KnowledgeCity

Role Description We are seeking a detail-oriented and English-proficient Video Editor to join our Post-Production team. This is a remote role, best suited for an independent self-starter who has a strong eye for pacing and maintaining top-tier production quality. In this role, you will be responsible for taking video content through the entire editing pipeline—from shaping raw footage to delivering polished, high-quality final course videos that meet KnowledgeCity’s predefined standards. - Edit video courses to completion using Adobe Premiere Pro, meticulously selecting the best takes while adhering to an English-written script. - Conduct post-production audio clean-up using Adobe Audition to enhance and refine audio quality. - Demonstrate strong problem-solving skills and troubleshoot projects to ensure smooth production processes. - Manage files and efficiently locate course materials to maintain organized project workflows. - Foster daily collaboration with team members to synchronize efforts and achieve project goals effectively. - Work with content and other departments to address technical and script-related issues promptly. - Perform additional duties as assigned to support the overall success of the team and organization. Qualifications - Fluency in English (United States) - Minimum of 3 years of experience in a video editing role - Proficiency in Adobe Premiere Pro and Adobe Audition - High-speed internet access - Strong understanding of video and audio editing fundamentals - Resourceful and self-sufficient, with the ability to work effectively with minimal supervision after training - Demonstrated problem-solving and troubleshooting skills - Detail-oriented, with the ability to review videos for errors and make necessary corrections - Ability to work under pressure and meet tight deadlines - Strong team player with excellent interpersonal skills - Commitment to maintaining high-quality standards following company guidelines - Remote working requires the following equipment: good quality headphones, a consistent home office location, a quiet workspace, a fast computer with a GPU, an external hard drive, a mouse, and a keyboard. Application Process Applications will be reviewed as they are submitted. Please allow up to two weeks to receive a response. Schedule Monday - Friday: 02:00 AM PST - 11:00 AM PST Work Location Fully Remote Pay Rate $500 - $700 /Monthly

Role Description We are seeking a detail-oriented and English-proficient Content & Video Quality Control Specialist to join our Post-Production team. It is best suited for someone who thrives in an independent work environment, has a strong eye for detail, and is passionate about maintaining top-tier video quality. You will be responsible for reviewing video content at various stages, including: - Raw footage - Storyboard drafts - Final course videos Ensuring all output meets KnowledgeCity’s predefined quality standards. - Review raw course videos for audio/visual issues, including talent mistakes, background noise, syncing problems, and on-screen content mismatches. - Create and annotate storyboards using Boords to guide video editors in the post-production process. - Watch the final course versions and verify that: - Voiceover and visuals are aligned - Icons, slides, and animations appear at the correct times - Brand and instructional standards are consistently applied - Identify and document inconsistencies, errors, or areas of improvement in a clear and actionable manner. - Collaborate closely with video editors, project managers, and instructional designers to ensure seamless post-production workflow. - Follow and help evolve QC checklists, documentation, and processes. - Maintain clear and professional communication with cross-functional teams across different time zones. - Conduct extensive research into emerging industry trends, business strategies, and technical standards to ensure our library remains current. - Utilize Generative AI tools to accelerate the research process and brainstorm innovative course structures. - Curate high-quality information from diverse sources, selecting the most practical and impactful concepts for professional learners. - Transform raw research into logical, well-structured course outlines that define the learning journey for each topic. - Bridge the gap between research and production by preparing comprehensive handoff briefs for Content Writers. - Collaborate with the production team to ensure the curated content aligns with KnowledgeCity’s instructional design standards and brand voice. - Verify the validity and accuracy of all curated facts, data points, and legal or safety regulations. - Identify gaps in our existing course library and propose new topics based on market demand and competitive analysis. Qualifications - Bachelor’s degree in Communications, Education, Library Science, Research, or a related field. - Fluent in English with excellent written and verbal communication skills. - Exceptional attention to detail and ability to spot visual, audio, and linguistic inconsistencies. - Strong understanding of video formats, pacing, transitions, and narration sync. - Ability to work independently and manage time efficiently while meeting tight deadlines. - Familiarity with Boords and other storyboard tools (training will be provided if needed). - Comfortable using platforms such as Google Drive, ClickUp, and feedback documents. - Prior experience in content writing, post-production QC, e-learning, or related fields is a plus. Benefits - Remote work - 800/month base pay - Paid time off and a supportive team environment - Tax Free salary

