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Were a team of smart, curious engineers building scalable, reliable systems that power content creation for millions. We work with modern web technologies, tackle real-world challenges in distributed systems, and keep things practical-no overengineering, just solid solutions. If you love solving tough problems, moving fast, and building tech that creators actually use, youll fit right in.
On your day to day:
In this role, you'll lead a strong development team, balancing hands-on coding with technical leadership. You'll drive high-performance, maintainable web applications while defining architecture, scalability, and feature strategies. Beyond development, you'll oversee sprints, ensure code quality, and collaborate across teams to align business needs with engineering goals. Were looking for a problem solver with a startup mindset-someone who thrives in challenges, manages priorities effectively, and leads by example.

We are looking for a brilliant and highly motivated Full Stack Engineer who is passionate about technology and eager to make an impact. In this role, you will work on our web applications, contributing to both backend services and frontend applications to ensure seamless performance and scalability. You will be responsible for designing and implementing new APIs, optimizing existing systems, and building high-quality, maintainable solutions that enhance the overall user experience.
What will your day to day look like:
Full-Stack Development: Build and deploy frontend and backend code that supports growth initiatives, ensuring scalability and performance.
Rapid Prototyping: Quickly turn ideas into MVPs for testing and validation, using an agile and iterative approach.
Data-Driven Decision Making: Work closely with analytics tools to gather insights, track KPIs, and make informed decisions that fuel growth.
Collaborate with Cross-Functional Teams: Partner with marketing, product, design, and data teams to identify opportunities and run experiments.
Contribute to the Growth Strategy: Bring your technical expertise and creativity to brainstorm and prioritize growth opportunities that align with business goals.

We are looking for a brilliant and highly motivated Senior Backend Engineer who is passionate about technology and making an impact. You will work on the core processing system of our application, revolutionizing the way the audio and video is recorded.

Were looking for a Data Analyst to join the Data for AI team. This is a hands-on, customer-facing role focused on working with leading AI companies to turn real-world data into inputs that support model development and evaluation.
Youll collaborate closely with external AI teams and internal engineering and product partners to deliver data-driven solutions for specific AI use cases. The work is fast-paced, technical, and often open-ended, requiring comfort with large datasets, ambiguous requirements, and end-to-end ownership.
What does the day-to-day looks like:
Own end-to-end delivery of data solutions for AI use cases, from understanding model and product requirements to analysis, implementation, quality, and automation
Work hands-on with large, raw datasets to create high-quality data inputs that support model training, evaluation, and iteration
Apply strong quantitative analysis and data exploration skills to assess coverage, quality, and behavior of data used in AI systems
Build scripts, analyses, and reusable components in Python and SQL to support scalable and repeatable workflows
Collaborate closely with Engineering to ensure solutions are reliable, scalable, and production-ready
Partner directly with external AI teams and internal stakeholders to translate open-ended questions into concrete data outputs.

our Data & Analytics team believes theres a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If youre passionate about finding radical new ways to leverage data, youll fit right in.
On your day to day:
On a day-to-day basis, we transform raw data into clean, structured models using tools like SQL, Python, and dbt. We build and maintain modern BI platforms, develop reporting systems, and design AI-driven analytics that surface valuable insights quickly and reliably. Our team is hands-on with building reusable metrics, defining source-of-truth data models, and ensuring consistency through a strong semantic layer. Whether were shipping a new dashboard, debugging a dbt model, or refining how a metric is defined across the business, our focus is always on clarity, scalability, and enabling smarter, faster decisions.

Were looking for a seasoned and driven Team Lead to head our NLP & Speech team. In this role, youll lead a high-performing team of researchers and engineers developing state-of-the-art capabilities in real-time transcription, semantic understanding, content generation, and AI-powered editing tools. Leveraging our unique access to vast multimodal datasets and large-scale compute, your team will drive ambitious applied research projects from concept to deployment - powering intelligent, intuitive experiences for millions of content creators.
As a hands-on team lead, youll shape the technical roadmap for NLP and Speech , identifying key opportunities to invest in foundational technologies and grow the team through strategic hiring and mentorship. Youll work cross-functionally with product, engineering, and design partners to ensure that advanced research translates into robust, scalable features that define the future of AI-assisted content creation.

We are looking for a Backend Engineer to join our MLOps team and help build the infrastructure that powers cutting-edge AI models.
In this role, youll manage the end-to-end MLOps lifecycle, designing event-driven systems that handle massive video data and moving compute-intensive, generative models from research to production.
You'll collaborate closely with AI researchers and video-processing teams to ensure our AI services are scalable, reliable, and performant.

We're a team of smart, curious engineers building powerful, intuitive applications that power content creation for millions on Apple platforms. We work with Swift, SwiftUI, and the latest iOS/macOS frameworks, tackle real-world challenges in client-side performance and user experience, and keep things practical-no overengineering, just solid solutions. If you love solving tough problems, moving fast, and building apps that creators actually use, you'll fit right in.
On your day to day:
As a Senior iOS Developer for the iOS and Mac app team, your typical day involves deep technical work and mentoring junior developers. You start by reviewing overnight bug reports and checking CI/CD pipeline status before participating in focused daily standups with the mobile team. Much of your day is spent architecting robust solutions, writing high-quality Swift code, and conducting thorough code reviews to ensure our recording apps deliver seamless experiences across Apple platforms. You collaborate closely with product and design teams to translate requirements into technical implementations, while also researching and integrating the latest iOS frameworks and technologies. Throughout the day, you tackle complex technical challenges, optimize app performance, and share your expertise with teammates through pair programming and technical discussions, ensuring recording technology performs flawlessly on iOS and macOS devices.

we are looking for a GTM Engineer.
On your day to day:
Youll be our first GTM Engineer, building the bridge between data, automation, and GTM excellence. Your day will include designing and deploying AI-powered agents, connecting multiple tools like HubSpot, Snowflake, and Gong, and turning fragmented data into automated insights, workflows, and sales intelligence.
Youll create real impact by enabling our reps to move faster, engage smarter, and retain more customers, with the help of scalable tech and smart automation.

