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This involves covering customer insights, go-to-market, customer adoption, product, and operations.</p>\n<p>You will apply AI-native capabilities to how the business runs, operating like an early general manager: understanding business economics, defining strategy, and breaking big goals into actionable work. 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As a System Safety Engineer at Anduril, you will autonomously drive system-level safety decisions, apply advanced analysis techniques, influence design trades, and lead complex failure investigations.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Execute System Safety program plans aligned with MIL-STD-882E and program-specific requirements</li>\n<li>Conduct safety analyses including FHA, Fault Tree Analysis, SCFTA, FMECA, and System Safety Assessments at the system and sub-system level</li>\n<li>Develop safety requirements and collaborate with design teams to implement safety solutions</li>\n<li>Identify and document hazards and risks, manage hazard tracking, and ensure proper risk mitigation strategies are in place</li>\n<li>Support the Design Requirements Process to ensure teams adhere to safety best practices</li>\n<li>Support Development Milestone Reviews (PDR, CDR, QDR) representing System Safety</li>\n<li>Lead Safety corrective actions from RCCA investigations and 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We are looking for a Product Finance Senior Manager to own the economics and financial operations of our multi-cloud platform spend.</p>\n<p>You will be a key finance partner to our Cloud Engineering and Infrastructure Operations leaders, with a mandate that spans driver-based cloud forecasting, infrastructure efficiency roadmaps, and scalable cost attribution across our product portfolio.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Drive analytics and modeling to understand how platform spend scales</li>\n<li>Lead deep data analytics to identify the underlying drivers of shared cloud platform spend across products, cloud providers, and global regions</li>\n<li>Build robust, driver-based forecasting models that accurately predict infrastructure spend across regional expansion, customer scale, and new product launches</li>\n<li>Partner with Cloud Infrastructure Operations to design a forward-looking cost attribution model that accurately maps shared platform expenses to individual products</li>\n<li>Establish robust KPIs and operations to achieve unit economics goals</li>\n<li>Partner with Engineering to define north star efficiency KPIs across core platform services and storage/compute layers</li>\n<li>Build the infrastructure efficiency roadmap alongside Engineering and translate technical optimizations into committed operating and gross margin targets</li>\n<li>Drive tight operational rhythms and reporting so product and engineering leaders have clear visibility to execute against their unit economic goals</li>\n<li>Scale cloud finance operations and systems</li>\n<li>Bring systems-level thinking to cloud FP&amp;A processes, building automated workflows that scale as our multi-cloud footprint and commitment structures become increasingly dynamic</li>\n<li>Ensure cloud cost allocation frameworks, monthly accruals, and reporting pipelines remain rigorous, auditable, and scalable as the business compounds</li>\n<li>Dogfood the Databricks platform to analyze 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company.</li>\n<li>A proven track record of partnering directly with senior Engineering, Product Operations, and People/Workplace executives to drive capital allocation and operational rigor.</li>\n<li>Systems-level thinker with a demonstrated ability to re-engineer financial processes from scratch,spanning headcount tracking, procurement, close, and SOX controls,to support rapid scale.</li>\n<li>Experience building, leading, and developing high-output finance teams in fast-moving environments.</li>\n<li>Preferred</li>\n<li>Direct experience analyzing cloud dev/test infrastructure and AI tooling/token costs.</li>\n<li>Experience attributing shared engineering and platform R&amp;D costs across a complex, multi-product portfolio to establish product-level profitability.</li>\n<li>Hands-on proficiency with SQL, Python, or notebook environments (especially Databricks) to automate reporting and self-serve insights from large operational datasets.</li>\n</ul>\n<p>Pay Range Transparency: Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. 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toolkits.</li>\n<li>Strong understanding of CAD data management concepts.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>Anduril offers top-tier benefits for full-time employees, including comprehensive, competitive benefits packages.</p>\n<p><strong>Salary Range</strong></p>\n<p>$140,000-$186,000 USD</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_bcccc546-073","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril Industries","sameAs":"https://anduril.com","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5256500007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$140,000-$186,000 USD","x-skills-required":["NX Open 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Support Engineer at Anduril, you will establish, maintain, and optimise the Siemens NX CAD environment for engineering and manufacturing teams.</p>\n<p>You will provide specialised technical support for CAD software applications, manage IT helpdesk queues, and resolve technical support tickets.</p>\n<p>Your expertise will directly contribute to designing, iterating, and delivering cutting-edge defence solutions at speed and scale.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Develop, implement, monitor, and optimise the Siemens NX CAD environment, including templates, customisation files, role-based configurations, and default settings.</li>\n<li>Provide specialised technical support for CAD software applications used by design and engineering teams.</li>\n<li>Manage incoming IT helpdesk queues, ensuring tickets are triaged, categorised, and assigned correctly.</li>\n<li>Resolve Tier 1 and Tier 2 technical support tickets related to CAD/PLM software issues.</li>\n<li>Meet or exceed established Service Level Agreements (SLAs) for ticket response and resolution times.</li>\n<li>Onboard new hires by setting up CAD-capable workstations, user accounts, and software permissions.</li>\n<li>Create, organise, and maintain user-facing self-service documentation and internal IT knowledge base articles.</li>\n<li>Provide technical leadership and structured training to engineering and design teams.</li>\n<li>Coordinate configuration and improvement projects with engineering, manufacturing, IT, quality, and Siemens/external service providers.</li>\n<li>Lead or champion reliability, capability, and continuous improvement projects related to the CAD/PLM environment.</li>\n<li>Ensure CAD configuration activities comply with site security, quality, and regulatory standards.</li>\n</ul>\n<p><strong>Required Qualifications</strong></p>\n<ul>\n<li>Associate degree or Bachelor&#39;s degree in Information Technology, Computer Science, Engineering, Drafting/Design, or equivalent work experience.</li>\n<li>2–4 years of experience in an IT helpdesk/technical support role.</li>\n<li>Minimum 1–2 years of experience supporting or directly using CAD platforms (NX, SolidWorks) in a professional environment.</li>\n<li>Working knowledge interpreting NX Logs/Sys Logs.</li>\n<li>Strong written and verbal communication skills.</li>\n<li>Excellent troubleshooting skills with a methodical approach to diagnosing complex software conflicts.</li>\n<li>Ability to explain complex technical issues to both highly technical engineers and non-technical staff.</li>\n<li>Patient, empathetic, and helpful attitude toward end-users under tight deadlines.</li>\n<li>Strong multitasking skills to manage a high volume of tickets while prioritising critical CAD-stoppage issues.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience administering Teamcenter PLM, including workflow, BOM, and access configuration.</li>\n<li>Multi-skilled experience administering and configuring Siemens NX with advanced troubleshooting capability across CAD, CAM, and CAE environments.</li>\n<li>Experience configuring NX templates, customisation files, role-based settings, and standardised environments for multi-user deployments.</li>\n<li>Capable of obtaining U.S. Secret security clearance.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>Anduril offers a comprehensive, competitive benefits package, including top-tier benefits for full-time employees.</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_9415f71e-649","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril","sameAs":"https://andurilindustries.com","logo":"https://logos.yubhub.co/andurilindustries.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5256525007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$140,000-$186,000 USD","x-skills-required":["Siemens NX","CAD","Technical Support","IT Helpdesk","Troubleshooting","Communication","Project Management"],"x-skills-preferred":["Teamcenter PLM","NX Templates","Customisation Files","Role-Based Settings","U.S. Secret Security Clearance"],"datePosted":"2026-10-05T04:18:31.383Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, 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ensuring that designers and engineers have reliable, performant, and standardised tools to rapidly innovate.</p>\n<p>Your expertise will directly contribute to our ability to design, iterate, and deliver cutting-edge defence solutions at speed and scale.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Develop, implement, monitor, and optimise the Siemens NX CAD environment, including templates, customisation files, role-based configurations, and default settings across the organisation.</li>\n<li>Provide specialised technical support for CAD software applications used by our design and engineering teams (e.g., NX, SolidWorks).</li>\n<li>Manage the incoming IT helpdesk queue, ensuring tickets are triaged, categorised, and assigned correctly.</li>\n<li>Resolve Tier 1 and Tier 2 technical support tickets related to CAD/PLM software issues.</li>\n<li>Meet or exceed established Service Level Agreements (SLAs) for ticket response and resolution times.</li>\n<li>Onboard new hires by setting up CAD-capable workstations, user accounts, and software permissions.</li>\n<li>Create, organise, and maintain user-facing self-service documentation and internal IT knowledge base articles.</li>\n<li>Provide technical leadership and structured training to engineering and design teams; mentor less experienced users and serve as the primary point of escalation for NX-related issues.</li>\n<li>Coordinate configuration and improvement projects with engineering, manufacturing, IT, quality, and Siemens/external service providers; act as the technical point of contact for significant CAD/PLM issues.</li>\n<li>Lead or champion reliability, capability, and continuous improvement projects related to the CAD/PLM environment; quantify benefits, document outcomes, and implement sustainable improvements.</li>\n<li>Ensure CAD configuration activities comply with site security, quality, and regulatory standards; assess and mitigate operational and data-security risks related to the engineering toolset.</li>\n</ul>\n<p><strong>Required Qualifications</strong></p>\n<ul>\n<li>Education: Associate degree or Bachelor’s degree in Information Technology, Computer Science, Engineering, Drafting/Design, or equivalent work experience.</li>\n<li>Experience: 2–4 years of experience in an IT helpdesk/technical support role.</li>\n<li>CAD Experience: Minimum 1–2 years of experience supporting or directly using CAD platforms (NX, SolidWorks) in a professional environment.</li>\n<li>Working knowledge interpreting NX Logs/Sys Logs.</li>\n<li>Strong written and verbal communication skills to effectively interact with all levels of the organisation.</li>\n<li>Problem-Solving: Excellent troubleshooting skills with a methodical approach to diagnosing complex software conflicts.</li>\n<li>Communication: Ability to explain complex technical issues to both highly technical engineers and non-technical staff.</li>\n<li>Customer Service: A patient, empathetic, and helpful attitude toward end-users under tight deadlines.</li>\n<li>Organisation: Strong multitasking skills to manage a high volume of tickets while prioritising critical CAD-stoppage issues.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience administering Teamcenter PLM, including workflow, BOM, and access configuration.</li>\n<li>Multi-skilled experience administering and configuring Siemens NX with advanced troubleshooting capability across CAD, CAM, and CAE environments.</li>\n<li>Experience configuring NX templates, customisation files, role-based settings, and standardised environments for multi-user deployments.</li>\n<li>Capable of obtaining U.S. Secret security clearance.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.</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_23d6dc06-51a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril","sameAs":"https://andurilindustries.com","logo":"https://logos.yubhub.co/andurilindustries.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5256524007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$140,000-$186,000 USD","x-skills-required":["Siemens NX","SolidWorks","CAD","IT helpdesk","Technical support","Troubleshooting","Communication","Customer Service","Multitasking"],"x-skills-preferred":["Teamcenter PLM","Siemens NX administration","NX template configuration","U.S. Secret security clearance"],"datePosted":"2026-10-05T04:16:35.596Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Technology","skills":"Siemens NX, SolidWorks, CAD, IT helpdesk, Technical support, Troubleshooting, Communication, Customer Service, Multitasking, Teamcenter PLM, Siemens NX administration, NX template configuration, U.S. Secret security clearance","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":140000,"maxValue":186000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d6a9c063-268"},"title":"Staff Technical Program Manager- Security","description":"<p>As a Staff Technical Program Manager (TPM) for Trust &amp; Safety Engineering at Databricks, you will drive technical execution across infrastructure initiatives that protect platform integrity, user identity, and data privacy at scale.</p>\n<p>You will work directly with Security Engineering, Identity Infrastructure, Machine Learning, and Core Platform teams to design, build, and deploy systems for authentication, access control, and anomaly detection.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Define, articulate, and own the security program strategy and roadmap, ensuring alignment with Databricks&#39; business and product goals.</li>\n<li>Drive initiatives across Identity Infrastructure, Data Governance, Platform Security, Machine Learning, and Trust Engineering.</li>\n<li>Oversee execution of complex security engineering multi-half initiatives (AuthN/AuthZ/Secret/PKI/Cryptography, etc), demonstrating ownership from strategy through outcomes.</li>\n<li>Leverage deep technical knowledge of cloud, distributed systems, and security engineering to influence design decisions, proactively identify risks, and remove roadblocks.</li>\n<li>Define and track security metrics (KPIs, OKRs), using data to drive decisions, communicate program health, and measure business impact.</li>\n<li>Present program status, risks, and progress to executive and technical audiences, building trust and ensuring transparency around security posture.</li>\n</ul>\n<p>What You&#39;ll Bring:</p>\n<ul>\n<li>Proven experience leading large-scale, ambiguous security programs that operate across organizational boundaries, ideally in cloud-native or SaaS environments.</li>\n<li>Strong strategic thinking, with the ability to see the big picture, translate vision into execution, and drive alignment across senior stakeholders.</li>\n<li>Deep technical literacy in IAM (OAuth 2.0 / OIDC), data privacy controls, anomaly detection pipelines, abuse prevention systems, and risk assessment, comfortable partnering directly with engineering leaders and architects.</li>\n<li>Ability to develop scalable solutions, optimize processes, and foster a &#39;security by default&#39; mindset across engineering and developer teams.</li>\n<li>Data-driven approach: skilled at defining effective metrics, surfacing insights, and using results to shape strategy and demonstrate impact.</li>\n<li>A track record of building consensus and driving outcomes in a fast-paced, highly collaborative environment.</li>\n</ul>\n<p>Minimum Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, Computer Engineering, or equivalent technical experience.</li>\n<li>8+ years of progressive experience in technical program management, engineering program management, security program management, or an equivalent technical leadership role.</li>\n<li>Demonstrated ability to translate security, privacy, with data privacy, identity access, and trust engineering requirements/objectives into technical strategy, architecture decisions, execution plans, and measurable outcomes.</li>\n<li>Demonstrated ability to resolve conflicting priorities and resource constraints across cross-functional teams without direct authority, establish organization-wide engineering processes, and deliver complex, multi-team roadmaps.</li>\n<li>Strong written and verbal communication skills, with the ability to present complex technical strategies to executive engineering leaders.</li>\n<li>Experience using AI-enabled tools to accelerate program strategy, technical problem-solving, analysis, and automation.</li>\n<li>Ability to work onsite three days per week in Bellevue, Seattle, San Francisco, or Mountain View.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience operating in hyperscale cloud environments such as AWS, Azure, or GCP, or in complex distributed data-processing environments.</li>\n<li>Prior hands-on experience as a software, systems, or security engineer before transitioning to Technical Program Management.</li>\n<li>Familiarity with unified data governance architectures, distributed-systems security, and or security controls supporting AI and machine-learning infrastructure.</li>\n</ul>\n<p>Pay Range Transparency: The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. SF Bay Area Hourly Rate $222,500-$305,900 USD</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_d6a9c063-268","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://www.databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8864290002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$222,500-$305,900","x-skills-required":["IAM (OAuth 2.0 / OIDC)","data privacy controls","anomaly detection pipelines","abuse prevention systems","risk assessment","cloud","distributed systems","security engineering"],"x-skills-preferred":["Experience operating in hyperscale cloud environments such as AWS, Azure, or GCP","Prior hands-on experience as a software, systems, or security engineer before transitioning to Technical Program Management","Familiarity with unified data governance architectures, distributed-systems security, and or security controls supporting AI and machine-learning infrastructure"],"datePosted":"2026-10-03T00:13:03.122Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"IAM (OAuth 2.0 / OIDC), data privacy controls, anomaly detection pipelines, abuse prevention systems, risk assessment, cloud, distributed systems, security engineering, Experience operating in hyperscale cloud environments such as AWS, Azure, or GCP, Prior hands-on experience as a software, systems, or security engineer before transitioning to Technical Program Management, Familiarity with unified data governance architectures, distributed-systems security, and or security controls supporting AI and machine-learning infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":222500,"maxValue":305900,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_090b8259-398"},"title":"Senior Product Sourcing Engineer, Counter Intrusion","description":"<p>The Senior Product Sourcing Engineer drives the strategic supply network development and cost management of Anduril&#39;s Counter Intrusion product portfolio across their lifecycles.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Conduct supplier selection for specific products, leveraging the approved supplier list.</li>\n<li>Partner with strategic suppliers to accelerate product development via activities such as concept scoping, feature trade-off/trade tables, should cost/clean sheet models, joint design development, simulation of mechanical &amp; electronics designs.</li>\n<li>Drive the development and consolidation of a manufacturing BOM, working with Quality &amp; Manufacturing, to ramp production internally and with suppliers with high flexibility.</li>\n<li>Manage CAPEX throughout NPI.</li>\n<li>Conduct value-stream mapping to optimize supply network lead time and flexibility.</li>\n<li>Complete the BOM risk assessment, including alternate component sourcing.</li>\n<li>Ensure completion of all component qualifications ahead of production.</li>\n<li>Reduce complexity: commonality optimization &amp; component/supplier rationalization.</li>\n<li>Lead all cost engineering activities to converge the bottoms-up cost curve to product cost, maximizing the total cost of ownership (TCO) across the product lifecycle.</li>\n<li>Manage ad-hoc cost issues, e.g., tariffs/import export cost, and cost inflation.</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s degree in supply chain, engineering, or related technical field.</li>\n<li>6+ years of experience in sourcing engineering, supplier engagement and development, or design of electronics and/or mechanical devices.</li>\n<li>Domain expertise of value/procurement engineering or TCO-related work at the component &amp; product level.</li>\n<li>Ability to travel 30%-40% of the time, variable based on program needs.</li>\n<li>Preference is to be onsite at an Anduril office but this role is open to remote in California.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Master&#39;s degree or advanced technical degree in mechanical engineering.</li>\n<li>Deeper experience within design &amp; development of electronics and/or mechanical devices, advanced sourcing activities, supplier development, early supplier engagement.</li>\n<li>Familiarity with developing high-tech products in a high-mix, low-volume environment.</li>\n<li>Exposure to working in a fast-paced, start-up environment.</li>\n<li>Ability to obtain and maintain a U.S. TS clearance.</li>\n</ul>\n<p>Benefits: Anduril offers top-tier benefits for full-time employees, including comprehensive, competitive benefits packages available at little to no cost to employees.</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_090b8259-398","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril","sameAs":"https://andurilindustries.com","logo":"https://logos.yubhub.co/andurilindustries.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5253774007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$160,000-$211,000 USD","x-skills-required":["supply chain","engineering","sourcing engineering","supplier engagement","design of electronics","mechanical devices"],"x-skills-preferred":["mechanical engineering","advanced sourcing activities","supplier development","early supplier engagement"],"datePosted":"2026-10-01T02:19:29.491Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"supply chain, engineering, sourcing engineering, supplier engagement, design of electronics, mechanical devices, mechanical engineering, advanced sourcing activities, supplier development, early supplier engagement","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":160000,"maxValue":211000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_72703ecb-21f"},"title":"Senior EMC Engineer","description":"<p>Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold.</p>\n<p>We are seeking a Senior EMC Design and Compliance Engineer to join our Electrical Engineering Design team. In this role, you will collaborate closely with electrical, mechanical, and materials design teams, as well as corporate compliance groups and third-party laboratories.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Define product, module and interface-level EMC requirements and develop pre-compliance and compliance test strategies.</li>\n<li>Own and operate the local EMC lab; plan, execute, supervise, and troubleshoot EMC testing (MIL-STD-461 RE102/RS103, MIL-STD-464C field-level requirements) at third-party labs and internal facilities.