לוח משרות דרושים הייטק

We are looking for a driven Business Development Representative to join our fast-growing Sales Development Unit! In this role, you will work closely with Marketing and Sales to help drive our solutions. You will develop new business opportunities through outbound prospecting, cold calling, email campaigns, and inbound lead follow-up.

As a Business Development Representative you will...
Internalize our mission, vision, and values.
Generate new business pipeline through outbound prospecting activities and inbound lead follow-up.
Maintain sales data through Salesforce that will influence monthly/quarterly sales reports, pipelines, forecasts, etc.
Research and evaluate prospects prior to engagement.
Establish active communication and engagement with prospects to create new leads and sales opportunities.
Collaborate with sales and marketing to build a sales strategy for generating new prospects.

We are looking for a hands-on Tech Lead to join the Core Platform team within our ML. Our engineering teams build the foundational systems behind global artifact storage, replication, and distribution - and increasingly power the next generation of AI/ML operations and governance. Our platform is the backbone for ML workloads: managing model binaries, versioning, and scalable runtime environments for ML and AI applications. This role combines deep distributed systems with modern ML infrastructure challenges such as high-throughput inference, safe model rollouts, and multi-cloud GPU efficiency. You will also help evolve core libraries and developer-facing tools, including logging, observability, and visibility components.

As a senior technical leader, you will influence architecture across squads, lead complex development efforts, and remain heavily hands-on.

As a Tech Lead in Core Platform you will
Design and evolve components for managing and distributing ML/AI models and artifacts at scale.
Extend the platform to support reliable, high-performance inference and training workflows.
Lead cross-team technical initiatives and serve as a reference for distributed systems and ML infra design.
Write maintainable, high-quality code in performance-critical areas.
Mentor engineers and drive strong engineering practices.
Collaborate with adjacent teams to ensure seamless end-to-end ML platform behavior.
Improve the reliability, efficiency, and observability of core services.