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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 Product Designer
Design the product that designers use to design. Own the plugin, the web experience, and the brand.
About the role:
Our users are designers, the most demanding possible audience for a design tool. You'll own the experience end to end: the in-Figma plugin flow, the web app, onboarding, and the brand. You'll turn a powerful but complex AI pipeline into something that feels like one clean, magical click, and you'll set the visual language that makes us feel inevitable.

Required Head of Business Development
Own strategic partnerships, corporate development, and M&A from our US base, the commercial bridge between a Tel Aviv research team and the US market.
About the role:
As we turn frontier multimodal research into a category-defining product, we need someone to build the commercial and strategic scaffolding around it. Based in San Francisco or New York, close to the platforms, investors, and acquirers who matter, you'll own business development end to end: strategic partnerships, corporate development, fundraising support, and M&A. You'll be the connective tissue between our Tel Aviv research and engineering team and the US ecosystem, and you'll report directly to the founders.
In this role you will:
Source, structure, and close strategic partnerships with design platforms, AI providers, and channel partners.
Lead corporate development and M&A: build the target pipeline, run diligence, model deals, and drive them to close.
Own the strategic narrative with investors and support fundraising alongside the founders.
Build the commercial and financial models that inform where we place our bets.
Represent us in the US as the face of the company to partners, acquirers, and the ecosystem.

Required VP of B2B Sales
Build our enterprise go-to-market from the ground up and turn design teams and platforms into long-term customers.
About the role:
We have thousands of designers, developers, and agencies using us bottom-up. Now we need a leader to turn that pull into enterprise revenue. You will own B2B from strategy to close: define our ideal customer across design teams, agencies, and platform partners; build the pipeline; and land the first wave of company-wide deals. This is a hands-on, player-coach role. You'll carry a number before you build the team that scales it.
In this role you will:
Define and own the B2B sales strategy, pricing motion, and revenue targets.
Personally source, negotiate, and close early enterprise and platform deals.
Build the go-to-market engine: outbound, partnerships, and a self-serve to enterprise expansion path.
Hire and lead the first account executives and solutions team.
Bring the voice of the customer back into product and research.

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.

Required PhD Multimodality Researcher
Own the design, pretraining, and post-training of our multimodal foundation model for graphic design on multi-node GPU clusters.
About the role:
Graphic design is one of the last frontiers of multimodal AI that no single model has cracked end to end. It demands perception (what elements are on this canvas?), grounding (what is their type, hierarchy, and geometry?), reasoning about a latent design system (fonts, spacing, color, intent), and structured generation (emit an editable file, not a picture). Today we solve this by orchestrating specialized detection, inpainting, and code-generation models. You will lead the research to collapse that pipeline into a single multimodal foundation model for graphic design, and take it from a whiteboard to a training run to production.
In this role you will:
Design the model architecture, data strategy, and training recipe for a multimodal model that maps images to editable, structured design representations.
Run large-scale pretraining and post-training on multi-node GPU clusters, owning distributed training, sharding, checkpointing, throughput, and stability across nodes.
Build the post-training stack: supervised fine-tuning, preference optimization (RLHF and DPO style), and reward modeling grounded in real designer feedback.
Define rigorous evals for perception, structure recovery, and editability, and hold the model to them.
Ship. Your research reaches designers through the product, and their usage becomes your next training signal.

We're looking for an Experienced AI Product Marketing Manager someone who lives and breathes AI and wants to channel that into marketing. Think of this as the growth hacker of 2026, you're AI-native first, marketer second. AI tools are your default way of working, You build with Claude Code or OpenClaw instead of spreadsheets and slide decks. If you've ever built an AI agent for fun, automated a workflow because you were bored, or shipped a side project using vibe coding - and you're excited about applying that energy to marketing - this role is for you.
In your day-to-day, you will:
Own marketing projects end-to-end - from strategy to execution - using AI as your primary working environment, not just an assistant
Create campaigns, landing pages, product content, and customer stories at a speed and volume that would be impossible without AI fluency
Build your own tools, automations, and AI workflows to solve marketing problems
Run growth experiments across channels, rapidly testing messaging, creatives, and audiences to find what drives sign-ups and engagement
Lead product launches alongside Product and Growth teams - shaping positioning, messaging, and go-to-market plans
Stay on the bleeding edge of AI capabilities, constantly scouting new models and tools and figuring out how to apply them to marketing before anyone else does.

As a backend engineer at Premium billing platform, you'll play a key role in designing and building scalable backend services for our subscriptions, billing, and payment systems. You'll work on cutting-edge technologies to create resilient, API-first platforms and collaborate closely with cross-functional teams to deliver robust solutions. In your day-to-day, you will:
Design and build backend services for subscriptions, billing, checkout, and payment execution at scale
Develop API-first domain models for subscriptions, orders, invoices, payment intents, and payment methods
Create resilient distributed flows using asynchronous processing, idempotency, retries, and failure-recovery mechanisms
Design systems that work across multiple payment providers while maintaining platform agnosticism
Improve production reliability and observability using metrics, logs, traces, and data-driven insights
Collaborate with Product, Payments, Data, Finance, and other teams to deliver end-to-end solutions.