Вакансии

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards team builds the systems that detect and mitigate misuse of our AI models, from individual policy violations to sophisticated, coordinated attacks. A growing part of that work depends on lightweight detection methods trained on model internals, which let us identify harmful behavior cheaply and at scale. This work feeds directly into Anthropic's Responsible Scaling Policy commitments. We're looking for an engineer to own the infrastructure behind that research. This is the tooling our researchers rely on to run experiments, train detection methods, and select detections for launch. It sits between research and production: researchers depend on it for fast iteration, and our detection systems depend on it for reliable, correct results as our models continue to change. Running machine learning workloads at our scale often requires solving novel systems problems. You'll identify those problems and build the abstractions, pipelines, and tooling that keep the research loop fast as requirements shift underneath you. Strong candidates will have a track record of solving large-scale systems and data problems and will be excited to grow deep machine learning expertise alongside it. Key responsibilities Build and scale the infrastructure and data pipelines behind Safeguards machine learning research Own the training, evaluation, and scoring workflows researchers use, with a focus on cutting the time between an idea and a result Design tooling and interfaces, including libraries and command line tools, that researchers can use directly without needing to understand the systems underneath Build correctness and sanity checking into the stack, so results stay trustworthy as models and workloads evolve Take the highest-value research workflows from experiments to reliable, production-grade jobs Improve the throughput, cost, and reliability of large-scale inference and scoring workloads Partner closely with researchers and engineers across Safeguards to understand their workflows, anticipate how their needs will change, and design for that ahead of time Minimum qualifications Strong software engineering fundamentals and hands-on coding ability, with proficiency in Python Experience building and operating data-intensive or distributed systems in production Experience building tooling or infrastructure that other engineers or researchers use as a dependency Comfort working across the research-to-deployment pipeline, from exploratory experiments to production systems Ability to debug performance and correctness problems across an unfamiliar stack Strong written and verbal communication skills, and a collaborative approach to technical decisions Preferred qualifications Experience with high-performance, large-scale machine learning systems Familiarity with language modeling and transformers, including working with model internals Experience with machine learning framework internals, GPU or accelerator programming, or inference optimization Experience building experiment tracking, caching layers, or evaluation harnesses for research teams Experience with probes, interpretability, or classifier development Interest in the misuse risks of AI systems and a desire to work on mitigating them 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. By providing members with a deep understanding of their bodies, behaviors, and daily lives, WHOOP empowers healthier choices and peak performance. We are seeking a Principal AI Researcher to join our Foundation AI team. This team builds the foundation models that underpin WHOOP’s next generation of intelligent, personalized, and health-enhancing experiences. These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior. In this role, you'll be one of the senior technical leaders at WHOOP.  You will own the technical execution of our foundation modeling workstreams and your technical judgment will shape a core part of WHOOP’s AI efforts and the products they power. RESPONSIBILITIES: - Set the architectural direction for the development of large-scale models spanning wearable sensor data, text, biomarkers, and behavioral signals, and personally own the highest-stakes, hardest-to-reverse design decisions. - Identify which research bets in self-supervised and representation learning are worth making, and drive the most ambiguous and unproven ones from thesis to validated, production capability. - Contribute to the broader AI  strategy and standards at WHOOP, shaping the platform, compute, and infrastructure choices the team operates on, not just working within them. - Partner across research, product, and engineering to connect technical breakthroughs to product and business outcomes. - Raise the technical bar across the team: grow staff and senior engineers, strengthen design-review and evaluation norms, and act as a force multiplier. - Represent WHOOP's technical work externally, helping with recruiting, partnerships, and visibility in the broader AI research community. QUALIFICATIONS: - Advanced degree (Master’s or Ph.D.) or equivalent depth, with extensive experience in large-scale machine learning and AI research. - A track record of owning technical direction for a significant area and making architectural decisions whose impact outlived any single project. - Demonstrated ability to take ambiguous, high-risk research directions all the way to production impact and the judgment to discontinue those that will not. - Deep expertise in modern deep learning (transformers, state space models), multimodal training, self-supervised and representation learning, RL-based post-training (PPO/DPO/GRPO), and large-scale distributed training (data, model, and context parallelism). - A history of being a technical authority that teams defer to, and evidence of multiplying their output. - Excellent communication and the ability to influence both the engineering bench and senior leadership. - Publications and evidence of community building at top-tier machine learning venues.  - Passion for WHOOP's mission to improve human performance and extend healthspan through science and technology.  This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.  Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $270,000 - $300,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.  In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. ABOUT THE ROLE Checkout.com http://Checkout.com is looking for an experienced Senior Data Scientist to lead advanced optimisation projects and champion the development of robust, sustainable ML architectures. You will be responsible for the enhancing payment flow through data and ML services, advancing the complex problem of multi-objective optimisation. You will work closely with other Senior and Staff Data Scientists to shape the architecture of our decisioning systems. KEY RESPONSIBILITIES - Lead projects and architecture design for multi-objective optimisation and scalable models. - Create custom loss functions, evaluation, and tuning frameworks that reflect complex business problems. - Collaborate with product stakeholders to align technical strategy with business goals and resolve blockers across the team. - Apply efficient data transformations using distributed computing (e.g., Spark, Dask) and ensure robust test coverage for production systems. - Mentor junior team members and utilise model explainability methods to drive feature performance improvements. ABOUT YOU - 5+ years of experience in designing, building and maintaining machine learning models to solve complex, large-scale business problems. - Deep understanding of frequentist and Bayesian statistics, plus supervised and unsupervised modelling techniques. - Proven experience modelling complex interactions (e.g., cluster or network effects). - Expertise in model explainability to tune feature engineering and understand feature interactions. - Ability to write high-quality, production-grade Python code and collaborate effectively with non-technical stakeholders. - Proficient in leveraging LLMs for coding support and process optimisation to maximise personal and team productivity. - Adept at tuning technical communication for broad audiences. - Proven ability to build trusting relationships with product stakeholders and deeply understand business models. NICE TO HAVE - Experience with distributed general-purpose cluster-computing. - Proven experience designing and deploying recommender systems, contextual bandits, or network intelligence applications. - Experience in fintech, payments or similar domains. - Experience with Docker, AWS/GCP, and modern ML deployment practices. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Paris, France Freedom24 is an international fintech and investment platform, part of Freedom Holding Corp. (NASDAQ: FRHC), providing brokerage and financial services to clients across Europe. We are actively expanding our presence in France, and as part of our broader strategy to grow our product offering, we are exploring the launch of new regulated financial services in the French market, including a digital banking offering. To support this, we are strengthening our compliance team and looking for an experienced MLCO to build and lead the AML/CFT function for this new area of our business. This is a unique opportunity to join at an early stage and directly shape the compliance infrastructure from the ground up. Design and implement AML/CFT policies and procedures in line with ACPR, TRACFIN and EU regulatory requirements (AMLD5/6); Build and oversee the KYC/KYB framework, including customer due diligence (CDD/EDD); Monitor transactions, identify suspicious activity, and prepare TRACFIN filings; Conduct risk assessments across products, customers, geographies and channels; Act as the primary point of contact with regulators (ACPR, TRACFIN, AMF); Train staff on AML/CFT, sanctions compliance and fraud prevention; Report to senior management on compliance risks and controls. Requirements 7+ years of experience in AML/CFT compliance within a bank, payment institution (PSP/EMI), or fintech company; Strong knowledge of French and EU regulatory frameworks (Code monétaire et financier, LCB-FT, AMLD); Proven hands-on experience directly engaging with regulators (ACPR, TRACFIN) — correspondence, inspections, reporting; Experience independently building a compliance function or processes from scratch, not just operating within an already established system; Comfortable working in a startup environment: high ambiguity, few pre-built processes, and the ability to make decisions independently; Understanding of digital financial and/or payment services and related risks; Fluent in French and English; ACAMS certification is a plus. Benefits A rare opportunity to build a compliance function for a new business line from the ground up — with direct influence on strategy and product; A competitive salary that reflects the seniority and responsibility of the role; A role within an international, publicly listed company (NASDAQ: FRHC) with ambitious growth plans in Europe; Real autonomy and high level of trust — a rare chance to build something new, not just maintain an existing function.

