דרושים » תוכנה » Production Operations Lead

For many of us, there’s that one podcast we never miss—and video content is a daily habit, whether for work or play. But few truly understand the effort behind the scenes. At Riverside, we do. That’s exactly why we built an AI-powered platform that helps creators, podcasters, marketers, and teams at brands like Netflix, Disney, Google, and Microsoft produce high-quality content with ease.
Our technology streamlines the entire content creation process—from idea to professional-grade output—without the need for expensive equipment or external production services. The secret? AI-driven tools that automate traditional production roles like editing, directing, and design, making studio-level content possible at the click of a button.
About the Engineering Team We’re 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, you’ll fit right in.
On your day to day We’re now looking for a hands-on Production Operations Lead to take ownership of the health, visibility, and reliability of our production systems. You’ll build and scale the monitoring infrastructure and processes, incident response processes, and service ownership models that enable engineers to ship quickly and safely. Working closely with the VP of R&D and collaborating across platform and product teams, you’ll drive how we operate in production, ensuring our systems are resilient, observable, and ready to scale with us.

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at our company, we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
our companys technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Engineering Team
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 practicalno 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
Were looking for someone whos genuinely passionate about technology and building scalable systems and applications. In this role, youll be hands-on, getting your hands dirty in the code, leading by example, and driving technical excellence across the board. Youll play a key part in shaping and scaling the engineering team, coaching team leads, and unlocking bottlenecks to increase dev velocity. Success in this role means going beyond the title, challenging ideas, diving into the details, and influencing both the product and the people who build it. Youll be a force multiplier across engineering, constantly pushing for better processes, stronger execution, and a culture of ownership.

We are seeking a visionary Director of Engineering with a strong product mindset to lead the strategy, development, and scaling of our internal platform for Engineering, and our cloud infrastructure capabilities for SaaS customers.
As a Director of Engineering, you will lead teams working on two major areas: a developer-centric platform that provides the tools, automation, and infrastructure needed to seamlessly develop, deploy, and operate services in production, and cloud infrastructure capabilities for SaaS customers, including customer-facing infrastructure and management features that enhance integration, security, and reliability, ensuring a robust experience for our SaaS customers.
As a Director of Engineering, you will...
Define and drive the vision, strategy, and roadmap for the internal platform for Engineering, ensuring alignment with SaaS business goals.
Build, lead, and mentor multiple cross-functional teams of developers and DevOps to deliver a scalable and reliable platform.
Foster a culture of collaboration, automation, and continuous improvement within the engineering organization.
Architect and deliver a self-service, developer-centric platform that simplifies development, SaaS management and production operations.
Provide observability solutions to improve system reliability and visibility of our SaaS products and operations.
Partner with engineering leaders, product teams, and business stakeholders to ensure platform capabilities align with SaaS growth and reliability goals.
Stay ahead of industry trends in Platform Engineering, DevOps, and cloud-native technologies to continuously evolve the platform.

About the job
A problem isnt truly solved until its solved for all. Thats why our companyrs build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at our company, youll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. Youll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
As a Technical Program Manager for Silicon Development, you will use your technical and management experience to lead the development and execution of complex, multidisciplinary SoC projects. You will plan programs and manage their execution from early concepts through development to tape-out and production. You will collaborate closely with architecture, design, verification, physical implementation and manufacturing teams throughout the SoC execution life cycle. This includes making technical decisions for the chip designs and methodology, driving project schedules, identifying risks and communicating them to all stakeholders, and managing partner teams.

The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our companyrs, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Plan, coordinate, and deliver custom silicon products.
Assess complexity and scope out the project, generate task lists, build a project timeline and work with the teams to make it into reality.
Lead the data-driven schedules and milestones, track the progress, proactively identify potential future issues, and identify mitigations with the team leaders.
Drive technical, budgetary, and schedule trade-off discussions with cross-functional teams.
Manage project execution and issues through design, development, test, manufacturing, deployment and sustaining activities for silicon and hardware products.

Do you want to use data to help drive the direction of products that impact the lives of over 1 billion people every day? If yes, we want to talk to you. We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis. The perfect candidate will have demonstrated experience in data infrastructure and data architecture skills, a proven track record of leading and scaling BI teams, demonstrated experience in operational skills to drive efficiency and speed, project management leadership, and a comprehensive vision for how data can proactively improve companies.
Data Engineering Manager, Analytics Responsibilities
Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision.
Define the processes needed to achieve operational efficency in all areas, including project management and system reliability.
Build a high-quality BI and Data Warehousing team and design the team to scale.
Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.
Manage data warehouse plans across a product vertical.
Drive the design, building, and launching of new data models and data pipelines in production.
Drive data quality across the product vertical and related business areas.
Manage the delivery of high impact dashboards and data visualizations.
Define and manage SLAs for all data sets and processes running in production.

