Python, HTML, Git, consuming and invoking web services utilizing WCF, REST, XML, JSON. What You’ll Do Project Lead: Define and drive the critical projects and technical strategy for Salesforce CRM and related systems, ensuring alignment with overall business objectives. Lead the design and implementation of scalable and secure solutions that integrate seamlessly with other enterprise systems. Strategic Initiatives: Spearhead key strategic initiatives, such as process automation and data integration efforts, to enhance operational efficiency and business agility. Cross-Functional Collaboration: Work closely with key stakeholders and executives across the organization to identify and prioritize key projects, providing technical expertise and strategic insights. Team Leadership and Development: Mentor and develop a team of engineers, fostering a culture of innovation and continuous improvement. Lead by example, promoting best coding, design, and system architecture practices. Complex Problem Solving: Address high-impact, complex technical challenges, ensuring the reliability, performance, and scalability of Salesforce and its integrations. Governance and Compliance: Establish and enforce governance frameworks, ensuring compliance with industry standards, data privacy regulations, and internal policies. Thought Leadership: Contribute to the broader tech community by sharing best practices, participating in industry events, and publishing insights on Salesforce technology. Ownership and Accountability: Own the Salesforce ecosystem fully, driving enhancements and optimizations to meet evolving business needs. Act as the primary point of contact for high-stakes projects and critical system issues. Skills We’re Looking For Extensive Salesforce Expertise: 5+ years of experience in Salesforce development and architecture, including deep knowledge of Apex, Visualforce, Lightning Web Components (LWC), SOQL, and Salesforce APIs. Demonstrated ability to design and implement complex, scalable solutions within the Salesforce ecosystem. 2nd Generation Managed Package experience is a plus. Business Acumen and Cost Management: Strong understanding of business processes, particularly billing, revenue recognition, and order management. Ability to evaluate and compare alternative solutions based on cloud costs and performance implications, ensuring efficient and cost-effective technology investments. Skilled in communicating complex technical concepts to non-technical stakeholders and aligning technical initiatives with business objectives. Strategic Vision and Execution: Experience in setting and executing strategic technical visions, particularly in the context of complex Salesforce implementations and integrations. Ability to align technology initiatives with business goals and drive transformative projects. Leadership and Mentorship: Proven track record in leading and mentoring technical teams, with experience in upleveling engineers and fostering a culture of innovation, continuous learning, and technical excellence. Demonstrated ability to manage and lead geographically dispersed teams, effectively handling projects across time zones and cultural contexts. Skilled in ensuring effective communication and collaboration in a global team environment. Enterprise-Level Systems Integration: Expertise in integrating Salesforce with other enterprise systems, utilizing APIs, middleware, and IPaaS solutions. Experience with event-driven architectures and managing data flows across multiple platforms. Governance and Compliance: Demonstrated experience in establishing governance frameworks, ensuring compliance with industry standards, regulatory requirements (such as GDPR), data retention, and internal policies related to data security and privacy. Complex Problem Solving: Proven ability to tackle complex technical challenges, particularly related to performance optimization, scalability, and system resilience. Experience in designing solutions that address high-volume data processing and integration challenges. Advanced Certifications: Salesforce Developer I & II certifications are required; Salesforce System Architect and/or Salesforce CPQ Specialist Certification is highly preferred. Additional certifications, such as Salesforce Technical Architect or Application Architect, are a plus. Agile and DevOps Expertise: Agile and DevOps Expertise: In-depth understanding of Agile methodologies, with experience leading Agile teams. Proficiency in Salesforce DevOps practices, including CI/CD pipelines, version control (Git), and automated testing frameworks. Hands-on experience using AI coding assistants and LLM-based tools to accelerate development, testing, and documentation workflows. Autonomy and Adaptability : Comfortable operating independently with minimal oversight and adjusting quickly to shifting priorities, ambiguous requirements, and evolving project scope in a fast-moving environment. Communication and Presentation Skills: Exceptional written and verbal communication skills, with the ability to effectively present complex technical information to senior leadership and external stakeholders. Experience in technical writing and documentation. Quality and Standards Oversight: Experience establishing and enforcing coding standards, best practices, and quality assurance processes. Focus on writing meaningful and comprehensive tests, including unit tests, integration tests, and end-to-end tests, to ensure the robustness and reliability of software. Responsible for conducting thorough code reviews and maintaining high-quality standards across all deliverables. Ability to collaborate in a highly geographically dispersed team environment. Optional Bonus Skills Salesforce System Architect Certification Proven experience developing programmatic components to extend Salesforce Enterprise Territory Management functionality. #LI-DC2 #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. Denver Pay Range $191,761.50 — $239,701.75 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: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a Senior Staff Systems Engineer, GTM, to help us evolve our Salesforce CRM to the next level to meet the needs of our rapidly scaling global business. You are a highly skilled Salesforce technology professional capable of working across all levels of the organization. You are adept at crafting, implementing, and evolving out-of-the-box and custom solutions that employ best practices for systems integration (API and IPaaS Solutions) across the SFDC ecosystem. You will work closely with our current Revenue Excellence team and our cross-functional stakeholders in Marketing, Finance, Sales, Analytics, Product, Customer