Learneo

• Provide Level 1 and Level 2 technical support to employees across a global and distributed organization. • Troubleshoot hardware, operating system, application, account access, connectivity, and workplace technology issues. • Manage incoming support requests through helpdesk and ITSM platforms, ensuring appropriate prioritization, documentation, communication, and resolution. • Diagnose and resolve common issues across macOS, Windows, browsers, productivity applications, collaboration tools, and SaaS platforms. • Escalate complex technical issues to senior IT engineers, security teams, application owners, or external vendors when required. • Maintain strong service levels and provide a professional, customer-focused support experience. • Identify recurring incidents and contribute to root-cause analysis and long-term resolution. • Support the complete lifecycle of corporate endpoint devices, including provisioning, configuration, deployment, maintenance, troubleshooting, replacement, and decommissioning. • Manage and support macOS and Windows endpoints using modern endpoint management and MDM platforms. • Work with tools such as Kandji, JumpCloud, Microsoft Intune, or similar endpoint management solutions. • Assist with device enrollment, configuration profiles, security policies, application deployment, OS updates, patching, and compliance monitoring. • Troubleshoot endpoint performance, encryption, software installation, policy enforcement, and device compliance issues. • Support remote employees with device setup, replacement, recovery, and technical troubleshooting. • Maintain accurate endpoint inventory and asset lifecycle records. • Assist with secure device offboarding, data protection, and equipment recovery processes. • Support end-to-end IT onboarding and offboarding processes for employees and contractors. • Provision and deprovision user accounts, devices, applications, groups, and access based on approved requests and role requirements. • Coordinate with people/HR, hiring managers, security, and IT teams to ensure a smooth employee technology experience. • Support employee transfers, role changes, promotions, department changes, and access modifications. • Ensure access is removed promptly and securely during employee offboarding. • Follow established access-control, approval, and audit requirements. • Identify opportunities to improve and automate repetitive employee lifecycle tasks. • Support day-to-day identity and access management activities across enterprise applications. • Assist with user provisioning, deprovisioning, group membership, application assignments, and access troubleshooting. • Support identity platforms such as JumpCloud, Okta, Microsoft Entra ID, or similar solutions. • Troubleshoot common Single Sign-On (SSO), Multi-Factor Authentication (MFA), password, authentication, and account access issues. • Assist with access reviews and basic identity governance activities. • Follow least-privilege and role-based access principles when managing user access. • Escalate complex identity, integration, or security-related issues to senior engineers or security teams. • Support commonly used enterprise collaboration and productivity platforms, including Google Workspace, Microsoft 365, Slack, Zoom, Atlassian products, and similar SaaS applications. • Assist with account administration, permissions, groups, licensing, and user troubleshooting. • Troubleshoot common issues involving email, calendars, file sharing, collaboration tools, conferencing platforms, and browser-based applications. • Support basic integrations and workflows between workplace applications where appropriate. • Work with application owners and vendors to resolve service issues. • Maintain awareness of commonly used enterprise SaaS tools and their role within the employee technology environment. • Work within established IT Service Management processes for incidents, service requests, access requests, and escalations. • Use ITSM and helpdesk platforms such as Jira Service Management, ServiceNow, Zendesk, Freshservice, or similar tools. • Ensure tickets contain accurate troubleshooting notes, resolution details, and user communication. • Follow agreed prioritization, escalation, and service-level processes. • Contribute to improving ticket workflows, request forms, knowledge articles, and support processes. • Identify repetitive support issues and recommend opportunities for standardization or automation. • Support basic reporting on ticket trends, recurring incidents, and service performance. • Assist with maintaining endpoint security and compliance controls across corporate devices. • Support device encryption, OS patching, security agents, endpoint protection, and compliance policies. • Assist with tools such as SentinelOne, CrowdStrike, Microsoft Defender, or similar endpoint security platforms. • Identify and escalate suspicious endpoint behavior, security alerts, or policy violations. • Support security and compliance initiatives related to endpoint management and employee access. • Follow established security standards and contribute to audit evidence collection when required. • Collaborate with Security teams on remediation activities and endpoint-related security incidents. • Create and maintain clear technical documentation, troubleshooting guides, standard operating procedures, and knowledge-base articles. • Document common incidents and repeatable resolution procedures. • Develop employee-facing guides for common technology processes and self-service support. • Ensure operational documentation remains current and usable by the broader IT team. • Contribute to improving internal support processes and reducing recurring support demand. • Communicate clearly and professionally with employees across different technical skill levels. • Translate technical issues into simple, understandable language. • Work collaboratively with IT Operations, Security, People/HR, Finance, Engineering, and other business teams. • Provide regular updates during incidents and complex support cases. • Collaborate effectively across multiple time zones in a distributed environment. • Demonstrate empathy, patience, accountability, and a strong customer-service mindset.

