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Location: Athens Workplace: OnSite Role highlights: - Production Reliability Engineer - Location: Athens - Department: Mission Assurance & Reliability; Global Manufacturing Organisation - Reports to: Manager, Mission Assurance & Reliability - Employment type: Permanent - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO) Why this role matters: This role is responsible for assuring the reliability and quality of ICEYE’s subassembly production line, ensuring that assemblies meet design intent, space-grade quality requirements, and operational standards. The Production Reliability Engineer works closely with AIT engineering, production technicians, and integration teams to prevent quality escapes, ensure proper operator self-verifications, and drive proactive improvements through risk-based quality assurance methods. The position reports to the Reliability & Mission Assurance team and serves as the quality assurance representative embedded in the subassembly production line. It plays a key role in maintaining product reliability, manufacturability, and compliance with space standards by implementing preventive quality practices, monitoring key metrics, and fostering a culture of quality ownership at the production level. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. Your day-to-day responsibilities - Oversee subassembly production activities, ensuring compliance with quality requirements, approved processes, and product specifications. - Manage and support quality-related change management activities, including impact assessments, implementation follow-up, and effectiveness verification. - Review, approve, and disposition non-conformances, ensuring timely resolution through use-as-is, rework, repair, or corrective actions as appropriate. - Lead and support corrective and preventive action (CAPA) activities, including planning, implementation, and effectiveness monitoring. - Perform and oversee final inspection activities, including visual inspections, configuration verification, and confirmation of inspection and test results. - Prepare and review Acceptance Data Packages (ADPs) to ensure completeness, accuracy, and compliance with customer and regulatory requirements. - Plan and conduct process audits, perform spot checks of newly implemented procedures, and follow up on corrective actions to verify sustained compliance. - Develop, maintain, and continuously improve inspection plans, checklists, quality requirements, and inspection procedures in collaboration with Engineering and Production teams. - Monitor production and quality performance indicators, including non-conformance trends, yields, rework, and process effectiveness, to drive continuous improvement. - Provide guidance and training to production personnel on quality requirements, inspection standards, ESD/FOD control, cleanliness, and product handling practices. - Ensure production readiness by verifying that required inspections, verifications, approvals, and quality gates are completed before manufacturing activities proceed. - Collaborate with Engineering, Production, and Quality teams to identify risks, resolve quality issues, and improve manufacturing and inspection processes. What we’re looking for Must haves: - Bachelor’s degree in Electronics, Mechatronics, or Electrical Engineering. - Hands-on experience with electronics or PCBA. - Practical experience in a high-reliability electronics production environment. - Minimum 5 years of experience in production quality assurance, manufacturing engineering, or process reliability within electronics, aerospace, or high-reliability manufacturing. - Solid understanding of subassembly production processes (gluing, soldering, assembly, and testing), process control, ESD/FOD/cleanliness requirements, and space or electronics manufacturing standards. - Familiarity with standards such as IPC-A-610 Class 3, IPC/WHMA-A-620 Class 3, J-STD-001, and quality systems (ISO 9001 / AS9100) - Proficiency in data-driven problem solving (e.g., 8D, 5 Whys), and fluency in English (written and verbal). - Strong risk-based thinking, analytical mindset, and a hands-on approach. - Demonstrated ability to train, influence, and collaborate with operators and engineers. - Ability to influence and drive results without direct authority - Structured problem-solving and analytical thinking - High ownership with a proactive, hands-on approach - Ability to manage multiple priorities in a fast-paced, evolving environment Nice to haves: - Experience with ECSS-Q-ST-20 or other space-quality assurance frameworks. - Experience performing or leading PFMEA and control plan development. - Hands-on experience implementing Lean or Six Sigma initiatives in electronics manufacturing. - Experience supporting internal or external audits (ISO, or customer). Application Process - Screening - Initial Interview - Task & Presentation - Final On-site Interview Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role The Pricing Strategy team owns the end-to-end pricing, packaging, and commercialization strategy across GitLab's product portfolio, from Premium and Ultimate tiers to GitLab Duo and our expanding artificial intelligence (AI) capabilities. As a Staff-level pricing and commercialization expert, you'll design, scale, and drive GitLab's enterprise monetization and commercial buying programs as an individual contributor at the top of our individual contributor track. You'll serve as the architect of our Enterprise Agreements, cloud marketplace and channel pricing structures, and competitive commercial programs, partnering across Product, go-to-market (GTM), Finance, Sales, Renewals, Product Marketing, Partners, and Deal Desk to turn pricing decisions into scalable programs that work for customers and the field. What you'll do Drive competitive pricing programs and tactical deal plays, including promotions, competitive replacement offers, and deal support, that help the field win and displace competitors in the DevSecOps and AI tooling market. Own list-to-net price realization strategy across products, geographic regions, GTM segments, and routes to market. Partner with Product Management, Product Marketing, and GTM leaders to shape new packaging and pricing proposals, evaluate monetization models as GitLab's AI and platform capabilities evolve, and bring data-backed recommendations to cross-functional and executive stakeholders. Act as the go-to expert for pricing enablement by building training, playbooks, and battlecards that give the field confidence in pricing conversations and help them explain commercial value. Put commercial programs into practice in partnership with Deal Desk, Revenue Operations, and Data teams, staying hands-on with execution as well as strategy. Define, launch, and scale Enterprise Agreements and marketed bundling strategies that simplify transactions, encourage multi-product and GitLab Duo adoption, and maximize customer lifetime value. Define channel and marketplace pricing strategy, including tiering, discounting frameworks, and margin structures, across resellers, global systems integrators, independent software vendors, and cloud marketplaces such as Amazon Web Services, Google Cloud Platform, and Microsoft Azure. Document decisions and frameworks in the GitLab handbook and default to asynchronous, written communication as part of GitLab's all-remote, globally distributed team. What you'll bring Extensive experience across strategy consulting, pricing, strategic finance, or corporate or deal strategy, ideally at a software as a service or enterprise software company. Deep experience in monetization or pricing strategy, including direct ownership of pricing waterfalls, enterprise buying programs such as Enterprise License Agreements or Enterprise Agreements, or channel and marketplace pricing models. A track record of operating as a go-to expert without formal authority. Other teams bring you difficult pricing questions, and your recommendations carry weight with senior stakeholders because of the thinking and evidence behind them. Hands-on work with AI agents and automations that real teams used in production A bias toward iteration and shipping. You're comfortable making a strategic call, documenting the reasoning, and adjusting as new data comes in instead of waiting for perfect information. Strong written communication skills and the ability to work independently in an asynchronous, all-remote environment while driving cross-functional agreement. Experience partnering with and influencing senior stakeholders across Product, Sales, and Finance, including vice president and senior vice president levels, as an individual contributor. About the team The Pricing Strategy team shapes how GitLab packages, prices, and commercializes its product portfolio. The team works across Product, GTM, Finance, Partners, Deal Desk, Renewals, and Data to create pricing frameworks and buying programs that can scale. In this role, you'll help connect product and monetization strategy with the practical programs used by customers, partners, and the field. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200 — $235,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: CAN: Vancouver (333 Seymour St) Workplace: Hybrid The role / impact As a Lead Engineer within the Internal AI Accelerator Squad, you will be at the forefront of Xero’s transformation into an AI-native company. You will act as a forward-deployed engineer, embedding yourself within various internal business teams to co-design and operationalise agentic AI workflows that remove manual toil and fundamentally reshape how our people work end-to-end. Your impact extends beyond the code; you will lead the delivery of high-stakes AI agents from discovery to production, while acting as a technical partner and evangelist. By defining the patterns, guardrails, and tooling for intelligent automation, you will create the blueprint that enables the rest of Xero to harness the power of AI safely and effectively. The team / how they connect You will join a dedicated, high-velocity squad focused on boosting the adoption of agentic AI and intelligent automation across the global business. The team connects through a shared mission of rapid experimentation and "vibe-coding," working closely with product owners and SMEs to turn complex, messy workflows into elegant, automated solutions. The team is currently working on / Initially, you will focus on - Designing and iterating on AI agents and workflow orchestrations using tools like Claude, Gemini, and MCP. - Integrating AI systems with core enterprise platforms including Salesforce, Workday, Slack, and NetSuite. - Developing reusable automation patterns and shared templates to be used by the business - Building evaluation and monitoring frameworks to measure performance and ensure the safety of AI-native workflows. Where and how you can work At Xero, we embrace a hybrid way of working that prioritises both flexibility and meaningful connection. You will have the autonomy to work from home, supported by regular boost days in our modern office spaces designed to foster collaboration, brainstorming, and team bonding. Here are some of the things we are looking for - You bring a wealth of experience in building and operating applications or automations within production environments, particularly involving APIs and cloud infrastructure. - Your background includes hands-on delivery of AI-driven solutions such as agents, copilots, or RAG systems using LLMs like Claude or Gemini. - You possess proficiency in programming languages such as Python or TypeScript and feel comfortable navigating SDKs and webhooks. - A systems-thinking approach is part of your toolkit, allowing you to design agents with security, auditability, and controlled blast radius at the forefront. - You have a track record of partnering with non-technical stakeholders to translate business pain points into technical solution designs. - You are a natural coach who enjoys uplifting the AI fluency of those around you through pairing, workshops, and clear communication. Compensation Philosophy At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheque. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits. The base salary range for this role in Canada is $240,000 - $260,000 CAD. Please note that this range represents base salary only. We believe in rewarding our people for their total contribution, which is why we look at compensation through a holistic lens. In addition to base pay, your total package may include: - Variable Pay: Eligibility commissions or equity based on role and performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. - Xero Perks: Inside Xero https://careers.xero.com/inside-xero/benefits-wellbeing/ Explore our full suite of benefits, from wellbeing initiatives to professional development. Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role

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 Safeguards organization builds the policies, evaluations, and enforcement systems that keep our models from contributing to catastrophic harm. We are hiring a manager to lead the research engineering team responsible for biological safety: the evaluations, datasets, and classifiers that govern how our models handle biological knowledge. You will lead a team of research scientists and engineers who design and run capability evaluations against frontier models, curate training data for our safety classifiers, train and iterate on those classifiers alongside our ML engineers, and measure how they hold up against adversarial pressure in production traffic. You will set the technical direction for that work, decide where the team invests, and own the results. This is a hands-on management role. Most of your time goes to growing and directing the team, but you will keep enough technical depth to review an eval design, interrogate a classifier's failure modes, and represent the work credibly to Research, Product, and Policy partners. The core tension your team owns is precision: safeguards need to be robust against sophisticated actors while staying out of the way of the far larger population of legitimate researchers using Claude to accelerate life sciences work. Getting that tradeoff right is an empirical problem, and your team is the one measuring it. Key responsibilities Manage, coach, and grow a team of research scientists and engineers working on biological safety evaluations and classifiers, including hiring, onboarding, performance, and career development Set the technical direction and roadmap for the biological safety research agenda, and make the calls about what the team builds, what it deprioritizes, and when a safeguard is ready to ship Own the quality of capability evaluations that assess what new models can do in the biological domain, and turn results into deployment recommendations that leadership can act on Guide the development of training and evaluation datasets for our safety classifiers, working with internal and external threat modeling experts to ground them in realistic risk Oversee the training and iteration of safety classifiers alongside ML engineers, optimizing jointly for adversarial robustness and low false-positive rates Ensure the team invests in the tooling and pipelines that make evaluation and classifier development fast and repeatable Establish how the team measures classifier and eval performance against production traffic, identifies gaps, and prioritizes improvements Direct red-teaming and stress-testing of safeguards as threats, models, and product surfaces evolve Partner with Research, Product, Policy, and government affairs colleagues to embed biological safety throughout the model development lifecycle, and serve as an escalation point for biological content Represent the team's work in external communications including model cards, blog posts, and policy documents Track developments in biology, machine learning, and biosecurity for their potential to create new risks or enable new mitigations Minimum qualifications Experience managing a technical team, including hiring, coaching, and performance management A record of setting technical direction for a team and making prioritization calls under uncertainty Proficiency in Python, with a background in scientific programming and data analysis A solid grasp of ML fundamentals, sufficient to critically review evaluation design and classifier development Knowledge of modern biology across both measurement and engineering: high-throughput assays and functional characterization, as well as gene synthesis, genome editing, strain construction, and protein engineering Experience designing quantitative experiments or evaluations and drawing defensible conclusions from noisy results Clear analytical and writing skills, and the ability to explain technical concepts to non-technical stakeholders Familiarity with dual-use research concerns and biosecurity frameworks, such as select agent regulations, the Biological