Location: Los Angeles, United States; Orange, United States; California City, United States Join a Team That's Generating More Leads Than We Can Handle Our Hard Money expert, Vladimir Isperov , has become one of the fastest-growing voices in the private lending space on social media. His educational content is attracting an incredible number of borrowers and investors every day—and the volume of incoming leads continues to grow. At LBC Mortgage , we're looking for motivated Mortgage Loan Officers who are ready to take advantage of a steady flow of company-generated leads. If you're tired of spending your time prospecting and want to focus on what you do best—building relationships and closing loans—we want to hear from you. What You'll Do Work with qualified company-provided leads generated through our marketing and social media campaigns. Build relationships with borrowers and understand their financing needs. Guide clients through the mortgage and hard money loan process from initial consultation to closing. Educate clients on available loan products and financing options. Maintain consistent follow-up with prospects and existing clients. Collaborate closely with processors, underwriters, and the operations team to ensure a smooth customer experience. Achieve monthly production goals while delivering exceptional customer service. What We're Looking For Active Mortgage Loan Originator (MLO) license. Previous experience originating residential mortgage loans or hard money loans. Strong sales, communication, and relationship-building skills. Confidence speaking with clients over the phone and converting opportunities into funded loans. Self-motivated, goal-oriented, and driven to succeed. Ability to work full-time from our North Hollywood office. Bilingual candidates are encouraged to apply. What We Offer A consistent pipeline of company-generated leads —no cold prospecting required. Competitive compensation with uncapped earning potential. Full operational support from experienced processors and underwriting staff. Modern CRM, technology, and marketing resources. Career growth opportunities within one of the fastest-growing mortgage companies. A collaborative, energetic, and supportive office environment. Ready to Close More Loans? If you're looking for an opportunity where the leads are already coming in and all you need to do is build relationships and close deals, we'd love to meet you. Apply today and become part of the LBC Mortgage team!

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 1,000 employees, 7 billion downloads, $1b+ revenues and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. ROLE SILs are Voodoo's internal consulting team, reporting to the Chief of Staff. You are dropped into the company's most important operational problems with a simple mandate: fix them. You work hands-on with leaders across gaming, apps, growth, and central functions — with the access of an insider and the toolkit of a top consultant. WHAT YOU WILL DO - Improve internal processes — diagnose broken or slow processes, redesign them, and implement the fix (not just recommend it). - Help leaders improve their operations — embed with studio, publishing, or functional leaders to raise the performance of their teams: KPIs, organization, tooling, ways of working. - Run tactical projects — scoped 4–12 week projects: market analysis, cost reviews, post-mortems, integration work, tooling rollouts. - Fix internal issues of many types — ambiguous, cross-team problems nobody owns; you own them until they're solved. WHAT WE'RE LOOKING FOR - 3–6 years at a top strategy consulting firm (MBB, Oliver Wyman, Roland Berger, Kearney, Advancy, EY-Parthenon), in M&A/transaction services, or in a high-performing BizOps/strategy team of a scale-up. - Structured problem-solver with strong analytics (advanced Excel/Sheets; SQL a strong plus). - Doer mentality: implements solutions, works autonomously, handles several workstreams. - Strong interpersonal skills — able to win the trust of leaders quickly without formal authority. - Top academic background (business or engineering). - Fluent English (French is a plus). - Passion for games/consumer apps a plus. WHAT WE OFFER - Consultant-style variety with operator-style impact — and no travel or sales. - Direct exposure to Voodoo's leadership; fast track to operational leadership roles internally. - Competitive package. BENEFITS - Swile Lunch voucher - Gymlib (100% borne by Voodoo) - Premium healthcare coverage SideCare, for your family 100% borne by Voodoo - Wellness activities in our Paris office

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 We are seeking a Strategic Finance, GTM member to join our Finance team at Anthropic to partner with sales counterparts. In this role, you will be a key partner to our go-to-market teams in post sales roles, providing financial expertise and guidance to support strategic decision-making. As we continue to grow, you will play a crucial role in analyzing financial data, building models, and delivering insights to drive informed business decisions. This role will work closely with cross-functional teams and collaborate with other members of the finance organization to align go-to-market strategies with broader financial considerations. Key responsibilities Provide expert guidance and recommendations to post-sales stakeholders on financial strategies, investments, and resource allocation decisions, leveraging an in-depth understanding of the company's financials Partner cross-functionally to drive analysis, build financial models, and recommend business decisions across a variety of areas, such as renewals and expansion forecasting, customer retention economics, cost-to-serve, and headcount and capacity planning Prepare and deliver clear, concise, and insightful financial reports and analyses to support planning cycles, business reviews, cost tracking and investment cases for post-sales programs Establish and implement reporting dashboards and scorecards to track key operational and financial metrics across the post-sales customer lifecycle Collaborate with other members of strategic finance, FP&A, revenue operations, and accounting counterparts, helping to align GTM plans with broader financial strategies and considerations Minimum qualifications Experience in strategic finance, sales or GTM finance, FP&A, private equity, growth equity, venture capital, consulting, or investment banking Exceptional analytical skills with an ability to synthesize data into compelling insights and develop / maintain complex financial operating models Extraordinary problem-solving and critical thinking abilities to navigate complex financial challenges Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences Strong relationship building, business judgment, process management, and communication skills Passion for Anthropic's mission to build safe, transformative AI systems Preferred qualifications 7+ years of experience, including time partnering directly with GTM or post-sales organizations such as Customer Success, Professional Services, or Support Experience with consumption-based, usage-based, and/or complex enterprise business models The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 We're looking for an experienced growth engineering leader to build and lead our Growth Engineering team as founding members of our growth initiative. This key leadership role requires deep expertise in driving user acquisition, engagement, and retention through data-driven strategies and technical implementations. Having led growth engineering teams before, you'll be responsible for identifying and executing on growth opportunities across our product surface area, developing experimentation frameworks, and scaling our impact through technical solutions. Key responsibilities Build and lead a high-performing team of growth engineers focused on user acquisition, activation, and retention Define and execute the technical strategy for growth initiatives, including A/B testing frameworks and measurement systems Create clarity and direction for the team in a fast-moving, ambiguous environment Collaborate cross-functionally with product, marketing, and data science teams to identify and prioritize growth opportunities Take an inclusive, equitable approach to hiring and coaching technical talent Drive the development of