• Collaborate with experienced data scientists and software engineers to gain insights into building scalable and efficient data pipelines, model training, and deployment systems. • Troubleshoot issues in the entire machine learning infrastructure, from Linux, Docker, and Kubernetes up to the highest levels of our ML stack. Resolve issues, improve system performance, and make our stack the best in the industry. • Assist in the design and development of on-premises MLOps solutions to support the delivery of machine learning models, and a seamless handover between research and productionization of ML artifacts. • Drive and uphold high engineering standards, bringing consistency to codebases encountered and ensuring software is adequately reviewed, tested, and integrated. • Optimize existing models for better performance and throughput. • Incorporate ML model training, validation, and evaluation settings in addition to traditional coding tests like unit and integration testing. • Build and maintain tools for deployment, monitoring, and operations. - Continuously refine and enhance CI/CD workflows to support the evolving needs of the machine learning infrastructure.

• Assist in managing multiregion and multicloud infrastructure, ensuring resiliency, scalability, and performance. • Support infrastructure provisioning and deployments primarily on GCP, while gaining exposure to other cloud providers. • Design, deploy, and maintain agentic AI workflows and automation systems, integrating LLMs, orchestration frameworks, APIs, and observability tooling to improve operational efficiency, incident response, and developer productivity. • Collaborate with development teams to design and maintain CI/CD pipelines in GitLab CI. • Work on Kubernetes cluster management (GKE and potentially other managed K8s offerings). • Contribute to GitOps-based deployments using ArgoCD. • Help automate infrastructure with Terraform and other infrastructure-as-code tools. • Monitor system health and participate in the on-call rotation, contributing to incident response, troubleshooting, and root cause analysis to improve reliability. • Document processes, create runbooks, and help improve operational practices.

About Learneo Learneo is a platform of builder-driven businesses, including Course Hero, CliffsNotes, LitCharts, Quillbot, Symbolab, and Scribbr, all united around a shared mission of supercharging productivity and learning for everyone. We attract and scale high growth businesses built and run by visionary entrepreneurs. Each team innovates independently but has a unique opportunity to collaborate, experiment, and grow together, and they are supported by centralized corporate operations functions, including HR, Finance and Legal. Role Overview The IT Systems Engineer II will be a key contributor to the IT Operations team, responsible for designing, automating, and managing scalable IT infrastructure and cloud environments. This role requires deep technical expertise in automation, IT Infrastructure and DevOps practices, cloud engineering (AWS/GCP), coupled with excellent communication and collaboration skills. The ideal candidate will have at least 8 years of experience in IT infrastructure, automation, and systems engineering — capable of bridging the gap between IT operations, cloud technologies, and engineering teams to drive operational excellence. Responsibilities - Infrastructure & Systems Engineering - Support and maintain scalable and secure IT infrastructure across cloud (GCP/AWS) and on-prem environments. - Ensure high availability and performance of internal IT systems, applications, and collaboration tools. - Automate provisioning, monitoring, and maintenance processes using modern scripting and orchestration tools. - Manage identity, access, and device management solutions ensuring compliance and security. - Automation & DevOps - Automate repetitive IT and operational tasks using Python, PowerShell, or Bash. - Develop and maintain Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or CloudFormation. - Build and manage CI/CD pipelines for infrastructure and application deployments. - Collaborate with development and security teams to optimize DevOps workflows and improve deployment reliability. - Cloud Engineering (AWS / GCP) - Manage and optimize workloads in AWS and GCP environments, ensuring cost efficiency (FinOps alignment). - Implement cloud security best practices in alignment with organizational compliance standards. - Troubleshoot