לוח משרות דרושים, לחיפוש זה נמצאו 34,230 משרות

our company is seeking a Business Product Analyst - a business-minded analyst who will work hand in hand with our Product Managers and Scrum teams as a true Business Partner. This is not a reporting or dashboard role. Your mission is to help the product teams deeply understand how our features are used by our customers, what value they create, and how they can make money. You will turn product and business data into clear, actionable insights and recommendations that shape what the company builds, how it is measured, and how it is monetized. In a world where AI can surface data, this role exists to answer the harder business questions: Who uses this feature and why? Is it creating value? And how can it make money?
Key Responsibilities & Focus Areas
* Drive Strategic Direction, Not Just Feature Metrics: You won't just analyze isolated features-you will connect product performance directly to company-wide strategy. By uncovering the true business impact of what we build, your insights will shape executive decisions, guide product roadmaps, and directly influence our long-term trajectory and growth
* Shape Product & Strategic Direction: Go beyond isolated feature tracking to connect product performance directly to company strategy, ensuring every development choice informs the broader roadmap and long-term business trajectory.
* Act as a Strategic Product Partner: Embed yourself in the daily rhythms of Product and Scrum teams, bringing a high-level business and data perspective to shape feature concepts into core strategic drivers.
* Evaluate Holistic Value & Ecosystem Impact: Analyze usage patterns and user journeys to understand how features contribute to overall platform engagement, long-term retention, and compounding business value
* Scale Monetization & Business Models: Translate product behavior into comprehensive revenue strategies, connecting feature engagement directly to pricing structures, monetization opportunities, and company-wide growth.
* Challenge Assumptions & Drive Core Focus: Use rigorous data insights to question legacy beliefs, helping leadership and product teams prioritize high-impact initiatives and define where to double down or pivot.
Advantages:
*  Experience with monetization or pricing analysis.

We are seeking a Senior AI Researcher to lead post-training evaluation, red-teaming, and reinforcement learning (RL) gym audits on open-weight models. The ideal candidate will establish rigorous benchmarking methodologies, evaluate large language models (LLMs) against complex threats like Indirect Prompt Injections (IPI), and construct post-training evaluation pipelines that accurately measure realistic frontier-level security capabilities. Key Responsibilities RL Post-Training & Benchmarking
* Execute post-training runs (e.g. GRPO) using mainstream open-weight generalist models against security-focused RL environments, targeting threat vectors like Indirect Prompt Injection (IPI).
* Reward Diagnostics & Trace Analysis - Analyze live loss curves and rollout traces to identify reward hacking, lazy policy convergence, and flawed or over/under-specified verifiers. Task & Environment Auditing
* Review tasks and multi-turn environments (including tool use, web navigation, and computer use) for realism, threat model accuracy, data distribution, and dataset balance. Performance Reporting (Gym Cards)
* Generate comprehensive evaluation cards detailing hill-climbing performance uplift across checkpoints, failure modes, tokens/turns per rollout, and task-level success rates. Integration & Orchestration
* Integrate dockerized environments (e.g., Harbor format) into internal training frameworks, optimizing reset/statefulness semantics, concurrency, and throughput ceilings.
Hybrid:
Yes

We leverage cutting-edge technology to provide unparalleled financial services solutions.

Our commitment to innovation and excellence has established us as a leader in the fintech industry.

Responsibilities
The role includes test execution of banking processes on clients or banker different channels (application, Web, Internal bank UI systems, accounting)
Build and run test scenarios based on product design documentation
Performing software QA testing
Documentation, investigation, and recording of test results to gather data and hand it over to the R&D team for further analysis.
Collaborate with the Product Development team to ensure consistent project execution

As an Engineering Team Lead, you will play a critical role in designing, delivering, and maintaining software that powers this transition-where reliability, precision, and performance are paramount. You will guide an agile team of full-stack engineers, balancing technical system architecture with hands-on development and people mentorship.



Responsibilities
Manage a team of 5 engineers.
Design, implement, and validate robust backoffice platform, complex business workflows, and testing infrastructure using TypeScript across React and Node.js.
Provide technical guidance, architecture mentorship, and code reviews to team members.
Collaborate with customers and internal stakeholders to transform complex banking workflows and ambiguous operational needs into clear, actionable functional specifications.
Work with the team to establish and promote high standards for code quality, developer experience, and engineering excellence.
Troubleshoot and resolve system issues, ensuring solutions are delivered effectively both independently and as part of a team.

We're looking for an Infrastructure Engineer with a strong backend engineering mindset - someone who treats infrastructure as software.

In this role, you won't just operate infrastructure - you'll design systems, write code, and build controllers and automation that power our Kubernetes-native platform.

You'll work closely with platform, DevOps, and backend teams to create scalable, reliable infrastructure abstractions used by hundreds of developers.



Responsibilities
What Youll Do:

Design and build backend-driven infrastructure workflows using Kubernetes controllers and declarative patterns.
Develop automation and tooling in Go or Python to manage infrastructure at scale.
Manage AWS resources through Kubernetes-native approaches (ACK or similar controller models).
Develop internal APIs, scripts, or services that improve developer workflows and platform capabilities.
Operate and evolve multi-cluster Kubernetes environments with a focus on automation and reliability.
Implement observability patterns and integrate monitoring signals into infrastructure logic.
Collaborate with backend engineers to design infrastructure that behaves like software - versioned, testable, and automated.