ai content specialist Jobs in San Francisco

ai content specialist

ai engineer

ai engineer, ai & data platforms (aidp) Jobs in San Francisco

ai engineer, ai & data platforms (aidp)

ai engineering lead Jobs in San Francisco

ai engineering lead

ai research engineer Jobs in San Francisco

ai research engineer

ai transformation specialist

nclouds

<div>San Francisco...This AWS Role Is For You.

If you thrive in the field, build trust quickly with AWS sellers, and know how to turn AOs into revenue, this is the role built for you. We&rsquo;re looking for a Senior Account Executive with AWS Partner Sales experience to represent nClouds. This is not an inside sales role, it&rsquo;s a true field motion where success is earned through presence, relationships, and execution.

As an AWS Premier Tier Services Partner, nClouds wins by being side-by-side with AWS AEs, DMs, and PSMs to identify opportunities, build pipeline, and deliver outcomes that matter. You&rsquo;ll collaborate directly with AWS field teams, drive the full co-sell cycle from AO close, and help customers accelerate their journey on AWS.

If the AWS field knows your name, you&rsquo;re trusted in the ecosystem, and you're looking for a high-impact role with the autonomy to win, let&rsquo;s talk.

Qualifications &amp; Requirements

Candidates must meet the following criteria to be considered:
<ul>
<li>Mandatory AWS Ecosystem Experience</li>
<li>Direct experience working with AWS -either as an AWS employee or in a sales role for an AWS Consulting or ISV Partner, with proven collaboration across AWS Start-up, SMB, or Enterprise segment sales teams</li>
<li>Existing AWS field relationships, including with AWS Account Executives and Partner Sales Managers (PSMs)</li>
<li>Strong understanding of the AWS co-sell motion, including ACE registration, AO lifecycle, and familiarity with AWS funding programs</li>
<li>Demonstrated ability to generate AOs and convert them into booked revenue through consistent engagement, follow-up, and joint customer interaction</li>
<li>Must have AWS technology sales experience, ideally in consulting or professional services within the AWS ecosystem</li>
<li>Proven ability to earn trust and build long-term relationships with AWS sellers and customer executives</li>
<li>Strong knowledge of AWS-based Data, Analytics, AI/ML, and Cloud Transformation solutions</li>
<li>Excellent communication, negotiation, and executive presentation skills; ability to represent nClouds as a trusted AWS Premier Partner</li></ul> 


Location &amp; Presence Expectations
<ul>
<li>Must be based in, or able to commute regularly to the San Francisco, Los Angeles, and Seattle AWS hubs.</li>
<li>Expected to be onsite in AWS offices at least 2 days per week to collaborate with AWS and internal teams (with flexibility for remote work for the remainder)</li>
<li>Ability to travel up to 50% for AWS, customer, and industry engagements</li>
<li>Candidates without prior AWS or AWS-partner experience will not be considered.</li></ul></div>

Senior Account Executive

Google

<div>
 Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
 
 
 Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
 
 
 This role may also be located in our Playa Vista, CA campus.
 
 
 The application window will be open until at least June 7, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
 
 
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 New York, NY, USA; Boulder, CO, USA; Chicago, IL, USA; Los Angeles, CA, USA; San Francisco, CA, USA; Atlanta, GA, USA; Mountain View, CA, USA
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in education or equivalent practical experience.
 </li>
 <li>
 1 year of experience in instructional design or learning experience design in an agile environment.
 </li>
 <li>
 Experience with video literacy principles: shot language, visual hierarchy, and the 3-second rule.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Experience with Gemini, Notebook LM, and AI Studio for scripting, research, and asset generation.
 </li>
 <li>
 Proficiency in adobe creative suite (premiere pro, after effects) or Google Vids for high-quality narrative and instructional video.
 </li>
 <li>
 Ability to manage stakeholders through organizational shifts and transition from doing to engineering scalable solutions.
 </li>
 <li>
 Ability to build interactive infographics and web experiences using natural language and low-code environments.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Global Business Organization Education's (GBOedu's) mission is to transform capability development into an engaged advantage by building an adaptive, AI-infused learning ecosystem that delivers direct commercial value for the business.
 
