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Location: Australia; New Zealand; South Africa; Singapore; Philippines About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. About the company Our client is an established B2B sales acceleration partner that specializes in managing complex, high-value sales cycles for ambitious brands globally. With over a decade of expertise, the team provides outsourced sales development, inbound lead conversion, and account-based targeting across diverse sectors, including FinTech, Healthcare, and Manufacturing. They combine a consultative, question-based methodology with a modern sales technology stack to transform lead flow into tangible revenue. Job Type: Full-time Engagement: Independent Contractor Timezone: AUS Job Summary Are you a driven, high-energy sales professional looking to join a globally recognized leader in outsourced sales acceleration? We are seeking a determined Sales Development Representative based in Australia to help drive growth for our world-class clients. With 15 years of operational excellence and a proven methodology, the team provides the stability of an established firm with the fast-paced energy of a high-growth sales environment. This is a unique opportunity to sharpen your skills using a sophisticated sales engine while paving a clear path toward leadership. Key Responsibilities Conduct high-volume outbound prospecting, averaging approximately 50 calls per day to key decision-makers. Manage the full top-of-funnel lifecycle, from initial research to securing qualified meetings. Consistently achieve a target of 10 qualified outbound opportunities per month. Maintain meticulous records and pipeline management within Salesforce. Collaborate with senior stakeholders to refine messaging and optimize outreach strategies. Participate in regular coaching sessions to master the team’s proprietary sales methodologies. Requirements Communication: Exceptional verbal and written communication skills with an affable, professional demeanor. Mindset: High level of coachability, natural curiosity, and the determination to overcome objections. Technical Skills: Proficiency with CRM tools, specifically Salesforce. Consistency: A proven track record of maintaining high activity levels and meeting KPIs. Nice-to-Haves Previous experience in outsourced sales or lead generation services. Familiarity with B2B tech stacks and multi-channel prospecting (Email, LinkedIn, Phone). A background in a fast-paced, target-driven environment. Benefits 💰 Competitive base salary with uncapped commission 🌎 Fully remote work environment across APAC 🚀 Career growth opportunities within a globally respected sales organization 📈 Long-term stability within a well-established and structured firm 🎯 Performance-based incentives and milestone rewards 🛠 Access to premium sales tools and world-class training methodologies

Location: South Africa; Pakistan; Philippines; India About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Job Summary We are seeking a commercially minded Performance Ads Manager to drive high-quality lead generation and growth for our clients. In this role, you’ll be directly responsible for the performance of client open-day campaigns, with a focus on filling events while maintaining efficient acquisition costs. You won’t simply be managing campaigns — you’ll take ownership of performance across the funnel, from creative strategy and paid acquisition through to landing page conversion and lead-to-booking rates. You’ll continuously analyze local competition, test new creative approaches, identify opportunities for improvement, and use performance data to make informed decisions. This is a great opportunity for a proactive performance marketer who enjoys taking ownership and wants to have a visible impact within a small, collaborative team. Key Responsibilities Manage, optimize, and scale paid social campaigns to consistently generate enough qualified leads to fill client open days. Maintain CPL (Cost Per Lead) within agreed target ranges while protecting lead quality. Monitor and improve lead-to-booking rates through ongoing funnel analysis and optimization. Conduct regular competitor and market research to help clients remain competitive within their local markets. Develop, brief, and test new creative concepts in collaboration with content creators. Continuously optimize and A/B test landing pages to improve conversion rates. Analyze campaign performance and identify opportunities to improve acquisition efficiency and overall results. Produce detailed monthly reports highlighting performance, meaningful optimizations, tests, and strategic changes. Use AnyTrack and server-side tracking to maintain accurate campaign data and attribution. Proactively identify performance issues and implement solutions rather than waiting for direction. Requirements High levels of professional ownership, clear communication, and accountability, with the ability to learn from mistakes and adapt quickly. Proven experience developing paid advertising creative strategies and directing content creators to produce high-performing assets. Previous experience working within an agency environment and the ability to thrive in a small, collaborative team. Strong technical knowledge of paid media platforms, campaign optimization, and performance marketing fundamentals. A proven track record of working toward specific lead generation, CPL, conversion, or booking targets. Strong analytical skills and the ability to turn campaign and funnel data into actionable decisions. Ability to work standard UK business hours. Broader digital marketing knowledge and the versatility to support a small, agile team across different marketing functions when required. Experience using GoHighLevel is a must have. Experience using Basecamp or similar project management tools. Experience using AI tools effectively and building automations that improve marketing performance or operational efficiency. Comfortable working with tracking and attribution tools such as AnyTrack, including an understanding of server-side tracking. Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement

Location: New York City, NY; San Francisco, CA; 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. We are seeking an experienced Program Manager for a critical pillar of our Program Management function: Commercial Operations. This role will transform our commercial infrastructure into a revenue accelerator, building and executing the operational leverage that enables Anthropic to maintain velocity as we scale. You'll be responsible for managing and enhancing processes that support rapid product growth. The ideal candidate combines strategic thinking with operational excellence, someone who can both envision where we need to be in 12 months and build the infrastructure to get us there. Responsibilities Play a central role on the team that runs Anthropic's programs for Commercial Launches — helping evolve an established launch motion into a scalable, well-instrumented program that keeps pace with an accelerating product roadmap Run launches end-to-end through the Commercial launch process: lead intake and scoping for your portfolio of launches, translate each into its commercial-readiness requirements (pricing, billing, tax, marketplace, compliance and selling motions), and collaborate with product teams to develop paths to launch Identify where launches slow down today and drive resolution to prevent them from recurring: propose and implement process and system changes, clarify ownership, drive completion across partner teams like, Product, Engineering, Finance, Legal, and GTM. Build specific program components that don't exist yet — launch tiering, readiness criteria, playbooks, templates, SLAs; and develop training that shifts programs from late-stage gatekeeper to early-stage partner Take ownership of major program-improvement workstreams such as instrumentation (pipeline visibility, readiness scorecards, guides, throughput and cycle-time metrics) or workflow tooling and automation (intake, tracking, approvals, status) in partnership with Engineering and systems teams Work cross-functionally with Product, Engineering, Finance, and GTM teams to design clear interfaces and processes that span multiple teams You may be a good fit if you have Experience building and running new product introduction processes Experience building capabilities and solutions that enable launching in new ways, from pricing to geographies 10+ years of experience in operations, with demonstrated success in billing, payments, or commercial operations (high-volume SaaS experience a plus) Strong working knowledge of billing systems, subscription management, and payments platforms Proven track record of building and scaling operational programs in high-growth environments — taking things from 0-1 and then scaling beyond Willing to roll up your sleeves and do the operational work of building while also leading a team Experience with automation initiatives and partnering with engineering teams to build operational tooling Strong analytical abilities, problem-solving skills, and the ability to demonstrate ROI on operational programs Excellent cross-functional collaboration skills with the ability to influence stakeholders across GTM, Finance, Product, and Engineering Adaptability and comfort working in fast-paced, ambiguous environments where you need to balance multiple priorities simultaneously Excitement about building the operational backbone that enables Anthropic to stay on the exponential 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: $190,000 — $300,000 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: Remote Canada; Toronto, Ontario Workplace: Remote Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. THE ADVENTURE AHEAD This is a partner marketing role built for pipeline. You'll turn a small number of high-potential partnerships (think AWS, Deloitte, and Carahsoft) into real, measurable revenue channels. You'll also be our enterprise marketing lead for regulated industries, specifically life sciences and government, where trust, compliance, and the right partner relationships decide who wins. The objective is clear, but the playbook is yours to define. Some weeks you'll build an account plan with an AWS demand gen partner. Other weeks you'll plan a field event for healthcare or federal buyers, or work with sales on a named account list. The goal is to leverage partner channels to generate Enterprise, public sector and life sciences pipeline. 