We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. About the role This role is for our first-ever product analytics engineering hire, and a fundamental and critical part of the team for a market-defining company in its early stages. We’re looking for a passionate product analytics engineer to ensure every team at Runway uses data to be as effective as possible in their role. This role is for someone who has a combination of strong technical and data background and experience in understanding the needs of cross-functional partners across every team. You have the ability to take raw data and build tools and platforms on top of it for people to self-serve what they need. You’ll deeply understand what data we have, how we can better use it, and how to leverage AI tooling both for yourself and our teams to provide speed-of-thought data insights across the company. You’ll be excited to combine prior expertise with the rapidly changing areas of ML, tooling integrations, and our product data in order to do so. What you’ll do - Own the data infrastructure and pipelines for business critical product and user data - Conceptualize and build best-in-class internal tools enabling others to increasingly self-serve data needs - Take an AI-first approach to scaling Runway’s data tooling and use. You’ll provide the two necessary things that today’s AI systems lack – trust and total context – so data can help drive key decisions in the right direction - Work with sales and finance to ensure billing, revenue recognition, margin analysis, and other key financial metrics are accurate as products and go to market motions rapidly develop - Work with product and engineering to ensure critical usage data is available and interpreted in useful ways - Collaborate with with trust and safety teams on signals for detecting misuse or abuse - Collaborate with marketing and studios teams to help measure impact of all marketing initiatives - Build and maintain our data pipelines and third party tools that others use for dashboarding and analysis What you’ll need - 4+ years of experience working as a data analyst, engineer, scientist or similar, where your primary responsibility involved working heavily with product data - 4+ years of experience with SQL, ETL, python, and data modeling - Collaborative mindset and communication skills; Comfortable working directly with sales, product, finance, and engineering teammates. You can translate data needs into solutions, gather context needed to unblock yourself, and build tooling that any teammate is comfortable using - Understanding of best practices for data modeling, manipulation, transformation, and maintaining privacy - An added bonus if you have experience as a founding product data analyst or first hire in a data role Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC

LearnTastic is a fast-growing online education platform providing accredited continuing-education and compliance courses for professionals across industries-from healthcare and construction to HR and education. With more than 1,000 courses and over a million learners served, LearnTastic is redefining accessible, self-paced learning. Our mission is to make professional development simple, engaging, and impactful-anytime, anywhere. As part of our dynamic team, you’ll help shape the learning experiences that empower individuals and organizations nationwide. At LearnTastic, great design isn’t just about usability-it’s about transforming how people learn and grow. Job description We are seeking a detail-oriented and proactive Data Analytics Specialist to drive data-driven insights across the organization. This role will play a key part in enabling cross-functional collaboration and working closely with the development team to enhance and strengthen backend analytics systems. The ideal candidate combines strong analytical skills with technical expertise and business acumen. The ideal candidate should have strong expertise in marketing analytics, attribution, GA4, BI tools, and the ability to collaborate closely with cross-functional teams while independently driving insights and follow-ups. Key Responsibilities: - Analyze large datasets to uncover actionable insights that support strategic decision-making - Develop and maintain dashboards, reports, and visualizations for stakeholders - Collaborate with cross-functional teams (product, engineering, marketing, operations) to understand data needs and deliver solutions - Work closely with the development team to design, optimize, and scale backend analytics infrastructure - Define and track key performance indicators (KPIs) and metrics - Ensure data quality, consistency, and integrity across systems - Translate complex data findings into clear, concise business recommendations - Support A/B testing, forecasting, and predictive analytics initiatives - Identify opportunities to automate reporting and improve data processes - Build, maintain, and optimize dashboards and reporting frameworks using tools like Power BI and Looker - Analyze funnel performance (traffic → registration → conversion → revenue) and identify key drop-offs and growth opportunities - Work extensively with GA4, ensuring accurate tracking, event setup, and attribution - Collaborate with development and product teams to improve backend tracking, data pipelines, and analytics implementation - Ensure data accuracy and consistency across GA4, backend systems, and BI tools - Generate actionable insights and proactively highlight performance issues, trends, and opportunities - Define and track key KPIs across marketing and business functions - Identify and resolve discrepancies between platforms (e.g., GA4 vs Ads vs backend data) - Automate reporting processes to improve efficiency and reduce manual effort - Work closely with stakeholders to translate business requirements into analytical solutions - Proactively follow up with teams to ensure implementation of tracking, reporting, and data fixes - Own and manage end-to-end reporting and analytics across marketing channels (Google Ads, Bing, Meta, Affiliate, etc.) Required Qualifications: - Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field - 2–5+ years of experience in data analytics or a similar role - Strong proficiency in SQL and at least one programming language (Python or R preferred) - Experience with data visualization tools (Tableau, Power BI, Looker) - Solid understanding of data modeling and database design - Experience working with backend systems and data pipelines - Strong analytical thinking and problem-solving skills - Exposure to A/B testing, forecasting, and predictive analytics - Experience in EdTech, SaaS, or performance marketing-driven businesses Preferred Qualifications: - Experience with cloud platforms (AWS, GCP, or Azure) - Familiarity with ETL processes and tools - Knowledge of statistical analysis and machine learning techniques - Experience in agile environments and working closely with engineering teams Key Competencies: - Strong communication and storytelling with data - Ability to work collaboratively across teams - Attention to detail and data accuracy - Proactive and solution-oriented mindset Benefits: - Working hours: 5am-2pm CST - 20 days of annual leave. - National holidays of your country of residence are observed. - Learning and development opportunities. This is a remote opportunity