 
 We are a dynamic organization of learning professionals dedicated to architecting and delivering scalable, role-specific learning strategies across business units. By bridging the gap between global strategy and local activation, GBOedu ensures our global employees possess the critical skills needed to maximize their impact and thrive in a rapidly evolving, AI-first commercial landscape.
 
 
 As a Learning Specialist (LS) within GBO, you are a "producer-director" at an integrated, agile value chain. In this role, you will move away from traditional, long-lead content creation and slow, bespoke builds toward a highly automated "adapt and adopt" modular content engine. You will be a consultative partner and functional authority who leverages AI-native tools to compress development cycles from months into weeks, automating 60&ndash;80% of the development process.
 
 
 Supporting either our product portfolios or non-sales initiatives, you will manage global learning strategies and set the bar for technical and operational fluency. You will navigate technical roadmaps seamlessly minimizing the need for lengthy subject matter expert (SME) discovery cycles and will be directly responsible for both designing rapid, high-impact curriculum and selecting and leveraging existing modular assets from the shelf. You will ensure innovation, technical accuracy, and zero drop-off in service as we transition into an automated, modular future.
 
 
 The US base salary range for this full-time position is $95,000-$135,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
 
 
 Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Partner with executive stakeholders to conduct needs analyses, translating business requirements into technical blueprints while using an intake process to ensure alignment with key priorities.
 </li>
 <li>
 Build and maintain modular learning assets designed for optimal global reuse, ensuring core content needs are met efficiently while strategically reserving capacity for hyper-local innovation.
 </li>
 <li>
 Act as an innovative creative producer, leveraging advanced AI tools to automate design workflows and pioneer interactive, next-generation learning formats.
 </li>
 <li>
 Integrate AI-driven practice complements and simulation tools into the curriculum to accelerate learning cycles and move professionals from knowledge to operational adoption.
 </li>
 <li>
 Manage the full project lifecycle including vendor guidelines and leadership reviews while utilizing advanced evaluation strategies to ensure predictable deployment and measurable program impact.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Learning Design Specialist

UCSF Health

<div>
 
 Job Summary
 
 
 
 
 JOB DESCRIPTION
 
 
 
 The NeuroAI Lab at UCSF, led by Assistant Professor Pedro Pinheiro-Chagas, invites applications for a Data Scientist to support and advance our research initiatives at the intersection of AI and cognitive neuroscience. The successful candidate will contribute to a multidisciplinary team developing cutting-edge AI systems for the discovery, diagnosis, and care of neurodegenerative diseases. The Data Scientist will work across the lab&rsquo;s core research areas, including: (1) foundation AI models that leverage large-scale
 
 
 clinical databases to identify disease subtypes and risk factors; (2) agentic AI decision support systems that synthesize multimodal patient data for specialist-level diagnoses; and (3) AI conversational agents for scalable clinical assessments. The role involves designing and maintaining robust data pipelines, curating and analyzing complex multimodal datasets (clinical notes, neuropsychological assessments, neuroimaging), developing and evaluating machine learning models, and contributing to research publications. The ideal candidate will have strong programming skills and experience with generative AI and traditional ML algorithms, a passion for translational research, and the ability to work effectively across disciplines. This position offers exceptional opportunities for professional growth at the forefront of health AI, with direct exposure to world-class clinical collaborators and the potential to impact real-world patient care.
 
 
 
 Department Description
 
 
 
 The NeuroAI Lab operates at the UCSF Memory and Aging Center-Department of Neurology - Weill Institute for Neuroscience . We are also affiliated with the Bakar Computational Health Sciences Institute and the Center for Intelligent Imaging (ci2) .
 
 
 
 Responsibilities
 
 
 
 %
 
 
 
 of time
 
 
 
 
 Essential Function (Yes/No
 
 )
 
 
 
 Key Responsibilities
 
 
 
 
 
 (To be completed by Supervisor)
 
 
 
 
 20%
 
 
 
 Plans long-term statistical studies, including the preparation of proposals, design of survey instruments and determining sampling procedures.
 
 
 
 20%
 
 
 
 Gathers, analyzes, prepares and summarizes the collection of information and data; recommends statistical approaches, trends, sources and uses.
 
 
 
 5%
 
 
 
 Prepares data for presentation.
 
 
 
 10%
 
 
 
 Identifies multivariate strategies.
 
 
 
 5%
 
 
 
 Prepares reports of studies for internal validation and cross validation studies.
 
