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Required Senior Backend Engineer - Founding Team
About the role
Own the real-time backend of an AI sales coaching platform that's live, growing 2 week-over-week, and one month into go-to-market. You'll be the second backend engineer in a team of five, working directly with the head of engineering and CEO - building the systems that decide whether the product works: live audio pipelines, LLM orchestration under millisecond budgets, and the engine that turns real sales calls into personalized AI training.
We just found go-to-market fit. Now the backend has to keep up with it. That's where you come in.
A word of honesty:
This is an early-stage role at a small startup in its hardest, most exciting phase, and we'd rather you know exactly what that means before you apply.
You will own large parts of the backend, and ownership here is literal: you'll design it, build it, ship it, and get woken up by it. When a customer's live call drops audio, you'll trace it through the WebSocket, the event loop, and the LLM pipeline yourself. Some of our hardest problems aren't exotic - they're the unglamorous ones every fast-moving team accumulates: a background job that fails without telling anyone, a coaching signal that lands a beat too late, a regression that a replay test should have caught. We know exactly where it hurts, and we're hiring the person who ends it - not the person who files a ticket about it.
If you spent the last few years at a company like Wix or Monday, you already know what excellent engineering looks like at scale - strong typing, clean async code, real observability. What you may not have had recently is the feeling that your work visibly moves the company every single week. Here it does. The trade is real: less process and certainty, far more impact and speed. If that trade excites you rather than worries you, keep reading.

Build, operate, and improve production infrastructure, with a focus on AWS, Kubernetes, and CDN and caching systems.
Troubleshoot complex infrastructure issues across Linux, networking, Kubernetes, and content delivery.
Automate infrastructure provisioning and configuration management to make deployments consistent and reliable.
Develop monitoring and alerting, investigate production incidents, and implement improvements that prevent recurrence.
Collaborate with development, support, and QA teams to improve infrastructure reliability and performance.
Propose and implement improvements that benefit our infrastructure, teams, and users.
Participate in the teams on-call rotation to resolve production incidents and restore service availability.

We're hiring the person who will own our R&D- engineering, QA, and applied AI research - as a founding-team hire.
That means all of it: what we build and how, the quality bar and how we enforce it, the AI architecture and the research that keeps it ahead, who we hire, and when we're ready to ship. You'll inherit all three functions, decide what they should look like at 3x, and build that.
You'll report directly to the founder and work alongside our Lead PM, who owns product direction and roadmap. You own how it gets built, how good it is, and how fast it moves.
A word of honesty:
This is a founding-team role at an early-stage company, which means it is hands-on. You will get into the code. You will run the QA passes yourself, on the things that matter most, even though QA isn't your only job. You will test a video session on a bad connection at 9pm because a launch depends on it. You will make calls with incomplete information and live with them. You'll lead R&D, but you'll lead by doing, not by directing. If you want a purely strategic seat with people beneath you to execute, this is the wrong role. The reverse is just as true: this is not a senior engineering job with a bigger title on it. You'll be managing people, hiring them, and answering for their work, and there's no technical leader above you to learn that from. If you haven't done it before, this isn't the place to start. If you want to own the hardest, most consequential technical problems in the company and see them through, read on.
What you'll own:
Reliability of realtime AI agents, audio and chat sessions on a user's old laptop and a sales rep's poor wifi, not just a developer's machine.
Turning a launch-phase codebase into one a growing team can work in safely.
The quality bar for everything that ships. We have a QA function today, not a QA department - part of this role is deciding what it should become, and how much of it is people versus automated test infrastructure. We don't have a fixed answer; you'll set it.
End-to-end quality of the booking-and-payments flow, including the failure paths most teams skip.
Security and privacy of sensitive sales conversation data - the controls that keep us defensible, and an independent security review you can run yourself.
The AI and agent architecture: what models, what orchestration, what runs on-device versus in the cloud, and how we stay ahead as the underlying models move.
Evaluation as a discipline - you own how we know whether the coaching is actually getting better. The evals, the benchmarks and the harnesses that tell us a change is real and not a vibe, on a product where the output is a judgment call rather than a right answer.
Turning research results into shipped product, not internal demos.
Hiring, structure and standards across all three functions.
A delivery cadence the company can plan around.

