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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fe04c8cc-782"},"title":"Forward Deployed Engineering Manager","description":"<p>Shape the Future of AI</p>\n<p>At Labelbox, we&#39;re building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we&#39;ve been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.</p>\n<p>We&#39;re the only company offering three integrated solutions for frontier AI development:</p>\n<p>Enterprise Platform &amp; Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale</p>\n<p>Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models</p>\n<p>Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling</p>\n<p>Why Join Us</p>\n<p>High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You&#39;ll take on expanded responsibilities quickly, with career growth directly tied to your contributions.</p>\n<p>Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.</p>\n<p>Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.</p>\n<p>Continuous Growth: Every role requires continuous learning and evolution. You&#39;ll be surrounded by curious minds solving complex problems at the frontier of AI.</p>\n<p>Clear Ownership: You&#39;ll know exactly what you&#39;re responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.</p>\n<p>The role</p>\n<p>We’re hiring a Forward Deployed Engineering Manager to lead the design, development, and delivery of reinforcement learning environments for agentic AI systems.</p>\n<p>You’ll manage a team responsible for building sandboxed, reproducible environments,terminal-based workflows, browser automation, and computer-use simulations,that power both model training and human-in-the-loop evaluation. This is a hands-on leadership role where you’ll set technical direction, guide execution, and stay close to architecture and critical systems.</p>\n<p>What You’ll Do</p>\n<p>Lead, hire, and develop a high-performing team of Forward Deployed Engineers, setting a high bar for ownership, velocity, and technical quality</p>\n<p>Own the RL environment roadmap, aligning team execution with customer needs and evolving model capabilities</p>\n<p>Oversee development of sandboxed environments (terminal, browser, tool-augmented workspaces) that support deterministic execution and multi-step agent interaction</p>\n<p>Ensure reliability, observability, and data integrity through strong instrumentation (logging, trajectory capture, state snapshotting)</p>\n<p>Drive infrastructure excellence across containerization, sandboxing, CI/CD, automated testing, and monitoring</p>\n<p>Partner cross-functionally with data operations, product, and leading AI labs to define task design, evaluation protocols, and environment requirements</p>\n<p>Enable rapid prototyping and iteration, helping the team move from ambiguous requirements to production-ready systems quickly</p>\n<p>Stay close to the technical details,reviewing architecture, unblocking complex issues, and guiding design decisions</p>\n<p>What We’re Looking For</p>\n<p>5+ years of software engineering experience (Python)</p>\n<p>2+ years of experience managing or leading engineers in fast-paced environments</p>\n<p>Strong experience with containerization and sandboxing (Docker, Firecracker, or similar)</p>\n<p>Solid understanding of reinforcement learning fundamentals (MDPs, reward design, episode structure, observation/action spaces)</p>\n<p>Background in infrastructure, developer tooling, or distributed systems</p>\n<p>Strong debugging skills and systems thinking across layered, containerized environments</p>\n<p>Ability to operate in ambiguity and translate loosely defined problems into clear execution plans</p>\n<p>Excellent communication and stakeholder management skills</p>\n<p>Preferred</p>\n<p>Experience building or working with RL environments (Gym, PettingZoo) or agent benchmarks (SWE-bench, WebArena, OSWorld, TerminalBench)</p>\n<p>Familiarity with cloud infrastructure (GCP or AWS)</p>\n<p>Prior experience in AI/ML platforms, data companies, or research environments</p>\n<p>Contributions to open-source projects in RL, agents, or developer tooling</p>\n<p>Why This Role Matters</p>\n<p>RL environment quality is a critical bottleneck in advancing agentic AI. Poorly designed or unreliable environments introduce noise into training loops and directly impact model performance.</p>\n<p>In this role, you’ll lead the team building the environments that define how models learn,working across a range of cutting-edge projects with leading AI labs. Alignerr offers the speed and ownership of a startup with the scale and resources of Labelbox, giving you the opportunity to have outsized impact on the future of AI.</p>\n<p>About Alignerr</p>\n<p>Alignerr is Labelbox’s human data organization, powering next-generation AI through high-quality training data, reinforcement learning environments, and evaluation systems. We partner directly with leading AI labs to build the data and infrastructure that push model capabilities forward.