You'll build the AI-native GTM systems and data infrastructure that turn product usage signals into enterprise sales opportunities. Gamma's PLG flywheel generates enormous engagement data across millions of users. Your job is to create the systems that identify which accounts should talk to sales, when they're ready, and why.
\nThis is a 0-to-1 role at the intersection of data, product, and revenue. You'll build Product Qualified Lead identification systems, design AI-powered lead scoring models, and implement data pipelines that give sales and customer success real-time visibility into engagement and expansion signals. You'll partner with Product and Data teams to instrument tracking, ensure data quality, and continuously improve how we identify and convert high-intent accounts.
\nOur team has a strong in-office culture and works in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.
\nResponsibilities
\nWhat you'll bring
\nCompensation range
\nThe base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $170K - $215K plus benefits & equity.
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\nOur corporate values, Care, Integrity, Passion, Unity, and Excellence,are at the heart of everything we do. These values define how we operate, how we treat one another, and how we engage with our partners, customers, and the communities we serve.
\nThe Senior Manager, Digital Media Analytics at Valvoline Global turns complex marketing and business data into clear insights that shape communications strategies, deepen audience understanding, and measure impact across earned, owned, and paid channels. This role blends analytical expertise with creative storytelling, partnering closely with commercial, marketing, operations, and finance teams to design and deliver high-impact analytical solutions that uncover opportunities and drive smarter, more effective decisions.
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\nHelp define the team's roadmap and ways of working as a founding member of Marketing Analytics - your input will help shape this function.
\nAct as a senior role model in the team, sharing best practices and helping raise the bar for data science at Holidu.
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\nExperience with marketing data science use cases such as attribution modeling, customer lifetime value prediction, churn modeling, or bid optimization is also required. You should have a solid understanding of marketing concepts across channels (e.g. Performance Marketing, SEO, CRM, Affiliate) and how data science can improve them.
\nAdditionally, you should have experience working with modern data stacks, ideally including AWS (Redshift, Athena, S3), Airflow, dbt, and Git. A collaborative mindset paired with great communication skills is essential, as you'll need to work with diverse stakeholders and explain complex topics in a simple way.
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\nIf you're excited about the opportunity to shape the future of travel with products used by millions of guests and thousands of hosts, apply now!
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\nWe work across a wide range of tools and datasets -from dashboards and forecasts to detailed analytical deep dives - helping the business stay focused, aligned, and data-informed.
\nTo support our growth and enable us to scale efficiently, we are seeking an exceptional Senior Data Analyst to drive sales strategy, planning, reporting, and analysis efforts.
\nIn this position, you will play a strategic role in driving data-informed decision-making across Elastic’s Global Revenue Operations organization and broader go-to-market ecosystem.
\nYou will work on high-impact analysis and develop scalable, leadership-level reporting to support sales effectiveness, pipeline optimization, and revenue growth.
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\nYour insights will shape how we plan, operate, and improve over time.
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\nLearning, Growing, and Making an Impact
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\nAdditional Information
\nAs a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life.
\nYour age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
\nWe strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
\nWe match up to $2000 (or local currency equivalent) for financial donations and service
\nUp to 40 hours each year to use toward volunteer projects you love
\nEmbracing parenthood with minimum of 16 weeks of parental leave
\nDifferent people approach problems differently. We need that.
\nElastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds.
\nQualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.
\nWe welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals.
\nTo request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co.
\nWe will reply to your request within 24 business hours of submission.
\nApplicants have rights under Federal Employment Laws, view posters linked below:
\nFamily and Medical Leave Act (FMLA) Poster;
\nPay Transparency Nondiscrimination Provision Poster;
\nEmployee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)
\nElastic develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia).
\nIf you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role.
\nPlease note that national origin and/or nationality do not affect eligibility for employment with Elastic.
\nPlease see here for our Privacy Statement.
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\nAs healthcare organisations accelerate their adoption of AI and data-driven approaches to care, the way they evaluate and adopt platforms like Zus is changing. This role sits at the intersection of technical strategy, customer partnership, and market shaping.
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\nHow to Apply
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\nVice President, West Provider Network Development & Technology Deployment
\nJob Description
\nWaymark is a mission-driven team of healthcare providers, technologists, and builders working to transform care for people with Medicaid benefits. We partner with communities to deliver technology-enabled, human-centered support that helps patients stay healthy and thrive.
\nWe're designing tools and systems that bring care directly to those who need it most,removing barriers and reimagining what's possible in Medicaid healthcare delivery.
\nKey Responsibilities
\nMinimum Qualifications
\nPreferred Qualifications
\nSalary and Benefits
\nThe salary range for this role is $140,000 - $185,000 per year, depending on location. In addition to salary, we offer a comprehensive benefits package, including stock options, incentive program, work-from-home stipend, medical, vision, and dental coverage, life insurance, paid time off, parental leave, retirement savings, commuter benefits, and professional development stipend.
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\nThe successful candidate will provide advanced condition monitoring and analysis of data important to the safe, reliable, and efficient operation of SPC's solar, wind, and energy storage assets.