If you want to work where AI, developer tools and the entire our company platform meet, this team is for you. We're building how our company sites are extended with code in the age of Vibe Coding: an orchestration layer, an AI agent that writes code, and an IDE built into our company products.
You'll be a true xEngineer here, working on frontend, backend and AI agents. You'll own complex systems that touch almost every part of the company Developer Platform, and along the way you'll learn how our company works as a whole.
Build and evolve the Studio 2 Orchestrator - connecting Developer Platform components such as Remote Machine, Code Store, BaaS, our company CLI and Dev Center into one smooth development experience
Develop our company Code Codegen, an AI agent that generates production-ready code for our companys new generation editors - Studio 2 and Harmony
Build the IDE Platform, a reusable VS Code-based React component used in Studio, Velo and our company Vibe
Own features end to end across the stack, from React UIs to backend services and from architecture through production
Work with Developer Platform teams and core our company teams (Editors, Viewer, MetaSite and more) to design solutions that span systems
Help decide how the company Developer Platform should work in the world of Vibe Coding.

As a DevOps Engineer at our company, youll play a pivotal role in our cloud infrastructure group, driving the development, optimization, and maintenance of our cloud-based infrastructure. You will:
Design, implement, and maintain high-scale production cloud infrastructure solutions for availability, performance and resilience
Implement and maintain Infrastructure as Code (IaC) practices to ensure consistency and efficiency in deployment processes
Use your expertise in Linux and networking to enhance system performance, security, and reliability
Collaborate with cross-functional teams to understand business requirements and translate them into effective cloud solutions
Troubleshoot and resolve complex issues related to cloud infrastructure and services affecting millions of users.

Join FED Core as a hands-on technical leader shaping the development experience of engineers across our company.
Youll set technical direction, lead complex cross-company initiatives, and personally build the infrastructure and tools that help our company engineers develop, test, integrate, and deliver software faster. While our expertise is rooted in the frontend ecosystem, our impact spans our companys entire engineering organization and crosses TypeScript, Node.js, Scala, Java, and the systems connecting them.
In this role, you will:
Shape the technical vision and architecture for developer infrastructure used across our company
Identify friction and velocity killers throughout the development lifecycle, then turn them into simple, scalable solutions
Lead high-impact initiatives from early exploration and technical design through implementation, adoption, and production
Remain deeply hands-on, investigating problems, writing code, building prototypes, and improving existing systems
Create tools and workflows that connect development across repositories, services, pull requests, local environments, and production
Drive AI-native engineering practices by exploring new capabilities and turning them into practical, everyday developer experiences
Work across organizational and technological boundaries, bringing the right people together and moving complex initiatives forward
Influence engineering standards and practices through technical expertise, strong judgment, and demonstrated results
Collaborate closely with infrastructure teams, product engineering groups, and developers across our company to understand their needs and deliver meaningful improvements
Mentor engineers and raise the technical bar without formal people-management responsibilities.

As a Product Analyst, you'll play a key role in shaping and driving data-driven decisions for Base44. This high-impact, fast-paced role is focused on building a new product category, requiring a proactive problem-solver who thrives in a dynamic environment.
In your day-to-day, you will:
Lead end-to-end product analysis across the Base44 user journey- from onboarding and activation to feature adoption, retention, and app monetization
Own the data lifecycle from clarifying core product questions to ensuring data quality, user behavioral tracking, and delivering actionable product insights
Challenge the why and how of product features, driving data-informed decisions that shape the product roadmap
Deeply understand user behavior by identifying patterns, churn risks, and anomalies across different cohorts and user segments
Enable high-velocity decision-making by building trustworthy dashboards and self-serve reporting tools for Product Managers, Designers, and Leadership
Leverage state-of-the-art AI tools (including Claude, ChatGPT, and LLM-assisted workflows) to accelerate data processing, automate insights generation, and enhance product experimentation.

Required Senior Full Stack Developer
Tel Aviv District, Israel
Our mission is to make sure AI sharpens what makes a real estate company different, instead of erasing it. Come build it with us.
Our current tech arsenal includes: Go, AWS, Kubernetes, Jenkins, React Native (Expo), React.js, Temporal, SNS, Kinesis, S3, Snowflake, AWS Bedrock, and many more tools that help us build exceptional products.
About the role:
We are looking for developers who understand and believe in software engineering best practices (design, clean code, testing, code reviews, automation, etc) and who are also aware of bad practices and anti-patterns.