Weapons Convention, or Australia Group guidelines Comfort with ambiguity and with shifting priorities as AI capabilities change Motivation to prevent misuse without obstructing the beneficial work that makes up the vast majority of this field Preferred qualifications 3+ years of people management experience, ideally leading research scientists, research engineers, or ML engineers Experience building a team or function from a small headcount, including defining scope, hiring the first few people, and establishing how the team works At least 8 years of hands-on experience in life sciences, with deep expertise in areas such as molecular biology, drug discovery, or computational biology Experience working with large language models, including prompting, fine-tuning, or evaluation Experience training or deploying classifiers or other ML systems in production, and comfort reasoning about precision and recall for rare, high-consequence categories where the base rate is very low Experience developing ML methods for biological systems or biological data Familiarity with adversarial robustness, red-teaming, or safety evaluation of ML systems Experience leading complex technical projects across multiple stakeholder groups The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Lead on the User Well-Being team, you will be responsible for managing our child safety, mental health, abuse and exploitation, and age assurance enforcement workflows. This will include managing the team responsible for scaling, maintaining, and continuously improving the systems and processes we use to detect and respond to these harms. This is a management role. You will serve as the central point of contact for those who conduct content review, managing day-to-day workflows, quality assurance, and escalation processes. You will also work closely with internal Engineering, Policy, and Legal teams to scale detection systems and close enforcement gaps as the threat landscape evolves. Important context for this role: In this position you will regularly be exposed to and engage with explicit content of a sexual nature involving minors, as well as content that may be violent or psychologically disturbing. Anthropic takes the wellbeing of team members working in this area seriously and provides access to wellness resources and support. Candidates should carefully consider this aspect of the role before applying. Key responsibilities Manage a team of individual contributors across multiple policy areas under the User Well-Being banner Serve as the primary point of contact for review partners conducting content review, including onboarding, training, quality assurance, and ongoing relationship management Design and improve enforcement workflows to scale effectively as volume grows, while maintaining high accuracy and consistency across review decisions Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for User Well-Being policies Develop and maintain internal documentation, decision trees, and review guidelines that enable accurate and consistent enforcement at scale Keep up to date with emerging AI policy enforcement best practices, evolving legal frameworks, and developments in technology, and use these to inform our workflows Identify and report trends in misuse patterns to internal stakeholders, including Policy, Legal, and Trust & Safety leadership Coordinate reporting obligations to relevant external bodies (e.g., NCMEC) in accordance with applicable law and Anthropic policy Minimum qualifications Experience managing teams in the User Well-Being space Experience in trust & safety, content moderation operations, or policy enforcement with direct exposure to child safety, mental health, abuse and exploitation, and age assurance harm areas Experience managing or coordinating content review operations, including quality assurance and workflow management Experience standing up and scaling policy enforcement or content review workflows Proficiency in SQL and/or other data analysis tools to monitor workflow health, review queue metrics, and surface enforcement trends Experience identifying emerging risks and communicating findings to cross-functional stakeholders, such as Product, Policy, Engineering, and Legal teams Understanding of the challenges involved in implementing product policies at scale in the content moderation space Preferred qualifications Deep subject matter expertise in child safety, child sexual exploitation and abuse (CSEA), online child protection, mental wellness, and age assurance Experience working with or reporting to NCMEC, IWF, or equivalent child safety reporting bodies Familiarity with relevant legal and regulatory frameworks, including CSAM reporting obligations, KOSA, COPPA, or equivalent international frameworks Experience working with generative AI products, including an understanding of how AI systems can be misused to generate or facilitate abusive content Experience designing or evaluating trauma-informed support structures and wellness protocols for content reviewers working with harmful material Proficiency in Python for workflow automation or data analysis Experience working with hash-matching technologies (e.g., PhotoDNA, CSAI Match) or perceptual hashing tools used in CSAM detection Familiarity with age assurance technologies and their role in child safety enforcement 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 — $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Analyst focused on Conventional Weapons, your work spans detecting and mitigating attempts to misuse Anthropic's AI systems to facilitate real-world harm, specifically utilizing conventional weapons and dangerous technology. You will be responsible for building and executing operational workflows to assess model behavior, drive enforcement decisions, and develop evals across a technically demanding range of policy areas. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, graphic, hateful, or psychologically disturbing nature. Key responsibilities Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy Develop and maintain evals that measure model performance on these policy areas, surface regressions, and inform policy and model improvements Partner with Engineering and Data Science to optimize detection and automated enforcement systems for potential policy violations Review flagged content to drive enforcement decisions and surface policy gaps, with particular attention to novel or technically sophisticated misuse attempts + emerging tactics Support the Safeguards policy design team by providing structured feedback on policy gaps and enforcement ambiguities based on real enforcement scenarios Develop and maintain enforcement guidelines and reviewer documentation that enable accurate, consistent enforcement across a wide range of content Keep up to date with emerging weapons trends and applications, regulatory changes, and AI policy enforcement best practices, and apply these to inform our workflows and evals Identify and escalate emerging misuse patterns, novel attack vectors, and signs of coordinated violent activity Minimum qualifications Have deep, applied expertise in weapons systems and can translate complex technical evidence to make enforcement decisions Experience in policy enforcement, threat intelligence, counterterrorism, government, or a closely related field, with direct exposure to harmful content, dangerous technology, or physical harm facilitation Experience standing up and scaling policy enforcement or content review workflows Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams Experience working with generative AI products, including writing effective prompts for content review and enforcement Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space Preferred qualifications Subject matter expertise in conventional weapons and dangerous technology, autonomous systems, or critical infrastructure protection Familiarity with relevant legal and regulatory frameworks governing dangerous technology, conventional weapons, and critical infrastructure Experience developing evals or red-teaming AI systems, particularly for harmful content or policy enforcement use cases Experience with threat actor profiling and threat intelligence frameworks (e.g., MITRE ATT&CK) Experience tracking threat actors, extremist networks, or misuse patterns across surface, deep, and dark web environments Experience with large language models and an understanding of how AI technology could provide meaningful uplift toward serious harm Proficiency in Python for data analysis and workflow automation Background in law enforcement, national security, defense, counterterrorism, or a relevant regulatory environment Experience assessing the technical plausibility and real-world harm potential of content, including the ability to distinguish between general educational content and genuine operational uplift, and between protected speech and genuine incitement/mobilization Familiarity with cross-platform threat analysis and OSINT techniques 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: $245,000 — $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten is building the infrastructure layer for AI — and we're now building the team that will scale how we take it to market. This is a foundational hire on our GTM Strategy & Revenue Operations team, sitting at the intersection of strategic planning and field execution.   