{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/alignment"},"x-facet":{"type":"skill","slug":"alignment","display":"alignment","count":11},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_07630d18-d9e"},"title":"Director of Engineering, Product","description":"<p>About Mixpanel</p>\n<p>Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence.</p>\n<p><strong>About Mixpanel Engineering</strong></p>\n<p>Mixpanel Engineering is a small, fast-moving team focused on delivering real value to customers. We build powerful AI-powered product analytics while obsessing over clarity, simplicity, and delight. Product innovation drives our business, and product engineering teams own that responsibility.</p>\n<p><strong>About the Role</strong></p>\n<p>The Director of Engineering, reporting directly to the CTO, will be responsible for all of Product Engineering. You&#39;ll own the core analysis experience that product managers and engineers rely on daily, the growth infrastructure that brings new builders into the product and keeps them there, and the platform capabilities that let teams test and ship with confidence. Success is measured by revenue and retention.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li>Lead multiple engineering teams across different product areas. This role is for someone who develops people seriously and holds a high bar for execution.</li>\n</ul>\n<ul>\n<li>Build an AI first product analytics for the next generation of software</li>\n</ul>\n<ul>\n<li>Hire well, coach deeply, and build a culture where engineers feel ownership and pride in what they ship.</li>\n</ul>\n<ul>\n<li>Shape direction alongside Product and Design, turning big ideas into focused execution without losing quality.</li>\n</ul>\n<ul>\n<li>Set the technical bar. Empower tech leads with clarity and trust, and protect the systems your teams own.</li>\n</ul>\n<ul>\n<li>Identify and deliver strategies that create real value for customers and the business.</li>\n</ul>\n<ul>\n<li>Drive technical strategy, including evolving foundational capabilities to support the long-term product vision.</li>\n</ul>\n<ul>\n<li>Partner with Design, Product, and GTM to bring product capabilities to market.</li>\n</ul>\n<p><strong>What We&#39;re Looking For</strong></p>\n<ul>\n<li>10+ years of engineering experience; 4+ years leading engineering teams of 50+, including experience managing managers.</li>\n</ul>\n<ul>\n<li>Proven track record building and shipping customer-facing web applications at scale.</li>\n</ul>\n<ul>\n<li>Experience building AI-powered products in production, not as an add-on, but as a core part of the product.</li>\n</ul>\n<ul>\n<li>Strong collaboration with product managers and designers on meaningful user-facing work.</li>\n</ul>\n<ul>\n<li>Strong judgment in technical tradeoffs, with lessons learned to back it up.</li>\n</ul>\n<ul>\n<li>Evidence of leadership through influence, alignment, and growing others.</li>\n</ul>\n<ul>\n<li>Skilled at navigating ambiguity, making tradeoffs, and bringing clarity to complex org structures.</li>\n</ul>\n<ul>\n<li>High ownership, accountability, and product instinct.</li>\n</ul>\n<ul>\n<li>Uses AI to do better work: curious, discerning, and practical about it.</li>\n</ul>\n<p><strong>How We Work</strong></p>\n<ul>\n<li>Product teams operate as autonomous pods, with engineering, product, and design working side by side on clear goals, and direct access to customer feedback, usage data, and business metrics.</li>\n</ul>\n<ul>\n<li>We start with customer problems. We reason from first principles. We aim for simple solutions to complex problems.</li>\n</ul>\n<ul>\n<li>Engineering owns execution, quality, and operations. No project managers, QA teams, or separate SREs. Ownership stays with the people building.</li>\n</ul>\n<ul>\n<li>We value written thinking, dashboards, and demos over slide decks. We work openly using Slack, GitHub, Mixpanel, Notion, Figma, and Zoom.</li>\n</ul>\n<ul>\n<li>Our team is distributed across North America, with strong clusters in San Francisco and New York.</li>\n</ul>\n<p><strong>Why Now</strong></p>\n<p>AI is flooding software with output. Building is getting cheaper. Features are getting easier. The hard problem is knowing what actually works. We process trillions of events and petabytes of data daily, with over a decade of behavioral data to draw from. The work now is turning that foundation into something that tells you not just what happened, but why, and what to do about it. That&#39;s the problem this role works on.</p>\n<p>Compensation</p>\n<p>The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage. You can view our benefits offerings here.</p>\n<p>Mixpanel Compensation Range $320,000-$400,000 USD</p>\n<p>Benefits and Perks</p>\n<ul>\n<li>Comprehensive Medical, Vision, and Dental Care</li>\n</ul>\n<ul>\n<li>Mental Wellness Benefit</li>\n</ul>\n<ul>\n<li>Generous Vacation Policy &amp; Additional Company Holidays</li>\n</ul>\n<ul>\n<li>Enhanced Parental Leave</li>\n</ul>\n<ul>\n<li>Volunteer Time Off</li>\n</ul>\n<ul>\n<li>Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break</li>\n</ul>\n<p><em>please note that benefits and perks for contract positions will vary</em></p>\n<p>Culture Values</p>\n<ul>\n<li>Make Bold Bets: We choose courageous action over comfortable progress.</li>\n</ul>\n<ul>\n<li>Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.</li>\n</ul>\n<ul>\n<li>One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.</li>\n</ul>\n<ul>\n<li>Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.</li>\n</ul>\n<ul>\n<li>Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.</li>\n</ul>\n<ul>\n<li>Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible.</li>\n</ul>\n<p>Why choose Mixpanel?</p>\n<p>We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics. Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service. Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_07630d18-d9e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mixpanel","sameAs":"https://mixpanel.com","logo":"https://logos.yubhub.co/mixpanel.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/mixpanel/jobs/7850982?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$320,000-$400,000 USD","x-skills-required":["engineering","product management","design","AI","data analytics","customer-facing web applications","technical tradeoffs","leadership","influence","alignment","growing others","ambiguity","making tradeoffs","bringing clarity"],"x-skills-preferred":[],"datePosted":"2026-04-24T16:09:42.162Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, US (Hybrid)"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"engineering, product management, design, AI, data analytics, customer-facing web applications, technical tradeoffs, leadership, influence, alignment, growing others, ambiguity, making tradeoffs, bringing clarity","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":400000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_40d7c45c-7eb"},"title":"Researcher, Loss of Control","description":"<p><strong>Compensation</strong></p>\n<p>Estimated Base Salary $295K – $445K</p>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the team</strong></p>\n<p>The Safety Systems org ensures that OpenAI’s most capable models can be responsibly developed and deployed. We build evaluations, safeguards, and safety frameworks that help our models behave as intended in real-world settings.