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Were looking for an Application Security Engineer with a passion for AppSec to join our growing team.
Responsibilities:
‍‍Build and maintain an advanced security research lab to test, evaluate, and supercharge detection tools.
Analyze tools across multiple domains: SAST, SCA, DAST, Secret Detection, IaC Scanning, Container Scanning, CSPM, and more.
Identify detection gaps and develop techniques and rules to close them.
Leverage Python and AI practices to automate research and drive smarter detection strategies.
Monitor emerging threats, CVEs, and high-profile incidents - and develop relevant detection content and platform enhancements.
Collaborate closely with engineering, product, and marketing

We're looking for a senior AI Engineer with a strong backend background and deep experience building agentic AI systems to join our growing team.
Responsibilities:
Own the development of end-to-end AI agents, including both customer-facing agents and deep background agents. This includes designing agent architectures, building and maintaining agent tools, constructing and iterating on prompts, and continuously evaluating, operating, and improving the agent infrastructure in production.
Integrate large language models (LLMs) into production environments to enable autonomous task handling and decision-making.
Collaborate closely with engineering, product, and security teams to turn ambiguous problems and AI research into reliable, production-grade capabilities.

Were seeking a strategic and hands-on Head of Engineering to lead and scale our technical organization.
In this role, you will turn our product vision into a strong, scalable engineering foundation, build efficient processes, and drive technical excellence. You should be passionate about technology, user value, and high-quality execution. Success means challenging assumptions, diving into details, and shaping both the product and the team that builds it.
Responsibilities
Lead and scale of 20-30 engineering organizations (Frontend + Backend) through two Group Leads.
Own the technical strategy and roadmap, ensuring strong alignment with product goals and long-term company vision.
Design and oversee scalable, reliable system architecture across image processing, AI model serving, and data pipelines.
Remove bottlenecks to improve development velocity and overall engineering efficiency.
Drive hiring, mentoring, career development, and a culture of ownership and excellence.
Roll up your sleeves when needed and set the standard for hands-on technical leadership.
Enforce engineering best practices across code quality, CI/CD, testing, deployment, and observability.
Partner closely with Product, AI/ML, and Design teams to translate business needs into technical solutions.
Make key technology decisions and evaluate new tools, frameworks, and services.
Define and track engineering KPIs to ensure system performance, uptime, and team productivity.

looking for a highly motivated Algorithm Intern to join our cutting-edge AI team. This is a unique opportunity to work on real-world deep learning challenges, contribute to production-level systems, and collaborate with top-tier engineers and researchers.
This is a full-time, 3-month internship, with the potential to transition into a full-time Algorithm Engineer position upon successful completion.
Why Join Us?
Work on cutting-edge AI technology used by real users
Learn fast and gain real production experience
Be part of a collaborative, high-impact team
Opportunity to convert to a full-time role
Responsibilities
Design, implement, and improve deep learning models.
Work on real-world AI problems using large-scale data.
Collaborate closely with experienced engineers and researchers.
Run experiments, analyze results, and optimize model performance.
Take ownership of projects and drive them forward independently.
Stay up to date with the latest trends in AI and deep learning.

We arelooking for a deep learning engineer experienced with computer vision to join our DL algorithms Team. We are dealing with a variety of tasks such as regression, segmentation, classification and detection while editing millions of images every week for professionals, and holding tens of millions edited images by professionals used as datasets.
Responsibilities
Design, development and bring to production novel, robust and efficient deep learning algorithms in the field of computer vision.
Create proofs of concept for new products and technology.
Evaluate and benchmark different algorithms for unique, proprietary datasets.
Collaborate with team members to define future technology and features.

We are seeking an experienced Backend Team Lead, to build and lead a high-performing backend engineering team while driving critical technical initiatives across our platform. This is a pivotal role where you'll balance hands-on technical contribution with people leadership, shaping both our engineering culture and technical architecture.
You'll own significant parts of our backend infrastructure - from large-scale image processing pipelines and AI model serving systems to distributed cloud architecture and RESTful APIs. As a technical leader, you'll mentor engineers, drive architectural decisions, and ensure our systems scale to handle billions of images while maintaining reliability and performance.
Additionally, you will serve as a Squad Lead, managing a cross-functional business unit that includes both Backend and Frontend engineers, driving end-to-end product delivery.
This role offers the opportunity to directly impact our growth by building the team and systems that power our AI-driven photo editing platform used by professional photographers worldwide.
Responsibilities
Lead, mentor, and grow a team of Backend engineers, conducting 1-on-1s, performance reviews, and career development planning.
Lead a cross-functional squad (Backend + Frontend engineers) as a Squad Lead, driving product initiatives from conception to delivery.
Drive technical strategy and architectural decisions for Backend systems, ensuring scalability, reliability, and maintainability.
Develop and optimize scalable, distributed systems on cloud infrastructure.
Balance hands-on technical work (coding, design reviews, troubleshooting production issues) with team leadership and strategic planning.
Conduct code reviews and establish best coding practices, ensuring adherence to engineering standards across your team.
Monitor system health and lead incident response efforts to ensure high availability of customer-facing services.
Foster a culture of ownership, continuous improvement, and technical excellence within your team.

We are seeking a Backend Engineer, passionate about AI and image editing to join our elite team and play a key role in Backend Engineering, MLOps, and Data Engineering, driving innovation and efficiency.
Responsibilities
Developing and optimizing scalable, distributed systems on cloud infrastructure (AWS/GCP/Azure), encompassing storage solutions, servers, and APIs.
Enhancing application efficiency for increased scalability and performance.
Implementing robust security measures to protect data integrity and privacy.
Collaborating with cross-functional teams to integrate backend systems with front-end platforms for a seamless user experience.
Conducting code reviews and ensuring adherence to best coding practices.
Monitoring and improving system health and performance, including troubleshooting and debugging issues.

We are seeking a highly skilled and motivated Senior Partnerships Manager to join our dynamic development team.
As Senior Partner Manager, you will scale our presence in the creator economy. Youll own the end-to-end lifecycle of high-authority video influencer partnerships, turning the creator community into a professionalized growth engine for our video editing tools.
Responsibilities
Strategic Growth: Design and execute a creator-led acquisition strategy to meet revenue and user growth goals.
Campaign Management: Oversee end-to-end collaborations, from creative briefing and content quality to global calendar alignment.
Relationship Lead: Nurture top-tier partner loyalty through high-touch engagement and representation at industry events (e.g., VidCon, WPPI).
Performance Analytics: Own the ROI of the creator channel, using data to optimize commission structures and conversion funnels.
Cross-Functional Liaison: Translate creator feedback into actionable insights for the Product and Marketing tea.