scalable systems for experimentation, personalization, and optimization Minimum qualifications Strong technical background in full-stack development with proven success building and shipping growth initiatives Track record of leading teams in growth experimentation, A/B testing, and data-driven product optimization Experience recruiting, scaling, and retaining engineering talent in a high-growth environment Excellent leadership and communication skills, with ability to work effectively across functions Demonstrated success in building a culture of belonging and engineering excellence Preferred qualifications 5+ years of experience as an product minded engineering manager, with at least 2 years leading growth engineering teams Experience applying machine learning and AI technologies to growth challenges Demonstrated success implementing product-led growth strategies and viral loops at scale Expertise in modern web development stacks and experimentation frameworks Experience with user segmentation and cohort analysis tools Startup experience, particularly in scaling products from zero to one 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: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Fort Belvoir, Virginia, United States Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position Dexis Professional Services (Dexis) is seeking a Program Manager who will be responsible for the management and oversight of contract performance  supporting the Defense Threat Reduction Agency (DTRA) Combat Support (CZ) Directorate. The Program Manager (PM) shall ensure full functionality and ensure changes to business practices are effectively communicated to all relevant staff.  The PM will serve as the primary interface with the Contracting Officer (KO), Contracting Officer’s Representative (COR), Alternate Contracting Officer’s Representative (ACOR), or Technical Point of Contact (TPOC).  The PM will be fully empowered to manage resources and make program decisions that are within the scope of the contract. The PM shall provide management oversight of all program activities, inclusive of the processes, procedures, reports, checks, audits, and systems put in place to ensure the quality of work effort and deliverables. The DTRA Combat Support (CZ) Directorate provides advisory and operational support to Combatant Commands (CCMDs), Interagency partners, and Special Operations Forces (SOF) to enhance Countering Weapons of Mass Destruction (CWMD) capabilities. This support includes campaign management, operational planning, irregular warfare support, and WMD defeat advisory services. These efforts will enhance DTRA’s situational understanding of Combatant Commands (CCMDs) with the integration of analysis, capabilities, technologies, and lessons learned to defeat the enemy networks that employ emerging threat weapons and WMD for strategic effect. The position will be based in Fort Belvoir, VA and is contingent upon contract award. Responsibilities Oversee contract execution, ensuring compliance with contract objectives. Manage relationships with the client. Lead a large, geographically dispersed team, ensuring collaboration, coordination, and clear internal team communication. Ensure deliverables, products, services, and personnel meet government needs and expectations. Provide innovative approaches to team management. Provide technical support, leadership, and creation of processes in execution of the contract. Lead quality assurance and technical excellence of work on the contract and team; ensure deliverables and products are delivered timely and of quality acceptable to both the client and Dexis. Identify and mitigate schedule, performance, technical, and financial risks. Conduct cost monitoring and variance analysis. Qualifications Must possess a mastery of the day-to-day operations within the Combat Support Directorate (CZ) Directorate. Bachelor’s degree from an accredited college/university. Active Top Secret security clearance with SCI eligibility. At least ten (10) years of A&AS program management experience. At least five (5) years of program management experience supporting DTRA, with Combat Support Directorate experience preferred. PMP Preferred Qualifications PhD Subject matter expertise in CWMD, CBRN, threat reduction, or counterproliferation. Experience managing a large professional services contract. Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $150,000 — $250,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: Worldwide Workplace: hybrid Job Opening: Chief Engineer – Cruise Ship Vessel Type: 290 m Length, 85,000 GT / 335 m Lenght ,150,000 GT | Azipod Propulsion Contract Type: Rotational Location: Worldwide Itineraries   We are seeking a skilled and experienced Chief Engineer to join our cruise ship fleet.   Key Responsibilities: ·         Ensuring preventive maintenance and repairing machinery, avoiding delays on sea passage or during the turnaround of the vessel. The Chief Engineer shall work closely with all departments in this respect;  ·         Reporting directly to the Master and the Technical Manager any matters affecting Quality, Safety & Health, Environmental protection and Energy Efficiency;  ·         Ensuring close liaison and cooperation with all department heads to facilitate smooth  and efficient vessel operations;  ·         Ensuring that the Planned Maintenance System (PMS) is updated and operated in  compliance with Company’s requirements;  ·         Ensuring that Engine Officers and Crew are familiar with the Company's Management System;  ·         Motivating the Engine Officers and Crew in executing their duties according to the Company's Management System;  ·         Ensuring that a robust Safety & Health culture and Environmental and Energy Efficiency  awareness is encouraged and maintained;  ·         Providing the Master with a positive report prior to each departure, that the vessel is ready to proceed to sea, with respect to the main and auxiliary machinery and the responsibilities of the Engineering section;  ·         Ensuring close co-operation with the Staff Captain with particular regard to the safe loading of the vessel, stress and stability;  ·         Responsible for safe and efficient fuel oil, diesel oil and lube oil bunkering operations;  ·         Ordering spares and repairs (including dry-dock specifications) as required via the Technical Manager; Ensuring that activities are well planned, organized and safeguards established against all identified risks;  ·         Issuing appropriate orders and instructions in a clear and simple manner and verify that specified requirements are observed;  ·         Ensuring that corrective and preventive actions are implemented timely and effectively;  ·         Reviewing the Company’s Management System on a regular basis and reporting to the Master proposals for improvement.  ·         Furthermore, in accordance with the requirements of the Company’s environmental procedures the Chief Engineer is responsible for:  ·         Ensuring the Engineering Department is in compliance with all applicable environmental legislation and regulatory controls as well as Company’s Environmental & Energy Management System;  ·         Ensuring that all engine room personnel have appropriate training on environmental & energy policies and procedures, including but not limited to training on the operation and use of pollution prevention equipment, bilge and ballast pumps, Incinerator, Sewage Treatment Plant and Oily Water Separator (OWS);  ·         Ensuring that all engine room personnel have appropriate training to make entries in the Oil Record Book, the Garbage Record Book, the Engine Room Bilge, Oil Residue and Sludge Tank Sounding Log or any other logs required by the Company environmental procedures, or any other maritime environmental protection and energy efficiency requirements;  ·         Ensuring that the Incinerator, the Oily Water Separator (incl. the Oil Content Meter) the Sewage Treatment Plant and any other pollution prevention equipment installed onboard are operational and tested in accordance with the relevant Machinery Space Operation Procedures. Inform immediately the Technical Manager, the and the Designated Person Ashore (DPA) if there is a malfunction of the above listed equipment;  ·         Ensuring that the Chief Engineer’s handover notes include an environmental