🗓️ THE DAY-TO-DAY Partner Marketing That Generates Pipeline (the core of the job) - Run joint programs with a small number of select partners (AWS, Deloitte, Carahsoft, and others as we prove what works) that move Enterprise and Gov pipeline. - Make AWS work harder. Partner with our AWS demand gen resource by supplying what's been missing: target account selection, strong assets, account intelligence, seller engagement, tracking, and a packaged pitch AWS sellers can use. - Use partner relationships to open doors at named ABM accounts, through formal partner workflows and one-off introductions, and build a repeatable process around both. - Work closely with the Partnerships team on joint planning, co-funded activity, and accountability on timelines and lead commitments. - Own partner-sourced and partner-influenced attribution with RevOps so we know what's working and where to invest. Field Events - Plan and run field events that put us in front of enterprise buyers, including Supper Clubs and partner co-hosted dinners, roundtables, and executive gatherings. - Work with partners to co-fund and co-host events, with registrant targets and clear roles agreed up front. - Partner with AEs, BDRs, and partner managers before and after every event so meetings, follow-up, and pipeline actually happen. - Support our presence at industry events (for example, HR Tech, Unleash, DevLearn, and GovLoop) and turn them into pipeline. Regulated Industries: Healthcare and Government - Own the enterprise marketing approach for healthcare and public-sector buyers, where long cycles, compliance requirements, and buying committees shape everything. - Build account-based programs for healthcare systems and government agencies using intent data and buying signals. - Support federal campaigns alongside product marketing and the gov sales team: content syndication, event execution, targeted account lists, and partner-led plays (such as Carahsoft). - Develop messaging and programs that speak to the real concerns of regulated buyers, like security, compliance, procurement paths, and contract vehicles. Account-Based Execution and Sales Partnership - Build account-based programs that reach full buying committees, including expansion into new teams inside existing accounts. - Partner with enterprise AMs, AEs, and BDRs through structured cadences on targeting, messaging, and pipeline reviews. Measurement & Iteration - Use AI to scale what works. - Measure everything: pipeline created, influenced, and accelerated, with clear attribution across new business, expansion, and partner-sourced. - If something isn't working, whether a channel, an event, or a partner, you say so and change course. No sunk-cost loyalty. 💪 YOUR SUPERPOWERS - Pipeline-obsessed marketer: 4–6 years of B2B SaaS marketing experience, with at least 1–2 years targeting enterprise buyers (5,000+ employees). You've driven measurable pipeline and revenue, not just lead volume. - Partner builder: You've made partnerships produce pipeline, not just co-branded content. You know how to get a partner's sellers to care about your accounts. - Field event operator: You've planned and executed events that turned into meetings and opportunities, and you know how to get sales and partners in the room. - Buying-committee thinker: You're fluent in intent data, buying signals, and account engagement, and you use them to decide where to focus. - Sales trust-builder: You win as a team with sales, through in-the-weeds collaboration and shared accountability. - Ruthless about scope: You orient around what gets results and can stay focused on a few partners and programs without losing sight of the goal. - "I can figure this out" mindset toward tools: UserGems, Influ2, ReachDesk, HubSpot, Salesforce, Outreach, Claude. Bonus points if you've used some, but curiosity matters more than a checklist. - Active AI practitioner: You're already applying AI anywhere and everywhere. 🎁 BONUS POINTS - Experience marketing to healthcare, government, or other regulated or public-sector buyers. - Experience with hyperscalers (AWS, Google Cloud, Azure), co-sell, or global systems-integrator partnerships (Deloitte-style) where you made the relationship produce pipeline. - Experience with government channel partners or reseller/contract vehicle models (Carahsoft-style). - Familiarity with compliance and procurement considerations in healthcare or federal sales. - Experience in learning, HR tech, or skills-focused technology. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Remote Canada Workplace: Remote Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. Docebo is a hybrid workplace, with employees expected to work 3 days per week from our offices. However, due to the niche skill set required for this role, we are opening this position to remote candidates as an exception to our standard workplace policy. 🌟 THE ADVENTURE AHEAD At Docebo, we win in the enterprise segment by knowing our customers and running programs that generate real pipeline — full stop. This role exists for one reason: more enterprise pipeline, by any means possible. Not "this channel." Not "the approved playbook." Just whatever moves Enterprise accounts closer to a deal. You’ll deploy strategic campaigns and activations to ensure our existing accounts expand. If you find yourself protecting a channel instead of the outcome, you're doing it wrong. The objective is clear; however, the playbook to get there is yours to define. You'll run upsell and cross-sell programs, you'll make an underperforming enterprise partner a revenue generating channel, and you'll support some Enterprise federal focused activities. Every week or day will look a little bit different, but the goal and focus areas remain the same. 🗓️ THE DAY-TO-DAY PIPELINE GENERATION (THE CORE OF THE JOB) - Drive net-new enterprise pipeline through multi-channel programs — partner marketing, ABM, digital, field events, direct mail, coordinated outbound, or whatever works. The channel is secondary. The pipeline is the point. - Build account-based programs using intent data and buying signals to prioritize in-market accounts and reach full buying committees, not just ad hoc contacts. - Partner with enterprise AMs, AEs and BDRs through structured cadences on targeting, messaging, and pipeline reviews. You build trust and collaboration with the sales team. ENTERPRISE EXPANSION — CROSS-SELL / UPSELL (YOU OWN THIS) - Own the enterprise cross-sell and upsell motion: identify new buying groups inside existing accounts, get in front of the teams not yet using Docebo, and help accelerate in-flight expansion opportunities. FEDERAL / GOVERNMENT SUPPORT - Support enterprise federal campaigns. This includes content syndication, event execution, targeted account lists, and campaign support alongside product marketing and the broader gov motion. This is a support function within your book of work, not a standalone track. ENTERPRISE PARTNER MARKETING - Run partner campaigns with a small number of select partners that move ENT/Gov pipeline (think Deloitte, AWS, Carahsoft) — joint programs and co-hosted events. If it generates measurable, Enterprise pipeline, it’s in scope. MEASUREMENT & ITERATION - Using AI to scale what works. - Measure everything — pipeline created, influenced, and accelerated, with clear attribution across new business, expansion, and partner-sourced. - If something isn't working, you say so and change course. No sunk-cost loyalty to a channel or a partner. 💪 YOUR SUPERPOWERS - Pipeline-obsessed generalist: 3–4 years of B2B SaaS marketing experience, at least 1 year with enterprise buyers (5,000+ employees). You've driven measurable pipeline and revenue across new business, expansion, and cross-sell — not just lead volume. - Buying-committee thinker: Fluency in intent data, buying signals, and account engagement scoring informs how you prioritize and what you build. - Sales trust-builder: You understand you win as a team with sales — in-the-weeds collaboration, pipeline reviews, and shared accountability, not just campaign reporting. - Ruthless about scope: You orient around what gets results, full-stop. You can hold a lever without losing sight of the end goal. - "I can figure this out" mindset toward tools: UserGems, UserLed, Influ2, ReachDesk, HubSpot, Salesforce, Claude, Outreach — bonus points if you've used some of them, but curiosity and aptitude matters more than a checklist match. - Active AI practitioner: you're already applying AI anywhere and everywhere. 🎁 BONUS POINTS - Experience running or collaborating on field events as part of an enterprise GTM motion. - Experience targeting government or public-sector accounts. - Exposure to AWS Marketplace or systems-integrator partnerships (Deloitte-style relationships) — specifically where you've made the partnership produce pipeline, not just co-branded content. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: 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 Frontier AI is on track to be among the most consequential and most adversarially-targeted technology in the world. The capability curve is steep, the adversaries who want these systems are extremely well-resourced, and the security bar this will eventually require is well beyond where the industry operates today. Incremental hardening alone is not going to close that gap, so we need breakthroughs and a group of people to go find them. Security Labs is that team. We run a portfolio of high-risk, high-expected-value security projects: the work that seems impractical until someone optimistic and stubborn enough actually tries it. Projects run on the order of weeks rather than quarters, and each one is either handed off to the Anthropic team that will own it in production or wound down with a writeup of what we learned. We expect a meaningful fraction of our bets not to land. This team is intentionally scrappy and ambitious. We're intentionally iterating fast on high-risk research bets and we expect a meaningful fraction not to land. If a 30% project success rate sounds uncomfortable, or uncharted and chaotic territory isn’t both frightening and exciting, this probably isn't the right fit. There are other places in Anthropic Security doing important work with more structure, less risk, and more certain paths to positive outcomes. The questions we're trying to answer include: Can our core research workflows survive extreme isolation? Can we replace trust with cryptographic guarantees? Can the models themselves become our most effective security control? What would it actually take to defend against a tier-1 state adversary, and how much of that can we build now? Who we're looking for. We're hiring generalists with rare depth. You're a strong software engineer as a baseline, and on top of that you've gone deep in at least one area most engineers don't get near: firmware or hardware security, applied cryptography, OS / kernel / hypervisor internals, formal methods, reverse engineering, or high-assurance and cross-domain systems. You've built things under your own direction, you're comfortable jumping layers when the problem demands it, and you'd rather take a swing at something that might not work than ship the safe incremental thing. You think the trajectory of AI matters a great deal, you're not comfortable with how the security side of it is going by default, and you'd rather be on the inside building the answer than watching from outside. Current Project Areas The portfolio changes as we learn. The kinds of bets currently in flight or queued: Standing up a prototype high-assurance research cluster: running real Anthropic training and research workloads under extreme isolation and physical security controls, and finding out exactly where productivity breaks and what we'd need to invent to get it back Provable inference: cryptographic verification (zero-knowledge proofs, attestation chains) that a given output came from a specific model running specific code, replacing "trust us" with math Build hypervisor-isolated microVM workload isolation across the fleet Compiling an ML kernel through a formally verified pipeline where every lowering step carries a machine-checked proof of equivalence, making compilation-layer sabotage mathematically detectable Regenerating clusters: automation that spins up a purpose-built cell, runs a workload, and tears the whole thing down on a TTL measured in hours, so attacker persistence has an expiry date Using Claude itself to drive security work end to end: threat modeling new compute platforms, rewriting critical services to zero external dependencies, running the test equipment that validates what hardware datasheets claim Part of your job is deciding what comes next. We hire people we trust to pick good bets, and project selection is owned by the engineers doing the work. Key responsibilities Own Security Labs projects end to end. You'll scope the bet, build the prototype, run it against real workloads, and bring it to either a hand-off or a documented exit Stand up novel security infrastructure fast (isolated clusters, attestation chains, hypervisor and runtime work, verification tooling) optimizing for what we learn rather than for permanence Find the receiving team early, bring them along while you build, and hand them something they actually want to own Work embedded with research and infrastructure teams (Pretraining, RL, Inference, Compute) to test whether their workflows survive what you're proposing, and document precisely where they don't Turn experimental results into short writeups that shape Anthropic's long-term security architecture, and into costed contingency plans we could execute on short notice Help pick the next round of bets and influence the industry to get better along the way Minimum qualifications Genuinely care about where AI is heading and want to work on the security problems that determine whether it goes well. This is the most important thing on this list Have real depth in at least one area most software engineers don't touch (e.g. firmware or hardware security, applied cryptography, OS / kernel / hypervisor internals, formal methods and verification, reverse engineering and exploit development, or high-assurance / cross-domain systems) Have built and shipped things under your own direction. Maybe you founded a company or research group, maintained an open-source project other people depend on, or shipped research that changed how people in your field work. We weight this far more than where you've worked or for how long Have a track record of choosing the problem yourself and seeing it through, rather than only executing a plan someone else handed you Are comfortable jumping between domains and layers of the stack when the problem calls for it, and have actually done so Have run prototypes or experiments where the goal was answering a hard question rather than shipping a permanent system, including ones that didn't pan out Write clearly enough to turn weeks of work into a couple of pages someone can act on Change your mind when the evidence says to, and are fine being the least-expert person in a room full of specialists Care about defense. Plenty of folks here come from offense and that background is valuable, but what you actually want to spend your time on now is making systems hold up Are a strong programmer (Python plus at least one of Rust, Go, or C/C++) and can stand up real infrastructure without that being the interesting part of your week Preferred qualifications Experience inside airgapped or high-side environments (classified networks, cross-domain solutions, ICS/SCADA, financial trading infrastructure) and the operational realities of working in them A background in offensive security, red teaming, or vulnerability research, with calibrated intuitions for which threats actually matter Familiarity with ML infrastructure (training pipelines, distributed schedulers, inference serving, accelerator hardware) sufficient for grounded conversations with researchers about what their workloads actually need A history of working in environments built around rapid iteration rather than rigid change control: startups, applied research groups, independent consulting, small security shops 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: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ The Products Team at Docker is looking for a Principal Product Manager to lead components of Docker Sandboxes. You will own and drive this strategic product area from high-level concept design through delivery, adoption, and operation. You will help shape how developers and AI agents use fast, secure, isolated environments across local and cloud workflows. You will work closely with developers inside and outside of Docker, our customers, and our partners to expand our open ecosystem offering and provide value. As the company and ecosystem grow, you will help foster teams eager to continuously build, measure, and learn. To thrive in this role, you will need experience working with developers, deep technical fluency in systems and developer infrastructure, and prior experience as a software engineer. You will need to understand containers, sandboxes/microVMs, virtualization technologies, hypervisors, the software development lifecycle, and how untrusted or agent-generated code can be safely executed and orchestrated. You will need a relentless drive to try new things and an eye for detail. Your long-term success will depend on your ability to own the product roadmap, earn the trust of the developer community, and scale reliable services. Most importantly, you will need to be comfortable taking ownership of big objectives with big goals, working with a cross-functional team, and maintaining a bias for action. RESPONSIBILITIES - You own Docker Sandboxes, its long-term vision, roadmap, revenue, adoption, and results. - You believe in and can succinctly articulate our customers, their workflows, and their pain points. You empathize with the world they live in and the security, performance, compatibility, and cost constraints they work through. - You will engage deeply with developers building AI agents, coding environments, CI and testing systems, and other workloads that require secure, isolated execution, finding solutions for today while optimizing for tomorrow's vision. - You enjoy building infrastructure products that are easy to adopt and use. You will turn complex tradeoffs across isolation, startup time, performance, density, networking, storage, and cost into simple product experiences. - You are comfortable with ambiguity and will guide product definition, feature prioritization, and scope in concert with