We’re on a mission to make knowledge work faster and more humane. We believe that AI will fundamentally transform how people work. In the future, everyone will work in tandem with expert AI assistants who find knowledge, create and synthesize information, and execute work. These assistants will free people up to focus on the higher-level, creative aspects of their work. We’re building a system of intelligence for every company in the world. On the surface, you can think of it as Google + ChatGPT for the enterprise. Under the hood, our platform is the connective tissue between AI and knowledge. It brings all of a company’s knowledge together, understands it at a deep level, provides industry-leading search relevance over it, and connects it to generative AI agents and applications.

Glean

Senior Data Scientist, Core Product

Manager, Delivery Excellence

Manager, AI Outcomes

AI Outcomes Manager (Sweden)

Data Scientist, Core Product

Delivery Excellence Manager- East

Glean is a Work AI platform that helps everyone work smarter with AI, offering intelligent Search, an AI Assistant, and scalable AI agents. It leverages an Enterprise Graph and Personal Knowledge Graph for personalized, context-aware responses. This Senior Data Scientist role, part of the Core Product Data Science team, focuses on owning measurement, insight, and impact for the Glean Assistant. Key responsibilities include defining AI KPIs, redefining user engagement for AI-first products, scaling analytics access, and influencing product roadmaps with quantitative frameworks and rigorous assessments.

Delivery Excellence Manager- Central

<h1 class="text-3xl md:text-4xl font-extrabold mt-6 mb-4 text-gray-900 tracking-tight">Senior Data Scientist, Core Product</h1>San Francisco Bay AreaAbout Glean:Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.About the RoleThis role sits on the Core Product Data Science team within R&D, part of a world-class organization spanning data science, applied science, data engineering, and analytics. Based in the Bay Area (San Francisco or South Bay), you'll be embedded at the center of where enterprise AI is heading.You Will:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Define what "good" looks like for AI — build the KPIs, pipelines, and dashboards that let the team move with conviction; lead logging improvements that turn nascent telemetry into a reliable foundation for decision-making</li><li class="leading-relaxed">Redefine user engagement for an AI-first product — measuring value when AI is doing half the work is an unsolved problem; you'll be on the frontier of figuring it out</li><li class="leading-relaxed">Scale analytics access — develop data models and self-serve tools so cross-functional partners can move fast from a shared, accurate source of truth — without a bottleneck</li><li class="leading-relaxed">Shape what gets built — identify what's working, what isn't, and why; influence roadmaps with quantitative frameworks and rigorous assessments of product-market fit</li><li class="leading-relaxed">Work on surfaces that are moving fast — Glean Chat evolving from informing users to co-performing complex work alongside them; new job types (document generation, data analysis, software engineering), new settings (meetings), new modalities (voice, image), and multi-user experiences</li></ul>This is a rare opportunity to do foundational data science work on AI products that are actually deployed at scale inside real organizations — not a research prototype, not a side bet. If you want to work at the center of where enterprise AI is heading, this is the role.About you:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">6+ years of experience in a quantitative data science role (3+ years with a PhD) in Statistics, Mathematics, Computer Science, or a related field</li><li class="leading-relaxed">Strong SQL and Python skills; comfortable with modern data stacks (dbt, analytics engineering pipelines)</li><li class="leading-relaxed">Fluent in AI tools as part of your everyday workflow</li><li class="leading-relaxed">Product and business mindset — you know how to define KPIs, set guardrails, and build dashboards that actually drive decisions</li><li class="leading-relaxed">Solid statistics foundation, including experimentation and causal inference</li><li class="leading-relaxed">Proven ability to work with messy, early-stage data and turn it into clear, actionable insights</li><li class="leading-relaxed">End-to-end ownership: from problem framing to delivery, you drive work independently</li><li class="leading-relaxed">Clear communicator across technical and non-technical audiences</li><li class="leading-relaxed">B2B SaaS experience, ideally in enterprise AI</li><li class="leading-relaxed">You are excited about improving internal tooling/processes in Data Science teams to make others more productive, e.g. improve AI adoption, improve A/B testing tooling etc.</li></ul>Location:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">This role is hybrid (4 days a week in one of our Bay Area offices)</li></ul>Compensation & Benefits:The standard base salary range for this position is $175,000 - $240,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.#LI-HYBRIDAI-First Mindset at Glean:At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required.

