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We're seeking a Staff engineer - AI Builder to lead the design and implementation of AI-native technical frameworks that redefine how large-scale systems are built, extended, and evolved.

This role is deeply technical and architecture-driven, focused on designing modular, extensible, and AI-first system foundations that enable scalable development with AI as a core engineering collaborator.

You will work across the full stack, building infrastructure where AI actively generates, extends, and maintains software components as part of the native development flow.

This is not about incremental AI integration - this is about architecting the frameworks that let AI scale software engineering 10x faster and smarter.

Responsibilities
Architect and lead the development of AI-native system frameworks that emphasize modularity, extensibility, and adaptive scalability.
Build platform primitives that enable dynamic AI-driven module and extension generation.
Design and implement developer workflows optimized for AI-assisted software development, embedding AI collaboration as a first-class design principle.
Define and codify AI-native engineering practices, patterns, and guidelines to elevate our software development lifecycle.
Establish and champion best practices for AI-assisted engineering across system design, code quality, testing, observability, and operational scalability.
Drive hands-on prototyping and iterative delivery across frontend, backend, and orchestration layers.
Provide technical leadership and mentorship, fostering an AI-first engineering culture across teams.
Partner closely with Product, AI, and Engineering teams to align system evolution with AI-native goals.

Required Sales Development Representative - Tel Aviv
Description
A leading SaaS and FinTech platform transforming how real estate investment firms manage their capital, investors, and operations. Trusted by 700+ GPs, owners/operators, and investment firms globally, we help teams streamline the full lifecycle of investment management-from fundraising and onboarding to reporting, distributions, tax, and back-office automation.
But were more than just software. Were a team of bold thinkers, innovators, and real estate enthusiasts who believe complex processes should feel simple. Our platform combines modern technology with expert services, helping our customers raise more capital, deliver a better investor experience, and scale their businesses smarter.
We are backed by top-tier VCs like Insight Partners and Qumra Capital, and were growing fast. Weve been named one of Globes Most Promising Startups, recognized as a Best Start-Up Companies to Work For by Duns 100, and one of Business Insiders Hottest PropTech Startups.
About the role:
As a Sales Development Representative, you'll be on the front line of prospect outreach with the goal of generating qualified opportunities for our sales team. In this role, you will develop and own the "top-of-funnel" through outbound prospecting (cold calling, emailing, and social channels). You will be expected to quickly and effectively communicate our value proposition, respond to objections, and speak confidently to industry trends.
This role is essential to our team's aggressive growth targets. Success will require a growth mindset, resilience, adaptability, and a commitment to finding creative solutions.
What your day would look like:
Prospecting Expertise: Dive into the strategic identification and enrichment of a prospect list tailored to our Ideal Customer Profile (ICP), ensuring a pipeline of qualified leads ready for engagement.
Dynamic Multi-Channel Outreach: Engage with prospects through a seamless blend of phone, email, and LinkedIn interactions. Your mission is to spark interest, build relationships, and set the stage for meaningful conversations.
Collaborative Partnership: Join forces with our sales team in meetings you've scheduled, playing a critical role in facilitating discussions and moving prospects through the sales funnel.
Skill Enhancement: Participate in ongoing training and coaching sessions, embracing opportunities to refine your techniques and strategies in sales development, ensuring peak performance and continuous growth in your role.
SDR Tel Aviv Working Hours:
During onboarding: 5 days/week in office (Sun 10-7pm, M-Th 12-9pm)
Post onboarding: Sun (10-7pm) from home, M-Th (12-9pm) in office.

Were looking for a AI First - Senior Fullstack Engineering who will be a force multiplier on the Growth/Experts team - a high-output, impact-driven builder who leverages every tool at their disposal (including AI) to move at extraordinary speed.

This person doesn't wait for a perfectly scoped spec - they understand the business problem, shape the solution, and build it end-to-end. They own complex challenges across backend and frontend, ship fast, unblock teammates, and raise the bar for what one engineer can accomplish.

AI tools are a natural part of how they work, making them dramatically more effective - not a separate initiative, just how they operate.

As a Senior Fullstack Engineer, Youll:
Build from problem to production - take a business need or user pain point, understand the "why," design the approach, and ship a working solution - even without a full design spec or detailed product requirements.
Ship at 10X pace - deliver complex, end-to-end features across backend and frontend at a speed that surprises people, by leveraging AI and smart shortcuts without cutting corners on quality.
Own big problems - take ambiguous, cross-cutting challenges and turn them into working solutions with minimal hand-holding.
Multiply the team - unblock teammates, share knowledge, raise quality through code reviews, and make everyone around them better.Build with impact - prioritize work that moves the needle for users and the business, not just what's technically interesting.
Continuous Improvement - proactively identify bottlenecks, tech debt, or inefficiencies and fix them without waiting to be asked.

