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Humans define what matters, train the agents, and review edge cases.</p>\n<p>What You Will Do</p>\n<p>Own the AI Development Loop</p>\n<p>Review and iterate on AI-generated code and feed that review back as training signal to make the agents better over time Architect the codebase for AI legibility: clean data models, strong documentation, deprecation of legacy patterns that cause agents to fail Build and maintain the automated product pipeline: signal detection, agent-generated requirements, AI-driven development, AI code review, commit When agents break in production, you own the diagnosis and fix</p>\n<p>Enable the Business, Not Just the Product</p>\n<p>Build tools and workflow infrastructure that let operations, sales, and customer success teams operate the platform themselves, without filing engineering tickets Translate what internal teams need into automated, reliable systems Help non-engineers understand what is possible and then make it happen</p>\n<p>Ship Full-Stack Product</p>\n<p>Build features across the frontend and backend: React/TypeScript on the front, Node.js or Elixir on the back, Postgres underneath Own the full lifecycle from requirements to production Debug issues across the entire stack</p>\n<p>Stay Close to What Is Live</p>\n<p>Actively observe the production environment: usage patterns, agent failures, edge cases, provider behavior This role requires a high degree of personal accountability for system health. When things are running well, that is because you have built the monitoring and alerting to catch problems early. 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Aladdinis the investment management platform that provides asset managers, asset owners and asset servicers sophisticated risk analytics with comprehensive portfolio management, trading and operations tools on a single platform to power informed decision-making, effective risk management, efficient trading and operational scale across both public and private markets.</p>\n<p>Aladdin is currently a $1bn technology business with a rapidly expanding landscape that has significant growth aspirations over the next five years. The Aladdin Platform team is responsible for engineering and operating the core service layer that powers Aladdin. We sit at the center of enabling the delivery of products and features in Aladdin for BlackRock and the largest financial institutions in the world. As the pace of growth of Aladdin accelerates, the Platform Team is laser focused on the speed of product delivery, execution predictability and quality. 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The success in this role hinges on your ability to actively listen, thoughtfully prioritize developer needs, and collaborate effectively with engineering partners to drive impactful solutions. As a trusted product expert, you will take ownership of the roadmap and deliver features related to a strategic effort to shape the future of developer environments for the organization.</p>\n<p>Key Responsibilities</p>\n<ul>\n<li>Gather, evaluate &amp; define detailed product requirements, use cases, user stories, and user journey maps necessary to deliver a feature to users.</li>\n</ul>\n<ul>\n<li>Partner with engineering leads to scope, refine, and deliver features. 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Summarizing decisions, next steps, and feedback on product readiness for stakeholders.</li>\n</ul>\n<ul>\n<li>Manage dependencies across teams to ensure alignment and mitigate risks.</li>\n</ul>\n<p>Required Skills &amp; Experience</p>\n<ul>\n<li>4+ years of product management experience, ideally in platform or developer tooling domains.</li>\n</ul>\n<ul>\n<li>Strong interpersonal skills with a proven ability to build trust and rapport with engineering teams.</li>\n</ul>\n<ul>\n<li>Excellent analytical and problem-solving skills with a user-first mindset.</li>\n</ul>\n<ul>\n<li>Exceptional written and verbal communication skills with the ability to present complex information clearly and concisely</li>\n</ul>\n<ul>\n<li>Experience working in multi-functional teams with low interdependency and high autonomy.</li>\n</ul>\n<ul>\n<li>Experience in agile product development and backlog management.</li>\n</ul>\n<ul>\n<li>Ability to synthesize technical feedback into clear product requirements.</li>\n</ul>\n<ul>\n<li>Strong working knowledge of agile methodology and help team in the sprint planning and daily stand ups.</li>\n</ul>\n<p>Preferred Qualifications</p>\n<ul>\n<li>Bachelor’s degree required; Computer Science or Engineering disciplines preferred.</li>\n</ul>\n<ul>\n<li>Familiarity with CI/CD, segmented environments, and developer productivity metrics.</li>\n</ul>\n<ul>\n<li>Hands on development experience would be greatly beneficial</li>\n</ul>\n<p>Our benefits</p>\n<p>To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.</p>\n<p>Our hybrid work model</p>\n<p>BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. 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Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.</p>\n<p>Title: Creator and Community Systems Lead</p>\n<p>Location: Singapore (hybrid)</p>\n<p>At EA, we believe games are powerful because they bring together multiple ways people engage: play, watch, create, and connect. And increasingly, the biggest entertainment platforms aren’t just places to consume content , they’re places where communities build.</p>\n<p>Creator-made content is already a proven part of EA’s history , from community creation tools in Battlefield to The Gallery in The Sims 4. We believe new creative technologies and tools will expand how players engage with and contribute to our experiences, supported by thoughtful product design, safety systems, and global reach. Our focus is on enabling more players to participate in creative expression by making creation easier, safer, and more rewarding.</p>\n<p>We’re looking for a Community &amp; Creator Systems Lead to architect and operate the systems that drive creator activation, progression, retention, and community participation at scale.</p>\n<p>Your mandate: build frameworks, programs, and feedback loops that turn creators into long-term ecosystem participants and communities into durable networks. You will define onboarding systems, progression pathways, incentive structures, and community engagement models that increase creation rate, collaboration, and repeat participation.</p>\n<p>You will partner across Product, Growth, Trust &amp; Safety, and Regional teams to ensure that creator and community systems are scalable, culturally adaptable, and aligned with platform integrity standards.</p>\n<p>Key Responsibilities:</p>\n<ol>\n<li>Creator System</li>\n</ol>\n<ul>\n<li>Own the end-to-end creator journey from selection to sustained contribution.</li>\n<li>Design activation flows from onboarding → first publish → first iteration.</li>\n<li>Build and evolve the Creator Platform framework (tiers, progression thresholds, visibility logic, governance rules).</li>\n<li>Define reward philosophy , reinforcing improvement and contribution, not just outcome.</li>\n<li>Reduce 30-day creator drop-off and increase second-publish rate.</li>\n<li>Partner with Product to prioritise tooling improvements based on creator friction patterns.</li>\n</ul>\n<ol>\n<li>Community System</li>\n</ol>\n<ul>\n<li>Design and operate the community layer that increases engagement and trust.</li>\n<li>Establish structured community infrastructure (Discord, rituals, office hours, feedback forums, creator councils).</li>\n<li>Define community norms, behaviour standards, and moderation pathways.</li>\n<li>Build repeatable feedback loops from community → Product → Growth.</li>\n<li>Track and act on community health indicators (engagement quality, sentiment, participation consistency).</li>\n</ul>\n<ol>\n<li>Cultural Momentum</li>\n</ol>\n<ul>\n<li>Ensure early cultural energy in our approach.</li>\n<li>Identify emerging creators through behavioural and qualitative signals.</li>\n<li>Design amplification mechanisms for culturally resonant experiences.</li>\n<li>Translate breakout moments into repeatable playbooks.</li>\n<li>Prevent artificial hype that distorts ecosystem signals.</li>\n</ul>\n<ol>\n<li>External Creator &amp; 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This role is ideal for someone who excels at technical troubleshooting, incident investigation, and customer communication in a B2B environment.</p>\n<p>As a key member of the support team, you will be responsible for handling escalated technical issues from our enterprise clients, reproducing complex problems, and collaborating with engineering, data, and product teams to ensure swift resolution.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Technical Support &amp; Incident Management: Handle escalated tickets from enterprise clients via Intercom, focusing on applications and use cases built by our Solutions team, and based on Mistral products (eg. 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This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.</p>\n<p><strong>About the role</strong></p>\n<p>This role is based in our NYC or SF office 3x a week. We offer relocation assistance to new employees.</p>\n<p>This role sits at the intersection of Product and GTM.</p>\n<p>We are seeking a GTM Product Enablement Manager who will own how OpenAI’s products are translated into field execution. This is not a traditional enablement role focused on trainings or content,this role is responsible for building the systems, workflows, and feedback loops that make rapidly evolving products understandable, sellable, and scalable across the GTM organization.