</li>\n<li>Evaluate test data, correlate emission failures with clock/data harmonics or other root causes using measurement and simulation data and implement effective design countermeasures.</li>\n<li>Communicate findings and design trade-offs clearly to internal stakeholders and external suppliers, including negotiating design changes and schedules when EMC issues are found late in development.</li>\n<li>Review schematics, CAD designs, cable terminations, and PCB/flex layouts for EMC risk, including signal integrity and impedance trade-offs; Provide technical guidance on PCB component selection, floor planning, stack-ups, shielding, and grounding/bonding strategies for housings and fasteners.</li>\n<li>Ability to travel up to 20%.</li>\n<li>Must be eligible to obtain and maintain a clearance.</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>Strong knowledge of MIL-STD-461 and MIL-STD-464 EMC test methods and requirements.</li>\n<li>Experience with radiated and conducted emissions/immunity testing, from pre-compliance through full compliance campaigns.</li>\n<li>Hands-on experience with EMC test equipment , EMI receivers, signal generators, power amplifiers, LISNs, current probes, and antennas.</li>\n<li>Experience managing or maintaining an EMC test lab, including equipment calibration and test capability planning.</li>\n<li>Working knowledge of PCB layout, stack-up, and flex circuit design as it relates to EMC and signal integrity.</li>\n<li>Familiarity with shielding materials, conductive/non-conductive coatings, and grounding/bonding practices, including galvanic corrosion considerations.</li>\n<li>Willingness to travel to third-party labs to supervise and support test campaigns.</li>\n<li>Strong root-cause analysis skills and the ability to communicate findings across engineering disciplines.</li>\n</ul>\n<p>The salary range for this role is $160,000-$211,000 USD per year. Highly competitive equity grants are included in the majority of full-time offers; and are considered part of Anduril&#39;s total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees.</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_72703ecb-21f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril Industries","sameAs":"https://anduril.com","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5249863007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$160,000-$211,000 USD","x-skills-required":["MIL-STD-461","MIL-STD-464","EMC testing","PCB layout","signal integrity","shielding materials"],"x-skills-preferred":["Ansys HFSS","Altair FEKO","CST Studio Suite"],"datePosted":"2026-10-01T02:17:40.074Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"MIL-STD-461, MIL-STD-464, EMC testing, PCB layout, signal integrity, shielding materials, Ansys HFSS, Altair FEKO, CST Studio Suite","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":160000,"maxValue":211000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_df589819-f25"},"title":"Candidate Experience Admin (6-month contract)","description":"<p>As a Candidate Experience Admin at Databricks, you&#39;ll focus on delivering a smooth, error-free onsite candidate experience.</p>\n<p>You will serve as the primary onsite point of contact for candidates, managing timely, professional, and friendly communication to ensure candidates feel supported throughout their journey.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Manage physical logistics and in-person candidate experience, maintaining an active day-of presence to oversee candidate greetings, manage room changes, and perform live troubleshooting</li>\n<li>Coordinate interviews, prioritizing high-touch, time-sensitive scheduling needs, and hiring experience</li>\n<li>Contribute to and identify data-driven improvements and ad hoc projects that enhance our recruitment processes and candidate experience programs</li>\n<li>Build relationships and trust with the broader Talent Acquisition team, cross-functional partners, and hiring stakeholders</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Active hands-on logistics management and real-time troubleshooting capabilities</li>\n<li>Effective communication and prioritization skills</li>\n<li>The ability to thrive in a fast-paced environment with evolving in-person and scheduling needs</li>\n<li>Collaborative mindset and openness to feedback</li>\n<li>Proactive approach to resolving ambiguous challenges and unexpected in-person logistics on the fly</li>\n<li>A track record of high accuracy and attention to detail</li>\n<li>An interest in technology and artificial intelligence</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive benefits and perks that meet the needs of all employees</li>\n</ul>\n<p>Pay Range: $70,000-$85,000 USD</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_df589819-f25","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://www.databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8854350002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":null,"x-job-type":"contract","x-salary-range":"$70,000-$85,000 USD","x-skills-required":["logistics management","communication","prioritization","troubleshooting","relationship building"],"x-skills-preferred":[],"datePosted":"2026-09-29T21:12:27.589Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"CONTRACTOR","occupationalCategory":"Human Resources","industry":"Technology","skills":"logistics management, communication, prioritization, troubleshooting, relationship building","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":70000,"maxValue":85000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_89921808-74d"},"title":"Senior AI Builder","description":"<p><strong>Job Overview</strong></p>\n<p>EarnIn is seeking a Senior AI Builder to join their Engineering team in Mountain View. As a pioneer in earned wage access, EarnIn&#39;s mission is to deliver real-time financial flexibility for those living paycheck to paycheck. The successful candidate will work at the intersection of platform engineering, developer experience, and applied AI, focusing on building AI-native capabilities.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and build agents that take real actions, including prompts, reasoning chains, tool calls, and architecture</li>\n<li>Develop production infrastructure, including MCP servers, agent scaffolding, context harnesses, and a Skills Marketplace</li>\n<li>Challenge and improve the product development lifecycle by replacing manual friction with agentic workflows</li>\n<li>Build evaluation infrastructure, including pipelines, benchmarks, and quality gates to ensure AI reliability and trustworthiness</li>\n<li>Create reusable libraries, templates, and reference implementations for AI integration</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>4+ years of full-time software engineering experience, with at least 2 years building tooling, platforms, or internal developer products</li>\n<li>Bachelor&#39;s, Master&#39;s, or PhD in Computer Science, Computer Engineering, or a related technical discipline, or equivalent industry experience</li>\n<li>Hands-on experience with LLM integration patterns, prompt engineering, RAG pipelines, tool/function calling, and agent architectures</li>\n<li>Proficiency working across the stack when needed</li>\n<li>Experience with MCP, LangChain, or comparable orchestration frameworks</li>\n<li>Experience with open-source LLM models</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Hands-on experience with reinforcement learning, especially RLHF, RLAIF, or reward modeling in applied product contexts</li>\n<li>Experience in fintech or regulated/security-sensitive environments</li>\n<li>Hands-on work with AI governance, bias evaluation, audit logging, model cards</li>\n<li>Exposure to multi-step reasoning pipelines or human-in-the-loop system design</li>\n</ul>\n<p><strong>What Success Looks Like</strong></p>\n<ul>\n<li>Teams across engineering can ship AI-assisted features faster, with fewer rework loops</li>\n<li>Harnesses built are actively used and well-documented</li>\n<li>AI pilot quality and safety metrics are visible, trustworthy, and improving</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>The Mountain View base salary range for this full-time position is $228,000 - $279,000, plus equity and benefits. This is a hybrid position requiring in-office work 2 days a week.</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_89921808-74d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"EarnIn","sameAs":"https://earnin.com","logo":"https://logos.yubhub.co/earnin.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/earnin/jobs/7926941?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$228,000 - $279,000","x-skills-required":["LLM integration patterns","prompt engineering","RAG pipelines","tool/function calling","agent architectures","MCP","LangChain","open-source LLM models"],"x-skills-preferred":["reinforcement learning","RLHF","RLAIF","reward modeling","fintech","regulated/security-sensitive environments","AI governance","bias evaluation","audit logging","model cards","multi-step reasoning pipelines","human-in-the-loop system design"],"datePosted":"2026-09-29T02:03:42.233Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"LLM integration patterns, prompt engineering, RAG pipelines, tool/function calling, agent architectures, MCP, LangChain, open-source LLM models, reinforcement learning, RLHF, RLAIF, reward modeling, fintech, regulated/security-sensitive environments, AI governance, bias evaluation, audit logging, model cards, multi-step reasoning pipelines, human-in-the-loop system design","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":228000,"maxValue":279000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_208202e1-395"},"title":"Wireless Regulatory Engineer - SAR","description":"<p><strong>Compensation</strong></p>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n<li>401(k) retirement plan with employer match</li>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n<li>Mental health and wellness support</li>\n<li>Employer-paid basic life and disability coverage</li>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n<li>Relocation support for eligible employees</li>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>The Consumer Devices team at OpenAI builds products that bring advanced AI capabilities into thoughtfully designed consumer experiences. We work across hardware, software, design, and research to develop reliable products from early exploration through production.</p>\n<p><strong>About the Role</strong></p>\n<p>We&#39;re looking for a Wireless Regulatory Engineer to support RF exposure compliance for consumer hardware. You&#39;ll work closely with RF, antenna, hardware, software, and regulatory teams throughout the product development lifecycle, helping ensure products meet applicable requirements while maintaining a high bar for performance and user experience.</p>\n<p><strong>This role is based in Mountain View, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees.</strong></p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Develop and execute RF exposure test and validation strategies for consumer wireless products.</li>\n<li>Partner with engineering teams to evaluate product designs and identify potential compliance risks throughout development.</li>\n<li>Perform and analyze RF exposure measurements and communicate findings clearly to cross-functional teams.</li>\n<li>Support product development from early prototypes through validation, certification, and production.</li>\n<li>Coordinate testing with external laboratories and review results and supporting documentation.</li>\n<li>Translate applicable regulatory requirements into practical engineering guidance.</li>\n<li>Partner with RF and antenna teams to balance regulatory requirements with product performance.</li>\n<li>Develop tools and workflows that improve testing efficiency, consistency, and data analysis.</li>\n<li>Investigate issues, identify root causes, and work with engineering teams to develop effective solutions.</li>\n<li>Support global regulatory certification activities for wireless consumer products.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have a Master&#39;s degree or equivalent experience in Electrical Engineering, Computer Engineering, RF Engineering, or a related technical field.</li>\n<li>Bring deep experience with SAR, RF exposure, or wireless regulatory testing.</li>\n<li>Have a strong understanding of RF fundamentals, measurement techniques, and wireless systems.</li>\n<li>Have experience translating regulatory requirements into engineering and product decisions.</li>\n<li>Are comfortable performing hands-on testing, analyzing complex measurement data, and troubleshooting hardware systems.</li>\n<li>Have experience working with external test laboratories and supporting product certification.</li>\n<li>Collaborate effectively across RF, antenna, hardware, software, manufacturing, and operations teams.</li>\n<li>Are comfortable working in fast-moving, ambiguous product development environments.</li>\n</ul>\n<p><strong>Minimum Qualifications</strong></p>\n<ul>\n<li>Experience in SAR, RF exposure, wireless regulatory engineering, or a closely related field.</li>\n<li>Experience supporting consumer hardware from prototype through mass production.</li>\n<li>Experience with wireless products incorporating multiple radios and connectivity technologies.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience developing test automation or data-analysis tools.</li>\n<li>Experience supporting regulatory approvals across multiple global markets.</li>\n<li>Experience working on products that integrate hardware, firmware, and software.</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_208202e1-395","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://www.openai.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/2250282b-7f1a-43e6-bf55-e603cbf0fd89?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$318K – $423K","x-skills-required":["RF exposure","wireless regulatory testing","Electrical Engineering","Computer Engineering","RF Engineering"],"x-skills-preferred":["test automation","data-analysis tools","regulatory approvals"],"datePosted":"2026-09-26T20:06:54.335Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"RF exposure, wireless regulatory testing, Electrical Engineering, Computer Engineering, RF Engineering, test automation, data-analysis tools, regulatory approvals","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":318000,"maxValue":423000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_38ab30a4-e62"},"title":"International Legal Counsel","description":"<p>Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology.</p>\n<p>The Legal Team at Anduril seeks an International Legal Counsel to support international government and commercial businesses. In this role, you will work on every aspect of Anduril&#39;s business, from driving new government deals to negotiating hardware, license, and services agreements.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Be a key member of Anduril&#39;s small, dynamic Legal Team.</li>\n<li>Drive customer growth by executing new international contracts and growing existing ones.</li>\n<li>Manage relationships with procurement, contracting, and legal counterparts at foreign government ministries of defense.</li>\n<li>Provide legal counsel and day-to-day management of the entire acquisitions lifecycle.</li>\n<li>Work on all legal aspects of Anduril&#39;s international business, from negotiating license, hardware, and services agreements to advising on intellectual property and compliance matters.</li>\n<li>Develop software, hardware, and services contracting approaches for delivering cutting-edge technology to foreign government customers.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>3+ years of work on international commercial contracting and/or international government/defense contracts.</li>\n<li>Demonstrated ability to structure and negotiate cross-border commercial agreements.</li>\n<li>The judgment and initiative required to make risk-adjusted decisions for the company and own multiple projects from end-to-end.</li>\n<li>Strong communication and interpersonal skills.</li>\n<li>Licensed to practice law in CA or eligible to register as in-house counsel under California Rules of Court, Rule 9.46.</li>\n<li>U.S. citizenship and ability to obtain and maintain a U.S. security clearance.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience working with foreign government customers, particularly in Asia-Pacific or the Americas.</li>\n<li>Familiarity with regional defense frameworks and sensitivities.</li>\n<li>Regional language capability.</li>\n<li>Experience with international teaming, agent/representative, or reseller structures.</li>\n<li>Direct experience with foreign defense sales.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>Anduril offers top-tier benefits for full-time employees, including a comprehensive, competitive benefits package.</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_38ab30a4-e62","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril Industries","sameAs":"https://andurilindustries.com","logo":"https://logos.yubhub.co/andurilindustries.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5246420007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$240,000-$318,000 USD","x-skills-required":["international commercial 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Video Producer","description":"<p>As a Sr Video Producer on the Media Productions team at Databricks, you will work closely with the team and clients to ensure proper intake and management of video production projects from ideation through final delivery.</p>\n<p>The Media Productions team provides technology and media production support to deliver compelling and engaging content across the enterprise.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Collaborate with internal clients and external partners on production projects and assets.</li>\n<li>Manage pre-production, production, and post-production tasks for multimedia projects.</li>\n<li>Coordinate budgeting and logistics for video projects.</li>\n<li>Staff production teams using internal and external resources.</li>\n<li>Travel to shoot locations for scouting and pre-production.</li>\n<li>Build and manage project budgets and schedules.</li>\n<li>Work with vendors to reserve and ship equipment.</li>\n<li>Assist with script writing and creative direction.</li>\n<li>Operate camera, lighting, and audio equipment.</li>\n<li>Experience with Adobe Creative Cloud suite, including Premiere, After Effects, Illustrator, Photoshop, and Audition.</li>\n<li>Manage media assets and evaluate project ROI.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>8+ years of experience with web-based video content.</li>\n<li>5+ years at a digital-first brand or agency.</li>\n<li>Experience with Adobe Creative Cloud, Iconik, Kaltura, OpenReel, Databricks.</li>\n<li>B.A. in film production or similar field.</li>\n<li>Quick decision-making ability under pressure.</li>\n<li>Excellent project management and organisation skills.</li>\n<li>Great people and communication skills.</li>\n</ul>\n<p>Pay Range Transparency: The pay range for this role is $177,700-$244,300 USD.</p>\n<p>Benefits: Databricks provides comprehensive benefits and perks to its employees.</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_ca1ba6df-593","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://www.databricks.com/","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8816442002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$177,700-$244,300 USD","x-skills-required":["Adobe Creative Cloud","Iconik","Kaltura","OpenReel","Databricks","Video Production","Project Management"],"x-skills-preferred":[],"datePosted":"2026-09-22T18:11:40.928Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Design","industry":"Technology","skills":"Adobe Creative Cloud, Iconik, Kaltura, OpenReel, Databricks, Video 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In this role, you will own the design, analysis, and validation of thermal protection for hypersonic and high-speed flight systems operating in extreme aerothermal environments.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own TPS design, material selection, and thermal analysis for hypersonic and high-speed flight vehicles, including missiles, reentry systems, and advanced flight platforms.</li>\n<li>Perform aerothermal heating analysis using engineering correlations, boundary-layer methods, and CFD to define the thermal environment across flight trajectories.</li>\n<li>Conduct ablation and material response modeling to predict TPS recession, in-depth thermal response, and structural thermal margins under mission-representative conditions.</li>\n<li>Evaluate and select TPS materials, including carbon phenolic, PICA, silicone-based ablators, ceramics, and high-temperature composites, based on aerothermal loads, mass constraints, and manufacturability.</li>\n<li>Partner with aerodynamics, structures, propulsion, and systems engineers to integrate TPS into vehicle design while managing mass, volume, and performance tradeoffs.</li>\n<li>Define and execute thermal and material characterization tests, including arcjet testing, furnace testing, and instrumented flight-article thermal testing.</li>\n<li>Build and maintain thermal models spanning hand calculations through detailed FEA/CFD to predict system performance, establish design limits, and support qualification.</li>\n<li>Present TPS status, risks, tradeoffs, and recommendations in internal design reviews and customer-facing technical reviews.</li>\n<li>Support failure reviews and root-cause investigations using test data, thermal analysis, and first-principles reasoning.</li>\n</ul>\n<p><strong>Required Qualifications</strong></p>\n<ul>\n<li>MS or PhD in Aerospace Engineering, Mechanical Engineering, Applied Physics, or a related field with a focus on aerothermodynamics, heat transfer, thermal sciences, or materials science.</li>\n<li>2+ years of experience in TPS design, aerothermal analysis, or high-temperature material response for aerospace or defense systems.</li>\n<li>Strong first-principles understanding of aerodynamic heating, ablation, high-temperature heat transfer, and material thermal response.</li>\n<li>Experience with material response modeling tools such as FIAT, CMA, TITAN, or equivalent ablation/thermal response codes.</li>\n<li>Experience supporting thermal design for hypersonic vehicles, reentry systems, missiles, rocket nozzles, or other systems operating in extreme aerothermal environments.</li>\n<li>Ability to obtain and maintain a U.S. Top Secret security clearance.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience with aerothermal CFD tools such as DPLR, US3D, Loci-CHEM, CFD++, ANSYS Fluent, or STAR-CCM+ for high-speed reacting flow analysis.</li>\n<li>Experience with arcjet testing, thermal characterization testing, or flight-article thermal instrumentation.</li>\n<li>Experience with high-temperature materials including carbon phenolic, carbon-carbon, PICA, SLA-561V, silicone-based ablators, or ceramic matrix composites.</li>\n<li>Experience with radiation modeling tools such as NEQAIR, HARA, or equivalent nonequilibrium radiation solvers.</li>\n<li>Experience using MATLAB, Python, or similar tools for trajectory-based heating analysis, thermal margin assessment, or engineering trade studies.</li>\n<li>Familiarity with NASA TPS heritage tools and databases (TPSX, CEA, CBAero).</li>\n<li>Experience supporting PDR/CDR, qualification testing, or flight programs.</li>\n<li>Strong motivation to support Anduril&#39;s mission of defending the United States and allied partners.</li>\n</ul>\n<p><strong>Benefits</strong> At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you&#39;re supported in health, recovery, and whatever comes next.