As a Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects-ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.

Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.


Key Job Responsibilities and Duties:

Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.

Dealing with massive textual sources to train GenAI foundation models.

Solving issues with data and data pipelines, prioritizing based on customer impact.

End-to-end ownership of data quality in our core datasets and data pipelines.

Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.

Providing tools that improve Data Quality company-wide, specifically for ML scientists.

Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.

Acting as an intermediary for problems, with both technical and non-technical audiences.

Promote and drive impactful and innovative engineering solutions

Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

As a Senior Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects-ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.

Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.



Key Job Responsibilities and Duties:

Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.

Dealing with massive textual sources to train GenAI foundation models.

Solving issues with data and data pipelines, prioritizing based on customer impact.

End-to-end ownership of data quality in our core datasets and data pipelines.

Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.

Providing tools that improve Data Quality company-wide, specifically for ML scientists.

Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.

Acting as an intermediary for problems, with both technical and non-technical audiences.

Promote and drive impactful and innovative engineering solutions

Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

As a Machine Learning Engineering Manager, you will lead a team focused on the foundational ML & Data layers to power the ranking & recommendation systems in scope. You will drive the development of robust data & ML pipelines at scale, lead the implementation of the tools for ML scientists to test and productionize advanced ML RecSys solutions.

As a technical manager of Machine Learning Engineers and Data engineers, you should be passionate about technology, keep up to date with recent breakthroughs in the field, define and shape the teams ML and platforms roadmap, and not be afraid to get your hands dirty with code when needed.

You are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products. You will work independently and will also be responsible for making technical decisions within your team.

When it comes to management, your expertise in handling people will motivate and inspire them to reach outstanding success! You should have experience in developing people. You will mentor and coach your team while working closely with a Product Manager.



Key Job Responsibilities and Duties:

Lead and develop a high-performing team, fostering individual growth and collaboration.

Manage and mentor ML engineers and Data engineers, ensuring their professional development and effectiveness.

Develop scalable ML infrastructure and pipelines for efficient data processing and evaluations deployment.

Evaluate architecture solutions based on cost, business needs, and emerging technologies.

Collaborate closely with software engineers to ensure seamless deployment and model inference.

Monitor application health, set and track relevant metrics, and implement effective maintenance strategies.

Collaborate with stakeholders to translate business requirements into viable ML solutions.

Evaluate and integrate new ML technologies to enhance productivity and performance.

As a Machine Learning Scientist II, you will work within a cross-functional team of engineers and product managers to develop, evaluate, and deploy GenAI-powered solutions for scalable, customer-facing applications. Your work will focus on implementing agentic capabilities, contributing to evaluation frameworks, and delivering measurable business impact through data-driven experimentation.


Key Job Responsibilities and Duties:

Contribute to the design and development of end-to-end agentic systems, ensuring code quality and efficiency in production.

Build agentic solutions for different tasks and use cases using state-of-the-art techniques

Develop and carry out evaluation strategies, including formulating new metrics and building evaluation judges

Adhere to and promote established best practices in GenAI application development within the team.

Collaborate actively with team members, participating in code reviews, sharing knowledge, and contributing to a positive team environment.

Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into ML solutions.

Conduct deep data analysis to evaluate model performance, label quality, features exploration.

Work closely with ML engineers to ensure and improve the solutions latency/throughput meets product requirements and ensure deployment of your model to production.

As a Senior Machine Learning Engineer, you will work closely with top notch engineers and data scientists to design, develop, evaluate and deploy Gen AI-powered solutions for scalable, customer-facing applications. Your work will focus on building and applying state-of-the-art agentic capabilities to drive business impact and improve efficiency.



Key Job Responsibilities and Duties:

Design, develop, and deploy high-quality, performant, and efficient Generative AI-powered solutions and agentic systems into production environments.

Evaluate and define optimal architectural solutions by considering emerging technologies, business needs, and technical requirements for latency, throughput, and scale.

Own services end-to-end, including implementing robust monitoring and maintenance strategies to ensure application and ML health, quality, and performance.

Write and maintain clean, scalable, and well-tested production code, ensuring reproducibility and seamless integration via CI/CD pipelines.

Pioneer and promote best practices and the adoption of cutting-edge technology in GenAI application development.

Collaborate effectively with Product Managers, Data Scientists, and Analysts to understand business requirements and translate them into technical ML and agentic solutions.

