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We are rebuilding the way chips get built, and were looking for a senior engineer to help lead that transformation.

This is a full-stack platform role on the team responsible for the development environment behind our silicon. You will help define how agentic orchestration and durable execution become first-class parts of the chip-design workflow.

Were looking for someone who has built complex systems before - across backend, frontend, and infrastructure - and is ready to set the technical direction for what comes next.

What You'll be doing:

Architect and lead full-stack EDA platforms end to end, from data models and backend services to the frontends engineers use every day - while making key technical and build-vs-buy decisions.

Own the infrastructure these platforms run on at scale, including CI/CD, containerization, observability, on-prem compute, and cloud-native Kubernetes environments.

Set engineering standards across the team by leading design reviews, improving reliability and developer experience, and mentoring engineers.

Act as a technical leader across silicon, backend, and design-automation teams, helping turn fragile manual flows into dependable automated systems used by many engineers.

We are looking for a senior alliances leader to build and scale strategic partnerships with global organizations, with an initial focus on Microsoft. This role combines business development, strategy, and delivery, and is key to driving growth through ecosystem partnerships.
Job description
Lead and execute the alliances strategy (initially Microsoft-focused)
Build and manage senior relationships within partner organizations
Develop joint go-to-market opportunities and drive pipeline generation
Collaborate with internal teams to integrate alliances into offerings
Lead commercial negotiations and track alliances performance.

Required Data Science Team Lead
About the Role:
The Data Science department plays a pivotal role in our company, generating value for us by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to extract maximum value from data of all shapes and sizes, including classification models, NLP, anomaly detection, graph theory, deep learning, and more.
Our models and algorithms are integrated into the critical path of our product, helping to make thousands of decisions per second in real-time. All the capabilities we develop must meet production-grade requirements in both analytical and engineering standards.
As the Team Lead of a Data Science team, you will manage critical analytical initiatives for our suite of products, shaping the team's direction and focus. You will collaborate closely with Product Managers to influence the future of our product offerings and ensure alignment with company goals. You will need a holistic view of our challenges and a keen understanding of the underlying goals of the department and company. In this role, you will lead the team, oversee their professional development, build effective collaborations with other departments, and bring measurable value to our product through your team's efforts.
What You'll Be Doing:
Lead and manage a team of 3-5 Data Scientists
Collaborate closely with the Dev, Product, and Analytics teams to implement and successfully integrate models and capabilities into production
Play a pivotal role in shaping the vision for the analytical capabilities of our core products
Constantly experiment with new ways to improve our product offering, including complex experimental design
Oversee the training of our strategic models
Lead the research and development of core product Machine Learning capabilities
Standardize processes and methods used within the team and group.

Required Product Manager (Policy Protect)
About the Role:
As the Product Manager for our Policy Protect solution, you will play a major role in our mission to detect and prevent eCommerce policy abuse. Policy Protect uses advanced machine learning to show merchants in real-time which orders, claims, and customers are trustworthy and profitable, and which ones arent.
In this role, youll collaborate closely with engineering and data science teams to build new machine learning models and maintain high accuracy of the existing models.
Youll focus on advancing the analytical capabilities of our product, ensuring the robustness and scalability of the analysis flow. By aligning strategic direction with our goals and working on strategic opportunities, youll ensure that the analytical performance of Policy Protect is top-notch. Youll balance technical constraints with business needs in the product roadmap, contributing to continuous improvement and growth.
What You'll Be Doing:
Collaborate with data science teams to build new and maintain high accuracy of the existing machine learning models for detecting refunds and returns abuse. Define and monitor KPIs to measure model performance and product effectiveness.
Ensure the robustness and scalability of the analysis flow by working closely with engineering teams to identify and address any gaps that could compromise analysis quality. Oversee the implementation of solutions that enhance the reliability of our analytical processes.
Push new sales opportunities forward by meeting with prospects, merchants, and potential partners. Understand their challenges, coordinate actions internally and evolve the product to solve pressing merchant needs.
Drive product development by prioritizing and managing the product backlog, ensuring we solve critical challenges related to policy abuse and deliver value to our merchants.

We are hiring a General Manager, Product Management to own and scale this domain end-to-end. This leader will be fully accountable for adapting our existing enterprise-grade solutions to the needs, unlocking scalable distribution channels, work with eCommerce platforms, and ecosystem partners, and driving meaningful product adoption and revenue growth.
This role combines product leadership, commercial ownership, and ecosystem strategy. You will operate as a domain GM, defining the strategy, tailoring the product experience, aligning cross-functional execution, and ensuring we build a scalable and profitable solution.
Being part of our team means working alongside smart and motivated colleagues who execute with urgency and high standards. We believe in end-to-end ownership, and in this role, you will have full accountability for turning the market segment into a growth engine for us.
What You'll Be Doing
Own the vision, strategy, and execution for our SMB domain
Define how our core products should evolve to serve small and medium-sized merchants effectively
Define success metrics and drive accountability for revenue growth, adoption, retention, and margin performance in the segment
Lead a team of strong Product Managers
Drive simplification of onboarding, integrations, pricing, packaging, and support models
Partner with Engineering and Data Science to optimize models and risk thresholds for SMB characteristics
Partner closely with Sales, Partnerships, and Marketing to enable effective SMB positioning and messaging.

We are looking for a Payroll Assistant to join our Finance Team under the Payroll manager.
As a Payroll Assistant, you will be involved in all daily payroll duties, including updating payroll records, preparing periodic reports, processing tax forms, etc.
What You'll Be Doing
Support the monthly payroll process
Collect and update data in the payroll system
Process and update new hires in the payroll system
Support employee terminations and maintain relevant documentation (form 161)
Manage and update pension funds data
Review and process attendance data
Prepare periodic and ad-hoc reports as required
Support the generation and distribution of all regulatory forms (101, 106)
Assist employees and managers with payroll-related inquiries.

We are looking for a Payroll Assistant to join our Finance Team under the Payroll manager.
As a Payroll Assistant, you will be involved in all daily payroll duties, including updating payroll records, preparing periodic reports, processing tax forms, etc.
What You'll Be Doing
Support the monthly payroll process
Collect and update data in the payroll system
Process and update new hires in the payroll system
Support employee terminations and maintain relevant documentation (form 161)
Manage and update pension funds data
Review and process attendance data
Prepare periodic and ad-hoc reports as required
Support the generation and distribution of all regulatory forms (101, 106)
Assist employees and managers with payroll-related inquiries.