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Location: Auckland, New Zealand About Intellect At Intellect, we’re a leading global mental health tech company in 100+ markets worldwide. We partner with employers, insurers, and governments to deliver coaching, counselling, and therapy services across Australia. We’re expanding our EAP provider network and hiring coaches, counsellors, and psychologists. Whether you’d like to supplement your private practice or take on a full-time career pathway, Intellect offers flexibility to fit your lifestyle. Why Join Us? Flexibility in employment models: freelance, contracted, part-time, or full-time — so you can maintain your own private caseload/clients while expanding with Intellect Competitive compensation & attractive perks Minimal admin burden — we handle scheduling, billing, client matching Regular supervision & CPD included Diverse client base — from local employees to regional/global Fortune 500 companies Additional opportunities: CISP (Critical Incident Stress Programme), webinars, in-person seminars, clinical leadership Inclusive and diverse environment — we welcome professionals from all backgrounds and are committed to fostering belonging and representation across our global community What You’ll Do Provide 1:1 telehealth and/or onsite coaching, counselling, or therapy-style consultations, offering general advice only (not treatment) Deliver CISP (Critical Incident Stress Programme) virtually or onsite as needed Facilitate webinars and in-person seminars (optional) Support employees with wellbeing, stress, and resilience Collaborate with Intellect’s internal clinical team to improve EAP programs Requirements Counsellors: Master’s in Counselling Active membership/registration with NZAC. Clinical Psychologists: Master’s in Clinical Psychology from an APAC-accredited program General registration with the NZ Psychologists Board (HPCA Act) to practice psychology​ Area of Practice Endorsement in Clinical Psychology preferred (or in progress via Registrar Program) Nice to Haves Background in managerial or leadership support (e.g., coaching managers, HR advisory) Prior EAP or workplace counselling experience Additional languages Flexibility for occasional onsite sessions Let’s Talk This is more than a job. It’s your chance to: Work with a global provider network Broaden your clientele base beyond local users Grow your career outside of sessions through research, content, and webinars Access supervision & CE most EAPs don’t provide If you’re ready to make a meaningful impact and expand your practice with flexibility, we’d love to hear from you.  Apply today and join Intellect in transforming workplace mental health across the country and beyond.

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 a Nonprofit Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic partnerships with nonprofit organizations. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to nonprofit leaders, helping them embed and deploy AI to amplify their impact across program delivery, fundraising, research, and operations. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the nonprofit landscape. The ideal candidate will be an exceptional salesperson with a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products in the nonprofit sector, you will help organizations amplify their social impact while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within nonprofit organizations. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases within nonprofit program departments, development offices, research centers, and administrative functions. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge Navigate complex stakeholder ecosystems including executive directors, board members, program officers, IT departments, and procurement committees to build consensus and secure strategic deals Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency Build strategic relationships with nonprofit technology platforms, consultants, and sector influencers to expand market reach and create partnership opportunities You may be a good fit if you have: 3+ years of experience prospecting and closing leads, driving adoption of emerging technologies with a consultative, solutions-oriented sales approach Familiarity working within complex sales cycles, selling to technical and non-technical stakeholders, and securing strategic deals by understanding multifaceted requirements and crafting tailored solutions Success as a strategic business advisor, deeply understanding customer needs and creating innovative solutions that align with their vision and help them succeed Exposure to negotiating complex, customized commercial agreements with multiple stakeholders Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities Interest in or passion for social impact and mission-driven work. You feel strongly about ensuring frontier AI systems are developed safely and ethically Strong candidates may also have: Experience selling to or working with nonprofit organizations, foundations, or government agencies Understanding of nonprofit operations, including budget cycles, grant funding, and procurement processes Familiarity with nonprofit technology ecosystems, including CRMs (Salesforce NPSP, Blackbaud), fundraising platforms, and program management tools Active involvement in the nonprofit community through board service, volunteering, or prior employment Experience navigating procurement frameworks with budget constraints and multiple approval layers Track record of building strategic partnerships with foundations or corporate giving programs Understanding of specific nonprofit verticals (healthcare, education, human services, environment, arts & culture) 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: $290,000 — $380,000 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: Warsaw; Tbilisi; Chișinău; Minsk Workplace: hybrid 🚀What You'll Do Translate business objectives and regulatory requirements into scalable technical solutions. Define and execute product strategy, write technical specifications, manage product roadmaps. Collaborate closely with legal and compliance teams to ensure secure and compliant product delivery. Enhance compliance and fraud-detection systems with advanced analytics and machine learning. Oversee agile development processes - writing user stories, managing sprints, and driving continuous delivery with engineering. Support the design, development, and delivery of complex, backend‑intensive systems. Integrate machine learning and data-driven vision into the overall team and company strategy, fostering innovation and alignment. 🛠 Tech Stack Tools: Jira, Confluence, Amplitude Backend: Golang, .NET, Python Cloud & Infrastructure: AWS (EKS, Kafka, SQS), Kubernetes, Prometheus/Grafana Data & ML: Supervised learning models, ETL pipelines, search technologies 🔍 We're Looking For 7+ years of experience in product management or technical product roles. Strong product discovery and problem framing skills. Experience building products in risk , fraud detection, compliance, or security domains. Experience leading cross-functional teams and delivering through the full product lifecycle. Good knowledge of Agile methodologies (Scrum, Kanban); experience leading cross-functional Agile teams. Proficient in working with APIs, SQL, data pipelines, and basic technical specs. Strong communication skills (English C1+) 🌟 It would be a plus Understanding of fraud vectors, mitigation strategies, and compliance requirements (e.g., KYC, AML, OFAC, GDPR). Familiarity with regulatory landscapes in fintech, payments, or identity verification. Familiarity with tools like Jira, Confluence, Looker, Amplitude, or similar. Familiarity with Go, .NET, or Python 🌟 What We Offer Remote b2b (Georgia/Poland) or hybrid/on-site / remote (Belarus/Moldova) work opportunity! Stable job with long-term growth perspective. Competitive salary with annual performance review. Top-tier hardware to support your productivity. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training, seminars, and conferences. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. More perks for the Minsk and Chisinau office employees.