</p>\n<p><strong>About the role</strong></p>\n<p>As frontier AI systems become more capable, they are increasingly able to pursue long-horizon goals, use tools, adapt to feedback, and operate with greater autonomy. These advances create enormous potential benefits, but they also introduce the risk that models may behave in ways that are misaligned, deceptive, or difficult to supervise or contain. Reducing loss of control risk is therefore a core challenge for safely developing and deploying advanced AI systems.</p>\n<p>As a Researcher for loss of control mitigations, you will help design and implement an end-to-end mitigation stack to reduce the risk of intentionally subversive or insufficiently controllable model behavior across OpenAI’s products and internal deployments. This role requires strong technical depth and close cross-functional collaboration to ensure safeguards are enforceable, scalable, and effective. You’ll contribute directly to building protections that remain robust as model capabilities, deployment patterns, and threat models evolve.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Design and implement mitigation components for loss of control risk,spanning prevention, monitoring, detection, containment, and enforcement,under the guidance of senior technical and risk leadership.</li>\n</ul>\n<ul>\n<li>Integrate safeguards across product and research surfaces in partnership with product, engineering, and research teams, helping ensure protections are consistent, low-latency, and resilient as usage and model autonomy increase.</li>\n</ul>\n<ul>\n<li>Evaluate technical trade-offs within the loss of control domain (coverage, robustness, latency, model utility, and operational complexity) and propose pragmatic, testable solutions.</li>\n</ul>\n<ul>\n<li>Collaborate closely with risk modeling, evaluations, and policy partners to align mitigation design with anticipated failure modes and high-severity threat scenarios, including deceptive alignment, hidden subgoals, reward hacking, and attempts to evade oversight.</li>\n</ul>\n<ul>\n<li>Execute rigorous testing and red-teaming workflows, helping stress-test the mitigation stack against increasingly capable and potentially subversive model behaviors,such as sandbagging, monitor evasion, exploit-seeking, unsafe tool use, or strategic deception,and iterate based on findings.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have a passion for AI safety and are motivated to make cutting-edge AI models safer for real-world use.</li>\n</ul>\n<ul>\n<li>Bring demonstrated experience in deep learning and transformer models.</li>\n</ul>\n<ul>\n<li>Are proficient with frameworks such as PyTorch or TensorFlow.</li>\n</ul>\n<ul>\n<li>Possess a strong foundation in data structures, algorithms, and software engineering principles.</li>\n</ul>\n<ul>\n<li>Are familiar with methods for training and fine-tuning large language models, including distillation, supervised fine-tuning, and policy optimization.</li>\n</ul>\n<ul>\n<li>Excel at working collaboratively with cross-functional teams across research, policy, product, and engineering.</li>\n</ul>\n<ul>\n<li>Have significant experience designing and evaluating technical safeguards, control mechanisms, or monitoring systems for advanced AI behavior.</li>\n</ul>\n<ul>\n<li>(Nice to have) Bring background knowledge in alignment, control, interpretability, robustness, adversarial ML, or related fields.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_40d7c45c-7eb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/20d85859-8f7e-4e13-a992-b801a34780e5?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$295K – $445K","x-skills-required":["deep learning","transformer models","PyTorch","TensorFlow","data structures","algorithms","software engineering principles","large language models","distillation","supervised fine-tuning","policy optimization"],"x-skills-preferred":["alignment","control","interpretability","robustness","adversarial ML"],"datePosted":"2026-04-24T12:23:48.372Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"deep learning, transformer models, PyTorch, TensorFlow, data structures, algorithms, software engineering principles, large language models, distillation, supervised fine-tuning, policy optimization, alignment, control, interpretability, robustness, adversarial ML","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":295000,"maxValue":445000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_78ae8204-779"},"title":"Senior Staff Software Engineer, Solana Staking Protocol","description":"<p>Ready to be pushed beyond what you think you’re capable of?</p>\n<p>At Coinbase, our mission is to increase economic freedom in the world.</p>\n<p>We&#39;re seeking a Senior Staff Software Engineer to serve as Coinbase&#39;s Solana Staking Protocol CTO , the definitive technical authority on all things Solana staking across the company.</p>\n<p>This is not a typical engineering role. You will combine deep Solana protocol mastery with strategic technical leadership to shape Coinbase&#39;s Solana staking trajectory for years to come.</p>\n<p>You will own the technical strategy across validator operations, staking integrations, and protocol evolution , partnering directly with engineering leadership, product teams, and external ecosystem players including the Solana Foundation.</p>\n<p>You will represent Coinbase on the world stage as a recognized Solana expert, speaking at conferences, engaging with the validator community, and influencing protocol direction.</p>\n<p>Internally, you will be the go-to expert for any Solana staking technical decision, from runtime-level optimizations to cross-product integration strategy.</p>\n<p><strong>Responsibilities</strong></p>\n<p><strong>Define Solana Staking Strategy</strong></p>\n<p>Own and drive Coinbase&#39;s multi-year technical strategy for Solana staking across validator performance, protocol participation, and product integration.</p>\n<p>Connect engineering decisions to business outcomes including yield optimization, cost efficiency, and customer growth.</p>\n<p><strong>Maximize Validator Performance</strong></p>\n<p>Lead the engineering effort to achieve industry-leading APY through validator optimization , including vote accuracy, block production, MEV strategies, commission tuning, and stake distribution.</p>\n<p>Build systems and tooling that give Coinbase a durable performance edge.</p>\n<p><strong>Own Protocol Expertise</strong></p>\n<p>Serve as Coinbase&#39;s foremost authority on the Solana runtime, consensus mechanism, staking economics, and validator client landscape (Agave, Firedancer, etc.).</p>\n<p>Evaluate protocol upgrades (e.g., SIMD proposals), assess risks, and proactively position Coinbase for changes before they land.</p>\n<p><strong>Drive Cross-Product Integration</strong></p>\n<p>Partner with Retail Staking and Institutional Staking product and engineering teams to architect scalable staking integrations across Coinbase&#39;s product surface area.</p>\n<p>Ensure Solana staking is deeply embedded and differentiated in every Coinbase staking product.</p>\n<p><strong>Build External Presence &amp; Influence</strong></p>\n<p>Represent Coinbase in the Solana ecosystem.</p>\n<p>Maintain deep relationships with the Solana Foundation, core development teams, other major validators, and ecosystem partners.