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Contribute to the end-to-end product enablement system across onboarding, product launches, and continuous learning</li>\n</ul>\n<ul>\n<li>Translate complex technical products (APIs, AI systems, workflows) into clear GTM narratives, use cases, and playbooks</li>\n</ul>\n<ul>\n<li>Build scalable systems,not just content,that enable teams to keep pace with rapid product development</li>\n</ul>\n<ul>\n<li>Partner closely with Product and Engineering to understand new capabilities and ensure effective field readiness</li>\n</ul>\n<ul>\n<li>Establish feedback loops from GTM → Product to inform roadmap, positioning, and packaging decisions</li>\n</ul>\n<ul>\n<li>Define and track key metrics (ramp time, product adoption, deal velocity) to measure enablement effectiveness</li>\n</ul>\n<ul>\n<li>Identify gaps in GTM workflows and build solutions that improve how teams sell, position, and deploy products</li>\n</ul>\n<ul>\n<li>Leverage tools, automation, and AI to scale enablement efforts across the organization</li>\n</ul>\n<p><strong>You might thrive in this role if you have:</strong></p>\n<ul>\n<li>Experience building with AI and rolling out AI-driven learning experiences</li>\n</ul>\n<ul>\n<li>Experience building and scaling enablement programs, systems, or workflows in a fast-paced environment</li>\n</ul>\n<ul>\n<li>Strong product intuition and the ability to quickly understand technical products and translate them into business value</li>\n</ul>\n<ul>\n<li>Experience working cross-functionally with Product, Engineering, Sales, or Marketing teams</li>\n</ul>\n<ul>\n<li>Deep operational rigor, with experience defining KPIs and measuring impact</li>\n</ul>\n<ul>\n<li>A systems mindset,you think in scalable solutions, not one-off deliverables</li>\n</ul>\n<ul>\n<li>Strong communication skills, with the ability to simplify complex technical concepts for diverse audiences</li>\n</ul>\n<ul>\n<li>Comfort operating in ambiguity and driving clarity in fast-moving environments</li>\n</ul>\n<ul>\n<li>High ownership and the ability to move between strategy and execution seamlessly</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><strong>Equal Employment Opportunity</strong></p>\n<p>We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</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_a1baabb5-237","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/82b77bb5-a39d-4387-b253-defc9ebe77da","x-work-arrangement":"hybrid","x-experience-level":null,"x-job-type":"Full time","x-salary-range":"$177K – $196K • Offers Equity","x-skills-required":["AI","Machine Learning","Product Development","Enablement","GTM","Technical Products","APIs","AI Systems","Workflows","Scalable Systems","Feedback Loops","Metrics","GTM Workflows","Tools","Automation"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:21:01.733Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, Machine Learning, Product Development, Enablement, GTM, Technical Products, APIs, AI Systems, Workflows, Scalable Systems, Feedback Loops, Metrics, GTM Workflows, Tools, Automation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":177000,"maxValue":196000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9f803d6d-85d"},"title":"Learning Systems Data Engineer","description":"<p>Job Title: Learning Systems Data Engineer</p>\n<p>Estimated annual salary $239K – $325K • Offers Equity</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<p>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</p>\n<p>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</p>\n<p>401(k) retirement plan with employer match</p>\n<p>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)</p>\n<p>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</p>\n<p>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)</p>\n<p>Mental health and wellness support</p>\n<p>Employer-paid basic life and disability coverage</p>\n<p>Annual learning and development stipend to fuel your professional growth</p>\n<p>Daily meals in our offices, and meal delivery credits as eligible</p>\n<p>Relocation support for eligible employees</p>\n<p>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</p>\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>About the Team</strong> The Education team at OpenAI is building systems that help make ChatGPT a highly effective learning partner. As AI progress continues to accelerate, our goal is to design learning capabilities that help individuals, developers, educators, and organizations move from curiosity to mastery with the help of AI tools.</p>\n<p>This team works at the intersection of AI systems, learning science, and large-scale platforms to build the infrastructure for AI-native learning experiences globally.</p>\n<p><strong>About the Role</strong> OpenAI is seeking a <strong>Learning Systems Engineer</strong> to help build the infrastructure behind AI-native learning experiences. This role sits at the intersection of backend systems, learning science, research, and product.</p>\n<p>You will translate pedagogical goals into production systems: learner models, progress tracking, adaptive feedback loops, formative assessments, and analytics to measure whether people are actually learning.</p>\n<p>Your work will help ensure that millions of people around the world can learn effectively and build real capability with AI.</p>\n<p><strong>What You&#39;ll Work On</strong></p>\n<ul>\n<li><strong>Build AI-Native Learning Infrastructure:</strong> Develop core systems for AI education, including dynamic experiences, progress tracking, and assessments.</li>\n</ul>\n<ul>\n<li><strong>Enable Adaptive Learning:</strong> Develop capabilities that allow learning experiences to dynamically adapt to learners’ knowledge, goals, and behaviors over time.</li>\n</ul>\n<ul>\n<li><strong>Design Data Systems for Insights:</strong> Build data pipelines and analytics systems to help educators understand learner outcomes, engagement patterns, and skill development.</li>\n</ul>\n<ul>\n<li><strong>Empower Educators:</strong> Build systems that allow non-engineers to design, configure, and experiment with learning experiences without requiring direct engineering support.</li>\n</ul>\n<p><strong>What Success Looks Like in the First 12 Months</strong></p>\n<ul>\n<li>Help launch new AI learning experiences that reach a broad set of learners.</li>\n</ul>\n<ul>\n<li>Refine infrastructure that allows educators to deliver adaptive learning and assessments.</li>\n</ul>\n<ul>\n<li>Validate the learning analytics pipeline to provide deeper insights into AI driven learning.</li>\n</ul>\n<ul>\n<li>Empower education teams to use AI tools to build and iterate at scale.</li>\n</ul>\n<p><strong>Core Qualifications</strong></p>\n<ul>\n<li>5–10+ years of experience in software, data, or learning engineering.</li>\n</ul>\n<ul>\n<li>Experience building data systems or infrastructure that support education &amp; training.</li>\n</ul>\n<ul>\n<li>Experience working with learning data, analytics pipelines, or educational metrics.</li>\n</ul>\n<ul>\n<li>Comfort translating learning or pedagogical goals into technical systems.</li>\n</ul>\n<p><strong>Strong Additional Qualifications</strong></p>\n<ul>\n<li>Background in learning science, instructional design, or education research.</li>\n</ul>\n<ul>\n<li>Experience building LMS platforms or training infrastructure.</li>\n</ul>\n<ul>\n<li>Experience with learning analytics, learner data models, or educational measurement.</li>\n</ul>\n<ul>\n<li>Experience building systems that incorporate AI models into educational workflows.</li>\n</ul>\n<ul>\n<li>Experience with credentialing, certification systems, or competency frameworks.</li>\n</ul>\n<ul>\n<li>Experience building platforms used by non-technical educators or curriculum teams.</li>\n</ul>\n<p><strong>Relevant Backgrounds</strong></p>\n<ul>\n<li>Education technology engineering.</li>\n</ul>\n<ul>\n<li>Learning analytics or educational data systems.</li>\n</ul>\n<ul>\n<li>Instructional technology platforms.</li>\n</ul>\n<ul>\n<li>Training platforms for technical products.</li>\n</ul>\n<ul>\n<li>AI tutoring systems or adaptive learning platforms.</li>\n</ul>\n<p><strong>Why This Role Matters</strong> AI will fundamentally transform how people learn, work, and create. This role is essential for building the systems that ensure the benefits of AI are accessible to all, enabling learners worldwide to develop meaningful capability with this foundational technology.</p>\n<p><strong>About OpenAI</strong> 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>We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</p>\n<p>For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).</p>\n<p>Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.</p>\n<p>To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&amp;k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance.</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_9f803d6d-85d","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/9c55e073-886d-466a-86a3-435a291e19d2","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$239K – $325K","x-skills-required":["software engineering","data engineering","learning engineering","AI systems","learning science","large-scale platforms","learner models","progress tracking","adaptive feedback loops","formative assessments","analytics"],"x-skills-preferred":["LMS platforms","training infrastructure","learning analytics","learner data models","educational measurement","credentialing","certification systems","competency frameworks"],"datePosted":"2026-04-24T12:20:28.141Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City; London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, data engineering, learning engineering, AI systems, learning science, large-scale platforms, learner models, progress tracking, adaptive feedback loops, formative assessments, analytics, LMS platforms, training infrastructure, learning analytics, learner data models, educational measurement, credentialing, certification systems, competency frameworks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":239000,"maxValue":325000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_17320bff-7cb"},"title":"Head of Partner Growth, Embedded Payroll","description":"<p>About Gusto</p>\n<p>At Gusto, we&#39;re on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.</p>\n<p>With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.</p>\n<p>All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.</p>\n<p>AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.</p>\n<p><strong>The Opportunity</strong></p>\n<p>Gusto Embedded Payroll (GEP) is one of Gusto&#39;s highest-growth bets , a platform business that enables software companies to offer Gusto-powered payroll directly within their own products. We&#39;re looking for a Head of Partner Growth to lead the team responsible for making our embedded partners successful: driving go-to-market execution, growing partner revenue, and building the operational and strategic frameworks that will scale this business toward $100M+.