</p>\n<p>Life at Labelbox</p>\n<p>Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland</p>\n<p>Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility</p>\n<p>Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making</p>\n<p>Growth: Career advancement opportunities directly tied to your impact</p>\n<p>Vision: Be part of building the foundation for humanity&#39;s most transformative technology</p>\n<p>Our Vision</p>\n<p>We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.</p>\n<p>Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.</p>\n<p>Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.</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_fe04c8cc-782","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Labelbox","sameAs":"https://www.labelbox.com/","logo":"https://logos.yubhub.co/labelbox.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/labelbox/jobs/5101195007","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,000-$220,000 USD","x-skills-required":["Software engineering experience (Python)","Containerization and sandboxing (Docker, Firecracker, or similar)","Reinforcement learning fundamentals (MDPs, reward design, episode structure, observation/action spaces)","Infrastructure, developer tooling, or distributed systems","Debugging skills and systems thinking"],"x-skills-preferred":["Experience building or working with RL environments (Gym, PettingZoo) or agent benchmarks (SWE-bench, WebArena, OSWorld, TerminalBench)","Familiarity with cloud infrastructure (GCP or AWS)","Prior experience in AI/ML platforms, data companies, or research environments","Contributions to open-source projects in RL, agents, or developer tooling"],"datePosted":"2026-04-18T15:56:05.491Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco Bay Area"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software engineering experience (Python), Containerization and sandboxing (Docker, Firecracker, or similar), Reinforcement learning fundamentals (MDPs, reward design, episode structure, observation/action spaces), Infrastructure, developer tooling, or distributed systems, Debugging skills and systems thinking, Experience building or working with RL environments (Gym, PettingZoo) or agent benchmarks (SWE-bench, WebArena, OSWorld, TerminalBench), Familiarity with cloud infrastructure (GCP or AWS), Prior experience in AI/ML platforms, data companies, or research environments, Contributions to open-source projects in RL, agents, or developer tooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5409d86b-253"},"title":"Forward Deployed Engineering Manager","description":"<p>Join us on this thrilling journey to revolutionize the workforce with AI.</p>\n<p>The future of work is here, and it&#39;s at Cresta.</p>\n<p><strong>About the role:</strong></p>\n<p>At Cresta, shipping AI is only half the story. Deploying it successfully is where the real impact happens.</p>\n<p>As Forward Deployed Engineering Manager, you&#39;ll lead the team that turns cutting-edge AI into real-world customer success. You&#39;ll build, mentor, and scale a world-class team of Forward Deployed Engineers (FDEs) who work directly with customers to deliver AI agents that solve practical business problems and drive measurable outcomes.</p>\n<p>This is a high-impact leadership role for someone who loves building teams, refining processes, and driving product excellence through deep customer engagement. You&#39;ll be at the intersection of engineering, product, and go-to-market , ensuring that Cresta delivers exceptional value at scale.</p>\n<p><strong>Travel Expectations:</strong></p>\n<p>10-25% travel for customer visits, team offsites, and company events</p>\n<p><strong>This role is perfect for someone who:</strong></p>\n<ul>\n<li>Has been in the trenches as an FDE or similar customer-facing engineering role and wants to scale that impact through leadership</li>\n<li>Thrives on building high-performing teams and developing talent</li>\n<li>Loves turning customer insights into product improvements</li>\n<li>Gets energized by complex deployments, ambiguous problems, and fast-paced environments</li>\n<li>Believes that engineering excellence and customer obsession go hand-in-hand</li>\n</ul>\n<p><strong>Why You&#39;ll Love This Role:</strong></p>\n<ul>\n<li>High impact, high visibility: You&#39;ll own one of the most strategic functions at Cresta , the team that turns AI into customer success</li>\n<li>Build something new: FDE at Cresta is still being defined. You&#39;ll shape the function, the culture, and the playbook</li>\n<li>Work with cutting-edge AI: You&#39;ll be hands-on with state-of-the-art AI agents, LLMs, and enterprise deployments at scale</li>\n<li>Develop world-class talent: You&#39;ll recruit and mentor some of the best engineers in the industry</li>\n<li>Influence product strategy: Your insights will