engineering, design, security, operations, and go-to-market teams. - You are a fan of iterative development, working with customers and cross-functional teams to hypothesize, measure adoption and impact, learn from releases, and continually improve the roadmap. QUALIFICATIONS - You have deep empathy for the needs of developers and are obsessed with talking to your users. - You have prior professional experience as a software engineer, ideally in systems, infrastructure, platform engineering, developer tools, or cloud. - You have strong technical familiarity with sandboxes/microVMs, containers, virtualization technologies, and hypervisors, including the isolation and security boundaries each provides. - You understand the building blocks of modern developer infrastructure, including Linux, container runtimes, orchestration, networking, storage, APIs, and cloud services. - You have experience designing, building, or operating systems that execute customer-provided, untrusted, or agent-generated code at scale. - You are comfortable interacting with a command-line interface and discussing APIs, SDKs, and technical architecture with engineers and developers. - You have experience building B2B or SaaS products, or a background in public cloud and developer infrastructure. - You understand software supply chain and software security concerns, including multi-tenant isolation, identity, secrets management, observability, and reliability. - You can break down complex technical problems into small, releasable, user-valuable features. - You can explain complex ideas simply and communicate effectively in writing, verbally, and visually across diverse stakeholders. - You can analyze qualitative and quantitative data to inform decisions, define success metrics, and prioritize investments. - You have a collaborative approach, experience running products from greenfield to scale, and the ability to work with fast-moving, distributed, cross-functional teams. You are a doer as well as a strategist; we are small and need all hands on deck. WHAT TO EXPECT FIRST 30 DAYS - Get to know Docker: our vision, mission, and values. - Understand the Docker Sandboxes team's mission, product strategy, and technical architecture. - Meet the team along with peers across the business unit and company. - Work closely with designers, researchers, engineers, security partners, and customers to understand user needs and current pain points. - Work with your manager and team to review and create quarterly goals. - Understand the product roadmap, key technical and business tradeoffs, and the data available to make data-driven decisions. FIRST 90 DAYS - Understand the company's and business unit's product vision and how Docker Sandboxes contributes to it. - Provide clarity on product vision, target users, priority use cases, and how the team contributes to the overall success of Docker. - Develop a deep understanding of our developers and customers, how they use isolated environments, and why they choose Docker. - Shape the team roadmap and product strategy in close collaboration with design, engineering, security, and go-to-market peers. - Lead the definition of team OKRs and success metrics for the quarter, and provide clear progress reports. ONE YEAR OUTLOOK - Lead product initiatives across cross-functional teams that make secure, isolated execution simple and valuable for developers and AI agents. - Drive the long-term direction of Docker Sandboxes, including improvements to adoption, ecosystem integration, reliability, scale, unit economics, and ARR. Docker does not offer visa sponsorship for this role. Compensation & Equity Canada CA$255,500 - CA$365,000 + equity United States: $280,000 – $300,000 + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

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 team Secure Frameworks is the team in Anthropic's Security Engineering org that builds shared security libraries and frameworks the rest of the company builds on. We collaborate closely with teams and leaders across Anthropic to own critical security foundations, including workload identity and authorization, cryptographic frameworks, and the centralized access proxy that  secures traffic to internal applications. Our mission is to make the secure thing easy and the easy thing secure by helping Anthropic engineers get secure behaviour by default and preventing entire classes of vulnerabilities through careful design. We own what we ship, help customers adopt better security practices and at times we work embedded directly in research, infrastructure or product teams. About the role You will design, build and run security foundations used across Anthropic's fleet, from threat model through production, on-call and adoption. Much of the work is greenfield: our infrastructure is growing quickly and the timelines are compressed, so you will help define the architecture rather than inherit it. Depending on your strengths you will focus on one or two of the areas below and contribute across the rest. Build critical security foundations including cryptographic frameworks, mTLS infrastructure, secure serialization, and authorization systems, designed to prevent entire classes of vulnerabilities Partner with product, research, infrastructure, and other security teams to ensure frameworks integrate smoothly with lower-layer security controls Scope, design and build security services and libraries end-to-end, maintain them in production, and drive through ambiguous technical problems with minimal oversight Build and operate the zero-trust access gateway that fronts Anthropic's internal services Design and roll out authorization frameworks so services enforce least privilege consistently instead of each inventing its own access controls Own cryptographic frameworks and libraries Mentor engineers, contribute to hiring, and grow security engineering culture across Anthropic Minimum qualifications 8+ years of software engineering experience building security-relevant systems in production, including leading complex initiatives independently Strong programming skills in Go, Rust or Python Deep understanding of authentication and authorization systems: OAuth 2.0 / OIDC, JWTs, service-to-service auth, policy-based access control Hands-on experience with PKI, X.509, mTLS and workload identity Working knowledge of applied cryptography: choosing and composing primitives correctly, key management, and the ways libraries fail in practice Experience shipping and operating high-reliability services on Kubernetes across cloud and on-prem environments, including being on call for them A track record of bringing clarity and ownership to ambiguous technical problems and driving them to resolution across teams A strong sense of developer experience Clear communication across all levels of the organization Passion for AI safety and the role security engineering plays in building trustworthy AI systems Preferred qualifications Built security frameworks or libraries adopted across an engineering organization, and done the work to drive that adoption Built or operated a zero-trust / BeyondCorp-style access gateway or identity-aware proxy Migrated a fleet to mTLS at scale, including certificate issuance and staged enforcement Maintained or contributed to open-source cryptographic libraries Designed authorization systems using policy languages or relationship-based models Familiarity with ML infrastructure (training, inference serving) 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: $32,000 — $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: Berlin Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? As a Senior Account Executive at Cohere you will have ownership of the full sales cycle - from identifying leads to closing deals, with Defense, Federal Civilian and Local Government Agencies in Germany. In this role you will be focussed on business development activity across all PUBSEC Government Agencies and Departments in Germany. We’re looking for an approachable and compelling communicator who loves working with public sector customers to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them drive better mission and citizen outcomes. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across Customer Success, Sales Development, Marketing, and Sales Engineering. You’ll be the voice of the field and help our Product and Engineering teams prioritize the Cohere roadmap with customer-centric care. In this highly self-directed role, you will thrive in a quickly evolving environment. As a Senior Account Executive, you will: - Drive net-new customer acquisition through targeted outbound activity, senior leader engagement, and relationship building in Germany. - Develop and execute a sales plan for Germany, prioritizing accounts and opportunities through collaboration with Cohere leadership. - Act as a trusted advisor and thought partner to public sector customers and prospects by understanding their goals and shaping AI solutions that deliver measurable value - Work closely with channel and regional partners, as well as major system integrators to scale outreach, accelerate adoption, and maximize customer success - Leverage senior-level relationships with executives and government decision-makers to drive strategic opportunities and long-term partnerships - Collaborate with Product and Engineering teams on strategic efforts to deliver enterprise and public-sector solutions - Partner with SDRs and Marketing to drive top-of-funnel activity and overall territory growth - Own the full sales cycle; including discovery, technical and business validation, proof-of-concept, procurement, and deal close within a team-selling environment You may be a good fit if you have: - 10+ years of direct public sector sales experience in Germany, with a proven track record of closing $3M+ annual quotas. - Deep knowledge of PUBSEC procurement and budget cycles, decision-making processes, and how to work with regional partners and resellers. - Established network in Germany, including federal agencies, prime contractors, and industry associations. - Experience selling SaaS, AI/ML, or enterprise software solutions to government clients. - High tolerance for ambiguity, you are both a strategist and a hands-on operator capable of building a market from the ground up - Strong organizational skills, with the ability to manage multiple internal and external stakeholders across fast-moving deals - Creativity and strong technical acumen to structure unique, mutually beneficial partnerships - Excellent communication skills, you listen deeply, understand what matters to senior decision-makers, and confidently present to both technical and non-technical audiences. - English and German language proficiency essential. - Must be based in Germany with willingness to travel (25-35%). FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