</p>\n<p>This is a player-coach leadership role. You&#39;ll manage a cross-functional team spanning Partner Success Management (PSM) and Partner enablement, while also staying deeply hands-on with our most strategic partner relationships. You&#39;ll own the partner growth playbook end-to-end: from GTM planning and launch sequencing through ongoing optimization, escalation management, and executive relationship development.</p>\n<p>Gusto&#39;s partnerships organization focuses on evaluating and executing strategic partnerships in new categories. Gusto Embedded Payroll allows us to bring our people platform to thousands more businesses than those we serve directly and will play a key role in Gusto&#39;s growth.</p>\n<p><strong>What It&#39;s Like to Work in This Role</strong></p>\n<p><strong>Lead &amp; Develop</strong></p>\n<ul>\n<li>Build, lead, and develop a high-performing team of Partner Success Managers and Partner Enablement</li>\n<li>Set the operational rhythm for the partner growth function , including planning cadences, escalation workflows, and performance management</li>\n<li>Coach team members on partner strategy, executive communication, and cross-functional navigation</li>\n<li>Drive Enablement with the ideation, creation, and execution of enablement frameworks and materials.</li>\n<li>Drive AI fluency across the team , embedding AI tools and workflows into day-to-day partner operations, GTM planning, and internal knowledge management to accelerate output and decision quality</li>\n</ul>\n<p><strong>Strategize &amp; Plan</strong></p>\n<ul>\n<li>Own the partner growth strategy across the GEP portfolio, including partner segmentation, prioritization, and resource allocation</li>\n<li>Develop and maintain per-partner operating plans with clear success metrics, in collaboration with Product, Engineering, Marketing, and Sales Enablement</li>\n<li>Build repeatable GTM playbooks , covering co-marketing motions, sales enablement, content roadmaps, and launch sequencing , tailored to each partner&#39;s distribution model and ICP</li>\n<li>Translate portfolio-level data (revenue, attach rates, funnel performance) into strategic narratives for leadership</li>\n</ul>\n<p><strong>Operate &amp; Execute</strong></p>\n<ul>\n<li>Drive success for our partners and their end customers through adoption, activation, and retention of Gusto-powered embedded products</li>\n<li>Own the full marketing funnel and sales motion with partners , from top-of-funnel demand generation through conversion, onboarding, and expansion</li>\n<li>Manage complex, high-stakes partner relationships directly , including contract negotiations, executive escalations, and cross-functional alignment on roadmap priorities</li>\n<li>Lead partner incident response and escalation management with structured, cross-functional workflows</li>\n</ul>\n<p><strong>Build for Scale</strong></p>\n<ul>\n<li>Create and expand the feedback loop between partners, their end users, and Gusto&#39;s internal product, marketing, engineering, and operations teams</li>\n<li>Design frameworks, templates, and processes that enable the team to manage a growing partner portfolio without linear headcount growth</li>\n<li>Identify and implement AI-powered workflows and tools that improve team efficiency, partner reporting, and knowledge management</li>\n</ul>\n<p><strong>What We&#39;re Looking For</strong></p>\n<ul>\n<li>12-15 years of experience, with 8+ years in a people management role and 7+ years in partner-facing or channel-facing roles</li>\n<li>Partner-side perspective: Has operated on the partner or channel side of the table , understands how partners evaluate, prioritize, and activate embedded or referral relationships</li>\n<li>Farmer mentality: Wired to grow and deepen existing partner relationships through trust-building, strategic account planning, and proactive expansion , not just hunting new deals</li>\n<li>Methodical operator: Builds repeatable playbooks, escalation frameworks, and operational rhythms rather than relying on one-off heroics. Strong systems thinker</li>\n<li>GTM playbook experience: Hands-on experience building go-to-market plans from scratch , including co-marketing, keyword strategies, content roadmaps, and launch sequencing</li>\n<li>Full-funnel fluency: Understands the complete marketing and sales journey from demand gen through conversion, activation, and retention. Can diagnose where a partner motion is leaking value and prescribe the right intervention</li>\n<li>AI fluency: Actively uses AI tools (e.g., LLMs, automation platforms) to accelerate workflows, improve decision quality, and build team capability. Comfortable leading an AI adoption agenda within a team</li>\n<li>Executive communicator: Strong ghostwriter and strategic communicator who can represent the partnership function credibly with C-suite stakeholders , both internally and at partner organizations</li>\n<li>Strong sense of ownership and resilience: Thrives in ambiguity, takes initiative, and drives outcomes without waiting for permission</li>\n<li>Exceptional written and verbal communication: Can shift register fluently between partner-facing emails, internal Slack, leadership documents, and board-level narratives</li>\n</ul>\n<p><strong>Strong Nice-to-Haves</strong></p>\n<ul>\n<li>Experience with embedded or platform business models (APIs, developer tools, B2B2B)</li>\n<li>Knowledge of payroll, HR tech, or fintech software ecosystems</li>\n<li>Experience managing partner P&amp;Ls, cost-to-manage models, or portfolio-level financial analysis</li>\n<li>&quot;Gets&quot; the building-mode opportunity , has scaled a partner function from early stage, not just inherited a mature program</li>\n</ul>\n<p>Our cash compensation amount for this role is targeted at:</p>\n<p>$230,215 - $270,500 in San Francisco, CA; New York, NY $195,745 - $230,000 in Denver, CO; Phoenix, AZ; Atlanta, GA; Chicago, IL; Las Vegas, NV</p>\n<p>If you are outside of the geographic areas above, your application will not be considered at this time. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.</p>\n<p>Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto&#39;s subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.</p>\n<p>Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because</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_17320bff-7cb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Gusto","sameAs":"https://www.gusto.com/","logo":"https://logos.yubhub.co/gusto.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/gusto/jobs/7819484","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$230,215 - $270,500","x-skills-required":["partner growth","embedded payroll","partner success management","partner enablement","AI fluency","GTM planning","launch sequencing","escalation management","executive relationship development","cross-functional navigation","operational rhythm","performance management","repeatable playbooks","sales enablement","content roadmaps","co-marketing motions","demand generation","conversion","onboarding","expansion","partner incident response","structured workflows","feedback loop","frameworks","templates","processes","AI-powered workflows","team efficiency","partner reporting","knowledge management"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:17:07.108Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver, CO;San Francisco, CA;New York, NY;Las Vegas, NV;Atlanta, GA;Chicago, IL;Phoenix, AZ"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"partner growth, embedded payroll, partner success management, partner enablement, AI fluency, GTM planning, launch sequencing, escalation management, executive relationship development, cross-functional navigation, operational rhythm, performance management, repeatable playbooks, sales enablement, content roadmaps, co-marketing motions, demand generation, conversion, onboarding, expansion, partner incident response, structured workflows, feedback loop, frameworks, templates, processes, AI-powered workflows, team efficiency, partner reporting, knowledge management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230215,"maxValue":270500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0a0c638b-b06"},"title":"Member of Technical Staff - Technical Program Manager","description":"<p>Copilot is evolving into an agentic system that can plan, reason, and execute actions across tools, data, and services. Securing such a system cannot rely on static controls, offline review, or policy-only enforcement. It requires runtime defenses that adapt to intent, behavior, and context as the system operates.</p>\n<p>Copilot Security and Privacy is responsible for building these defenses directly into Copilot. Our work focuses on new security primitives for agentic AI, including runtime misuse detection, adaptive guardrails, containment and isolation mechanisms, and feedback-driven control systems informed by offensive security research.</p>\n<p>We are hiring a Principal Technical Program Manager (TPM) to own the end-to-end delivery of these capabilities. This is a deeply technical execution role for someone who can operate at the boundary of security engineering, AI research, and platform systems,turning ambiguous threat models into shippable, operable defenses deployed in a globally scaled AI product.</p>\n<p>This role is not about process, governance, or coordination. The TPM is accountable for making complex systems land in production, under real-world adversarial pressure. Most security roles protect systems after they exist. This role helps define how agentic AI systems defend themselves while they operate.</p>\n<p>You will shape how Copilot detects misuse, enforces boundaries, and recovers safely in real time,working directly on the mechanisms that make autonomy deployable at global scale. The impact is immediate, technical, and measurable in production behavior.</p>\n<p>If you want to operate where AI systems, security engineering, and execution reality intersect, this role offers that surface area,without turning you into a policy owner or process layer.</p>\n<p>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.</p>\n<p>Responsibilities:</p>\n<p>Own Delivery of In-Product AI Threat Defenses</p>\n<p>Lead execution of runtime threat defense capabilities embedded directly into Copilot execution paths, not layered on externally.