Role Description We are currently seeking an organized and results-driven Sales Development Representative to support our outbound sales efforts and contribute directly to pipeline growth. This role is essential to driving top-of-funnel activity by identifying, engaging, and booking meetings with high-quality leads for our Sales teams. You will be responsible for executing outreach campaigns, following up with prospects, and maintaining a consistent flow of qualified meetings to keep the pipeline active and growing. The ideal candidate has a proven track record of consistently booking qualified meetings through outbound prospecting, with deep expertise in LinkedIn outreach strategies and a strong understanding of SaaS B2B sales fundamentals. They thrive in fast-paced environments and know how to drive meaningful pipeline growth. Responsibilities: - Execute outbound outreach campaigns across LinkedIn, email, and cold calling. - Make 60–70 cold calls per day to decision-makers, using the phone as a primary channel to reach prospects who are inactive or unresponsive on LinkedIn and email. - Send 50–60 personalized outreach emails per day to target prospects, maintaining consistent multi-channel coverage across the assigned accounts. - Use LinkedIn Sales Navigator to identify and engage with ideal target prospects. - Craft personalized and compelling outreach messages tailored to buyer personas. - Manage and update lead information and outreach activities in the CRM. - Book qualified meetings and product demos for Sales teams. - Meet or exceed KPIs focused on daily cold call volume (60–70 dials per day), email volume (50–60 emails per day), and meetings booked. - Conduct account-level and industry research to support targeting efforts. - Maintain a clean and organized pipeline of prospects and active conversations. - Manage automated conversations initiated via Claude & LinkedIn. - Share progress updates regarding outreach messages. Qualifications - Bachelor’s degree in Business, Marketing, or a related field. - 2+ years of experience in outbound B2B business development, with a focus on LinkedIn and email outreach. - Hands-on experience using LinkedIn Sales Navigator for prospecting. - Proven comfort with high-volume cold calling (60–70 dials per day) and confident phone communication with senior decision-makers. - Proven ability to generate qualified leads and book meetings for Account Executives. - Excellent written communication skills with an emphasis on clarity and personalization. - Proficiency in CRM platforms like HubSpot, Salesforce, or similar tools. - Highly organized, self-driven, and results-oriented. - Comfortable working with KPIs such as daily cold call volume, daily email volume, outreach volume, and meetings booked. - Ability to work independently in a remote environment. - Familiarity with AI-powered sales tools or conversational AI assistants (e.g., Claude, ChatGPT) for outreach automation. Benefits - Remote work - Full-Time Role (6 hours per day) - $300/month base pay - Performance-based commission paid in addition to the $300/month base for each qualified meeting