 
 
 5%
 
 
 
 Analyzes the interrelationships of data and defines logical aspects of data sets.
 
 
 
 10%
 
 
 
 Develops systems for organizing data to analyze, identify and report trends.
 
 
 
 10%
 
 
 
 Manages database of research data for projects.
 
 
 
 5%
 
 
 
 Reviews new software instruments and potential effects on statistical testing. May make programming modifications.
 
 
 
 5%
 
 
 
 Participates in development and implementation of data security policies and procedures.
 
 
 
 5%
 
 
 
 Keeps abreast of technical advances in storage, documentation and dissemination of computerized data.
 
 
 
 0
 
 
 0
 
 
 0
 
 
 0
 
 
 100%
 
 
 
 
 (To update total %, enter the amount of time in whole numbers (without the % symbol - e.g., 15, 20) then highlight the total sum (e.g., 1%) at the bottom of the column and press F9. The total sum should add up to 100%.)
 
 
 
 
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in related area and / or equivalent experience / training.
 </li>
 <li>
 Proficiency in Python, with demonstrated experience in data analysis, machine learning, and statistical modeling.
 </li>
 <li>
 Experience building and maintaining data pipelines, integrating APIs, and working with large-scale datasets.
 </li>
 <li>
 Familiarity with version control (Git) and collaborative software development practices.
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to work independently and manage multiple projects.
 </li>
 <li>
 Excellent written and verbal communication skills.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Data Science, Biomedical Informatics, Computational Neuroscience, Biostatistics, or a related quantitative field.
 </li>
 <li>
 Experience with LLMs.
 </li>
 <li>
 Familiarity with clinical, cognitive, or health-related datasets (e.g., electronic health records, neuroimaging, neuropsychological assessments).
 </li>
 <li>
 Knowledge of data security, privacy, and regulatory standards for clinical applications (e.g., HIPAA compliance).
 </li>
 <li>
 Experience with deep learning frameworks (PyTorch, TensorFlow) and cloud computing platforms.
 </li>
 <li>
 Track record of peer-reviewed publications or contributions to open-source projects.
 </li>
 <li>
 Interest in or experience with agentic AI architectures, retrieval-augmented generation (RAG), or multi-agent systems.
 </li>
 <li>
 Ability to thrive in a fast-paced, multidisciplinary research environment.
 
 
 </li>
 </ul>
 
 About UCSF
 
 
 
 
 ABOUT US
 
 
 
 The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world&rsquo;s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.
 
 
 
 Pride Values
 
 
 
 UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence &ndash; also known as our PRIDE values .
 
 
 In addition to our PRIDE values, UCSF is committed to equity &ndash; both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available here .
 
 
 Join us to find a rewarding career contributing to improving healthcare worldwide.
 
 
 
 Equal Employment Opportunity
 
 
 
 
 The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
 
 
 
 
 Salary Information
 
 
 
 The final salary and offer components are subject to additional approvals based on UC policy.
 
 
 Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.
 
 
 To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html
</div>

Data Scientist

OpenAI

About the Team
 
The Codex Cloud Apps team builds cloud-native agentic products that reimagine how software is created, reviewed, deployed, and operated. We own end-user experiences such as ChatGPT Sites, Code Review, and future agentic automation products that allow individuals and organizations to delegate increasingly complex work to AI.
 
Our team sits at the intersection of product, engineering, design, and research. We work directly with customers and internal teams to discover entirely new workflows enabled by AI agents, then rapidly turn those ideas into production products used by millions of users and enterprises around the world.
 
About the Role
 
In this role, you'll help define what AI-native software products look like. You'll build experiences that allow users to collaborate with AI agents, automate complex workflows, and create entirely new classes of applications that weren't previously possible.
 
You'll work across product design, backend systems, frontend experiences, enterprise features, and model capabilities to ship products quickly, learn from real-world usage, and continuously improve how people use agents in the cloud.
 
In this role, you will: 
Design and build end-to-end agentic product experiences across web, desktop, mobile, APIs, and integrations.
 
Work directly with customers to understand how individuals and organizations adopt AI agents, and translate those insights into product direction.
 
Build products such as AI-powered code review, application generation, workflow automation, and future agentic experiences.
 
Partner closely with research teams to transform new model capabilities into usable, reliable customer-facing features.
 