complex issues in multi-cloud or hybrid environments. - Drive automation for provisioning, scaling, and monitoring of cloud resources. - IT Support & Collaboration Tools - Provide Tier 3-level support for critical IT systems and escalations. - Manage enterprise collaboration platforms (e.g., Google Workspace, Slack, Zoom, Atlassian Suite, CI/CD tools etc.). - Ensure seamless integration between IT tools, systems, and internal applications. • Work closely with global IT teams to maintain consistent service delivery and user satisfaction. - Security & Compliance - Implement and maintain endpoint and cloud security controls. - Support vulnerability management, patching, and compliance initiatives (SOC, GDPR, ISO, etc.). - Partner with SecOps and FinOps teams to ensure secure, efficient, and compliant infrastructure operations. - Communication & Collaboration - Act as a bridge between IT operations, engineering, and business teams to translate technical requirements into practical solutions. - Provide clear documentation, communication, and training for IT processes and automation systems. - Support cross-functional initiatives led by ITOps and collaborate across multiple time zones. Qualifications - Bachelor’s degree in Computer Science, Information Technology, or related field. - 8+ years of experience in IT Systems Engineering, Automation, or DevOps roles. - Hands-on expertise in cloud platforms (AWS and/or GCP) and associated automation tools. - Strong scripting and development skills in Python, with experience in automating IT processes. - Deep understanding of IT infrastructure (Linux , Windows Ad, networking, identity management, device management, monitoring, etc.). - Proven ability to deliver automation and infrastructure projects in a fast-paced, global environment. - Excellent communication and collaboration skills with a customer-first mindset. - Experience working in distributed, remote-first organizations is a plus. Bonus Points - Certifications in AWS (e.g., AWS SysOps/DevOps Engineer), GCP (e.g., Professional Cloud Engineer), or related areas. - Experience with IaC (Terraform, Ansible), CI/CD (Jenkins, GitLab, GitHub Actions), and monitoring tools (Prometheus, Grafana). - Exposure to FinOps or cloud cost optimization. - Knowledge of ITIL processes or similar frameworks. Benefits & Perks - Competitive salary and annual bonus - Medical coverage - Life and accidental insurance - Vacation & leaves of absence (menstrual, flexible, special, and more!) - Developmental opportunities through education & developmental reimbursements & professional workshops - Maternity & parental leave - Hybrid & remote model with flexible working hours - On-site & remote company events throughout the year - Tech & WFH stipends & new hire allowances - Employee referral program - Premium access to QuillBot *Benefits and benefit amounts differ by region. A comprehensive list applicable to your region will be provided in your interview process. Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. We strongly encourage you to apply if you're interested: we'd love to learn how you can amplify our team with your unique experience! This role is eligible for hire in India. We are a virtual-first company with employees across the United States, Canada, India, Germany, and the Netherlands. Our compensation approach is market-based and varies by location while ensuring fairness, consistency, and transparency. The base pay for this role is determined by several factors, including: - Relevant professional experience - Skills and expertise - Scope and responsibilities of the role - Internal equity considerations In addition to base salary, total compensation may include bonus, equity, and benefits. Eligibility depends on role, level, and location. We are committed to equal pay for equal work, and all compensation decisions are made using consistent, gender-neutral criteria in alignment with pay transparency requirements #Learneo #LI-Remote #LI-DH1 Equal ​Employment Opportunity Statement ​(EEO) We are an equal opportunity employer and value diversity and ​inclusion within our company. ​We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender ​identity, gender expression, sexual orientation, age, marital status, ​veteran status, or ​ability status. We will ensure that individuals who are differently abled are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment as provided to other applicants or employees. Please contact us to request accommodation.