As a DevOps Engineer, youll drive, scale, and optimize our cloud environment, focusing on resilient infrastructure, cost optimization, and automation. You'll collaborate with Security, internal interfaces, vendors, and partners to develop solutions that align with business goals. If you're an infrastructure expert with strong coding skills and a passion for cost-efficiency and communication, this role is for you.
In your day-to-day, you will:
Design, implement, and maintain scalable, highly available cloud infrastructure with a focus on resilience, automation, and security
Analyze cloud expenditure, design cost-effective architectures, and drive FinOps strategies to optimize operational expenses
Develop tools, automations, and features driven by Security team requirements to ensure strong posture and compliance
Act as a key technical focal point when engaging with vendors, external partners, and internal engineering/product stakeholders
Implement and maintain Infrastructure as Code (IaC) practices to enable seamless deployment processes
Ensure full visibility into system health, performance, and operational metrics.

We are looking for an experienced Full Stack Team Lead to lead a team of talented engineers while remaining highly hands-on in designing, developing, and delivering scalable applications.
You will combine strong technical expertise with proven team leadership experience, taking ownership of technical decisions, guiding engineers, and driving engineering excellence.
We value developers who understand and believe in software engineering best practices (design, clean code, testing, code reviews, automation, etc.) and who are also aware of bad practices and anti-patterns.
What You'll Do:
Lead and mentor a team of Full Stack engineers, supporting their professional growth and technical development.
Remain hands-on, designing and developing scalable, high-quality applications.
Drive technical decisions, architecture, and engineering best practices.
Lead code reviews, promote clean code, and maintain high standards of software quality.
Collaborate closely with Product and other engineering teams to deliver impactful features and solutions.
Take ownership of technical execution and delivery, ensuring quality and efficiency.

We are looking for a hands-on Data Lead to build and own our data domain end-to-end.
This is a key role for someone who combines strong engineering capabilities, deep data passion, product thinking, and business understanding. We are looking for a builder who can independently create the data infrastructure, deliver reliable dashboards and insights, support product and business decision-making, and turn data into a strategic asset for the company.
This is not just a reporting or BI role. You will be responsible for building the data foundation that will support our next stage of growth- across infrastructure, product analytics, business insights, executive reporting, customer-facing analytics, and future AI-driven use cases.
What youll do:
Own our data domain end-to-end- from infrastructure and pipelines to dashboards, insights, and business impact.
Build and maintain scalable data pipelines across product, finance, GTM, customer, and operational data sources.
Design reliable data models and create a clear source of truth for key company metrics.
Build business and executive dashboards that help leadership understand the state of the business.
Analyze product usage, engagement, adoption, retention, feature performance, and customer value.
Support Product, R&D, Sales, Marketing, Customer Success, Finance, and leadership with meaningful data insights.
Translate business and product questions into clear data analysis and actionable recommendations.
Work closely with R&D, while being technically independent and able to build and deliver solutions without relying on engineering support for every step.
Define data standards, documentation, quality checks, metric definitions, and best practices.
Use modern AI tools to accelerate data development, analysis, documentation, automation, and insight generation.
Identify opportunities where our data can support smarter product experiences, automated insights, customer-facing analytics, and AI-supported decision-making.

Required Developer & Design Advocate
Be our voice in the design and dev community through content, demos, and the vibe coding movement.
About the role:
Our growth is powered by designers and developers who discover that image-to-Figma actually works. You'll turn that into a movement: publish sharp content and demos, grow our presence in the Figma community, run the blog, and champion the vibe designing workflow we're pioneering. You'll close the loop between community and product.

Required Full-Stack Engineer
Own the product surface end to end: the Figma plugin, the web app, and the serverless backend that ties them together.
About the role:
You'll build the product our users touch: a React and TypeScript Figma plugin, a Django web app, and an AWS serverless backend that streams AI results back over WebSockets in real time. You'll care about the entire path, from the drag-and-drop upload to the moment editable layers land on someone's canvas.

Required Research Engineer, Multimodal Systems
Build the training and inference backbone behind our image-to-design foundation model. 5+ years of engineering experience required.
About the role:
Great research dies without great engineering. You will be the person who makes big training runs fast and reproducible, turns a promising checkpoint into a sub-60-second product experience, and builds the data and eval infrastructure that lets our researchers move quickly. You'll work across the whole stack, from distributed training jobs to the low-latency inference path our Figma plugin calls in real time.
In this role you will:
Own the training infrastructure: multi-node GPU orchestration, data loading at scale, checkpointing, experiment tracking, and profiling.
Build the inference pipeline that serves our models to designers with the latency and reliability the product demands.
Engineer the data flywheel: ingestion, labeling, dedup, and eval sets that turn real usage into training signal.
Partner with research to prototype quickly and harden what works into production.