Location: Salt Lake City, Utah, United States About the Role iCapital is seeking an Associate to join the Platform Operations team. This role sits at the center of iCapital's mission, focusing on enhancing operational scalability, driving innovation, and ensuring the delivery of exceptional support experiences to iCapital clients and partners. This individual will become an expert and advisor on the iCapital platform while striving for operational excellence. The ideal candidate will build strong client relationships and become a strategic problem solver together with team Leads and Associates. This role is highly collaborative, with a strong focus on improving iCapital’s clients' overall satisfaction and operational processes as a team. Responsibilities Develop an in-depth understanding of all interfaces on the iCapital platform, ensuring the seamless launch of fund launches, recurring client activities, and ongoing health of our alternative clients with key relationships with wirehouses, RIAs, and IBDs. Execute end-to-end technical and operations deliverables on recurring platforms, manage daily workflows to ensure consistent, high-quality service delivery, and maintain a client-first approach in all operational activities. Partner closely with Product and Technology teams to investigate platform behavior, troubleshoot complex issues, and support root-cause analysis across workflows, integrations, and data dependencies. Operate confidently within technical systems and tools that support the iCapital platform, including configuration management, workflow logic, and issue triage across multiple platform interfaces. Act as the primary contact for clients, managing inquiries and optimizing their platform experience while also prioritizing and categorizing requests for efficient resolution. Meet and exceed service level agreements and performance targets through effective queue management. Work with internal teams to escalate and resolve high-priority issues, ensuring quick resolution. Enhance and maintain product documentation and internal resources to support platform users. Maintain fund collateral and offerings to keep the platform updated with varying alternative investment products. Qualifications 2-5+ years of experience in a client-facing role within the finance industry Bachelor’s degree is required Experience analyzing complex technical problems, breaking them down into actionable steps and driving them toward a resolution Able to thrive in a fast-paced, dynamic environment, demonstrating flexibility and the ability to quickly adjust to new challenges and priorities Proactive team member who seeks ways to improve client satisfaction and operational efficiency, contributing positively to our team culture and client success Experience with support ticketing tools and a strong foundation in technical troubleshooting with the ability to take a patient and client-centric approach to delivering technical and platform support Strong verbal and written interpersonal skills with the ability to explain complex concepts to clients and internal parties with limited knowledge of the topic Able to convey complex concepts clearly and concisely to a diverse audience High attention to detail with the ability to manage complex workflows, identify discrepancies, and ensure accuracy across platform operations and client deliverables Self-starter with a strong sense of ownership; able to work independently, prioritize effectively, and proactively drive issues through resolution Strong technical aptitude, including comfort working “under the hood” of platforms to understand system behavior, workflows, and dependencies Ability to analyze technical and operational issues using structured problem-solving, including reviewing data, logs, or system outputs to identify root causes Comfort translating technical concepts and platform behavior into clear, actionable explanations for both clients and non-technical internal partners Benefits The base salary range for this role is $70,000 to $85,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Team Product managers at OKX are the CEOs of their areas of focus. We develop growth-focused product strategies, manage cost/profitability and then deliver powerful strategies that guide customers through simple transaction workflows. We are building an integrated and beautiful crypto-finance experience for mobile and web. Product managers collaborate across business units and align user research, design and UX writing, brand and marketing, technical project management and engineering, testing, data, compliance and legal teams. We are a multi-cultural and decentralized team with a deep passion for bitcoin, crypto and Defi. We are objective oriented and everyone contributes to data analysis to drive business growth. About the Opportunity As the Product Manager, you will be responsible to discover new markets and revenue opportunities and innovate new products to address the market needs. Act as an internal champion to build consensus and influence senior management for new product ideas. Identify, define, implement and instrument market research, product design, product implementation and product release processes. Define, build and scale OKX's payment systems that powers money movement globally to help our customers gain access to a wide array of crypto assets. The scope of this role includes defining & managing product roadmaps, features including user experience and end to end integration with local & international payment providers while proactively managing the risk associated with your product. Tracking KPIs and driving growth of your product features is at the core of PM’s at OKX, while collaborating with multiple key stakeholders like designers, engineering, legal, risk, compliance, marketing, customer support & finance across the organization and get them aligned on your product roadmap and deliverables. You’ll be joining our growing product team to help define the future of our company and product. If you are an entrepreneurial product leader, who doesn’t hesitate to propose bold ideas and roll up your sleeves to put them into action, this role will be a great fit for you. What You'll Be Doing Be the owner of your payment products (ACH, Cards, Wire, SEPA, FAST, PIX, etc), you truly