Success, and Engineering to ensure we leverage Salesforce as the organization's source of truth. You’ll also be responsible for ensuring the technical excellence of your team and owned services, through design reviews, code reviews, and our approval process; contributing to architectural designs; and mentoring colleagues. This is a high-visibility role within the organization with an incredible opportunity to drive impact and value quickly. This is a full-time, hybrid position based in our Oakland, CA, or Denver, CO offices or remotely in the US. Technologies You’ll Use Salesforce CRM, CPQ, Apex, JavaScript, Lightning Web Components (LWC), SOQL, Salesforce APIs, Python, HTML, Git, consuming and invoking web services utilizing WCF, REST, XML, JSON. What You’ll Do Project Lead: Define and drive the critical projects and technical strategy for Salesforce CRM and related systems, ensuring alignment with overall business objectives. Lead the design and implementation of scalable and secure solutions that integrate seamlessly with other enterprise systems. Strategic Initiatives: Spearhead key strategic initiatives, such as process automation and data integration efforts, to enhance operational efficiency and business agility. Cross-Functional Collaboration: Work closely with key stakeholders and executives across the organization to identify and prioritize key projects, providing technical expertise and strategic insights. Team Leadership and Development: Mentor and develop a team of engineers, fostering a culture of innovation and continuous improvement. Lead by example, promoting best coding, design, and system architecture practices. Complex Problem Solving: Address high-impact, complex technical challenges, ensuring the reliability, performance, and scalability of Salesforce and its integrations. Governance and Compliance: Establish and enforce governance frameworks, ensuring compliance with industry standards, data privacy regulations, and internal policies. Thought Leadership: Contribute to the broader tech community by sharing best practices, participating in industry events, and publishing insights on Salesforce technology. Ownership and Accountability: Own the Salesforce ecosystem fully, driving enhancements and optimizations to meet evolving business needs. Act as the primary point of contact for high-stakes projects and critical system issues. Skills We’re Looking For Extensive Salesforce Expertise: 5+ years of experience in Salesforce development and architecture, including deep knowledge of Apex, Visualforce, Lightning Web Components (LWC), SOQL, and Salesforce APIs. Demonstrated ability to design and implement complex, scalable solutions within the Salesforce ecosystem. 2nd Generation Managed Package experience is a plus. Business Acumen and Cost Management: Strong understanding of business processes, particularly billing, revenue recognition, and order management. Ability to evaluate and compare alternative solutions based on cloud costs and performance implications, ensuring efficient and cost-effective technology investments. Skilled in communicating complex technical concepts to non-technical stakeholders and aligning technical initiatives with business objectives. Strategic Vision and Execution: Experience in setting and executing strategic technical visions, particularly in the context of complex Salesforce implementations and integrations. Ability to align technology initiatives with business goals and drive transformative projects. Leadership and Mentorship: Proven track record in leading and mentoring technical teams, with experience in upleveling engineers and fostering a culture of innovation, continuous learning, and technical excellence. Demonstrated ability to manage and lead geographically dispersed teams, effectively handling projects across time zones and cultural contexts. Skilled in ensuring effective communication and collaboration in a global team environment. Enterprise-Level Systems Integration: Expertise in integrating Salesforce with other enterprise systems, utilizing APIs, middleware, and IPaaS solutions. Experience with event-driven architectures and managing data flows across multiple platforms. Governance and Compliance: Demonstrated experience in establishing governance frameworks, ensuring compliance with industry standards, regulatory requirements (such as GDPR), data retention, and internal policies related to data security and privacy. Complex Problem Solving: Proven ability to tackle complex technical challenges, particularly related to performance optimization, scalability, and system resilience. Experience in designing solutions that address high-volume data processing and integration challenges. Advanced Certifications: Salesforce Developer I & II certifications are required; Salesforce System Architect and/or Salesforce CPQ Specialist Certification is highly preferred. Additional certifications, such as Salesforce Technical Architect or Application Architect, are a plus. Agile and DevOps Expertise: Agile and DevOps Expertise: In-depth understanding of Agile methodologies, with experience leading Agile teams. Proficiency in Salesforce DevOps practices, including CI/CD pipelines, version control (Git), and automated testing frameworks. Hands-on experience using AI coding assistants and LLM-based tools to accelerate development, testing, and documentation workflows. Autonomy and Adaptability : Comfortable operating independently with minimal oversight and adjusting quickly to shifting priorities, ambiguous requirements, and evolving project scope in a fast-moving environment. Communication and Presentation Skills: Exceptional written and verbal communication skills, with the ability to effectively present complex technical information to senior leadership and external stakeholders. Experience in technical writing and documentation. Quality and Standards Oversight: Experience establishing and enforcing coding standards, best practices, and quality assurance processes. Focus on writing meaningful and comprehensive tests, including unit tests, integration tests, and end-to-end tests, to ensure the robustness and reliability of software. Responsible for conducting thorough code reviews and maintaining high-quality standards across all deliverables. Ability to collaborate in a highly geographically dispersed team environment. Optional Bonus Skills Salesforce System Architect Certification Proven experience developing programmatic components to extend Salesforce Enterprise Territory Management functionality. #LI-DC2 #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. Oakland Pay Range $202,787 — $253,483.50 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.