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 The Security Risk team is responsible for how Anthropic identifies, prioritizes, and drives treatment of its most important security risks. We are rebuilding risk management to operate as an engineering function, using automation, quantitative risk and AI-native platforms to enable decision making. The risks we assess span Anthropic's full security landscape, so the team needs breadth across domains and the judgment to go deep wherever a decision demands it. Security Risk, in deep partnership with Security Engineering, helps define the security program and shapes how investment and treatment decisions get made. The conventional GRC playbook was not built for a company shipping frontier AI. You will help define what replaces it, with a direct line to CISO-level decisions. As a Security Risk Analyst you will take risk questions from leadership and partner teams and drive them to a decision. Sometimes that is a fast, structured qualitative assessment and other times it is a deep FAIR-based quantitative analysis. Either way you bring leadership a clear position, the tradeoffs, and honest uncertainty, and you defend it under challenge. In parallel, you will help turn quantitative risk into a product partner teams can leverage, and define the standards a growing risk function will run on. Key responsibilities Enable leadership and partner teams to make risk-informed decisions. Take ambiguous risk questions, drive them to a documented decision, and communicate the quantitative and qualitative tradeoffs clearly Lead quantitative analysis of the company's top security risk scenarios using FAIR, calibrated estimation, and simulation, working with the engineers who own the systems and presenting results in terms leadership can act on Partner with Security Engineering to assess threat scenarios and control effectiveness so security investment is right-sized to actual risk and remediation is sequenced where it buys down the most risk Frame escalations and risk treatment decisions with a clear recommendation, an honest statement of uncertainty, and re-evaluation triggers, and pressure test those decisions with risk owners Shape the analysis and narrative behind leadership risk reviews, and help define risk appetite and the risk metrics the organization should measure and why Use AI and automation to scale risk analysis, and own the calibration and quality review that keep the outputs trustworthy Turn one-off analyses into reusable methods, templates, and training so risk analysis becomes increasingly self service for partner teams, and raise the analytical quality of the risk register You may be a good fit if you Have owned security or technology risk analysis end to end, qualitative and quantitative, and can point to a decision your output changed, whether a funding call, a launch call, a remediation sequence, or a documented acceptance Have hands-on FAIR-style quantification experience, including scenario decomposition, calibrated estimation, and Monte Carlo simulation in Python, R, or spreadsheet tooling, briefed to decision makers Thrive in ambiguity. You frame a moving question into something analyzable, pick the depth that fits, and drive to a decision rather than a report Put defensible severity and likelihood on ambiguous problems, state uncertainty honestly, and change your position when the evidence changes Have enough technical security depth to decompose an attack path with security engineers and be credible in the room Can compress a complex risk position into one paragraph for the CISO, make the tradeoff explicit, and defend it under pointed questions Use Claude or other LLMs as daily working tools and review model output critically Are low ego and collaborative, build credibility through the work, and care about AI safety and the role security risk plays in it Strong candidates may also Have applied FAIR-CAM or another structured approach to control effectiveness and attack path modeling Have built or operated a cyber risk quantification program, or turned quantitative analysis into tooling, templates, or training that others ran Have helped define risk appetite or tolerance thresholds an organization actually used to make decisions Bring a background in security engineering, detection, threat intelligence, actuarial science, or decision science that grounds the numbers in real systems Are familiar with security risks specific to AI systems, such as goal or intent modification, and how they change traditional threat models 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: $270,000 — $345,000 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: London, United Kingdom; Zurich, Switzerland; Paris, France Workplace: Hybrid About Ledger We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger. At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries. The team: Ledger has secured digital assets for millions of people. Ledger Enterprise brings the same security to institutions. Banks, exchanges, custodians and stablecoin issuers use our platform to hold, move and govern digital assets on infrastructure they control: Vault for self-custody, HSM On-Premises for institutions that need keys inside their own perimeter, TradeLink for off-exchange settlement, and Multisig for on-chain governance. You’ll work closely with Business Development, Solutions Engineering, Product, Legal and Support, covering clients across Europe, the Middle East and Africa. Join a young, international, driven team in one of Ledger’s fastest-growing areas. What you’ll be doing: You will own a portfolio of institutional clients from signature onward. That covers onboarding, integration, adoption, renewal and expansion. You will be their trusted advisor inside Ledger and their voice in our product roadmap. - Own client relationships end to end. Be the primary contact for a portfolio of exchanges, banks, custodians and fintechs, and build relationships from operations teams up to C-level. - Drive integration and adoption. Explain product features clearly, run workshops, and guide clients through technical integration together with our Solutions Engineers. - Grow accounts. Identify and close upsell and cross-sell opportunities such as new products, additional users, assets or entities. Own your expansion and retention targets. - Negotiate renewals and contracts. Lead commercial discussions on renewals, amendments and pricing, working with Legal on terms. - Shape the product. Turn client feedback into clear, prioritised input for Product and influence what we build next. - Run the account rhythm. Lead QBRs, maintain account plans, keep the CRM accurate, and flag risks early. - Represent Ledger. Meet clients on-site and at industry events across EMEA, with occasional travel. What we’re looking for: - 4+ years in a similar account management or customer success role, ideally in B2B SaaS or enterprise infrastructure software. - Proven experience managing financial institution clients such as banks, asset managers, custodians or payment providers. - A track record of upselling and expanding accounts against targets. - Experience negotiating contracts and renewals with enterprise clients. - Comfort with technical conversations: you can explain APIs, integration flows and security concepts without needing an engineer in every meeting. - Hands-on experience with digital assets, or a clear and demonstrable interest in the space. - Excellent written and verbal communication in English. You can adapt your message for a CISO, a head of operations or a CFO. - A structured, self-driven way of working. You manage a portfolio without being chased. Nice to have: - Understanding of regulatory frameworks relevant to EMEA clients, such as MiCAR, DORA, the Travel Rule, the Basel crypto-asset standards, FINMA requirements, or Middle East regimes like VARA (Dubai) and ADGM. - Familiarity with custody and key management concepts like MPC, HSMs and cold/warm/hot wallet setups. - Additional languages, especially German, French or Arabic. - Experience at a crypto-native firm, a bank’s digital asset desk or a custody provider. At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to: - Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week - Health & Wellness support - Health and Life Insurance. - Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work. - Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation. - Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee. For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information. We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.