About Learneo Learneo is a platform of builder-driven businesses, including Course Hero, CliffsNotes, LitCharts, Quillbot, Symbolab, and Scribbr, all united around a shared mission of supercharging productivity and learning for everyone. We attract and scale high growth businesses built and run by visionary entrepreneurs. Each team innovates independently but has a unique opportunity to collaborate, experiment, and grow together, and they are supported by centralized corporate operations functions, including HR, Finance and Legal. Role Overview We are looking for an experienced Engineering Manager—Data Platform to lead and scale Quillbot’s data infrastructure powering our product, AI, and growth initiatives. With over 60M+ users, our data platform is critical to enabling product intelligence, experimentation, usage metering, and lifecycle marketing. This role is both technical and strategic—you will drive architectural decisions, build high-performing systems, and lead a team of engineers to deliver a reliable, scalable, and cost-efficient data platform. You will also treat the platform as an internal product, ensuring usability and value for cross-functional stakeholders. Responsibilities Technical Leadership & Architecture - Own the architecture and evolution of the data platform to support large-scale, real-time, and batch data processing. - Design systems for analytics, experimentation, event tracking, and usage metering. - Ensure high standards of scalability, reliability, performance, and data quality. - Drive best practices in data engineering, system design, and observability. Team Leadership & Development - Build, mentor, and lead a high-performing team of data and platform engineers. - Foster a culture of ownership, innovation, and continuous improvement. - Provide technical guidance, career development, and performance management. Cross-functional Collaboration - Partner closely with Product, AI, Growth, and Marketing teams to understand data needs and translate them into scalable solutions. - Enable data-driven decision-making across the organization. Platform as a Product - Improve the developer experience and usability of the data platform for internal teams. - Define and track platform KPIs such as adoption, reliability, and performance. Performance & Cost Optimization - Optimize infrastructure for cost efficiency and performance at scale. - Continuously evaluate tools, technologies, and processes to improve ROI. Gen AI and Automation - Supporting AI research with data, both for training and capabilities. Qualifications - 7+ years of experience in software/data engineering, with 2+ years in engineering management. - Strong technical depth + architecture judgment - Strong experience building and scaling data platforms or distributed systems. - Hands-on experience with backend technologies like Node.js and JavaScript ecosystems. - Real experience with systems like Spark, streaming, pipelines - Solid understanding of data pipelines, ETL/ELT processes, and analytics systems. - Experience with cloud platforms (AWS/GCP/Azure) and modern data stack tools. - Proven ability to make architectural trade-offs and lead large technical initiatives. - Strong communication skills with experience working cross-functionally across business teams Bonus Points - Experience supporting AI/ML, experimentation platforms, or growth analytics. - Familiarity with frontend technologies like React.js for building internal tools or dashboards. - Experience handling data systems at consumer scale (millions of users). Benefits & Perks - Competitive salary and annual bonus - Medical coverage - Life and accidental insurance - Vacation & leaves of absence (menstrual, flexible, special, and more!) - Developmental opportunities through education & developmental reimbursements & professional workshops - Maternity & parental leave - Hybrid & remote model with flexible working hours - On-site & remote company events throughout the year - Tech & WFH stipends & new hire allowances - Employee referral program - Premium access to Quillbot *Benefits and benefit amounts differ by region. A comprehensive list applicable to your region will be provided in your interview process. Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. We strongly encourage you to apply if you're interested: we'd love to learn how you can amplify our team with your unique experience! This role is eligible for hire in India. We are a virtual-first company with employees across the United States, Canada, India, Germany, and the Netherlands. Our compensation approach is market-based and varies by location while ensuring fairness, consistency, and transparency. The base pay for this role is determined by several factors, including: - Relevant professional experience - Skills and expertise - Scope and responsibilities of the role - Internal equity considerations In addition to base salary, total compensation may include bonus, equity, and benefits. Eligibility depends on role, level, and location. We are committed to equal pay for equal work, and all compensation decisions are made using consistent, gender-neutral criteria in alignment with pay transparency requirements #Learneo #LI-Remote #LI-SG1 Equal ​Employment Opportunity Statement ​(EEO) We are an equal opportunity employer and value diversity and ​inclusion within our company. ​We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender ​identity, gender expression, sexual orientation, age, marital status, ​veteran status, or ​ability status. We will ensure that individuals who are differently abled are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment as provided to other applicants or employees. Please contact us to request accommodation.