</p>\n<p>Drive delivery of detection, prevention, and containment mechanisms that operate synchronously and adaptively as agents reason and act.</p>\n<p>Ensure defenses are designed as control systems with clear signals, enforcement points, and feedback loops.</p>\n<p>Translate Threat Models into Executable Systems</p>\n<p>Take emerging and ambiguous agentic AI threat models,including misuse, escalation, and information-flow risks,and convert them into concrete engineering plans.</p>\n<p>Partner with security engineers and researchers to translate offensive security insights and red-team findings into production features.</p>\n<p>Make judgment calls about enforcement boundaries, degradation strategies, and isolation guarantees.</p>\n<p>Drive Cross-Cutting Technical Execution</p>\n<p>Coordinate delivery across security engineering, AI research, platform/runtime teams, and Copilot product surfaces.</p>\n<p>Own dependency management, sequencing, and delivery risk for systems that are tightly coupled and cannot be built independently.</p>\n<p>Resolve technical and organizational tradeoffs where ownership boundaries are unclear and failure modes are novel.</p>\n<p>Ensure Operability at Runtime</p>\n<p>Define what “working” means for threat defenses: detection quality, false-positive tolerance, performance impact, and blast-radius containment.</p>\n<p>Ensure defenses are measurable, testable, and observable in production.</p>\n<p>Lead learning loops from live incidents, near-misses, and adversarial testing back into system design.</p>\n<p>Qualifications:</p>\n<p>Required Qualifications:</p>\n<p>Bachelor’s Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.</p>\n<p>3+ years of experience managing cross-functional and/or cross-team projects.</p>\n<p>Preferred Qualifications:</p>\n<p>Bachelor’s Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience.</p>\n<p>Proven ability to lead execution in high-ambiguity environments where requirements, threats, and system behavior evolve rapidly.</p>\n<p>Solid systems thinking: ability to reason about execution paths, failure modes, and adversarial behavior.</p>\n<p>Track record of making sound technical tradeoffs and shipping durable solutions without relying on heavy process.</p>\n<p>Background in security engineering, distributed systems, applied research, or ML systems prior to or alongside TPM work.</p>\n<p>Experience delivering runtime detection, abuse prevention, or adaptive enforcement systems.</p>\n<p>Familiarity with agentic AI systems, LLM-based products, or non-deterministic execution environments.</p>\n<p>Experience partnering closely with offensive security or red-team functions.</p>\n<p>Demonstrated ability to translate research, prototypes, or threat models into production-grade systems.</p>\n<p>Solid analytical skills, including working with telemetry, signals, and feedback loops.</p>\n<p>#MicrosoftAI #MAIDPS</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_0a0c638b-b06","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/member-of-technical-staff-technical-program-manager-4/","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$139,900 - 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Technical Program Manager","description":"<p>Copilot is evolving into an agentic system that can plan, reason, and execute actions across tools, data, and services. Securing such a system cannot rely on static controls, offline review, or policy-only enforcement. It requires runtime defenses that adapt to intent, behavior, and context as the system operates.</p>\n<p>Copilot Security and Privacy is responsible for building these defenses directly into Copilot. Our work focuses on new security primitives for agentic AI, including runtime misuse detection, adaptive guardrails, containment and isolation mechanisms, and feedback-driven control systems informed by offensive security research.</p>\n<p>We are hiring a Principal Technical Program Manager (TPM) to own the end-to-end delivery of these capabilities. This is a deeply technical execution role for someone who can operate at the boundary of security engineering, AI research, and platform systems,turning ambiguous threat models into shippable, operable defenses deployed in a globally scaled AI product.</p>\n<p>This role is not about process, governance, or coordination. The TPM is accountable for making complex systems land in production, under real-world adversarial pressure. Most security roles protect systems after they exist. This role helps define how agentic AI systems defend themselves while they operate.</p>\n<p>You will shape how Copilot detects misuse, enforces boundaries, and recovers safely in real time,working directly on the mechanisms that make autonomy deployable at global scale. The impact is immediate, technical, and measurable in production behavior.</p>\n<p>If you want to operate where AI systems, security engineering, and execution reality intersect, this role offers that surface area,without turning you into a policy owner or process layer.</p>\n<p>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.</p>\n<p>Responsibilities:</p>\n<p>Own Delivery of In-Product AI Threat Defenses</p>\n<p>Lead execution of runtime threat defense capabilities embedded directly into Copilot execution paths, not layered on externally.</p>\n<p>Drive delivery of detection, prevention, and containment mechanisms that operate synchronously and adaptively as agents reason and act.</p>\n<p>Ensure defenses are designed as control systems with clear signals, enforcement points, and feedback loops.</p>\n<p>Translate Threat Models into Executable Systems</p>\n<p>Take emerging and ambiguous agentic AI threat models,including misuse, escalation, and information-flow risks,and convert them into concrete engineering plans.</p>\n<p>Partner with security engineers and researchers to translate offensive security insights and red-team findings into production features.</p>\n<p>Make judgment calls about enforcement boundaries, degradation strategies, and isolation guarantees.</p>\n<p>Drive Cross-Cutting Technical Execution</p>\n<p>Coordinate delivery across security engineering, AI research, platform/runtime teams, and Copilot product surfaces.</p>\n<p>Own dependency management, sequencing, and delivery risk for systems that are tightly coupled and cannot be built independently.</p>\n<p>Resolve technical and organizational tradeoffs where ownership boundaries are unclear and failure modes are novel.</p>\n<p>Ensure Operability at Runtime</p>\n<p>Define what “working” means for threat defenses: detection quality, false-positive tolerance, performance impact, and blast-radius containment.</p>\n<p>Ensure defenses are measurable, testable, and observable in production.</p>\n<p>Lead learning loops from live incidents, near-misses, and adversarial testing back into system design.</p>\n<p>Qualifications:</p>\n<p>Required Qualifications:</p>\n<p>Bachelor’s Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.</p>\n<p>3+ years of experience managing cross-functional and/or cross-team projects.</p>\n<p>Preferred Qualifications:</p>\n<p>Bachelor’s Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience.</p>\n<p>Proven ability to lead execution in high-ambiguity environments where requirements, threats, and system behavior evolve rapidly.</p>\n<p>Solid systems thinking: ability to reason about execution paths, failure modes, and adversarial behavior.</p>\n<p>Track record of making sound technical tradeoffs and shipping durable solutions without relying on heavy process.</p>\n<p>Background in security engineering, distributed systems, applied research, or ML systems prior to or alongside TPM work.</p>\n<p>Experience delivering runtime detection, abuse prevention, or adaptive enforcement systems.</p>\n<p>Familiarity with agentic AI systems, 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Securing such a system cannot rely on static controls, offline review, or policy-only enforcement. It requires runtime defenses that adapt to intent, behavior, and context as the system operates.</p>\n<p>Copilot Security and Privacy is responsible for building these defenses directly into Copilot. Our work focuses on new security primitives for agentic AI, including runtime misuse detection, adaptive guardrails, containment and isolation mechanisms, and feedback-driven control systems informed by offensive security research.</p>\n<p>We are hiring a Principal Technical Program Manager (TPM) to own the end-to-end delivery of these capabilities. This is a deeply technical execution role for someone who can operate at the boundary of security engineering, AI research, and platform systems,turning ambiguous threat models into shippable, operable defenses deployed in a globally scaled AI product.</p>\n<p>This role is not about process, governance, or coordination. The TPM is accountable for making complex systems land in production, under real-world adversarial pressure. Most security roles protect systems after they exist. This role helps define how agentic AI systems defend themselves while they operate.</p>\n<p>You will shape how Copilot detects misuse, enforces boundaries, and recovers safely in real time,working directly on the mechanisms that make autonomy deployable at global scale. The impact is immediate, technical, and measurable in production behavior.</p>\n<p>If you want to operate where AI systems, security engineering, and execution reality intersect, this role offers that surface area,without turning you into a policy owner or process layer.</p>\n<p>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.</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_acd79b88-056","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/member-of-technical-staff-technical-program-manager-6/","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$139,900 - $274,800 per year","x-skills-required":["security engineering","distributed systems","applied research","ML systems","runtime detection","abuse prevention","adaptive enforcement systems","agentic AI systems","LLM-based products","non-deterministic execution environments"],"x-skills-preferred":["offensive security","red-team functions","research","prototypes","threat models","production-grade systems","telemetry","signals","feedback loops"],"datePosted":"2026-04-24T12:10:54.309Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"security engineering, distributed systems, applied research, ML systems, runtime detection, abuse prevention, adaptive enforcement systems, agentic AI systems, LLM-based products, non-deterministic execution environments, offensive security, red-team functions, research, prototypes, threat models, production-grade systems, telemetry, signals, feedback loops","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139900,"maxValue":274800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f98e55a8-e24"},"title":"Delivery Consultant","description":"<p>Join Airtable&#39;s Professional Services team as a Delivery Consultant and help enterprise customers unlock the full value of Airtable. 