own it! Define & drive every aspect of your product from developing the roadmap/backlogs/iterations in order to hit your goals & KPIs Outline features, technical integration requirements, work with your squad of product designers, content writers, data analysts and engineers to bring your product to life You verify your squad deliverables, align your customer support teams including all key stakeholders for any feature release/announcements to your retail users Manage your product dashboard by tracking all your product data metrics Drive adoption, usage of your products working closely with marketing, risk teams, keep close eye on customer frictions and voice of customer to optimize your product experience Ensure that there are effective internal tools in place for any new product launch What We Look For In You Product management experience in the payments space with past experience in payments clearing, settlement and fiat custody Visionary for trending and future crypto market needs and payments industry changes Product innovator that can achieve business goals with unique product offering and business models Previous experience designing and building payments systems and understanding of risk management associated with these payment options Entrepreneurial mindset: Experience working in a fast-paced environment with competing resources and priorities. Opinionated and willing to make calls with limited information. Ability to navigate through ambiguity to advocate for resources Excellent written and verbal communications skills; ability to translate strategy into clear and actionable plans for product development, engineering, design and marketing Technical, comfortable with delving into the product, the platform and the implementation details. Able to engage with engineering beyond just product and user experience needs; willing to roll up sleeves and design scalable and extensible solutions Metrics driven with proficiency in identifying, defining, tracking and acting upon metrics Experience identifying KPIs and working with engineering and analytics on instrumentation and monitoring Familiarity with cryptocurrency exchanges and passion for crypto and blockchain innovations Bachelor's degree in Computer Science, Engineering, or a related technical discipline Nice to Haves Past experience working with payments systems or crypto platforms is strongly preferred Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-WWW #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Lehi Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive. Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue. Grow With Us Are you passionate about connecting businesses with game-changing technology? Do you thrive in a high-growth, fast-paced environment where you can lead by example while driving impactful results? We are looking for an Account Executive to spearhead our sales efforts, focusing on small and medium-sized businesses (SMBs). You will play a crucial role in Workstream’s sales strategy by booking partner meetings, prospecting new franchisee clients, conducting new franchisee sales presentations and demonstrations, negotiating new franchisee contracts, and closing new franchisee deals. Work Environment Fully onsite, office-based role (5 days a week), designed to support close collaboration with the sales team and cross-functional partners. Being in the office enables faster decision-making, stronger team alignment, and real-time collaboration essential for building and scaling our sales motion. Fast-paced, collaborative sales floor environment Daily in-person interaction with Sales, Marketing, and Leadership teams Day In The Life Account Development: Build and maintain strong relationships with prospects and customers, understanding their business needs to position our SaaS solutions effectively Pipeline Management: Drive the end-to-end sales process, from lead generation and qualification to negotiation and closing deals, ensuring an accurate and healthy pipeline Performance Tracking: Monitor sales KPIs and deliver regular performance updates, using data to drive decision-making and continuous improvement Market Insights: Stay informed about industry trends, competitor activities, and SMB market challenges to adapt strategies and position our offerings as the preferred choice Cross-Functional Collaboration: Work closely with Marketing, Product, and Customer Success teams to align on goals, share feedback, and deliver exceptional customer experiences Team Building: Assist in recruiting, training, and onboarding new sales team members to cultivate a high-performing sales culture Who You Are 2+ years of SaaS sales experience, with a proven track record in SMB markets and sales Demonstrated ability to achieve and exceed targets Strong business acumen and understanding of SMB challenges and needs Excellent communication, negotiation, and presentation skills Data-driven mindset with proficiency in CRM tools (e.g., Salesforce, HubSpot) and sales analytics Self-starter with a growth mindset and the ability to thrive in a fast-paced, entrepreneurial environment Able and committed to working onsite in the office five days a week What We Offer A mission-driven and value-based company dedicated to empower deskless workers and local businesses An early employee opportunity at a Series B hyper-growth startup; work with the founding team and industry veterans to accelerate your career Competitive salary and equity Comprehensive health coverage: Medical, dental, and vision plans, with 100% employer-paid employee-only coverage available on select plans. Dependent coverage options vary by health plan. In office amenities and stocked kitchen 401K Plan Flexible PTO Salary Range In compliance with the California Pay Transparency Law, the salary for this role is $100,000 to $150,000 OTE with a 50/50 base/commission in Utah. This range is not inclusive of our equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data. Know More About Workstream https://www.workstream.us/blog/funding-series-b https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/ https://techbuzz.news/buzzworthy-august-27-2021/ Additional Information Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We are committed to the full inclusion of all qualified individuals.

