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Location: Berlin (Germany) Team Lead Sales DACH - Join Our Innovative Team at thinkcell Software Our Story At thinkcell, we create powerful software solutions that help professionals be more efficient and productive. Founded in 2002 and based in Berlin, our tools integrate seamlessly with Microsoft Office to help users create presentations, charts, and diagrams with ease. Our dynamic, international team values creativity, collaboration, and technical excellence. What You Will Do As the Team Lead for Sales, you will lead a dynamic team of account managers responsible for growing our existing customer base and driving new revenue opportunities across diverse industries in the DACH region. You’ll be accountable for the team’s commercial performance and development, combining rigorous sales management with hands-on coaching on account strategy, stakeholder management, and deal execution. Your leadership will directly impact the growth and success of thinkcell in this critical region. Key Responsibilities: Lead, coach, and develop a high-performing team of 7 account managers, owning performance reviews, hiring, and performance management while providing frequent, direct feedback to drive sales performance and professional growth. Own the team’s commercial performance across the DACH region, driving renewals, up-sell, and cross-sell opportunities within the existing customer base. Drive sales results through data-driven prioritization, robust forecasting, and clear performance metrics, ensuring the team focuses on the accounts and opportunities with the highest impact. Coach account managers on account strategy, stakeholder mapping, opportunity qualification, and executive-level customer engagement to build deeper, multi-threaded relationships. Coach and support the team through complex negotiations and strategic deals, helping account managers improve commercial judgment and deal execution. Collaborate with cross-functional teams (marketing, product, customer success, revenue operations) to remove barriers to sales execution and identify growth opportunities. Drive strong CRM, pipeline, and forecasting discipline, ensuring opportunities, risks, and next steps are visible and actionable. Provide regular insights on sales progress, forecast, team performance, and key opportunities or risks to senior leadership. Build a high-performance culture with clear expectations and accountability, identifying performance gaps early and translating them into focused coaching and development plans. Translate new products and commercial initiatives into effective sales motions, adapting coaching and execution based on market and customer feedback. You will be great for this position if you have 7+ years of experience in B2B sales or account management, ideally within enterprise software or product-led growth organizations. 3+ years of experience managing and developing sales teams, including formal performance management responsibilities. Proven track record as a successful B2B seller before moving into leadership, with experience managing complex enterprise accounts, driving expansion revenue, and applying strong commercial judgment. Demonstrated ability to improve seller performance through coaching, direct feedback, and strong commercial judgment. Experience in consulting, financial services, or professional services is a plus. Fluent in English and German. Proficiency in Salesforce or similar CRM systems, and advanced skills in Microsoft Office, especially PowerPoint. Highly adaptable and results-oriented, with the ability to thrive in a fast-paced, dynamic environment and maintain high standards of accountability. Strong communication and leadership skills, with the ability to challenge constructively and give clear, actionable feedback. Passionate about innovation and making an impact—ideally, with a genuine enthusiasm for thinkcell’s solutions. Our Values As part of our team, you will embody and help shape the following principles that define us: Forward Thinking : We embrace change and challenge the status quo. Ownership : We take pride in our work and learn from our mistakes. Customer First : We prioritize delivering lasting value. Unified Team : We foster collaboration, respect, and integrity. Strive for Excellence : We set ambitious goals and pursue quality. We believe in a human hiring process, every application is personally reviewed. Why is thinkcell the right place for you? We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, Boston, London, Tokyo, and Dubai, we’re a diverse team of over 240 people, committed to innovation and excellence. thinkcell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can’t wait to see what you’ll bring to the team!

Location: Lithuania; Bosnia & Herzogovina; Estonia; North Macedonia; Slovakia; Andorra; Cheyenne; Slovenia; Serbia; Malta; Montenegro; Alabama; Ohio; Latvia; Vermont; Albania; Czech Republic; Mississippi; Wisconsin; Greece; Cyprus; Netherlands; Kosovo; Yerevan; California; Arizona; Bulgaria; Oregon; Moldova; Romania; Georgia; United Kingdom; Bosnia and Herzegovina; Turkey; Portugal; Poland; Czechia; Croatia; South Africa Workplace: Remote [https://app.ashbyhq.com/api/images/user-content/b540b9e2-0673-4d2d-91fd-e293658f4f6a/12c04a5f-f67c-413f-8009-500f82e7e51e/job%20ad%20visual.png] Please be informed that Foxelli Group hires exclusively in-house and doesn't work with any external recruitment agencies. Any company or individual claiming to recruit on behalf of Foxelli Group is not affiliated with us. At Foxelli, we’re building more than e-commerce brands - we’re building a tribe of thoughtful humans: AI enthusiasts, curious builders, and ambitious minds who care about doing meaningful work together. Ten years in, our D2C brands reach millions and generate over $20M annually. Our focus stays simple: create products customers love and a team that actually enjoys building them. If you love to learn, experiment, think boldly, make decisions, and build things that matter - you’ll feel at home with us. WHY JOIN FOXELLI? Foxelli is a place for people who think deeply, learn quickly, automate repetitive work, enjoy spending time together, and build things that matter. We work hard, joke often, and don’t take ourselves too seriously. If you’re excited about AI, eager to learn, and want to create work that genuinely means something with people who care, you’ll feel right at home with us - no matter where you are in your career. THE ROLE We're looking for a Churn Specialist for our craft subscription box brands to help us get closer to our customers - understand what they actually need, spot where we're falling short, and find ways to retain them. You'll work across multiple Foxelli Group brands, investigate the full customer lifecycle, and turn data into initiatives that actually move the needle on retention. You won't just track churn numbers. You'll own the thinking behind what is happening with the brand and drive the ideas to help retain our customers. If you love: - getting into customer data and finding the story behind the numbers - mapping out a customer journey and spotting where things go wrong - testing ideas - onboarding tweaks, lifecycle flows, CRO experiments, win-back sequences, etc - using AI and automations to move faster and do more with less - understanding what makes customers stay (or leave) on a psychological level - working across multiple products and brands without losing focus - working with crafts like knitting, crochet, and quilting And if you're someone who can take a messy churn problem, break it down into clear hypotheses, and see them through to results… …you might be our person 👀 🚀 WHAT YOU'LL BE DOING Churn Analysis & Research - Analyse churn patterns across multiple Foxelli brands - when customers drop, which segments are most at risk, and what's driving it - Research competitors and benchmark what best-in-class retention looks like in our space - Use AI tools to accelerate research, surface insights, and identify patterns - Build a clear picture of our customers - their motivations, frustrations, and what "good enough to stay" actually means to them Customer Journey & Onboarding - Audit the full customer lifecycle with a churn lens - from first-touch onboarding to long-term engagement - Identify drop-off moments and experience gaps that are costing us customers - Own initiatives to improve onboarding flows and early-stage activation Retention Initiatives & Experimentation - Develop hypotheses and run experiments - lifecycle communications, CRO tests, loyalty mechanics, win-back campaigns, cancellation flows - Build and maintain automations that support retention at scale - triggered flows, at-risk alerts, personalised sequences - Use AI to generate ideas, draft copy, simulate scenarios, and iterate faster - Track the impact of every initiative and iterate based on results - Document what worked, what didn't, and why AI & Automations - Build and maintain automations that support retention initiatives at scale - Proactively explore how AI can improve the way we understand and respond to churn - Stay current with new tools and bring ideas to the table before anyone asks WHAT YOU BRING - At least 2 years of experience of direct experience fixing actual churn for a physical product - Proven experience diagnosing churn, not just reporting on it, but getting to the root of it - Comfortable working with data: cohort analysis, funnel metrics, A/B test results - Hands-on experience with customer journey mapping, onboarding optimisation, or CRO - Experience building automations: triggered flows, lifecycle sequences, or similar - Able to turn messy data into a clear point of view and present it to senior stakeholders - Has worked across multiple products or brands - Uses AI tools beyond basic prompts and actively looks for ways to automate and improve workflows THE RECRUITMENT PROCESS 1. Apply - A simple form that helps us know who’s stepping into our world. 