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 Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits. Within Security GRC, Compliance and Audit Programs (CAP) runs the integrated audit across our frameworks and maintains the Common Control Framework the program hangs off. This role sits in Compliance & Audit Programs and works one regime family, US public sector, from requirements through authorization and ongoing compliance, working alongside the public sector engineering pods rather than downstream of them. About the role You'll help drive the compliance programs that keep Anthropic's US government authorizations current: federal civilian (FedRAMP, including FedRAMP 20x for Claude Enterprise), Department of War (DoD impact levels, CMMC, NIST SP 800-171), and state and local (StateRAMP, TX-RAMP and agency requirements). You'll own the recurring cycles those authorizations run on (continuous monitoring, POA&M, annual assessments, significant changes), help build new authorizations as we add them, and keep every frontier model's authorizations current. You'll turn government requirements into specific, testable requirements that engineering teams build against, review the evidence that comes back, and say so when a launch is not ready for a government boundary. You'll map US government requirements onto our Common Control Framework so the public sector view and the integrated audit view of the same control stay one framework. Building with Claude is a normal part of the job: mapping, evidence collection and reporting, with you deciding where human judgment stays in the loop. This is an individual contributor role, working closely with a peer on US public sector compliance, for someone who works well independently, writes clearly, and gets satisfaction from a government authorization that holds up as the product changes underneath it. Key responsibilities Run the recurring compliance cycles for our US government authorizations (continuous monitoring, POA&M, annual assessments, SSP updates, significant changes and incident notifications), starting with C4G on Palantir FedStart and the NIST SP 800-171 assessment with Schellman Co-own FedRAMP 20x work for Claude Enterprise, and help build new authorizations (first-party FedRAMP High, DoW impact levels, StateRAMP and TX-RAMP) with requirements and evidence work Support model authorizations in GovCloud and Vertex for every model launch, as the GRC member of the Inference and model delivery pod Translate government obligations into partner team requirements, for example vulnerability SLAs in our internal vulnerability reporting platform, and review the evidence Answer public sector customer and deal questions (what a boundary allows, CUI, IRS Publication 1075, CJIS, ITAR), and handle questionnaires and RFIs until they move to Customer Trust Map US government requirements onto the Common Control Framework with the Controls Assurance Lead and keep one source of truth for status Build with Claude: automate mapping, evidence collection and reporting, and verify machine-drafted language before it becomes the record Minimum qualifications Several years in security compliance or IT audit with hands-on US government compliance for a cloud service (FedRAMP, DoD impact levels, CMMC or NIST SP 800-171, or StateRAMP), including the ongoing compliance cycle after authorization Working command of the NIST SP 800-53 Moderate baseline and the mechanics of authorization: boundary definition, control implementation statements, assessment, continuous monitoring, POA&M and significant change Experience writing requirements for engineering teams from a control baseline and reviewing the evidence that came back Working knowledge of how a GovCloud or Vertex style government region differs from commercial, and what changes when a model, feature or region is added to an authorized boundary Enough technical fluency to read a runbook, configuration or pipeline definition and judge whether it enforces the written control Clear writing, because implementation statements and status reports are what assessors, engineers and leadership work from Ability to get partner teams to prioritize and close compliance work without authority over them Preferred qualifications Have taken a service through FedRAMP High or DoD IL4 or IL5, or supported a service on classified networks Have worked on a FedRAMP 20x pilot or built machine-readable evidence or reporting for an assessor Have applied LLMs to compliance work such as control mapping, evidence testing or continuous evidence collection Hold or are eligible for a US security clearance Experience with state and local requirements such as StateRAMP, TX-RAMP, IRS Publication 1075 or CJIS You don't need to Have done everything on this list or worked every regime. The scarce combination is running a government authorization on its recurring cycle plus the judgment to tell whether a control actually works Write production code. The bar is fluency sufficient to read, query and challenge Hold every certification. CISSP, CISA, CGRC or similar are welcome and not required Have prior AI industry experience 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: $255,000 — $270,000 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 Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits. Responsibilities: Serve as the security policy partner for AI agent governance, authoring the policies and standards for how agents are built, deployed, operated Define review and approval criteria when an agent may interact with sensitive or regulated data, and which actions require human approval as it relates to compliance frameworks Serve as the GRC reviewer within existing engineering approval workflows Define data governance requirements for agents, including least-privilege access, access reviews, and handling of regulated and sensitive data Monitor agent behavior over time and adapt governance requirements in partnership with cross-functional security, research and engineering teams Map agent security and data controls to AI governance frameworks (e.g., ISO 27001, ISO 42001, EU AI Act), strengthening Anthropic's certification efforts ensuring agent security is auditable Assess and document agent-related security and compliance risks, driving them to resolution with engineering owners Own the policy for agent-related risk acceptances and exceptions, including approval authority, duration and re-review You may be a good fit if you: Have 8+ years in security governance, risk, and compliance, including ownership of security policies and control standards at a technology company Have owned or meaningfully supported efforts to compartmentalize sensitive data, PII, or intellectual property, and understand how identity and access mechanisms implement or undermine protection boundaries Think about non-human identities as a distinct risk and control category, and can design least-privilege access and accountability controls for systems acting on a person's behalf Can reason from a threat model to a control and explain the tradeoff to both an engineer and an auditor Have defined risk-based review or approval criteria within engineering workflows and kept them effective under high change velocity Deliver clear, precise written work for both technical and non-technical audiences Thrive in ambiguous environments with no settled industry playbook, where you're expected to propose the standard rather than wait for one Are energized by being the security and risk authority who educates and influences outcomes rather than only advises Strong candidates may also: Understand the security properties of LLM agents, whether from an AI, developer-platform, or agent-tooling company, or through comparable experience Bring familiarity with AI governance frameworks alongside traditional security frameworks Have adapted controls from regulated or highly sensitive environments to an open, high-trust engineering culture Possess relevant certifications (CISSP, CISM, CRISC, CISA, CCSP, ISO 27001 or ISO 42001 Lead Implementer/Auditor) Candidates need not have: Done everything on this list before. Very few people have governed AI agents at scale — we care more about how you reason about access, accountability, and blast radius than about a prior title. 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: $255,000 — $345,000 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: Erevan, Armenia; Brasília, Brazil; Bogotá, Colombia; central valley, Costa Rica; Santiago, Chile; Mexico; Lima, Peru; Manila, Philippines; Caracas, Venezuela, Bolivarian Republic of Workplace: remote We are looking for an experienced Business Development Representative (BDR) with a strong background in high-volume outbound cold calling to join a growing technology company serving the outdoor recreation market. This is a fully remote, outbound-focused sales role targeting small and medium-sized businesses across the U.S., working U.S. Eastern Time (EST) hours. The ideal candidate has hands-on experience making 100 or more cold calls per day, is confident speaking directly with business owners, and is persistent, self-motivated, and comfortable handling objections and rejection. You will introduce businesses to an advertising platform that helps them reach outdoor enthusiasts while they are planning and taking their trips. The primary goal is to generate qualified sales meetings through consistent outbound cold calling and follow-up. Responsibilities Make approximately 100 outbound cold calls per day to prospective U.S. businesses. Prospect small and medium-sized businesses through cold calling, email, and other outbound channels. Engage directly with business owners and marketing decision-makers who have not previously expressed interest in the platform. Target hotels, inns, restaurants, powersports dealers, rental operators, outfitters, attractions, retail shops, and other businesses serving outdoor travelers. Clearly communicate the platform's advertising value proposition, handle objections, and generate interest through cold conversations. Book qualified meetings for the sales team through outbound cold calling and consistent follow-up. Follow up with prospects generated through outbound campaigns, partnerships, marketing efforts, and inbound inquiries. Manage cold calls, outreach, follow-ups, conversations, and next steps in HubSpot. Consistently work toward daily cold-calling activity targets and weekly appointment-setting goals. Help identify effective cold-calling scripts, messaging, and outreach strategies across new markets and regions. Potentially take on more of the sales cycle as the company's sales process develops. 