Provide technical guidance and mentorship to other engineers, contributing to the team's overall technical development.

Were seeking a self-motivated Data Analyst with a strong sense of ownership and outstanding communication skills. As a key team member, you will play a crucial role in analyzing and deriving insights from product and marketing data to drive strategic decision-making. You will collaborate with various teams across the organization to optimize business processes, create and maintain BI reports and dashboards, and contribute to the companys data-driven culture.

You'll work directly with senior, data-driven stakeholders across the company, including executives outside Israel. Expectations are high, feedback is direct, and the work is visible. In return, you get real ownership, real impact, and the kind of proximity to business decisions that most analyst roles don't offer.


How Youll Spend Your Time
Surface actionable insights by identifying business trends, performance drivers, and anomalies across product, marketing, and financial data
Analyze large, complex datasets to answer strategic business questions and directly support decision-making across the organization
Define, track, and improve the KPIs that measure business and operational performance, ensuring stakeholders trust the numbers
Translate data into compelling visualizations and narratives that communicate key metrics, trends, and recommendations to business stakeholders
Drive product decisions through analytics and experimentation. Design and analyze A/B tests, measure feature adoption and funnel performance, and translate user behavior into insights that shape the roadmap
Build and maintain the data warehouse infrastructure, ETL pipelines, table structures, and schema design that powers reliable, timely analytics
Act as a subject-matter expert in analytics and BI tools, guiding stakeholders and team members toward better data-driven decisions
Own financial and transactional reconciliation. Validate revenue and performance metrics against partner-reported data at cent-level precision
Use AI tools effectively as a core part of the workflow, while maintaining a deep understanding of the data and code underneath

we are growing and looking to add a Mobile Developer to our team!

We are looking for an experienced developer to join our amazing Professional Services Team.
Be a tech lead, mentor and take part in developing our infrastructure and architecture
Take a major part in creating customer solutions, architecture and development of various
integration services
Work closely with healthcare organizations, implementing and delivering projects that enables
them to use our innovative product
Comfortable in a customer facing role
Design, Develop and integrate quality code for our professional services team

Responsibilities:
Respond to customer support inquiries as quickly and accurately as possible via email and phone [1st level support]
Taking every customer interaction and turning it into an opportunity to learn from our customers
Working collaboratively with product, customer success, development and other departments
Advocating for customers needs and contributing to our growing knowledge base of articles and educational materials

We are looking for a highly talented Postgraduate Engineer - MSc/PhD to join our Autonomous Systems team and lead the development of a foundation model that will serve as the backbone of our autonomous robot.

Responsibilities:

Process large-scale, multi-modal data from diverse sources.
Design, develop, and build Foundation Models to support perception for autonomous agents.
Build data pipelines, training frameworks, and evaluation methodologies.

We're looking for an experienced and accomplished engineering leader to join us in our mission to scale while upholding the quality and craft our users love. You'll partner closely with Product, Design, Data, Marketing, and GTM to chart the course for these features and leverage them to help Figma further deepen its engagement with designers.

This is a full time hybrid role based out of our Tel Aviv, Israel office.

What you'll do at Figma Weave:
Partner with Product and Design to build and execute on a long-term roadmap
Work closely with cross-functional partners and other engineering teams to expand what's possible with the application of AI to creative problems
Hire, manage, support and develop a team of engineers, including staff level engineers
Establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization
Contribute to and help shape the growth of the Weave engineering organization as it scales
Play an active role in building an inclusive team culture through hiring practices, mentorship, and cross-team community programs

Were looking for experienced full-stack engineers to join the Figma Weave team. Whether you're enabling real-time collaboration for thousands of designers, building systems that make design tools robust, performant, and scalable, creating new ways for teams to design and share ideas seamlessly, or powering the features that drive product growth, your work will directly impact the experiences of our users - from startups to Fortune 500 companies.

Youll contribute to our core mission by designing and scaling reliable, secure, and intuitive systems across Figma Weave. Our teams are highly collaborative, work cross-functionally, and focus on building features that support our rapid growth, global expansion, and evolving product surface area.

What youll do at Figma Weave:
Design, build, test, and ship high-quality features across the stack, using technologies like TypeScript, React, Ruby, Go, and more
Own key parts of the product that impact user experience, internal productivity, or revenue operations
Collaborate with cross-functional partners in product, design, data science, support, and sales to shape product direction and solve complex problems
Operate and monitor the systems you build, with a strong focus on reliability, security, performance, and user experience
Contribute to team culture by mentoring peers, providing feedback, and helping foster a collaborative and inclusive engineering environment