component and description of the current status of operation, maintenance, and repair, for the Incinerator, Oily Water Separator (OWS), Oil Content Meter (OCM) and any other pollution prevention procedures or equipment, the status of spare parts for the aforementioned equipment, and an estimation of the day-to-day bilge loads and accumulations; Entries in the handover report must be descriptive, not solely answers marked as “Yes” or “No” or “Good”;  ·         Ensuring that all Engine Room records, soundings and tank measurements are accurate and recorded truthfully. Rough notes, sounding logs and/or other documents used by engine room personnel to record tank soundings and monitor tank levels are maintained for one year, and such notes are dated even if managed on scrap paper;  ·          The completeness, accuracy and readiness of the Oil Record Book and authenticating the accuracy of each entry;  ·         Working closely with the Environmental & Energy Officer to communicate the Company’s environmental objectives and targets to the Engineering Department, encouraging their participation and contribution;  ·         Reporting to the Master, Technical Manager and the Designated Person Ashore (DPA) all instances where inadequate response associated with spare parts delivery, maintenance and repair or other factors, caused conditions leading to excessive production in shipboard waste streams;  ·         Ensuring that bunkering procedures are implemented and bunker samples and bunkering records are properly kept and maintained onboard as explained in the relevant Machinery Space Operation Procedures. Inform immediately the Master, Technical Manager and the Designated Person Ashore (DPA) if contaminated fuel is received onboard.      Qualifications & Experience: •Valid STCW certification and Chief Engineer (Unlimited) license. •Minimum 3 years’ experience as Chief Engineer on passenger vessels of equivalent tonnage. •In-depth knowledge of Azipod propulsion technology and marine engineering systems. •Strong leadership and team management skills, with the ability to motivate and lead a multinational crew. •Proficient in English (spoken and written); additional languages a plus. •Excellent problem-solving and troubleshooting abilities. •Experience with energy efficiency measures and environmentally friendly technologies onboard.   This post is for active pooling recruiting. We are very happy to connect with interested candidates

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 team Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery. About the role We're seeking an exceptional Research Scientist to join the team. This role combines deep computational biology expertise with frontier AI capabilities, positioning Anthropic at the forefront of AI-driven scientific discovery. As one of the first computational members of this Life Sciences research group, you'll work on a high-impact team that operates at the intersection of computational and experimental biology. You'll bring broad computational biology experience to bear across the team's projects, driving discoveries from large-scale computational analysis of biological data through to results our experimental scientists can test, and moving flexibly between problems as the science demands. You'll have substantial access to Claude and you'll help establish how computational biology operates at Anthropic. This role offers a unique opportunity to shape how AI transforms biological research. You'll work with some of the world's best AI researchers while tackling problems that matter deeply for scientific understanding and biomedicine. If you're excited about using your computational expertise to make fundamental biological discoveries and guide the development of transformative AI systems, we want to hear from you. Key responsibilities Build, run, and maintain the analysis pipelines that back the team's experimental programs: sequence analysis at petabyte scale, structural bioinformatics, phylogenetic and comparative genomics, design and analysis of high-throughput functional screens, biological sequence modeling, etc. Partner directly with experimental biologists to design experiments that produce high-quality data, and turn results around fast enough to immediately inform the next experiment Draw on the literature and curated biological knowledge bases alongside primary data to generate and prioritize hypotheses for experimental follow-up Stand up and maintain the team's computational infrastructure: data ingestion, workflow orchestration, internal databases, and the interfaces that make all of it accessible to both researchers and AI agents Use Claude and our internal agent frameworks heavily in your own work, and feed what you learn back to the model-improvement and product teams as evaluations, datasets, and concrete failure cases Pick up analyses across projects as priorities shift; we're looking for breadth and flexibility over a single deep specialty Minimum qualifications Have a PhD in computational biology, bioinformatics, genomics, biophysics, machine learning, computer science, or a related quantitative or biological field, or equivalent industry research experience Have a track record of computational biology research you have led end to end, from question to result, with evidence of impact (for example publications, preprints, released datasets or tools, or research that changed a program's direction) Have demonstrated breadth across multiple areas of computational biology Are proficient in one or more programming languages used in scientific computing and comfortable working on large datasets in Linux and cloud compute environments Can take an ambiguous biological question, scope the analysis, and produce a result an experimentalist can act on Communicate computational results clearly to both biologists and ML researchers Preferred qualifications Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments Are results-oriented, with a bias towards flexibility and impact Hands-on experience in experimental biology, or a track record of designing experiments side by side with experimentalists Experience building tools, pipelines, or agentic systems on top of LLMs, or training models on biological sequence data Deep expertise in one or two areas of computational biology (for example structural biology, metagenomics, single-cell genomics, or protein design) on top of the required breadth 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 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We're looking for a strategic Staff Web Growth Marketing Manager who combines deep expertise in web growth marketing with a hands-on execution mindset. This role is responsible for defining and driving the strategy for our highest-impact web experiences while independently leading complex initiatives from concept through launch, experimentation, optimization, and measurement. As a senior individual contributor, you'll operate as the company's subject matter expert for web growth, partnering closely with Web Design, Product Marketing, Demand Generation, Brand, Product, Engineering, Analytics, and executive stakeholders to identify growth opportunities, influence priorities, and deliver measurable business outcomes. Success in this role requires balancing long-term strategic thinking with a willingness to dive deep into execution. You'll establish scalable frameworks for experimentation, measurement, and operational excellence while remaining closely connected to the work – writing requirements, analyzing data, launching experiments, and continuously improving customer experiences. This is a hybrid full-time position based out of our Denver, CO office, with two days per week in the office. Technologies You’ll Use Webflow, Sanity, Optimizely, Google Analytics (GA4), Amplitude, Looker, Microsoft Clarity, Jira, Figma, and Excel/Gsheets. What You’ll Do Define the long-term web growth strategy across Fivetran.com, getdbt.com, and other high-impact web experiences. Align initiatives with company objectives, user needs, and measurable business outcomes. Own high-impact web growth initiatives end-to-end, from strategic planning and requirements gathering through launch, optimization, and performance analysis. Partner with Web Design and Engineering to translate plans into real experiences. Drive alignment across