• Own the architecture and evolution of the data platform to support large-scale, real-time, and batch data processing. • Design systems for analytics, experimentation, event tracking, and usage metering. • Ensure high standards of scalability, reliability, performance, and data quality. • Drive best practices in data engineering, system design, and observability. • Build, mentor, and lead a high-performing team of data and platform engineers. • Foster a culture of ownership, innovation, and continuous improvement. • Provide technical guidance, career development, and performance management. • Partner closely with Product, AI, Growth, and Marketing teams to understand data needs and translate them into scalable solutions. • Enable data-driven decision-making across the organization. • Improve the developer experience and usability of the data platform for internal teams. • Define and track platform KPIs such as adoption, reliability, and performance. • Optimize infrastructure for cost efficiency and performance at scale. • Continuously evaluate tools, technologies, and processes to improve ROI. • Supporting AI research with data, both for training and capabilities.

• Ship and iterate on production agentic workflows connecting QuillBot's core tools and surfaces, proving the orchestration architecture under real user load • Make high-conviction technical bets on the model stack, compute strategy, and agent execution model, with written rationale that the org can build against • Own the technical point of view on which ICP verticals and workflows justify agentic investment, and drive that conviction into AI, product, and engineering planning • Inherit and reshape the AI org to match the velocity and scope of what we're building, including hiring where gaps exist • Design and lead systems for intent recognition, task decomposition, and multi-step execution across QuillBot’s product surfaces • Define how agentic systems plan, coordinate, and execute workflows across a multi-surface application suite • Establish standards for agent-native infrastructure, enabling product surfaces to be machine-readable and executable • Lead research and development across text and multimodal domains, with an initial focus on text and image capabilities • Build on QuillBot’s existing strengths in NLP while extending into new modalities to create differentiated product experiences • Drive the shipping cadence for model updates, MLOps, and data pipelines across high-scale production • Own system reliability and performance of the AI stack serving tens of millions of users worldwide • Balance system performance, latency, and cost through informed decisions on compute economics and architecture • Build and lead an integrated AI organization spanning R&D and Applied AI teams • Partner with the VP of AI and senior leadership to define technical direction, evaluate trade-offs, and guide platform-level decisions • Drive alignment across Engineering, Product, and Design to ensure adoption of agent-native standards • Raise the quality bar across the organization, acting as a force multiplier for team performance and execution • Architect the team's operating model around AI-native workflows, using automated pipelines, code generation, and internal tooling to achieve output disproportionate to headcount.