</p>\n<p>Speak at major conferences (Breakpoint, etc.) and contribute to protocol governance.</p>\n<p>Be Coinbase&#39;s voice on Solana staking.</p>\n<p><strong>Lead Technical Execution</strong></p>\n<p>Write production code.</p>\n<p>Design and build critical infrastructure for validator operations, monitoring, automation, and reliability.</p>\n<p>Set the technical bar for the team , code reviews, architecture decisions, incident response.</p>\n<p><strong>Expand Beyond Staking</strong></p>\n<p>Serve as a technical advisor on non-staking Solana initiatives where deep protocol knowledge is required (e.g., Solana tax infrastructure, token programs, new Solana-based products).</p>\n<p><strong>Mentor and Scale the Team</strong></p>\n<p>Elevate a team of strong engineers (IC4-IC5) through mentorship, architectural guidance, and raising the bar on Solana-specific domain expertise.</p>\n<p>Define what great Solana engineering looks like at Coinbase.</p>\n<p><strong>Requirements</strong></p>\n<p><strong>Deep Solana Protocol Expertise</strong></p>\n<p>You have extensive, hands-on experience with Solana&#39;s architecture , Eg: the runtime, validator mechanics, staking economics, consensus (Tower BFT), turbine, Gulf Stream, and the validator client ecosystem.</p>\n<p>You understand Solana at the source-code level, not just the API level.</p>\n<p><strong>Technical Authority &amp; Execution</strong></p>\n<p>You are a strong IC7-caliber engineer.</p>\n<p>You design and build complex distributed systems.</p>\n<p>You write production code in Rust and/or Go.</p>\n<p>You have deep experience with infrastructure at scale , bare metal, cloud, networking, observability.</p>\n<p><strong>Strategic Vision</strong></p>\n<p>You can define year-long technical strategies and connect them to business goals.</p>\n<p>You break down ambiguous, large-scope problems into executable plans with measurable milestones.</p>\n<p>You think in terms of competitive advantage, not just engineering correctness.</p>\n<p><strong>Ecosystem Presence &amp; Influence</strong></p>\n<p>You are a known figure in the Solana ecosystem.</p>\n<p>You have existing relationships with the Solana Foundation, core contributor teams, and major validators.</p>\n<p>You have a track record of public speaking, community engagement, or protocol governance participation.</p>\n<p><strong>Cross-Functional Leadership</strong></p>\n<p>You partner effectively with product, business, and executive stakeholders.</p>\n<p>You translate complex protocol dynamics into business-relevant terms for non-technical audiences.</p>\n<p>You drive alignment across multiple teams and functions.</p>\n<p><strong>Passion for Solana</strong></p>\n<p>This isn&#39;t a role for a generalist who happens to know some Solana.</p>\n<p>You are genuinely passionate about the Solana ecosystem, follow protocol developments closely, and have a strong thesis on where Solana staking is headed.</p>\n<p><strong>Ability to Responsibly Use Generative AI Tools</strong></p>\n<p>Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.</p>\n<p><strong>Nice to Have</strong></p>\n<p><strong>Core Contributor to Solana Validator Clients</strong></p>\n<p>Core contributor to Solana validator clients (Agave, Firedancer) or significant Solana ecosystem projects.</p>\n<p><strong>Experience Operating in Highly Regulated Industries</strong></p>\n<p>Experience operating in highly regulated industries or security-first cultures.</p>\n<p><strong>Background in Financial Services</strong></p>\n<p>Background in financial services, fintech, or crypto custody.</p>\n<p><strong>Track Record of Publishing Technical Content</strong></p>\n<p>Track record of publishing technical content (blog posts, research, conference talks) on Solana or Blockchain in general.</p>\n<p><strong>Experience with Solana&#39;s Evolving Staking Landscape</strong></p>\n<p>Experience with Solana&#39;s evolving staking landscape , liquid staking, stake pools, restaking protocols.</p>\n<p><strong>Familiarity with Other PoS Protocol Staking Operations</strong></p>\n<p>Familiarity with other PoS protocol staking operations (Ethereum, Cosmos ecosystem) for comparative perspective.</p>\n<p><strong>Pay Transparency Notice</strong></p>\n<p>Depending on your work location, the target annual base salary for this position can range as detailed below.</p>\n<p>Total compensation may also include equity and bonus eligibility and benefits (including medical, dental)</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_78ae8204-779","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Coinbase","sameAs":"https://www.coinbase.com/","logo":"https://logos.yubhub.co/coinbase.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coinbase/jobs/7684298?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Solana","Rust","Go","Distributed Systems","Cloud Infrastructure","Networking","Observability","Validator Operations","Staking Integrations","Protocol Evolution","Cross-Product Integration","Technical Leadership","Strategic Vision","Competitive Advantage","Business Goals","Executable Plans","Milestones","Alignment","Multiple Teams","Functions","Passion for Solana","Generative AI Tools","Copilots","Human-in-the-Loop Practices","Efficiency","Cost","Quality"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:56:21.451Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - USA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Solana, Rust, Go, Distributed Systems, Cloud Infrastructure, Networking, Observability, Validator Operations, Staking Integrations, Protocol Evolution, Cross-Product Integration, Technical Leadership, Strategic Vision, Competitive Advantage, Business Goals, Executable Plans, Milestones, Alignment, Multiple Teams, Functions, Passion for Solana, Generative AI Tools, Copilots, Human-in-the-Loop Practices, Efficiency, Cost, Quality"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1949ad71-41a"},"title":"Senior Manager, Engagement Management","description":"<p>As a Senior Manager, Engagement Management, you&#39;ll help scale GitLab&#39;s Professional Services business across Europe and Asia by managing a team that works closely with Sales and Customer Success to turn customer needs into clear services proposals and faster time to value.</p>\n<p>This is a strategic leadership role with regional scope, focused on professional services sales, forecast accuracy, team development, and stronger alignment across go-to-market teams. You&#39;ll report through the Professional Services organization and play a key role in shaping how GitLab supports enterprise and commercial customers adopting our AI-powered DevSecOps platform.</p>\n<p>In your first year, you&#39;ll help strengthen forecasting discipline, improve opportunity distribution and proposal quality, and create more consistent practices for discovery, scoping, estimation, and statement of work development.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Manage a team of Engagement Managers responsible for consultative Professional Services selling across your region.</li>\n<li>Manage regional Professional Services bookings accountability and maintain a timely, accurate weekly forecast.</li>\n<li>Coach team members on pipeline generation, opportunity prioritization, customer discovery, scoping, estimation, statement of work creation, negotiation, and closing.