You'll work directly with the CRO, Head of Revenue Operations and partner closely with Finance, field leadership, and our Central Ops team. On any given week, you might be refining our pipeline generation model, building a territory coverage analysis, designing a new GTM motion, or partnering with a regional leader to understand what's driving a trend in their pipeline. This role requires someone who can think rigorously, build things from scratch, and operate with speed and judgment in an environment where the playbook is still being written.   This is a rare opportunity to be an early GTM strategy and operations hire at one of the fastest-growing companies in AI infrastructure — and to help define how we scale.   WHAT YOU'LL DO GTM Planning, Target Setting & Market Intelligence - Contribute to the annual and quarterly GTM planning process in partnership with Finance, including headcount modeling, ramp assumptions, and revenue target-setting - Build and maintain coverage models aligned to 2-year growth projections, incorporating territory design, account segmentation, and capacity planning - Support quota framework development, helping translate top-down targets into field-level plans that are credible and motivating - Develop and maintain Baseten's segmentation logic: how we carve the market by industry, company profile, consumption potential, and AI maturity - Contribute a point of view on competitive dynamics, regional expansion priorities, and whitespace opportunities - Partner with Central Ops on ICP and TAM database strategy to ensure segmentation is grounded in clean, enriched data - Translate data into a clear business narrative for leadership and the field; democratize insights so the revenue org can self-serve Pipeline Generation & Forecast - Contribute to the design of the pipeline generation model: coverage ratios, qualified pipeline definitions, and input assumptions - Support the PG cadence: track actuals vs. model, surface gaps early, and partner with field leadership to course-correct - Play an active role in the weekly forecast process, helping build the business narrative that connects leading indicators to revenue outcomes - Build and maintain the analytics layer that powers GTM decision-making, from pipeline dashboards to cohort analyses to efficiency metrics Field Execution & Plan Refinement - Partner with the field to identify gaps in the business and develop structured plans to address them, supporting real-time actions as well as insights to guide QBRs, pipeline reviews, etc. - Analyze regional pipeline health, win/loss trends, and rep productivity to proactively surface insights that feed back into refining the GTM plan - Contribute to execution optimization projects: improving the sales process, post-sale journey, and conversion at key funnel stages - Close the loop between what's happening in the field and what needs to change in the plan New Motions & Experimentation - Support the design and execution of structured experiments to test new GTM approaches: new segments, new channels, new acquisition or expansion motions - Help build the measurement framework to evaluate what's working and create a clear path to scaling what wins - Partner with RevOps and Central Ops to operationalize successful experiments into repeatable playbooks   REQUIREMENTS Experience - 3-5 years in GTM strategy, revenue operations, sales strategy, or a related function, ideally at a high-growth B2B SaaS or infrastructure company - Experience with consumption-based or usage-based business models strongly preferred; you understand the difference between ARR and revenue, and how to think about drawdown, expansion, and net retention - Exposure to a company scaling through a Series B-D inflection point a plus; you have a sense of what good looks like and what breaks as you grow - Background in consulting and/or banking / finance a plus Skills - Exceptional analytical chops: you can build a coverage model, a cohort analysis, and a leadership-ready forecast narrative, and you know which one the moment calls for - Strong business judgment: you don't just surface data, you tell people what it means and what to do about it - Structured thinker and clear communicator: you can take a complex GTM problem, break it down, and present a crisp recommendation to a senior audience - Hands-on builder: comfortable working in AI coding tools, spreadsheets, BI tools, SQL, and CRM systems; you don't wait for someone else to pull the data - Collaborative operating style: you work across functions (Finance, field leadership, Central Ops, Enablement) and know how to get things done without formal authority - AI Fluency: you actively use AI tools to drive your own productivity, in how you analyze data, structure problems, draft communications, and accelerate your work Mindset - Comfortable with ambiguity; you can define the problem before solving it - Bias toward action — you'd rather ship something good and iterate than wait for perfect - Curious about the AI infrastructure market; you want to understand what we sell, who buys it, and why   WHY BASETEN - Be a foundational member of the GTM team at one of the most important companies in the AI infrastructure space - Work on problems that are genuinely hard and genuinely new — consumption-based GTM at AI scale doesn't have an existing playbook - High ownership, high visibility, direct access to leadership - Competitive compensation, equity, and benefits BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Sweden - Remote Workplace: remote We have an exciting opportunity for experienced software sales executives to join our dynamic and growing sales team!  We are actively interviewing candidates in the Frankfurt, Germany or Nothern Germany area for our Account Executive role.   Azul offers lucrative, uncapped commission potential!  Our top sales professionals have been earning $1M in the past several years.   This is an individual-contributor, quota-carrying role. What You’ll Do (aka Responsibilities) Cultivate relationships and engage with new and existing clients to sell our Enterprise Products: Azul Platform Core and Azul Platform Prime Prospect and work closely with Lead Development Reps to foster new opportunities Build a 3X quota pipeline Consistently close business on a monthly and quarterly basis Win competitive deals working closely with our Sales Engineer What You’ll Bring (aka Experience, Skills Education) Experience and Education 10+ years proven experience in new business sales Sales experience in Cloud, Security, Java, DevOps, Java frameworks, APM, Systems Monitoring, OSS Demonstrated success across different product categories and industry verticals Small to medium sized companies, preferred Experience working with Channel Partners Undergraduate degree, or equivalent experience Skills and Competencies Exceptional communicator, influencer and presenter Demonstrated ability with Multi-Level selling Proficient in deal qualification methodologies Progressive and proactive use of industry sales tools and system What we Offer ·         Comprehensive compensation and healthcare packages ·         Referral Program ·         Work-life balance, remote-first, paid time off, company shutdown, holidays ·         Work with top experts worldwide whom contribute to the Java ecosystem   Our Culture & Values   ·         Maniacal Customer Focus ·         Innovation & Excellence ·         Initiative & Courage ·         Impact & Influence ·         Integrity & Transparency ·         Diversity, Inclusion & Teamwork   Employment at Azul is contingent upon the completion of reference and background checks.