• Become a trusted advisor working together with our clients, partnering with data owners, analysts, business users, and executive stakeholders to translate business needs into scalable analytics solutions • Work independently as part of a small team to solve complex analytics engineering use-cases across a variety of industries • Design and develop the analytical layer, including curated data models, semantic layers, metrics definitions, and transformation pipelines that power reporting, dashboards, self-service analytics, and AI use cases • Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt and credentialize your skills with certifications • Write high-quality code in SQL, Python, and Spark, and use software engineering tools and best-practices such as Git and CI/CD • Contribute to best practices around analytics engineering - data modeling, metric standardization, data quality, and governance • Accelerate analytics development velocity and improve solution quality by using AI-assisted engineering workflows and tools such as Codex, Claude, Copilot, and platform-native assistants like Snowflake Cortex Code and Databricks Genie Code • Partner closely with data engineers, analysts, data scientists to support production-grade analytics and AI applications

***An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED. Please do not apply if you currently do not possess this level of clearance.*** Are you a Mid-Level Analytics Developer who is ready for a new challenge that will launch your career to the next level? - Tired of being treated like a company drone? - Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again? - Our engineers were certainly tired of the same. At GliaCell our slogan is “We make It happen”. - We will immerse you in the latest technologies. - We will develop and support your own personalized training program to continue your individual growth. - We will provide you with work that matters with our mission focused customers, and surround you with a family of brilliant engineers. Culture isn’t something you need to talk about…if it just exists. If this sounds interesting to you, then we’d like to have a discussion regarding your next adventure! If you want to be a drone, this isn’t the place for you. We Make It Happen! GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks. GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat. We Offer: - Long term job security - Competitive salaries & bonus opportunities - Challenging work you are passionate about - Ability to work with some amazingly talented people Job Description: GliaCell is seeking a Mid-Level Analytics Developer on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract. We are seeking a talented and motivated Cloud-Based Analytics Developer. As part of our organization, you will be responsible for developing and maintaining high-performance analytic solutions that process heavy volumes of data. This is an excellent opportunity for someone experienced in data analytics writing, and a passion for big data and distributed computing. Key Requirements: To be considered for this position you must have the following: - Possess an active or rein-statable TS/SCI with Polygraph security clearance. - U.S. Citizenship. - Seven (7) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity is required. - Bachelor's degree in Computer Science or related discipline from an accredited college or university is required. - Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor’s degree. - Works well independently as well as on a team. - Strong communication skills. Key Skills: - Spark and/or MapReduce and/or SQL/NOSQL and/or Pandas/Numpy/SciPy Location: Annapolis Junction, MD Salary Range: The salary range for this full-time position is $115,000 to $190,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. SIGN-ON BONUS ELIGIBLE. Benefits: - CareFirst Medical Coverage for Employee and Dependents - Guardian Dental and Vision Coverage for Employee and Dependents - Up to 25 Days of Paid Time Off - Up to 40 hours of PTO Carryover - 11 Federal Government Holidays - Work From Home Opportunities - 401K Company Contribution, Fully Vested Day 1 - Discretionary, Certification, and Sign-On Bonus Potential - Employee Referral Bonus Program - Annual Professional Development - 100% Premium Covered for Life & Disability Insurances - Additional Voluntary Life Insurance Coverage Available - Employee Assistance Program - Travel Protection Program - Financial Planning Assistance - Bereavement and Jury Duty Leave - Monthly Team and Family Events - Technology Budget - Global Entry - Annual Swag Budget Learn more about GliaCell Technologies: https://gliacelltechnologies.applytojob.com/apply/ To apply for this position, respond to this job posting and attach an updated resume for us to review. GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.