directly shape what Cresta builds and how we win in enterprise</li>\n<li>Collaborate with the best: You&#39;ll work alongside world-class teams across product, engineering, and go-to-market</li>\n<li>Move fast, see impact: This isn&#39;t a slow-moving enterprise role. You&#39;ll ship fast, iterate, and see your work drive measurable customer outcomes</li>\n</ul>\n<p><strong>What You&#39;ll Do:</strong></p>\n<ul>\n<li>Build and Scale the FDE Team</li>\n<li>Recruit top talent: Own hiring strategy and execution for FDEs, building a diverse team of engineers who blend technical excellence with customer empathy</li>\n<li>Develop your team: Mentor FDEs through hands-on coaching, career development, and technical guidance</li>\n<li>Define the role: Evolve the FDE career ladder, competencies, and growth paths as the function matures</li>\n<li>Foster culture: Build a team culture grounded in ownership, customer-first mentality, and continuous learning</li>\n</ul>\n<ul>\n<li>Refine Processes and Drive Operational Excellence</li>\n<li>Optimize the customer lifecycle: Design and refine how FDEs engage across sales, implementation, and long-tail support</li>\n<li>Scale what works: Identify patterns in successful deployments and turn them into repeatable processes</li>\n<li>Balance speed and quality: Establish frameworks for scoping, prioritization, and delivery that enable FDEs to move fast without sacrificing quality</li>\n<li>Measure what matters: Define team metrics and KPIs tied to customer outcomes, deployment velocity, and product adoption</li>\n</ul>\n<ul>\n<li>Drive Product Improvements</li>\n<li>Be the voice of the customer: Synthesize customer feedback, pain points, and feature requests to inform product roadmap priorities</li>\n<li>Close the feedback loop: Partner closely with Product and Engineering teams to advocate for improvements that unlock enterprise value</li>\n<li>Build vs. buy vs. hack: Guide FDEs in making smart trade-offs between quick fixes, generalizable features, and platform investments</li>\n<li>Champion generalization: Push the team to build scalable solutions, not one-off customizations, while still delivering customer value quickly</li>\n</ul>\n<ul>\n<li>Lead Cross-Functional Collaboration</li>\n<li>Partner with Product: Work with PMs to translate customer insights into product strategy and roadmap decisions</li>\n<li>Align with Engineering: Collaborate with core engineering teams to ensure FDE-built features integrate seamlessly into the platform</li>\n<li>Enable Go-to-Market: Partner with Sales, Solutions Engineering, and Customer Success to scope opportunities, manage expectations, and deliver successful outcomes</li>\n<li>Influence leadership: Present customer insights, deployment learnings, and strategic recommendations to executive leadership</li>\n</ul>\n<ul>\n<li>Stay Hands-On (When Needed)</li>\n<li>Jump into the fire: Roll up your sleeves to support critical deployments, troubleshoot complex issues, or unblock your team</li>\n<li>Stay technical: Maintain credibility by staying close to the codebase, understanding AI agent architecture, and contributing when it matters most</li>\n<li>Lead by example: Model the behaviors you want to see , customer empathy, technical depth, ownership, and urgency</li>\n</ul>\n<p><strong>What We&#39;re Looking For:</strong></p>\n<ul>\n<li>Engineering management experience: At least 2 years managing, mentoring, and growing engineering teams</li>\n<li>Customer-facing engineering background: Experience as a Forward Deployed Engineer, Solutions Engineer, Implementation Engineer, or similar role working directly with customers</li>\n<li>Technical depth: Strong software engineering fundamentals (coding, system design, APIs, databases) , you&#39;ve built production systems and can earn the respect of senior engineers</li>\n<li>AI/LLM familiarity: Hands-on experience with AI agents, LLMs, prompt engineering, or ML deployments in production</li>\n<li>Hiring and talent development: Proven track record of recruiting, onboarding, and developing high-performing engineers</li>\n<li>Cross-functional leadership: Demonstrated ability to influence and collaborate across Product, Engineering, Sales, and Customer Success teams</li>\n<li>Bias toward action: You ship fast, iterate, and believe that perfect is the enemy of good</li>\n<li>Customer empathy: Deep understanding of enterprise customer needs and pain points</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5409d86b-253","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cresta","sameAs":"https://www.cresta.ai/","logo":"https://logos.yubhub.co/cresta.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/cresta/jobs/5099068008","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI","Machine Learning","Software Engineering","Leadership","Team Management","Customer Engagement","Product Development","Cross-Functional 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