Location: Remote - US About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. Backblaze is seeking a highly analytical, systems-oriented Director of Security Operations to drive the planning, forecasting, deployment, and optimization of hardware infrastructure across our global cloud storage platform. Role Overview The Director of Security Operations leads the organization's day-to-day cybersecurity operations across traditional and AI-enabled environments. Reporting to the CISO, the Director leads Security Operations while partnering closely with the Director of Security Architecture & Engineering. This is a hands-on technical leadership role requiring experience implementing and operating security controls as well as leading teams, incidents, and security programs. Key Responsibilities Lead security monitoring, incident response, threat hunting, security analytics, vulnerability management, adversary emulation, identity security, and operational resilience. Establish operational priorities, service objectives, metrics, playbooks, and processes based on organizational risk and business needs. Serve as incident commander for significant cybersecurity events and ensure lessons learned drive improvements to controls and operations. Drive responsible adoption of AI-assisted detection, investigation, vulnerability analysis, threat hunting, and response capabilities. Ensure effective security monitoring and response for AI applications, autonomous agents, workloads, and non-human identities. Use automation to reduce manual work and compress detection, analysis, containment, and remediation timelines. Partner with Security Architecture & Engineering to ensure controls are effectively designed, implemented, operationalized, monitored, and validated. Develop security talent and provide the CISO with clear reporting on incidents, exposure, operational performance, risk, and program maturity. Qualifications Experience leading Security Operations, Incident Response, Detection Engineering, Vulnerability Management, IAM, or related cybersecurity functions. Demonstrated hands-on experience implementing and operating security controls across cloud, infrastructure, applications, identity, endpoints, and networks. Strong technical understanding of security analytics, detection engineering, exposure management, adversary emulation, and identity security. Experience leading significant cybersecurity incidents and cross-functional response activities. Experience implementing security automation and AI-assisted operational capabilities. Strong leadership, mentoring, communication, and executive presentation skills. Experience in cloud-native or large-scale distributed environments and familiarity with modern cybersecurity and AI-risk frameworks is preferred. Backblaze Perks: Healthcare for family, including dental and vision Competitive compensation and 401K RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook Pro to use for work plus a generous stipend to personalize your  workstation Childcare bonus (human children only) Fertility treatment and support Learning & development program Commuter benefits Culture that supports a healthy work-life balance To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is $205,000 - $230,000 At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

X-FLOW is a mobile game development company established in 2018. We gained recognition after the release of Happy Color , the most popular digital coloring book and one of the most successful ad-driven mobile apps in the world. We’re looking for a Product Manager with strong mobile product experience to own and develop product features end-to-end — from understanding the problem and shaping the solution to launch, impact analysis, and further iterations. You’ll work closely with engineering, design, QA, and analytics, with a high level of autonomy in defining how a feature should work, what should go into the MVP, and how the solution should evolve after launch. What you’ll do: Own product features end-to-end: discovery, solution design, delivery, launch, and iteration. Turn business goals and product problems into well-defined product solutions. Define user flows, states, requirements, constraints, and edge cases. Explore and compare alternative solutions based on expected impact, development effort, complexity, and time to market. Define a focused MVP and manage scope without compromising the ability to iterate further. Work closely with engineering, design, QA, analytics, and other Product Managers throughout the development process. Take technical constraints of the mobile client and backend into account when shaping solutions. Define success metrics before launch and evaluate feature performance using product data. Use data, competitor research, and product references to support decisions. Prepare clear product documentation that can be effectively used by development and QA. Manage changes, risks, and dependencies throughout delivery. Requirements: Hands-on product management experience with mobile products. Proven experience taking product features from problem definition through launch and post-launch iteration. Ability to work independently with open-ended product problems rather than relying on fully defined requirements. Strong product judgment and ability to make pragmatic trade-offs between value, scope, complexity, and speed. Good understanding of mobile development and client-backend interaction. Strong analytical skills and confidence working with product metrics. Ability to communicate effectively with technical and non-technical teams. Strong product documentation skills and structured thinking. High level of ownership and autonomy. Russian — fluent. English — Intermediate or higher. Nice to have: Experience with coloring / color-by-number, casual, puzzle, creativity / art apps, or similar mobile genres. Experience working with Flutter-based products. Experience with content-heavy products, live events, or frequent product experimentation. Hands-on experience with A/B testing. Experience with retention, engagement, and monetization mechanics. Familiarity with ads, subscriptions, or IAP. Technical background or previous development experience. Practical experience with RICE or similar prioritization frameworks. What We Offer: Competitive salary and benefits package. Opportunity to work with a talented and passionate team in a creative and dynamic environment. Flexible working hours and remote/office work options. Career growth and professional development opportunities. A fun and inclusive company culture that celebrates diversity and creativity. Join us and let’s create great content together! When you apply for this role, we process your personal data in accordance with our Candidate Privacy Notice ( https://xflowgames.com/candidate-privacy-notice ).