\nKey responsibilities include:
\nThe ideal candidate will have hands-on experience building trends and analyzing data, as well as knowledge and experience in monitoring transformers and operations and maintenance in renewable energy technologies.
\nStrong analytical and problem-solving skills, with the ability to interpret time-series data, are essential. Proven interpersonal and communication skills, with the ability to produce business cases to justify financial investment decisions, technology tools / upgrades, etc., are also required.
\nIn addition, the successful candidate will be able to make timely decisions, apply seasoned judgment, and display personal responsibility, and will be a team player able to quickly build good, working relationships.
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\nTeam Function:
\nThe CAS (Customer Agent Solutions) Digital Service Operations team manages the E2E digital service operations for all digital channels. The team collaborates with multiple cross-functional teams and bridges the gap between strategic goals and daily execution by day-to-day management of performance monitoring, defect management, optimization testing, infra and capabilities functions to ensure operations delivers on its daily/weekly/monthly handling objectives. Works as liaison between product and technology operations to reach the forecasted KPI targets for digital service customer experiences.
\nRole Description:
\nThis role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.
\nAs a Digital Product Operations Manager, you will:
\nKey Responsibilities:
\nExperience & Education Requirements:
\nOther Critical Skills:
\nSoftware / Tool Skills:
\nRequirements:
\nMust to have Skiils:
\nBenefits:
\nCompetitive compensation and benefits package:
\nNote: Benefits differ based on employee level.
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\nAs a Customer Experience Digital Operations Manager, you will oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements. You will define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.
\nYou will drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback. You will manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.
\nYou will build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc. You will use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.
\nYou will partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution. You will apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.
\nYou will evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service. You will promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.
\nYou will lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations. You will support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.
\nKey Responsibilities
\nExperience & Education Requirements:
\nRequirements
\nSoftware / Tool Skills
\nBenefits
\nNote: Benefits differ based on employee level.
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\nKey Responsibilities
\nExperience & Education Requirements
\nOther Critical Skills
\nSoftware / Tool Skills
\nRequirements
\nBenefits
\nNote: Benefits differ based on employee level.
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\nResponsibilities
\nKey Responsibilities
\nExperience & Education Requirements
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\nOther Critical Skills:
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\nKey responsibilities include leading product portfolio optimization, rate filings, and competitive market assessments. The candidate will also drive digital transformation initiatives, evaluating InsurTech solutions such as telematics-based pricing, AI-driven claims automation, and predictive analytics for risk segmentation. Additionally, they will support regulatory advisory projects, ensuring compliance with state DOI regulations, NAIC model laws, and evolving legislative changes.
\nThe ideal candidate will have 10+ years of P&C insurance product management or consulting experience, strong expertise in personal lines pricing, underwriting, and compliance, and familiarity with technology platforms like Guidewire, Duck Creek, and Majesco. Preferred qualifications include CPCU, AINS, ARM, Lean Six Sigma, or PMP certifications.
\nThis is an exciting opportunity to work with leading insurers on high-impact projects, leveraging data-driven strategies and InsurTech solutions to reshape the future of personal lines insurance. Join us and contribute to strategic innovation, regulatory excellence, and digital transformation in the insurance industry.
\nKey Responsibilities:
\nThe key responsibilities of this role will include supporting Client and Internal Project Teams with a mix of the following capabilities:
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\nRegulatory Compliance & Market Strategy
\nInsurTech Enablement & Digital Transformation
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\nProject Leadership & Stakeholder Engagement
\nRequirements
\nBenefits
\nThis position comes with competitive compensation and benefits package:
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\nLocation
\nSan Francisco
\nEmployment Type
\nFull time
\nDepartment
\nFinance
\nCompensation
\nThe 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.
\nBenefits
\nAbout the Team
\nWe are looking for a Director of Data Engineering and Agentic AI Automation to lead the next generation of our finance data infrastructure. As OpenAI expands its Finance operations, we need scalable and trustworthy data systems to match the pace and complexity of our growth. This includes well-modeled, auditable data for revenue recognition, financial reporting, and planning, supported by reliable pipelines that connect ERP, planning, and operational systems. You will lead a group of analytics engineers, data engineers, and AI engineers to build the data pipelines that connect our internal engineering systems with enterprise platforms such as Oracle Fusion ERP. This role will also define the roadmap for agentic AI automation, enabling intelligent workflows, process automation, and AI-driven decision-making across Finance.
\nIn this role, you will:
\nYou might thrive in this role if you have:
\nWork Environment
\nThis role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
\nXML job scraping automation by YubHub
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\nMicrosoft AI are looking for a talented Member of Technical Staff, Hardware Health, to ensure these systems deliver sustained reliability, performance, and availability across exascale-class deployments.
\nAbout the Role
\nWe work closely with research, hardware, datacenter, and platform engineering teams to develop predictive health models, failure detection frameworks, and autonomous remediation systems that keep our AI clusters operating at frontier scale. Our team is responsible for Copilot, Bing, Edge, and generative AI research.
\nAccountabilities
\nThe Candidate we're looking for
\nExperience:
\nTechnical skills:
\nPersonal attributes:
\nBenefits
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