</li>\n<li>Work with Sales Leadership and Customer Success leaders to align territory priorities, forecast updates, and services strategy.</li>\n<li>Distribute customer opportunities across the team to support balanced geographic or segment coverage.</li>\n<li>Develop strategic proposals that align the Engagement Manager team with Sales and Customer Success organizations.</li>\n<li>Partner with Professional Services Delivery, Ecosystem Partners, and Product teams to define common estimation patterns and proposal standards.</li>\n<li>Improve the Professional Services sales process, including proactive services positioning, scalable offerings, and more consistent selling practices.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Experience managing, guiding, or delivering work in Professional Services or Customer Success environments.</li>\n<li>Experience supporting Professional Services sales, including consultative selling and customer-facing solution discussions.</li>\n<li>Ability to work effectively with Account Executives and other go-to-market partners during the sales process.</li>\n<li>Knowledge of subscription-based business models across SaaS and on-premises offerings.</li>\n<li>Capability to coach teams through complex negotiations, prioritization decisions, and structured deal execution.</li>\n<li>Comfort using GitLab in day-to-day work and staying current with product releases and feature updates.</li>\n<li>Skill in guiding distributed teams through clear communication, accountability, and asynchronous collaboration.</li>\n<li>Openness to candidates with transferable experience from related services, customer-facing, or revenue-focused leadership roles.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>We are part of GitLab&#39;s Professional Services organization and support customers by shaping services engagements that help them adopt GitLab effectively and realize value sooner. 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Twilio is undergoing a major business transformation powered by Enterprise AI, supported by a dedicated engineering team building the foundations for a unified, secure, and scalable operating system across GTM functions (Sales, Support, Operations, etc.) as well as Internal non-GTM functions (Finance, HR, Legal, etc.).</p>\n<p>In this role, you&#39;ll co-lead the design and development of our software infrastructure, driving technical vision and strategy to ensure scalability, reliability, and performance. You will oversee the integration of complex React-based front-ends with backend modular services, ensuring a seamless UI experience.</p>\n<p>As a Staff Software Engineer within Enterprise AI, you are the technical heartbeat of our products. Your role is to bridge the gap between bleeding-edge AI research and robust, full-stack production systems.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Co-lead the design and development of our software infrastructure, driving technical vision and strategy to ensure scalability, reliability, and performance.</li>\n<li>Drive the development of sophisticated, stateful web applications.</li>\n<li>Serve as developer leader in distributed systems, data technologies, with strong software engineering skills.</li>\n<li>Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices.</li>\n<li>Mentor and elevate a team of high-performing engineers.</li>\n<li>Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, Engineering, or a related field.</li>\n<li>8+ years of experience in data engineering, software development, or a related field, with at least 3 years in a technical leadership role.</li>\n<li>Experience with full-stack development building web apps, using modern programming languages such as JavaScript, Typescript or React.</li>\n<li>Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems.</li>\n<li>Strong understanding of data modeling, data warehousing, and ETL processes, with experience designing and optimizing data pipelines.</li>\n<li>Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams.</li>\n<li>Strong leadership skills, with a track record of mentoring and developing high-performing engineering teams.</li>\n<li>Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines.</li>\n</ul>\n<p>Desired:</p>\n<ul>\n<li>Experience developing production-quality LLM applications and using modern agent frameworks such as Langchain, Langgraph, Llamaindex, LangSmith, LangFuse, CrewAI, and/or others is a plus.</li>\n<li>Expertise in big data technologies such as Hadoop, Spark, Kafka, and cloud-based data services (AWS/GCP/Azure).</li>\n</ul>\n<p>Travel:</p>\n<p>This role will be remote and based in Colombia. Travel may be required to participate in project or team in-person meetings.</p>\n<p>What We Offer:</p>\n<p>Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.</p>\n<p>Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That&#39;s why we seek out colleagues who embody our values , something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.</p>\n<p>So, if you&#39;re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_114d6e6c-0d0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Twilio","sameAs":"https://www.twilio.com/","logo":"https://logos.yubhub.co/twilio.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/twilio/jobs/7716279?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["full-stack development","JavaScript","Typescript","React","data engineering","software development","distributed systems","data technologies","strong software engineering skills","technical innovation","research","emerging data technologies","best practices","mentorship","team leadership","communication","collaboration","influence","alignment","leadership skills","mentoring","high-performing engineering teams","fast-paced","dynamic environment","results under tight timelines"],"x-skills-preferred":["LLM applications","modern agent frameworks","Langchain","Langgraph","Llamaindex","LangSmith","LangFuse","CrewAI","big data technologies","Hadoop","Spark","Kafka","cloud-based data services","AWS","GCP","Azure"],"datePosted":"2026-04-18T15:42:12.273Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Colombia"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"full-stack development, JavaScript, Typescript, React, data engineering, software development, distributed systems, data technologies, strong software engineering skills, technical innovation, research, emerging data technologies, best practices, mentorship, team leadership, communication, collaboration, influence, alignment, leadership skills, mentoring, high-performing engineering teams, fast-paced, dynamic environment, results under tight timelines, LLM applications, modern agent frameworks, Langchain, Langgraph, Llamaindex, LangSmith, LangFuse, CrewAI, big data technologies, Hadoop, Spark, Kafka, cloud-based data services, AWS, GCP, Azure"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_be02546a-24d"},"title":"Senior Director of Production - Battlefield Operations","description":"<p>We&#39;re looking for a Senior Director of Production to help us build and sustain high-performing, healthy teams across multiple locations and time zones. As a key member of our Battlefield Studios team, you will be accountable for the effectiveness, sustainability, and delivery outcomes of shared teams operating through geographic, product needs, and organisational structures.