Location: Germany About the Client Our client is a fast-growing SaaS company simplifying and digitizing the CFO’s office. They partner with thousands of corporates and SMEs globally and have consistently achieved strong double-digit growth over the past three years. The business is now scaling internationally, with recent expansion into the Middle East, Southeast Asia, and Europe, and they are looking for builders who can support this global vision. Our Client’s Vision for Europe: Our client is expanding in the European market very aggressively, with >$3 Mn investment being parked and approved for the European market to sustain the early years. Our client aspires to build north of 20 Mn USD revenue in the next 2-3 years across Europe. The plan in Europe is to land with E-invoicing product (which is a global trend) in Belgium and then expand to other countries, with France, Poland, Germany and Spain being countries of immediate focus. About the Role: As one of the first SDR hires in the European expansion, you’ll play a foundational role in driving revenue growth in the German market. This is a high-impact opportunity to build a strong sales pipeline from the ground up and shape our go-to-market strategy. In this role, you won’t just rely on inbound leads—you’ll be at the forefront of outbound prospecting, engaging decision-makers, and creating opportunities with top enterprises across Europe. As an early team member, you’ll have the chance to work closely with sales leadership, gain deep exposure to enterprise SaaS selling, and fast-track your career growth. If you’re looking for an exciting challenge, a meritocratic culture, and the chance to be part of a high-growth European GTM journey from day one—this is where you need to be. Responsibilities (What you'll be expected to do): Generate qualified opportunities for the company by rigorously prospecting and researching (outbound) in German Markets Do rigorous research on companies, and build an effective sales pipeline by effective prospecting and lead follow ups Strike and initiate conversations with our personas: CFOs, CIOs, Finance head, Tax Head, IT Heads Come up with creative/personalized emails and campaigns on Emails/LinkedIn/Calling etc to draw the attention of prospects Be the face of the company and pitch our products to the prospects Constantly update details of lead, your discussion and activity in CRM Generate leads and build relationships by nurturing warm prospects and finding new potential sales opportunities Schedule and coordinate meetings between qualified leads and sales representatives Refine outreach strategies, and learn about the solution to be more effective Requirements Language Proficiency: Native/Bilingual German and Professional Level English 1-2 years of minimum experience in doing Outbound Cold Calling for German Markets Experience in working with IT/Software Organizations or selling software's Hustle attitude, with curiosity to learn new things is a must Strong verbal and written communication skills Working knowledge of Salesforce (Or any other CRM) is good to have Benefits What's In It For You: Remote Opportunity Lucrative Compensation & Competitive Perks Be a part of a 0-1 Journey as a Founding SDR Opportunity to evolve yourself as one of the Business Leaders

Location: Germany About the Client Our client is a fast-growing SaaS company simplifying and digitizing the CFO’s office. They partner with thousands of corporates and SMEs globally and have consistently achieved strong double-digit growth over the past three years. The business is now scaling internationally, with recent expansion into the Middle East, Southeast Asia, and Europe, and they are looking for builders who can support this global vision. Our Client’s Vision for Europe: Our client is expanding in the European market very aggressively, with >$3 Mn investment being parked and approved for the European market to sustain the early years. Our client aspires to build north of 20 Mn USD revenue in the next 2-3 years across Europe. The plan in Europe is to land with E-invoicing product (which is a global trend) in Belgium and then expand to other countries, with France, Poland, Germany and Spain being countries of immediate focus. Responsibilities: Build a deep understanding of the company's products and position it as the partner of choice for CFOs and finance leaders in large enterprises. Drive new logo acquisition through strategic outbound, partner networks, and referrals. Navigate enterprise sales cycles end-to-end — from first conversation to signature — engaging with multiple stakeholders across functions. Build compelling business cases and tailored value propositions to solve critical tax and compliance problems. Negotiate and close enterprise contracts efficiently while ensuring predictable revenue realization. Maintain high-quality CRM hygiene for accurate forecasting and pipeline visibility. Requirements Native German speaker with business-level English Minimum 3+ years of enterprise B2B SaaS / Fintech / Tax / Compliance sales experience Proven success in acquiring new enterprise customers and exceeding quota Strong network and credibility in the German enterprise landscape Excellent communication, storytelling, and negotiation skills at C-suite level Willingness to travel frequently for face-to-face enterprise engagements Ambitious, strategic mindset — excited by the potential to scale into country leadership Benefits Join a global Series C SaaS company backed by world-class investors and IPO-bound in 3 years Sell into a high-growth European market with strong product-market fit Competitive compensation and performance-based upside Fast-track your career towards senior commercial or country leadership roles Be part of a high-impact, global team transforming how enterprises manage tax and compliance

Location: San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC 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 At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. That's why we are seeking an exceptional Detection and Response engineer that will be on the frontlines to build solutions to monitor for threats, rapidly investigate incidents, and coordinate response efforts with other teams. In this role, you will have the opportunity to shape our security capabilities from the ground up alongside our world-class research and security teams. Responsibilities: Lead cybersecurity Incident Response efforts covering diverse domains from external attacks to insider threats involving all layers of Anthropic’s technology stack Develop and deploy novel tooling that may leverage Large Language Models to enhance detection, investigation, and response capabilities Create and optimize detections, playbooks, and workflows to quickly identify and respond to potential incidents Review Incident Response metrics and procedures and drive continuous improvement Work cross functionally with other security and engineering teams Note: This position will require participation in an on-call rotation You may be a good fit if you: 3+ years of software engineering experience, with security experience a plus and/or 5+ years of detection engineering, incident response, or threat hunting experience A solid understanding of cloud environments and operations Experience working with engineering teams in a SaaS environment Exceptional communication and collaboration skills An ability to lead projects with little guidance The ability to pick up new languages and technologies quickly Experience handling security incidents and investigating anomalies as part of a team Knowledge of EDR, SIEM, SOAR, or related security tools Strong candidates may also have experience with: Experience performing security operations or investigations involving large-scale Kubernetes environments A high level of proficiency in Python and query languages such as SQL Experience analyzing attack behavior and prototyping high quality detections Experience with threat intelligence, malware analysis, infrastructure as code, detection engineering, or forensics Experience contributing to a high growth startup environment Deadline to apply: None. Applications will be reviewed 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: $300,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? As