Design enterprise-ready capabilities including identity, governance, permissions, compliance, auditability, and analytics.
 
Prototype quickly, ship frequently, and use product telemetry and customer feedback to guide iteration.
 
Help define entirely new interaction patterns between humans and AI agents to accomplish tasks together.
 
You might thrive in this role if you: 
Have strong full-stack engineering skills and experience shipping customer-facing products from concept to production to refinement.
 
Strong product instincts and a track record of turning ambiguous ideas into successful products.
 
Experience building developer tools, SaaS products, workflow systems, collaboration tools, or AI-powered products.
 
Experience working closely with users and customers and translating feedback into product improvements.
 
Familiarity with modern AI-assisted development workflows and agentic software systems.
 
Experience with enterprise software concepts such as identity, permissions, governance, compliance, and integrations.
 
Comfort working across frontend, backend, APIs, data models, and product design.
 
Enjoy fast-moving 0→1 environments and are excited by defining entirely new categories of software.
 
About OpenAI
 
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
For additional information, please see
 
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
 
this form
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
Compensation
 
$230K – $325K + Offers Equity

Software Engineer, Codex Cloud Apps

Loop

<div>
 
 About Loop
 
 
 
 Loop is on a mission to unlock profits trapped in the supply chain (https://loop.com/article/unlock-profit-trapped-in-your-supply-chain) and lower costs for consumers. Bad data and inefficient workflows create friction that limits working capital and raises costs for every supply chain stakeholder.
 
 
 Loop&rsquo;s modern audit and pay platform uses our domain-driven AI to harness the complexity of supply chain data and documentation. We improve transportation spend visibility so companies can control their costs and power profit. That is why industry leaders like J.P. Morgan Chase, Great Dane, Emerge, and Loadsmart work with Loop.
 
 
 Our investors include J.P. Morgan, Index Ventures, Founders Fund, 8VC, Susa Ventures, Flexport, and 50 industry-leading angel investors. Our team brings subject matter expertise from companies like Uber, Google, Flexport, Meta, Samsara, Intuit, Rakuten, and long-standing industry leaders like C.H. Robinson.
 
 
 
 About The Role
 
 
 
 Loop is growing its AI team and you&rsquo;ll have the opportunity to build both AI models and features that directly impact Loop&rsquo;s business. Loop is positioned to disrupt the incumbent freight audit and pay market, and is one of the companies leading the AI services wave, utilizing AI to automate complex back-office workflows and tasks. You will face and solve many complex technical challenges while you receive guidance and feedback from the team. The range of work here is broad, you can work on everything from training and deploying in-house multimodal LLMs, scaling our inference infrastructure, or building out and shipping agentic workflows. In doing so, you&rsquo;ll have the opportunity to define how the AI and broader Loop team will grow.
 
 
 
 What you will work on
 
 
 
 Our primary focus has been on document extraction and understanding, where we utilize multimodal LLMs, including our own in-house foundation model, to extract, normalize, and link data together into our domain model. As Loop&rsquo;s customers rely on Loop to ingest and normalize highly accurate data, we hold ourselves to a high standard to build models with a very high level of accuracy. In tandem, Loop&rsquo;s machine learning platform requires a high degree of reliability and scalability, and we expect our training and inference volume to scale several orders of magnitude in the coming year. Going forward, Loop will expand its AI capabilities, expanding into other areas such as workflow automation and audit, where we will utilize agents to tackle these problems.
 
 
 This role spans multiple domains:
 
 
 <ul>
 <li>
 ML modeling &ndash; training, evaluating, and deploying models.
 </li>
 <li>
 AI engineering &ndash; utilizing and orchestrating API LLM models to build agents to solve business problems at Loop.
 </li>
 <li>
 Backend engineering &ndash; building out frameworks to enable AI agents at scale.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 1+ years of hands-on experience in deep learning frameworks (e.g., PyTorch, Tensorflow, etc.) or shipping agents to production.
 </li>
 <li>
 Solid understanding of fundamental ML algorithms, especially multimodal LLMs.
 </li>
 <li>
 Experience fine-tuning LLMs and deploying them to production or building out agentic systems.
 </li>
 <li>
 Ability to ship high-quality code to production.
 </li>
 <li>
 Experience in cloud environments (AWS, Google, Azure).
 </li>
 <li>
 Strong communication skills and willingness to collaborate in a cross-functional team environment with domain experts.
 </li>
 <li>
 Keep up to date with the latest AI research.
 </li>
 <li>
 Ability to work in a fast-paced environment.
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 <ul>
 <li>
 Base pay 130k - 200k
 