2. Ribbon AI Interview - Ribbon is a short, guided video step that helps us understand your thinking style in a calm, private space 3. Text Task - A small real-world challenge so we can see how you approach problems in action. 4. Interview - A conversation with your manager to feel the work chemistry, get to know each other, and explore what we could build together FIXED SERVICE FEE 2,500 - 2,800 euros after taxes (depending on your skills, competencies, and experience). PERKS & BENEFITS - Full flexibility with your schedule in a fully remote setting, while Apploye ensures transparency and fairness. - Complimentary gym memberships and company-sponsored outdoor adventures for your strength and to keep your physical well-being in check. - A personal development budget is at your disposal for your personal and professional growth to ensure you keep growing continuously. - Generous paid time off, including parental leave and vacation days, to recharge and rejuvenate and ensure you’re well-rested. - A budget for your home office setup so you’re comfortable working how you like and where you like. - Strong company culture and a network of unique individuals that celebrate you. ELIGIBILITY & LOCATION REQUIREMENTS ❕This role is 100% remote. - Our tribe works primarily in the Eastern European Time Zone (EET — UTC+2/UTC+3). We also use Revolut for payments, so we are open to hiring candidates in countries where Revolut payments are supported. - For full-time roles, we ask that you’re available for at least 5 hours during typical EET working hours — it keeps collaboration smooth and communication easy. (This doesn’t apply to part-time roles.) Currently, we are hiring in Albania, Bosnia and Herzegovina, Croatia, Czech Republic, Estonia, Greece, Georgia, Kosovo, Latvia, Lithuania, Moldova, Montenegro, North Macedonia, Poland, Portugal, Romania, Slovakia, Malta, Slovenia, Serbia, Cyprus, Bulgaria, Hungary, Netherlands, the United Kingdom, and South Africa.

Location: Senegal (Remote); France (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects. In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others. You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations. WHAT YOU’LL DELIVER - Depending on the task, you may be asked to generate original content or assess AI-generated outputs. - Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit. - Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches. - Provide concise, structured annotations that can be used directly for model improvement. - Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards QUALIFICATIONS - Native fluency in the target language - Strong command of English - Experience as AI reviewer, annotator, or evaluator preferred - Comfortable working with both textual and audio/video materials - Ability to follow detailed guidelines consistently and provide clear feedback - High attention to detail and ability to thoroughly and accurately categorize content WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY 1 - Submit your application including an updated copy of your CV in English 2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills 3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: Munich, Germany About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic, you will be a pre-sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Native or C1 German speaker with fluent English proficiency Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Deadline to apply: None. Applications will be reviewed on a rolling basis. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Warsaw The Data Engineering team’s mission is to ensure high-quality data to enable data-informed decision-making across Asana. You will build data artifacts that are leveraged by a wide range of stakeholders in the marketing domain, and create frameworks and tooling used by all data and analytics engineering teams. In this role, you will also partner both with business stakeholders and with the Data Infrastructure team. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you’ll achieve Design, implement and scale end-to-end data products that support growing data processing and analytical needs. Influence best practices in Databricks and cloud-based data engineering, driving innovation and adoption across teams. Leverage AI to build self-serve tools and accelerate Data/GTM workflows. Establish trust and strong relationships across business and technical teams, ensuring alignment on data strategy and execution. Implement systems that guarantee data quality, governance, and availability. About you 3+ years of hands-on experience in Data Engineering or Software Engineering. Degree in computer science, engineering or equivalent technical field experience. Proficient in cloud-based data processing and storage technologies like Databricks, Spark, Airflow. Fluent in SQL and proficient in at least one modern programming language (e.g., Python, Scala, Java). Proactive self-starter with a proven ability to identify opportunities, propose innovative solutions, and execute them effectively. Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. What we'll offer Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.) Contract of Employment ( with 50% tax deductible costs for author’s rights usage for Engineers) Health insurance with dental and travel coverage (Lux Med) Lunch catering on the days that you work from the office Career growth budget Home office setup budget Gym/Fitness reimbursement Fertility healthcare and family-forming support with Carrot Mental health support in Modern Health Group life insurance MacBooks with all necessary accessories For this role, the estimated base salary range is between 20,833 - 30,000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified. Our total compensation consists of base salary and equity (RSUs). #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Lafayette, United States Overview We are partnering with a rapidly growing, multi-entity professional services organisation to appoint a Director of Accounting. This is a high-impact leadership role responsible for standardising accounting practices, driving operational excellence across multiple entities, and ensuring accurate, timely financial reporting. The successful candidate will lead accounting operations across multiple entities and locations, improve close timelines, support post-acquisition integration, and enhance financial visibility for executive leadership. This role is ideal for a hands-on accounting leader with experience in multi-entity environments and a strong focus on process improvement and accountability. Key Responsibilities Lead and oversee the accounting operations across multiple legal entities Drive month-end close processes with a target close timeline of Day 10 Standardise accounting policies, chart of accounts, and reporting frameworks across entities Ensure compliance with GAAP and all regulatory requirements Oversee audit processes and coordinate with external auditors Develop and manage rolling cash flow forecasts (minimum 8-week visibility) Establish strong internal controls and financial governance Supervise and mentor accounting staff, including remote bookkeepers Support integration of newly acquired entities, including system and process alignment Partner with executive leadership to deliver clear, decision-ready financial insights Identify and resolve reporting discrepancies, inefficiencies, and risk areas Requirements Required Qualifications Bachelor’s degree in Accounting, Finance, or related field 8+ years of progressive accounting experience, including leadership responsibility Demonstrated experience managing multi-entity accounting environments Strong knowledge of U.S. GAAP Experience overseeing month-end close processes in complex organisations Proven ability to improve systems, controls, and reporting processes Experience supervising and holding remote teams accountable Strong analytical, organisational, and communication skills Experience with cloud-based accounting systems (e.g., QuickBooks Online or similar) Preferred Qualifications CPA designation Experience within professional services, architecture, engineering, or project-based industries Experience in private equity-backed or acquisitive organisations Direct experience integrating acquired entities Experience working closely with executive leadership teams Benefits Base Salary: USD $90,000 – $135,000 per year (based on experience and location) Bonus: Eligible for an annual performance bonus Benefits: Competitive benefits package Time Off: Paid time off and company holidays Keller is a recruitment agency that provides services to clients ranging from startups and non profits to multinational corporations. Keller emphasizes ethical search processes, attentive candidate care, and leadership placements that support long-term client outcomes. To learn more about the firm and about our candidate services - please visit Executive Recruiters United States: Leading Executive Search and Headhunting Firm in the USA Equal Employment Opportunity and Non-Discrimination Policy Equal Employment Opportunity Statement : Both Keller Executive Search and our clients are Equal Opportunity Employers. For all positions, whether with Keller Executive Search or our clients, qualified applicants will receive consideration for employment without regard to race, skin color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran status, disability, genetic information, or any other legally protected status. 