Location: Hyderabad, India Location: India (100% Remote / Flexible) Contract Type: Full-Time / Enterprise Project Engagement About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking a high-caliber Forward Deployment Engineer (FDE) to sit at the intersection of enterprise AI platforms and executive Finance business functions for our Fortune 100 enterprise client. This role bridges advanced AI platform engineering with direct business impact—translating ambiguous financial challenges into working AI applications, deploying them into regulated client environments, and iterating in tight loops to drive measurable ROI. Rather than building static models or waiting for formal spec sheets, you will operate as a product-minded technical lead. You will prototype user-facing tools in days, deploy agentic and RAG workflows on top of enterprise data stacks (Databricks Genie), and ensure high adoption across FP&A, Controllership, Treasury, and CFO leadership. Key Responsibilities End-to-End AI Application Prototyping & Delivery Own the full lifecycle of AI solutions for Finance business units—from initial discovery with CFO stakeholders to production deployment, user adoption, and ROI measurement. Rapidly prototype vertical applications using Streamlit, Databricks Apps, FastAPI/Flask, or lightweight React interfaces within 1–2 weeks to gather real user feedback. Handle "last mile" execution: edge cases, data quirks, business rule exceptions, and user training to turn prototypes into sticky enterprise products. Agentic Systems & LLM Engineering Build production-grade vertical AI tools leveraging Databricks Genie (Genie Spaces, semantic models). Construct robust RAG pipelines incorporating advanced chunking, vector databases (Pinecone, Chroma, FAISS, Azure AI Search, Cortex Search), retrieval evaluation, grounding, and citation. Implement LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex) and apply rigorous prompt engineering with hallucination and accuracy evaluation discipline. Enterprise Data & Regulated Integration Deploy applications inside heavily regulated enterprise environments, adhering strictly to RBAC, data residency, audit, and compliance constraints (SOX, GxP). Connect solutions to governed datasets, semantic models, and core enterprise platforms (SAP, Workday, Coupa, ERP) via secure REST APIs. Instrument all deployed apps with usage metrics, telemetry, and business outcome tracking from day one. Strategic Stakeholder Advisory & Pattern Extraction Work directly with senior Finance leadership (CFO office, FP&A, Controllership) to translate ambiguous operational friction into crisp technical roadmaps. Extract reusable code components, prompt templates, evaluation harnesses, and retrieval patterns into shared enterprise assets for broader deployment. Requirements Experience & Mindset Experience: 5+ years of hands-on software development and full-stack AI application deployment. Product-Shaped Builder: Strong bias for action; comfortable shipping rough prototypes in Week 1 over polished spec documents in Week 4. Ambiguity Tolerance: Proven ability to navigate vague business problems without predefined specifications. Stakeholder Communication: Outstanding ability to interface directly with senior business leaders without requiring intermediary Business Analysts. Must-Have Technical Stack Languages & Frameworks: Python, FastAPI/Flask, SQL, and UI frameworks (Streamlit, Databricks Apps, React). AI Platforms: Direct hands-on experience with Databricks Genie . LLM Engineering: Production experience with LangChain, LangGraph, LlamaIndex, vector search engines, and prompt evaluation harnesses. Cloud & DevOps: Deep working knowledge of Cloud platforms (Azure preferred, AWS/GCP acceptable), modern Git workflows, CI/CD, and basic MLOps awareness (observability, versioning via LangSmith, Datadog, etc.). Domain Competency (Finance Focus) Solid foundational understanding of core Finance business processes (FP&A, order-to-cash, procure-to-pay, record-to-report, close cycles) and common financial metrics (OPEX, EBITDA, gross margin, working capital). Nice-to-Haves & Certifications Prior FDE, Solutions Engineer, or Field Engineer experience at high-growth AI/Data companies (Palantir, Databricks, OpenAI, Anthropic). Industry background in Life Sciences, Pharma, Healthcare, or CPG enterprise Finance. Experience with enterprise Finance software (SAP S/4HANA, Veeva, Workday Adaptive, Oracle Financials). Certifications: Databricks Certified, or Azure AI Engineer Associate (AI-102). What This Role Is NOT Not a pure Data Scientist or ML Researcher: You will not be training or fine-tuning foundation models from scratch; you are applying existing models to business problems. Not a non-coding Architect: This is a 100% hands-on builder role. Not a pure Backend or MLOps Engineer: You must be comfortable owning the user-facing interface and direct business interaction.

Location: Kuala Lumpur, Malaysia; Philippines; Taiwan The Role The Enterprise Client Success Manager (CSM) exists to ensure the successful delivery, adoption, and long-term impact of our mental health benefits platform across key strategic and large enterprise accounts. This is a high-touch, consultative role focused on translating our solution into measurable value for clients. The Enterprise CSM owns the end-to-end client journey, from implementation and program design to engagement strategy, reporting, renewals, and expansion. They act as a trusted advisor to senior HR and business stakeholders, ensuring the programme aligns with organisational priorities and drives meaningful outcomes for employees. What You'll Do Main Responsibilities Serve as the primary point of contact for a portfolio of key strategic and large enterprise accounts Own end-to-end delivery of the mental health benefits platform across assigned clients Develop and execute customised mental health programme strategies aligned to each client’s workforce needs Build strong, long-term relationships with senior HR and business stakeholders Drive client satisfaction, retention, and expansion opportunities Coordinate cross-functional collaboration across Sales, Product, Engineering, Clinical, Marketing, and Delivery teams Analyse engagement, utilisation, and outcome data to demonstrate value and inform strategy Identify product enhancement opportunities based on client feedback and insights Day-to-Day Activities Client Relationship Management Conduct regular client check-ins (weekly, monthly, quarterly) Prepare and present QBRs and impact reports Respond to client queries, escalations, and operational requests Align on programme priorities, campaign calendars, and engagement initiatives Manage renewals conversations and identify upsell/cross-sell opportunities Programme Delivery & Project Management Oversee implementation timelines and onboarding processes Coordinate webinars, roadshows, campaigns, and engagement initiatives Ensure platform configurations, credits, and reporting are accurate Track project milestones and manage internal follow-ups Ensure service quality standards are maintained across clinical and operational delivery Strategic Advisory & Consulting Develop tailored engagement strategies based on workforce demographics and needs Advise clients on mental health trends, utilisation benchmarks, and best practices Provide recommendations to improve adoption, communication, and ROI perception Align programme strategy with client organisational goals (e.g., wellbeing, retention, productivity) Data Analysis & Insights Monitor utilisation rates, credit consumption, engagement metrics, and CSAT/NPS Analyse trends and identify risks or growth opportunities Develop insights and narratives to demonstrate programme impact Use data to inform renewal and expansion discussions Cross-Functional