complex and ambiguous initiatives by balancing business impact, user experience, technical feasibility, and organizational priorities to make informed decisions and move work forward. Write comprehensive business requirements documents (BRDs) to translate vision into strategic implementation plans that align cross-functional teams and accelerate execution. Leverage behavioral analytics, user research, and market trends to identify opportunities, optimize user journeys, and inform strategic decisions. Develop and execute experimentation roadmaps across critical user journeys, including the Homepage, Navigation, Pricing, Signup, and other high-impact experiences to improve acquisition, conversion, and pipeline. Partner with Product Marketing, Demand Generation, Brand, Product, Analytics, and executive stakeholders to influence priorities and deliver cohesive web experiences. Identify emerging opportunities in AI, personalization, and web technologies, influencing roadmap direction and investment decisions that accelerate long-term business growth. Mentor teammates and serve as a recognized subject matter expert, raising the strategic, operational, and execution maturity of the broader web and marketing organization. Skills We’re Looking For Demonstrated ability to develop and execute long-term web growth strategies that drive measurable business outcomes across acquisition, conversion, and pipeline generation. Proven ability to balance strategic thinking with hands-on execution, independently driving initiatives from concept through launch, measurement, and optimization. Deep expertise in behavioral analytics, experimentation strategy, conversion rate optimization, and translating insights into strategic recommendations. Exceptional cross-functional leadership and influence, with experience aligning cross-functional and executive stakeholders on complex and ambiguous initiatives. Strong prioritization skills, with the ability to evaluate tradeoffs, influence roadmap direction, and recommend investments based on business impact, scalability, and user needs. Experience creating scalable operational frameworks and documentation that improve organizational effectiveness and raise execution quality across teams. Excellent written and verbal communication skills, with the ability to independently present recommendations, business cases, and strategic insights to senior leadership and executive stakeholders. Bonus Skills Experience marketing technical B2B SaaS, enterprise software, or developer-focused products. Experience leveraging AI to accelerate marketing workflows and operational efficiency while applying sound judgment and governance. Passion for mentoring peers and establishing scalable best practices across a team. #LI-JC1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $148,850.50 — $186,063 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We're looking for a strategic Staff Web Growth Marketing Manager who combines deep expertise in web growth marketing with a hands-on execution mindset. This role is responsible for defining and driving the strategy for our highest-impact web experiences while independently leading complex initiatives from concept through launch, experimentation, optimization, and measurement. As a senior individual contributor, you'll operate as the company's subject matter expert for web growth, partnering closely with Web Design, Product Marketing, Demand Generation, Brand, Product, Engineering, Analytics, and executive stakeholders to identify growth opportunities, influence priorities, and deliver measurable business outcomes. Success in this role requires balancing long-term strategic thinking with a willingness to dive deep into execution. You'll establish scalable frameworks for experimentation, measurement, and operational excellence while remaining closely connected to the work – writing requirements, analyzing data, launching experiments, and continuously improving customer experiences. This is a hybrid full-time position based out of our Oakland office, with two days per week in the office. Technologies You’ll Use Webflow, Sanity, Optimizely, Google Analytics (GA4), Amplitude, Looker, Microsoft Clarity, Jira, Figma, and Excel/Gsheets. What You’ll Do Define the long-term web growth strategy across Fivetran.com, getdbt.com, and other high-impact web experiences. Align initiatives with company objectives, user needs, and measurable business outcomes. Own high-impact web growth initiatives end-to-end, from strategic planning and requirements gathering through launch, optimization, and performance analysis. Partner with Web Design and Engineering to translate plans into real experiences. Drive alignment across complex and ambiguous initiatives by balancing business impact, user experience, technical feasibility, and organizational priorities to make informed decisions and move work forward. Write comprehensive business requirements documents (BRDs) to translate vision into strategic implementation plans that align cross-functional teams and accelerate execution. Leverage behavioral analytics, user research, and market trends to identify opportunities, optimize user journeys, and inform strategic decisions. Develop and execute experimentation roadmaps across critical user journeys, including the Homepage, Navigation, Pricing, Signup, and other high-impact experiences to improve acquisition, conversion, and pipeline. Partner with Product Marketing, Demand Generation, Brand, Product, Analytics, and executive stakeholders to influence priorities and deliver cohesive web experiences. Identify emerging opportunities in AI, personalization, and web technologies, influencing roadmap direction and investment decisions that accelerate long-term business growth. Mentor teammates and serve as a recognized subject matter expert, raising the strategic, operational, and execution maturity of the broader web and marketing organization. Skills We’re Looking For Demonstrated ability to develop and execute long-term web growth strategies that drive measurable business outcomes across acquisition, conversion, and pipeline generation. Proven ability to balance strategic thinking with hands-on execution, independently driving initiatives from concept through launch, measurement, and optimization. Deep expertise in behavioral analytics, experimentation strategy, conversion rate optimization, and translating insights into strategic recommendations. Exceptional cross-functional leadership and influence, with experience aligning cross-functional and executive stakeholders on complex and ambiguous initiatives. Strong prioritization skills, with the ability to evaluate tradeoffs, influence roadmap direction, and recommend investments based on business impact, scalability, and user needs. Experience creating scalable operational frameworks and documentation that improve organizational effectiveness and raise execution quality across teams. Excellent written and verbal communication skills, with the ability to independently present recommendations, business cases, and strategic insights to senior leadership and executive stakeholders. Bonus Skills Experience marketing technical B2B SaaS, enterprise software, or developer-focused products. Experience leveraging AI to accelerate marketing workflows and operational efficiency while applying sound judgment and governance. Passion for mentoring peers and establishing scalable best practices across a team. #LI-JC1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $173,624 — $217,030 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: South Africa; Philippines; Morocco; Pakistan; North Macedonia; Serbia About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. About the Company The company offers a platform that serves as the agentic revenue infrastructure and operational backbone these companies have been missing. By deploying autonomous AI agents to run the entire revenue lifecycle, it captures every opportunity, keeps the pipeline alive, and drives consistent revenue without relying on staff availability or adding to company headcount. Key Responsibilities Pipeline Generation: Execute high-volume outbound activity including 100+ dials per day, targeted emailing, and LinkedIn outreach to generate $80k–$120k in new monthly pipeline. Full Cycle Closing: Lead discovery calls and deliver polished