About Learneo Learneo is a platform of builder-driven businesses, including Course Hero, CliffsNotes, LitCharts, Quillbot, Symbolab, and Scribbr, all united around a shared mission of supercharging productivity and learning for everyone. We attract and scale high growth businesses built and run by visionary entrepreneurs. Each team innovates independently but has a unique opportunity to collaborate, experiment, and grow together, and they are supported by centralized corporate operations functions, including HR, Finance and Legal. About QuillBot QuillBot was founded in 2017 with a mission to help students and professionals strengthen their writing. Today, we help over 56 million people around the world create great things. Whether you're writing, designing, coding, or collaborating, QuillBot is a place where anyone can create at the speed of thought. Our AI-powered tools help you think clearly, communicate effectively, and create beautifully—across every platform, in any format, at any skill level. If you're passionate about using technology to make the path from inspiration to execution more accessible, intentional, and relevant, come join us. Role Overview As Senior Director of AI, you will serve as the primary architect of QuillBot’s intelligence layer, leading the evolution from a suite of AI tools to a unified, agent-driven AI-native creative platform. We are at an inflection point, transitioning rapidly from a collection of discrete capabilities into a cohesive system where users can move seamlessly from high-level intent to fully realized outputs across writing, research, and design. You will define and build the orchestration systems that unify QuillBot’s products into cohesive, multi-step workflows—enabling intelligent systems to plan, coordinate, and execute complex creative tasks. This role will define how intelligence is integrated across every QuillBot product experience. Reporting to the VP of AI, you will lead both AI R&D and Applied AI teams, shaping the model stack, agentic infrastructure, and production systems that power tens of millions of users. This role operates at the intersection of research, AI alignment, systems architecture, and product strategy, requiring technical depth, execution velocity, and the ability to drive alignment across Engineering, Product, and executive leadership. This role sits within QuillBot’s senior leadership team and carries significant influence over QuillBot’s technical direction, strategy, and tactical execution. In your first six months, you will: - Ship and iterate on production agentic workflows connecting QuillBot's core tools and surfaces, proving the orchestration architecture under real user load - Make high-conviction technical bets on the model stack, compute strategy, and agent execution model, with written rationale that the org can build against - Own the technical point of view on which ICP verticals and workflows justify agentic investment, and drive that conviction into AI, product, and engineering planning - Inherit and reshape the AI org to match the velocity and scope of what we're building, including hiring where gaps exist Responsibilities AI Architecture & Orchestration - Design and lead systems for intent recognition, task decomposition, and multi-step execution across QuillBot’s product surfaces - Define how agentic systems plan, coordinate, and execute workflows across a multi-surface application suite - Establish standards for agent-native infrastructure, enabling product surfaces to be machine-readable and executable AI R&D & Multimodal Systems - Lead research and development across text and multimodal domains, with an initial focus on text and image capabilities - Build on QuillBot’s existing strengths in NLP while extending into new modalities to create differentiated product experiences - Make model strategy decisions across proprietary and third-party systems, balancing capability, cost, and shipping velocity Applied AI & Platform Operations - Drive the shipping cadence for model updates, MLOps, and data pipelines across high-scale production - Own system reliability and performance of the AI stack serving tens of millions of users worldwide - Balance system performance, latency, and cost through informed decisions on compute economics and architecture Leadership & Cross-Functional Alignment - Build and lead an integrated AI organization spanning R&D and Applied AI teams - Partner with the VP of AI and senior leadership to define technical direction, evaluate trade-offs, and guide platform-level decisions - Drive alignment across Engineering, Product, and Design to ensure adoption of agent-native standards - Raise the quality bar across the organization, acting as a force multiplier for team performance and execution - Architect the team's operating model around AI-native workflows, using automated pipelines, code generation, and internal tooling to achieve output disproportionate to headcount Qualifications AI & Systems Expertise - Experience building and shipping agentic systems or orchestration platforms in production at meaningful scale, not prototypes or research demos - Distributed Agency: deep expertise coordinating diverse agent populations (plan-based, scripted, and hybrid) within stateful environments, including task decomposition, intent routing, and multi-step execution - State & Persistence: proven ability to design