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We're now expanding our Technology team with engineers who can build the next generation of AI-driven products at the core of our platform.

Why Join Us? This is a chance to build at the intersection of fintech and applied AI, not as a side experiment, but as the direction of the product. You'll design and ship production-grade backend and FullStack systems that sit at the heart of a real, global investment platform, while being hands-on building AI agents that teams across the company actually depend on: architecting scalable microservices in Node.js, putting LLMs and agentic tooling to work, and owning features end to end from design through deployment.
Because real users and real capital flow through our platform, your work ships and matters from day one. You'll get real ownership over the features you build, hands-on exposure to how we adopt agentic AI, and a front-row seat to the startup and innovation ecosystem we live inside every day. If you want to master cutting-edge AI tooling while solving hard distributed systems problems alongside a small, sharp team - this is the place to do it.
This role requires 3 days a week in-office with the technology team based out of our Tel Aviv office. Fluent English and Hebrew required: English for direct communication with manager who is non Hebrew-speaking, and Hebrew for in person team discussions.
A strong sense of system design is a big plus for this particular team in the Technology department.
Responsibilities:

* Design, build, and ship production backend and FullStack features for OurCrowd's investment platform using Node.js and microservices
* Build and deploy AI agents and LLM-powered tools used in production across the company, from prototype to rollout
* Architect and maintain scalable microservices, integrating SQL and NoSQL data stores as needed
* Design agentic workflows and orchestration pipelines, using low-code tools (e.g. n8n, Make) alongside custom services where appropriate
* Own features end to end: design, estimation, implementation, testing, deployment, and monitoring
* Partner with product, data, and engineering teams to turn business and investor needs into technical solutions
* Evaluate emerging LLM frameworks and AI tooling to keep our stack current and production-ready
* Write clean, well-tested code and participate in code reviews to uphold team quality standards
* Troubleshoot issues across the stack, balancing delivery speed with the reliability a capital platform demands
* Help shape architecture, tooling, and best practices as the team scales its use of agentic AI
Interview Process:

* Recruiter phone call
* Take home assignment
* Technical in-person interview with 2 Team Leads
*  system Design focused virtual interview with team lead (English only)
* In-person interview with CTO
* In-person interview with HR
* References

We are hiring a hands-on AI expert to shape our intelligent platform, organizing complex real estate data into actionable insights and predictive models that power smarter investment decisions.

Responsibilities

AI/ML Architecture: Design and implement scalable AI systems using models such as
LLMs (e.g., OpenAI, Anthropic) and computer vision (e.g., YOLO, CLIP)
MCP Integration: Architect and orchestrate model context flows using MCP or similar
frameworks to deliver personalized, context-aware experiences
FinTech Platform Integration: Embed intelligent features into our backend and frontend
systems, ensuring seamless UX and robust performance
Hands-On Development: Write production-grade code across Python, TypeScript, and
Node.js. Own key modules and guide technical decisions
Team Leadership: Mentor a few developers, set engineering standards, and foster a
culture of experimentation and excellence
Data Strategy: Collaborate with product and data teams to define training datasets,
feedback loops, and model evaluation pipelines

We are looking to hire a Senior Product Manager, reporting to the CPO, to execute on the product roadmap and innovation. Youll take high-level direction, a market constraint, a we need to own this workflow end to end, and turn it into a specification precise enough to build against, then carry it from definition through deployment.

What youll do

Translate company roadmap into deliverable requirements (PRDs): user stories, states, edge cases, data contracts, acceptance criteria, success metrics
Work closely alongside software engineers to align on technical specifications, feature requests, and workflow optimizations
Own the full delivery cycle: discovery, definition, design partnership, sprint execution, QA, launch, adoption
Design for genuinely different personas with conflicting needs: underwriters and analysts who live in the product all day, deal flow partners who touch it a few times per deal, borrowers who see it once, and credit stakeholders who need to trust its output
Work directly with analysts and underwriters to understand the real workflow, including the parts that happen outside the system
Define where automation ends and human judgment begins, and make those checkpoints legible in the UI
Apply strong analytical skills to establish clear KPIs, ensuring product deliverables generate measurable business impact rather than just task completion.