Role Description The Product Engineer at KnowledgeCity is an autonomous, full-lifecycle product delivery owner. Operating within an AI-native model, the Product Engineer owns an assigned product domain end-to-end - from discovery and specification through engineering, quality assurance, deployment, documentation, and continuous improvement - with minimal operational dependency and a high degree of self-sufficiency. This is not a traditional engineering role. It demands enterprise-grade delivery discipline, production ownership, UX quality accountability, and customer outcome focus - alongside the technical ability to build and ship. The ideal candidate is an autonomous product delivery leader who takes full ownership of their domain, ships frequently, maintains production stability, and drives measurable improvement in the user experience they are responsible for. The Product Engineer reports directly to the Program Delivery Manager. Key Responsibilities - End-to-End Product & Domain Ownership: Own the complete lifecycle of an assigned product domain - discovery, specification, design, engineering, QA, documentation, deployment, and continuous improvement. Full accountability for domain health, user satisfaction, and product quality rests with the Product Engineer. - AI Agent Orchestration & Autonomous Execution: Direct and orchestrate a full suite of AI agents to execute across all delivery disciplines. Operate with high autonomy and independent execution, minimizing operational dependency while maintaining complete visibility and control over all agent output. - High-Velocity, Quality-First Delivery: Deliver production-ready improvements to your domain on a continuous, high-velocity cadence. Prioritize quality-first delivery over raw output speed - every release must be fully tested, documented, and operationally stable before reaching production. - Production Ownership & Post-Deploy Validation: Own all production outcomes for your assigned domain. Conduct post-deployment validation within one hour of every production release - walking through core user workflows, admin journeys, and edge cases on live production data. - Delivery & Release Governance: Ensure every release meets enterprise-grade release readiness standards before deployment. Maintain cross-environment testing discipline (development, staging, production). - UX Quality & Customer Workflow Ownership: Own the UX quality of your domain as rigorously as its technical correctness. Evaluate customer workflows critically - not just for functional correctness, but for usability, clarity, and operational readiness. - Documentation & Knowledge Management: Ensure complete, accurate documentation ships simultaneously with every feature - user guides, API documentation, and operational notes. - Stakeholder Communication, Escalation & Transparency: Communicate proactively with your Program Delivery Manager or Head of Product - without waiting to be asked. Surface delivery risks, dependency blockers, and scope changes early. - Product Thinking & Business Impact Ownership: Approach every delivery decision through a product ownership lens. Understand the business impact of what you build, prioritize improvements by customer outcome rather than technical convenience. - Continuous Improvement & Backlog Ownership: Maintain a prioritized improvement backlog for your domain. Continuously source gap intelligence from support tickets, QA audits, UX findings, usage analytics, and stakeholder feedback. Qualifications - 5+ years of hands-on experience in product management, engineering management, or a closely related discipline. - Proven track record of shipping real, production-grade products end-to-end. - Background spanning at least two of: software engineering, product management, UX design, or QA. - Hands-on experience with AI-assisted development tools. - Demonstrated experience owning production outcomes. - Experience evaluating and improving customer-facing workflows and UX quality. - Background in agile, high-velocity delivery environments. - Familiarity with database performance fundamentals is a strong plus. - EdTech or SaaS product experience preferred but not required. - Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline required. Master's degree preferred. Certifications - Certified Scrum Product Owner (CSPO) or an equivalent Product Management certification. Skills - Full product lifecycle ownership: strategy, discovery, design, engineering, QA, documentation, deployment, and post-release validation. - Production accountability mindset: you own what ships, you own what breaks, and you fix it. - Customer workflow thinking: ability to evaluate product experiences from a real user's perspective. - Enterprise delivery discipline: release governance, cross-environment testing, rollback readiness, deployment quality tracking. - AI agent direction: operates and orchestrates AI agents as high-output delivery partners. - Product intuition: strong instinct for what to build and why it matters to users. - Proactive communication: surfaces risks and blockers early, communicates delivery status clearly. - Systems thinking: understands how their domain connects to the broader product ecosystem. - Self-managing execution: operates with minimal supervision and holds a consistently high quality bar. - Advanced English proficiency, both written and spoken, is mandatory. Benefits - High autonomy and direct domain ownership. - Work at the frontier of AI-native product engineering. - Paid time off and a supportive, high-trust team environment. - Opportunities for professional growth through access to training materials and company courses. - Competitive compensation commensurate with experience.

Role Description KnowledgeCity is seeking an execution-driven Program Delivery Manager to lead end-to-end delivery across a complex, multi-domain product program within our AI-native operating model. This role owns delivery outcomes - not just governance. The Program Delivery Manager is accountable for: - Production deployments - Release health - Dependency resolution - Delivery predictability - Operational readiness - Quality governance across multiple interconnected product domains Operating at the intersection of delivery leadership, program governance, and product strategy, this role governs a team of Product Engineers while driving cross-domain coordination, unblocking execution bottlenecks, and ensuring the program ships consistently, correctly, and at pace. This is a hands-on delivery leadership role requiring operational accountability, execution rigor, and the ability to resolve cross-domain complexity at speed. The Program Delivery Manager reports directly to the Head of Product. Qualifications - 8+ years of progressive experience in program delivery, engineering delivery management, or enterprise program management - Demonstrated track record of driving delivery velocity, resolving cross-domain dependencies, and shipping complex multi-component programs on schedule and at production quality - Proven experience establishing delivery governance frameworks, release management processes, and operational cadences in a high-velocity product organization - Background in product management, product ownership, or product-led delivery - Hands-on experience with dependency management, cross-functional coordination, and unblocking execution bottlenecks - Demonstrated experience managing executive stakeholder relationships and communicating delivery status, risks, and escalations - Experience with value stream management, release governance, deployment health monitoring, and production readiness standards - Experience with AI-assisted delivery tools and operating in a product-led, AI-native organizational model is a strong advantage - Background in SaaS, EdTech, or enterprise platform delivery strongly preferred - Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline required; Master's degree preferred Requirements - PMP (Project Management Professional) - PMOCP (PMO Certified Practitioner) - Certified Scrum Product Owner (CSPO) or equivalent Product Management certification Benefits - High-autonomy, high-trust operating environment with direct executive visibility - Work at the frontier of AI-native enterprise program delivery - Paid time off and a supportive, collaborative team culture - Continuous professional development through access to training materials and company courses