Collaboration Translate client feedback into clear product and operational requirements Work with Product and Engineering on feature enhancements or fixes Partner with Marketing on engagement campaigns and communication materials Coordinate with Clinical and Delivery Ops for service quality and provider matters Support Sales in enterprise pitches, renewals, and expansion proposals Continuous Improvement & Innovation Identify recurring pain points and process inefficiencies Contribute to internal playbooks, best practices, and reporting frameworks Proactively suggest platform improvements to enhance scalability and client value Requirements Who You Are Bachelor's degree in Business, Management, or related field required. Master's degree would be a plus but not a requirement At least 3 years of experience in client success/account management/management consulting, preferably in a related industry such as healthcare, HR, change management, or benefits Proven track record of successful project delivery and account management, with experience managing large, complex projects and building long-term relationships with clients. Strong strategic thinking skills, with the ability to develop and execute on a strategic vision for clients. Excellent communication and interpersonal skills, with the ability to build trust and rapport with clients and internal stakeholders. Ability to work independently and as part of a team, with a strong sense of accountability and ownership. Familiarity with mental health benefits and/or related industries is a plus. Open to candidates from Malaysia (hybrid) and the Philippines (remote) Benefits Why You’ll Love Working With Us: Global company – work in a diverse environment with people from nearly 20 countries Generous leave policy – time off to rest and recharge Christmas week off – company-wide break during Christmas, separate from annual leave Birthday leave – enjoy a day off on your birthday Quarterly mental health days – one day off every quarter to focus on your wellbeing Flexible work arrangements – work in a way that suits your lifestyle and goals Work-life balance – a culture that values personal time and long-term wellness Medical coverage – comprehensive insurance for peace of mind Performance bonus – high performance is recognised and rewarded Development budget - annual allowance to support your professional development Mental health support – premium coaching access to our mental health app and resources & dedicated budget for clinical and psychiatric care Socials and communities – regular non-work events/activities to connect and have fun together

Location: Guangzhou, China The Company Our client was founded in 2009 and is headquartered in San Francisco. They describe themself as a “Retail Maximization Company,” focused on helping retailers, brands, and CPG companies improve digital revenue, customer experience, operational efficiency, and technology modernization. Their core positioning is highly retail-specialized rather than being a general-purpose IT services company. They emphasize deep expertise in: retail commerce, omnichannel systems, supply chain technology, AI and data platforms, experience design, cloud modernization, digital engineering, performance engineering, eCommerce migration, and upgrades. The Role The Enterprise Architect – OMS Platform (Composable Commerce) acts as the architectural anchor between the client’s Business, Technology, and ISV/Product Partner teams on a composable OMS platform program. The role is accountable for translating business intent into a scalable technical landscape, owning solution direction from discovery and architecture definition through delivery governance and production stability. The architect is expected to actively shape scope and commercial outcomes, driving decisions on what should be configured out-of-the-box (OOB) versus custom-built, while minimizing customization wherever the platform’s native capability can meet the need. Experience : 12+ years, with demonstrated architecture/solutioning ownership (not only hands-on delivery) across at least 3–4 years. Engagement Model : Client-facing. Works directly with client Technology, Business, and ISV/Product Partner teams as the architectural anchor for the engagement. Primary Product Context : Composable OMS platforms, with preference for Burgeon OMS. Standalone OMS product experience or OMS capability embedded within an ERP suite (e.g., Oracle EBS) are both relevant. Location : Guangzhou, China. Language Proficiency : Mandarin and English (both required). Working Hours : Core delivery hours, plus flexible overlap with PST for client leadership meetings, governance forums, and handoffs. Key Responsibilities Define and own end-to-end enterprise architecture across OMS core, extension microservices, integration layers, and downstream systems. Translate business and functional requirements into technical solutions, ensuring alignment with business outcomes. Architect custom microservices as OMS extension points using cloud-native and event-driven patterns. Own non-functional requirements, including scalability, resiliency, security, latency, and cost. Collaborate with business, technology, and ISV teams to define scope, estimates, timelines, milestones, and phased delivery plans. Provide cost inputs and trade-off analysis (build vs. configure, in-house vs. ISV-delivered). Evaluate requirements against OMS OOB capabilities before recommending customization. Document OOB versus custom decisions and rationale. Define architectural standards, coding guidelines, integration patterns, and governance processes. Establish architecture review checkpoints and maintain architecture documentation. Lead solution workshops, architecture reviews, and trade-off discussions with business and technical stakeholders. Represent architecture decisions in client governance forums. Domain & Technical Expertise Strong B2B OMS domain knowledge, including order lifecycle, inventory/allocation, fulfillment orchestration, and returns. Preference for direct Burgeon OMS experience; experience with standalone OMS products and ERP-embedded OMS modules (e.g., Oracle EBS Order Management) is relevant. Knowledge of OMS integrations with Payment Gateways, PLM, Loyalty Platforms, Recommendation Engines, WMS, and Promotion Frameworks. Expertise in Java/J2EE, microservices, event-driven architecture, RESTful services, and integration patterns. Strong understanding of cloud architecture, preferably AWS, including Lambda, API Gateway, CloudWatch, SQS, SNS, EventBridge, Kinesis, Secrets Manager, and S3. Engineering, Governance & Support Define and enforce Agile delivery practices, architecture governance, and CI/CD standards. Review delivery execution and ensure alignment with architectural standards. Define observability strategies using New Relic, Datadog, Grafana, and Splunk. Guide L3 support processes and work with L1/L2 teams to resolve systemic issues. Proactively identify recurring issue patterns and drive automation opportunities. Troubleshoot and resolve cross-functional production issues requiring architectural judgment. Requirements Required Qualifications 12+ years of technology experience, including architecture, technical leadership, or solutioning ownership. Prior OMS implementation experience is mandatory; Burgeon OMS experience preferred. Experience building custom microservices as extension points to commercial OMS platforms. Must be locally based in China. Business proficiency in Mandarin and English (spoken and written). Proven experience defining scope, estimates, timelines, and phased delivery plans in client-facing engagements. Ability to operate effectively at both business and technical levels. Flexibility to overlap with IST and PST hours for client meetings and governance activities.