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You&#39;ll design scalable, reusable solution patterns and implementation playbooks, lead customer onboarding and accelerate time-to-value, advise customers on best practices, solution architecture, and workflow design, contribute to internal documentation and best practice libraries, partner with product teams to share customer insights and influence the roadmap, collaborate with Sales, Customer Success, and Partners to drive adoption and satisfaction, and track and improve key metrics such as CSAT, NPS, and customer adoption post-implementation.</p>\n<p>You&#39;ll work closely with cross-functional teams to identify and address customer needs, develop and implement solutions, and ensure successful project delivery. You&#39;ll also contribute to the development of Airtable&#39;s Professional Services team and help shape the future of the organisation.</p>\n<p>In return, you&#39;ll have access to a competitive salary, comprehensive benefits package, and opportunities for growth and development.</p>\n<p>The ideal candidate will have 5–8+ years of experience in consulting, professional services, or solution delivery roles, with a strong background in workflow design, process mapping, and system implementation. They&#39;ll be skilled in cross-functional stakeholder management in enterprise environments, excellent consulting and client-facing communication skills, and able to translate business requirements into scalable solutions.</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_f98e55a8-e24","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airtable","sameAs":"https://airtable.com","logo":"https://logos.yubhub.co/airtable.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airtable/jobs/8409166002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$132,000-$230,000 USD","x-skills-required":["enterprise SaaS platforms","workflow design","process mapping","system implementation","cross-functional stakeholder management","consulting and client-facing communication skills","database design","data modeling","project management"],"x-skills-preferred":["Airtable","Salesforce","ServiceNow","APIs","integrations","light scripting","industry-specific consulting experience","change management","training experience","product feedback loops"],"datePosted":"2026-04-24T11:56:32.671Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY; Remote - US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"enterprise SaaS platforms, workflow design, process mapping, system implementation, cross-functional stakeholder management, consulting and client-facing communication skills, database design, data modeling, project management, Airtable, Salesforce, ServiceNow, APIs, integrations, light scripting, industry-specific consulting experience, change management, training experience, product feedback loops","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":132000,"maxValue":230000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ee4a7c0a-eb7"},"title":"Senior Software Engineer, Builder Tools","description":"<p>Join our Builder Tools Team as a Senior Software Engineer. Our mission is to empower a company of builders by delivering a frictionless, standardized ecosystem of core engineering tools.</p>\n<p>As a Senior Software Engineer, you will build and maintain internal engineering tooling that improves builder flow and reduces friction across the company. You will provide guidance, best practices, and automation to support adoption of AI agentic coding tools.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Building and maintaining internal engineering tooling that improves builder flow and reduces friction across the company.</li>\n<li>Providing guidance, best practices, and automation to support adoption of AI agentic coding tools.</li>\n<li>Developing and operating internally facing agents.</li>\n<li>Implementing and improving developer workflows, including guardrails, evaluation approaches, and guidance that enables safe adoption of new tooling.</li>\n<li>Owning development and operation of our internal agent platform.</li>\n<li>Partnering with teams across Engineering, Product, Sales, and G&amp;A to understand where AI could accelerate their work or improve the quality of outcomes.</li>\n<li>Building measurement and feedback loops (usage, reliability, cost, and cycle time) to quantify impact and guide iteration.</li>\n<li>Owning documentation and enablement materials that help builders succeed using the paved roads.</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>Strong software engineering fundamentals and experience shipping and operating production-quality internal platforms or developer tooling.</li>\n<li>Experience leveraging modern agentic coding tools such as Codex and Claude Code.</li>\n<li>Proficiency in one or more programming languages commonly used at Temporal, such as Go, TypeScript/JavaScript, Python, or Java.</li>\n<li>Experience building workflow automation or internal tools (CLI tools, services, GitHub automation, cloud automation, or similar).</li>\n<li>Strong judgment about when to standardize versus when to enable flexibility, and how to remove friction without compromising reliability.</li>\n<li>Comfort working cross-functionally, including partnering with non-traditional developers and translating needs into usable solutions.</li>\n<li>Ability to use data and qualitative feedback together to prioritize and measure impact.</li>\n<li>Clear written communication, including documentation that enables self-service.</li>\n</ul>\n<p>Nice to haves include experience building internal agents and operating an agent platform, familiarity with developer productivity measurement frameworks such as SPACE and DORA metrics.</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_ee4a7c0a-eb7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Temporal","sameAs":"https://temporal.io/","logo":"https://logos.yubhub.co/temporal.io.png"},"x-apply-url":"https://job-boards.greenhouse.io/temporaltechnologies/jobs/5111582007","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$176,000 - $237,600","x-skills-required":["Software engineering fundamentals","AI agentic coding tools","Internal engineering tooling","Developer workflows","Measurement and feedback loops","Documentation and enablement materials"],"x-skills-preferred":["Experience building internal agents and operating an agent platform","Familiarity with developer productivity measurement frameworks such as SPACE and DORA metrics"],"datePosted":"2026-04-18T15:58:01.523Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States, Remote Opportunity"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software engineering fundamentals, AI agentic coding tools, Internal engineering tooling, Developer workflows, Measurement and feedback loops, Documentation and enablement materials, Experience building internal agents and operating an agent platform, Familiarity with developer productivity measurement frameworks such as SPACE and DORA metrics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":176000,"maxValue":237600,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dc3dea31-75f"},"title":"Head of AI-Native Talent Systems","description":"<p>About Gusto</p>\n<p>At Gusto, we&#39;re on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.</p>\n<p>With teams in Denver, San Francisco, and New York, we support more than 400,000 small businesses nationwide and are building a workplace that reflects the people we serve.</p>\n<p>All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.</p>\n<p>AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. 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The goal is simple but hard: make growth obvious, continuous, and hard to avoid.</p>\n<p>This is a role for someone who wants to build something durable, test it in the real world, and keep improving it. If it works, others will copy it. If it doesn’t, you’ll learn fast and fix it.</p>\n<p>About the Team:</p>\n<p>The Talent Development team sits within the Gustie Engagement Team, with a shared purpose: to help Gusties write the best chapters of their careers. We do this by designing the conditions that create clarity, connection, and commitment across the employee journey, not through programs, but through how work actually happens.</p>\n<p>Here’s what you’ll do day-to-day:</p>\n<ul>\n<li>Own the Gustie growth system at Gusto, from onboarding through executive leadership, with AI embedded at its core</li>\n</ul>\n<ul>\n<li>Redesign moments like feedback, performance reviews, and promotion decisions so AI actively helps people reflect, learn, and improve in real time</li>\n</ul>\n<ul>\n<li>Treat AI as a design partner in growth, deciding deliberately where it should lead, where it should support, and where humans stay firmly in charge</li>\n</ul>\n<ul>\n<li>Build development directly into the flow of work, with AI reducing friction, surfacing insights, and prompting better decisions</li>\n</ul>\n<ul>\n<li>Prototype, test, and ship AI-enabled changes that meaningfully improve how people grow here</li>\n</ul>\n<ul>\n<li>Define new AI-native standards for leadership development, coaching, and skill building</li>\n</ul>\n<ul>\n<li>Create feedback loops and signals, powered by AI, that make growth, readiness, and leadership effectiveness visible as the company evolves</li>\n</ul>\n<ul>\n<li>Continuously revisit what belongs in code, what belongs in judgment, and how the boundary should shift over time</li>\n</ul>\n<p>Here’s what we&#39;re looking for:</p>\n<ul>\n<li>You’ve built something that changed how people actually worked. It might have been called talent, product, systems, or something else entirely, but it moved behavior, not just decks.