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Privacy and Pay Equity: California Residents : For more information about the categories of personal information we collect for recruiting and employment purposes, please review our Privacy Policy at www.kellerexecutivesearch.com. Colorado, Nevada, New York City, California, and Washington Residents : Compensation information is available in the job post or will be provided during the interview process if not initially available. Both Keller Executive Search and our clients are committed to pay equity and conduct periodic pay equity analyses in accordance with applicable laws. State-Specific Information : Rhode Island : We do not request or require salary history from applicants. Connecticut : We provide wage range information upon request or before discussing compensation. New Jersey : We do not inquire about salary history unless voluntarily disclosed. Veteran Status : Both Keller Executive Search and our clients provide equal employment opportunities to veterans and comply with applicable state laws regarding veteran preference in employment. If you are a veteran, please inform us during the application process. Genetic Information : In accordance with federal and state laws, both Keller Executive Search and our clients do not discriminate based on genetic information. We do not request or require genetic information from applicants or employees, except as permitted by law. Local Laws : Both Keller Executive Search and our clients comply with all applicable local laws and ordinances regarding employment practices in the areas where we operate. Use of Artificial Intelligence in Recruitment Keller Executive Search and our clients may use artificial intelligence (AI) tools to assist in the recruitment and candidate evaluation process. These tools are used exclusively to support human decision-making by helping to review and assess candidate qualifications and materials. AI is never used to automatically reject, disqualify, or make final hiring decisions about candidates. All AI-assisted evaluations are reviewed by experienced recruitment professionals, and all hiring decisions are made by qualified human recruiters. Our use of AI is designed to enhance fairness, consistency, and efficiency while maintaining our commitment to equal employment opportunity and non-discrimination principles. Note: This job posting may be for a position with Keller Executive Search or one of our clients. The specific employer will be identified during the application and interview process. Employment laws and requirements may vary depending on the employer and location.

Location: Buenos Aires Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT HALTER At Halter, we're on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break — no quad bikes, no dogs, no fences. People say it looks like magic. It's changing lives and transforming an industry. We're backed by Tier 1 investors including Founders Fund, Bessemer Venture Partners, BOND, DCVC, Blackbird, Promus Ventures, Rocket Lab's Peter Beck and Icehouse Ventures. ABOUT THE ROLE South America is one of Halter's most important growth frontiers, and this role owns finance for the entire region. Based in Buenos Aires — where we're standing up our regional office — you'll be the single finance leader on the ground, accountable for everything from tax and local statutory audits to FP&A, revenue planning, and the finance strategy that supports Halter scaling in-market. Reporting to the VP of FP&A, you'll have real autonomy over how the region's finance function takes shape. This is a build role. The function doesn't exist yet; you'll stand it up. You'll set up the entity and controls, get the compliance backbone right, and then build the planning and partnering capability that lets the regional business make sharp decisions fast. You'll partner with the regional GM and leadership while plugging into the global finance team. If you want genuine ownership of a whole region's finances at a pivotal moment — and you'd rather build the function than inherit one — this is it. WHAT YOU'LL OWN - The complete South America finance function, from ledger to strategy. - Tax and statutory compliance across the region, including structuring, filings, transfer pricing, and staying ahead of Argentine and regional regulatory complexity. - Local audits and statutory reporting. - Local accounts receivable and supplier negotiation and onboarding. - Regional FP&A — planning, forecasting, and management reporting that gives leadership a clear read on where the business stands. - Revenue planning — partnering with sales leaders on the ground and our Revenue Operations team in New Zealand to produce robust sales plans that guide growth in the region. - Finance strategy and partnering — being the finance voice at the regional leadership table, and building the team as the region scales. - Treasury — cash management, FX and liquidity, keeping the region funded and resilient in a volatile currency environment. - Operational finance matters in the region, including HR and Property. WHAT YOU'LL BRING Must-haves: - Senior finance leadership experience, ideally spanning both controllership/compliance and FP&A — you've owned the full stack, not just one slice. - Strong knowledge of Argentine and broader South American tax, statutory audit, and regulatory environments. - Strong financial modelling and planning capability — you can own the numbers and make them trusted. - Fluency in Spanish and English. - The seniority and presence to partner leadership, operate independently whilst you build a team and take ownership. - Comfort with ambiguity and a genuine builder's instinct — you're energised by standing something up, not maintaining it. Nice-to-haves: - Experience setting up finance functions or entities in a new market. - Exposure to a high-inflation / complex-currency environment. - SaaS or hardware-enabled SaaS background. - A track record of using AI to create leverage across finance. HOW WE'LL KNOW YOU'RE WINNING - Compliance backbone is solid — tax, audits, and statutory reporting are clean, on time, and no longer a source of risk. - Leadership runs on your numbers — regional decisions are backed by planning and reporting they trust. - Revenue planning is sharp enough to guide where and how fast the region scales. - You've begun building the team and function that outlasts any one person. This role is Absolute Ownership in its purest form — you're the driver of finance for an entire region, no passenger seat. It rewards someone who works From First Principles to build the right function rather than the familiar one, and who can Embrace Discomfort operating at the edge of a fast-scaling market. OUR BENEFITS - Importantly, we offer an inclusive and attractive remuneration package made up of salary, benefits and restricted stock units, so you own a part of what we’re building. - Healthy body, healthy mind. You’ll be on the OSDE 410 plan, fully paid by Halter with dependents included, giving you comprehensive maternity cover, dental and vision, and complementary therapies like acupuncture. - Mental health matters. You’ll have access to up to 30 sessions per year of individual or group therapy, plus up to 15 sessions per family group for bonding therapy. - Our personal growth is important. Halter offers an annual US$750 personal growth fund to be used for anything that fuels personal growth. - We offer 26 weeks of paid parental leave for primary caregivers, 4 weeks of paid leave for the other parent, and flexible return-to-work options. OUR OFFICE FIRST APPROACH Humans are wired for connection. Being office first is a core pillar of our culture because in-person connections drive your growth, learning, impact, and relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful work together. We're office first, not office only. Working from the office is our default, but we flex when needed. We have a high-trust culture where everyone is trusted to do what's best for Halter. Our office vibe is special, the high energy and spectacular people make work enjoyable. Your growth and impact are unlimited here, coming from solving problems, innovating, and constantly learning from each other. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: Luxembourg (Remote) Workplace: Remote ABOUT LILT LILT works with native speakers and subject-matter experts around the world on AI training projects, such as recording, transcription, writing and review. Our contributors help make AI work better in their language. ABOUT THIS PROJECT We’re looking for native speakers of Luxembourgish to help create audio data for speech technology in their language. WHAT YOU’LL DO You can sign up for one or both kinds of work: Record audio. Speak naturally on everyday topics, on your own or in a conversation with another speaker. There’s no script. Recordings are 2 to 15 minutes each. Transcribe audio. Listen to recordings and write out exactly what was said. HOW IT WORKS Fill out this short sign-up form. It takes just a few questions and works on your phone. We’ll email you a short, unpaid sample test for recording, transcription or both. Once you pass, you’ll complete onboarding: a contractor agreement, a background check and payment setup. You’ll then get access to our platform and can start working. PAY You’re paid for each hour of approved audio you record or transcribe. Rates depend on your language and the type of work, and we’ll share yours before you start. If someone from LILT is helping you sign up, they can answer any questions as you go. QUALIFICATIONS - Native fluency in Luxembourgish - English Comprehension - Experience as AI reviewer, annotator, or evaluator preferred - Comfortable working with both textual and audio/video materials - Ability to follow detailed guidelines consistently and provide clear feedback - High attention to detail and ability to thoroughly and accurately categorize content Why Collaborate with Lilt? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY 1 - SUBMIT YOUR APPLICATION INCLUDING AN UPDATED COPY OF YOUR CV IN ENGLISH 2 - COMPLETE A SHORT ASSESSMENT TO EVALUATE LANGUAGE FLUENCY 3 - ONBOARD AND BECOME ELIGIBLE FOR OTHER AVAILABLE PROJECTS #LI-JG1 AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

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 The Corporate Network Engineering team owns Anthropic's corporate network: the wired, wireless, and edge infrastructure in our offices and research facilities around the world, and the standards, management systems, and telemetry that let a small team run them. We hold that network to the bar of a production service — designed for failure, managed as code, observable end-to-end, and secure by default — while delivering reliable connectivity to the people who depend on it every day. You'll set the technical direction together with your engineers and own the final decision on it and on the architecture standards, review and guide designs and the hard trade-offs, and lead vendor and platform decisions. You'll lead and grow a small team of network engineers: set priorities, drive decisions to closure, hire, and develop people. The team is small and the scope is broad, so this role needs real depth in campus and edge networking, judgment about what to standardize, automate, buy, and build, and the range to go from a wiring-closet decision to a budget defense in the same afternoon. You'll report to the head of IT Engineering and partner closely with our Buildouts, AV, and Endpoint teams; with Security Engineering on network security, authentication, and detections; with Physical Security, whose systems are critical for protecting Anthropic employees and depend on a reliable network; with Workplace, Real Estate, Procurement, and external logistics and integration partners on new site buildouts; and with our production networking teams, whose bar for reliability and automation is the one we hold ourselves to. Your work will directly shape how we scale to AI Safety Level 4 and beyond. Responsibilities Lead and grow the Corporate Network Engineering team — hiring, development, performance, planning, and prioritization Set technical direction with the team and own the final call on architecture standards across edge, campus switching, wireless, segmentation, out-of-band management, and telemetry; review designs and risky changes, and step in on the hard problems Own reliability and operations: monitoring people act on, incident response and post-incident reviews that produce changes, an on-call and escalation model a small team can sustain, change safety, and lifecycle currency Move the fleet toward network-as-code: templated configuration with change control, staged rollouts, drift detection, and automation that removes operational toil Partner with Security Engineering and Detection & Response on network authentication, segmentation, and the network as a detection source Deliver networks for new offices and research facilities and upgrade existing sites through live migrations — with Buildouts, AV, Physical Security, Workplace, Real Estate, and our logistics partners — while keeping interruptions to employees minimal Own vendor, carrier, and integrator relationships and the network hardware budget: evaluations, contracts, lead times, and multi-year refresh You may be a good fit if you Have 10+ years designing, building, and operating enterprise campus and edge networks, including at least one environment with dozens of sites across regions Have 5+ years leading engineers, including at least 3 years as a people manager Lead through technical judgment: whether or not you've been hands-on-keyboard lately, you can go from architecture to protocol behavior to failure modes with your engineers, and your reviews make their designs better Default to the secure design, then do the creative work to make it painless for the people using it — and can walk an executive or an engineer through the trade-off and make a recommendation Have run the operational side, not just designed it: out-of-band access, monitoring people act on, an on-call model a small team can sustain, and change safety Are pragmatic about what to build, buy, or automate, have run vendor evaluations with real money at stake, and chase problems across organizational boundaries to the actual root cause Communicate clearly with engineers, executives, contractors, and landlords, and can bring a room of senior engineers with strong opinions to a decision they'll commit to Want real technical ownership with a small team — including if you've led a larger organization before — and care about building infrastructure for an organization trying to get AI right Strong candidates may also Have led corporate networking at a company that added offices faster than it added network engineers Have implemented certificate-based network authentication (802.1X/EAP-TLS or equivalent) and identity- or device-based segmentation at scale Have shipped network configuration as code and built telemetry pipelines that security and support teams actually use Have designed dense wireless for large event spaces and high-occupancy floors Have been through multiple office builds with real estate and construction teams — including networks that physical security systems depend on — and know what to ask for before the walls close Have managed integrators, MSPs, or smart-hands providers as an extension of a small team while keeping design authority in-house Technical Skills We're looking for deep, hands-on experience in each of these — not surface familiarity: Enterprise edge: firewalls and routing (HA design, routing protocols, policy management across a fleet) Campus switching and high-density enterprise wireless (L2/L3 design, redundancy, RF design, 6 GHz, high-density venues) Segmentation and access control (certificate-based 802.1X, dynamic segmentation, guest and IoT isolation) Out-of-band management and secure, auditable administrative access Network automation and configuration as code (Python, templating, vendor APIs, source control, CI) Network observability (streaming telemetry, flow and log pipelines) Physical infrastructure for buildouts (MDF/IDF design, structured cabling, power and cooling, carrier and path diversity) Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Ukraine OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is a demand generation company providing solutions to B2B organizations. We help clients and partners to deliver audience, buyers, and account engagement that meets their goals. With a global team operating across more than 60 countries, the company has been recognized multiple times on the prestigious Inc. 5000 list, and has received over 60 other industry awards, including Inc. Best Workplaces. You must have a proven record of writing long-form B2B content, such as eBooks, white papers, guides, infographics, articles, etc., as well as great communication skills and spoken English. Our ideal candidate has a great eye for detail, is passionate about writing content across various industries, is able to meet deadlines and consistently deliver high-quality work while adapting to client requirements and expectations. Please submit at least two writing samples, so we can get a feel of your writing style and approach. You must have: Excellent writing skills Native-level English (or C1 minimum) 2+ years of experience writing B2B content Technical writing experience preferred Good research skills An ability to understand complex terminology Experience writing for different industries and clients (preferred) Great attention to detail If you are: Passionate about writing Creative Interested in tech Eager to learn An independent worker Highly organized Agile and proactive Solutions-oriented A team player Able to work EST hours We’d like to hear from you!