product demos, managing a 14–30 day sales cycle to meet aggressive monthly closing targets (stair-stepping to 20+ deals per month). Process Architecture: Build and optimize outreach frameworks, objection-handling scripts, and CRM workflows to ensure 95%+ hygiene and data accuracy. Strategic Leadership: Transition from individual production to managing a team of two, coaching them on performance metrics and ensuring the team maintains a 20–30% close rate on qualified opportunities. Operational Excellence: Maintain a rapid response time (< 2 hours) to inbound inquiries and ensure a consistent show rate of 70%+ for all scheduled meetings. Requirements Experience: 4+ years of hands-on experience in high-growth sales environments, specifically building pipelines and closing net-new deals. Blue-Collar Fluency: Deep understanding of the home services vertical (HVAC, plumbing, roofing, solar) and the ability to communicate effectively with small-to-medium business owners. Sales Discipline: A proven "hunter" mentality with significant experience in cold calling and a track record of exceeding activity KPIs. Closing Prowess: Expert-level demo presentation skills and the ability to navigate a fast-paced, high-volume sales cycle. Operational Maturity: Experience building sales processes and enforcing CRM compliance to create a predictable revenue engine. Availability: Ability to work a strict 9-5 schedule in the PST timezone. Benefits 🌎 Fully remote role 📚 Fast learning curve and support for career progression. 🎯 Direct impact on revenue, product, and customer success.

Location: San Francisco, CA | 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 Anthropic is hiring a Field Marketing Lead dedicated to the Public Sector Industry — one of the fastest-growing customer segments we serve, and one we believe will define how the next generation of AI-native companies adopts and builds with Claude. You will own the field marketing strategy and end-to-end execution for Public Sector audiences in the US, partnering closely with our Public Sector Sales teams. This is a builder role. Field Marketing at Anthropic is a small, scrappy team and the Public Sector is an area of growth for the business — there is no existing playbook for you to inherit. You will design the event calendar, build the integrated digital programs, develop the necessary partnerships, and create the playbooks that scale across our Public Sector motion. Responsibilities Develop and activate the US Public Sector field marketing strategy end-to-end — planning, calendar, execution, and measurement. Design and run public-sector-appropriate event formats — agency roundtables, mission-focused briefings, tech demo days, industry days, and executive breakfasts — that comply with government ethics and gift rules while building trusted relationships with program and procurement stakeholders Plan the field calendar around the government fiscal year — building demand programs that peak ahead of federal year-end (September 30) and state budget cycles, and capitalize on use-it-or-lose-it spending windows Own presence at anchor public sector events — from sponsorship strategy to speaker placement and on-site execution Build co-marketing programs with the public sector channel ecosystem — distributors, resellers, systems integrators, and contract-vehicle holders — including joint events, teaming-oriented content, and partner-sourced pipeline Partner closely with Public Sector Sales and BDRs on pre-event targeting, during-event engagement, and post-event follow-up to convert attention into pipeline Build operational playbooks (Demo Day activation kit, hackathon kit) that the Field Marketing team can scale across regions and segments Establish baseline metrics, dashboards, and ROI reporting for all Public Sector field programs Be the face of Anthropic in the Public Sector ecosystem — credible with strategic partners and agencies Minimum qualifications Direct Public Sector-segment experience — you have built and run programs targeting the Public Sector as your primary audience, not as an enterprise field marketer who occasionally touches Public Sector End-to-end ownership of field marketing events and programs, hands on in both strategy and execution - this is a 0-1 building role with very little foundation in place Repeat success across multiple companies — we are looking for a pattern of impact, scaling field or demand generation programs in different environments, not a single-company tour (however strong the brand) 0-to-1 builder DNA — you've built a field marketing motion from scratch (or rebuilt one), and you also have scaled-company tenure that grounds you operationally Tight sales alignment — you've worked shoulder-to-shoulder with AEs and BDRs on account targeting, pre-event outreach, and post-event follow-up Operational rigor — you can stand up vendor management, registration, follow-up workflows, and ROI dashboards without being asked Technical credibility — you can review technical event content, brief technical speakers, and hold your own with founder/CTO audiences Preferred qualifications 10+ years across Field Marketing, Demand Generation, ABM, and Events at B2B technology companies Experience working inside of a Public Sector organization that went through a rapid growth phase, or a blend of Public Sectors and scaled technology companies. AI/ML field marketing experience Existing relationships with public sector associations and research institutions Visible thought leadership in the Public Sector ecosystem or developer ecosystem Role-specific policy: For this role, we expect staff to be able to work from our San Francisco or Washington, D.C. office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $400,000 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: United States (Remote) GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find. The Role GiveWell is hiring a Senior Philanthropy Advisor to manage and advise a portfolio of our largest donors. This role will help shape our relationship strategy with donors giving seven- to ten-figure gifts and will have significant influence over how GiveWell’s philanthropy function grows and evolves. You will manage and advise a portfolio of our largest donors, serve as a leader within our philanthropy team, and be a thought partner to our senior leadership team. Why We’re Hiring Now Many of our donors are analytical, quantitative thinkers, and their deep engagement with our research makes our work better. We've built a philanthropy team to match. We take the time to understand what our donors value, we treat their giving as a true partnership, and we invest in learning our own research deeply so we can help donors do the same. We measure our relationships in years, not quarters. We face a historic opportunity to scale giving to high-impact causes and to save and improve lives around the world. To meet this moment, we are engaging a new generation of major philanthropists, while strengthening the partnerships model that has made our existing donor relationships so productive. We believe that deepening our philanthropic partnerships with our current and future major donors is one of the highest-leverage actions GiveWell can take to ensure significantly more funding for some of the world’s most cost-effective programs. What You’ll Do Build long-term, trust-based relationships with major donors that deepen donors’ understanding of GiveWell’s work. Proactively identify the insights, data points, and narratives from GiveWell’s research that are most relevant to major donor decision-making. Drive and lead team-wide initiatives and significant projects to make our work accessible, from learning journey design, playbooks, and systems to donor events and donor communications. Translate GiveWell’s research into original donor-facing content that makes our work accessible to analytically sophisticated, time-poor major donors. Serve as a strategic advisor to GiveWell’s leadership. Drive improvements to our philanthropy culture, systems, and processes to improve how our philanthropy function operates and scales. About You You understand how people translate their values into action. You're comfortable connecting with a wide range of people, from the donor who wants to deeply understand every assumption in our model to the donor who wants a high-trust, low-friction