 
 </li>
 </ul>
 
 Benefits &amp; Perks
 
 
 
 <ul>
 <li>
 Premium Medical, Dental, and Vision Insurance plans
 </li>
 <li>
 Insurance premiums covered 100% for you
 </li>
 <li>
 Unlimited PTO
 </li>
 <li>
 Fireside chats with industry leading keynote speakers
 </li>
 <li>
 Off-sites in locales such as Napa and Tahoe
 </li>
 <li>
 Generous professional development budget to feed your curiosity
 </li>
 <li>
 Physical and Mental fitness subsidies for yoga, meditation, gym, or ski memberships
 </li>
 </ul>
</div>

AI Engineer

Glean Technologies

<div><div><div>About Glean:
</div><div></div><div>Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry&rsquo;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.
</div><div></div><div>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&rsquo;s agentic capabilities - AI agents that automate real work across teams by accessing the industry&rsquo;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.
</div><div></div><div>Recognized by Fast Company as one of the World&rsquo;s Most Innovative Companies (Top 10, 2025), by CNBC&rsquo;s Disruptor 50, Bloomberg&rsquo;s AI Startups to Watch (2026), Forbes AI 50, and Gartner&rsquo;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&rsquo;re helping the world&rsquo;s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.
</div><div></div><div>If you&rsquo;re excited to shape how the world works, you&rsquo;ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You&rsquo;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.
</div></div><div></div><div><div>About the Role:
</div><div></div><div>Glean is seeking a highly strategic and execution-oriented Product Manager, Core Experience product area &mdash; the full-stack, high-polish, consumer-grade experiences that define how every user interacts with Glean.
</div><div></div><div>This role sits at the intersection of AI, consumer-quality product craft, growth, and platform strategy. You will own the surfaces where users start and do their work every day &mdash; Homepage, Mobile, Desktop, Browser Extension, and SDK, plus the app shell, navigation, notifications, and settings &mdash; and shape a single, consistent product journey across all of Glean's touchpoints. This role closely partners with the Search and Chat teams, and is a primary voice in shaping how those surfaces show up across the end-to-end user experience.
</div><div></div><div>Glean's company strategy centers on making Glean the central, contextual AI entry point for work: a single, chat-first experience that users reach for the moment they sit down to work. The Core Experience area is how we deliver on that promise: by obsessing over engagement, session depth, virality, collaboration, onboarding, and rapid experimentation to turn first-time users into daily, mission-critical habits.
</div><div></div><div>You will work closely with the Product lead and cross-functional partners across engineering, design, data, growth, go-to-market, and customer-facing teams to identify the right product bets, raise the bar on craft and polish, and translate a broad vision into concrete, shippable experiences. We're currently a very lean product team, so you'll have an outsized role in shaping both the product roadmap and the product team itself.
</div><div></div><div>This role is ideal for someone with 8+ years of experience, a deep industry overview and passion for AI, and the ability to demonstrate granular product implementation skills such as designing specific user interfaces and workflows rather than staying at a high conceptual level.
</div><div></div><div>You will:
</div><div><ul><li>Help define and drive the product strategy and roadmap for Core Experience, translating broad company vision into specific product bets, experiences, and execution plans informed by customer needs, usage data, and market signals.</li>
<li>Own the end-to-end quality of Glean's core surfaces &mdash; Homepage, Mobile, Desktop, Extension, and SDK, plus the app shell, navigation, and settings &mdash; driving a single, consistent, consumer-grade product journey across every touchpoint.</li>
<li>Partner exceptionally closely with the Search and Chat teams, to influence their roadmaps and ensure they integrate seamlessly into a cohesive end-to-end user journey.</li>
<li>Spend significant time with users, customers, and internal stakeholders to understand how people start and complete work in Glean, and where friction, drop-off, or fragmentation is costing engagement and retention.</li>