</li>\n</ul>\n<ul>\n<li>You believe the walls are hollow and you don’t assume systems are fixed just because they look finished. You get impatient with patchwork solutions and prefer fixing the system instead.</li>\n</ul>\n<ul>\n<li>You’re comfortable starting without a playbook and writing one as you go.</li>\n</ul>\n<ul>\n<li>You already use AI as part of how you think and work, not as a talking point or side project.</li>\n</ul>\n<ul>\n<li>You can hold a long-term point of view while shipping fast and putting real things into the world.</li>\n</ul>\n<ul>\n<li>You have strong opinions about what good looks like, and you’re willing to change them when reality disagrees.</li>\n</ul>\n<ul>\n<li>You care deeply about how people grow, especially when things are changing quickly or breaking in interesting ways.</li>\n</ul>\n<p>People who fit this role often have 10–12 years of relevant experience, but we care far more about what you’ve built than how your resume is labeled.</p>\n<p>What does success look like?</p>\n<p>A year into this role, growth at Gusto is no longer something people are asked to manage on top of their jobs. It is something the company’s systems quietly and consistently do. The everyday work of the company generates signal by default. Decisions, docs, code, customer interactions, feedback, and leadership moments all leave usable traces. Those signals are captured and interpreted as work happens, then reflected back in ways that help people see patterns, progress, and gaps without needing to reconstruct the past or advocate for themselves.</p>\n<p>Growth becomes legible. Learning is no longer organized around classes, curricula, or moments on a calendar. Instead, it exists as an always-on environment woven into how work gets done. People can quickly see examples of strong judgment, understand what “good” looks like in context, and explore how similar problems have been solved before.</p>\n<p>AI makes this possible at scale by synthesizing real examples, answering questions in the moment, connecting people to relevant expertise, and turning individual insight into shared capability.</p>\n<p>Over time, development feels less like an intervention and more like a natural byproduct of doing the work. People pull what they need when they need it. Leaders spend less time explaining expectations and more time reinforcing them.</p>\n<p>The system improves with use, because every interaction adds clarity rather than noise. Importantly, the system has a point of view. It creates gentle pressure in the right places and removes friction in the wrong ones. It makes certain behaviors easier, others harder, and does so through design rather than persuasion.</p>\n<p>Standards become clear not because they are stated repeatedly, but because the environment reinforces them.</p>\n<p>At that point, this work no longer resembles traditional Talent Development or Performance Management. It looks like core infrastructure for a company that expects to keep changing, and expects its people to keep pace not through heroics, but through design.</p>\n<p>Our cash compensation amount for this role is $150,000 /year to $180,000 /year in Denver &amp; most major metro locations, and $177,000/year to $210,000 /year for San Francisco &amp; New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.</p>\n<p>Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto&#39;s subsidiary, whose physical office is in Scottsdale.</p>\n<p>Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.</p>\n<p>Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it&#39;s the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.</p>\n<p>Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based</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_dc3dea31-75f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Gusto","sameAs":"https://www.gusto.com/","logo":"https://logos.yubhub.co/gusto.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/gusto/jobs/7553088","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$150,000 /year to $180,000 /year in Denver & most major metro locations, and $177,000/year to $210,000 /year for San Francisco & New York","x-skills-required":["AI","Talent Development","Performance Management","Leadership Development","Coaching","Skill Building","Feedback Loops","Signal Analysis","Machine Learning","Data Analysis"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:17.193Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver, CO;San Francisco, CA;New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"HR","industry":"Technology","skills":"AI, Talent Development, Performance Management, Leadership Development, Coaching, Skill Building, Feedback Loops, Signal Analysis, Machine Learning, Data Analysis","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":150000,"maxValue":210000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f674a3d6-1d8"},"title":"Product Operations Lead","description":"<p>The Product Operations Lead will join the analytical and strategic backbone of Fraud and Safety Investigations (FSI) at Airbnb. 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Success means surfacing root causes that change product priorities, driving decisions that stick, and ensuring operational readiness for every major launch.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Mining operational data to surface root causes, not just symptoms, and translating findings into business recommendations that shape product and policy priorities</li>\n<li>Owning the narrative for weekly business reviews (WBRs): explaining why metrics moved, surfacing root causes, and driving accountability for follow-through</li>\n<li>Partnering with Product and Engineering to influence roadmaps, representing operational realities in planning cycles, and holding teams accountable to ops readiness</li>\n<li>Monitoring queue health, SLA adherence, and decision accuracy; escalating systemic risks before they compound</li>\n<li>Detecting, triaging, and coordinating resolution of operational breakages (bugs, routing issues, workflow failures) across cross-functional stakeholders , then owning the RCA and ensuring fixes stick</li>\n<li>Distilling agent and frontline feedback into structured insights that close the loop between what&#39;s happening on the ground and what gets built</li>\n</ul>\n<p>The ideal candidate will have 5+ years of experience in product operations, trust &amp; safety, program management, or equivalent analytical operations role. They should be a natural root cause thinker who asks the right questions and doesn&#39;t settle for surface-level explanations. Experience building or managing feedback loops that translate frontline input into business change is also essential.</p>\n<p>send to be comfortable in ambiguity, calm under pressure, and clear in written and verbal communication with executive audiences.</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_f674a3d6-1d8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/","logo":"https://logos.yubhub.co/airbnb.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airbnb/jobs/7788387","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$106,000-$125,000 USD","x-skills-required":["SQL","Excel","Project management","Analytical toolkit","Root cause thinking","Feedback loop management"],"x-skills-preferred":["AI tools","Asana"],"datePosted":"2026-04-18T15:42:26.712Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"SQL, Excel, Project management, Analytical toolkit, Root cause thinking, Feedback loop management, AI tools, Asana","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":106000,"maxValue":125000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_639e80e2-93c"},"title":"Consumer Credit Lead - Cards","description":"<p>We&#39;re looking for a senior credit risk leader to help build and scale the underwriting strategy for our new consumer charge card. You&#39;ll take an initial strategic direction and turn it into a scalable, data-driven underwriting program, then monitor, refine, and evolve that strategy post-launch.</p>\n<p>As the portfolio grows, this role is expected to evolve into team leadership. You&#39;ll play a key role in shaping how risk decisions translate into customer experience, product growth, and long-term portfolio performance.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li><p>Building and operationalizing the credit strategy</p>\n</li>\n<li><p>Translating underwriting vision into formal credit policy and decision frameworks</p>\n</li>\n<li><p>Defining approval logic, segmentation strategy, and limit-setting methodology</p>\n</li>\n<li><p>Establishing portfolio guardrails aligned to loss targets and unit economics</p>\n</li>\n<li><p>Designing account management strategies across the customer lifecycle</p>\n</li>\n<li><p>Developing early portfolio management approaches including exposure adjustments, servicing strategies, and input into collections processes as the portfolio matures</p>\n</li>\n<li><p>Defining portfolio monitoring frameworks and escalation triggers for emerging credit risk trends</p>\n</li>\n<li><p>Building the data-driven risk engine</p>\n</li>\n<li><p>Implementing credit policy in our underwriting platform</p>\n</li>\n<li><p>Evaluating and integrating key data sources (bureau, income, debt signals)</p>\n</li>\n<li><p>Ensuring decision logic is structured, testable, and scalable</p>\n</li>\n<li><p>Partnering with Engineering and Data to build monitoring and feedback loops</p>\n</li>\n<li><p>Owning portfolio performance post-launch</p>\n</li>\n<li><p>Defining and tracking core KPIs (approval rate, early delinquency, loss rate, exposure, utilization, etc.)