Were seeking a visionary and technically hands-on AI Lead to join us and take charge of driving innovation across our core AI systems. As the AI Lead, you'll guide the architecture and development of advanced machine learning models that power our video and creative analysis platform. You will collaborate cross-functionally with product managers, engineering, and business development teams to deliver cutting-edge features that push the boundaries of whats possible in creative performance analysis.
This is a high-impact role for someone who thrives at the intersection of machine learning, product strategy, and creativity.
Key Responsibilities:
Lead the development, deployment, and optimization of machine learning models for video, image, and creative performance analysis.
Architect scalable AI/ML pipelines and infrastructure that support real-time and batch processing of multimedia data.
Guide research and experimentation initiativesidentify new technologies, modeling techniques, and opportunities for innovation.
Mentor and grow a team of machine learning engineers and data scientists as we scale.
Champion AI ethics, fairness, and explainability in our model development and deployment.
Stay ahead of industry trends in generative AI, computer vision, NLP, and Martech innovation, translating insights into competitive advantages.

Were looking for a Data Science Team Lead to join our winning team. This is an opportunity to take a leadership role in building innovative AI products, manage a growing team of algorithm researchers, and have a major impact on the methods, infrastructure, and product capabilities.

Youll lead projects from early research to full production deployment, guiding the development of models, scalable pipelines, and services that power critical features in the platform.

Responsibilities
Lead, mentor, and grow a team of Data Scientists providing both technical leadership and professional development.
Own the full lifecycle of AI projects: from research and prototyping through production-grade deployment and monitoring.
Design and oversee the development of scalable ML pipelines, model serving infrastructure, and robust data workflows in collaboration with software engineering and product teams.
Drive initiatives to deliver LLMs and other AI models as production-grade services within the organization.
Partner cross-functionally with product managers, clinical experts, and engineers to translate business needs into AI-driven features.
Guide research in NLP, NLU, and Deep Learning domains, staying at the forefront of industry developments and incorporating new methods where applicable.
Maintain a high standard of technical execution within the team, fostering a culture of ownership, quality, and innovation.
Communicate technical findings, project status, and strategic recommendations clearly to technical and non-technical stakeholders.

We are looking for an experienced and passionate Engineering Manager to join a rapidly growing team. We work in a fast paced environment, building a real-time bidding system which serves billions of users.
We value leaders who prioritize collaboration, mentorship and technical excellence - people who inspire their teams to innovate while creating a culture of ownership and accountability.
This is a great opportunity for experienced professionals who have a strong background in backend development, leadership skills, and a deep understanding of large-scale distributed systems. If you're passionate about tackling complex technical challenges and building products that reach a massive global audience, this role is for you.
What you'll be doing:
Manage a team of senior software engineers, fostering growth, collaboration, and high performance.
Ensure the efficiency, scalability, and stability of various backend system components.
Contribute to technological and architectural decisions.
Work closely with various stakeholders and departments to prioritize and deliver exceptional features.

We are seeking a skilled Engineering Manager to lead the Broker Platform Team responsible for building the next-generation on-premises platform that hosts collectors and actors within customer environments and connects securely to the Cortex Cloud. This platform VM provides a container-based runtime environment, designed for flexibility, scalability, and performance in diverse enterprise environments.
This role requires strong leadership, container technology knowledge along with experience in systems, networking, and secure software delivery. In this role you will work with multiple partners across Cortex Cloud and lead the engineering strategy and vision for Broker platform.
Your Impact
Key Responsibilities:
Lead and scale a high-performing engineering team building a containerized on-prem platform for hybrid deployment models.
Drive architecture and implementation of cortex platform for on-prem collectors and actors.
Ensure platform interoperability across virtualization platforms and operation systems.
Oversee integration with Cortex Cloud and ensure reliability in customer-hosted environments.
Define and manage execution of technical roadmaps, working closely with product, security, and infrastructure teams.
Establish strong security engineering practices across platform components.
Guide the adoption of modern DevOps and CI/CD pipelines for container-based development.
Support team growth through mentorship, coaching, and structured talent development.

Required Data Engineering Tech Lead
Data is everythingits at the heart of every product decision, every customer insight, and every strategic move we make. The Data Group builds and maintains the core data assets that power our products, from our Company and Contact databases to our Connect and Recommendation systems. This role sits at the forefront of that mission, leading engineering innovation that directly shapes the experience of our growing user base and drives the evolution of our intelligent data services.
What will you be responsible for?
Leading the design and evolution of scalable, high-quality data workflowsfrom batch pipelines to real-time data products.
Setting and upholding engineering best practices across code quality, testing, CI/CD, observability, and documentation.
Mentoring and empowering data engineers while fostering a high-performance, collaborative team culture.
Identifying and executing on opportunities to create new data features and assets that enhance product capabilities.
Driving architectural decisions around data modeling, storage, and compute in cloud environments (e.g., Databricks, Snowflake).
Collaborating with cross-functional stakeholdersincluding Product, DevOps, and R&Dto ensure seamless delivery and platform excellence.
Championing a data-driven mindset throughout the organization, balancing business context with technical rigor.