<li>Drive growth, engagement, virality, collaboration, and session depth as first-class outcomes, partnering with growth and data teams on activation, onboarding, and retention across entry points.</li>
<li>Champion rapid experimentation, using A/B tests, instrumentation, and qualitative research to learn fast, raise core metrics, and make confident, data-driven product decisions.</li>
<li>Partner deeply with engineering, design, and data teams to turn ambiguous concepts into well-scoped products, with clear user flows, interaction patterns, quality standards, and measurable outcomes.</li>
<li>Drive customer-focused prioritization and efficient execution, balancing long-term platform opportunities with urgent user pain points, strategic customer asks, and company priorities.</li>
<li>Collaborate closely with go-to-market, solutions, support, and forward-deployed teams to learn from real customer problems and ensure our product strategy reflects enterprise realities, not just internal assumptions.</li>
<li>Bring a high bar for product craft by not only identifying the right opportunities, but also specifying how they should work in practice, including concrete workflows, UI behavior, performance, and adoption paths.</li>
</ul></div><div>About you:
</div><div><ul><li>You have 8+ years of experience in product management, with a track record of owning and shipping meaningful product areas in B2B SaaS, enterprise software, AI products, consumer products, or high-engagement workflow platforms.</li>
<li>You have a strong product sense for translating complex, ambiguous problems into clear, polished product experiences, and you are comfortable moving between strategy and detailed execution.</li>
<li>You have a deep interest in AI and software, and you are excited by the opportunity to shape consumer-grade experiences that combine search, chat, context, and proactive intelligence.</li>
<li>You have a strong track record of driving growth, engagement, and retention through experimentation, instrumentation, and data-driven iteration.</li>
<li>You are an outstanding cross-functional partner and influencer who can drive outcomes across surfaces you don't directly own, aligning adjacent teams into a cohesive user experience.</li>
<li>You have strong technical fluency and are comfortable partnering with engineering and data teams on systems involving retrieval, ranking, client infrastructure, and intelligence layers across web, desktop, mobile, and SDK surfaces.</li>
<li>You can demonstrate granular product thinking, including how a user should experience a workflow, what the right interaction model is, and how to sequence product capabilities into something customers will actually adopt.</li>
<li>You are comfortable operating in highly ambiguous spaces and can create clarity, momentum, and alignment even when the product area is still emerging.</li>
<li>You are an excellent written and verbal communicator, and have a learning and growth mindset.</li>
<li>You have a proven track record of taking ownership, taking initiative, and delivering results, and collaborate effectively with cross-functional partners.</li>
<li>You are mission-first and understand that your success is measured by your product and team's success.</li>
<li>You are an early adopter in building with or adopting AI for your own product craft and you are excited about helping customers accelerate their own AI adoption journey.</li>
</ul></div><div>Location:
</div><div><ul><li>This role is hybrid (4 days a week in our San Francisco office)</li>
</ul></div><div>Compensation &amp; Benefits:
</div><div></div><div>The standard base salary range for this position is $200,000 - $300,000 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.
</div><div></div><div>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.
</div><div></div><div>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.
</div><div></div><div>#LI-HYBRID
</div></div><div></div><div><div>AI-First Mindset at Glean:
</div><div></div><div>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 &mdash; prior Glean experience isn't required.
</div><div></div><div>Global Data Privacy Notice for Job Candidates and Applicants:
</div><div></div><div>Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.</div></div></div><div></div>