</p>\n</li>\n<li><p>Monitoring vintage performance and segment behavior</p>\n</li>\n<li><p>Recommending and implementing strategy adjustments based on observed risk trends</p>\n</li>\n<li><p>Presenting risk performance, insights, and recommendations to senior leadership</p>\n</li>\n<li><p>Driving data-informed risk and growth decisions</p>\n</li>\n<li><p>Using SQL to independently evaluate underwriting decisions and trade-offs</p>\n</li>\n<li><p>Analyzing drivers of credit performance and portfolio outcomes</p>\n</li>\n<li><p>Partnering with Finance on forecasting and risk-adjusted economics</p>\n</li>\n<li><p>Driving cross-functional execution</p>\n</li>\n<li><p>Partnering with Compliance to ensure the underwriting program is well-documented and built to scale</p>\n</li>\n<li><p>Working with Partnerships, Procurement, and Legal on evaluating and onboarding credit data providers</p>\n</li>\n<li><p>Supporting broader risk initiatives across our business charge card portfolio during the build phase</p>\n</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>6+ years of experience in consumer credit risk</li>\n<li>Experience launching or materially redesigning a consumer lending product</li>\n<li>Experience implementing credit policy within a decisioning or underwriting platform is strongly preferred</li>\n<li>Demonstrated experience owning risk strategy and monitoring portfolio performance</li>\n<li>Deep familiarity with bureau data and core credit risk metrics (approval rate, loss rate, vintage curves, etc.)</li>\n<li>Experience presenting risk insights and strategy recommendations to senior stakeholders</li>\n<li>Experience translating policy into production decision logic</li>\n<li>Strong SQL skills and comfort working directly with data</li>\n<li>Comfortable building in ambiguity and operating in a 0→1 environment</li>\n</ul>\n<p>Total rewards package includes base salary, equity, and benefits. Salary and equity ranges are highly competitive within the SaaS and fintech industry.</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_639e80e2-93c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mercury","sameAs":"https://www.mercury.com/","logo":"https://logos.yubhub.co/mercury.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/mercury/jobs/5838487004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$187,000 - $233,800","x-skills-required":["consumer credit risk","credit policy","decision frameworks","approval logic","segmentation strategy","limit-setting methodology","portfolio guardrails","loss targets","unit economics","account management","customer lifecycle","exposure adjustments","servicing strategies","collections processes","portfolio monitoring","escalation triggers","emerging credit risk trends","data-driven risk engine","underwriting platform","key data sources","bureau data","income data","debt signals","decision logic","structured queries","testable logic","scalable logic","monitoring and feedback loops","SQL","credit performance","portfolio outcomes","forecasting","risk-adjusted economics","cross-functional execution","compliance","partnerships","procurement","legal","broader risk initiatives"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:47:05.306Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Fintech","skills":"consumer credit risk, credit policy, decision frameworks, approval logic, segmentation strategy, limit-setting methodology, portfolio guardrails, loss targets, unit economics, account management, customer lifecycle, exposure adjustments, servicing strategies, collections processes, portfolio monitoring, escalation triggers, emerging credit risk trends, data-driven risk engine, underwriting platform, key data sources, bureau data, income data, debt signals, decision logic, structured queries, testable logic, scalable logic, monitoring and feedback loops, SQL, credit performance, portfolio outcomes, forecasting, risk-adjusted economics, cross-functional execution, compliance, partnerships, procurement, legal, broader risk initiatives","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":187000,"maxValue":233800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a55040a8-54b"},"title":"Enterprise Account Executive, Industries","description":"<p>As an Enterprise Account Executive at Anthropic&#39;s Industries team, you&#39;ll drive the adoption of safe, frontier AI by securing strategic deals with top enterprises, unlocking new value streams throughout their business.</p>\n<p>You will be contributing to the GTM strategy for our Industries team, focusing on sector-specific solutions and strategies within key verticals. The Industries team operates as a specialized set of teams focused on sector-specific solutions and strategies. This structure enables us to develop deeper domain expertise and a more prescriptive sales approach focused on the buyer and adoption journey for customers.</p>\n<p>This is a highly consultative sales role as you will be cross-selling with our existing team of Account Executives, determining pricing strategy, and influencing the product roadmap based upon customer feedback. You will help define our solution-led selling approach, positioning us as strategic advisors, and provide a continuous feedback loop for internal teams to iterate on.</p>\n<p>Responsibilities:</p>\n<ul>\n<li><p>Contribute to the Industries team GTM strategy, identifying new use cases within your assigned verticals, winning new business, and sharing feedback with cross-functional teams</p>\n</li>\n<li><p>Drive strategic expansion within key accounts in established verticals and new logo acquisition within emerging verticals</p>\n</li>\n<li><p>Break into new accounts and cross-sell into existing business alongside our team of Account Executives</p>\n</li>\n<li><p>Own a revenue target and all aspects of the sales cycle from prospecting to close, including outbounding and engaging Tier 1 accounts</p>\n</li>\n<li><p>Lead with conviction by providing clear recommendations based on deep industry expertise rather than presenting a menu of options</p>\n</li>\n<li><p>Prioritize organizations that can serve as lighthouse customers and references within their industries</p>\n</li>\n<li><p>Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions. Co-innovate with customers and sell on the product roadmap while appropriately setting expectations</p>\n</li>\n<li><p>Collaborate extensively with cross-functional partners including product, engineering, legal, marketing, and Applied AI to help bring new solutions to market and provide feedback to shape roadmaps</p>\n</li>\n<li><p>Develop sales collateral, proposals, and presentations to effectively position Anthropic&#39;s AI products. Continuously refine sales tactics and share best practices</p>\n</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li><p>5+ years of enterprise B2B sales experience in technology, preferably in SaaS, API solutions, or emerging technologies</p>\n</li>\n<li><p>A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions</p>\n</li>\n<li><p>Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups</p>\n</li>\n<li><p>Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders</p>\n</li>\n<li><p>Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process</p>\n</li>\n<li><p>Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives</p>\n</li>\n<li><p>A knack for bringing order to chaos and an enthusiastic “roll up your sleeves&#39;&#39; mentality. You are a true team player</p>\n</li>\n<li><p>A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities</p>\n</li>\n<li><p>A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely</p>\n</li>\n</ul>\n<p>Annual Salary:</p>\n<p>$290,000 - $360,000USD</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_a55040a8-54b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/jobs","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4493035008","x-work-arrangement":"hybrid","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$290,000 - $360,000USD","x-skills-required":["enterprise B2B sales experience","SaaS","API solutions","emerging technologies","complex sales cycles","strategic deals","multifaceted technical requirements","tailored solutions","dynamic stakeholder ecosystems","consensus building","innovative solutions","complex commercial agreements","revenue targets","pipeline management","sales process","communication skills","presentation skills","customer connections","strategic approach","analytical approach","creative execution","advanced AI systems"],"x-skills-preferred":["deep industry expertise","solution-led selling approach","strategic advisors","continuous feedback loop","product roadmap","sales collateral","proposals","presentations","sales tactics","best practices"],"datePosted":"2026-03-08T13:56:07.809Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"enterprise B2B sales experience, SaaS, API solutions, emerging technologies, complex sales cycles, strategic deals, multifaceted technical requirements, tailored solutions, dynamic stakeholder ecosystems, consensus building, innovative solutions, complex commercial agreements, revenue targets, pipeline management, sales process, communication skills, presentation skills, customer connections, strategic approach, analytical approach, creative execution, advanced AI systems, deep industry expertise, solution-led selling approach, strategic advisors, continuous feedback loop, product roadmap, sales collateral, proposals, presentations, sales tactics, best practices","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":290000,"maxValue":360000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8ae6102f-700"},"title":"GRC Automation Engineering Lead","description":"<p><strong>About the Role</strong></p>\n<p>We are seeking a GRC Automation Lead to join our GRC organisation and build the technical foundation for how we scale our risk and compliance programs. In this role, you will lead the team that designs and implements automated workflows, data pipelines, and integrations that transform manual compliance processes into scalable engineering systems.</p>\n<p>This is a greenfield opportunity to establish the team, architecture, and integrations that will define how we approach governance, risk, and compliance at Anthropic. The core challenge is a data problem: compliance information lives across dozens of systems—cloud infrastructure, identity providers, HR platforms, ticketing tools, code repositories—and your job is to design systems that bring it together, normalise it, and make it actionable.</p>\n<p>At Anthropic, you&#39;ll also have a unique advantage: the ability to design AI-powered workflows where Claude acts as an extension of your team, handling tasks that would traditionally require additional headcount or manual effort. You&#39;ll need ingenuity to identify where agentic AI can accelerate evidence collection, interpret unstructured data, triage compliance gaps, and augment human judgment in risk assessments.