a Mid-Market Account Executive, you will be a key member of the team leading the growth of our new business. We’re building a world-class sales organization, and the road ahead is going to be very exciting. At Fin, we are striving to do sales differently. We are asking our customers to put Fin at the core of their businesses, and we can only do this by putting them at the core of ours. We strongly believe in the overall growth and continued development of each new hire. In joining the Account Executive team at Fin, you join a community that believes in development and promotion from within. As a rapidly expanding business, there is a high degree of opportunity for progression, creativity, and ownership. What will I be doing? Evangelize our product by spearheading the growth and adoption of Fin across our Mid-Market segment Manage the full sales cycle for Fin's Mid Market customers, from prospecting to close, through a consultative sales approach Provide timely and accurate forecasts and clear visibility on revenue performance Maintain up-to-date knowledge of our evolving products and processes Create your own demonstrations, tailored to client needs Engage in team development and mentoring Represent the voice of the customer to cross-functional partners, including Marketing and Product Contribute to the overall growth of the global Enterprise business, pioneering new best practices and driving projects to up level the team What skills do I need? 5+ years experience as an Account Executive 3+ years of SaaS experience selling similar products Strong sales instincts and track record hitting and exceeding quota Exceptional written and verbal communication Fluent German (Business Level) Comfortable and energized operating and problem-solving in a fast-moving organization, working inbound and outbound opportunities across a range of industries and company sizes Ability to close net new business in a competitive landscape Exhibits a growth mindset, intellectual curiosity, and ambition Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: San Francisco, CA | New York City, NY; San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems. This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems. We're looking for someone who can operate with high agency in an ambiguous environment—someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery. No ML or Research experience is required Responsibilities Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient Create reusable platforms and tools that accelerate the development of new research applications Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration Contribute to technical strategy and architectural decisions for research tooling Mentor other engineers and help establish best practices for research application development You may be a good fit if you Have 5+ years of software engineering experience with a strong focus on full-stack development Excel at rapid iteration and shipping—you can move from concept to working prototype quickly Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.) Demonstrate high agency and ability to operate independently in ambiguous environments Can quickly develop deep understanding of complex technical domains Have strong product instincts and can identify the right problems to solve Are proficient with modern web technologies (React, TypeScript, Python, etc.) Have a track record of building user-facing applications that are actually used and loved by their target audience Communicate effectively with both technical and non-technical stakeholders Care about the societal impacts of your work and are motivated by Anthropic's mission Strong candidates may also have Experience building research tools, scientific software, or experimentation platforms Background in machine learning, AI research, or working closely with ML researchers Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools Built open-source tools or platforms with active user communities Experience with data visualization, interactive interfaces, or novel interaction paradigms Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products) Experience leveraging AI/LLMs to build more powerful or efficient tools Previous work in creative tools, artist tools, or other domains requiring deep user empathy Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment Representative projects Building interfaces for collecting and managing human feedback on model outputs at scale Creating experiment orchestration platforms that make it easy to launch, monitor, and analyze complex research runs Developing visualization tools that help researchers understand model behavior and identify failure modes Designing reusable components and frameworks that enable rapid development of new research applications Building sandboxed execution environments for safely running AI-generated code 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: $300,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA 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: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. We’re looking for researchers and engineers to join our efforts. People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using “microscopes” we build, or as treating neural networks as binary computer programs we're trying to "reverse engineer". A few places to learn more about our work and team at a high level are this introduction to Interpretability from our research lead, Chris Olah ; a discussion of our work on the Hard Fork podcast produced by the New York Times, and this blog post (and accompanying video) sharing more about some of the engineering challenges we’d had to solve to get these results. Some of our team's notable publications include A Mathematical Framework for Transformer Circuits , In-context Learning and Induction Heads , Toy Models of Superposition , Scaling Monosemanticity , and our Circuits’ Methods and Biology papers. This work builds on ideas from members' work prior to Anthropic such as the original circuits thread , Multimodal Neurons , Activation Atlases , and Building Blocks . We aim to create a solid foundation for mechanistically understanding neural networks and making them safe (see our vision post ). In the short term, we have focused on resolving the issue of "superposition" (see Toy Models of Superposition , Superposition, Memorization, and Double Descent , and our May 2023 update ), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent work found millions of features in Sonnet, one of our production language models, represents progress in this direction. In our most recent work, we develop methods that allow us to build circuits using features and use this circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks. We often collaborate with teams across Anthropic, such as Alignment Science and Societal Impacts to use our work to make Anthropic’s models safer. We also have an Interpretability Architectures project that involves collaborating with Pretraining. Responsibilities: Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights Design and run robust experiments, both quickly in toy scenarios and at scale in large models Create and analyze new interpretability features and circuits to better understand how models work. Build infrastructure for running experiments and visualizing results Work with colleagues to communicate results internally and publicly You may be a good fit if you: Have a strong track record of scientific research (in any field), and have done some work on Interpretability Enjoy team science – working collaboratively to make big discoveries Are comfortable with messy experimental science. We're inventing the field as we work, and the first textbook is years away You view research and engineering as two sides of the same coin. Every team member writes code, designs and runs experiments, and interprets results You can clearly articulate and discuss the motivations behind your work, and teach us about what you've learned. You like writing up and communicating your results, even when they're null To learn more about the skills we look for and how to prepare for this role, see our blog post – So You Want to Work in Mechanistic Interpretability? Familiarity with Python is required for this