2+ years of hands-on outbound cold-calling experience in an SDR, BDR, inside sales, telemarketing, or appointment-setting role. Proven experience making approximately 100 or more outbound cold calls per day. Strong experience calling prospects who have not previously expressed interest in the product or service. Demonstrated experience generating qualified sales meetings directly through cold calling. Excellent conversational English with strong verbal communication skills and a natural, professional phone presence. Confidence speaking directly with local U.S. business owners and decision-makers. Strong objection-handling skills and the ability to remain persistent through rejection. Experience selling to small and medium-sized businesses is highly preferred. Background in advertising, digital marketing, SaaS, software, marketplace, or similar sales is preferred. Experience working toward daily outbound call targets and weekly or monthly appointment-setting goals. Comfortable working with a CRM such as HubSpot. Self-motivated and able to work independently in a fully remote environment. Persistent, organized, curious, and coachable. Must be available to work U.S. Eastern Time (EST) business hours. Comfortable working within a fast-moving, lean sales team.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an AV Engineer focused on Platform & Automation, you'll build and own the software layer of Anthropic's collaboration systems — the tools, integrations, and engineering practices that let a small AV team support a fast-growing global office portfolio. Our rooms, event spaces, and broadcast systems are increasingly managed through APIs and code: device management platforms, DSP and control systems, conferencing administration, ticketing, and paging. Your job is to turn that surface into reliable, team-owned tooling, and to bring software engineering discipline to how we build and maintain it. You can expect a lot of your time writing, shipping, and operating code — fleet health monitoring, automated room testing and ticketing, integrations between our AV platforms and IT systems, and the internal tools that AV Engineering, AV Operations, and Events rely on every day. You'll also help own the administration of the software platforms we already run, and set the standards for how the team version-controls, reviews, tests, releases, and maintains everything from DSP designs to firmware to internal services. Responsibilities Design, build, and ship internal tools and integrations that monitor, test, and manage AV and collaboration systems across every office Develop fleet health monitoring and automated room testing that catch failures before users report them and open actionable tickets automatically Build integrations across device and platform APIs — Q-SYS (including plugins and Lua control scripts), Logitech Sync, Google Meet hardware, digital signage; and IT systems such as Jira, Slack, PagerDuty, and Google Workspace Automate repetitive operational work: provisioning, configuration baselines, drift detection, certificate renewal, and asset data — with code others can read, test, and maintain Own administration and lifecycle of the software platforms behind the AV estate, including firmware and software release management with staged rollouts and rollback plans Operate internal tools as production services, with monitoring, alerting, service metrics, and runbooks, on team-owned repositories and service identities so nothing depends on one person Establish the team's engineering practices: source control, code review, testing, CI/CD, and release — and bring AV configuration under version control, with standards set for integrator deliverables and acceptance verified before changes land Enable AV Engineers, Operations Specialists, and Production staff to contribute safely through templates, guardrails, and review paths built for non-developers Partner with Security, IT Engineering, and Network on least-privilege API access, secrets management, and integration with enterprise standards Gather requirements from AV Operations, Events, and AV Engineering, prioritize the tooling roadmap by operational impact, and decide where to build, buy, or push a vendor to close a gap You May Be a Good Fit If You: Have 10+ years of experience across AV, collaboration, or IT systems engineering, including 4+ years writing, shipping, and maintaining production code that other people depend on Are fluent in at least one general-purpose language: Python, Lua, Go, TypeScript, or similar — and comfortable with shell scripting Practice engineering fundamentals by default: Git-based workflows, code review, automated testing, CI/CD, logging, and observability Understand how AV and collaboration systems work: DSP and control, conferencing platforms, room devices, signal flow, AV-over-IP — well enough to build reliable tools on top of them Have built integrations against REST APIs, webhooks, and vendor SDKs, and know how to handle auth, rate limits, pagination, retries, and partial failure Have owned a tool or service in production over time, not just written it, including fixing it when it broke and handing it off cleanly Have defined engineering practices for a team, especially one where most contributors aren't developers Turn operational pain into well-scoped tooling, and can say no to work that shouldn't be built Thrive in a fast-moving environment where standards are being written rather than inherited Strong Candidates May Also Have Experience With: Q-SYS Lua scripting and plugin development Logitech Sync and CollabOS, and Google Meet hardware administration through the Google Admin console and Admin SDK Google Workspace APIs, GCP (Cloud Run, Cloud Scheduler, Pub/Sub, Secret Manager), and Terraform or other infrastructure-as-code Jira, Slack, and PagerDuty APIs and automation Crestron, Extron, or other control system programming Dante, AES67, NDI, and network fundamentals for AV-over-IP, including multicast, VLANs, and QoS Building with LLMs — agentic automation, LLM-assisted internal tools, or MCP integrations Monitoring and alerting stacks such as Prometheus and Grafana, and containerized deployment Q-SYS Level 2, CTS, or equivalent demonstrated capability Role Specific Location Policy: This role will be based in our San Francisco or New York City office This role is expected to be in office 50% of the time Up to 4 weeks of domestic and international travel annually for platform rollouts, new-office readiness, and on-site testing Business-hours escalation coverage for the tools and platforms this role owns 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: Ontario, Canada 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 the Role We’re looking for a hands-on Senior Engineering Manager to lead the Core team behind dbt V2, dbt’s next-generation engine. This is a backfill role for an engineering leader who can combine strong software-engineering judgment with people leadership, product partnership, and the ability to navigate a highly cross-functional technical area. The Core team is responsible for building, maintaining, and evolving the Rust-based engine that powers dbt Fusion. The team primarily works on the dbt V2 runtime itself, SQL language features powered by Static Analysis, and new ELT primitives. The role sits at the center of several parts of the dbt product: the engine and orchestration, the IDE and developer experience, adapters and data warehouses, and our new compute offering, LakeCompute. You’ll help the team make sound technical and product decisions while keeping a stable GA product moving forward. About the Team The Core team is part of a broader organization that includes adapters, growth, the VS Code extension, compute, and other closely connected teams. It partners frequently with Product and with the teams responsible for orchestration, IDE experiences, adapters, and LakeCompute. In this role, you can expect to: Lead, coach, and develop a fluid team of approximately 8 engineers working on a critical part of the dbt product. Establish clarity across a technically demanding roadmap with multiple product and engineering stakeholders. Partner closely with Product to translate ambiguous requirements into realistic engineering scope, sequencing, and estimates. Help the team balance new feature development, engine maintenance, framework modernization, documentation, and the stability of a GA product. Guide end-to-end technical design across the engine and its integration points with orchestration, the IDE, adapters, warehouses, and late compute. Support engineers in making sound tradeoffs across product value, technical quality, performance, compatibility, and delivery risk. Actively contribute to technical design and implementation alongside the team. Work with peer engineering leaders to coordinate initiatives that span multiple teams and systems. Build an environment where engineers can do high-quality work, grow their scope, and take ownership of meaningful technical problems. Help shape the next phase of dbt Fusion as a language-aware transformation engine used by the broader data community. Mandatory skills Experience leading teams through multiple concurrent priorities and diverse integration points. Strong software-engineering fundamentals and prior experience as a senior/staff engineer, technical lead, or equivalent hands-on technical leader. Ability to lead or facilitate system design from problem definition through implementation and delivery. Ability to translate complex or ambiguous product requirements into credible engineering estimates, milestones, and tradeoffs. Demonstrated judgment in balancing roadmap delivery with reliability, maintainability, technical debt, and product quality. A hands-on technical orientation, including a willingness and ability to stay close to code and engineering details. You are a good fit if you have: Led a software team through the full development lifecycle: discovery, design, implementation, testing, release, operation, and iteration. Worked on products with substantial technical complexity, integration surfaces, or platform dependencies. Successfully partnered with Product and other engineering teams to create a stable roadmap and make difficult prioritization decisions. Experience in data transformation, orchestration, query engines, databases, developer tools, compilers, language tooling, or a closely related area. Direct dbt experience is helpful but not required. The ability to explain complex technical systems clearly to engineers, product partners, and candidates with different levels of technical depth. A track record of developing strong engineers while maintaining a high technical bar. Comfort operating in a fluid environment where team boundaries, priorities, and scope may evolve. You’ll have an edge if you have: Experience with Rust or another systems programming language, compilers, query planning, language servers, IDE tooling, or developer platforms. Experience building or operating data transformation, orchestration, warehouse, or execution systems. Contributions to open-source projects or experience working with open standards and open technical communities. Familiarity with ecosystems such as Apache Arrow, Apache Iceberg, DuckDB, ADBC, or related data and execution technologies. Experience with SQL semantics, query optimization, transpilation across dialects, data lineage, governance, or developer-facing language features. Experience working in a remote-first or distributed organization with strong written communication practices. Startup or scale-up experience and comfort wearing multiple hats while the organization evolves. 