recommendation they can act on quickly, and everyone in between. Your background includes significant experience earning trust with discerning, analytic people, where you are a partner in somebody else's high-stakes decisions. You've experienced navigating this, not by telling them what to do, but by helping them think clearly and get the right information to support what they're trying to accomplish. You know how to help people navigate doubt and complexity. You are comfortable both bringing a clear point of view (for example, by saying, "Here's what I would do") and helping people strengthen their own judgment over time. You are excited by intellectually demanding work. You are ready to engage with complex global health topics, including our cost-effectiveness models, program evaluation, and evidence quality. You are driven to get up to speed and be ready to explain them clearly to audiences who will push back on our thinking. You are excited to engage with hard follow-up questions and people who will expect rigorous answers. While you don't need prior global health experience, you will need to demonstrate you can get up to speed quickly on complex quantitative subject matter and translate it rigorously and credibly. You bring high emotional intelligence, curiosity, and a clear sense of mission to your day-to-day work. You’re a collaborator who connects dots and builds relationships across teams. You bring depth of leadership experience, and you are comfortable supporting strategic decisions and rolling up your sleeves to build and shape our work. You are ready to bring adaptive energy to this work while being comfortable deeply explaining your reasoning and taking time to reach high-quality decisions where it matters. Strong candidates will have: A track record of managing sophisticated, high-stakes relationships—whether with major donors, ultra-high-net-worth clients, foundation officers, board members, or similarly discerning stakeholders in another field entirely. Exceptional relationship management skills, with high emotional intelligence, an advisory mindset, and the ability to hold a large amount of context about a person and synthesize it in real time. Interest in global health and development, and the ability to engage in complex research and ideas even without prior experience in the sector. Excellent communication skills, written and verbal—clear, tailored, and credible messaging for discerning stakeholders, including comfort producing original written content. Leadership skills to partner with senior staff and influence across teams collaboratively. Strong operational expertise: leading cross-team projects, building scalable processes, and translating strategy into action. Strong alignment with GiveWell’s mission and values, including truth-seeking, transparency, humility, and long-term trust-building. Who Tends to do well: People who enjoy building relationships and understanding what motivates the people they work with People who can engage thoughtful, analytical audiences and handle nuanced conversations Fast learners who can pick up complex, unfamiliar subject matter and enjoy translating it verbally and into written content Self-starters who take ownership and work well in a collaborative, evolving team People who are proactive and anticipatory—who reach out before the other person knows they need something People who are comfortable sitting with complexity and helping others navigate uncertainty People who are enthusiastic about GiveWell's mission and values Key Questions What are some of the reasons I might not like this role? You prefer research or analysis over building relationships with people You struggle with initiating challenging or direct conversations You  prefer highly structured environments with clear answers at all times You prefer to share information and let others draw conclusions, rather than offering their own synthesis and point of view What does this interview process entail? We'll use a combination of interviews, written exercises, and work trials to assess the qualities described above. We'll share more specific details if we invite you to move forward to any of the following stages, but our current plan is: Screen with our Manager, Talent Acquisition Compensated 4-hour work trial (written) Interviews with our VP, Philanthropy and Senior Manager, Philanthropy Additional work trial (live interview) with our VP, Philanthropy and a Senior Philanthropy Advisor Final Onsite in our Oakland, California headquarters, where you’ll interview with members of our executive leadership team in person (we will cover your travel expenses). References Note that you don't need to submit a cover letter. We rely heavily on your resume and answers to the application questions below when we're making early decisions. We encourage you to spend time responding to the application questions thoroughly and carefully. Details Team: You'll report to our VP of Philanthropy. Compensation : NYC or the San Francisco Bay Area: $247,500 All other U.S. locations: $225,000 Location: This position is eligible to work fully remotely within the US. Offices: You are welcome but not required to work from our offices in Oakland, California; Brooklyn, NYC;. We'll cover relocation expenses for candidates who wish to move to one of these physical office locations. Flexibility: We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another. Benefits : Our benefits include: Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents) Four weeks of paid time off per year One week all-office closure 16 weeks of fully paid parental leave Ergonomic home workstations or coworking space memberships Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff) Start date: We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date. About GiveWell GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish all the work, reasoning, and uncertainties behind our funding decisions. Our giving funds enable donors to contribute to the most impactful and cost-effective programs our researchers identify. GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 150,000 donors have given over $2.6 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than 340,000 lives . GiveWell is most well-known for recommending a small number of Top Charities , which currently support seasonal malaria chemoprevention , insecticide-treated nets , vaccine incentivization , and vitamin A supplementation . However, most of our research capacity and grantmaking is devoted to cost-effective opportunities outside of those programs . GiveWell grants have: Helped governments navigate changes to the funding landscape and implement high-impact health programs, like HIV/syphilis screening and treatment for pregnant people in Zambia and Cameroon. Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the Clinton Health Access Initiative’s Incubator to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we funded a program to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program. Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like healthcare support and malnutrition treatment in northern Cameroon. Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support treatment of clubfoot and to evaluate the program . Tested our assumptions and refined our understanding through further research and data collection, including improved estimates of disease burden and studies on the effect of water chlorination on mortality and the impact of a tree-planting program on farmers’ income . We make our reasoning public and transparent so others can challenge it (sometimes we even pay people to point out our errors ). We go to unusual lengths to check our assumptions and assess our impact, including funding research to address our uncertainties and gathering independent monitoring and evaluation data about the programs we support. We change our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s recent interview with GiveWell’s co-founder and CEO Elie Hassenfeld. Additional information We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway. GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records. By submitting an application, you acknowledge that you have read and consent to GiveWell's Privacy Statement for Applicants . By completing an application exercise, you acknowledge and assent to GiveWell's Work Trial Policy .