</p>\n<p>This role exists to ensure that distributed team models deliver effectively without eroding team health, clarity of ownership, or long-term talent retention. You will work closely with delivery leaders, local people leaders, franchise operations, and senior stakeholders to establish clear operating models, set expectations, and actively manage the additional complexity of cross product and team collaboration.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own and continuously evolve the cross-site operating model for Shared Teams, ensuring clear accountability, decision rights, and role clarity across all locations.</li>\n<li>Establish and uphold end-to-end delivery accountability for Work Managers, ensuring priorities, commitments, and outcomes are aligned and consistently executed across locations.</li>\n<li>Partner closely with senior local leaders to safeguard team health, sustainability, and long-term engagement, particularly within distributed delivery structures.</li>\n<li>Set and model high standards for cross-site leadership behavior, including clarity in written direction, explicit prioritization, and inclusive, transparent decision-making.</li>\n<li>Proactively identify and mitigate the cost, complexity, and risk inherent in cross-site collaboration, including time-zone friction, asynchronous workflows, and decision latency.</li>\n<li>Design and maintain an effective operating cadence between Work Managers and Local Leaders to surface risks early, resolve ambiguity quickly, and enable timely, well-informed escalation.</li>\n<li>Intervene decisively when delivery models rely on heroics or unsustainable practices, reinforcing disciplined execution and long-term organisational health.</li>\n<li>Champion distributed teams as strategic contributors to product outcomes, ensuring they are fully integrated, empowered, and recognised as core partners in delivery.</li>\n<li>Represent cross-site system health, sustainability risks, and trade-offs with clarity and accuracy to senior leadership, enabling informed decision-making at the portfolio level.</li>\n<li>Define and articulate a compelling vision, clear direction, and operating boundaries for the Battlefield Shared Teams Group, guiding teams toward measurable realisation of that vision.</li>\n<li>Collaborate with Game, Production, Operations, and Craft leadership to establish resilient shared team structures, effective methodologies, and scalable development systems.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Strong delivery leadership background, with the ability to balance execution, sustainability, and long-term organisational health.</li>\n<li>Demonstrated ability to influence, align, and escalate across organisational and geographic boundaries.</li>\n<li>High judgment and systems thinking, with comfort operating in ambiguous, evolving environments.</li>\n<li>Clear and effective communicator, with a strong bias toward written clarity and shared understanding.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>10+ years of experience leading complex teams, products, or organisations.</li>\n<li>5+ years of experience operating in distributed or multi-site team structures.</li>\n<li>5+ years of working at a senior lead capacity of live game development organisation with financial insight and data driven mindset</li>\n<li>Demonstrated success in senior leadership roles involving delivery ownership and people leadership.</li>\n<li>Experience working across time zones and cultures in a global organisation.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience building or scaling shared-team or hub-and-spoke operating models.</li>\n<li>Demonstrated success retaining and growing senior talent in distributed teams.</li>\n<li>Background in live service or continuously evolving product environments.</li>\n<li>You are influence-oriented, and excel at collaborating with other leaders and guiding the collective group to the best action, decision, or result.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_be02546a-24d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Electronic Arts","sameAs":"https://jobs.ea.com","logo":"https://logos.yubhub.co/jobs.ea.com.png"},"x-apply-url":"https://jobs.ea.com/en_US/careers/JobDetail/Senior-Director-of-Production-Battlefield-Franchise-Operations/212843?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["delivery leadership","cross-site collaboration","team health","sustainability","long-term organisational health","influence","alignment","escalation","high judgment","systems thinking","written clarity","shared understanding"],"x-skills-preferred":["operating model design","delivery accountability","team engagement","strategic contributor","product outcomes","resilient team structures","effective methodologies","scalable development systems"],"datePosted":"2026-03-09T11:04:14.164Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Montreal"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"delivery leadership, cross-site collaboration, team health, sustainability, long-term organisational health, influence, alignment, escalation, high judgment, systems thinking, written clarity, shared understanding, operating model design, delivery accountability, team engagement, strategic contributor, product outcomes, resilient team structures, effective methodologies, scalable development systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_453f53c5-e0d"},"title":"Research Engineer, AI Observability","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;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.</p>\n<p><strong>About the Team</strong></p>\n<p>As AI training and deployments scale, the volume of data we need to monitor and understand is exploding. Our team uses Claude itself to make sense of this data. We own an integrated set of tools enabling Anthropic to ask open-ended questions, surface unexpected patterns, and maintain meaningful human oversight over massive datasets.</p>\n<p>Our tools are widely adopted internally — powering ongoing enforcement, threat intelligence investigations, model audits, and more — and we’re looking for experienced engineers and researchers to both scale up existing applications and go zero-to-one on new ones.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Research Engineer on our team, you&#39;ll design and build systems that let AI analyse large, unstructured datasets — think tens or hundreds of thousands of conversations or documents — and produce structured, trustworthy insights. You&#39;ll work across the full stack, from core analysis frameworks through user-facing apps and interfaces.</p>\n<p>This is a high-leverage role. The tools you build will be used by dozens of researchers and investigators, and directly shape our ability to measure and mitigate both misuse and misalignment.