</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_76542fdf-e6d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril Industries","sameAs":"https://anduril.com","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5243043007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$140,000-$186,000 USD","x-skills-required":["Aerothermal analysis","Thermal protection systems","Material response modeling","CFD analysis","Thermal design","High-temperature materials"],"x-skills-preferred":["Aerothermal CFD tools","Arcjet testing","Radiation modeling tools","MATLAB or Python programming","NASA TPS heritage tools"],"datePosted":"2026-09-19T21:11:48.501Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Defense","skills":"Aerothermal analysis, Thermal protection systems, Material response modeling, CFD analysis, Thermal design, High-temperature materials, Aerothermal CFD tools, Arcjet testing, Radiation modeling tools, MATLAB or Python programming, NASA TPS heritage tools","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":140000,"maxValue":186000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2942c0d0-cc1"},"title":"Senior Thermal Engineer, Expeditionary AI / HPC Data Centers","description":"<p><strong>Job Overview</strong></p>\n<p>We&#39;re seeking a Senior Thermal Engineer to lead thermal management for expeditionary AI/HPC data centers. These air-transportable, modular systems provide compute and command-and-control infrastructure at forward operating locations. You will apply expertise in heat transfer, fluid dynamics, and HVAC to ensure high-density compute runs reliably in extreme temperatures and limited power environments.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and analyse deployable data center cooling systems, including air-side and water-side cooling, heat rejection, chilled water plants, and liquid cooling.</li>\n<li>Apply first principles to determine analysis depth, using hand calculations, spreadsheets, and MATLAB/Python models.</li>\n<li>Define cooling architecture and heat-rejection strategies, such as CRAH/CRAC, air-side economization, and liquid cooling.</li>\n<li>Develop cooling approaches for high-density racks, trading off air, liquid, and hybrid cooling for modular systems in austere environments.</li>\n<li>Collaborate with engineers to characterize IT and equipment heat loads across operating and failure modes.</li>\n<li>Evaluate cooling architectures for reliability, efficiency, and cost, balancing thermal margin with capital and operating expenses.</li>\n<li>Own thermal FEA/CFD and system models, predicting facility performance and setting commissioning limits.</li>\n<li>Lead prototype builds, field testing, and operational validation of cooling designs.</li>\n<li>Present thermal status at reviews and develop internal tools to improve analysis effectiveness.</li>\n<li>Support failure reviews and root-cause analysis with test data and thermal analysis.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>MS or higher in mechanical engineering, applied physics, or related field focused on heat transfer, fluid dynamics, and HVAC.</li>\n<li>In-depth understanding of heat transfer and fluid dynamics.</li>\n<li>5+ years of experience designing thermal management systems for data centers or comparable infrastructure.</li>\n<li>Full-spectrum data center thermal experience, including air-side and water-side cooling, heat rejection, and liquid cooling.</li>\n<li>Experience with steady-state and transient system modeling of thermal management systems.</li>\n<li>Knowledge of applicable operating standards for validating and testing data center thermal equipment.</li>\n<li>Track record of staying current with the latest data center thermal management technologies.</li>\n<li>CAD experience with Siemens NX or SolidWorks.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Coding experience in Python or MATLAB for thermal analysis.</li>\n<li>Thermal FEA/CFD experience with STAR-CCM+, ANSYS, Icepak, or FloEFD.</li>\n<li>Familiarity with efficiency metrics (PUE/WUE) and thermal design for high-density AI/HPC compute.</li>\n<li>Experience with modular, transportable, or ruggedized data centers in austere environments.</li>\n<li>Ability to obtain and hold a U.S. Secret security clearance.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>Anduril offers a comprehensive benefits package, including:</p>\n<ul>\n<li>Competitive salary and equity grants</li>\n<li>Top-tier benefits for full-time employees, including health, recovery, and other support services</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_2942c0d0-cc1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril","sameAs":"https://andurilindustries.com","logo":"https://logos.yubhub.co/andurilindustries.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5243040007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$160,000-$211,000 USD","x-skills-required":["heat transfer","fluid dynamics","HVAC","thermal management","data center cooling","MATLAB","Python","Siemens 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clear plans, milestones, and success metrics.</li>\n<li>Reason about technical trade-offs in model training, evaluation, data, and infrastructure, and coordinate across research, engineering, and product to keep training and evaluation work unblocked.</li>\n<li>Communicate program status, risk, and trade-offs clearly to stakeholders and leadership, bringing lightweight structure to fast-moving, ambiguous research work.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Significant experience in technical program management, with a track record of delivering complex, cross-functional programs, ideally spanning pretraining, post-training, or evaluation.</li>\n<li>Technical fluency to reason about model training, evaluation methodology, data, and infrastructure trade-offs, and engage credibly with researchers and engineers.</li>\n<li>Strong written and verbal communication skills, with a track record of driving alignment and influencing without formal authority.</li>\n</ul>\n<p>Technical Program Management IC6 – The typical base pay range for this role across the U.S. is USD $165,600 – $296,400 per year.</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_0fbb2522-085","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/technical-program-management-model-development/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"USD $165,600 – $296,400 per year","x-skills-required":["technical program management","model training","evaluation methodology","data","infrastructure"],"x-skills-preferred":[],"datePosted":"2026-09-19T17:16:44.478Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"technical program management, model training, evaluation methodology, data, infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":165600,"maxValue":296400,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c8f5b5e1-968"},"title":"Principal TPM, Data Acquisition Operations and Governance","description":"<p>At Microsoft AI, we are building advanced AI systems that help people and organizations achieve more. Our work depends on strong commercial partnerships that provide high-quality specialized data services responsibly and at scale.</p>\n<p>This role sits at the heart of our Microsoft AI Lab organization, reporting to lab senior leadership. We’re looking for an experienced, hands-on leader to people manage and drive vendor data acquisition: identifying prospective partners, shaping commercial opportunities, negotiating agreements, and ensuring vendors deliver against commitments.</p>\n<p>You will own the vendor data acquisition pipeline end to end, from translating business and technical needs into sourcing priorities through market outreach, diligence, negotiation, contracting, and delivery oversight. The work includes managing vendor relationships and structuring novel agreements for data and services that may not have been commercially available before.</p>\n<p>The ideal candidate is a heavy user of AI and a hands-on commercial operator who has worked directly between technical teams and external partners, is comfortable owning complex negotiations personally, and builds repeatable systems that scale vendor sourcing and deal execution.</p>\n<p>This role is based in Mountain View, CA. or Redmond, WA. You are required to be in the office 4 days per week.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Manage a high-performing team of data strategy and operations professionals aligned to key data acquisition verticals across the Microsoft AI lab.</li>\n<li>Partner with technical and business stakeholders to define vendor data needs and translate them into clear sourcing strategies, requirements, and commercial opportunities.</li>\n<li>Source, evaluate, and engage prospective data vendors and strategic partners across global markets, including providers of licensed content, specialized data, and human-generated data services.</li>\n<li>Lead commercial diligence, deal structuring, contract negotiation, and ongoing vendor management, balancing business value, quality, rights, risk, cost, and speed.</li>\n<li>Build and oversee scalable procurement and vendor-management processes, including acquisition pipelines, vendor spend, contractual milestones, renewals, and delivery commitments.</li>\n<li>Coordinate cross-functional initiatives across Business Development, Procurement, Legal, Privacy, Compliance, Finance, Engineering, and technical stakeholders to move opportunities from initial outreach through executed agreement and delivery.</li>\n<li>Develop durable executive relationships with key vendors, resolve escalations, identify new partnership models, and advance the AI frontier responsibly while embodying Microsoft’s culture and values.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<p><strong>Required Qualifications</strong></p>\n<ul>\n<li>Bachelor’s Degree AND 8+ years of experience in business strategy, business development, procurement, commercial partnerships, vendor management, program management, finance, or equivalent experience.</li>\n<li>2+ years of management experience leading vendor data acquisition, complex commercial partnerships, procurement programs, or comparable vendor-facing functions.</li>\n<li>Experience building and leading a team.</li>\n<li>Demonstrated track record sourcing vendors, leading diligence, negotiating complex agreements, and building scalable systems for pipeline, spend, milestones, and vendor performance.</li>\n<li>Experience operating in a fast-moving technical or research environment where priorities shift quickly and requirements may be underspecified.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Bachelor’s Degree AND 10+ years of experience in business development, data licensing, procurement program management, commercial partnerships, vendor management, or equivalent experience.</li>\n<li>3+ years of management experience leading large-scale vendor data acquisition or strategic data partnerships for an AI, technology, content, research, or data-services organization.</li>\n<li>Fluency with data rights, licensing, privacy, and commercial terms, and comfort working with legal and compliance partners on novel questions.</li>\n</ul>\n<p>Technical Program Management IC6 – The typical base pay range for this role across the U.S. is USD $165,600 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.</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_c8f5b5e1-968","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-tpm-data-acquisition-operations-and-governance/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"USD $165,600 – $296,400 per year","x-skills-required":["business strategy","business development","procurement","commercial partnerships","vendor 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Security","description":"<p>We are seeking a Senior Staff Technical Program Manager to own and lead a company-wide portfolio of security programs spanning Trust &amp; Safety Engineering, Identity and Access Management, Platform Security, Security Operations, Product Security, and IT.</p>\n<p>The role will take a major security risk portfolio from strategy to measurable risk reduction by driving prioritization, architecture alignment, investment planning, execution, adoption, and operationalization.</p>\n<p>The scope connects customer-facing product security with internal engineering and enterprise controls across Databricks’ product, corporate, and Databricks-on-Databricks environments.</p>\n<p>Success means advancing a complex security domain, creating clarity where direction is incomplete, and materially improving Databricks’ security posture, customer trust, and ability to operate at scale.</p>\n<p>The TPM will structure ambiguous problems, evaluate technical and resourcing tradeoffs, establish durable decision mechanisms, and align VP- and Director-level organizations with competing priorities and shared dependencies.</p>\n<p>This is an executive-facing role and a trusted partner to C-suite executives, VPs of Engineering and Product, Security executives, and senior architects.</p>\n<p>The TPM will communicate risk, options, decisions, progress, and escalations with precision; embed security commitments in technical roadmaps and launch processes; and strengthen secure-by-default controls, measurable risk ownership, and operational readiness.</p>\n<p>The role will also elevate the broader TPM community through mentorship, reusable operating mechanisms, and high standards for technical program leadership.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Architect and drive execution of strategic security initiatives across Trust &amp; Safety Engineering, Identity and Access Management, Security, and IT.</li>\n<li>Establish company-wide processes to identify, track, and resolve high-risk security issues while influencing architecture and infrastructure decisions.</li>\n<li>Connect core security infrastructure to platform services so unified identity, data lineage, and audit controls extend across structured, unstructured, and AI workloads.</li>\n<li>Resolve cross-organizational blockers with Director-, VP-, and C-suite engineering leaders while balancing technical tradeoffs and resource constraints.</li>\n<li>Mentor TPMs and strengthen standards for technical rigor, operational execution, and program management.</li>\n<li>Represent Databricks’ security architecture and posture in executive technical reviews and, where appropriate, industry forums.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Minimum Qualifications</li>\n<li>Bachelor’s degree in Computer Science, Computer Engineering, or equivalent technical experience.</li>\n<li>10+ years of progressive experience in technical program management, engineering program management, security program management, or an equivalent technical leadership role.</li>\n<li>Demonstrated ability to translate security, privacy, policy, and compliance objectives into technical strategy, architecture decisions, execution plans, and measurable outcomes.</li>\n<li>Demonstrated ability to resolve conflicting priorities and resource constraints across cross-functional teams without direct authority, establish organization-wide engineering processes, and deliver complex, multi-team roadmaps.</li>\n<li>Strong written and verbal communication skills, with the ability to present complex technical strategies to executive engineering leaders.</li>\n<li>Experience using AI-enabled tools to accelerate program strategy, technical problem-solving, analysis, and automation.</li>\n<li>Ability to work onsite three days per week in Bellevue, Seattle, San Francisco, or Mountain View.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience operating in hyperscale cloud environments such as AWS, Azure, or GCP, or in complex distributed data-processing environments.</li>\n<li>Prior hands-on experience as a software, systems, or security engineer before transitioning to Technical Program Management.</li>\n<li>Familiarity with unified data governance architectures, distributed-systems security, and or security controls supporting AI and machine-learning infrastructure.</li>\n<li>Experience with external security research, open-source contributions, or speaking at major technical conferences.</li>\n</ul>\n<p><strong>Pay Range Transparency</strong></p>\n<ul>\n<li>The pay range(s) for this role is $189,800-$256,160 USD.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Databricks offers comprehensive benefits and perks that meet the needs of all employees.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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roles</li>\n<li>Ability to work with strategic customers driving multiple competing priorities</li>\n<li>Preferred 5+ years of Technical experience in Python, Java or Scala-based application development, SQL databases, Linux/Unix systems, or cloud platforms (AWS, Azure, or GCP)</li>\n<li>5+ years of technical support or field leadership experience managing global technical teams</li>\n<li>Experience working cross-functionally with other teams such as Sales, Field Engineering, Product Management, and Engineering</li>\n<li>Experience with influencing senior executives and senior customer leaders</li>\n<li>B.S degree in Computer Science or a related field is required (M.S. preferred)</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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As a Senior Platform Engineer, you will design, build, and operate the agentic systems and core infrastructure that power our platform.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design, build, and operate AI agents in production, following established governance patterns for model selection, evaluation, and safety.</li>\n<li>Implement agentic patterns for cloud infrastructure, applying and refining team best practices for production AI agents.</li>\n<li>Operate and improve high-availability distributed systems on AWS, identifying and resolving performance, scalability, and stability issues.</li>\n<li>Contribute to the evolution of our developer control plane (Cortex) as an AI-augmented self-service platform.</li>\n<li>Document agentic architecture, best practices, and operational procedures for the systems you build.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Bachelor&#39;s or Master&#39;s degree in Computer Science, Engineering, or related field.</li>\n<li>4+ years in cloud infrastructure, working on large-scale, high-availability, customer-facing distributed systems.</li>\n<li>Experience mentoring junior engineers and leading well-scoped platform initiatives within your team.</li>\n<li>Hands-on experience building and operating AI-driven systems in production, including agentic workflows that perform operational tasks.</li>\n<li>Strong working knowledge of AWS (EKS, Lambda, Bedrock, etc.) and experience with containerized and serverless architectures.</li>\n<li>Solid expertise in Kubernetes at scale and ability to implement complex, resilient solutions.</li>\n<li>Strong knowledge of infrastructure-as-code tools (Terraform, Ansible) and experience applying both traditional IaC and agentic automation.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>The base salary range for this full-time position is $228,000-$279,000, plus equity and benefits. This is a hybrid position in Mountain View (Headquarters) and will require in-office work 2 days a week.</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_c2225af7-2f0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"EarnIn","sameAs":"https://earnin.com","logo":"https://logos.yubhub.co/earnin.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/earnin/jobs/8202930?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$228,000-$279,000","x-skills-required":["AWS","Kubernetes","AI agents","Agentic systems","Cloud infrastructure","Infrastructure-as-code","Terraform","Ansible","Python","Go","Datadog","Observability","Security","Privacy","Compliance"],"x-skills-preferred":["Service mesh","Traffic management","MLOps","LLMOps","Security frameworks","Audit logging","Data governance"],"datePosted":"2026-09-15T21:02:12.505Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AWS, Kubernetes, AI agents, Agentic systems, Cloud infrastructure, Infrastructure-as-code, Terraform, Ansible, Python, Go, Datadog, Observability, Security, Privacy, Compliance, Service mesh, Traffic management, MLOps, LLMOps, Security frameworks, Audit logging, Data governance","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":228000,"maxValue":279000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_98c9fceb-c0d"},"title":"Senior Software Engineer, Compute Infrastructure","description":"<p>Multi-cloud is core to Databricks&#39; product strategy. Compute serves as the layer that abstracts the cloud from the rest of the company. As a Senior Software Engineer on this team, you will build unified infrastructure on top of heterogeneous clouds.</p>\n<p>You won&#39;t just manage infrastructure; you will build it as a product. You will tackle the hard problems of distributed systems: sub-second container/MicroVM startup times, multi-tenant security isolation, and building a unified orchestration layer that scales across AWS, Azure, and GCP.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and build the next generation of our Serverless platform, focusing on high availability, low latency, and scale-to-zero efficiency.</li>\n<li>Build a single compute stack that supports heterogeneous workloads, including GPU instance qualification for AI training and stateful execution for Lakebase.</li>\n<li>Solve Multi-Cloud Complexity: Develop platform-level abstractions that allow Databricks to run seamlessly across all major cloud providers.</li>\n<li>Optimize everything from the API gateway down to the host-level networking and container orchestration.</li>\n<li>Work alongside industry experts who have built world-class systems like Borg, Kubernetes, and Uber&#39;s infrastructure.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>5+ years of production-level experience in one of: Python, Java, Scala, C++, or a similar language</li>\n<li>4+ years of experience developing large-scale distributed systems from scratch</li>\n<li>Experience with Kubernetes, Docker, or MicroVM technologies (e.g., Firecracker) and a strong grasp of cloud provider internals (AWS/Azure/GCP).</li>\n<li>You understand how to build tools from the ground up when existing solutions fail at our scale.</li>\n</ul>\n<p><strong>Pay Range Transparency</strong></p>\n<p>The pay range for this role is $164,200-$205,200 USD. Actual compensation packages are based on several factors that are unique to each candidate.</p>\n<p><strong>Benefits</strong></p>\n<p>Comprehensive benefits and perks that meet the needs of all employees are provided. For specific details on the benefits offered in your region, click here.</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_98c9fceb-c0d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://www.databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8806934002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$164,200-$205,200 USD","x-skills-required":["Python","Java","Scala","C++","Kubernetes","Docker","MicroVM","AWS","Azure","GCP"],"x-skills-preferred":[],"datePosted":"2026-09-15T14:11:50.446Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Java, Scala, C++, Kubernetes, Docker, MicroVM, AWS, Azure, GCP","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":164200,"maxValue":205200,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_56451346-da8"},"title":"Staff Site Reliability Engineer","description":"<p><strong>About the Role</strong></p>\n<p>As a Staff Site Reliability Engineer at EarnIn, you will guide technical direction for reliability across critical services, relying on AI-assisted workflows as key tools to reduce toil, speed incident response, improve production readiness, and enhance the operational quality of the engineering organization.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Act as a Staff-level technical leader: define standards, architect solutions, mentor engineers, influence cross-team efforts, and construct reusable systems and practices that multiply your impact.</li>\n<li>Embed AI-first thinking into reliability practices, leveraging AI to streamline alert triage, accelerate incident investigation, automate runbooks, retrieve operational knowledge, enhance postmortem quality, track corrective actions, quantify reliability with scorecards, detect capacity risks, and analyze architectural risks.</li>\n<li>Maintain human ownership and engineering judgment at the center of operations. 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tooling, and reusable patterns that unlock reliability knowledge and enable action.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>7+ years in SRE, Software Engineering, or Infrastructure Engineering with increasing scope and cross-org influence.</li>\n<li>Track record of KPI-driven reliability and operational excellence improvements at scale.</li>\n<li>Demonstrated experience improving reliability and operational excellence at scale using clear KPIs.</li>\n<li>Shipped experience applying AI/LLMs to engineering or operational workflows.</li>\n<li>Significant expertise with SLIs, SLOs, error budgets, incident command, blameless postmortems, and recurrence prevention in large-scale distributed systems.