We are a global algorithmic trading firm with an advanced technology stack, driving the full trading cycle — from market research and strategy design to algorithm development and software engineering. Our strength lies in deep market expertise and the continuous evolution of our infrastructure to stay ahead of the industry. Responsibilities: — Work through high-level business and technical requirements with the product, trading, and engineering teams, then build the resulting platform features. — Design, build, and maintain core platform components in Rust: exchange and broker gateways, data pipelines, monitoring tools, and algo trading infrastructure. — Optimize latency, throughput, and stability based on measurements and load testing. Low latency, reliability, and determinism are hard requirements. — Add observability to new components (metrics, logs, tracing, alerts, dashboards) so execution issues get caught early. — Diagnose incidents in the trading loop, find the root cause, write up the analysis, and fix the problem so it does not recur. — Ensure quality through automated (unit, integration, performance) and manual testing with QA, and maintain the test harnesses and integration suites that validate scenarios before production. — Document modules, service contracts, integration rules, and operational runbooks. — Help design and decompose features and epics, taking the product and trading side and operational risk into account. Qualifications: — 5+ years of relevant experience building low-latency, high-reliability systems. — Extensive experience in Rust. — Good understanding of computer systems and software architecture: Linux, networking, data structures and algorithms, concurrent and parallel programming, distributed computing, and performance optimization. — Strong engineering fundamentals and a preference for readable, maintainable code and sensible testing. — Takes ownership of tasks through to production and works to clear blockers, including pushing peers when needed. — Higher technical education or equivalent professional experience. Nice to have: — Familiarity with a trading domain: market data, trading protocols, operational risk. What we offer: — Remote-first: work from anywhere. — Tech-driven environment: no bureaucracy, legacy systems, or tech debt. — Growth & development: work with top talent in a fast-paced, innovation-driven culture. — Perks: medical insurance, sports benefits, home office setup, and educational support.