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking research scientists with deep expertise in experimental chemistry to join the team. We welcome chemists from across the field, including medicinal, synthetic organic, physical organic, organometallic, inorganic, analytical, physical, and materials chemistry, as well as formulation science. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be an expert in your area of chemistry with hands-on experience designing, and running experiments, from synthesizing, purifying, and characterizing compounds to studying reaction mechanisms and kinetics. Above all, you'll close the loop between AI-generated hypotheses and experimental data to share with the community. Working alongside AI researchers and engineers, you'll drive experimental programs end to end and pressure-test AI-designed molecules, AI-proposed synthetic routes, and AI-predicted mechanisms and properties against real chemistry. This role is fully on-site in the San Francisco Bay Area. Key responsibilities Depending on your area of chemistry, you will: Design multi-step synthetic routes for small molecules and oversee their execution end to end, including route selection, reaction optimization, purification strategy, and interpretation of full characterization data (NMR, LC-MS, HPLC) Design and run mechanistic, kinetic, and spectroscopic studies to explain and predict reactivity, selectivity, and molecular properties Prepare and characterize inorganic and organometallic compounds, materials, and formulations, and relate their composition and structure to their properties Coordinate synthesis and biological evaluation with external contract research organizations and academic partners Evaluate AI-designed molecules, AI-proposed synthetic routes, and AI-predicted mechanisms and properties, drive them to experimental readout, and feed results back to research teams Generate experimental and computational data, for example from quantum mechanical calculations, that research teams use to train and evaluate AI models Apply medicinal chemistry principles, including SAR analysis and physicochemical property optimization, to compound design and prioritization Ensure experimental data across programs is high quality and well documented, including procedures, spectra, and failure modes Communicate findings clearly to chemistry, AI research, and life sciences audiences Minimum qualifications PhD in chemistry Demonstrated depth in your area of experimental chemistry (for medicinal chemists, SAR-driven design and optimization of small molecules,), with recent, sustained hands-on laboratory work Comfort navigating ambiguity and defining problems in a rapidly evolving research environment Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications 5+ years of experience in your area of chemistry beyond the PhD For medicinal chemists, a track record of advancing programs from hit identification through lead optimization Experience directing chemistry activities at contract research organizations Computational chemistry, cheminformatics, or coding skills, for example quantum mechanical calculations (DFT) or Python with RDKit or pandas for data analysis and automation Experience using AI or ML tools in chemistry or the life sciences Publications and/or patents demonstrating scientific impact 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote USA Workplace: remote ABOUT YOU We are looking for a Head of Fund Analytics & Automation who is a hands-on builder, rigorous with data, and fluent in finance conversations to join our Credit Fund team in the office of the Chief Credit Officer. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to design, build, and operate the fund's entire data and automation stack end to end — and then own it as the fund goes live. The credit fund is being built with a deliberately small team. Instead of hiring several analysts and operations staff, we want one senior technical hire who can do both: engineer the platform and sit across the table from investors and borrowers. Underwriting here is built on real payment telemetry — including Xsolla transaction data — and that data edge is the foundation of this role. Strong SQL, Python, and production automation skills are essential, along with real experience in portfolio analytics, market risk, or credit. The ability to ship audit-grade systems and then defend the numbers in front of LPs and borrowers will be key to your success in this role. The role starts as a builder and becomes the owner-operator of the platform, with a growing seat in underwriting decisions and, as the platform and deal volume grow, scope to hire and lead a small team. If you're passionate about applying AI-governed automation to private credit and love building the systems that let a lean team punch far above its weight, we would love to hear from you! ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities First 6 months — priorities in order - Deal pipeline live: origination intake through credit committee, with the full audit trail. - Scoring data layer: borrower financials and payment telemetry ingested, stored, and under documented data contracts. - LP / fundraising pipeline instrumented, and first investor reporting shipped. Explicitly out of scope: legal documentation, fund administration, and accounting — these sit with external providers. Phase 1: Build (through first close) Deal pipeline management - Design and run the full deal workflow: origination intake, screening, scoring, credit committee, closing. - Implement it as governed automation (workflow orchestration such as n8n or similar, with LLM-assisted steps where they add value): every automated output validated against a defined schema, low-confidence results routed to human review, and a complete audit trail suitable for LP due diligence. Scoring and underwriting data layer - Build the ingestion and storage layer for borrower financials and payments telemetry (including Xsolla transaction data) — PostgreSQL or equivalent, ETL pipelines, materialized views, documented data contracts. - Develop credit scoring and forecasting models in Python, with proper train/test discipline, leakage and PII exclusion, and ongoing monitoring for drift and degradation. - Maintain evaluation and regression checks so model and automation quality is measured continuously, not assumed. Fundraising / LP pipeline - Build and operate the investor pipeline: CRM automation, conference and referral pipeline tracking, follow-up orchestration, and data room preparation and upkeep. - Instrument the pipeline so we always know conversion rates, stage aging, and next actions per LP. Investor and borrower dashboards - Ship reporting for both audiences: fund-level metrics for investors, facility-level metrics for borrowers. - Numbers must reconcile to source systems and be reproducible outside the BI tool — audit-grade, not demo-grade. Tableau / Power BI or a lightweight web dashboard, whichever fits. Reliability, cost, and security of the stack - Budget caps and cost monitoring on all AI-assisted automation; regression canaries before changes ship. - Access control and data protection appropriate for fund data: deny-by-default permissions, audit logs, strict handling of LP identities, borrower financials, and deal terms. - Documented runbooks and handover-ready documentation as part of "done" — the stack must be operable by someone other than its author. Phase 2: Operate (post-close) - Move into an operating role on the underwriting side: portfolio monitoring, covenant and collateral tracking, scenario and stress analysis. - Extend the platform to other investment types and support the capital formation team with the same pipeline and reporting infrastructure. Client and investor facing This is not a back-office role. The person will join investor and borrower meetings, present the dashboards and the numbers behind them, and field diligence questions directly. Fluency in finance conversations is as important as engineering. The person will also respond to LP operational due diligence questionnaires on the data and automation stack. Qualifications and Skills Required - 7+ years across data analytics / data engineering, including recent hands-on experience building and running production automation (not prototypes or notebooks). - Proven production experience with LLM-based automation: schema-validated outputs, human review gates, evaluation and regression testing, cost-tiered model routing. - Strong SQL and Python; ownership of a PostgreSQL (or similar) data platform end to end — ETL, materialized views, performance tuning, data contracts. - Workflow orchestration experience (n8n, Airflow, or comparable). - BI and dashboarding: Tableau, Power BI, Qlik, or equivalent web dashboards; a track record of reporting that executives actually used for decisions. - Security discipline for sensitive data: role-based access, deny-by-default policies, audit trails, PII handling. - Finance background: degree in finance or quantitative field plus real experience in portfolio analytics, market risk, or credit — able to hold their own in an underwriting or investor conversation. - Strong written and spoken English; comfortable presenting to senior external audiences. Preferred - Direct exposure to private credit, lending, or fund operations. - Forecasting and statistical modeling track record (capacity planning, SLA/risk forecasting, or similar). - Experience with embeddings / semantic search and multi-model AI setups. - Web development ability (React / TypeScript or similar) for internal tools and dashboards. - Experience in audited or regulated environments (SOC 2, fund audits, or equivalent). Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration For the Head of Fund Analytics & Automation — Credit Fund position, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Credit history check Relevance to Job Responsibilities The background check is relevant to this position because of the following role responsibilities: Handling sensitive financial information and supporting fund analytics, financial models, and deal data Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: 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 Claude serves millions of individual users alongside enterprise clients. Safeguards Engineering develops the foundational infrastructure that ensures its safe use: robust access controls, active abuse detection, real-time probes and classifiers within the inference pipeline, offline monitoring for review, and the underlying systems powering it all. Operating at scale and velocity, we continuously adapt to technology whose capabilities and risks evolve weekly. The Safeguards Data team owns the data lifecycle for Safeguards—routing user data and safety metadata from online systems into offline storage and enabling access for downstream teams. Our goal is to provide privacy-safe access to sensitive data for approved uses while ensuring performance, reliability, and minimal blast radius. We prioritize security by design, embedding controls directly into systems operating across AWS, GCP, Azure, and customer-managed environments. This is a systems engineering position within a small, newly established team. Rather than managing an existing backlog, you will have the autonomy to own a problem domain, establish its technical vision, and shape the team's trajectory. Key responsibilities Design, build, and operate the stores, pipelines, schemas, and APIs that Safeguards' detection, evaluation, investigation, and review systems read from. Build privacy-safe interfaces that allow ML training, evaluation, and investigation workflows to utilize sensitive data without requiring broad access to raw records, ensuring access is tied to purpose and built-in lineage. Scale the distributed storage, ingestion, and processing systems operated by Safeguards, maintaining cost efficiency, reliability, and portability across deployment environments. Collaborate with investigators, researchers, legal, privacy, and security teams to translate operational requirements into functional mechanisms and systems for safe data utilization. Uphold a high operational bar by participating in the on-call rotation, leading incident reviews, and continuously reducing manual operational overhead. Lead through technical design by authoring foundational proposals and conducting cross-team architectural reviews. Minimum qualifications Have strong systems fundamentals (processes, threads, RPC, storage, and how systems fail) and have built and operated large-scale, fault-tolerant distributed systems Have built and operated systems that handle sensitive or high-value data, with access, privacy, retention and security controls designed in from the start Have a track record of building platforms or internal tooling that other teams widely adopt Have led the technical design of projects that span several engineers or teams Learn quickly and adapt: you're comfortable with ambiguity, a fast pace, and systems or languages you haven't used before Care about the impact of your work and about making AI safe, use good judgment about what matters most, and can explain technical trade-offs to non-technical partners Preferred qualifications Proficiency in one or more systems languages (e.g., C, C++, Rust, Go) 8+ years of experience as a software engineer, and a Bachelor's degree in Computer Science, Software Engineering or comparable professional experience Experience building data infrastructure for ML: training datasets, offline batch inference or evaluation Experience with data governance requirements in a regulated or high-sensitivity domain Fluency with agentic coding tools such as Claude Code The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's consulting and systems integration partners now sell and deliver Claude work at growing volume, and selling alongside partners is working. What matters next is delivery: whether the partner completes the work, whether the customer's Claude usage grows and holds, and whether the outcome is good enough that the customer asks for that partner again. The Partner Success Lead owns that outcome. You will hold a book of in-flight customer engagements across a set of managed partners in North America. From the day our Partner Delivery program matches a customer engagement to a partner in your book, you own it to a completed outcome: the work finishes on scope, the customer's Claude usage grows, and a stalled engagement gets diagnosed and unblocked before the customer disengages. You wake up every day on one question: what is each partner in my book doing, and is the work getting done. Key responsibilities: Own every customer engagement in your book from partner match to completed outcome. Know the state of each one every week: scope, timeline, blockers, and the customer's Claude usage trend. Run the weekly delivery review across your book, and bring stalled or at-risk engagements to the weekly at-risk account review with a diagnosis, an owner, and a specific ask rather than a status list. Unblocking. Partner capacity, scope creep, customer readiness, product questions, deal-registration conflicts, and customer dissatisfaction with partner work: get each issue to the right internal team and stay on it through resolution. Own delivery quality and consumption across your book. Track engagements completed on time, time from match to completion, delivered consumption and weekly active use on the customer accounts your partners serve, and the accounts trending toward at-risk. Build senior relationships with each managed partner's practice and delivery leadership. Together with the Partner Account Manager and other Anthropic counterparts, establish the executive-level trust that lets you ask a partner to restaff, escalate, or invest — and be taken seriously — when an engagement needs it. Build each partner's Claude practice as the compounding work: certified bench depth, one repeatable offering in a chosen industry lane, and a published customer story from each completed engagement, so the next engagement needs less from you. Turn what works into methodology. Convert the moves you prove in your book into named, reusable best practices — engagement review packs, unblocking plays, practice-building guides — written clearly enough to be shared at scale across partners, the Partner Success team, and the contract delivery team running the same loop. Run the quarterly practice review with each managed partner's alliance and delivery leads: joint goals on completed customer engagements, customer adoption, certified practitioners, references, and industry positioning. Present and persuade across audiences. Deliver partner executive briefings, practitioner enablement sessions, and internal reviews with equal command — this role is regularly the voice of Partner Success in front of a partner's leadership, a delivery team, a customer, or Anthropic's own leadership. Steward funding requests from partners in your book. Recommend for or against co-investment and program funding requests against a stated outcome, and reconcile against milestones. The bar is outcomes, not consultant hours. Work the handoffs cleanly: from Partner Sales when a partner deal closes, and from the Partner Delivery program when an engagement is matched to a partner in your book. Coordinate with the Partner Account Manager on any strategic partner that has one, with Customer Success Managers on customer-side account health, and with Anthropic's direct sales field on joint accounts. Instrument your book and know its numbers: engagements in flight and completed, stall rate and days to unblock, delivered consumption per partner, certified practitioner counts, and partner health trajectory. Run your book Claude-first. Telemetry drafts the diagnosis; you validate it and act. Claude drafts your review packs, status notes, and escalation briefs; you own the judgment, the exceptions, and the unblocking. Feed what you see in the field back into the packages, playbooks, tier rules, and health rubric the team runs on. Minimum qualifications: Experience owning a high-volume book of concurrent customer engagements, projects, or accounts (roughly 10 to 30 at a time) to completed outcomes, in a partner success, customer success, delivery management, or technical account management role. Ability and appetite to build structure, clarity, and programmatic motions out of in-flight work, while delivering engagement by engagement. You have written something down — a review format, a checklist, a play — that others ran without you, and you want to do more of that; growing that into the operating playbook a wider team runs is the senior end of this role, not the entry bar. This role scales by what you write down, not by added hours. Track record of a number tied to completed work and customer behavior (on-time delivery, adoption, retention, consumption, expansion) rather than contract signature, and an operating rhythm you built to hit it. Judgment on delivery quality: you can review a partner's engagement plan or scope and tell whether it will finish on time and produce usage, and you ask the follow-up question that surfaces the real risk. Escalation and unblocking judgment across a matrix (partner, customer, direct sales, customer success, product): you know which stall belongs to whom, you get help fast, and you stay engaged to resolution. A convincing speaker and presenter to all kinds of audiences: partner executives, delivery practitioners, customers, and internal leadership. You can carry a quarterly practice review, an enablement session, and an executive escalation in the same week and land each one. Deep understanding of how customer success works in a usage-based business; you have held a number tied to customer behavior and can read a consumption trend and act on it. Enough technical fluency to be credible in a delivery review. You do not need to write code, but you can follow a partner architect's walkthrough of a real Claude engagement and ask the substantive second question. Active daily use of Claude or another large language model as part of how you work: preparing reviews, drafting account plans, and analyzing your book. We will ask you to walk us through a recent deliverable. Preferred qualifications: 5 to 8 years working with consulting and systems integration partners, or in delivery-facing customer success at a software company, cloud platform, or partner-led business. Direct experience with systems integrators (global firms such as Accenture, Deloitte, Capgemini, Infosys, TCS, or Wipro, or regional and boutique firms) and an understanding of how their delivery practices are staffed and run. Experience running at-risk or red account reviews and turning stalled work around. Experience anchoring a surge team: setting the playbook and the review pack that a group of contract or offshore delivery coordinators ran, and holding the quality bar across them. Depth in a specific industry vertical (financial services, healthcare, public sector, retail, or manufacturing) where you have carried a book of partners or customers. Experience stewarding co-investment funding or market development funding against specific outcomes, with formed opinions about what works and what does not. Experience running quarterly business reviews with consulting firm practice leads, and a sense of what makes them productive rather than ceremonial. Experience on a new team where the operating model was being written while you ran the book, and you shipped both. 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: $215,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Head of Technology Partnerships, you will make Claude's ecosystem of technology partners a primary engine of distribution, customer retention, and product innovation. This is a senior leadership role with no inherited playbook. You are a high agency leader and have a track record of building new functions and capabilities. You will set the strategic technology partner strategy, hold the senior relationships with partner executives, drive high-stakes strategic partnerships, build and scale joint businesses, manage technology partner leads, and drive business impact. You are highly commercial and fluent with technical capabilities. You will collaborate with Sales, Business Development, Product, Applied AI, Partner Programs, and Partner Marketing. Key responsibilities Set Anthropic's technology partner strategy: priority partners, investment levels, and business goals across strategic partners. Hold the executive relationships with our most strategic technology partners, establish joint business plans, and lead the highest-impact partnerships Define the "better together" story with each strategic partner, including the products, use cases, and industries we will take to market together, the ones we will not, and how we handle overlap between our products and theirs. Create repeatable co-build, co-sell, co-market, and marketplace motions. Shape partnership structures with Business Development and account teams across product integration, commercial terms, distribution, and joint go-to-market, then take accountability for outcomes once agreements are signed Represent technology partners inside Anthropic: shape product requirements for connectors, plugins, and Marketplace, and influence developer experience, partner economics, and program design. Build the measurement system for evaluating partner health and business impact. Minimum qualifications Have built and led a technology partnerships, alliances, or strategic partnerships function, including hiring and managing partner leads and owning the organization's revenue or consumption target Have personally led strategic partnerships with large enterprise software companies at the executive level Have delivered on complex partnerships that combine product integration, commercial terms, distribution, and joint go-to-market, working alongside legal, finance, and product Understand AI platforms, SaaS and consumption business models, cloud marketplaces, and enterprise go-to-market well enough to design a joint solution with a partner's product and field leaders, and to explain how Claude is embedded in and consumed through a partner's product Have credibility with partner C-level executives and with internal product, engineering, sales, finance, legal, and marketing leaders, and lead through influence in a matrix where account executives own the customer relationship Care about the safe and beneficial development of AI, and want the partnerships you run to reflect that Preferred qualifications Experience standing up an ecosystem business or partner function from scratch at a high-growth company and scaling it from first hires to a multi-team organization Experience leading partnerships, marketplace, or ecosystem with enterprise SaaS, data platform, or cybersecurity companies Experience building industry-specific or use-case-specific go-to-market plays with a partner and taking them to production at joint customers Working familiarity with how AI applications and agents are built on model APIs, agent SDKs, and the Model Context Protocol 12+ years in technology partnerships, business development, platform ecosystems, or enterprise software, including several leading teams The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 — $425,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. The Finance, Brokerage and Market Risk Data Science team is a dynamic group of data scientists and analytics developers who deliver high-quality financial metrics and advanced analytics that drive key decisions at Wealthsimple. We support financial planning, treasury operations, liquidity management, and brokerage risk assessment for products like margin trading and options. Our team has created a solid foundation for data-driven financial decision-making. Now we're ready to scale these initiatives, optimizing financial resources and enhancing risk management as our product offerings grow increasingly sophisticated. In this role, you'll make a significant impact through advanced analytics that support both strategic financial planning and sophisticated market risk management across our expanding brokerage services. IN THIS ROLE, YOU WILL HAVE THE OPPORTUNITY TO: - Own the development and maintenance of the finance and market risk data marts, optimizing for performance, data quality, reliability, and efficiency - Design, build, and document robust data pipelines that generate critical financial reports and metrics for stakeholders across the organization - Build, automate, and maintain brokerage reporting & monitoring systems, ensuring data integrity and accuracy across financial processes - Partner closely with business stakeholders in brokerage and market risk to launch and support new financial products and model development initiatives - Create insightful dashboards and visualizations to monitor brokerage KPIs, profitability metrics, and regulatory reporting requirements - Provide business intelligence support for trade and collateral monitoring, financial reporting, product performance analysis, and forecasting initiatives - Translate complex business requirements into scalable analytics solutions that address key financial and risk management needs - Participate in code reviews and contribute to best practices for data engineering and analytics development - Mentor junior team members and share knowledge to elevate the team's technical capabilities WHAT YOU BRING: - 5+ years of experience in data engineering or analytics development, with demonstrated expertise in data mart architecture, design, and management - Strong proficiency in SQL with the ability to write complex queries, optimize performance, and work with