</li>\n<li>Strong software engineering ability in Python, Go, or similar languages.</li>\n<li>Deep observability experience with systems such as Datadog, CloudWatch, OpenTelemetry, or similar platforms.</li>\n<li>Strong infrastructure-as-code and cloud infrastructure experience, including Terraform, Kubernetes, AWS, and safe, reversible deployment practices.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Base salary range: $252,000-$308,000, plus equity and benefits.</li>\n<li>Hybrid position in Mountain View (Headquarters) with in-office work 2 days a week.</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_56451346-da8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"EarnIn","sameAs":"https://earnin.com","logo":"https://logos.yubhub.co/earnin.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/earnin/jobs/8193516?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$252,000-$308,000","x-skills-required":["AI/LLMs","SLIs","SLOs","error budgets","incident 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Desktop","description":"<p>At Databricks, we enable data teams to solve complex problems by building and running the world&#39;s best data and AI infrastructure platform. Genie One is developing an AI coworker for business users, allowing them to ask questions, explore insights, and take action across web, mobile, and desktop applications.</p>\n<p>As a Staff Software Engineer on the Genie One Mobile &amp; Desktop team, you will define and deliver the technical foundations for this multi-surface experience, working at the intersection of Web UI, Mobile, Desktop, shared frontend infrastructure, and enterprise-grade authentication and governance.</p>\n<p><strong>The impact you will have</strong></p>\n<ul>\n<li>Set the technical direction for Genie One across web, native mobile, and desktop.</li>\n<li>Lead the delivery of customer-facing experiences on iOS, Android, macOS, and Windows, balancing web feature parity with native capabilities.</li>\n<li>Shape and execute the long-term product and engineering strategy for Genie One Mobile &amp; Desktop.</li>\n<li>Build reusable cross-surface primitives, contracts, and patterns with shared product capabilities.</li>\n<li>Improve the hybrid codebase by enhancing boundaries between web views, native shells, platform APIs, shared services, authentication, session management, and client-side state.</li>\n<li>Raise the bar for quality and operational excellence for Mobile &amp; Desktop: testing, release automation, telemetry, performance, security.</li>\n<li>Multiply team through technical leadership, mentoring, and hands-on contributions to key problems.</li>\n</ul>\n<p><strong>What we look for</strong></p>\n<ul>\n<li>8+ years of software engineering experience with a track record of shipping and operating customer-facing products at scale.</li>\n<li>Staff-level technical leadership: setting direction across teams, making durable architecture decisions, and driving complex projects.</li>\n<li>A hybrid product background spanning web UI, mobile, desktop, or shared frontend platforms.</li>\n<li>Strong experience with JavaScript or TypeScript, modern web frameworks like React, and mobile or desktop application development.</li>\n<li>Ability to navigate and improve a dynamic codebase spanning shared web code, React Native or native modules, desktop shells, webviews, backend APIs, and CI/CD.</li>\n<li>Experience building secure, reliable products involving authentication, session management, enterprise networking, permissions, sensitive data, and enterprise device/application management.</li>\n<li>Customer-focused, bias-to-action mindset and excellent communication skills.</li>\n</ul>\n<p><strong>Pay Range Transparency</strong></p>\n<p>The pay range for this role is $190,000-$261,250 USD. Actual compensation packages vary based on factors like job-related skills, experience, certifications, and specific work location.</p>\n<p><strong>Benefits</strong></p>\n<p>Databricks provides comprehensive benefits and perks that meet the needs of all employees. For specific details on the benefits offered in your region, click here.</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_f04b6166-8f7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://www.databricks.com/","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8692516002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$190,000-$261,250 USD","x-skills-required":["JavaScript","TypeScript","React","Mobile application development","Desktop application development","Authentication","Session management","Enterprise networking","Permissions","Sensitive data management"],"x-skills-preferred":[],"datePosted":"2026-09-10T12:12:03.291Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"JavaScript, TypeScript, React, Mobile application development, Desktop application development, Authentication, Session management, Enterprise networking, Permissions, Sensitive data management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":261250,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3e2187ee-c57"},"title":"Engineering Manager, App Traffic","description":"<p>Databricks is seeking an Engineering Manager to lead the App Traffic team, responsible for critical networking infrastructure that powers communication across the Databricks platform.</p>\n<p>The team builds and operates Databricks&#39; unified service mesh, including ingress, service discovery, service-to-service communication, traffic management, and intelligent routing across AWS, Azure, and Google Cloud.</p>\n<p>As the Engineering Manager for App Traffic, you will lead a team of strong infrastructure engineers, shape the technical roadmap, and drive execution across complex, cross-functional initiatives.</p>\n<p>The Impact You Will Have:</p>\n<ul>\n<li>Lead, grow, and develop a high-performing team of engineers responsible for Databricks&#39; application traffic infrastructure.</li>\n<li>Drive the design and evolution of highly available distributed systems operating across multiple clouds and regions.</li>\n<li>Partner with senior and staff engineers on architectural decisions involving routing, control planes, reliability, scalability, and developer experience.</li>\n<li>Lead large, ambiguous projects with dependencies across multiple engineering teams.</li>\n<li>Establish clear goals, milestones, ownership boundaries, and operating mechanisms that enable predictable execution.</li>\n<li>Balance immediate product and operational priorities with longer-term investments in architecture, reliability, and engineering velocity.</li>\n<li>Build strong partnerships with infrastructure and application teams.</li>\n<li>Recruit exceptional engineers and support the growth and development of engineers at all levels.</li>\n<li>Foster a culture of technical excellence, ownership, operational rigor, and continuous improvement.</li>\n</ul>\n<p>What We Look For:</p>\n<ul>\n<li>9+ years of professional experience in software engineering, with 2+ years of engineering leadership experience in a fast-paced, dynamic environment.</li>\n<li>Experience managing engineering teams working on distributed systems, networking infrastructure, cloud infrastructure, or platform infrastructure.</li>\n<li>Strong technical judgment and the ability to engage deeply with senior engineers on complex systems architecture.</li>\n<li>A track record of successfully leading large, ambiguous, cross-functional engineering initiatives.</li>\n<li>Strong understanding of reliability, scalability, performance, and operational excellence in production systems.</li>\n<li>Experience developing senior engineers and building high-performing teams.</li>\n<li>Ability to influence and align stakeholders across organizational boundaries.</li>\n<li>Strong written and verbal communication skills.</li>\n</ul>\n<p>Pay Range Transparency: Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. 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Lead will define the technical vision for a clean-core S/4HANA landscape, lead engineers, and architect the intelligent AI layer between SAP and the Databricks Data Intelligence Platform.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own the Technical Architecture: Define and own the end-to-end technical architecture for the S/4HANA landscape</li>\n<li>Lead the Extensibility Strategy: Define and own the extensibility strategy for SAP</li>\n<li>Drive Enterprise AI Integration: Drive a strong integration with ongoing Enterprise AI transformation within Databricks</li>\n<li>Design the Integration Fabric: Architect secure, resilient integration across SAP and non-SAP systems</li>\n<li>Unify SAP Data in the Lakehouse: Partner with data engineering on the technical patterns for landing SAP data in Databricks</li>\n<li>Set Engineering Standards: Establish CI/CD, automated testing, and transport/deployment pipelines for BTP artifacts</li>\n<li>Lead the Team: Mentor developers and 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archetype.</li>\n<li>Deep architectural and systems fluency, with a strong technical background and the ability to comfortably navigate complex engineering discussions involving distributed systems, large-scale data infrastructure, and environments like Scala.</li>\n<li>Demonstrated experience in structural change management, specifically driving a cultural shift from software procurement (RFPs) to native product building, engineering design, and fit-gap analysis.</li>\n<li>Exceptional executive presence and communication skills, with a track record of driving clarity out of extreme ambiguity and aligning VP- and C-level stakeholders on engineering trade-offs.</li>\n<li>Data-driven analytical mindset with an ability to leverage data analytics (SQL, Python, or data notebooks) to map system boundaries, quantify performance metrics, and establish program KPIs.</li>\n<li>Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Direct experience deploying GenAI, Large Language Models (LLMs), or autonomous agent-based capabilities inside enterprise platforms or customer-facing production workflows.</li>\n<li>Deep familiarity with the Databricks ecosystem (Lakehouse architecture, Unity Catalog, Mosaic AI, Delta Lake) or equivalent large-scale data and AI platforms.</li>\n<li>Experience guiding products through a full incubation lifecycle, successfully transitioning internal IT enterprise tooling into highly reliable, commercialized software assets ready for market.</li>\n</ul>\n<p><strong>Pay Range Transparency</strong></p>\n<p>Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.</p>\n<p>Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.</p>\n<p>Zone 1 Pay Range $222,500-$305,900 USD</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_7ae51e1e-beb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://www.databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8661359002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$222,500-$305,900 USD","x-skills-required":["Technical Program Management","Distributed Systems","Large-Scale Data Infrastructure","Scala","Data Analytics","SQL","Python"],"x-skills-preferred":["GenAI","Large Language Models (LLMs)","Autonomous Agent-Based Capabilities","Databricks Ecosystem","Lakehouse Architecture","Unity Catalog","Mosaic AI","Delta Lake"],"datePosted":"2026-08-01T14:08:09.315Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Technology","skills":"Technical Program Management, Distributed Systems, Large-Scale Data Infrastructure, Scala, Data Analytics, SQL, Python, GenAI, Large Language Models (LLMs), Autonomous Agent-Based Capabilities, Databricks Ecosystem, Lakehouse Architecture, Unity Catalog, Mosaic AI, Delta Lake","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":222500,"maxValue":305900,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_14337f79-4d7"},"title":"Sr. Forward Deployed Engineer (FDE) - Digital Native Business","description":"<p>As a Sr. Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data &amp; 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Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>6+ years of experience in data engineering, data platforms &amp; analytics, or software engineering.</li>\n<li>Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks.</li>\n<li>Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.</li>\n<li>Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals.</li>\n<li>Familiarity with CI/CD for production deployments.</li>\n<li>Working knowledge of MLOps, ML/AI models, and AI APIs.</li>\n<li>Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.</li>\n<li>Experience with technical project delivery - managing scope, timelines, and measurable outcomes, translating complex concepts into actionable solutions.</li>\n<li>Documentation and white-boarding skills.</li>\n<li>Experience working with enterprise clients and managing conflicts across a broad stakeholder range.</li>\n<li>Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.</li>\n<li>Travel to customers 20% of the time.</li>\n</ul>\n<p>The pay range for this role is $182,000-$250,208 USD.</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_14337f79-4d7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://www.databricks.com/","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8647743002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$182,000-$250,208 USD","x-skills-required":["Python","Scala","JavaScript/TypeScript","Apache Spark","Cloud ecosystems (AWS, Azure, GCP)","CI/CD","MLOps","ML/AI models","AI APIs","Data engineering","Data platforms & analytics","Software engineering"],"x-skills-preferred":[],"datePosted":"2026-07-24T10:06:58.215Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Scala, JavaScript/TypeScript, Apache Spark, Cloud ecosystems (AWS, Azure, GCP), CI/CD, MLOps, ML/AI models, AI APIs, Data engineering, Data platforms & analytics, Software engineering","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":182000,"maxValue":250208,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ec1fa028-382"},"title":"Staff Software Engineer- CXI","description":"<p>At Databricks, we&#39;re passionate about enabling data teams to solve the world&#39;s toughest problems , from advancing the future of transportation to accelerating medical breakthroughs.</p>\n<p>As the Staff Software Engineer for Customer Experience Intelligence, you will architect and deliver Databricks&#39; 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href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_80eeba00-2fb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8635182002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$198,200-$272,600 USD","x-skills-required":["LLM-powered systems","software engineering","human in the loop system design","content systems","publishing pipelines","web infrastructure"],"x-skills-preferred":[],"datePosted":"2026-07-16T07:16:48.276Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"LLM-powered systems, software 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CI/CD pipelines, deployment automation, secrets management, and edge delivery configurations that power all of databricks.com</li>\n<li>Own accessibility testing in CI, bringing automated a11y validation into the deployment pipeline so accessibility is enforced at every release rather than caught after the fact</li>\n<li>Contribute to tech stack unification: consolidating a fragmented set of frameworks and deployment models onto a shared design system and unified deployment foundation</li>\n<li>Operate in an AI native SDLC where agents assist across code generation, testing, and deployment, building faster and more reliably alongside them</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>8+ years of software engineering experience with a track record of shipping and operating production web infrastructure</li>\n<li>Strong expertise across web platform infrastructure including CI/CD, deployment pipelines, build systems, and edge delivery</li>\n<li>Familiarity with accessibility standards and experience integrating automated a11y testing into CI pipelines is a strong plus</li>\n<li>Ability to own a platform infrastructure domain end to end and drive it to production under Staff direction</li>\n<li>Experience with tech stack consolidation or framework migration on live production systems is a strong plus</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_7e1e889a-27d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8635216002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$159,900-$219,900 USD","x-skills-required":["software engineering","web 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data teams to solve the world&#39;s toughest problems , from advancing the future of transportation to accelerating medical breakthroughs.</p>\n<p>As a Sr. Backend Software Engineer for Customer Experience Intelligence (CXI), you will architect and deliver Databricks&#39; AI-native vertical workflow platform. CXI is building intelligent systems that orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows.</p>\n<p><strong>The Impact You Will Have</strong></p>\n<ul>\n<li>Architect the Agentic Ecosystem: Contribute to the technical vision, core infrastructure, and backend architecture for Databricks&#39; next-generation Enterprise Agentic Framework.</li>\n<li>Scale across multiple domains: Build a vertical modular, multi-tenant agent platform initially optimized for Customer Support, but natively designed to expand into other domains such as IT, Security, Compliance, Marketing, HR, Legal and all ticket based workflows across the company.</li>\n<li>Engineered Reliability: Drive rapid, iterative backend development while upholding strict quality, safety, throughput, and reliability standards for agentic-based systems.</li>\n<li>Orchestrate Complex Workflows: Design state-machine and agentic workflows that seamlessly evolve from human-in-the-loop validation to fully automated execution.</li>\n<li>Enterprise-Grade Observability: Implement robust backend tracing, logging, transparency, and safe execution including instant rollback mechanisms for critical AI-driven business decisions.</li>\n<li>Cross-Functional Leadership: Act as a technical liaison between CXI, Product, Platform Engineering, and business stakeholders across various organizations to unblock dependencies and align roadmaps.</li>\n<li>Raise the Bar: Set a high engineering bar for backend code quality, system performance, and architectural maintainability in line with Databricks standards.</li>\n<li>Mentor and Cultivate: Mentor engineers and subject matter experts (SMEs) across Software, Support, and internal operations teams.</li>\n</ul>\n<p><strong>What We Look For</strong></p>\n<ul>\n<li>BS or higher degree in Computer Science or a related engineering field.</li>\n<li>Extensive backend development experience designing, building, and maintaining high-throughput production systems.</li>\n<li>Proven success deploying enterprise-grade backend infrastructure, microservices, and robust APIs in highly complex environments.</li>\n<li>Deep familiarity with distributed systems, data platforms, and handling large-scale internal or external traffic.</li>\n<li>Hands-on experience with ML-assisted backend systems, LLM orchestration frameworks, state machines, or agentic automation.</li>\n<li>Strong understanding of multi-cloud environments (AWS, Azure, GCP) alongside enterprise compliance, data privacy, and security constraints.</li>\n</ul>\n<p><strong>Pay Range Transparency</strong></p>\n<p>Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.</p>\n<p>Local Pay Range $164,200-$225,700 USD</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_a2bb3c15-66c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://www.databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8617901002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$164,200-$225,700 USD","x-skills-required":["backend development","high-throughput production systems","enterprise-grade backend infrastructure","microservices","robust APIs","distributed systems","data platforms","ML-assisted backend systems","LLM orchestration frameworks","state machines","agentic automation","multi-cloud environments"],"x-skills-preferred":[],"datePosted":"2026-07-16T07:14:56.121Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"backend development, high-throughput production systems, enterprise-grade backend infrastructure, microservices, robust APIs, distributed systems, data platforms, ML-assisted backend systems, LLM orchestration frameworks, state machines, agentic automation, multi-cloud environments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":164200,"maxValue":225700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b5243845-60e"},"title":"Sr Product Manager, Employee Experience","description":"<p><strong>Sr Product Manager, Employee Experience</strong></p>\n<p>Location: San Francisco, CA or Mountain View, CA</p>\n<p>GAQ426R322</p>\n<p>About Databricks</p>\n<p>At Databricks, our mission is to help data teams solve the world’s toughest problems and that starts with empowering our own employees. The Databricks IT organisation is a product-led team that builds intelligent, scalable systems to make every Brickster’s workday simpler, faster, and more connected. We’re reimagining how employees and managers interact with internal tools; designing a unified, AI-driven experience that integrates data, insights, and workflows across the company.</p>\n<p>We’re looking for a Senior Product Manager (L5) to lead strategy and delivery for our newly formed People Pod. This role is a &quot;zero to one&quot; initiative focused on building next-generation agentic workflows on top of Databricks to fundamentally enhance internal employee experience tools and extend capabilities far beyond traditional systems like Workday.</p>\n<p>The Opportunity</p>\n<p>Managers and employees at Databricks interact with dozens of systems every week, from Workday to performance and onboarding tools, often switching contexts and duplicating effort. This team is responsible for defining and delivering product vision to simplify and unify the employee experience, designing an integrated, intelligent automation layer that sits on top of our systems of record to surface the right tasks, insights, and actions in one place.</p>\n<p>As the Product Manager for the People Pod, you will own a highly visible, zero-to-one product area, driving product thought leadership to shape how Databricks scales its internal workforce lifecycle through advanced automation and specialist domain applications.</p>\n<p><strong>What You’ll Do</strong></p>\n<ul>\n<li>Own the Zero-to-One Vision: Define and evolve the long-term strategy for the unified employee and manager experience, specifically focusing on advanced agentic workflows and automation tailored to the People function.</li>\n</ul>\n<ul>\n<li>Drive Product Strategy &amp; Automation: Partner closely with developers, engineering teams, and stakeholders across People Operations and IT to design, build, and deploy intelligent agentic automation workflows on the Databricks platform.</li>\n</ul>\n<ul>\n<li>Domain Leadership: Serve as the primary product leader specializing in talent acquisition, hiring processes, and performance management workflows, transforming standard internal tools into highly optimized, automated experiences.</li>\n</ul>\n<ul>\n<li>Execute and Measure: Define success metrics (adoption, efficiency, engagement, automation accuracy) and use data-driven insights to guide rapid iteration and development within an evolving field.</li>\n</ul>\n<ul>\n<li>Influence and Collaborate: Report directly to VP of Product in IT and work cross-functionally to align engineering, design, and senior leadership around the automated product vision, evangelizing the roadmap in company-wide productivity and AI discussions.</li>\n</ul>\n<p><strong>What You Bring</strong></p>\n<ul>\n<li>5+ years of product management experience, with a proven track record leading specialized, highly technical, or zero-to-one enterprise and internal product initiatives.</li>\n</ul>\n<ul>\n<li>Specialist Domain Expertise: Deep background in human resources and people-process functions, specifically with concrete experience in hiring, talent acquisition, employee experience and performance management.</li>\n</ul>\n<ul>\n<li>Agentic Automation &amp; Advanced AI: Hands-on experience or a strong technical understanding of agentic automation, LLM orchestration, and modern AI-driven workflows to streamline operational bottlenecks.</li>\n</ul>\n<ul>\n<li>Strategic &amp; Product Thought Leadership: Demonstrated ability to own a product domain end-to-end, linking automation outcomes directly to corporate scaling and employee experience goals.