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As an AI Engineer at our company, you will be a key player in building our new AI platform, AI Studio. This platform aims to provide users with instant answers to complex market research questions, generate world-class reports, and create live, interactive, and powerful dashboards. Our goal is to reduce the complexity and time-to-insight for our users, helping them streamline their market tasks and achieve automation that drives real value.
So, what will you be doing all day?
Design and develop LLM-based intelligent agents that can handle complex market research queries.
Utilize LangGraph and other frameworks to create state of the art AI agents that integrate various tools and data sources.
Implement integrations that allow agents to take automated actions on behalf of users, streamlining workflows and reducing overhead.
Collaborate with product, data, and UX teams to ensure that AI solutions are aligned with user needs and business goals.
Continuously evaluate and improve the performance of AI models to ensure high-quality and data-driven results.

Were looking for a Backend AI Engineer to own and build agentic AI architecture. This role sits at the intersection of backend engineering and production-grade AI systems. Youll design, build, and scale the backend that powers our AI creators, enabling intelligent, reliable, and observable agentic workflows at scale.
Youll work on orchestrating multi-step AI workflows that involve LLMs, tools, and decision logic, and ensure they operate reliably under high load and real-world usage. A key part of the role is designing systems that can handle non-deterministic AI behavior, recover gracefully from failures, and continue to perform as usage and complexity grow. Youll also be responsible for making architectural decisions that support scalability, low latency, and long-term maintainability of our AI platform.

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 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.

We are looking for an experienced and dynamic Team Lead to manage a talented group of frontend & backend engineers, qa testers and devops. In this role, you will oversee the design , development and delivery of versions of our software to our biggest customer, ensuring that it meets the highest standards of quality and efficiency.
Additionally, you will collaborate closely with stakeholders in the customer team and within the organization, requiring strong communication and leadership skills.
Key Responsibilities:
Lead, mentor, and manage a hybrid team (Onshore & Offshore) of 10 engineers (frontend, backend, quality, devops), fostering a collaborative and high-performance culture.
Oversee our AI-first transformation in your team- moving all coders to do 100% vibe coding
Collaborate with product owners, QA, DevOps, and other team members to deliver high-quality software solutions within an Agile framework.
Ensure the teams not only develop features but also write comprehensive automation tests to validate and cover their work, ensuring high quality and stability.
Ensure designs and implementations align with technical specifications, industry standards, and best practices.
Promote continuous improvement by exploring and adopting new technologies and methodologies.
Provide support for customer and delivery teams in successfully implementing projects based on the platform.
Contribute to all phases of the development lifecycle, from design through deployment to maintenance.
Write well-structured, testable, and efficient code when needed.

This role focuses on maintaining the integrity of data flows between enterprise systems. You will act as a technical bridge between business units and engineering teams, ensuring seamless integrations and rapid troubleshooting, particularly during high-stakes business cycles.
Key Responsibilities:
Technical Troubleshooting: Analyze API logs and JSON payloads to identify, debug, and resolve complex integration errors.
Cross-Functional Collaboration: Partner with Finance, Sales Ops, and technical teams to verify end-to-end data integrity.
Critical Period Support: Provide heightened technical assistance during "End-of-Quarter" windows to ensure business continuity.
On-Call Rotation: Maintain availability for weekend on-call shifts as required.

we are now searching for a Technical Support Engineer to join our Customer Support team. The Technical Support Engineer manages customer issues to ensure that they are resolved quickly and satisfactorily.
He or she also works to mentor and lead others on the support team, to improve customer support processes, to maintain strong customer satisfaction, and to influence the product roadmap.
As a member of a small and dynamic company, he or she also gets involved in other activities such as technical assistance to the Sales team, helping customers integrate OSPWAT products, helping to test and assess new products and product releases, and other special projects.
We are looking for an energetic and motivated person who likes interacting with customers, tinkering with software, learning about new technologies, and doing what it takes, to contribute to quick growth.
What You Will Be Doing:
Customer Issue Management:
Review and prioritize the queue of open tickets, ensuring timely resolution of each issue.
Track customer status for each ticket, including support level, previous interactions, and satisfaction level.
Investigate and research customer-reported issues, striving to recreate and resolve them promptly.
Collaborate with internal departments, such as Product Development, Finance, Legal, etc., as needed to address customer requests in a coordinated and efficient manner.
Provide responsive phone and chat support to address customer queries and concerns.
Documentation and Reporting:
Ensure comprehensive documentation of all customer interactions, updates, and resolutions in the ticketing system.
Maintain proper attributes and tags for tickets, facilitating efficient tracking and reporting.
Create and update customer-facing knowledge base articles to aid in issue resolution and self-help for customers.
Continuous Improvement.
Proactively enhance technical knowledge and proficiency in products.
Collaborate with cross-functional teams to contribute insights and feedback for product improvement.

Required Software Engineer
Powerstore Data Path Engineering team constantly push the boundaries of what is possible in the world of Big Data storage and distributed systems. We are a true systems company and work at every layer of the storage stack, including all aspects of operating systems and file systems, distributed algorithms, high-performance protocol stacks, and next-generation virtualization technology.
Join us as a Software Engineer on our Data Path Engineering team in Herzliya, Israel to do the best work of your career and make a profound social impact.
What youll achieve:
You will be part of Engineering development team, where software engineers constantly push the boundaries of what is possible in the world of storage and distributed systems. We are a true systems company and work at every layer of the storage stack, including all aspects of operating systems and file systems, distributed algorithms, high performance protocol stacks, and next-generation virtualization technology.
You will:
Participate in the preparation, review and evaluation of software/storage requirements and specifications
Develop of core Software - using mainly C/C++, Python
Prepare written specifications for tasks of varied complexity from verbal requirements
Use defined software lifecycle methodologies
Review and implement test strategies for software products
Take the first step towards your dream career
Every team member brings something unique to the table.
Job ID:R287349.

We are looking for a Senior AI Engineer to join a strong and dynamic AI Engineering team. We are the focal point for AI initiatives, striving to constantly bring innovation and leverage AI capabilities across all company teams and products.
Today, AI is central to how we operate, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical Forterians to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company.
If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.
Why should you join us?
This is a great opportunity to be at the cutting edge of the AI revolution, helping to shape and build the AI platform for the future. Together, well build infrastructure for autonomous and interactive agents, enact AI guardrails and evaluation frameworks to ensure performance and safety, and implement state-of-the-art
AI and Agentic patterns.
This role presents a unique opportunity to enter the AI domain. For those with some experience in AI infrastructure, it offers the chance to grow within a team that is evolving us from the AI experimentation phase to building and leveraging AI-powered products.
What you will be doing:
Design, build, and maintain reusable AI capabilities - including models, tools, APIs, and platforms that power both internal and customer-facing solutions.
Develop and maintain our internal MCP server that easily and securely exposes our vast data stores to AI agents.
Create and implement robust evaluation frameworks and AI guardrails to safeguard our value and ensure model reliability.
Establish deep expertise and sustainable AI engineering practices.
Promote AI readiness and track adoption across the company to build lasting impact.
Build and optimize RAG (Retrieval-Augmented Generation) systems.
Take full ownership of projects: from gathering requirements from non-technical internal users to development, deployment, and operation.
Act as a consultant and advocate for AI engineering, helping other teams leverage the platforms and tools you build.
Partner with teams across to accelerate AI adoption and productization efforts.