and operate systems that maintain sustained, context-aware agency across multi-session and multi-domain workflows - Compute Economics: ability to optimize sophisticated planning logic against the constraints of latency, unit economics, and reliability at consumer scale - Background in NLP and/or multimodal AI (text and image preferred), with the ability to guide applied research, evaluate model architectures, and make binding technical decisions on model strategy across proprietary and third-party ecosystems Leadership & Execution - Proven leadership of both AI R&D and Applied AI/MLOps teams within consumer product environments serving millions of users - Track record of scaling AI systems and infrastructure from early-stage builds (0→1) into high-scale production (1→10), not just inheriting mature platforms - Forms strong technical opinions quickly, updates them based on evidence rather than consensus, and translates AI capabilities into product direction and business impact - Has built or reshaped AI organizations to match the demands of a rapidly evolving technical mandate, including hiring, restructuring, and raising the performance bar Cross-Functional Influence - Drives alignment across Engineering, Product, and executive stakeholders through technical credibility and strategic clarity, not positional authority - Operates effectively across global distributed teams and time zones Bonus Points - Experience with agent-to-tool communication frameworks or emerging standards (e.g., MCP, agent SDKs) - Contributions to peer-reviewed research or involvement in the broader AI research community - Experience with browser-based or edge compute environments (e.g., WebGPU) - Background in creative, productivity, or prosumer software platforms - Experience operating in founder-led or highly entrepreneurial environments Benefits & Perks - Competitive salary and annual bonus - Medical coverage, including full dental and vision - Retirement savings plans - Life and disability benefits - Vacation & leaves of absence - Annual family planning stipend - Social responsibility program (volunteer time off and donation matching) - Developmental opportunities through education & developmental reimbursements & professional workshops - Maternity & parental leave - Hybrid & remote model with flexible working hours - On-site & remote company events throughout the year - Annual wellness stipend - Monthly tech stipend - Employee referral program - Premium access to QuillBot *Benefits and benefit amounts differ by region. A comprehensive list applicable to your region will be provided in your interview process. For positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records. Other locations: IL, MA, NJ. Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. We strongly encourage you to apply if you're interested: we'd love to learn how you can amplify our team with your unique experience! This role is eligible for hire in the US. We are a virtual-first company and have employees dispersed throughout the United States, Canada, India, Germany, and the Netherlands. We have a market-based pay structure that varies by location. The base pay for this position is dependent on multiple factors, including candidate experience and expertise, and may vary from the amounts listed. You may also be eligible to participate in our bonus program and may be offered benefits, and other types of compensation. #Learneo #LI-Remote #LI-JK1 In accordance with applicable pay transparency laws, we provide a good-faith base salary range for each role. Total compensation may also include equity, which is determined by role, level, and location. The base salary range for this role if filled within the following states is: California and New York Pay Range $249,000—$421,000 USD Massachusetts and Washington Pay Range $249,000—$378,000 USD Minnesota and New Jersey Pay Range $249,000—$337,000 USD Colorado and Illinois Pay Range $218,000—$337,000 USD Vermont Pay Range $218,000—$294,000 USD Equal ​Employment Opportunity Statement ​(EEO) We are an equal opportunity employer and value diversity and ​inclusion within our company. ​We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender ​identity, gender expression, sexual orientation, age, marital status, ​veteran status, or ​ability status. We will ensure that individuals who are differently abled are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment as provided to other applicants or employees. Please contact us to request accommodation.

• Define and own the overarching organic growth strategy spanning SEO, ASO, GEO, and Extension Store optimization. Set quarterly and annual OKRs tied to impressions, clicks, MAU, installs, and sales. • Manage, mentor, and develop the SEO & Organic Growth team. Foster a culture of experimentation, accountability, and continuous learning. Identify and hire for key capability gaps as needed. • Build and maintain a prioritized organic growth roadmap. Balance quick wins with longer-term strategic bets. Present plans and progress to senior leadership, including the CEO. • Serve as the organic growth voice in cross-functional planning with AI, Product, Engineering, Content, Brand, Marketing Operations, and International Expansion teams. Ensure organic considerations are embedded in product launches, site architecture decisions, and content strategy. • Act as a key influencer of the