role. Role Specific Location Policy: This role is based in San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case 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: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Note: we don't have open Research Manager positions on the Interpretability team at this time. However, we're actively growing our team of Research Engineers and Research Scientists . If you're excited about interpretability research and open to an individual contributor role, we encourage you to apply. About the Interpretability team When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team’s mission is to reverse engineer how trained models work, and Interpretability research is one of Anthropic’s core research bets on AI safety. We believe that a mechanistic understanding is the most robust way to make advanced systems safe. People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks, or as treating neural networks as binary computer programs we're trying to "reverse engineer". We aim to create a solid scientific foundation for mechanistically understanding neural networks and making them safe (see our vision post ). We have focused on resolving the issue of "superposition" (see Toy Models of Superposition , Superposition, Memorization, and Double Descent , and our May 2023 update ), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent work which found millions of features in Claude 3.0 Sonnet, one of our production language models, represents progress in this direction. In our most recent work , we developed methods that allow us to build circuits using features and use these circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Claude Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks. A few places to learn more about our work and team are this introduction to Interpretability from our research lead, Chris Olah, Stanford CS25 lecture given by Josh Batson, and TWIML AI podcast with Emmanuel Ameisen. Some of our team's notable publications include and our Circuits’ Methods and Biology papers, Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet , Towards Monosemanticity: Decomposing Language Models With Dictionary Learning , A Mathematical Framework for Transformer Circuits , In-context Learning and Induction Heads , and Toy Models of Superposition . This work builds on ideas from members' work prior to Anthropic such as the original circuits thread , Multimodal Neurons , Activation Atlases , and Building Blocks . About the role As a manager on the Interpretability team, you'll support a team of expert researchers and engineers who are trying to understand at a deep, mechanistic level, how modern large language models work internally. Few things can accelerate this work more than great managers. Your work as manager will be critical in making sure that our fast-growing team is able to meet its ambitious safety research goals over the coming years. In this role, you will partner closely with an individual contributor research lead to drive the team's success, translating cutting-edge research ideas into tangible goals and overseeing their execution. You will manage team execution, careers and performance, facilitate relationships within and across teams, and drive the hiring pipeline. If you're more interested in making individual direct technical contributions to our research as the primary focus of your role, feel free to apply to our Research Scientist or Research Engineer roles instead. Key responsibilities Partner with a research lead on direction, project planning and execution, hiring, and people development Set and maintain a high bar for execution speed and quality, including identifying improvements to processes that help the team operate effectively Coach and support team members to have more impact and develop in their careers Drive the team's recruiting efforts, including hiring planning, process improvements, and sourcing and closing Help identify and support opportunities for collaboration with other teams across Anthropic Communicate team updates and results to other teams and leadership Maintain a deep understanding of the team's technical work and its implications for AI safety You may be a good fit if you Are an experienced manager (minimum 2-5 years) with a track record of effectively leading highly technical research and/or engineering teams Have a background in machine learning, AI, or a related technical field Actively enjoy people management and are experienced with coaching and mentorship, performance evaluation, career development, and hiring for technical roles Have strong project management skills, including prioritization and cross-functional coordination and collaboration Have managed technical teams through periods of ambiguity and change Are a quick learner, capable of understanding and contributing to discussions on complex technical topics and are motivated to learn about our research Are a strong communicator both in speaking and in writing Believe that advanced AI systems could have a transformative effect on the world, and are passionate about helping make sure that transformation goes well Strong candidates may also have Experience scaling engineering infrastructure Experience working on open-ended, exploratory research agendas aimed at foundational insights Some familiarity with our work and mechanistic interpretability Role-Specific Location Policy This role is expected to be in our SF office for 3 days a week. 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: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. Think of us as doing "neuroscience" of neural networks using "microscopes" we build - or reverse-engineering neural networks like binary programs. More resources to learn about our work: Our research blog - covering advances including Monosemantic Features and Circuits An Introduction to Interpretability from our research lead, Chris Olah The Urgency of Interpretability from CEO Dario Amodei Engineering Challenges Scaling Interpretability - directly relevant to this role 60 Minutes segment - Around 8:07, see a demo of tooling our team built New Yorker article - what it's like to work on one of AI's hardest open problems Even if you haven’t worked on interpretability before, the infrastructure expertise is similar to what's needed across the lifecycle of a production language model: Pretraining: Training dictionary learning models looks a lot like model pretraining - creating stable, performant training jobs for massively parameterized models across thousands of chips Inference: Interp runs a customized inference stack. Day-to-day analysis requires services that allow editing a model's internal activations mid-forward-pass - for example, adding a "steering vector" Performance: Like all LLM work, we push up against the limits of hardware and software. Rather than squeezing the last 0.1%, we are focused on finding bottlenecks, fixing them and moving ahead given rapidly evolving research and safety mission The science keeps scaling - and it's now applied directly in safety audits on frontier models, with real deadlines. As our research has matured, engineering and infrastructure have become a bottleneck. Your work will have a direct impact on one of the most important open problems in AI. Responsibilities: Build and maintain the specialized inference and training infrastructure that powers interpretability research - including instrumented forward/backward passes, activation extraction, and steering vector application Resolve scaling and efficiency bottlenecks through profiling, optimization, and close collaboration with peer infrastructure teams Design tools, abstractions, and platforms that enable researchers to rapidly experiment without hitting engineering barriers Help bring interpretability research into production safety audits - with real deadlines and high reliability expectations Work across the stack - from model internals and accelerator-level optimization to user-facing research tooling You may be a good fit if you: Have 5-10+ years of experience building software Are highly proficient in at least one programming language (e.g., Python, Rust, Go, Java) and productive with Python Are extremely curious about unfamiliar domains; can quickly learn and put that knowledge to