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Zinnia

Client Support Lead I

Research Program Manager

London stock Exchange

Senior Technical Implementation Specialist

level ai

Senior Sales Development Representative

Demonware

Intermediate or Senior UI Engineer, Gameplay

Senior Analyst, Strategy

Design Director

Expert System Designer

Zinnia is a leading technology platform for accelerating life and annuities growth. The Client Support Lead will provide support and advice to Client Operations Analysts, Service Managers, and Operational Leads on systems issues. This role involves taking ownership of client issues, coordinating timely resolutions with internal stakeholders, mentoring teammates, developing best practices, and driving the resolution of production issues. The lead will also assist in research, identify continuous improvement opportunities, and track incidents, providing regular updates to internal and external customers.

Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.

Sr Database Administrator

Senior Solutions Consultant

Technical Project Manager IV

Business, Solutions Architect

Product Manager - Compliance Workflow Automation

Product Manager I - Financial Systems Issue Resolution & Integration

Lead Product Manager

Product Manager (Technical)

Sr. Security Engineer I

<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">WHO WE ARE:</h2>Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">WHO YOU ARE:</h2>The Client Support Lead will provide support and advice to the Client Operations Analyst, Service Managers and Operational Leads on systems issues in both production support and development of new processes/support. CTL’s will report escalated Operational and Production incident items directly to the External client; and provide assistance to our Internal teams in the mitigation and resolution of issues.Client Support Leads are liaisons between Information Technology, Finance, Operations, Legal, Compliance and External clients on production incidents and are responsible for facilitating the flow of information between departments.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">WHAT YOU’LL DO:</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Take ownership of clients’ issues and coordinate with internal stakeholders for timely resolutions.</li><li class="leading-relaxed">Take lead in mentoring teammates to ensure constant improvement</li><li class="leading-relaxed">Develop best practices, standards, and policies for the team</li><li class="leading-relaxed">Completing research and providing analysis as needed to support Management in decision making</li><li class="leading-relaxed">Drive resolution of production issues</li><li class="leading-relaxed">Assist in the research and investigation of escalated production issues and engage teams for resolution</li><li class="leading-relaxed">Assist in identifying, developing and executing continuous improvement opportunities</li><li class="leading-relaxed">Facilitating business needs and priority identification</li><li class="leading-relaxed">Track incidents through completion while providing regular updates to both internal and external customers</li><li class="leading-relaxed">Document business impact, research and resolution steps and long-term preventative measures via incident reports</li><li class="leading-relaxed">Provide regular severity updates to Senior leadership, Others</li><li class="leading-relaxed">Flexibility in work schedule including regular participation in an On-Call rotation</li><li class="leading-relaxed">Role may require evening and/or weekend hours as needed to manage incidents/workload.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">WHAT YOU’LL NEED:</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">A bachelor’s degree in Computer Information Systems, Business Administration, or a related field; or a high school education and equivalent work experience in business analysis and application development</li><li class="leading-relaxed">Expert knowledge of SQL, client/server, and network environments</li><li class="leading-relaxed">Advanced Microsoft PC software experience (i.e., Excel, Word)</li><li class="leading-relaxed">Excellent written, oral and interpersonal communication skills</li><li class="leading-relaxed">Expert level troubleshooting skills</li><li class="leading-relaxed">Proven ability to lead and mentor teammates to ensure constant improvement</li><li class="leading-relaxed">Advanced understanding of multiple software applications</li><li class="leading-relaxed">Customer service skills with strong relationship management skills with the ability to interact positively and successfully with all level of associates and managers to meet business needs</li><li class="leading-relaxed">7-10 years’ work experience or an education in systems or quantitative analysis and business solutions development required</li><li class="leading-relaxed">Expert level Annuity and Life Insurance industry-related knowledge</li><li class="leading-relaxed">Experience in Annuity, mutual funds, financial services, or life insurance work experience preferred</li><li class="leading-relaxed">Experience in project management preferred</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">WHAT’S IN IT FOR YOU?</h2>Zinnia offers excellent career progression and competitive compensation. We offer great benefits, including health/dental insurance, parental leave, 401(k), incentive/bonus opportunity, tuition reimbursement, and so much more. We’re looking for the best and brightest innovators in the industry to join our team. At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.If you are resident in California, the CCPA applies to you, find the link to the appropriate privacy notice here stating how we collect and use your data in line with CCPA.

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

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Data Structures and Algorithms

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Programming Patterns

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Senior Data Scientist, Core Product

Manager, Delivery Excellence

Manager, AI Outcomes

Manager, Delivery Excellence

AI Outcomes Manager (Sweden)

Manager, AI Outcomes

Data Scientist, Core Product

Delivery Excellence Manager- East

Delivery Excellence Manager- East

Job Details