Product roadmap by surfacing organic growth opportunities, user intent data, and search landscape insights that shape feature prioritization, new product bets, and go-to-market timing. • Own end-to-end SEO performance across QuillBot’s web properties. Drive strategy across on-page, off-page, and technical SEO to secure and defend top positions for high-value keywords. • Lead technical audits and partner with Engineering to resolve crawlability, indexation, Core Web Vitals, site speed, structured data, and mobile-responsiveness issues at scale. • Oversee keyword research, content gap analysis, and on-page optimization. Collaborate with the Content team to ensure every page is strategically targeted and continuously improved. • Direct link-building and digital PR strategies to grow domain authority. Evaluate backlink quality and build partnerships with authoritative sites. • Monitor Google algorithm updates, diagnose ranking fluctuations, and quickly adapt strategies to protect and grow organic traffic. • Develop and execute a strategy to maximize QuillBot’s visibility in AI-generated answers and citations across generative search experiences (e.g., Google AI Overviews, ChatGPT, etc). • Work with Content and Product to structure information, schema markup, and authoritative content so that generative engines accurately surface and recommend QuillBot. • Define GEO-specific metrics, build tracking frameworks, and run experiments to understand how generative surfaces drive traffic and conversions. • Monitor how competitors are cited in generative answers and identify opportunities to increase QuillBot’s share of voice. • Own QuillBot’s organic discoverability and conversion rates in the Apple App Store and Google Play Store. • Optimize app titles, subtitles, descriptions, keywords, screenshots, and preview videos to improve search rankings and download conversion rates. • Develop strategies to increase the volume and quality of positive ratings and reviews, and work with Product to address recurring user feedback themes. • Design and run store listing experiments to continuously improve conversion. Leverage tools like Google Play Experiments and third-party ASO platforms. • Partner with the International Expansion team to localize and optimize listings for priority markets. • Own QuillBot’s presence and discoverability in the Chrome Web Store, Safari Extensions Gallery, Microsoft Edge Add-ons, and Firefox Add-ons. • Optimize extension titles, descriptions, screenshots, and feature graphics. Improve install conversion rates through iterative testing. • Drive rating volume and quality for extensions. Coordinate with Product and Support to address negative feedback and reduce churn. • Align extension store strategy with SEO and ASO efforts to create a unified organic discovery experience across web, app, and extension surfaces. • Build and maintain dashboards tracking organic performance across all channels (SEO, ASO, GEO, Extension Stores). Define KPIs and ensure the team is data-driven in decision-making. • Deliver regular performance updates and strategic insights to senior leadership. Translate complex organic data into clear narratives with actionable recommendations. • Evaluate and manage the organic growth tool stack (e.g., Google Analytics, Google Search Console, SEMrush, Ahrefs, Sensor Tower, Screaming Frog, etc).

• Support and maintain scalable and secure IT infrastructure across cloud (GCP/AWS) and on-prem environments. • Ensure high availability and performance of internal IT systems, applications, and collaboration tools. • Automate provisioning, monitoring, and maintenance processes using modern scripting and orchestration tools. • Manage identity, access, and device management solutions ensuring compliance and security. • Automate repetitive IT and operational tasks using Python, PowerShell, or Bash. • Develop and maintain Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or CloudFormation. • Build and manage CI/CD pipelines for infrastructure and application deployments. • Collaborate with development and security teams to optimize DevOps workflows and improve deployment reliability. • Manage and optimize workloads in AWS and GCP environments, ensuring cost efficiency (FinOps alignment). • Implement cloud security best practices in alignment with organizational compliance standards. • Troubleshoot complex issues in multi-cloud or hybrid environments. • Provide Tier 3-level support for critical IT systems and escalations. • Manage enterprise collaboration platforms (e.g., Google Workspace, Slack, Zoom, Atlassian Suite, CI/CD tools etc.). • Ensure seamless integration between IT tools, systems, and internal applications. • Work closely with global IT teams to maintain consistent service delivery and user satisfaction. • Implement and maintain endpoint and cloud security controls. • Support vulnerability management, patching, and compliance initiatives (SOC, GDPR, ISO, etc.). • Partner with SecOps and FinOps teams to ensure secure, efficient, and compliant infrastructure operations. • Act as a bridge between IT operations, engineering, and business teams to translate technical requirements into practical solutions. • Provide clear documentation, communication, and training for IT processes and automation systems. • Support cross-functional initiatives led by ITOps and collaborate across multiple time zones.