</li>\n</ul>\n<ul>\n<li>Technical &amp; Data Fluency: Strong understanding of building on advanced data platforms, user-centered design, data-informed development, and modern enterprise governance practices (e.g., RBAC/ABAC).</li>\n</ul>\n<ul>\n<li>Ambiguity Champion: Highly comfortable leading through extreme ambiguity, managing complex stakeholder landscapes, and collaborating directly with engineering pods to build applications from scratch.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience developing custom productivity applications or automation layers on data platforms (such as Databricks).</li>\n</ul>\n<ul>\n<li>Familiarity with enterprise HR ecosystems like Workday, ServiceNow, or similar core systems of record, specifically regarding their API limitations and integration surfaces.</li>\n</ul>\n<p><strong>Why You’ll Love This Role</strong></p>\n<p>This is an opportunity to build one of Databricks’ most visible and innovative internal products, touching every employee and manager. You’ll define how the company experiences its own culture, systems, and data, while shaping a product that directly leverages Databricks’ own bleeding-edge technology. You’ll have the autonomy to create the future of how Databricks works, operating in a highly strategic environment with a direct line to leadership.</p>\n<p><strong>Pay Range Transparency</strong></p>\n<p>Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.</p>\n<p>Zone 1 Pay Range$145,000-$199,300 USD</p>\n<p><strong>Benefits</strong></p>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.</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_b5243845-60e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8203285002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$145,000-$199,300 USD","x-skills-required":["product management","agentic automation","AI","data platforms","user-centered design","enterprise governance"],"x-skills-preferred":["custom productivity applications","automation layers","enterprise HR ecosystems","Workday","ServiceNow"],"datePosted":"2026-06-24T17:08:34.943Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Technology","skills":"product management, agentic automation, AI, data platforms, user-centered design, enterprise governance, custom productivity applications, automation layers, enterprise HR ecosystems, Workday, ServiceNow","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":145000,"maxValue":199300,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ab7ba7b8-dff"},"title":"Software Engineer, Web Products","description":"<p><strong>Software Engineer, Web Products</strong></p>\n<p>The Web Engineering team at Databricks builds and owns public-facing web experiences. As a Software Engineer on this team, you will build and ship production-quality web experiences across Databricks properties on an AI-native platform.</p>\n<p><strong>The Impact You&#39;ll Have</strong></p>\n<ul>\n<li>Build and ship web experiences across databricks.com, including landing pages, blogs, hubs, and event properties.</li>\n<li>Implement components and page systems using a shared design system.</li>\n<li>Operate in an AI-native SDLC where agents assist with code generation, testing, and deployment.</li>\n<li>Contribute to ensuring databricks.com surfaces are structured and optimized for web discovery and consumption.</li>\n<li>Participate in code reviews and establish rigorous AI-native engineering execution.</li>\n</ul>\n<p><strong>What We Look For</strong></p>\n<ul>\n<li>4+ years of software engineering experience with production web systems.</li>\n<li>Strong fundamentals across the web stack, including component architecture and deployment pipelines.</li>\n<li>Experience with content management systems like Drupal or Contentful.</li>\n<li>Comfort with AI-native development tools.</li>\n<li>Ability to drive well-scoped problems to completion.</li>\n<li>Familiarity with headless CMS architectures or modern frontend frameworks is a plus.</li>\n</ul>\n<p><strong>Pay Range Transparency</strong></p>\n<p>The pay range for this role is:</p>\n<ul>\n<li>Zone 1 Pay Range: $136,300-$187,450 USD</li>\n<li>Local Pay Range: $136,300-$204,500 USD</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>Databricks provides comprehensive benefits and perks. For specific details, visit the company&#39;s benefits page.</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_ab7ba7b8-dff","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8560779002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Zone 1 Pay Range: $136,300-$187,450 USD\nLocal Pay Range: $136,300-$204,500 USD","x-skills-required":["software engineering","web development","AI-native development tools","content management systems","component architecture"],"x-skills-preferred":["headless CMS architectures","modern frontend frameworks"],"datePosted":"2026-06-24T17:07:27.339Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, web development, AI-native development tools, content management systems, component architecture, headless CMS architectures, modern frontend frameworks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":136300,"maxValue":204500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_72279817-d7d"},"title":"Sr. Manager, Engineering - Search","description":"<p>At Databricks, we enable data teams to solve complex problems by building and running the world&#39;s best data and AI infrastructure platform.</p>\n<p>As a Senior Engineering Manager for Search, you&#39;ll play a critical role in building and scaling our next-generation Search product, spanning Vector Search, Keyword Search, and Search Quality.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead a team of talented software engineers to design, build, and operate the next-generation cloud-native Search services.</li>\n<li>Drive innovation across Vector Search, Keyword Search, and Hybrid Search capabilities to improve relevance, latency, and cost efficiency.</li>\n<li>Build a strong partnership with product and research teams to define the roadmap for Search Quality, including ranking models and evaluation frameworks.</li>\n<li>Manage and operate large-scale, highly-available services in the cloud.</li>\n<li>Grow and mentor engineers and emerging leaders through coaching, feedback, and development opportunities.</li>\n<li>Shape and execute the long-term product and engineering strategy for Search.</li>\n<li>Partner cross-functionally with teams across Databricks to ensure the Search platform serves as a core enabler for AI and data applications.</li>\n<li>Foster a culture of technical excellence, accountability, and empathy.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>5+ years of experience in search, database systems, or AI/ML infrastructure.</li>\n<li>Proven track record of building and scaling highly-available cloud services.</li>\n<li>Strong leadership experience , building, growing, and managing high-performing engineering teams.</li>\n<li>Experience defining and meeting SLOs for distributed, production-grade systems.</li>\n<li>Solid understanding of search and indexing systems (e.g., Elasticsearch, Lucene, or vector databases).</li>\n<li>Familiarity with database internals or large-scale data processing systems.</li>\n<li>BS in Computer Science (Masters or PhD Preferred).</li>\n</ul>\n<p>Pay Range Transparency: The pay range for this role is $222,000-$300,000 USD.</p>\n<p>Benefits: Comprehensive benefits and perks that meet the needs of all employees.</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_72279817-d7d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://www.databricks.com/","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/7959180002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$222,000-$300,000 USD","x-skills-required":["search","database systems","AI/ML infrastructure","cloud services","leadership","Elasticsearch","Lucene","vector databases"],"x-skills-preferred":["Masters or PhD in Computer Science"],"datePosted":"2026-06-18T13:38:10.421Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"search, database systems, AI/ML infrastructure, cloud services, leadership, Elasticsearch, Lucene, vector databases, Masters or PhD in Computer Science","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":222000,"maxValue":300000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8bc09e5f-f62"},"title":"Senior Staff Applied AI Engineer - Context Retrieval","description":"<p>At Databricks, we are passionate about enabling data teams to solve the world&#39;s toughest problems , from making the next mode of transportation a reality to accelerating the development of medical breakthroughs.</p>\n<p>The Mission Databricks agents are only as good as the context they can retrieve. Whether an agent is answering a question about last quarter&#39;s revenue, debugging a failing job, generating SQL against a 10,000-table lakehouse, or summarising a Wiki page, its quality is bounded by what it can find , and how well it understands what it finds.</p>\n<p>We are hiring a Senior Staff Applied AI Engineer to own context retrieval for Databricks agents across SaaS providers. This is a zero-to-one role with two deeply connected charters:</p>\n<ul>\n<li>Build the retrieval stack , query understanding, content understanding, ranking, retrieval, and evaluation , across the Enterprise SaaS data stored across multiple systems.</li>\n<li>Build the search subagents that sit on top of that stack and reason about what context is needed, how to retrieve it, and whether the right thing actually came back , closing the loop between an agent&#39;s intent and the substrate that serves it.</li>\n</ul>\n<p>If you have deep Information Retrieval wisdom, have shipped retrieval systems for RAG and agentic workloads, and want to build the substrate , and the agents on top of it , that make every Databricks agent measurably smarter, this role is for you.</p>\n<p><strong>What You Will Do</strong></p>\n<ul>\n<li>Build the full retrieval stack from scratch. Own the end-to-end system: query understanding, content understanding and indexing, hybrid retrieval, ranking, and evaluation. Make the architectural calls that will define how Databricks agents access context for years to come.</li>\n<li>Retrieve across heterogeneous data , structured and unstructured. Index and rank across structured assets (tables, columns, SQL queries, dashboards, code, notebooks, jobs) and unstructured content (docs, wikis, tickets, chat, images, video, audio). Each modality has its own signals , design retrieval that exploits them rather than flattens them.</li>\n<li>Connect to the SaaS surface area customers actually use. Build connectors and retrieval adapters for the systems where enterprise knowledge lives. Treat each retrieval source with its own freshness, permissions, and ranking signals.</li>\n<li>Optimise for two consumers at once. Retrieval must serve both LLMs (grounded, token-efficient, hallucination-resistant context) and humans (intuitive, explainable discovery). These are different objectives and require different signals , own both.</li>\n<li>Crack query understanding for agents. Agent queries don&#39;t look like web queries. Build query rewriting, decomposition, intent classification, and entity resolution tuned for multi-turn agentic workflows.</li>\n<li>Crack content understanding at scale. Build the pipelines that extract structure, entities, embeddings, summaries, and metadata from every supported asset type , and keep them fresh as customer data evolves.</li>\n<li>Build search subagents that reason about retrieval. Design the agentic layer that decides what context is needed, which sources to query, how to decompose and route the search, and , critically , whether the retrieved content is actually sufficient to answer the question. These subagents will plan multi-hop searches, issue follow-up queries when results are weak, ground claims against retrieved evidence, and hand back high-confidence context (or signal failure) to upstream agents. This is where IR meets agentic reasoning.</li>\n<li>Build the evaluation flywheel for both retrieval and subagents. Stand up offline evals (nDCG, MRR, Recall@K, Precision@K), LLM-as-judge harnesses, human-in-the-loop labelling, and online experimentation. Extend evaluation beyond ranking metrics to measure subagent decision quality , did it ask the right follow-up?, did it correctly recognise when retrieval failed?, did it ground its answer in the right evidence?. Quality you can&#39;t measure is quality you can&#39;t ship.</li>\n<li>Set technical direction and grow the team. Set the multi-year roadmap, mentor senior engineers, partner with Research, Product, and Platform leaders, and raise the technical bar across the org.</li>\n</ul>\n<p><strong>What We&#39;re Looking For</strong></p>\n<ul>\n<li>10+ years of software engineering experience, with significant time spent building production retrieval, search, or RAG systems at scale.</li>\n<li>Deep Information Retrieval (IR) expertise: lexical retrieval (BM25, Lucene/Elasticsearch/OpenSearch), dense retrieval (embeddings, ANN indexes , FAISS, ScaNN, HNSW), hybrid retrieval, and learning-to-rank.</li>\n<li>Hands-on experience with modern LLM-era retrieval: RAG architectures, query rewriting, re-ranking with cross-encoders, long-context strategies, and grounding techniques that reduce hallucination.</li>\n<li>Experience designing agentic systems on top of retrieval , search planners, multi-hop / iterative retrieval, self-reflection and sufficiency checks, tool-using agents that decide what to fetch and verify what came back.</li>\n<li>Strong grasp of relevance evaluation: nDCG, MRR, Precision@K, Recall@K; offline/online experimentation; LLM-as-judge frameworks; building human labelling pipelines.</li>\n<li>Experience working across structured and unstructured data , you&#39;ve indexed and ranked over tables, code, and documents in the same system, and have opinions about how to do it well.</li>\n<li>Track record of building 0→1: you&#39;ve stood up a retrieval system from an empty repo, made the foundational architectural decisions, and grown it into something that customers depend on.</li>\n<li>Demonstrated ability to operate as a technical leader: setting direction across teams, mentoring senior engineers, and influencing roadmap with research, product, and platform partners.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience building retrieval over enterprise SaaS sources (permissions, freshness, multi-tenancy, ACL-aware indexing).</li>\n<li>Background in agentic systems, tool use, or multi-turn retrieval for LLM agents.</li>\n<li>Contributions to open-source IR/search projects, or publications at SIGIR, KDD, WWW, EMNLP, or similar venues.</li>\n<li>Experience training or fine-tuning embedding models, rerankers, or query understanding models.</li>\n</ul>\n<p><strong>Why This Role</strong></p>\n<ul>\n<li>Foundational impact. Retrieval is the single biggest lever on agent quality. The stack you build will sit underneath every Databricks agent and every customer-built agent on our platform.</li>\n<li>Greenfield with scale. You get the rare combination of starting from a clean sheet and having immediate access to massive enterprise scale, real customer data, and a world-class research org.</li>\n<li>The right team. You&#39;ll work alongside engineers and researchers behind Lakehouse, Apache Spark, Delta Lake, MLflow, MosaicML, and DBRX.</li>\n</ul>\n<p><strong>Location</strong></p>\n<p>This role is based in our Mountain View, CA or San Francisco, CA office. Hybrid in-office collaboration expected.</p>\n<p><strong>Pay Range Transparency</strong></p>\n<p>Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilising the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.</p>\n<p>Local Pay Range $228,600-$342,800 USD</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_8bc09e5f-f62","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8540267002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$228,600-$342,800 USD","x-skills-required":["Information Retrieval","lexical retrieval","dense retrieval","hybrid retrieval","learning-to-rank","RAG architectures","query rewriting","re-ranking with cross-encoders","long-context strategies","grounding techniques","agentic systems","search planners","multi-hop / iterative retrieval","self-reflection and sufficiency checks","tool-using agents","relevance evaluation","nDCG","MRR","Precision@K","Recall@K","LLM-as-judge frameworks","human labelling pipelines"],"x-skills-preferred":["Experience building retrieval over enterprise SaaS sources","Background in agentic systems, tool use, or multi-turn retrieval for LLM agents","Contributions to open-source IR/search projects","publications at SIGIR, KDD, WWW, EMNLP","Experience training or fine-tuning embedding models, rerankers, or query understanding models"],"datePosted":"2026-06-18T13:37:35.382Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Information Retrieval, lexical retrieval, dense retrieval, hybrid retrieval, learning-to-rank, RAG architectures, query rewriting, re-ranking with cross-encoders, long-context strategies, grounding techniques, agentic systems, search planners, multi-hop / iterative retrieval, self-reflection and sufficiency checks, tool-using agents, relevance evaluation, nDCG, MRR, Precision@K, Recall@K, LLM-as-judge frameworks, human labelling pipelines, Experience building retrieval over enterprise SaaS sources, Background in agentic systems, tool use, or multi-turn retrieval for LLM agents, Contributions to open-source IR/search projects, publications at SIGIR, KDD, WWW, EMNLP, Experience training or fine-tuning embedding models, rerankers, or query understanding models","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":228600,"maxValue":342800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_31c9eb25-84b"},"title":"Staff Analytics, Product & Marketing","description":"<p>We are seeking a Staff Analyst to partner closely with the CMO and product leadership to drive user growth and engagement. This leader will shape and drive the analytics strategy, mentor and develop the team, and collaborate cross-functionally with Marketing, Product, and Engineering to translate business needs into actionable insights.</p>\n<p>The primary goal of this position is to architect and build agentic workflows that transform how analytics operates: design AI-driven pipelines that work autonomously, surface insights proactively, and scale decision-making across the organization. You bring both the strategic vision to see where automation unlocks the most value, and the hands-on depth to get into the data and build it yourself.</p>\n<p>The Mountain View base salary range for this full-time position is $215,000 to $263,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Mountain View, requiring in-office work 2 days a week.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Collaborate with Product, Engineering, Marketing, and cross-functional partners to inform, influence, and execute strategy across product and growth surfaces.</li>\n<li>Build AI-driven analytics agents that automate workflows such as experimentation readouts, funnel diagnostics, anomaly detection, and business reviews, and partner with Engineering to productionize these systems at scale.</li>\n<li>Develop and maintain experimentation, causal measurement, and product analytics frameworks that support acquisition, activation, engagement, retention, monetization, and LTV.</li>\n<li>Design and implement measurement and modeling approaches across paid, owned, and product surfaces, using uplift modeling, causal inference, and experimentation rigor (MMM optional).</li>\n<li>Develop a deep understanding of complex product and marketing systems to identify opportunities, risks, and levers for growth.</li>\n<li>Communicate insights clearly to technical and non-technical audiences, influencing product and marketing roadmaps through data, modeling, and AI-driven insights.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>7+ years in analytics, data science with deep hands-on execution.</li>\n<li>Strong technical skills in SQL, Python, experimentation, and statistical modeling.</li>\n<li>Experience building AI-driven analytics workflows (LLMs, agents, automation, or similar).</li>\n<li>Solid background in product and growth analytics across activation, engagement, retention, and monetization.</li>\n<li>Experience with causal inference, uplift modeling, and experimentation frameworks.</li>\n<li>Ability to operate as a high-leverage IC who partners closely with executives and cross-functional leaders.</li>\n<li>Excellent communication and storytelling skills for technical and non-technical audiences.</li>\n<li>Experience in fintech, consumer tech, or data-driven product organizations is a plus.</li>\n<li>Familiarity with modern data stacks (Databricks, Snowflake, dbt, Amplitude, Looker) is a plus.</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_31c9eb25-84b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"EarnIn","sameAs":"https://earnin.com","logo":"https://logos.yubhub.co/earnin.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/earnin/jobs/8001075?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$215,000 to $263,000","x-skills-required":["SQL","Python","experimentation","statistical modeling","AI-driven analytics workflows","product and growth analytics","causal inference","uplift modeling","experimentation frameworks"],"x-skills-preferred":["familiarity with modern data stacks (Databricks, Snowflake, dbt, Amplitude, Looker)","experience in fintech, consumer tech, or data-driven product organizations"],"datePosted":"2026-06-18T13:36:41.546Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Data Science","industry":"Fintech","skills":"SQL, Python, experimentation, statistical modeling, AI-driven analytics workflows, product and growth analytics, causal inference, uplift modeling, experimentation frameworks, familiarity with modern data stacks (Databricks, Snowflake, dbt, Amplitude, Looker), experience in fintech, consumer tech, or data-driven product organizations","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":215000,"maxValue":263000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_52a7f368-a63"},"title":"Staff Data Scientist - Infrastructure","description":"<p>At Databricks, we are obsessed with enabling data teams to solve the world&#39;s toughest problems.</p>\n<p>As a Staff Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by working on top priorities for the company.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Inform decision making by building robust data science tooling for business leaders, analysts, and other data scientists.</li>\n<li>Work closely with Data Platform and Product Engineering teams to integrate data science tooling with existing Data team offerings and the core product.</li>\n<li>Lead insight generation for top company priorities and key Engineering initiatives.</li>\n<li>Gather changing requirements, define project OKRs and milestones, and communicate progress and results to both technical and non-technical audiences.</li>\n<li>Mentor and guide junior data scientists on the team.</li>\n<li>Represent the data science discipline throughout the organization.</li>\n<li>Represent Databricks at academic and industrial conferences &amp; events.</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>7+ years of data science, machine learning, advanced analytics experience in high-velocity, high-growth companies.</li>\n<li>Extensive experience in applying Data Science / ML in production to build data-driven products for solving business problems.</li>\n<li>Experience collaborating with and understanding the needs of Senior-level stakeholders from various functions.</li>\n<li>Ability to deal with ambiguity in fast-paced environments.</li>\n<li>Adept at operating both as an individual contributor and identifying how to orchestrate the build through peers and investments in scalable tooling.</li>\n<li>Strong coding skills in Python and SQL.</li>\n<li>Experience with distributed data processing systems like Spark and familiarity with software engineering principles.</li>\n<li>M.S. or Ph.D. in quantitative fields.</li>\n</ul>\n<p>Pay Range Transparency: The pay range for this role is $192,000-$260,000 USD.</p>\n<p>Benefits: Databricks strives to provide comprehensive benefits and perks that meet the needs of all employees.