Product Manager, Core Experience

LawnStarter

<div>About LawnStarter
LawnStarter is the nation's leading on demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We are expanding beyond lawn care to become the one stop shop for all home services. Becoming the most discovered, cited, and trusted brand in our category is how we get there.
About the Growth Team
Growth owns the full acquisition funnel across our brand portfolio. Some of the most recognized names in outdoor services, reaching millions of homeowners every year. SEO and organic discovery are foundational to how customers find us, and this role leads the team responsible for making that happen at scale. You will report directly to the CMO and operate at the intersection of content, technical SEO, product, and the emerging world of AI powered search.
The Challenge
The game changed. Rankings are no longer the prize. Recommendation is. When a homeowner asks ChatGPT, Claude, Perplexity or Google AI who to hire, our job is to be the answer. Not page one. The answer.
That takes two bets running together. First, brand presence across every surface where homeowners and machines form trust. PR, journalists, creators, community platforms, review sites, Reddit, Nextdoor, partner ecosystems. Authority comes from the network, not from the page. Second, exposing first party data nobody else can publish. Pricing patterns. Completion times. Regional demand. Marketplace outcomes. That is the kind of original, expert evidence AI systems reward and that commodity SEO can no longer produce.
We have a talented team and strong brand equity. What we need is the leader who already operates this way and has the results to prove it. Not one we have to convince.
The Role
You will own organic search and AI discovery across our brand portfolio. You set the vision, the roadmap, and the standards for how we compete in a world where Google, ChatGPT, Perplexity, and AI Mode are all becoming primary discovery surfaces.
The team is small by design. One SEO analyst. A lean research and editorial group that produces data driven studies and guides. A no code publishing platform that gives you direct control of thousands of pages. Several strategic functions sit intentionally unowned and waiting for you to define. AI visibility tracking. Editorial direction. Content pruning. Expert sourcing strategy. You decide what to keep, what to retire, and what to build. We are scaling leverage, not headcount.
This is a strategic, high visibility role. You will shape company wide priorities, partner with engineering, data, product, design, and executive leadership, and be the internal authority on where organic discovery is heading and what it takes to win.
What makes this role different.<ul><li>
You are building a new playbook, not optimizing an old one. The opportunity requires fresh thinking about how technical SEO, content, structured data, and AI visibility work together in 2026 and beyond.</li><li>
Multiple major brands, millions of users, real revenue stakes. Organic drives a meaningful share of our business. The decisions you make here compound across our entire brand portfolio at scale.</li><li>
AI Search is the frontier. Google AI Overviews, ChatGPT, Perplexity. You are not just optimizing for blue links anymore. This role requires genuine expertise in how LLMs and answer engines discover, evaluate, and cite content.</li><li>
You have leverage. A small internal core, a no code publishing platform that gives you direct control of thousands of city, near-me, service, and informational pages (including schema markup and meta data), and first party data nobody else in the category can publish. No engineering dependency. No sprint queues. Move at the speed of a hypothesis. Direct what is here. Build what is missing. Decide what to add.</li></ul>
What You'll Own<ul><li>
Organic strategy across our brand portfolio. The vision, roadmap, and standards for how our brands compete in organic search and AI powered discovery.</li><li>
AI Search visibility. Establishing our brands as cited, authoritative sources in Google AI Overviews, ChatGPT, Perplexity, and emerging conversational search surfaces. Through answer first content architecture, entity authority, and structured data that AI systems can discover, extract, and trust.</li><li>
Technical SEO and architecture. Large scale technical infrastructure, Core Web Vitals, structured data, crawl efficiency, and the product architecture decisions that drive organic performance.</li><li>
Content strategy and production. Directing the editorial work that produces the pages, guides, studies, and resources that rank, get cited, and convert.</li><li>
Team leadership and hiring. Assessing the current core, making the talent calls that need to be made, and building the team you need for the new direction.</li><li>
Cross functional partnership. Working closely with Engineering, Analytics, and Data to build the technical and measurement foundation organic needs to operate at scale.</li></ul>
Problems to Solve
Recovering and growing traffic at scale One of our brands has seen significant traffic decline. Rankings that used to sit in positions 3 to 5 have slipped to page 2. Diagnosing the root cause is the first order of business. Whether the driver is algorithm shifts, content quality, technical debt, AI Search cannibalization, or some combination, the recovery plan needs to address it. The answer will not be simple, and it will not be found by outsourcing it to a framework.
Winning in AI powered discovery The rules of organic visibility are being rewritten in real time. Google AI Overviews, ChatGPT, and Perplexity are becoming primary discovery surfaces for the queries that matter most to us. Most brands are still figuring out how to show up in these environments. How do you build a structured, repeatable approach to AI Search visibility and turn it into a competitive advantage before others catch up?