Location: Morocco; Egypt Intetics Inc. is a leading American technology company providing custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is looking for a Python Developer to enrich its team with a skilled professional. Responsibilities: Collaborate closely with CTO and founding engineer who are an expert in full stack development; Develop maintainable Python / FastAPI backends for API; Leverage AWS cloud services to enable complex workflow engine; Building backend for large language model app on AWS cloud; Work with Front-end engineers and product manager to deliver key backend functionality at a fast pace. Requirements 4+ year experience with Python Experience with Rest service frameworks such as Django, Flask, FastAPI (we are using FastAPI on our production); Deep understanding toward ORM and data modeling and management tools SQLAlchemy , Alembic, Pydantic etc. Past experience on AWS lambda and Stepfunction to manage workflow engine; managing cloud stack through infrastructure as code (IaC) framework such as CDK / Terraform is a huge plus; Strong background in TDD practice and expert level of driving TDD product building using frameworks such as pyTest, etc. Self-motivated and accountable, with a penchant for delivering high-caliber software; Ability to thrive in a fast-paced setting; Fluent in English. Experience with IntelicsML

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's enterprise business is growing fast, and enterprises are adopting Claude across product surfaces. Before they can deploy at scale, they need the same foundations everywhere: security and compliance controls, identity and access management, data governance, admin controls, and cost and spend management. This work is especially critical for customers in regulated industries (financial services, healthcare, public sector), whose security, privacy, and resilience requirements set the bar for everyone else. We're looking for a Technical Program Manager to partner with the teams that own these enterprise foundations, own the planning and execution rhythm that gets each capability onto every surface, and contribute to a coherent leadership view of coverage, gaps, and progress across products. This is a senior role: product, engineering, and GTM leaders will look to you for where we stand on enterprise readiness and for the plan to close the gaps. Responsibilities Run the planning and operating cadence for the foundational-capability roadmap across surfaces: clear DRIs, sequenced dependencies, and a single source of truth on coverage and status for product, engineering, and GTM leadership Drive the highest-priority foundational capability programs end to end, from scoping and tradeoff decisions through delivery on every surface Shape the readiness bar for new products and features: what a surface must have in place before it reaches enterprise customers, and the call on in-flight features that are missing controls Work across teams and directly with customers: partner with sales, customer success, solutions, and support on active deals and escalations, join customer security and compliance reviews, and bring what enterprises are blocked on back to product and engineering Translate customer and regulatory requirements into technical programs: work with legal, compliance, and GTM to prioritize the highest-impact enterprise asks and map them to roadmaps with dates Sample projects include Take a regulated customer's security control assessment from findings to closed gaps, with owners and dates across product, security, and infrastructure Stand up a data residency program: gather requirements by market, what each surface must support, and sequencing with infrastructure Build the operating model for co-building with a large enterprise design partner: staffing, cadence, and how their asks reach the roadmap Extend healthcare compliance coverage to new product surfaces, with a migration path customers can actually take You may be a good fit if you Have 8+ years of technical program management experience, with a track record of building cross-functional programs from scratch in ambiguous environments Have driven decisions among senior leaders with competing priorities, and are comfortable plainly articulating what is and is not ready for enterprise customers Have driven adoption of platform or horizontal capabilities across product teams that don't share a reporting line, where success depended on other teams building on what you shipped Understand what enterprises require before they adopt at scale, particularly for customers in regulated industries: security and compliance frameworks (SOC 2, ISO 27001, HIPAA, FedRAMP), identity and access (SSO, SCIM, RBAC), data governance (retention, residency, customer-managed keys), audit logging, and spend controls Have worked directly with regulated customers on their security reviews, questionnaires, audit findings, and contract redlines, and understand how control design, evidence collection, and engineering delivery fit together Thrive when the operating model itself is still being defined and see shaping it as part of the job Strong candidates may also have Owned a HIPAA program end to end at a software company, including BAAs, PHI handling, and supporting product controls Worked with financial services customers on data retention, data residency, and encryption requirements (including retention and deletion commitments, regional hosting, customer-managed keys, and contractual evidence and attestations) Run a design partnership or co-build with a large enterprise customer Experience using Claude or other LLM tooling to automate program tracking and reporting The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States; New Jersey; Boston; Canada; New York; Washington, DC; Ottawa; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. Note: between 20 - 40% travel anticipated. IN THIS ROLE, YOU WILL: - Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualization through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution - Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization - Travel up to 20–40% to work on-site with customers and partners YOU MAY BE A GOOD FIT IF: - You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code - You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute - You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks - You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency - You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs - You have experience owning the full scope of a use case end-to-end - You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting IT'S A BONUS IF YOU HAVE: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Salt Lake City, Utah, United States About the Role iCapital is looking to hire a SEC Reporting Specialist to join a fast-paced, rapid-growth environment on the Fund Finance Central Services Audit team. This role is an integral part of our team and is responsible for the oversight of all SEC reporting requirements and financial disclosures. This position will play a pivotal role in maintaining and enhancing our financial reporting controls and will work closely with the Fund Finance team, external senior leadership and other cross-functional stakeholders. Responsibilities Lead the preparation and review of all SEC filings, including Forms 10-K, 10-Q, 8-K, and other public disclosures for various clients. Oversee the preparation and review of consolidated financial statements, footnotes, Management’s Discussion and Analysis, and related supporting schedules. Partner with external senior leadership and other cross-functional stakeholders to coordinate disclosure input and accuracy. Administer financial reporting controls and partner with process owners and internal stakeholders to support a strong Sarbanes-Oxley compliance framework. Partner with external big 4 audit teams to ensure accurate and timely financial reporting, as well as answering open items. Manage and oversee the client’s consolidation process. Evaluate and improve internal controls continuously to ensure the highest level of financial integrity and transparency. Qualifications Bachelor’s degree in accounting, finance, or related field is required; CPA or MBA is preferred 5+ years of experience in SEC reporting, financial reporting, or a related field Strong knowledge of US GAAP, SEC regulations, and Sarbanes-Oxley compliance Experience with public disclosures and financial consolidations Proven ability to work with cross-functional teams and senior leadership Strong written and verbal communication skills Detail-oriented with strong organizational and project management skills Able to work in a fast-paced environment and meet tight deadlines Proficiency in Microsoft Office Suite and advanced Excel skills Experience with big 4 audit firms or DFIN ActiveDisclosure is a plus Benefits The base salary range for this role is $85,000 to $110,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Remote-Friendly, United States; San Francisco, CA | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're hiring Cyber Evaluations Engineers to build and run the evaluations that measure cyber-relevant capabilities and safeguard robustness in our models. You'll design new evals, run per-release robustness testing, and dig into data on jailbreaks and prompt bypasses to understand where our safeguards hold up and where they don't. You'll also design many of the probes that detect cyber abuse in production and help shape the overall detection architecture alongside the policy team. Key responsibilities Design and run capability, uplift, and safety evaluations to assess cyber-relevant risk in new models Execute per-release safeguard-robustness testing ahead of major model launches Analyze evaluation results and communicate findings clearly to the team and to stakeholders Design, prototype, and tune detection probes for cyber misuse Work with the cyber policy team to turn policy lines into a layered, robust abuse-detection architecture, and measure its precision and coverage over time Build and maintain internal tooling used to run and score evaluations Collaborate with policy and engineering partners to translate eval findings into safeguard improvements Minimum qualifications Experience building or running evaluations, benchmarks, or test suites for software or ML systems, including delivering results on short, fixed timelines Hands-on cybersecurity experience (e.g., CTF participation, vulnerability research, exploit development, or security research) Proficiency in Python Strong ability to communicate evaluation results with multiple cross-functional stakeholders or potential policy stakeholders Preferred qualifications Deep offensive-security or security-research experience, including experience building AI security benchmarks Experience analyzing adversarial or abuse data (e.g., jailbreaks, prompt bypasses, intrusion or fraud telemetry) Experience working onsite with government partners on testing or evaluation engagements Experience with AI/ML evaluation frameworks Familiarity with coordinated vulnerability disclosure practices Experience testing pre-release or pre-deployment software or models under confidentiality constraints Experience authoring detection content (e.g., Sigma, YARA, Suricata, SIEM rules) or building ML-based abuse detection Active secret security clearance or higher, or eligibility to obtain one The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.