</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_52a7f368-a63","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://www.databricks.com/","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/7069793002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$192,000-$260,000 USD","x-skills-required":["Python","SQL","Spark","Data Science","Machine Learning","Distributed Data Processing"],"x-skills-preferred":[],"datePosted":"2026-06-18T13:35:47.066Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Technology","skills":"Python, SQL, Spark, Data Science, Machine Learning, Distributed Data Processing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":192000,"maxValue":260000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8f557f15-b07"},"title":"Senior Staff Software Engineer - IAM","description":"<p>At Databricks, we are obsessed with enabling data teams to solve the world&#39;s toughest problems, from security threat detection to cancer drug development.</p>\n<p>We do this by building and running the world&#39;s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.</p>\n<p>Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.</p>\n<p>Customers trust Databricks with their most valuable data and Trust &amp; Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust &amp; Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services</li>\n<li>Attract top talent from across the industry</li>\n<li>Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven</li>\n<li>Represent Databricks at academic and industry conferences &amp; events</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>9+ years of experience in Data Security or related areas and expertise in two or more of the following -- Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection &amp; Response. Experience building systems at large scale internet companies is a huge plus</li>\n<li>15+ years of experience building large scale distributed systems with high availability</li>\n<li>Leadership skills and experience to lead across functional and organizational lines</li>\n<li>Strong communication skills to explain and evangelize Data Security to senior leaders across the company</li>\n<li>Bias to action and passion for delivering high-quality solutions</li>\n<li>MS or Ph.D. in Computer Science or related fields</li>\n</ul>\n<p>Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.</p>\n<p>Local Pay Range $232,000-$313,000 USD</p>\n<p>Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.</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_8f557f15-b07","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://www.databricks.com/","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/7274563002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$232,000-$313,000 USD","x-skills-required":["Data Security","Cryptography","Kubernetes Security","Web Security","Governance","Privacy","Trust","Safety","Authentication","Identity Management","Access Control","Key Management","Inter-Service Authentication","Secure Application Frameworks","Detection & Response","Computer Science"],"x-skills-preferred":[],"datePosted":"2026-06-18T13:35:41.052Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Data Security, Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response, Computer Science","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":232000,"maxValue":313000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5e1c19e4-20d"},"title":"Sr Staff Product Operations Manager","description":"<p>Databricks is seeking a Senior Staff Product Operations Manager to serve as the chief architect of our internal operational ecosystem.</p>\n<p>This is a high-leverage leadership role embedded within Engineering, designed to orchestrate the complex intersection of technical innovation, product lifecycle maturity, and global Go-to-Market (GTM) acceleration.</p>\n<p>In this capacity, you will move beyond the management of existing processes to lead the creation of a formal Operational Association.</p>\n<p>You will be responsible for designing the high-fidelity frameworks that allow our engineering organization to remain agile while ensuring that every product investment is data-driven, transparent, and rigorously aligned with our long-term commercial strategy.</p>\n<p><strong>Impact</strong></p>\n<ul>\n<li>Operational Orchestration: Define and govern the strategic engagement model between Engineering, Product, and GTM, ensuring that product lifecycle milestones are seamlessly integrated with field readiness and revenue velocity.</li>\n<li>Investment Intelligence: Act as a critical advisor to executive leadership, applying a consultant’s rigor to evaluate business investments.</li>\n<li>Synthesis of Ambiguity: Transform disparate, multi-dimensional data signals from across the organization into coherent business insights.</li>\n<li>Systems Transformation: Lead the evolution of our product development lifecycle (PDLC).</li>\n<li>Strategic Connective Tissue: Serve as the authoritative bridge between the &#39;How&#39; of technical execution and the &#39;Why&#39; of business value.</li>\n</ul>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Act as the connective tissue between Support, Product, Engineering, and Analytics to drive operational alignment, product readiness, and continuous improvement across support workflows.</li>\n<li>Lead and execute strategic initiatives to scale global Support operations.</li>\n<li>Translate operational pain points into product and tooling requirements.</li>\n<li>Build and maintain dashboards that measure support effectiveness.</li>\n<li>Support quarterly and annual planning cycles.</li>\n<li>Influence senior stakeholders by turning support and operational insights into clear, data-driven narratives.</li>\n</ul>\n<p><strong>What We Look For</strong></p>\n<ul>\n<li>Professional Experience: Minimum of 9 years of professional experience in Management Consulting, Product Strategy, Technical Program Management, or Operations within the technology sector.</li>\n<li>Bachelor’s degree in a technical, mathematical, or analytical field.</li>\n<li>Demonstrated experience in designing and scaling operational frameworks or internal software systems within a high-growth SaaS or enterprise technology environment.</li>\n<li>Expert-level ability to navigate large, complex datasets using SQL-based tools and Business Intelligence (BI) platforms.</li>\n<li>Proven track record of leading high-stakes, multi-quarter initiatives involving diverse cross-functional teams.</li>\n<li>Exceptional ability to synthesize complex technical concepts into clear, actionable business strategies for non-technical executive audiences.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Familiarity with Databricks tools.</li>\n<li>Experience working on Support Operations for SaaS based companies.</li>\n<li>Familiarity with tools like Salesforce, Zendesk, Jira, Looker/Tableau.</li>\n</ul>\n<p><strong>Pay Range Transparency</strong></p>\n<p>The pay range(s) for this role is $199,700-$274,550 USD.</p>\n<p><strong>Benefits</strong></p>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.</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_5e1c19e4-20d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://www.databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8524420002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$199,700-$274,550 USD","x-skills-required":["SQL","Business Intelligence","Management Consulting","Product Strategy","Technical Program Management","Operations"],"x-skills-preferred":["Databricks tools","Support Operations","Salesforce","Zendesk","Jira","Looker/Tableau"],"datePosted":"2026-06-18T13:34:39.758Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"SQL, Business Intelligence, Management Consulting, Product Strategy, Technical Program Management, Operations, Databricks tools, Support Operations, Salesforce, Zendesk, Jira, Looker/Tableau","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":199700,"maxValue":274550,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3339411e-b55"},"title":"Senior Software Engineer - Fullstack","description":"<p>We are looking for a passionate and experienced Senior Full-Stack Software Engineer to join our dynamic team.</p>\n<p>Our GenAI observability and quality product provides advanced monitoring and insights for GenAI systems, giving customers real-time visibility into their system&#39;s performance, along with a suite of tools to improve the quality of the GenAI systems.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li>Full-Stack Development: Design, develop, and maintain both front-end and back-end components of our web applications.</li>\n<li>UI/UX Design: Collaborate with design teams to create visually appealing, user-friendly, and accessible UI/UX.</li>\n<li>Backend API Development: Architect, design, and implement RESTful APIs and microservices to support the application.</li>\n<li>Collaboration &amp; Mentorship: Work closely with cross-functional teams including product managers, designers, and other engineers.</li>\n<li>Product Sense: Contribute to product strategy by offering insights based on technical feasibility and user experience considerations.</li>\n<li>Code Quality &amp; Testing: Write clean, maintainable, and well-documented code.</li>\n<li>Performance Optimization: Continuously monitor and optimize performance, both for the front-end and back-end.</li>\n<li>Agile Development: Participate in agile ceremonies, including sprint planning, standups, retrospectives, and code reviews.</li>\n</ul>\n<p><strong>What We Look For</strong></p>\n<ul>\n<li>5+ years of experience with HTML, CSS, and JavaScript.</li>\n<li>Passion for user experience and design and a deep understanding of front-end architecture.</li>\n<li>Comfortable working towards a multi-year vision with incremental deliverables.</li>\n<li>Motivated by delivering customer value.</li>\n<li>Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember).</li>\n<li>5+ years of experience with server-side web technologies (eg: Java, Python, Scala, Go).</li>\n<li>Good knowledge of SQL.</li>\n<li>Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.</li>\n<li>Experience developing large-scale distributed systems.</li>\n</ul>\n<p><strong>Why Join Us?</strong></p>\n<ul>\n<li>Work on AI-powered features that directly impact thousands of data practitioners all over the world.</li>\n<li>Collaborate with a world-class team at the intersection of AI, data, and cloud computing.</li>\n<li>Build innovative solutions in a fast-moving, high-growth environment.</li>\n</ul>\n<p><strong>Pay Range Transparency</strong></p>\n<p>The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Local Pay Range $166,000-$225,000 USD</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_3339411e-b55","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://www.databricks.com/","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/7898766002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$166,000-$225,000 USD","x-skills-required":["HTML","CSS","JavaScript","React","Angular","VueJs/Ember","Java","Python","Scala","Go","SQL","AWS","Azure","GCP","Docker","Kubernetes"],"x-skills-preferred":[],"datePosted":"2026-06-18T13:34:17.649Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"HTML, CSS, JavaScript, React, Angular, VueJs/Ember, Java, Python, Scala, Go, SQL, AWS, Azure, GCP, Docker, Kubernetes","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":166000,"maxValue":225000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4bac938a-984"},"title":"Senior Software Engineer (Backend) - AI/ML Environments","description":"<p>At Databricks, we are passionate about enabling data and AI teams to solve the world&#39;s toughest problems , from making the next mode of transportation a reality to accelerating the development of medical breakthroughs.</p>\n<p>As part of the ML/AI Environments team you will build the system that enables the AI researchers and engineers to set up their desired training and serving environments. You’ll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure , with deep ties to research, product, and real-world enterprise use cases.</p>\n<p><strong>The impact you will have</strong></p>\n<ul>\n<li>Build the infrastructure that enables ML and AI users to configure training and serving environments easily, reliably and reproducibly.</li>\n<li>Collaborate with other AI infrastructure teams to build the features that customers need to get more from the Databricks platform.</li>\n<li>Interact with turnkey customers and product managers to envision new features and identify areas for improvement.</li>\n<li>Shape how developers and data scientists build and interact with AI on Databricks.</li>\n</ul>\n<p><strong>What we look for</strong></p>\n<ul>\n<li>5+ years of experience in backend or infrastructure engineering with a focus on building systems</li>\n<li>Strong programming skills in Python, Scala or Java</li>\n<li>Experience with distributed systems, scalable APIs, or cloud-native infrastructure</li>\n<li>Familiarity with service-oriented architecture, deployment pipelines, and system observability</li>\n<li>Strong product and ownership mindset , you care about building the right solution, not just any solution</li>\n<li>Strong understanding of dependency management technologies including virtual environments or containerization technologies.</li>\n</ul>\n<p><strong>Pay Range Transparency</strong></p>\n<p>The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.</p>\n<p>Local Pay Range $166,000-$220,000 USD</p>\n<p><strong>Benefits</strong></p>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.</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_4bac938a-984","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://www.databricks.com/","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8233899002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$166,000-$220,000 USD","x-skills-required":["Python","Scala","Java","distributed systems","scalable APIs","cloud-native infrastructure","service-oriented architecture","deployment pipelines","system observability","dependency management technologies"],"x-skills-preferred":[],"datePosted":"2026-06-18T13:32:20.676Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Scala, Java, distributed systems, scalable APIs, cloud-native infrastructure, service-oriented architecture, deployment pipelines, system observability, dependency management technologies","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":166000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a9cf6d58-4c5"},"title":"Sr. Engineering Manager - Customer Experience Intelligence (CXI)","description":"<p>At Databricks, we are passionate about enabling data teams to solve the world&#39;s toughest problems , from making the next mode of transportation a reality to accelerating the development of medical breakthroughs.</p>\n<p>As the Senior Engineering Manager for Customer Experience Intelligence (CXI), you&#39;ll shape how Databricks delivers intelligent, AI-driven customer and Support experiences at scale. This is a high-impact, visible role where you&#39;ll lead a team building the systems that make every customer interaction more seamless, predictive, and trusted.</p>\n<p><strong>The Impact You Will Have:</strong></p>\n<ul>\n<li>Own the entire portfolio across customer self-service, support workflows, and product-health intelligence.</li>\n<li>Own the execution of the team charter by delivering a sequenced, outcome-driven roadmap with explicit tradeoffs between metric movers (deflection, contact rate, MTTM), visible wins, and foundational capabilities.</li>\n<li>Own rollout strategy through staged releases, enablement, and change management.</li>\n<li>Collaborate with Tech Leads to ensure explainability, observability, and safe fallback mechanisms before scaling dependencies.</li>\n<li>Serve as the primary integrator across Support, Product, Enterprise Engineering, Platform, and SME teams.</li>\n<li>Drive governance to eliminate duplication, resolve conflicting sources of truth, and maintain a unified execution thread tied to measurable outcomes.</li>\n</ul>\n<p><strong>What we look for:</strong></p>\n<ul>\n<li>BS or higher degree in Computer Science or a related field.</li>\n<li>10+ years of experience building and operating customer-facing workflows and support automation tools that reduce customer effort and improve resolution time.</li>\n<li>5+ years of experience leading Engineering teams that build products used daily by Support engineers, SREs, or developers.</li>\n<li>Demonstrated experience delivering AI- or automation-enabled systems.</li>\n<li>Experienced influencing across multiple engineering and product organisations.</li>\n<li>Excellent written and verbal skills with the ability to articulate complex strategies clearly and concisely.</li>\n</ul>\n<p>Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilising the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.</p>\n<p>Local Pay Range $222,000-$312,600 USD</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_a9cf6d58-4c5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8436912002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$222,000-$312,600 USD","x-skills-required":["Computer Science","AI","automation","customer-facing workflows","support automation tools"],"x-skills-preferred":[],"datePosted":"2026-06-18T13:30:37.235Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Computer Science, AI, automation, customer-facing workflows, support automation tools","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":222000,"maxValue":312600,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_da887b39-469"},"title":"Sr. Staff Technical Program Manager - Reliability","description":"<p>We are seeking an exceptional Senior Staff Technical Program Manager (TPM) for Reliability to lead the strategy, execution, and continuous improvement of our most critical Reliability initiatives across infrastructure and product engineering teams at Databricks.</p>\n<p>As Databricks scales to support thousands of customers and the world’s most data-intensive workloads, Reliability is foundational to our mission. In this role, you will lead cross-company programs that significantly enhance the reliability, performance, and operational excellence of our multi-cloud infrastructure.</p>\n<p><strong>Responsibilities</strong></p>\n<p><strong>Lead Reliability Strategy + Multi-Quarter Roadmaps</strong></p>\n<ul>\n<li>Partner with senior engineering leadership to define the long-term Reliability roadmap, influence technical direction, and ensure alignment across teams.</li>\n<li>Ensure clarity and alignment on priorities across engineering teams, including Platform Engineering, Compute Fleet Management, SRE, Security, and Cloud Partnerships.</li>\n</ul>\n<p><strong>Drive Execution of Critical Reliability Programs</strong></p>\n<ul>\n<li>Own program execution end-to-end: planning, risk management, dependency mapping, trade-off decisions, status reporting, and delivery.</li>\n<li>Identify gaps in process or architecture and work with TLs to proactively drive organizational or technical improvements.</li>\n</ul>\n<p><strong>Partner Deeply with Engineering &amp; Influence Technical Direction</strong></p>\n<ul>\n<li>Using your background in infrastructure, distributed systems, or SRE to help teams make sound design and prioritization decisions.</li>\n<li>Facilitate alignment between cross-functional teams to ensure programs are technically grounded and execution-ready.</li>\n<li>Bring systems thinking to diagnose reliability bottlenecks and drive improvements to scalability, fault tolerance, automation, and operational tooling.</li>\n</ul>\n<p><strong>Elevate Reliability Culture Across the Organization</strong></p>\n<ul>\n<li>Drive adoption of reliability best practices across engineering teams - including error budgets, incident reviews, design-for-resilience patterns, and operational readiness.</li>\n<li>Define and implement program governance, repeatable processes, metrics, and documentation to scale reliability efforts across teams.</li>\n<li>Evangelize reliability expectations and engineer-empowering processes that reduce operational load and improve incident preparedness.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<p><strong>Required Experience &amp; Qualifications</strong></p>\n<ul>\n<li>10+ years of experience managing and delivering large-scale technical programs in cloud infrastructure, distributed systems, SRE, or platform engineering environments.</li>\n<li>Experience developing infrastructure at two or more hyperscale cloud providers (e.g., AWS, Azure, GCP), with knowledge of cloud primitives, multi-AZ/region architecture, and control plane/data plane patterns.</li>\n<li>Demonstrated success leading Reliability Programs at scale - including availability, failover, operational excellence, incident reduction, or dependency hardening.</li>\n<li>Strong understanding of infrastructure, distributed systems, or SRE practices; previous engineering or SRE experience is highly preferred.</li>\n<li>Experience partnering directly with senior engineering leadership to define strategy and drive large, multi-team initiatives.</li>\n<li>Ability to translate ambiguous goals into actionable program plans with clear milestones, KPIs, and success metrics.</li>\n<li>Demonstrated ability to manage complex cross-organizational dependencies, technical risks, and multi-quarter timelines.</li>\n<li>Experience delivering programs across multiple clouds and/or large-scale cloud-native services.</li>\n<li>Experience building and scaling engineering processes, operational frameworks, and stakeholder alignment mechanisms.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Background in distributed systems engineering, SRE, platform infrastructure, or cloud services.</li>\n<li>Experience with large-scale compute fleets, container orchestration, autoscaling, or control-plane architecture.</li>\n<li>Familiarity with reliability methodologies such as SLOs, error budgets, chaos engineering, failure mode analysis, and incident management frameworks.</li>\n<li>Expertise using Jira or equivalent tools for program tracking and execution.</li>\n<li>Bachelor’s degree in Computer Science, Engineering, or related technical field; advanced degree preferred.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.</p>\n<p><strong>Pay Range Transparency</strong></p>\n<p>The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. 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We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.</p>\n<p>Customers trust Databricks with their most valuable data and Trust &amp; Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust &amp; Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services</li>\n<li>Attract top talent from across the industry</li>\n<li>Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven</li>\n<li>Represent Databricks at academic and industry conferences &amp; events</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>7+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection &amp; Response. 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Mosaic AI mission.</p>\n<p>AI Runtime (AIR) is our managed platform for large-scale GPU training and fine-tuning. It gives customers on-demand access to fleets of the latest accelerators and a serverless experience that hides the complexity of provisioning, scheduling, and orchestrating multi-node jobs, with the resilience to keep training running for days or weeks across thousands of GPUs.</p>\n<p>AIR powers the full spectrum of custom training, from fine-tuning open models to pre-training frontier-scale foundation models, for some of the most sophisticated AI teams in the world.</p>\n<p>As a Staff Software Engineer for AI Runtime, you will play a critical role in building and scaling the systems that make large-scale training fast, reliable, and effortless.</p>\n<p>You will drive the architecture and evolution of the managed GPU training stack, spanning scheduling and capacity, distributed training performance, fault tolerance, and the developer experience of launching and operating jobs at scale.</p>\n<p>Beyond hands-on contributions to core systems, you will help define the long-term technical vision for AIR, mentor senior engineers, partner across product, research, and platform teams, and lead the initiatives that expand the technical and business impact of custom training at Databricks.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Drive the architecture and evolution of AIR&#39;s managed GPU training platform, delivering scalable, high-throughput, and resilient training across fleets that span thousands of accelerators.</li>\n</ul>\n<ul>\n<li>Solve the hardest problems in large-scale training, including multi-node orchestration, distributed parallelism strategies, GPU scheduling and dynamic routing, high-throughput data loading, and checkpoint and restore for very long-running jobs.</li>\n</ul>\n<ul>\n<li>Push GPU efficiency and training performance, raising utilization (such as model FLOPs utilization and end-to-end throughput) and lowering cost per training run across diverse model architectures and hardware generations.