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. 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. 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: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a Sr Software Engineer to join the Platform Ops team (Platform Engineering) and enable developer productivity by building and improving developer tooling and environments, and by improving other productivity tools around observability. Our team builds the shared systems and workflows engineers rely on every day—internal developer environments and self-serve tooling that makes the recommended way to ship changes the easiest way. This is a platform tooling role with a focus is on reusable capabilities and self-service workflows adopted across teams. You’ll also help develop AI-based workflows for productivity and efficiency, including automation that improves infrastructure operations (for example, faster triage, automated runbook steps, and better self-service for common issues). You’ll prioritize the highest-impact problems by looking at where time is being lost today (slow builds, flaky tests, manual release steps, repetitive operational work) and turning that into concrete projects. You’ll set clear success metrics up front and use them to guide design decisions and rollouts. Expect to partner closely with engineering teams to drive adoption, document changes, and iterate based on feedback. You’ll drive cross-team work across internal tooling, developer environments, observability, and reliability, focusing on measurable improvements (for example: shorter lead time, fewer incidents, and faster recovery). You’ll add automation and enable developer workflows across all three major cloud environments (AWS, Azure, and GCP). Over time, you’ll own medium-sized projects end-to-end: identify the highest-friction workflows with partner teams, build and ship improvements, roll them out safely, and iterate based on adoption and measurable outcomes (for example: faster builds, fewer flaky tests, shorter time to debug, and less operational toil). You’ll collaborate closely with Platform Engineering, Release Engineering, Security, and product engineering teams to make improvements that are easy to adopt and maintain. What You’ll Do Build internal tools and services in Python and/or Go Build tooling for our internal developer platform (self-service workflows, shared patterns, developer-facing interfaces) Add automation and enable developer workflows across all three major cloud environments (AWS, Azure, and GCP) Develop AI-based workflows that improve developer experience and reduce repetitive manual work, including efficiency gains in infrastructure operations Improve developer feedback loops through better observability (metrics/logs/traces), making failures easier to diagnose Automate common engineering workflows (scaffolding, environment setup, releases, operational runbooks) Improve observability for platform services (metrics, logs, traces) to make issues easier to detect and debug Integrate tools into existing workflows (CLI, Slack, GitHub, dashboards) where it reduces time-to-resolution Participate in on-call/incident response as needed and drive follow-up automation to prevent repeat issues Skills We’re Looking For Professional software engineering experience in Python and/or Go Experience building developer productivity tooling (CI systems, build tooling, developer portals, workflow automation) Experience with at least one cloud provider ( AWS , Azure , or GCP ) Strong fundamentals: testing, code review, debugging, and operating production services Ability to work effectively in a remote, cross-team environment You'll have an edge if you have: Kubernetes experience Infrastructure-as-code (Terraform/OpenTofu), including reusable modules and safe state management #LI-HYBRID #LI-JI1 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: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a Staff Software Engineer to join the Platform Ops team (Platform Engineering) and lead initiatives that enable developer productivity by building and improving developer tooling and environments, and by improving other productivity tools around observability. Our team builds the shared systems and workflows engineers rely on every day—internal developer environments and self-serve tooling that makes the recommended way to ship changes the easiest way. This is a platform tooling role with a focus is on reusable capabilities and self-service workflows adopted across teams. You’ll also help develop AI-based workflows for productivity and efficiency, including automation that improves infrastructure operations (for example, faster triage, automated runbook steps, and better self-service for common issues). You’ll prioritize the highest-impact problems by looking at where time is being lost today (slow builds, flaky tests, manual release steps, repetitive operational work) and turning that into concrete projects. You’ll set clear success metrics up front and use them to guide design decisions and rollouts. Expect to partner closely with engineering teams to drive adoption, document changes, and iterate based on feedback. You’ll drive cross-team work across internal tooling, developer environments, observability, and reliability, focusing on measurable improvements (for example: shorter lead time, fewer incidents, and faster recovery). You’ll add automation and enable developer workflows across all three major cloud environments (AWS, Azure, and GCP). As a staff engineer on the team, you’ll lead medium-to-large initiatives end-to-end: define the problem with stakeholders, write a design and rollout plan, build and operate the solution in Python/Go, and measure results. You’ll work across Platform Engineering, Release Engineering, Security, and product engineering teams to make improvements that are adopted broadly and remain reliable over time. What You’ll Do Lead end-to-end projects that improve developer tooling, environments, and operational workflows (speed, reliability, and safety) Design and operate internal tooling/services in Python and/or Go Build tooling for our internal developer platform (self-service workflows, shared patterns, developer-facing interfaces) Add automation and enable developer workflows across all three major cloud environments (AWS, Azure, and GCP) Develop AI-based workflows that improve developer experience and reduce repetitive manual work, including efficiency gains in infrastructure operations Improve developer feedback loops through better observability (metrics/logs/traces), making failures easier to diagnose Design/build and document “paved paths” and self-service capabilities so teams can ship without extensive platform expertise Improve reliability through automation and observability (metrics/logs/traces), and drive incident follow-ups to reduce recurrence Set technical direction (design docs, tradeoffs, sequencing) and drive delivery across stakeholders Mentor engineers through design and code reviews Skills We’re Looking For : Strong experience building and operating production services in Python and/or Go Experience with at least one cloud provider ( AWS , Azure , or GCP ) and core primitives (IAM, networking, compute) Experience building developer productivity tooling (CI systems, build tooling, developer portals, workflow automation) Track record leading ambiguous, cross-team technical projects to completion Strong communication and engineering judgment You'll have an edge if you have : Kubernetes/platform abstractions experience Infrastructure-as-code (Terraform/OpenTofu), including reusable modules, safe state practices, and modernization of shared platform foundations Experience building internal developer platforms (IDPs) / developer portals / self-service tooling #LI-HYBRID #LI-JI1 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.