</p>\n<p>Working closely with Security, IT, and Engineering teams, you&#39;ll translate compliance and regulatory requirements into solutions that support audit programs including SOC 2, ISO, HIPAA, and FedRAMP, building systems that combine traditional automation with AI capabilities to achieve scale that wouldn&#39;t otherwise be possible.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Lead the team that establishes foundational GRC processes and architecture. Design and build automated workflows for risk management and compliance, creating scalable systems that enable continuous monitoring as Anthropic grows.</li>\n</ul>\n<ul>\n<li>Build data pipelines that aggregate risk, control, and asset information from across our technology stack. This means solving hard data integration problems: mapping disparate schemas, handling inconsistent data quality, and creating unified views of compliance posture through dashboards and reporting tools.</li>\n</ul>\n<ul>\n<li>Inform GRC platform strategy and implementation: in partnership with other programs, evaluate, select, and deploy tooling that meets our compliance requirements.</li>\n</ul>\n<ul>\n<li>Translate written policies and compliance requirements into policy-as-code—working with Engineering and Security teams to express requirements as enforceable rules, automated checks, and continuous validation rather than static documents.</li>\n</ul>\n<ul>\n<li>Establish feedback loops between policy and implementation: surface where technical controls diverge from written requirements, identify where policies need to evolve based on infrastructure realities, and ensure that compliance requirements are expressed in terms engineers can act on.</li>\n</ul>\n<ul>\n<li>Design and deploy agentic AI workflows that extend team capacity, using Claude to automate evidence analysis, monitor control effectiveness, draft audit responses, interpret policy documents, and handle other tasks that require reasoning over unstructured information.</li>\n</ul>\n<ul>\n<li>Design and maintain integrations connecting GRC tooling with cloud infrastructure, identity management systems, HRIS platforms, ticketing systems, version control, and CI/CD pipelines—working with engineers to implement integrations that enable automated evidence collection and continuous compliance validation.</li>\n</ul>\n<ul>\n<li>Build and lead the GRC Automation function as we scale: hiring team members, establishing practices, and defining the technical roadmap for governance and compliance automation at Anthropic.</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have 3-4+ years of experience managing technical individual contributors or systems-focused teams, with a proven track record of building or scaling small teams (2-5 people) in security, compliance, automation, or operations functions.</li>\n</ul>\n<ul>\n<li>Are a systems thinker first. You understand how complex environments work: how data flows between systems, where integration points exist, what breaks when systems don&#39;t talk to each other. Your strength is designing the right architecture and environment for security monitoring, not necessarily implementing it yourself.</li>\n</ul>\n<ul>\n<li>Have 5+ years of experience designing automated workflows, data pipelines, or system integrations, whether through traditional development, low-code platforms, GRC tools, or process automation. We care about your ability to solve integration problems, not your programming language proficiency.</li>\n</ul>\n<ul>\n<li>Proficiency to write production level code in at least one programming language (e.g., Python, Rust, Go)</li>\n</ul>\n<ul>\n<li>Have a relentless focus on data integration: you understand how to pull data from multiple sources, normalise it, join it meaningfully, and surface insights. 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Compliance Reporting, Risk Reporting, Audit Reporting, Compliance Dashboarding, Risk Dashboarding, Audit Dashboarding"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_684d1cb4-32c"},"title":"Operations Analyst, User Operations (Trust & Safety) - EMEA","description":"<p><strong>Operations Analyst, User Operations (Trust &amp; Safety) - EMEA</strong></p>\n<p><strong>About the Team</strong></p>\n<p>At OpenAI, our <strong>User Operations</strong> team safeguards our products and users from abuse, fraud, and safety risks. We serve as part of the company’s frontline safety infrastructure—helping ensure real-world user experiences translate into timely, high-integrity decisions and durable improvements. We operate at the intersection of operations, user trust, and risk management, collaborating cross-functionally with partners across Legal, Policy, Engineering, and Product, as well as external vendors.</p>\n<p><strong>About the Role</strong></p>\n<p>We are seeking a sharp, adaptive, and technically capable Operations Analyst to help scale and evolve our user safety and risk operations—focused on complex, time-critical issues where the right decision can materially change outcomes for users and the business.</p>\n<p>In this role, you’ll sit on the frontline of user safety: detecting and assessing high-impact risks that surface in real-world product usage and driving them to resolution alongside teams across the company. You’ll turn messy, ambiguous signals into clear actions—improving how we respond in the moment while also strengthening the systems (processes, documentation, and automation) that make consistent, high-quality decisions possible at scale. This is a high-autonomy role with visible impact: you’ll own workstreams end-to-end and measure success through faster response, higher quality outcomes, and reduced risk.</p>\n<p>Location / work model: London (hybrid, 3 days/week in-office).</p>\n<p>_<strong>Please note:</strong> This role may involve exposure to sensitive or concerning content. Strong discretion, good judgment, and resilience are essential._</p>\n<p><strong>In This Role, You Will</strong></p>\n<ul>\n<li>Triage and resolve complex, high-sensitivity user issues and escalations, including trust &amp; safety incidents and other time-critical risk reviews.</li>\n</ul>\n<ul>\n<li>Conduct risk evaluations and investigations using internal tooling, operational documentation, and appropriate external sources when relevant.</li>\n</ul>\n<ul>\n<li>Serve as an incident manager for sensitive reviews requiring nuanced interpretation, clear decision-making, and strong cross-functional coordination.</li>\n</ul>\n<ul>\n<li>Partner with stakeholders across Legal, Policy, Product, Engineering, and Support to drive fast, defensible outcomes—and ensure lessons learned translate into improvements to user experience, policy interpretation, and safety operations.</li>\n</ul>\n<ul>\n<li>Design and improve operational workflows (intake, triage, escalation pathways, QA, training, and governance) with a strong focus on consistency, scalability, and auditability.</li>\n</ul>\n<ul>\n<li>Build and maintain playbooks, decision trees, knowledge articles, and macros, and continuously refine them based on new learnings.</li>\n</ul>\n<ul>\n<li>Take an automation-first approach: identify repetitive work, redesign the workflow, and prototype automation using AI tools, no-code platforms, or lightweight scripting (in partnership with technical counterparts as needed).</li>\n</ul>\n<ul>\n<li>Monitor operational health through quality audits, SLA tracking, escalation accuracy, and trend analysis, and propose interventions grounded in clear metrics.</li>\n</ul>\n<ul>\n<li>Contribute to vendor enablement and governance, including training, calibration, and process improvements—especially during transitions or ramp periods.</li>\n</ul>\n<p><strong>You Might Thrive in This Role If You</strong></p>\n<ul>\n<li>Have <strong>5+ years</strong> of experience in trust &amp; safety, risk operations, investigations, incident response, or comparable high-judgment operational work in a fast-moving environment.</li>\n</ul>\n<ul>\n<li>Are highly technical for an ops role: strong analytical skills (e.g., SQL), comfortable working with data tooling/dashboards, and able to translate insights into operational changes.</li>\n</ul>\n<ul>\n<li>Can operationalize ambiguous risk signals into structured inputs for classifier/detection development—including taxonomy design, labeling guidance and quality standards, and feedback loops that improve performance over time (in collaboration with technical stakeholders).</li>\n</ul>\n<ul>\n<li>Operate with high standards and high conviction: you can form clear, defensible points of view, communicate them crisply, and drive decisions to closure.</li>\n</ul>\n<ul>\n<li>Default to systems thinking: you routinely turn one-off fixes into repeatable processes, and you measure impact (time saved, accuracy improved, risk reduced).</li>\n</ul>\n<ul>\n<li>Are AI-fluent and know how to apply model/agent tooling in real workflows—while maintaining strong QA discipline and appropriate safeguards.</li>\n</ul>\n<ul>\n<li>Communicate clearly and effectively—especially in writing—when dealing with sensitive topics and complex tradeoffs.</li>\n</ul>\n<ul>\n<li>Thrive in ambiguity, manage multiple priorities simultaneously, and stay effective as context changes.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience building QA programs, calibrations, sampling plans, or standardized review practices for sensitive workflows.</li>\n</ul>\n<ul>\n<li>Experience working with scaled vendor operations and governance models.</li>\n</ul>\n<ul>\n<li>Familiarity with building lightweight automation (scripts, no-code tools, workflow automation) in operational contexts.</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_684d1cb4-32c","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/986732f2-56a0-44ca-9030-a7cdeccf9454","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","data tooling/dashboards","AI tools","no-code platforms","lightweight scripting"],"x-skills-preferred":["taxonomy design","labeling guidance and quality standards","feedback loops","vendor enablement and governance","training and calibration"],"datePosted":"2026-03-06T18:32:08.483Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, data tooling/dashboards, AI tools, no-code platforms, lightweight scripting, taxonomy design, labeling guidance and quality standards, feedback loops, vendor enablement and governance, training and calibration"}]}