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Design and implement AI-based monitoring systems for AI training and deployment</li>\n</ul>\n<ul>\n<li>Extend and improve core frameworks for processing large volumes of unstructured text</li>\n</ul>\n<ul>\n<li>Partner with researchers and safety teams across Anthropic to understand their analytical needs and build solutions</li>\n</ul>\n<ul>\n<li>Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings</li>\n</ul>\n<ul>\n<li>Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest</li>\n</ul>\n<p><strong>You May Be a Good Fit If You:</strong></p>\n<ul>\n<li>Have 5+ years of software engineering experience, with meaningful exposure to ML systems</li>\n</ul>\n<ul>\n<li>Are excited about the problem of scaling human oversight of AI systems</li>\n</ul>\n<ul>\n<li>Are familiar with LLM application development (context engineering, evaluation, orchestration)</li>\n</ul>\n<ul>\n<li>Enjoy building tools that other people use — you care about UX, reliability, and documentation</li>\n</ul>\n<ul>\n<li>Can context-switch between deep infrastructure work and user-facing product thinking</li>\n</ul>\n<ul>\n<li>Thrive in collaborative, cross-functional environments</li>\n</ul>\n<p><strong>Strong Candidates May Also Have:</strong></p>\n<ul>\n<li>Research experience in AI safety, alignment, or responsible deployment</li>\n</ul>\n<ul>\n<li>Practical experience with both data science and engineering, including developing and using large-scale data processing frameworks</li>\n</ul>\n<ul>\n<li>Experience with productionizing internal tools or building developer-facing platforms</li>\n</ul>\n<ul>\n<li>Background in building monitoring or observability systems</li>\n</ul>\n<ul>\n<li>Comfort with ambiguity — our team is small and growing, and you&#39;ll help define what we become</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> 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.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;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.</p>\n<p><strong>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&#39;re interested in this work.</strong></p>\n<p><strong>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&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</strong></p>\n<p><strong>How we&#39;re different</strong></p>\n<p>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&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_453f53c5-e0d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5125083008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000 - $405,000 USD","x-skills-required":["software engineering","ML systems","LLM application development","context engineering","evaluation","orchestration","UX","reliability","documentation","data science","engineering","large-scale data processing frameworks","productionizing internal tools","developer-facing platforms","monitoring","observability systems"],"x-skills-preferred":["research experience in AI safety","alignment","responsible deployment","practical experience with both data science and engineering","experience with productionizing internal tools or building developer-facing platforms","background in building monitoring or observability systems","comfort with ambiguity"],"datePosted":"2026-03-08T13:49:26.465Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, ML systems, LLM application development, context engineering, evaluation, orchestration, UX, reliability, documentation, data science, engineering, large-scale data processing frameworks, productionizing internal tools, developer-facing platforms, monitoring, observability systems, research experience in AI safety, alignment, responsible deployment, practical experience with both data science and engineering, experience with productionizing internal tools or building developer-facing platforms, background in building monitoring or observability systems, comfort with ambiguity","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_459d7a0d-23e"},"title":"Technical Program Manager, Inference Performance","description":"<p>As a Technical Program Manager for Inference, you&#39;ll be the critical bridge between our inference systems and the broader organisation. You&#39;ll drive strategic initiatives across inference runtime and accelerator performance—coordinating model launches, managing cross-platform dependencies, and ensuring reliability across multiple hardware targets.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li><strong>Systems Integration &amp; Coordination</strong>: Lead cross-functional initiatives for new infrastructure integration, establishing clear ownership, timelines, and communication channels between teams. Drive end-to-end planning for major infrastructure transitions including platform modernization and new tech adoption.</li>\n<li><strong>Performance &amp; Efficiency:</strong> Partner with engineering teams to identify optimisation opportunities, track performance metrics, and prioritise work that unlocks capacity gains. 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Translate technical complexities into clear updates for leadership and ensure alignment on priorities and timelines.</li>\n<li><strong>Process Improvement:</strong> Identify inefficiencies in current workflows and drive systematic improvements. Establish metrics and dashboards to track infrastructure health, capacity utilisation, and deployment success rates.</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have several years of experience in technical program management, with proven success delivering complex infrastructure programs, preferably in ML/AI systems or large-scale distributed systems</li>\n<li>Have deep technical understanding of inference systems, compilers, or hardware accelerators to engage substantively with engineers and identify technical risks.</li>\n<li>Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives</li>\n<li>Have strong stakeholder management skills and can build trust with both technical and non-technical partners</li>\n<li>Are comfortable navigating competing priorities and using data to drive technical decisions</li>\n<li>Have experience with infrastructure scaling initiatives, hardware integrations, or deployment governance</li>\n<li>Thrive in fast-paced environments and can balance strategic planning with tactical execution</li>\n<li>Are passionate about AI infrastructure and understand the unique challenges of deploying and scaling large language models</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</li>\n<li><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. 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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.</li>\n</ul>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_459d7a0d-23e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5107763008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$290,000 - $365,000USD","x-skills-required":["technical program management","inference systems","compilers","hardware accelerators","cross-functional initiatives","model launches","cross-platform dependencies","reliability","performance metrics","capacity gains","efficiency wins","runtime","accelerator layers","launch timelines","smooth handoffs","strategic planning","inference deployment roadmap","engineering leadership","prioritisation","dependencies","visibility","upcoming changes","organisational impact","stakeholder communication","requirements","constraints","technical complexities","clear updates","leadership","alignment","priorities","timelines","process improvement","inefficiencies","workflows","systematic improvements","metrics","dashboards","infrastructure health","capacity utilisation","deployment success rates"],"x-skills-preferred":["infrastructure scaling initiatives","hardware integrations","deployment governance","fast-paced environments","strategic planning","tactical execution","AI infrastructure","large