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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_41c3ee08-08e"},"title":"Optimization Software Engineer","description":"<p>We are looking for a talented mid-level Software Engineer with a strong background in optimization to join our growing team at Anduril Labs. In this role, you will be instrumental in developing advanced algorithms and software solutions to tackle complex, multi-domain optimization problems critical to national defense and Anduril&#39;s autonomous systems.</p>\n<p>The ideal candidate possesses deep expertise in classical optimization algorithms, robust Python programming skills, and a solid foundation in data modeling. Experience with developing hybrid quantum optimization solutions is a plus.</p>\n<p>You will leverage state-of-the-art, GenAI-powered development tools such as Claude Code to accelerate solution development and enhance our optimization software. This role demands creative problem-solving, a self-starter mentality, and the ability to rapidly apply algorithmic theory and mathematic modeling to practical, real-world optimization challenges.</p>\n<p>You will be designing, implementing, and deploying optimization algorithms and services that integrate seamlessly into larger defense systems, working across various platforms (on-prem, cloud, and hybrid quantum computing environments).</p>\n<p>Familiarity with modeling linear and non-linear optimization problems, rapid prototyping, integrating optimization solutions into existing architectures, leveraging APIs, and utilizing open-source tools will be crucial.</p>\n<p>If you thrive in a dynamic environment that values creative problem-solving, love writing code, excel as both an individual contributor and team player, are eager to learn, and bring a can-do attitude, this role is for you.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Design, develop, and implement highly efficient 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cluster management all the way down to query compilation, our Applied AI team works on some of the hardest, most interesting problems facing the business, making Databricks infrastructure and products as performant and cost-efficient as possible.</p>\n<p>This is a high impact problem as our customers look at us to deliver the most optimized workloads.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Build end-to-end systems from the ground up in a small team of experienced people.</li>\n<li>Shape the direction of our applied ML areas of investment by engaging with engineering and product teams across the company.</li>\n<li>Drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Databricks&#39; products, infrastructure and services.</li>\n<li>Architect and implement robust, scalable ML infrastructure, including data storage and processing, model training and serving components, and monitoring and reporting 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reviews and deployment.</li>\n<li>Experience deploying, scaling and monitoring models in production; deep understanding of the unique infrastructure challenges posed by training and serving predictions in Tier 0 environments.</li>\n</ul>\n<p>Why Join Us?</p>\n<p>At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.</p>\n<p>If you&#39;re excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!</p>\n<p>Please note we are open to employees working from our Mountain View, CA office for this position.</p>\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 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>For more information regarding which range your location is in visit our page here.</p>\n<p>Local Pay Range $166,000-$210,250 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_60ccd923-851","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/7859597002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$166,000-$210,250 USD","x-skills-required":["Machine Learning","Scheduling and Optimization Algorithms","Computer Systems","Statistics","Mathematical Modeling","Software Engineering","Testing","Code Reviews","Deployment"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:44:18.436Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Scheduling and Optimization Algorithms, Computer Systems, Statistics, Mathematical Modeling, Software Engineering, Testing, Code Reviews, Deployment","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":166000,"maxValue":210250,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fb5a15bc-60e"},"title":"Growth - Performance Marketing & Growth Optimizations","description":"<p><strong>Growth - Performance Marketing &amp; Growth Optimizations</strong></p>\n<p><strong>Location</strong></p>\n<p>New York City</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Location Type</strong></p>\n<p>Hybrid</p>\n<p><strong>Department</strong></p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$239K – $265K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the Team</strong></p>\n<p>The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering.</p>\n<p><strong>About the Role</strong></p>\n<p>Growth Marketing is a rapidly scaling functional area, accelerating growth by connecting out-of-product and in-product experiences into seamless journeys that acquire, retain, and re-engage users, unlocking ChatGPT’s transformative potential in users’ daily lives. We work cross-functionally with product, engineering, design, data science, finance, and marketing to unlock scalable growth levers and deliver measurable impact across diverse markets.</p>\n<p>This team thrives on rapid testing, rigorous measurement, and creative problem solving, all while keeping user value at the centre of our decision-making.</p>\n<p>This role is based in New York, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Designing and executing global paid acquisition campaigns across multiple channels (search, social, influencer, programmatic, emerging formats) to drive high-quality user growth.</li>\n</ul>\n<ul>\n<li>Leading growth experiments and A/B testing - defining hypotheses, setting up measurement frameworks, enhancing conversions, and translating insights into scalable playbooks.</li>\n</ul>\n<ul>\n<li>Partnering with engineering and data science to build, test, and refine growth tooling, creative ops automation, and optimization algorithms.</li>\n</ul>\n<ul>\n<li>Managing full-funnel performance metrics, from reach/engagement to LTV/CAC, and identifying new opportunities for efficiency and scale.</li>\n</ul>\n<ul>\n<li>Developing AI-native workflows that transform how we scale, reach, personalize bringing users from out-of-product experiences to in-product entry points and LTV-optimized user journeys.</li>\n</ul>\n<ul>\n<li>Build AI-first creative systems, collaborating with design to rapidly prototype and test high-performing assets.</li>\n</ul>\n<ul>\n<li>Expanding growth channels and market coverage, with attention to localization and regional performance nuances.</li>\n</ul>\n<ul>\n<li>Driving influencer and creator partnerships as part of the paid and organic growth mix.</li>\n</ul>\n<ul>\n<li>Collaborating with product teams to improve in-product conversion and onboarding flows.</li>\n</ul>\n<ul>\n<li>Developing and refining our attribution models, marketing tech stack, and automation processes to ensure we’re always optimizing for maximum impact.</li>\n</ul>\n<p><strong>You might thrive in this role if you are/have:</strong></p>\n<ul>\n<li>8+ years of experience in growth marketing, performance marketing, or growth product management, ideally in high-growth tech.</li>\n</ul>\n<ul>\n<li>Proven ability to launch, scale, and optimize paid channels at significant budgets.</li>\n</ul>\n<ul>\n<li>Strong analytical skills and proficiency with measurement tools (Google Analytics, internal BI tools, experimentation platforms).</li>\n</ul>\n<ul>\n<li>Experience with AI-driven marketing tools, creative ops engineering, and workflow automation.</li>\n</ul>\n<ul>\n<li>Familiarity with engineering concepts and ability to work with technical teams to ship growth and martech infrastructure.</li>\n</ul>\n<ul>\n<li>A test-and-learn mindset and comfort with fast-paced, ambiguous environments.</li>\n</ul>\n<ul>\n<li>Excellent cross-functional communication skills and stakeholder management experience.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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