large-scale datasets - Experience working at brokerage operations or financial services, with knowledge of accounting principles and market risk concepts (preferred) - Familiarity with regulatory reporting requirements and financial product structures (a plus) - Hands-on experience building and orchestrating data pipelines using modern tools such as dbt, Airflow, or similar workflow management platforms - Working knowledge of cloud infrastructure, particularly AWS services (S3, Redshift, Snowflake or equivalent) - Proficiency in Python for data manipulation, automation, and scripting - Experience with version control systems, particularly Git and GitHub, including branching strategies, pull requests, and code reviews - Proven ability to translate complex business requirements into scalable, data-driven solutions - Strong data visualization skills with experience using tools such as Tableau, Looker, Power BI, or similar platforms - Understanding of analytics engineering principles and best practices for building maintainable, well-documented data models - Excellent communication and interpersonal skills, with the ability to explain technical concepts to non-technical stakeholders - Demonstrated ability to collaborate effectively with cross-functional teams, including finance, risk, and product teams WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: Remote Workplace: remote 🌎 About Us TeamSnap is made up of innovators, technologists, builders, and problem-solvers shaping the future of youth sports. We’ve been setting the standard in youth sports technology since we were founded in 2009.  We hire for big ideas and tiny egos — which is part of how we landed on Outside Magazine's Best Places to Work, Built In's 100 Best Remote-First Places to Work and, for several years running, Sports Business Journal’s Best Places to Work in Sports.   TeamSnap is seeking a Senior Software Engineer (Backend) interested in working across the stack to join our fully distributed engineering team to help us continue our impressive growth from 2+ million daily active users to beyond! Our stack primarily includes Node.js, TypeScript, and SQL.  As an engineering team, we design and build scalable systems using a service-oriented and event-driven architecture that serve millions of daily users and some of the largest youth and amateur sports organizations in the world. Our team values collaboration in a remote culture, so we regularly participate in pair sessions and virtual team swarms to stay connected and improve the team and company. What You'll Do: Develop engaging experiences for our millions of users across our mobile and web applications. Design and implement scalable apps and services, integrating these into an evolving unified product and system architecture. Brainstorm and evaluate new product features in collaboration with the product and UX team. Collaborate and pair with other developers to develop solutions and teach technical skills. Contribute to our development standards within the team and across engineering to ensure code quality, adherence to standards, and identify opportunities for improvement Champion and implement automated testing practices to uphold the dependability and stability of backend systems, while also taking ownership of the overall reliability of the team's services. Actively engage in on-call responsibilities and contribute to incident management efforts. Evaluate and test new technologies to help TeamSnap move faster or serve our users more effectively. Help teammates overcome obstacles, resolve blockers, and complete work tasks. What Will Set You Up for Success: 5+ years of relevant experience, leading large projects on high-scale, distributed software systems as a software engineer Proficient in backend development with Node, Python, Golang, Ruby or similar. Experience with direct usage of SQL and relational databases such as MySQL / GCP Cloud SQL along with migrations, profiling, and optimization of such databases. Hands-on experience developing APIs, services for mobile applications and web clients at scale. Successfully delivered complex projects including debugging problems that may span a number of systems. Experience working with and architecting APIs, event streams, webhooks , etc. Experience working within and towards a distributed system. Extra points if you’ve built services for livestreaming, advertising, or subscriptions. Got cold feet? If you’re thinking you don’t meet 100% of the above qualifications, you should still seriously consider applying. We’re all humans with special talents that go beyond what’s listed here.   Compensation We’re committed to equitable compensation for all TeamSnappers. The minimum starting point for this role is $150,000, inclusive of base and bonus, with comp updated based on multiple factors. Our comp is highly competitive in our space and we adjust overall comp based on relevant experience, skills, certifications, and geographic location.  🖥 Location TeamSnap is a fully remote company, so you'll need to be comfortable working with people in other time zones. We're always expanding, but we can't currently hire in Alabama, Alaska, Delaware, District of Columbia, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Rhode Island, South Dakota, West Virginia, or Utah. We can only hire permanent US residents at this time. 🚀 Opportunities to Grow We work hard on a culture built on trust, accountability, and inclusion — one where you can take on more, make a lasting impact, and have some fun doing it. 🎩 Total Rewards Remote-first since 2009 Flexible PTO and parental leave 100% premium coverage of medical, dental, and vision for you and your family 401(k) to invest in your future $1,500 annual learning and development reimbursement Travel to all-company meetings and team events Generous home office allowance TeamSnap swag when you start, plus a $50 store credit on every work anniversary Monthly health and wellness reimbursement, and more TeamSnap Total Rewards 🏆  Award-winning Culture At TeamSnap, you're not a culture fit – you're a culture add. Read our Culture Playbook to see how we play, what we ask of each other, and what drives us. 🧡 Inclusion and Diversity Creativity and innovation don't come from cookie-cutter teams. We hold ourselves accountable for building a culture where everyone is valued. Need any accommodations during the interview process? Just ask. We are an Equal Employment Opportunity Employer. AI Notice We may use AI tools to support parts of the hiring process, such as reviewing applications and resumes or assessing responses. These tools assist our recruitment team; they don't replace human judgment, and final hiring decisions are made by people. Contact us if you'd like more information about how your data is processed.

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. To be eligible for this role, you need to graduate in December 2026 and be able to start full time by January/February 2027. WHAT YOU'LL ACHIEVE: - You'll work with others to plan, shape, and build new product features from start to finish: through conception, research, implementation, and maintenance. For example, you might work on driving adoption, by instrumenting key onboarding moments and iterating on activation flows. - You'll help improve performance and reliability, or polish existing features. For example, you might update our spell checker to sync dictionaries across browsers or improve search to index file attachments. - You'll build internal tools to support simplicity and productivity for the whole team. This might include writing a script to import user feedback into Notion. QUALIFICATIONS: - Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field. - To be eligible for this role, you need to graduate by Dec 2026 and be able to start FTE by January/February 2027. - Previous internship experience. - Working towards a proficiency of one or more programming languages such as TypeScript, Node.js, or Python. SKILLS YOU'LL NEED TO BRING: - Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. - You stay current with the latest tools like Codex, Claude Code, and other AI-assisted development environments. You're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users. - Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck. You think about the implications of what you're building and how it will impact real people's lives. - Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same. - Passion for web applications: You can work with others to build and maintain quality user interfaces for a big audience, using Web technologies like HTML, CSS, JavaScript, and a modern UI framework like React. - Familiarity with backend systems: You understand how parts of a system fit together—from the user interface to the data model. Familiarity with database systems like Postgres, MySQL or MongoDB is a plus. NICE TO HAVES: - You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch. - You’re a builder who finds joy in building software solutions for yourself or others. - You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship. - You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated salary range for this role is $135,000 - $155,000 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.