language models"],"datePosted":"2026-03-08T13:48:59.030Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"technical program management, inference systems, compilers, hardware accelerators, cross-functional initiatives, model launches, cross-platform dependencies, reliability, performance metrics, capacity gains, efficiency wins, runtime, accelerator layers, launch timelines, smooth handoffs, strategic planning, inference deployment roadmap, engineering leadership, prioritisation, dependencies, visibility, upcoming changes, organisational impact, stakeholder communication, requirements, constraints, technical complexities, clear updates, leadership, alignment, priorities, timelines, process improvement, inefficiencies, workflows, systematic improvements, metrics, dashboards, infrastructure health, capacity utilisation, deployment success rates, infrastructure scaling initiatives, hardware integrations, deployment governance, fast-paced environments, strategic planning, tactical execution, AI infrastructure, large language models","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":290000,"maxValue":365000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c33b2d78-cc9"},"title":"Research Lead, Training Insights","description":"<p><strong>About the role</strong></p>\n<p>As a Research Lead on the Training Insights team, you&#39;ll develop the strategy for, and lead execution on, how we measure and characterise model capabilities across training and deployment. This is a hands-on leadership role: you&#39;ll drive original research into new evaluation methodologies while leading a small team of researchers and research engineers doing the same.</p>\n<p>Your work will span the full lifecycle of model development. You&#39;ll research and build new long-horizon evaluations that test the boundaries of what our models can achieve, develop novel approaches to measuring emerging capabilities, and deepen our understanding of how those capabilities develop — both during production RL training and after. You&#39;ll also take a cross-organisational view, working across Reinforcement Learning, Pretraining, Inference, Product, Alignment, Safeguards, and other teams to map the landscape of model evaluations at Anthropic and identify critical gaps in coverage.</p>\n<p>This role carries significant visibility and impact. You&#39;ll help shape the evaluation narrative for model releases, contributing directly to how Anthropic communicates about its models to both internal and external audiences. Done well, you will change how the industry measures and understands model capabilities, significantly furthering our safety mission.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Build new novel and long-horizon evaluations</li>\n<li>Develop novel measurement approaches for understanding how model capabilities emerge and evolve during RL training</li>\n<li>Lead strategic evaluation coverage across the company</li>\n<li>Shape the evaluation narrative for model releases</li>\n<li>Lead and mentor a small team of researchers and research engineers, setting research direction and fostering a culture of rigorous, creative research</li>\n<li>Design evaluation frameworks that balance scientific rigor with the practical demands of production training schedules</li>\n<li>Build and maintain relationships across Anthropic&#39;s research organisation to ensure evaluation insights inform training and deployment decisions</li>\n<li>Contribute to the broader research community through publications, open-source contributions, or external engagement on evaluation best practices</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have significant experience designing and running evaluations for large language models or similar complex ML systems</li>\n<li>Have led technical projects or teams, either formally or through sustained ownership of critical research directions</li>\n<li>Are equally comfortable designing experiments and writing code—you can move between research and implementation fluidly</li>\n<li>Think strategically about what to measure and why, not just how to measure it</li>\n<li>Can synthesise information across multiple teams and workstreams to form a coherent picture of model capabilities</li>\n<li>Communicate complex technical findings clearly to both technical and non-technical audiences</li>\n<li>Are results-oriented and thrive in fast-paced environments where priorities shift based on research findings</li>\n<li>Care deeply about AI safety and want your work to directly influence how capable AI systems are developed and deployed</li>\n</ul>\n<p><strong>Strong candidates may also have:</strong></p>\n<ul>\n<li>Experience building evaluations for long-horizon or agentic tasks</li>\n<li>Deep familiarity with Reinforcement Learning training dynamics and how model behaviour changes during training</li>\n<li>Published research in machine learning evaluation, benchmarking, or related areas</li>\n<li>Experience with safety evaluation frameworks and red teaming methodologies</li>\n<li>Background in psychometrics, experimental psychology, or other measurement-focused disciplines</li>\n<li>A track record of communicating evaluation results to inform high-stakes decisions about model development or deployment</li>\n<li>Experience managing or mentoring researchers and engineers</li>\n</ul>\n<p><strong>Representative projects:</strong></p>\n<ul>\n<li>Designing and implementing a suite of long-horizon evaluations that test model capabilities on tasks requiring sustained reasoning, planning, and tool use over extended interactions</li>\n<li>Building systems to track capability development across RL training checkpoints, surfacing insights about when and how specific capabilities emerge</li>\n<li>Conducting a cross-org audit of evaluation coverage, identifying blind spots, and prioritising new evaluations to fill critical gaps across Pretraining, RL, Inference, and Product</li>\n<li>Developing the evaluation methodology and narrative for a major model release, working with research leads and communications to clearly characterise model capabilities and limitations</li>\n<li>Researching and prototyping novel evaluation approaches for capabilities that are difficult to measure with existing benchmarks</li>\n<li>Leading a team effort to build reusable evaluation infrastructure that serves multiple teams across the research organisation</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> 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 repsectively.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c33b2d78-cc9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5139654008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$850,000 - $850,000USD","x-skills-required":["machine learning","evaluation methodologies","Reinforcement Learning","Pretraining","Inference","Product","Alignment","Safeguards"],"x-skills-preferred":["psychometrics","experimental psychology","safety evaluation frameworks","red teaming methodologies"],"datePosted":"2026-03-08T13:45:37.187Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, evaluation methodologies, Reinforcement Learning, Pretraining, Inference, Product, Alignment, Safeguards, psychometrics, experimental psychology, safety evaluation frameworks, red teaming methodologies","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":850000,"maxValue":850000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0b51f695-3f8"},"title":"Trust & Safety Operations Analyst","description":"<p><strong>Job Posting</strong></p>\n<p><strong>Trust &amp; Safety Operations Analyst</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$189K – $280K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong><strong>About the Team</strong></strong></p>\n<p>At OpenAI, our Trust, Safety &amp; Risk Operations teams safeguard our products, users, and the company from abuse, fraud, scams, regulatory non-compliance, and other emerging risks. We operate at the intersection of operations, compliance, user trust, and safety working closely with Legal, Policy, Engineering, Product, Go-To-Market, and external partners to ensure our platforms are safe, compliant, and trusted by a diverse, global user base.