Were hiring a Mid-Level DevOps Engineer to join our growing infrastructure team. You'll be working hands-on with modern AWS-native technologies, helping us scale secure and observable cloud environments, while partnering closely with developers to build and ship reliably.
Responsibilities:
Manage scalable, production-grade AWS infrastructure with Terraform
Maintain Kubernetes clusters, including deployments, autoscaling, and ingress
Handle cross-service communication using Kafka, SQS, or PubSub
Set up observability and alerting using Grafana, Prometheus, and log aggregation tools
Integrate Cloudflare for traffic protection, rate limiting, and caching
Manage and improve CI/CD workflows using GitHub Actions and ArgoCD
Collaborate directly with developers on environment setup, debug sessions, and deployments
Implement IaC and GitOps patterns across services and teams

Were growing fast and looking for a Backend Core Team Leader to own and scale our core media processing infrastructure.
On your day to day:
As the Backend Core Team Leader at Riverside, you will lead a team of backend and video engineers responsible for the companys media processing pipeline. Youll own the architecture and scalability of both real-time and offline processing systems, ensuring top performance and cost efficiency. Working closely with our AI, Product, and Infrastructure teams. Youll drive innovation in how Riverside processes and optimizes large-scale video and audio data using distributed systems and cloud-native technologies, while establishing best practices for monitoring, observability, and quality control across the entire processing stack. Beyond the technical leadership, youll mentor and grow engineers, fostering technical excellence and a culture of ownership, creativity, and impact.

We are seeking a highly skilled Angular Developer to join our team and contribute to critical initiatives at the core of our platform. The ideal candidate will demonstrate strong analytical and problem-solving capabilities, a proactive work ethic, and the ability to take full ownership of assignments from inception to completion.
This position requires the capacity to perform effectively in a dynamic environment, manage multiple projects simultaneously, and collaborate closely with cross-functional teams. Excellent communication skills, attention to detail, and the ability to prioritize tasks and meet deadlines are essential.

Design and implement complex frontend features for our content creation and management platform, ensuring scalability, performance, and maintainability.
Own features end-to-end - from technical design and architecture decisions through implementation, code review, testing, and production deployment.
Collaborate with product managers, designers, and backend engineers to translate requirements into technical solutions and deliver high-quality features.
Drive technical excellence by establishing coding standards, conducting thorough code reviews, and mentoring team members on best practices.
Monitor production systems using observability tools, proactively identify performance bottlenecks, and implement solutions to improve reliability and user experience.
Lead initiatives to reduce technical debt and modernize the codebase while maintaining backward compatibility and system stability.
Champion quality through comprehensive testing strategies including unit, integration, and e2e tests, ensuring high coverage and confidence in releases.

Required Data Scientist
About the Role
The Data Science department plays a pivotal role in our company, generating value to us by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities.

We are looking for an experienced QA and Automation Engineer to design test scenarios and execute manual and automated test plans for web applications.
We are looking for people who look at the world differently, people who are passionate about making sense out of huge amounts of data, who explore, analyze and lead the solutions they envision. If you are an engineer that is passionate about being part of an innovative product, making an impact, and striving to work with the industrys best talent as part of one of the fastest growing and successful startups around - we are where you want to be!
So what will you actually be doing?
Design, plan, analyze QA tests for web applications.
Work closely with the development teams and be part of a development cycle.
Design and execute automated end-to-end regression and sanity tests, identifying gaps and deficiencies.
Assess delivery readiness and maintain outstanding UX/UI standards through manual testing as needed Review final product functionality before releases.
Handle software updates, patches, and bug fixes.

Were looking for an Analytics Engineer to join our team and play a key role in shaping how data drives our product and business decisions.
This role is perfect for someone who enjoys working at the intersection of data, product, and strategy. While Product Analysts focus on turning data into insights, youll focus on building the strong data foundations that make those insights possible. You wont just run queries; you will design the data architecture and own the "source of truth" tables that power our strategic decision-making.
Youll work closely with our Growth and Solutions teams, helping them move faster and smarter by making sure the data behind Generative AI, Data-as-a-Service (DaaS), and advanced product models is clear, reliable, and easy to use. Your work will have a direct impact on how we build, scale, and innovate our products.
What Youll Do
Define the Source of Truth: Take raw, complex data and transform it into clean, well-structured tables that Product Analysts and Business Leads can use for high-stakes decision-making.
Translate Strategy into Logic: Work with Product, Growth, and Solutions leads to turn abstract concepts (like "Activation," "Retention," or "Feature Adoption") into precise SQL definitions and automated datasets.
Enable High-Tech Initiatives: Partner with our AI and DaaS specialists to ensure they have the structured data foundations they need to build models and external data products.
Optimize for Usability: Ensure our data is not just "there," but easy to use. You will design the data logic that powers our most important product dashboards and growth funnels.
Maintain Data Integrity: Act as the guardian of our metrics. You will ensure that the numbers used across our product and business reports are consistent, reliable, and logical.