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required QA Web Engineer.

About Tailor Brands Tailor Brands is a platform that builds businesses — from launch to growth and everything in between. Our Guidance Engine creates a personalized plan for every new business, simplifying the process of starting, managing, and scaling. We don’t just give you tools — we guide you through the journey of building a successful business. What Makes This Role Unique We’re opening new product lines and audience segments. This role takes leadership-defined strategic bets and turns them into fast, measurable MVPs. It’s hands-on, high-velocity work — building, testing, deciding, and moving on. Not backlog management. Not feature iteration. Real validation and real calls. What You’ll Do
* Scope and ship lean MVPs tied to company-level growth bets.
* Prototype using no-code, scripts, or prompt-based workflows to learn quickly.
* Run pilots end-to-end — recruit users, set metrics upfront, instrument, and decide whether to scale, adjust, or stop.
* Analyze funnel and cohort data and share clear readouts tied to decisions.
* Partner with Engineering, Design, Growth, Support, BizOps, and Legal/Compliance to make sure launches are real and supportable.
* Define what it takes for MVPs to graduate to GA — owners, support flows, and monitoring. What This Role Isn’t
* This is not geographic expansion, not feature polish, and not project coordination.
* It’s hands-on product building with shifting priorities, short cycles, and clear accountability for outcomes. What Success Looks Like Early
* Translate 1–2 strategic bets into scoped MVPs with clear metrics and learning plans.
* Launch at least one pilot with instrumentation and decision thresholds agreed in advance.
* Establish a weekly cadence of concise updates and decisions.

As a DevOps Manager , you will lead our Cloud infrastructure team. Building and maintaining scalable, secure, and cost-efficient infrastructure. You will drive the adoption of modern DevOps practices, ensuring alignment between business objectives, engineering workflows, and operational excellence. This leadership role requires a balance of hands-on expertise and strategic vision, empowering your team to deliver reliable, high-quality solutions across a fast-paced, dynamic environment. You will play a pivotal role in shaping Fiverrs cloud engineering strategy - optimizing costs, enhancing system reliability, and implementing innovative technologies (including Generative AI-driven automation and insights) to improve productivity and decision-making.

What am I going to do?:

* Lead and mentor a team of DevOps engineers, fostering a culture of collaboration, ownership, and continuous improvement.
* Design, implement, and maintain scalable, secure, and cost-efficient DevOps architectures.
* Continuously evaluate and adopt emerging DevOps tools and best practices to enhance operational efficiency and product quality.
* Drive adoption of Infrastructure as Code, observability, automated testing, and deployment strategies.
* Monitor infrastructure cost efficiency and reliability, providing data -driven insights to leadership.
* Guide the team in exploring and applying GenAI-native tools (e.g., for automating documentation, anomaly detection, self service for developers and performance optimization).
* Partner with cross-functional leaders to influence architecture, operations, and development workflows.
* Report to the VP of Cloud Engineering, contributing to Fiverrs long-term technology roadmap.

We are seeking a Data Engineering Lead to own and scale data platform infrastructure

Build our new data Lakehouse to support various product and business needs
Support cutting-edge AI Agents and cybersecurity use cases
Be part of the Data and AI Algorithms group
Collaborate closely with dev teams, AI/ML engineers, security researchers and business teams
Ensure the availability, reliability and quality of our data infrastructure
Help define best practices for data modeling and orchestration at scale

We are seeking an experienced Director of Product Management to lead one of our product management groups and drive the roadmap and execution of our cybersecurity product portfolio.

product management combines a deep understanding of customer pain points, business processes, people, and technology, together with a vision for where the company and our products need to be. This role requires strong leadership, proven experience in building and managing product teams, and deep expertise in cybersecurity.

Lead and grow a team of product managers, including direct management of senior PMs.
Define and drive the product vision, strategy, and roadmap for cybersecurity product offerings.
Collaborate closely with engineering and research leadership to deliver innovative solutions that empower application security professionals and business teams alike.
Partner directly with customers and stakeholders to ensure our products deliver real, measurable value, and identify opportunities for continuous improvement.
Play a critical role in integrating AI and generative AI technologies, such as Copilot, into our platform to enhance security, usability, and adoption.
Act as a thought leader in the market, representing externally and shaping the direction of the low-code/no-code and AI security ecosystem.
Report directly to the VP of Product, while influencing cross-company priorities and ensuring alignment with business goals.

We're seeking an individual who not only possesses technical skills but also boasts a strong intuition for UX and product considerations. If you thrive on collaborating closely with software engineers and product managers, we want you to join our team.



Responsibilities:

Take responsibility and lead the development of multiple components of the system in a dynamic environment.
Design, implement, and innovate features using cutting-edge technologies.
Design, implement, and innovate end-to-end major features from frontend to backend.
Work closely with product managers, architects, and software engineers to deliver the best customer and user experience.
Lead the growth of the frontend infrastructure, both individually and by working with others.
Promote high-quality design and testing of frontend components and infrastructure.

This is a key position that requires discretion and the ability to manage the CTOs priorities efficiently. The ideal candidate is detail-oriented, proactive, an independent problem-solver, and comfortable working across time zones in a startup environment.

Responsibilities:

Manage the CTOs calendar, meetings, and travel arrangements
Handle professional communication and coordination between the CTO and internal/external stakeholders
Prioritize and coordinate tasks according to the CTO's priorities
Handle sensitive and confidential information with professionalism and discretion
Coordinate participation in local and international conferences and media engagements
Support the CTO across personal-logistical matters to ensure smooth daily operations

This is a research‑first role focused on deeply understanding LLM internals to improve the security of AI agents. Youll design careful experiments on activations and interpretable features- e.g., probing, attribution & ablation/patching, representation‑geometry analyses-to uncover mechanisms behind jailbreak, indirect prompt injection, and other attacks. Then translate those insights into signals that can be used for detection and analysis of a model response.

The field of LLM interpretability at scale is exploding, with several major publications in the last months, and major opportunities for innovation.



What Youll Do

Investigate model internals, including activation/features analysis, unsupervised clustering, discovery of directions in latent space, etc. It may also require training specific model parts to improve interpretability metrics.
Design security‑grounded evaluations: curate datasets for different attack types, evaluate performance of different white box (model internals) methods compared to black box (input/output only) baselines.
Publish and share: produce Zenity Labs posts and open artifacts; when the work is strong, aim for tier‑1 ML venues (NeurIPS, ICML, etc.) and security forums. A publication of code and/or trained models in cases of community relevant novelty.
Build tools: Several open source libraries exist (like Anthropics attribution graphs infra), but the research in the field is very dynamic, which will require you to build and adapt tools to your own research directions. This also includes agents to automate research work and distill knowledge from designed experiments.