work, e.g. diving into new layers of the stack to find bottlenecks Have a strong ability to prioritize the most impactful work and are comfortable operating with ambiguity and questioning assumptions Prefer fast-moving collaborative projects to extensive solo efforts Are curious about interpretability research and its role in AI safety (though no research experience is required!) Care about the societal impacts and ethics of your work Are comfortable working closely with researchers, translating research needs into engineering solutions. Strong candidates may also have experience with: Optimizing the performance of large-scale distributed systems Language modeling fundamentals with transformers High Performance LLM optimization: memory management, compute efficiency, parallelism strategies, inference throughput optimization Working hands-on in a mainstream ML stack - PyTorch/CUDA on GPUs or JAX/XLA on TPUs Collaborating closely with researchers and building tooling to support research teams; or directly performed research with complex engineering challenges Representative Projects: Building Garcon , a tool that allows researchers to easily instrument LLMs to extract internal activations Designing and optimizing a pipeline to efficiently collect petabytes of transformer activations and shuffle them Profiling and optimizing ML training jobs, including multi-GPU parallelism and memory optimization Building a steered inference system that applies targeted interventions to model internals at scale (conceptually similar to Golden Gate Claude but for safety research) Role Specific Location Policy: This role is based in the San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case 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: $315,000 — $560,000 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: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role You’ll lead the team responsible for Vercel’s CDN, proxy, and edge caching systems—the core infrastructure that powers performance, reliability, and cost efficiency for every customer request at Vercel. Your mandate is twofold: Operate critical systems exceptionally (latency, reliability, COGS), and align the team to product and business goals, translating strategy into a clear roadmap. You will set direction, grow people, and create the conditions for high trust, high autonomy, and high output—balancing technical depth with strong people leadership. This is a manager role, not a principal IC role. You’ll code when it’s the highest leverage (e.g., prototypes/unblocking), but your default is delegation, coaching, and alignment. What you need 8+ years building and operating large-scale distributed systems 3+ years managing engineers (managing managers is a plus) Demonstrated success leading CDN/proxy/caching/edge or similar high-throughput, low-latency infrastructure Proven ability to translate business goals into technical strategy and drive cross-org alignment Track record establishing trust, psychological safety, and clear expectations; skilled at timely, candid feedback Strong facilitator in technical conflict—you listen, synthesize, decide, and bring the team with you Competence across HTTP, TLS, caching strategies, load shedding, capacity planning, observability, and cost optimization Bonus if you Have experience with Go, Lua, or Node at the edge; running high-signal hiring pipelines Collaborating with product/PMM on customer-facing narratives. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $196,000.00 - $336,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring engineering leaders to work across the breadth of our Ubuntu Engineering organisation -  leaders who care deeply for quality, performance and resilience in software, and have a proven track record for building, nurturing and developing high performing engineering teams. This leadership track includes roles for managers and Senior+ engineers alike. At Canonical, managers are expected to stay technical and close to the code, and our Senior+ engineers lead and develop software projects, as well as the processes and people around them. Our teams integrate the freshest open source software, provide robust upgrade paths and engineer the future of Ubuntu. Ubuntu is not just the world’s most deployed open source operating system, it's a platform that enables innovation for millions of users across the globe. Our community represents the full breadth of the developer experience; from students, hobbyists and freelancers to high performance engineering and creative teams in corporate and academic environments. The four key teams that ship Ubuntu are the Foundations : maintaining foundational software: architectures, package managers, compilers, toolchains, bootloaders, filesystems and core utilities Server: leading the design, evolution and future of our Ubuntu Server distribution Desktop: driving Ubuntu Desktop, our future immutable desktop: Ubuntu Core Desktop, WSL, gaming technology, and a suite of modern applications for the desktop crafted with Flutter Debcrafters: a new team responsible for the forward movement, maintenance and overall health of the Ubuntu archive: one of the most abundant repositories of open source software available today You'll be accountable for your technical roadmap, and responsible for your team: helping them grow as engineers, do important and satisfying work, and have a great time while doing it. Technical leadership experience and a background in software engineering are necessary prerequisites for this role. You will be expected to lead, challenge, and develop strong engineers, positively influence the culture, facilitate technical delivery, and work with your team on strategy and execution At Canonical, you will have the opportunity to engage with and contribute to the broader open source community. We're looking for individuals who can help build a thriving community and contribute with enthusiasm and precision to a broad range of technologies Location : We have remote roles open in every time zone. The role entails Based on the first round of interviews, we identify specific teams where you might be an excellent fit and conduct second-round interviews with those teams. Our leads are: Leading their teams in elevating the Linux developer and user experience Designing, building and shipping high quality, performant software in Rust, Go and Python Demonstrating sound engineering principles through architecture, development and code reviews Taking responsibility for planning, estimation and execution Working with product management to define the vision and strategy for Ubuntu Setting expectations with other engineering teams, senior management, and external stakeholders Offering coaching, mentoring, technical feedback and hands-on career development Contributing to upstream and neighboring open source projects Optimizing the distribution for performance, reliability, and security Debugging complex system-level issues and delivering robust solutions Authoring and improving technical and community documentation What we are looking for in you An exceptional academic track record from both high school and university Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path Ability to drive and deliver technical work streams going above and beyond expectations Lead and coach others to deliver exceptional engineering work A demonstrated passion for open source software Significant experience with Rust, Go, Python, Flutter or C/C++ Professional written and spoken English Excellent communication and interpersonal skills Result-oriented, with a personal drive to meet commitments Ability to travel twice a year, for company events up to two weeks each Nice-to-have skills Experience contributing to or leading open source projects Experience with Linux distributions/distribution engineering Experience with software packaging and distribution mechanisms Performance or Security Engineering experience What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring engineers to work across the breadth of our Ubuntu Engineering organisation -  engineers who care deeply for quality, performance and resilience in software, engineers who are just as comfortable with designing and engineering new software as they are with packaging, integrating, testing and shipping