Location: Remote-Friendly, United States 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 Anthropic Anthropic's mission is the responsible development and maintenance of advanced AI for the long-term benefit of humanity. We are a safety-focused AI company working to build reliable, interpretable, and steerable AI systems. As our compute infrastructure scales to support frontier model training and deployment, we are building a world-class team to design, deliver, and operate the physical facilities that make that possible. About the Role We are looking for a Principal Data Center Architect with deep expertise in Civil, Structural, and Architectural (CSA) design to join our growing infrastructure team. This role is the technical owner for the physical building fabric of Anthropic's AI compute facilities — from the earliest site feasibility studies and test fits through reference design development, design partner oversight, and construction delivery. As Anthropic scales its data center program across multiple sites in the United States and internationally, you will set the civil, structural, and architectural standards that govern how our facilities are designed and built. You will work directly with design-build partners, AE firms, and internal mechanical, electrical, and IT infrastructure teams to ensure our facilities are optimized for high-density AI workloads, constructable on aggressive timelines, and replicable across a growing portfolio. This is an owner's engineer role — you are the technical authority, not a consultant. You will be expected to make binding design decisions, identify problems before they reach the field, and drive standardization across a pipeline of concurrent projects globally. What You'll Do Own the civil, structural, and architectural reference design standards for Anthropic's data center portfolio, establishing repeatable design elements deployable across multiple sites and jurisdictions Lead front-end test fits and site feasibility studies, evaluating structural approaches, site constraints, utility interfaces, and code compliance to inform site selection and design direction Review and approve CSA deliverables from design-build partners and AE firms at each design stage (SD, DD, CD, IFC), including drawings, structural calculations, specifications, and geotechnical reports Integrate CSA design with mechanical, electrical, plumbing, fire protection, and IT infrastructure teams to produce coordinated designs that support high-density AI compute and direct liquid-cooling systems Drive site and campus planning to maximize compute density, optimize construction phasing, and align physical layout with IT and operational requirements Partner with the construction and delivery team to provide technical oversight during construction, resolve field issues, and support commissioning activities Evaluate and develop relationships with design partners, structural engineering subconsultants, and prefabrication / modular vendors; define qualification and performance standards Establish and maintain facility support area standards — logistics staging, loading, maintenance access, and operational support spaces — scaled for hyperscale deployments Identify modular and prefabricated construction opportunities that reduce schedule, cost, and design risk across the project pipeline Manage review cycles and coordinate across internal and external stakeholders to resolve design conflicts and keep projects moving on aggressive timelines Travel to project sites globally for design reviews, construction audits, and commissioning milestones (up to 40%) What We're Looking For Required 10+ years delivering mission-critical facility infrastructure, with at least 6 years directly in hyperscale or large-scale data center CSA design Deep technical expertise across civil site development, structural design, and architectural programming for industrial or mission-critical facilities Demonstrated experience as an owner's engineer or lead technical authority — setting standards, approving deliverables, and managing external design teams Proficiency with applicable building codes and standards including IBC, IFC, ASCE 7, ACI 318, AISC, FM Global, and local jurisdictional requirements across multiple geographies Experience with high-density compute environments, including structural and architectural accommodation of direct liquid-cooling systems, overhead busway, and dense rack deployments Track record of driving design standardization and developing repeatable reference designs across a multi-site portfolio Ability to evaluate and red-line structural calculations, civil site plans, and architectural construction documents for accuracy, completeness, and constructability Experience coordinating across MEP disciplines and IT infrastructure teams in a fast-paced, multi-project environment Clear and direct communication with both technical and non-technical audiences; ability to make and defend design decisions with incomplete information Preferred Licensed Professional Engineer (PE) in civil or structural engineering, or licensed architect (AIA / RA) Experience with prefabricated and modular construction strategies for data center applications Familiarity with geotechnical risk assessment and foundation design for large industrial facilities LEED accreditation, Uptime Institute AOS/M&O certification, or equivalent mission-critical credentials International project delivery experience (Europe, Asia-Pacific, or other regions) Experience reviewing design packages in Autodesk Construction Cloud, Revit, or Navisworks The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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 Technical Recruiter at Anthropic, you will be instrumental in shaping the future of our organization by identifying, engaging, and hiring the best and brightest minds across a range of disciplines. As we continue to push the boundaries of AI research and development, we need a passionate recruiter who can help us build a world-class team dedicated to creating safe and beneficial AI systems. Key Responsibilities Develop and execute strategic recruiting plans to identify and source highly qualified candidates Partner with technical and non-technical hiring managers and interviewers to understand hiring needs, team matching, required skills and qualifications Implement recruiting processes and programs such as developing targeted outreach campaigns, building connections with industry leaders, and removing any unfair biases from the hiring process Collaborate with leadership and cross-functional partners to understand organizational needs and map out long-term talent acquisition strategies that balance priorities across all technical teams Enhance Anthropic’s employer brand to showcase our mission, culture, and values to candidates Provide an exceptional candidate experience throughout the recruiting process Minimum qualifications Deep full lifecycle recruiting experience, with substantial time supporting technical engineering organizations Proficiency with an applicant tracking system like Greenhouse and other modern sourcing tools Experience partnering directly with hiring managers on intake, bar calibration, and interview loop design Sound independent judgment on candidate quality, and the ability to independently partner with multiple hiring managers are complex searches Genuine interest in Anthropic's mission and in the role a strong security function plays in achieving it Preferred qualifications Experience recruiting at a high-growth technology, AI, or machine learning company Working knowledge of the security credential landscape and clear judgment about where those credentials carry signal and where they do not Experience hiring for engineering, incident response, threat intelligence, insider risk, or physical security Experience improving recruiting processes, market maps, or interview architecture where they were thin or absent Comfort using LLMs to accelerate sourcing, research, and market mapping 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: $240,000 — $295,000 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.