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. Ontario Pay Range $206,699 — $232,536.50 CAD 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: 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 the Role We’re looking for a hands-on Senior Engineering Manager to lead the Core team behind dbt V2, dbt’s next-generation engine. This is a backfill role for an engineering leader who can combine strong software-engineering judgment with people leadership, product partnership, and the ability to navigate a highly cross-functional technical area. The Core team is responsible for building, maintaining, and evolving the Rust-based engine that powers dbt Fusion. The team primarily works on the dbt V2 runtime itself, SQL language features powered by Static Analysis, and new ELT primitives. The role sits at the center of several parts of the dbt product: the engine and orchestration, the IDE and developer experience, adapters and data warehouses, and our new compute offering, LakeCompute. You’ll help the team make sound technical and product decisions while keeping a stable GA product moving forward. About the Team The Core team is part of a broader organization that includes adapters, growth, the VS Code extension, compute, and other closely connected teams. It partners frequently with Product and with the teams responsible for orchestration, IDE experiences, adapters, and LakeCompute. In this role, you can expect to: Lead, coach, and develop a fluid team of approximately 8 engineers working on a critical part of the dbt product. Establish clarity across a technically demanding roadmap with multiple product and engineering stakeholders. Partner closely with Product to translate ambiguous requirements into realistic engineering scope, sequencing, and estimates. Help the team balance new feature development, engine maintenance, framework modernization, documentation, and the stability of a GA product. Guide end-to-end technical design across the engine and its integration points with orchestration, the IDE, adapters, warehouses, and late compute. Support engineers in making sound tradeoffs across product value, technical quality, performance, compatibility, and delivery risk. Actively contribute to technical design and implementation alongside the team. Work with peer engineering leaders to coordinate initiatives that span multiple teams and systems. Build an environment where engineers can do high-quality work, grow their scope, and take ownership of meaningful technical problems. Help shape the next phase of dbt Fusion as a language-aware transformation engine used by the broader data community. Mandatory skills Experience leading teams through multiple concurrent priorities and diverse integration points. Strong software-engineering fundamentals and prior experience as a senior/staff engineer, technical lead, or equivalent hands-on technical leader. Ability to lead or facilitate system design from problem definition through implementation and delivery. Ability to translate complex or ambiguous product requirements into credible engineering estimates, milestones, and tradeoffs. Demonstrated judgment in balancing roadmap delivery with reliability, maintainability, technical debt, and product quality. A hands-on technical orientation, including a willingness and ability to stay close to code and engineering details. You are a good fit if you have: Led a software team through the full development lifecycle: discovery, design, implementation, testing, release, operation, and iteration. Worked on products with substantial technical complexity, integration surfaces, or platform dependencies. Successfully partnered with Product and other engineering teams to create a stable roadmap and make difficult prioritization decisions. Experience in data transformation, orchestration, query engines, databases, developer tools, compilers, language tooling, or a closely related area. Direct dbt experience is helpful but not required. The ability to explain complex technical systems clearly to engineers, product partners, and candidates with different levels of technical depth. A track record of developing strong engineers while maintaining a high technical bar. Comfort operating in a fluid environment where team boundaries, priorities, and scope may evolve. You’ll have an edge if you have: Experience with Rust or another systems programming language, compilers, query planning, language servers, IDE tooling, or developer platforms. Experience building or operating data transformation, orchestration, warehouse, or execution systems. Contributions to open-source projects or experience working with open standards and open technical communities. Familiarity with ecosystems such as Apache Arrow, Apache Iceberg, DuckDB, ADBC, or related data and execution technologies. Experience with SQL semantics, query optimization, transpilation across dialects, data lineage, governance, or developer-facing language features. Experience working in a remote-first or distributed organization with strong written communication practices. Startup or scale-up experience and comfort wearing multiple hats while the organization evolves. 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 $227,803.50 — $284,757.50 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.

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 the Role We’re looking for a hands-on Senior Engineering Manager to lead the Core team behind dbt V2, dbt’s next-generation engine. This is a backfill role for an engineering leader who can combine strong software-engineering judgment with people leadership, product partnership, and the ability to navigate a highly cross-functional technical area. The Core team is responsible for building, maintaining, and evolving the Rust-based engine that powers dbt Fusion. The team primarily works on the dbt V2 runtime itself, SQL language features powered by Static Analysis, and new ELT primitives. The role sits at the center of several parts of the dbt product: the engine and orchestration, the IDE and developer experience, adapters and data warehouses, and our new compute offering, LakeCompute. You’ll help the team make sound technical and product decisions while keeping a stable GA product moving forward. About the Team The Core team is part of a broader organization that includes adapters, growth, the VS Code extension, compute, and other closely connected teams. It partners frequently with Product and with the teams responsible for orchestration, IDE experiences, adapters, and LakeCompute. In this role, you can expect to: Lead, coach, and develop a fluid team of approximately 8 engineers working on a critical part of the dbt product. Establish clarity across a technically demanding roadmap with multiple product and engineering stakeholders. Partner closely with Product to translate ambiguous requirements into realistic engineering scope, sequencing, and estimates. Help the team balance new feature development, engine maintenance, framework modernization, documentation, and the stability of a GA product. Guide end-to-end technical design across the engine and its integration points with orchestration, the IDE, adapters, warehouses, and late compute. Support engineers in making sound tradeoffs across product value, technical quality, performance, compatibility, and delivery risk. Actively contribute to technical design and implementation alongside the team. Work with peer engineering leaders to coordinate initiatives that span multiple teams and systems. Build an environment where engineers can do high-quality work, grow their scope, and take ownership of meaningful technical problems. Help shape the next phase of dbt Fusion as a language-aware transformation engine used by the broader data community. Mandatory skills Experience leading teams through multiple concurrent priorities and diverse integration points. Strong software-engineering fundamentals and prior experience as a senior/staff engineer, technical lead, or equivalent hands-on technical leader. Ability to lead or facilitate system design from problem definition through implementation and delivery. Ability to translate complex or ambiguous product requirements into credible engineering estimates, milestones, and tradeoffs. Demonstrated judgment in balancing roadmap delivery with reliability, maintainability, technical debt, and product quality. A hands-on technical orientation, including a willingness and ability to stay close to code and engineering details. You are a good fit if you have: Led a software team through the full development lifecycle: discovery, design, implementation, testing, release, operation, and iteration. Worked on products with substantial technical complexity, integration surfaces, or platform dependencies. Successfully partnered with Product and other engineering teams to create a stable roadmap and make difficult prioritization decisions. Experience in data transformation, orchestration, query engines, databases, developer tools, compilers, language tooling, or a closely related area. Direct dbt experience is helpful but not required. The ability to explain complex technical systems clearly to engineers, product partners, and candidates with different levels of technical depth. A track record of developing strong engineers while maintaining a high technical bar. Comfort operating in a fluid environment where team boundaries, priorities, and scope may evolve. You’ll have an edge if you have: Experience with Rust or another systems programming language, compilers, query planning, language servers, IDE tooling, or developer platforms. Experience building or operating data transformation, orchestration, warehouse, or execution systems. Contributions to open-source projects or experience working with open standards and open technical communities. Familiarity with ecosystems such as Apache Arrow, Apache Iceberg, DuckDB, ADBC, or related data and execution technologies. Experience with SQL semantics, query optimization, transpilation across dialects, data lineage, governance, or developer-facing language features. Experience working in a remote-first or distributed organization with strong written communication practices. Startup or scale-up experience and comfort wearing multiple hats while the organization evolves. 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 $240,901 — $301,126.50 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.