the incredible catalog of open source software provided by the Ubuntu repositories. Our engineers integrate the freshest open source software, provide robust upgrade paths and engineer the future of Ubuntu. Ubuntu is not just the world’s most deployed open source operating system, it's a platform that enables innovation for millions of users across the globe. Our community represents the full breadth of the developer experience; from students, hobbyists and freelancers to high performance engineering and creative teams in corporate and academic environments. The four key teams that ship Ubuntu are: Foundations : maintaining foundational software: architectures, package managers, compilers, toolchains, bootloaders, filesystems and core utilities Server: leading the design, evolution and future of our Ubuntu Server distribution Desktop: driving Ubuntu Desktop, our future immutable desktop: Ubuntu Core Desktop, WSL, gaming technology, and a suite of modern applications for the desktop crafted with Flutter Debcrafters: a new team responsible for the forward movement, maintenance and overall health of the Ubuntu archive: one of the most abundant repositories of open source software available today Bring your existing expertise and learn new skills by working on one of the most prolific pieces of open source software. As an engineer working on Ubuntu you could work on any or all of the following categories: Development : design, build and ship new foundational systems software and applications  in Rust, Go, Flutter, and Python Architecture : engineer the integration of open source from boot firmware to cloud applications deployment Packaging : a combination of Debian and Snap packaging to ship software in the distribution Automation : build and maintain the machinery responsible for building, testing and shipping Ubuntu Distro Engineering : the maintenance and evolution of a Linux distribution and its repositories This application track is suitable for those at the mid point in their career but perhaps not quite at the Manager/Lead level, with relevant skills to contribute to Ubuntu. At Canonical, you will have the opportunity to engage with and contribute to the broader open source community. We're looking for individuals who can help build a thriving community and contribute with enthusiasm and precision to a broad range of technologies. Location : We have remote roles open in every time zone. The role entails Based on the first round of interviews, we identify specific teams where you might be an excellent fit and conduct second-round interviews with those teams. Our engineers are: Designing, building and shipping software in Rust, Go and Python Packaging, integrating, testing and uploading open source software to the Ubuntu repositories Debugging system-level issues and delivering robust solutions Authoring and improving technical and community documentation Contributing to upstream and neighboring open source projects Collaborating as part of a globally distributed team Mentoring their colleagues to build skills and understanding Developing and improving processes to more efficiently fulfill our goals What we are looking for in you An exceptional academic track record from both high school and university Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path At least 2 to 4 years of professional software engineering experience post University Drive and a track record of going above and beyond expectations A demonstrated passion for open source software Significant experience with Rust, Go, Python, Flutter or C/C++ Professional written and spoken English Excellent communication and interpersonal skills Ability to travel twice a year, for company events up to two weeks each Nice-to-have skills Experience with Linux distributions and distribution engineering Experience with software packaging and distribution mechanisms Understanding of build systems and toolchains, including for cross-compilation Performance or Security Engineering experience What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring junior engineers to work across the breadth of our Ubuntu Engineering organisation -  engineers who care deeply for quality, performance and resilience in software, engineers who are just as comfortable designing and engineering new software as they are packaging, integrating, testing and shipping the incredible catalog of open source software provided by the Ubuntu repositories. Our engineers integrate the freshest open source software, provide robust upgrade paths and engineer the future of Ubuntu. Ubuntu is not just the world’s most deployed open source operating system, it's a platform that enables innovation for millions of users across the globe. Our community represents the full breadth of the developer experience; from students, hobbyists and freelancers to high performance engineering and creative teams in corporate and academic environments. The four key teams that ship Ubuntu are Foundations : maintaining foundational software: architectures, package managers, compilers, toolchains, bootloaders, filesystems and core utilities Server: leading the design, evolution and future of our Ubuntu Server distribution Desktop: driving Ubuntu Desktop, our future immutable desktop: Ubuntu Core Desktop, WSL, gaming technology, and a suite of modern applications for the desktop crafted with Flutter Debcrafters: a new team responsible for the forward movement, maintenance and overall health of the Ubuntu archive: one of the most abundant repositories of open source software available today Bring your existing expertise and learn new skills by working on one of the most prolific pieces of open source software. As an engineer working on Ubuntu you could work on any or all of the following categories: Development : design, build and ship new foundational systems software and applications in Rust, Go, Flutter, and Python Architecture : engineer the integration of open source from boot firmware to cloud applications deployment Packaging : a combination of Debian and Snap packaging to ship software in the distribution Automation : build and maintain the machinery responsible for building, testing and shipping Ubuntu Distro Engineering : the maintenance and evolution of a Linux distribution and its repositories If you have skills in those areas, or you have other skills you believe could contribute to Ubuntu, and you're keen to get started building your career in open source, then this is the role for you. Our junior career path caters for both new graduates and early careers engineers. At Canonical, you will have the opportunity to engage with and contribute to the broader open source community. We're looking for individuals who can help build a thriving community and contribute with enthusiasm and precision to a broad range of technologies. Location : We have remote roles open in every time zone. The role entails Based on the first round of interviews, we identify specific teams where you might be an excellent fit and conduct second-round interviews with those teams. Our engineers are: Designing, building and shipping software in Rust, Go, Python and C/C++ Packaging, integrating, testing and uploading open source software to the Ubuntu repositories Debugging issues, then designing and delivering robust solutions Authoring and improving technical and community documentation Contributing to upstream and neighboring open source projects Collaborating as part of a globally distributed team Continuously learning and progressing their technical and professional skills What we are looking for in you An exceptional academic track record from both high school and university Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path Drive and a track record of going above and beyond expectations A passion for open source software Experience with Rust, Go, Python, Flutter or C/C++ Professional written and spoken English Excellent communication and interpersonal skills Ability to travel twice a year, for company events up to two weeks each Nice-to-have skills Familiarity with Linux distributions Familiarity with system debugging tools and techniques Familiarity with automation tooling and CI/CD systems Experience contributing to open source projects What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.