</li>\n</ul>\n<ul>\n<li>Build the resilience and observability foundations that keep multi-node jobs healthy, detecting and recovering from hardware and software failures with minimal disruption to customers.</li>\n</ul>\n<ul>\n<li>Partner with product, research, and platform teams to shape the APIs, CLI, and developer experience that make it easy to launch, monitor, and debug production training jobs.</li>\n</ul>\n<ul>\n<li>Lead end-to-end engineering efforts, from design through production rollout, holding a high bar for performance, correctness, and reliability.</li>\n</ul>\n<ul>\n<li>Make direct, high-impact contributions to the core systems behind AIR, and help bring up support for the latest accelerators and new regions as the fleet grows.</li>\n</ul>\n<ul>\n<li>Champion engineering excellence, mentor other engineers through design reviews and technical discussions, and help shape Databricks&#39; long-term technical direction in AI training infrastructure.</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>10+ years of experience building and operating large-scale distributed systems, with significant depth in GPU training infrastructure, high-performance computing, or ML systems.</li>\n</ul>\n<ul>\n<li>Hands-on experience with distributed training frameworks (such as PyTorch, FSDP, DeepSpeed, or Megatron) and the parallelism strategies (data, tensor, pipeline, and sequence parallelism) used to train large models.</li>\n</ul>\n<ul>\n<li>Strong understanding of training resilience patterns, including checkpointing, failure detection, and automatic recovery for long-running, multi-node jobs.</li>\n</ul>\n<ul>\n<li>Solid grasp of GPU performance fundamentals, including accelerator architecture, high-speed interconnects (such as NVLink and InfiniBand or RoCE), collective communication, and the bottlenecks that govern training throughput and utilization.</li>\n</ul>\n<ul>\n<li>Experience building and operating managed, multi-tenant platform products in the cloud, with clear SLAs and SLOs for availability, performance, and reliability.</li>\n</ul>\n<ul>\n<li>Strong foundation in algorithms, data structures, and system design as applied to performance-sensitive, large-scale distributed systems.</li>\n</ul>\n<ul>\n<li>Proven ability to deliver technically complex, high-impact initiatives that create clear customer or business value.</li>\n</ul>\n<ul>\n<li>Strong communication skills and the ability to collaborate across product, research, and infrastructure teams in a fast-moving environment.</li>\n</ul>\n<ul>\n<li>Strategic, product-oriented mindset with the ability to align technical execution to a long-term vision, and a passion for mentoring engineers and fostering technical excellence.</li>\n</ul>\n<ul>\n<li>BS in Computer Science or a related field (MS or PhD preferred).</li>\n</ul>\n<p>Pay Range Transparency Databricks is committed to fair and equitable compensation practices. 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It gives customers on-demand access to fleets of the latest accelerators and a serverless experience that hides the complexity of provisioning, scheduling, and orchestrating multi-node jobs, with the resilience to keep training running for days or weeks across thousands of GPUs.</p>\n<p>AIR powers the full spectrum of custom training, from fine-tuning open models to pre-training frontier-scale foundation models, for some of the most sophisticated AI teams in the world.</p>\n<p>As a Senior Software Engineer for AI Runtime, you will play a critical role in building and scaling the systems that make large-scale training fast, reliable, and effortless.</p>\n<p>You will drive the architecture and evolution of the managed GPU training stack, spanning scheduling and capacity, distributed training performance, fault tolerance, and the developer experience of launching and operating jobs at scale.</p>\n<p>Beyond hands-on contributions to core systems, you will help shape the technical direction for AIR, mentor other engineers, partner across product, research, and platform teams, and contribute to the initiatives that expand the technical and business impact of custom training at Databricks.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Drive the architecture and evolution of AIR&#39;s managed GPU training platform, delivering scalable, high-throughput, and resilient training across fleets that span thousands of accelerators.</li>\n</ul>\n<ul>\n<li>Solve the hardest problems in large-scale training, including multi-node orchestration, distributed parallelism strategies, GPU scheduling and dynamic routing, high-throughput data loading, and checkpoint and restore for very long-running jobs.</li>\n</ul>\n<ul>\n<li>Push GPU efficiency and training performance, raising utilization (such as model FLOPs utilization and end-to-end throughput) and lowering cost per training run across diverse model architectures and hardware generations.</li>\n</ul>\n<ul>\n<li>Build the resilience and observability foundations that keep multi-node jobs healthy, detecting and recovering from hardware and software failures with minimal disruption to customers.</li>\n</ul>\n<ul>\n<li>Partner with product, research, and platform teams to shape the APIs, CLI, and developer experience that make it easy to launch, monitor, and debug production training jobs.</li>\n</ul>\n<ul>\n<li>Lead end-to-end engineering efforts, from design through production rollout, holding a high bar for performance, correctness, and reliability.</li>\n</ul>\n<ul>\n<li>Make direct, high-impact contributions to the core systems behind AIR, and help bring up support for the latest accelerators and new regions as the fleet grows.</li>\n</ul>\n<ul>\n<li>Champion engineering excellence, mentor other engineers through design reviews and technical discussions, and contribute to Databricks&#39; technical direction in AI training infrastructure.</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>5+ years of experience building and operating large-scale distributed systems, with experience in GPU training infrastructure, high-performance computing, or ML systems.</li>\n</ul>\n<ul>\n<li>Experience with distributed training frameworks (such as PyTorch, FSDP, DeepSpeed, or Megatron) and the parallelism strategies (data, tensor, pipeline, and sequence parallelism) used to train large models.</li>\n</ul>\n<ul>\n<li>Strong understanding of training resilience patterns, including checkpointing, failure detection, and automatic recovery for long-running, multi-node jobs.</li>\n</ul>\n<ul>\n<li>Solid grasp of GPU performance fundamentals, including accelerator architecture, high-speed interconnects (such as NVLink and InfiniBand or RoCE), collective communication, and the bottlenecks that govern training throughput and utilization.</li>\n</ul>\n<ul>\n<li>Experience building and operating managed, multi-tenant platform products in the cloud, with clear SLAs and SLOs for availability, performance, and reliability.</li>\n</ul>\n<ul>\n<li>Strong foundation in algorithms, data structures, and system design as applied to performance-sensitive, large-scale distributed systems.</li>\n</ul>\n<ul>\n<li>Proven ability to deliver technically complex, high-impact initiatives that create clear customer or business value.</li>\n</ul>\n<ul>\n<li>Strong communication skills and the ability to collaborate across product, research, and infrastructure teams in a fast-moving environment.</li>\n</ul>\n<ul>\n<li>Customer-focused mindset with the ability to align implementation details with product goals, and a passion for mentoring engineers and fostering technical excellence.</li>\n</ul>\n<ul>\n<li>BS in Computer Science or a related field (MS or PhD preferred).</li>\n</ul>\n<p>Pay Range Transparency Databricks is committed to fair and equitable compensation practices. 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As a Staff Engineer, you will play a critical role in building and scaling our next-generation Search product, spanning Vector Search, Keyword Search, and Search Quality. 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We internalize the gravity, urgency, and meaning of our company&#39;s work, inspiring us to find exceptional individuals for our teams.</p>\n<p>Your ability to source uniquely excellent candidates and ascertain team fit is critical in this role. This requires embedding with a range of counterparts at the company, from the C-suite to Forward Deployed Engineering. The demands are intense, meaningful, and ever-changing.</p>\n<p>Core Responsibilities:</p>\n<ul>\n<li>Design and own the entire hiring lifecycle, including job description crafting, referral engagement, talent sourcing, interview process design, offer and closing, and evaluation of the end-to-end process for strength and risk.</li>\n</ul>\n<ul>\n<li>Actively surface talent using a range of strategies, from referrals to sourcing new leads.</li>\n</ul>\n<ul>\n<li>Build deep relationships with your business or product team as well as the talent you guide into Palantir.</li>\n</ul>\n<p>What We Value:</p>\n<ul>\n<li>Clear ability to navigate competing demands, relentlessly generating new solutions in response to constraints, new information, and changing terrain.</li>\n</ul>\n<ul>\n<li>Critical and data-driven approach to managing candidate pipelines and overall hiring processes.</li>\n</ul>\n<ul>\n<li>Demonstrated drive to work within an intense and mission-driven team representing a range of skillsets and personalities.</li>\n</ul>\n<ul>\n<li>Strong problem-solving skills; proven history of building and rebuilding processes from the ground up.</li>\n</ul>\n<p>What We Require:</p>\n<ul>\n<li>1+ years of experience identifying, recruiting, and working with exceptional talent.</li>\n</ul>\n<ul>\n<li>Extraordinary communication and interpersonal skills.</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_60a58273-7fa","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Palantir","sameAs":"https://www.palantir.com/","logo":"https://logos.yubhub.co/palantir.com.png"},"x-apply-url":"https://jobs.lever.co/palantir/ef824a5d-0932-4f96-9347-2e66cd5a7b83?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$90,000 - $120,000/year","x-skills-required":["recruitment","talent acquisition","hiring process management","communication","interpersonal skills"],"x-skills-preferred":["data analysis","problem-solving","process improvement"],"datePosted":"2026-04-25T20:58:09.373Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Human Resources","industry":"Technology","skills":"recruitment, talent acquisition, hiring process management, communication, interpersonal skills, data analysis, problem-solving, process improvement","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":90000,"maxValue":120000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ff67aefa-7b7"},"title":"Software Engineer","description":"<p>A World-Changing Company</p>\n<p>Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more.</p>\n<p>The Role</p>\n<p><strong>Core Responsibilities</strong></p>\n<ul>\n<li>Engage with and internalize Palantir’s infrastructure strategy and the needs of your team’s customer base</li>\n</ul>\n<ul>\n<li>Deeply understand and leverage K8s primitives, the broader OSS ecosystem around K8s, and highly technical service lifecycle semantics to solve business critical problems at scale</li>\n</ul>\n<ul>\n<li>Build and evolve the APIs through which in-house as well as third-party software developers interact with K8s to satisfy their runtime needs, cleanly abstracting away the complex distributed systems powering them</li>\n</ul>\n<ul>\n<li>Work closely with your team and stakeholders to enable sustainable and timely delivery of technical solutions to address business needs</li>\n</ul>\n<ul>\n<li>Champion a long-term tech roadmap to reduce operational burden, ensure scalability, reduce risk, and strive for step-changes whenever possible</li>\n</ul>\n<p><strong>What We Value</strong></p>\n<ul>\n<li>Clear and concise verbal and written communications</li>\n</ul>\n<ul>\n<li>A focus on impact and an ability to articulate the value your work provides</li>\n</ul>\n<ul>\n<li>Experience developing and managing highly-available distributed systems</li>\n</ul>\n<ul>\n<li>Passion for designing thoughtful and robust APIs</li>\n</ul>\n<ul>\n<li>Deep familiarity with K8s, and the broader ecosystem of software around K8s</li>\n</ul>\n<p><strong>What We Require</strong></p>\n<ul>\n<li>3+ years of professional software development experience</li>\n</ul>\n<ul>\n<li>1+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and existing systems</li>\n</ul>\n<ul>\n<li>1+years of experience as a mentor, tech lead or leading an engineering team</li>\n</ul>\n<ul>\n<li>Strong coding skills in Go, Java, or equivalent</li>\n</ul>\n<ul>\n<li>Experience designing, building, and operating high-scale observability or infrastructure systems</li>\n</ul>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science or equivalent</li>\n</ul>\n<p><strong>Additional Information</strong></p>\n<p>Salary</p>\n<p>The estimated salary range for this position is estimated to be $135,000 - $200,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives.</p>\n<p>Benefits</p>\n<ul>\n<li>Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance</li>\n</ul>\n<ul>\n<li>Employees are automatically covered by Palantir’s basic life, AD&amp;D and disability insurance</li>\n</ul>\n<ul>\n<li>Commuter benefits</li>\n</ul>\n<ul>\n<li>Relocation assistance</li>\n</ul>\n<ul>\n<li>Take what you need paid time off, not accrual based</li>\n</ul>\n<ul>\n<li>2 weeks paid time off built into the end of each year (subject to team and business needs)</li>\n</ul>\n<ul>\n<li>10 paid holidays throughout the calendar year</li>\n</ul>\n<ul>\n<li>Supportive leave of absence program including time off for military service and medical events</li>\n</ul>\n<ul>\n<li>Paid leave for new parents and subsidized back-up care for all parents</li>\n</ul>\n<ul>\n<li>Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation</li>\n</ul>\n<ul>\n<li>Stipend to help with expenses that come with a new child</li>\n</ul>\n<ul>\n<li>Employees can enroll in Palantir’s 401k plan</li>\n</ul>\n<p>Life at Palantir</p>\n<p>We want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region.</p>\n<p>In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office.</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_ff67aefa-7b7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Palantir","sameAs":"https://www.palantir.com/","logo":"https://logos.yubhub.co/palantir.com.png"},"x-apply-url":"https://jobs.lever.co/palantir/d5d83a8f-cb96-41cc-9612-c7224fbb2fbc?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$135,000 - $200,000/year","x-skills-required":["Kubernetes","Go","Java","API Design","Distributed Systems","Observability","Infrastructure Systems"],"x-skills-preferred":[],"datePosted":"2026-04-25T20:57:51.274Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Kubernetes, Go, Java, API Design, Distributed Systems, Observability, Infrastructure Systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":135000,"maxValue":200000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_46b83402-66e"},"title":"Senior Software Engineer","description":"<p>As a Senior Software Engineer on the Substrate team, you will design and build Palantir&#39;s managed Kubernetes product offerings across various environments. 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The team solves the novel technical challenges emergent at the intersection of scale, usability, and security: enabling dynamic control over ephemeral infrastructure (10s of thousands of firewall rules targeting 1000s of short-lived pods) across multiple compliance regimes, using CNCF tools like envoy, cilium with K8s controllers to operate them.</p>\n<p>In this role, you will be working in one of the most technically challenging spaces at Palantir.</p>\n<p><strong>Core Responsibilities</strong> Drive Palantir&#39;s infrastructure strategy while grappling with the needs of your team&#39;s diverse customer base Build the APIs through which both internal and external software developers interact with network infrastructure Deeply understand and leverage K8s networking primitives and the broader OSS ecosystem around K8s Champion a long-term roadmap to reduce operational burden, ensure scalability, reduce risk, and strive for transformative impact</p>\n<p><strong>What We Value</strong> Clear and concise verbal and written communications with a focus on impact and ability to articulate the value your work provides Ability to engage stakeholders and ensure timely delivery to address core business needs Passion for designing thoughtful and robust APIs Deep familiarity with K8s, and the broader ecosystem of software around K8s Working knowledge of networking fundamentals, experience with CNIs or cloud networking infrastructure preferred Experience designing, building, and operating high-scale observability or infrastructure systems Strong coding skills in Go, Java, or equivalent</p>\n<p><strong>What We Require</strong> 3+ years of professional software development experience 1+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability, and scaling) of new and existing systems Bachelor&#39;s degree in Computer Science or equivalent</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_ba9b13e8-58b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Palantir","sameAs":"https://www.palantir.com/","logo":"https://logos.yubhub.co/palantir.com.png"},"x-apply-url":"https://jobs.lever.co/palantir/89a77547-8b74-45b2-8590-f04b16e19a59?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$135,000 - $200,000/year","x-skills-required":["Kubernetes","Networking","Go","Java","API Design","Cloud Networking Infrastructure"],"x-skills-preferred":[],"datePosted":"2026-04-25T20:56:16.555Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Kubernetes, Networking, Go, Java, API Design, Cloud Networking Infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":135000,"maxValue":200000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b37dcc1b-eb9"},"title":"Senior Software Engineer","description":"<p>As a Senior Software Engineer, you will be directly responsible for Palantir&#39;s observability platform. This includes everything from log/metric/trace ingestion and processing, monitoring and alerting solutions, and all other workflows on top of the observability data. This role will have a direct impact on Palantir&#39;s ability to scale our engineering efforts through these investments.</p>\n<p>You have a deep systems background and value technical excellence, and consistently raise the bar for your team&#39;s technical execution. You know how to balance providing value to your users while building defensive systems that are operationally sound and easy to maintain.</p>\n<p><strong>Core Responsibilities</strong></p>\n<ul>\n<li>Partner with our extended leadership team to set and define a technical strategy for your team aligned with the wider team strategy.</li>\n<li>Build and champion a long-term tech roadmap to reduce operational burden, ensure scalability, reduce risk, and guide your team towards step-changes whenever possible.</li>\n<li>Be technically involved and engage in substantive discussion when reviewing technical roadmaps and project implementation with the team.</li>\n<li>Work closely with teammates and stakeholders to enable sustainable and timely delivery of technical solutions to address business needs.</li>\n<li>Facilitate partnerships between engineering teams and operators to build innovative products that help Palantir scale.</li>\n<li>Act as a multiplier for other engineers on the team. Define where the technical bar should be, and help engineers achieve it. Lead engineers and accelerate their growth by providing thoughtful feedback, technical mentorship, and effectively manage performance.</li>\n<li>Foster a non-hierarchical exchange of ideas; valuing the idea rather than the individual who communicates it.</li>\n</ul>\n<p><strong>What We Value</strong></p>\n<ul>\n<li>Experience designing, building and operating high-scale observability or infrastructure systems.</li>\n<li>Clear and concise verbal and written communications.</li>\n<li>Experience leading complex, cross-team engineering efforts, including analysis of requirements and scoping, and knowing what it takes to deliver high-quality software.</li>\n<li>Demonstrated ability work in a fast-paced product development team, with peers and teammates across multiple locations and timezones.</li>\n<li>Willingness and enthusiasm to do what it takes to get things done, leading by example and getting involved with the team&#39;s day-to-day work.</li>\n<li>A focus on impact and an ability to articulate the value your work provides.</li>\n<li>Active US Security clearance, or eligibility and willingness to obtain a US Security clearance.</li>\n</ul>\n<p><strong>What We Require</strong></p>\n<ul>\n<li>5+ years of professional software development experience.</li>\n<li>2+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and existing systems.</li>\n<li>1+ years of experience as a mentor, tech lead Or leading an engineering team.</li>\n<li>Strong coding skills in Go, Java, or equivalent.</li>\n<li>Experience designing, building, and operating high-scale observability or infrastructure systems.</li>\n<li>Bachelor&#39;s degree in Computer Science or equivalent.</li>\n</ul>\n<p><strong>Additional Information</strong></p>\n<ul>\n<li>Salary: The estimated salary range for this position is estimated to be $135,000 - $200,000/year.</li>\n<li>Benefits: Palantir offers a comprehensive benefits package, including medical, dental, and vision insurance, as well as 401(k) matching and paid time off.</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_b37dcc1b-eb9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Palantir","sameAs":"https://www.palantir.com/","logo":"https://logos.yubhub.co/palantir.com.png"},"x-apply-url":"https://jobs.lever.co/palantir/8a95dba1-b814-4243-be14-eba1df340ceb?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$135,000 - $200,000/year","x-skills-required":["Go","Java","Observability","Infrastructure Systems","System Design","Architecture","Design Patterns","Reliability","Scalability"],"x-skills-preferred":[],"datePosted":"2026-04-25T20:54:30.368Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Go, Java, Observability, Infrastructure Systems, System Design, Architecture, Design Patterns, Reliability, Scalability","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":135000,"maxValue":200000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c90a6123-131"},"title":"Senior Software Engineer","description":"<p>We are seeking an experienced Senior Software Engineer to join a newly-formed team focused on developing advanced autonomous systems for area defense. This role involves building state-of-the-art solutions combining sensors, effectors, and intelligent decision-making systems to protect civilian and military installations from a variety of threats, including drone attacks.</p>\n<p>As a part of this team, you will contribute directly to the development of autonomous systems that integrate sensors (radar, cameras, RF, and other modalities) with real-time response actuation through effectors such as kinetic and non-kinetic systems or drone swarms. You will work alongside other experts in sensing, artificial intelligence, and systems engineering to shape solutions that redefine complex area defense scenarios.</p>\n<p><strong>Core Responsibilities</strong></p>\n<ul>\n<li>Design, implement, and optimize software for mission-critical autonomous systems using modern technologies and methodologies.</li>\n<li>Develop algorithms to process data from heterogeneous sensors for real-time state estimation and threat detection.</li>\n<li>Build AI-driven systems capable of assessing threats and rapidly making decisions to deploy responses to those threats.</li>\n<li>Develop integrations with a range of sensors, effectors, and autonomous platforms.</li>\n<li>Engineer scalable, reliable, and fail-safe systems capable of functioning in high-stakes environments.</li>\n<li>Partner with multidisciplinary teams, including robotics experts, hardware engineers, and system integrators, to deliver integrated solutions.</li>\n</ul>\n<p><strong>What We Value</strong></p>\n<ul>\n<li>Proven experience in software development for autonomous systems, embedded systems, or robotics.</li>\n<li>Knowledge of AI/ML, sensor processing, or swarm behaviors is highly desirable.</li>\n<li>Ability to manage complexity, optimize for performance, and think critically under pressure.