</p>\n<p>We support users across ChatGPT, our API, enterprise offerings, and developer tools handling sensitive inbound cases, building detection and enforcement systems, and scaling operational processes to meet the demands of a fast-moving, high-stakes environment.</p>\n<p><strong><strong>About the Role</strong></strong></p>\n<p>We are seeking experienced, senior-level analysts who specialize in one or more of the following areas:</p>\n<ul>\n<li><strong>Content Integrity &amp; Scaled Enforcement</strong> – Detecting, reviewing, and acting on policy violations, harmful content, and emerging abuse patterns at scale.</li>\n</ul>\n<ul>\n<li><strong>Emerging Risk Operations</strong> – Identifying, triaging, and mitigating new and complex safety, policy, or integrity challenges in a rapidly evolving AI landscape.</li>\n</ul>\n<p>In this role, you will own high-sensitivity workflows, act as an incident manager for complex cases, and build scalable operational systems; including tooling, automation, and vendor processes that reinforce user safety and trust while meeting our legal, ethical, and product obligations.</p>\n<p>We use a hybrid work model of 3 days in the San Francisco office per week and offer relocation assistance to new employees.</p>\n<p>Please note: This role may involve exposure to sensitive content, including material that is sexual, violent, or otherwise disturbing.</p>\n<p><strong>In This Role, You Will:</strong></p>\n<ul>\n<li>Handle and resolve high-priority cases in your area of specialization (scaled content enforcement, fraud/scams, privacy/regulatory, or emerging risks).</li>\n</ul>\n<ul>\n<li>Perform in-depth risk evaluations and investigations using internal tools, product signals, and third-party data.</li>\n</ul>\n<ul>\n<li>Act as incident manager for escalations requiring nuanced policy, legal, or regulatory interpretation.</li>\n</ul>\n<ul>\n<li>Partner with cross-functional teams to design and implement world-class operational workflows, decision trees, and automation strategies.</li>\n</ul>\n<ul>\n<li>Build feedback loops from casework to inform product, engineering, and policy improvements.</li>\n</ul>\n<ul>\n<li>Develop and maintain playbooks, SOPs, macros, and knowledge resources for internal teams and vendors.</li>\n</ul>\n<ul>\n<li>Lead or contribute to cross-functional projects, from zero-to-one process builds to global operational scale-ups.</li>\n</ul>\n<ul>\n<li>Monitor operational health through case quality audits, SLA adherence, escalation accuracy, and user satisfaction metrics.</li>\n</ul>\n<ul>\n<li>Train and support vendor teams, ensuring consistent quality and alignment with OpenAI’s trust and safety standards.</li>\n</ul>\n<p><strong>You Might Thrive in This Role If You:</strong></p>\n<ul>\n<li>Have 5+ years of experience in one or more of: trust &amp; safety, fraud prevention, scam investigation, privacy/legal operations, compliance, or other risk/integrity domains ideally in a global or high-growth tech environment.</li>\n</ul>\n<ul>\n<li>Leverage OpenAI technology to enhance workflows, improve decision-making, and scale operational impact.</li>\n</ul>\n<ul>\n<li>Bring deep domain expertise in your specialization area and familiarity with relevant legal, policy, and technical frameworks.</li>\n</ul>\n<ul>\n<li>Have a track record of scaling operations, building processes, and working cross-functionally to improve performance and safety outcomes.</li>\n</ul>\n<ul>\n<li>Possess exceptional analytical skills able to detect patterns, assess risk, and recommend policy or product changes based on evidence.</li>\n</ul>\n<ul>\n<li>Communicate with clarity, empathy, and precision especially in sensitive user-facing contexts.</li>\n</ul>\n<ul>\n<li>Thrive in ambiguous, high-autonomy environments and balance speed with diligence.</li>\n</ul>\n<p>Are comfortable with frequent context switching, managing multiple projects, and prioritizing impact.</p>\n<p><strong><strong>What We Offer</strong></strong></p>\n<ul>\n<li>Competitive salary and equity package</li>\n</ul>\n<ul>\n<li>Comprehensive benefits, including medical, dental, and vision insurance</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave and medical and caregiver leave</li>\n</ul>\n<ul>\n<li>Flexible PTO and paid company holidays</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend</li>\n</ul>\n<ul>\n<li>Daily meals in our offices and meal delivery credits</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends</li>\n</ul>\n<p><strong><strong>How to Apply</strong></strong></p>\n<p>If you are a motivated and experienced professional looking to join a dynamic team, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0b51f695-3f8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/eb54b316-26fb-498f-a68c-9990ff9c402c?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$189K – $280K","x-skills-required":["trust & safety","fraud prevention","scam investigation","privacy/legal operations","compliance","risk/integrity domains","OpenAI technology","workflow management","decision-making","operational impact","domain expertise","legal","policy","technical frameworks","analytical skills","pattern detection","risk assessment","policy/product changes","communication","clarity","empathy","precision","user-facing contexts","ambiguous environments","high-autonomy","speed","diligence","context switching","project management","prioritization"],"x-skills-preferred":["ChatGPT","API","enterprise offerings","developer tools","sensitive content","sexual","violent","disturbing","hybrid work model","relocation assistance","vendor management","quality control","alignment","OpenAI’s trust and safety standards"],"datePosted":"2026-03-06T18:34:54.778Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"trust & safety, fraud prevention, scam investigation, privacy/legal operations, compliance, risk/integrity domains, OpenAI technology, workflow management, decision-making, operational impact, domain expertise, legal, policy, technical frameworks, analytical skills, pattern detection, risk assessment, policy/product changes, communication, clarity, empathy, precision, user-facing contexts, ambiguous environments, high-autonomy, speed, diligence, context switching, project management, prioritization, ChatGPT, API, enterprise offerings, developer tools, sensitive content, sexual, violent, disturbing, hybrid work model, relocation assistance, vendor management, quality control, alignment, OpenAI’s trust and safety standards","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":189000,"maxValue":280000,"unitText":"YEAR"}}}]}