Going from defense to offense For the last several years it has felt like we have been playing defense as the landscape shifted around us. The old playbook worked until it didn't. This role flips the posture. Go back on offense. Dominate the next era of organic discovery across more verticals than before. How do you go from reacting to leading in the first 90 days?
Defining how to measure AI Search Traditional SEO has clear signals. Rankings, impressions, clicks. AI Search visibility is murkier, but the signals are there if you know where to look. Log data, crawler activity, and emerging tooling can surface a lot, but not all are wired up yet. How do you build a measurement approach that turns raw signals into a reliable view of AI Search visibility, one you can actually use to make decisions and demonstrate progress? 
Requirements 
Who You Are
Sees around corners. You have been building for where search is going, not where it has been. You followed the AI search shift before it was conventional wisdom and you can articulate, specifically, what it means for a business like ours. This is unlikely to be a good fit if you are still primarily optimizing for the 2020 version of SEO or treat AI search as a future concern.
Understands external visibility as foundational. You recognize that in the AI era, authority comes from being repeatedly cited and mentioned across external networks. Journalists, creators, review platforms, industry directories, communities. You have built external earned media strategies and understand how to navigate those ecosystems. You see this as core SEO strategy, not bolt on marketing work. This is unlikely to be a good fit if you view SEO as primarily on site optimization or if you see earned media and PR as separate from organic search strategy.
Understands organic as a revenue driver, not just a traffic channel. You operate with a business mindset. You tie organic initiatives to CAC, acquisition, and revenue impact, not just impressions and clicks. You can speak the language of payback periods, cohort economics, and margin contribution. Organic is foundational to how we grow, and you see your job as compounding revenue value across the entire brand portfolio, not maximizing traffic at any cost. This is unlikely to be a good fit if you are satisfied with organic metrics that don't connect to downstream business outcomes.
Diagnoses fast, acts faster. You use data to find the signal in the noise, make a call, and move. You are not the person who needs six more weeks of research before forming a hypothesis. You know the difference between analysis that unblocks action and analysis that substitutes for it. This is unlikely to be a good fit if you are known for thorough research that rarely translates into a clear recommendation.
Builds and elevates teams. You have led at scale before and made the hard talent calls when they were needed. You are also comfortable starting small and building the team you need around you. You develop leaders, not just contributors, and you create an environment where people know what great looks like. This is unlikely to be a good fit if you prefer to inherit a big team rather than build one.
A company wide evangelist. You don't just own SEO. You sell the vision for it. You can explain the AI Search opportunity to a CFO as clearly as you can explain it to a technical SEO. You influence roadmaps, secure investment, and get cross functional partners excited about organic. This is unlikely to be a good fit if you prefer operating within your lane and leaving the advocacy to others.
Technically fluent and willing to ship. You can get into the weeds on structured data, crawl budgets, and Core Web Vitals, and you know when to. You also know when to step back and set direction. With a small team, the line between executing and leading blurs. You are comfortable on both sides of it. This is unlikely to be a good fit if you need a big team underneath you to do the work.
AI native. You use AI tools daily. For research, content, analysis, and workflow acceleration. More importantly, you understand how LLMs and generative AI work well enough to build an AI Search strategy grounded in how these systems actually discover and evaluate content. This is unlikely to be a good fit if your AI knowledge is surface level or limited to using ChatGPT for drafts.
This Role Is NOT<ul><li>
A pure IC role. You will execute alongside the team and roll up your sleeves on the work that needs doing. With a small core and several functions unowned, you cannot delegate everything from day one. But you also own the direction, the hiring, and the standards. If you only want to ship the work yourself and report up, this is too broad. If you only want to set strategy and never touch the work, this is too in the weeds.</li><li>
A single brand role. You own SEO and AI Search across our entire brand portfolio. Every brand matters. If you would prefer to go deep on one and treat the others as secondary, this isn't the right fit.</li><li>
A research and recommend role. We don't need more analysis of what competitors are doing. We need a clear point of view on where we are going and the execution to get there. If you are most comfortable staying in research mode, this role will frustrate you.</li><li>
A role waiting on engineering. Our no code web publishing platform migration puts production pages directly in marketing's hands. Thousands of organic city and near-me pages, partner pages, all of it. If slow execution has been your constraint before, it won't be here. What you will need is the judgment to use that speed well.</li></ul> 

Benefits 
<ul><li>
Base salary. $170,000 to $190,000 USD.</li><li>
Equity. Organic discovery is foundational to how we grow. The value you create compounds across our entire brand portfolio and every channel downstream. We want you invested in that long term outcome.</li><li>
Healthcare. Medical, dental, and vision.</li><li>
Fully remote. Work from anywhere in the US.</li><li>
Flexible PTO. Focused on outcomes.</li></ul>
LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment.</div>

Director of SEO and Agentic Search

Explore 69+ Ai transformation specialist in San Francisco this June. Find roles across top companies and apply now to boost your career.