</li>\n<li>Experience deploying and maintaining robust production systems.</li>\n</ul>\n<p><strong>What We Require</strong></p>\n<ul>\n<li>5+ years of professional software development experience</li>\n<li>2+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and existing systems</li>\n<li>2+ years of experience as a mentor, tech lead or leading an engineering team</li>\n<li>Strong proficiency in Rust, Python, or Java</li>\n<li>Bachelor&#39;s/Master&#39;s/PhD in Computer Science, Robotics, Electrical Engineering, or related fields</li>\n<li>Active US Security clearance or eligibility and willingness to obtain a US Security clearance</li>\n</ul>\n<p><strong>Additional Information</strong></p>\n<p>Salaries are competitive and based on experience. Total compensation includes restricted stock units, sign-on bonuses, and other incentives. 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As a member of the Revenue Team, you will be responsible for analyzing and reviewing complex revenue transactions as well as continually refining our revenue recognition policies.</p>\n<p>You will be responsible for all aspects of the quote-to-cash cycle related to your customer portfolio by working closely with Deal and Finance teams to ensure the accounting and operational aspects of your deals progress efficiently and accurately. You are a key player in the global revenue close process.</p>\n<p>You are a team player who is eager to learn and improve with a strong attention to detail. The position also requires strong operational, organizational, and communication skills.</p>\n<p><strong>Core Responsibilities</strong></p>\n<ul>\n<li>Execute the revenue recognition process from the contract closeout phase to financial statement disclosure</li>\n<li>Drive revenue and cost of revenue month-end close process by creating and validating accruals, preparing journal entries and account reconciliations, ensuring policy compliance and developing standard reports</li>\n<li>Exercise judgment while ensuring that accounting conclusions are documented in technical memos in accordance with policies and current software revenue recognition rules</li>\n<li>Work actively with internal and external auditors to ensure audits are completed efficiently and effectively</li>\n<li>Identify, champion, and implement continuous improvement initiatives related to revenue processes, including systems, reporting, analysis</li>\n<li>Partnering with Finance and Sales leadership on revenue forecasting processes</li>\n</ul>\n<p><strong>What We Value</strong></p>\n<ul>\n<li>Strong communications, presentation, and interpersonal skills, including the ability to summarize key accounting and operational issues to management</li>\n<li>Proficiency with NetSuite and/or other revenue recognition accounting systems</li>\n<li>CPA or ACCA/ACA (preferred but not required)</li>\n</ul>\n<p><strong>What We Require</strong></p>\n<ul>\n<li>Experience in application of ASC 606, specifically in the application to enterprise software-as-a-service</li>\n<li>3+ years of experience within a large public accounting firm and/or a small to mid-size enterprise software company</li>\n<li>Bachelor’s Degree or equivalent experience in business administration, economics, finance, accounting, or related field</li>\n</ul>\n<p><strong>Additional Information</strong></p>\n<p>The estimated salary range for this position is estimated to be $90,000 - $140,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus, and other potential future incentives. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. 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Investments in automation and self-healing systems are key.</p>\n<p>If you&#39;re excited about infrastructure at scale and working with Kubernetes, this is the right role for you.</p>\n<p><strong>Core Responsibilities</strong></p>\n<ul>\n<li>Deliver a container runtime to challenging new environment types - new clouds, on premise, edge devices</li>\n</ul>\n<ul>\n<li>Build automation and establish standards for operating K8s securely at scale with zero manual ops overhead</li>\n</ul>\n<ul>\n<li>Drive innovation through adoption of novel K8s features and CNCF tools, making upstream contributions as needed</li>\n</ul>\n<ul>\n<li>Design the next generation of Palantir&#39;s infrastructure through a deep understanding of internal systems and CNCF standards</li>\n</ul>\n<p><strong>What We Value</strong></p>\n<ul>\n<li>Systems programming experience with strong proficiency in golang, C/C++ or equivalent</li>\n</ul>\n<ul>\n<li>Working knowledge or hands on experience of infrastructure automation tools such as Terraform, ansible, puppet or K8s operators, and competent coding in Go, Java, or equivalent for the purposes of automation or scripting</li>\n</ul>\n<ul>\n<li>Deep familiarity with hardware and OS configurations, diagnostic tooling, networking nuts and bolts</li>\n</ul>\n<ul>\n<li>Deep familiarity with containers (Docker) and orchestration (Kubernetes) at scale</li>\n</ul>\n<ul>\n<li>Experience working with a cloud provider (AWS/Azure/GCE), or sysadmin/SRE experience in data centers</li>\n</ul>\n<ul>\n<li>Experience designing, building, and operating high-scale observability or infrastructure systems</li>\n</ul>\n<ul>\n<li>Working knowledge of networking fundamentals, experience with CNIs or cloud networking infrastructure preferred</li>\n</ul>\n<p><strong>What We Require</strong></p>\n<ul>\n<li>4+ years of professional software development experience on core infrastructure with emphasis on operational excellence</li>\n</ul>\n<ul>\n<li>2+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and existing systems</li>\n</ul>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science or equivalent</li>\n</ul>\n<p><strong>Additional Information</strong></p>\n<p>Salary: The estimated salary range for this position is estimated to be $145,000 - $200,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives.</p>\n<p>Benefits:</p>\n<ul>\n<li>Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance</li>\n<li>Employees are automatically covered by Palantir&#39;s basic life, AD&amp;D and disability insurance</li>\n<li>Commuter benefits</li>\n<li>Relocation assistance</li>\n<li>Take what you need paid time off, not accrual based</li>\n<li>2 weeks paid time off built into the end of each year (subject to team and business needs)</li>\n<li>10 paid holidays throughout the calendar year</li>\n<li>Supportive leave of absence program including time off for military service and medical events</li>\n<li>Paid leave for new parents and subsidized back-up care for all parents</li>\n<li>Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation</li>\n<li>Stipend to help with expenses that come with a new child</li>\n<li>Employees can enroll in Palantir&#39;s 401k plan</li>\n</ul>\n<p>Life at Palantir: We want every Palantirian to achieve their best outcomes, that&#39;s why we celebrate individuals&#39; strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians&#39; lives is just one of the ways we&#39;re investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region.</p>\n<p>In keeping consistent with Palantir&#39;s values and culture, we believe employees are &#39;better together&#39; and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for &#39;Remote&#39; work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. 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They help ensure Palantir fixes critical issues immediately. IMEs are excellent communicators, collaborators, and troubleshooters who can use these skills in fast-paced and high-stakes environments.</p>\n<p>Core Responsibilities:</p>\n<ul>\n<li>Develop a deep understanding of Palantir&#39;s product and delivery ecosystem.</li>\n<li>Collaborate with customer-facing, product, and infrastructure teams on the development and deployment of scalable, reliable software for customers.</li>\n<li>Diagnose, resolve, and prevent issues encountered in the field.</li>\n<li>Reduce the operational overhead of responding to critical incidents at Palantir through investments in tooling, process, and automation.</li>\n<li>Take part in a 24/7 on-call rotation responsible for coordinating Palantir&#39;s response to mission-critical incidents, ensuring efficient resolution with minimal customer impact.</li>\n</ul>\n<p>What We Value:</p>\n<ul>\n<li>Excellent problem-solving skills.</li>\n<li>Comfort working in a fast-paced environment.</li>\n<li>Ability to work both independently and make decisions under minimal direction, as well as collaborate as part of a team.</li>\n<li>Experience with scripting, automation, or data analysis a plus.</li>\n</ul>\n<p>What We Require:</p>\n<ul>\n<li>Background in Computer Science, Engineering, Information Systems, Incident Management, or other technical field.</li>\n<li>Willingness and interest to travel to other Palantir locations on occasion.</li>\n</ul>\n<p>Additional Information:</p>\n<ul>\n<li>Salary: The estimated salary range for this position is $96,000 - $140,000/year.</li>\n<li>Benefits: Palantir offers a comprehensive benefits package, including medical, dental, and vision insurance, as well as voluntary life insurance, commuter benefits, relocation assistance, and paid time off.</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_71342544-5de","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Palantir","sameAs":"https://www.palantir.com/","logo":"https://logos.yubhub.co/palantir.com.png"},"x-apply-url":"https://jobs.lever.co/palantir/b72abc17-293d-47e0-a094-c1ab0016b794?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$96,000 - $140,000/year","x-skills-required":["Computer Science","Engineering","Information Systems","Incident Management","Scripting","Automation","Data Analysis"],"x-skills-preferred":[],"datePosted":"2026-04-25T20:51:32.808Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Computer Science, Engineering, Information Systems, Incident Management, Scripting, Automation, Data Analysis","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":96000,"maxValue":140000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_408eb87b-da7"},"title":"Member of the Compute Tools team","description":"<p>As a member of the Compute Tools team, you&#39;ll design and build the systems that enable Palantirians to succeed. You&#39;ll be the expert and owner of our internal platforms, helping to leverage a combination of Palantir&#39;s own products and open source tools to provide stable and flexible services for a constantly evolving set of use cases.</p>\n<p>Apply modern engineering practices to improve the maintainability, reliability, and utility of Palantir&#39;s internal compute infrastructure.</p>\n<p>Drive build-vs-buy decisions and partner with vendors to integrate external technologies into our platform.</p>\n<p>Collaborate with other teams to understand emerging needs and deliver solutions that help users succeed.</p>\n<p>Participate in the on-call rotation for high-severity incidents affecting critical systems.</p>\n<p>Research and evaluate new technologies to identify where our infrastructure can improve.</p>\n<p>We&#39;re looking for someone with systems programming experience, strong proficiency in Go, Python, or Rust, and deep familiarity with containers (Docker) and orchestration (Kubernetes).</p>\n<p>If you have experience working with a cloud provider (AWS/Azure/GCE), or sysadmin/SRE experience in data centers, that&#39;s a plus.</p>\n<p>Up to date with modern industry practices and open-source advancements is essential.</p>\n<p>Solid understanding of distributed systems, APIs, cloud platforms, and on-prem infrastructure is required.</p>\n<p>Hands-on experience with CI/CD pipelines, DevOps practices, and system reliability principles is necessary.</p>\n<p>Willingness and eligibility to obtain a U.S. security clearance is required.</p>\n<p>We require 3+ years of professional software development experience on core infrastructure with emphasis on operational excellence.</p>\n<p>2+ years of experience contributing to the system design or architecture of new and existing systems is necessary.</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_408eb87b-da7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Palantir","sameAs":"https://www.palantir.com/","logo":"https://logos.yubhub.co/palantir.com.png"},"x-apply-url":"https://jobs.lever.co/palantir/c3f40e41-6258-4233-a7f9-091bf67df30b?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$135,000 - $200,000/year","x-skills-required":["Go","Python","Rust","Docker","Kubernetes","AWS","Azure","GCE","DevOps","CI/CD pipelines","System reliability principles"],"x-skills-preferred":[],"datePosted":"2026-04-25T20:45:44.533Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Go, Python, Rust, Docker, Kubernetes, AWS, Azure, GCE, DevOps, CI/CD pipelines, System reliability principles","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":135000,"maxValue":200000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_bc790e73-e99"},"title":"Member of the Compute Tools team","description":"<p>As a member of the Compute Tools team, you&#39;ll design and build the systems that enable Palantirians to succeed. 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We&#39;re responsible for making architectural decisions that enable sustainable operations in light of that evolving usage.</p>\n<p><strong>Core Responsibilities</strong></p>\n<ul>\n<li>Apply modern engineering practices to improve the maintainability, reliability, and utility of Palantir&#39;s internal compute infrastructure.</li>\n<li>Drive build-vs-buy decisions and partner with vendors to integrate external technologies into our platform.</li>\n<li>Collaborate with other teams to understand emerging needs and deliver solutions that help users succeed.</li>\n<li>Participate in the on-call rotation for high-severity incidents affecting critical systems.</li>\n<li>Research and evaluate new technologies to identify where our infrastructure can improve.</li>\n</ul>\n<p><strong>What We Value</strong></p>\n<ul>\n<li>Systems programming experience with strong proficiency in Go, Python, or Rust.</li>\n<li>Deep familiarity with containers (Docker) and orchestration (Kubernetes).</li>\n<li>Experience working with a cloud provider (AWS/Azure/GCE), or sysadmin/SRE experience in data centers.</li>\n<li>Up to date with modern industry practices and open-source advancements.</li>\n<li>Solid understanding of distributed systems, APIs, cloud platforms, and on-prem infrastructure.</li>\n<li>Hands-on experience with CI/CD pipelines, DevOps practices, and system reliability principles.</li>\n<li>Willingness and eligibility to obtain a U.S. security clearance.</li>\n</ul>\n<p><strong>What We Require</strong></p>\n<ul>\n<li>3+ years of professional software development experience on core infrastructure with emphasis on operational excellence.</li>\n<li>2+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and existing systems.</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_bc790e73-e99","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Palantir","sameAs":"https://www.palantir.com/","logo":"https://logos.yubhub.co/palantir.com.png"},"x-apply-url":"https://jobs.lever.co/palantir/51ea4a3b-7764-4c87-96e4-310e19c856d5?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$135,000 - $200,000/year","x-skills-required":["Go","Python","Rust","Docker","Kubernetes","AWS","Azure","GCE","CI/CD pipelines","DevOps practices","system reliability principles"],"x-skills-preferred":[],"datePosted":"2026-04-25T20:45:28.464Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Go, Python, Rust, Docker, Kubernetes, AWS, Azure, GCE, CI/CD pipelines, DevOps practices, system reliability principles","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":135000,"maxValue":200000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_35321a69-897"},"title":"Engineering Manager - App Frameworks","description":"<p>At Databricks, we are seeking an experienced Engineering Manager to lead our App Framework team. As an Engineering Manager, you will be responsible for building the foundational service frameworks and runtime infrastructure that power every microservice at Databricks.</p>\n<p>The team&#39;s goal is to make every service at Databricks fast, reliable, observable, and secure by default, without each team having to solve these problems independently. The team owns the core application platform: multi-language service and RPC frameworks, core libraries, request context propagation, overload protection, and abstractions that extend full platform capabilities to any language.</p>\n<p>As an Engineering Manager, you will lead a team of talented engineers building core application platform infrastructure used by every service at Databricks. You will own and drive the technical roadmap for one or more pillars, drive multi-quarter execution on high-impact platform initiatives, hire great engineers to build an outstanding team, and support engineers in their career development.</p>\n<p>We are looking for someone with 5+ years of engineering experience building and operating large-scale distributed systems, service frameworks, or platform infrastructure, and 2+ years of engineering management experience leading strong technical teams.</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_35321a69-897","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8510921002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,000-$261,250 USD","x-skills-required":["engineering experience building and operating large-scale distributed systems","service frameworks","platform infrastructure","engineering management experience leading strong technical teams","hiring great engineers"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:10:26.767Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"engineering experience building and operating large-scale distributed systems, service frameworks, platform infrastructure, engineering management experience leading strong technical teams, hiring great engineers","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":261250,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f428480b-492"},"title":"Staff Technical Program Manager- Unity Catalog","description":"<p>P-1489</p>\n<p><strong>Platform &amp; Product Experiences | Shape How Databricks Executes at Scale</strong></p>\n<p>At Databricks, Staff TPMs don’t just run programs , they define how the company executes at scale. This role sits at the centre of our highest-priority platform and product investments, partnering across engineering, product, and go-to-market teams to bring foundational capabilities to market globally.</p>\n<p>You will lead complex, high-visibility programs where the path isn’t fully defined, align senior stakeholders, and build the operating models that scale execution across the company.</p>\n<p><strong>The Impact You’ll Make</strong></p>\n<p>You will own delivery of some of Databricks’ most important initiatives and programs that reach tens of thousands of enterprise customers worldwide. You will influence roadmap decisions, drive execution across organisations, and ensure launches translate into real customer adoption and business impact.</p>\n<p>Examples of programs you may lead include:</p>\n<ul>\n<li>Driving the evolution and adoption of Unity Catalog as the foundation for data governance across the platform</li>\n</ul>\n<ul>\n<li>Scaling core platform experiences that define how customers interact with Databricks (e.g., workspace, identity, access, and cross-product workflows)</li>\n</ul>\n<ul>\n<li>Leading cross-functional initiatives that unify product experiences across data, AI, and governance capabilities</li>\n</ul>\n<p><strong>What You’ll Own</strong></p>\n<ul>\n<li>End-to-End Program Leadership: Own complex, cross-functional programs from initial scoping through launch and adoption. Define program structure, drive execution, and hold teams accountable to clear outcomes.</li>\n</ul>\n<ul>\n<li>Cross-Organizational Alignment: Align engineering, product, design, field, legal, and marketing around a shared plan. Manage dependencies, resolve conflicts, and keep execution on track.</li>\n</ul>\n<ul>\n<li>Product Launch &amp; Enterprise Adoption: Partner with field teams, solutions architects, and customer success to drive successful launches. Build early access programs, capture customer feedback, and translate it into execution priorities.</li>\n</ul>\n<ul>\n<li>Operational Excellence: Identify where the organisation is losing speed, design scalable processes, and drive adoption across teams. Build systems that outlast individual programs.</li>\n</ul>\n<ul>\n<li>Executive Communication: Own communication with senior leadership. Provide clear updates, highlight risks, and enable fast, well-informed decision-making.</li>\n</ul>\n<ul>\n<li>Data-Driven Execution: Define success metrics upfront. Track progress rigorously and use data to guide decisions and demonstrate impact.</li>\n</ul>\n<p><strong>What We’re Looking For</strong></p>\n<ul>\n<li>10+ years leading large-scale, cross-functional programs in enterprise software or B2B technology</li>\n</ul>\n<ul>\n<li>Proven experience delivering end-to-end product launches across multiple geographies and functions</li>\n</ul>\n<ul>\n<li>Demonstrated ability to bring structure to ambiguous, fast-moving environments</li>\n</ul>\n<ul>\n<li>Experience influencing roadmap and prioritisation, not just delivery</li>\n</ul>\n<ul>\n<li>Credibility with both engineers and executives; strong communication skills with VP and C-level stakeholders</li>\n</ul>\n<ul>\n<li>Track record of building scalable processes and operating models</li>\n</ul>\n<ul>\n<li>Strong instincts for risk management, escalation, and stakeholder alignment</li>\n</ul>\n<ul>\n<li>Experience defining and tracking success metrics; familiarity with SQL or dashboards is a plus</li>\n</ul>\n<ul>\n<li>Experience operating with high autonomy and ownership in ambiguous, high-stakes environments</li>\n</ul>\n<p><strong>Preferred</strong></p>\n<ul>\n<li>Experience with cloud platforms (AWS, Azure, GCP)</li>\n</ul>\n<ul>\n<li>Background in data platforms, governance systems, or developer-facing products</li>\n</ul>\n<ul>\n<li>Familiarity with Databricks or similar large-scale data ecosystems</li>\n</ul>\n<ul>\n<li>Experience scaling both 0→1 programs and mature systems</li>\n</ul>\n<ul>\n<li>Advanced degree in a technical field</li>\n</ul>\n<p><strong>Why This Role is Unique</strong></p>\n<p>This role sits at the centre of Databricks’ core platform investments, with direct access to senior leadership and the opportunity to shape how the company executes. You will work on high-impact programs, influence key decisions, and build systems that scale across the organisation.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Comprehensive health coverage (medical, dental, vision)</li>\n</ul>\n<ul>\n<li>401(k) plan</li>\n</ul>\n<ul>\n<li>Equity awards</li>\n</ul>\n<ul>\n<li>Flexible time off</li>\n</ul>\n<ul>\n<li>Paid parental leave and family planning support</li>\n</ul>\n<ul>\n<li>Gym reimbursement</li>\n</ul>\n<ul>\n<li>Annual personal development fund</li>\n</ul>\n<ul>\n<li>Work headphones reimbursement</li>\n</ul>\n<ul>\n<li>Employee Assistance Program (EAP)</li>\n</ul>\n<ul>\n<li>Business travel accident insurance</li>\n</ul>\n<ul>\n<li>Mental wellness resources</li>\n</ul>\n<p>Pay Range Transparency</p>\n<p>Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilising the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.</p>\n<p>Local Pay Range$180,200-$247,850 USD</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_f428480b-492","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8521198002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"Local Pay Range $180,200-$247,850 USD","x-skills-required":["technical program management","cross-functional programs","data governance","cloud platforms","data platforms","governance systems","developer-facing products","large-scale data ecosystems","scalable processes","operating models","risk management","escalation","stakeholder alignment","success metrics","SQL","dashboards"],"x-skills-preferred":["AWS","Azure","GCP"],"datePosted":"2026-04-24T12:07:55.802Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California; San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"technical program management, cross-functional programs, data governance, cloud platforms, data platforms, governance systems, developer-facing products, large-scale data ecosystems, scalable processes, operating models, risk management, escalation, stakeholder alignment, success metrics, SQL, dashboards, AWS, Azure, GCP","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180200,"maxValue":247850,"unitText":"YEAR"}}}]}