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What You'll Do
- Build and evolve the Workflow Builder, Tables, and App Maker UIs - visual, drag-and-drop, real-time, collaborative.
- Design and ship the Gini AI Worker dashboards - run visualization, step traces, approvals, cost tracking.
- Own performance - sub-second interactions, optimistic updates, virtualized lists, edge-first rendering.
- Partner tightly with design + product on component systems, accessibility, and motion.
- Contribute to our design system - reusable, themable, keyboard-first.

What You'll Do
- Design and ship the ML backbone of Gini AI Workers - routing, tool selection, reasoning, memory, evaluation.
- Build evaluation and feedback loops - offline evals, online A/B, regression harnesses, human-in-the-loop labeling pipelines.
- Optimize cost and latency across the agent stack: prompt engineering, model routing (frontier ↔ small ↔ fine-tuned), caching, speculative decoding, distillation.
- Fine-tune and/or RAG-tune models for vertical enterprise tasks (invoice extraction, PO matching, ticket triage, forecasting).
- Own the ML infra - training pipelines, experiment tracking, model registry, deployment, monitoring, drift detection.
- Partner with backend + product to turn research into shipped features on a weekly cadence.

What You'll Do
- Own end-to-end solution design for enterprise deals - from first discovery call to signed SOW to production handoff.
- Lead technical discovery with CIOs, CTOs, and IT leads. Map their current stack (Priority / SAP / NetSuite / Salesforce / custom) and design the company blueprint.
- Architect multi-system integrations - ERP ↔ CRM ↔ e-commerce ↔ shipping ↔ AI Workers - using our company's MCP-native connector framework.
- Run live technical demos and POCs that prove value in days, not months.
- Partner with Sales on pricing, scoping, and risk assessment; be the "technical closer" on 6-7 figure deals.
- Partner with Product - bring real-world field signals back and influence the roadmap.
- Mentor the Professional Services team on architectural patterns and reusable process blueprints.

As an AI Algorithm Engineer at our company, youll design and implement advanced algorithmic workflows that power our data digestion pipelines and conversational AI agent experience. You will:
Architect and build workflows that turn raw, unstructured data (e.g., PDF documents and ultra high-resolution architectural drawings) into meaningful, structured context for downstream analysis.
Combine techniques from classical NLP, computer vision, unsupervised learning, and graph theory to build robust end-to-end pipelines - not just standard LLM API calls, but intelligent decomposition, structuring, and context engineering.
Develop AI agent workflows that let customers explore, query, and reason about their data naturally and reliably.
Build strong evaluation infrastructure to benchmark and continuously improve both classical algorithmic components and LLM-based workflows.
Work primarily in Python, and collaborate across systems and services in TypeScript when needed.
Move fast from prototype to production, while maintaining correctness, scalability, and measurable quality.

Required Full Stack Developer
Full-time
Company Description:
A dynamic technology firm dedicated to building exceptional products using modern technologies for the world's most admired companies. We pride ourselves on innovation, collaboration, and delivering excellence in every project.
Job Description:
Design and develop web applications from concept to deployment.
Collaborate with UX/UI designers and backend developers to create a cohesive product.
Manage databases and optimize server-side logic for performance.
Implement and maintain APIs for frontend-backend integration.
Troubleshoot and debug issues across the application stack.

We are hiring Deployment Strategists - Strategic Builders who are customer-facing advisors, who define AI strategy, shape agentic solutions, and drive measurable adoption for enterprise customers. You'll work as part of a delivery team alongside Forward Deployed Engineers, translating complex business challenges into agentic AI deployments that go live and generate real value. Engagements are focused and time-bound - typically 12 weeks or less - and may span a single strategic account or multiple customers simultaneously. Your impact isn't just getting to deployment. It ensures customers realise lasting, scalable value from the solutions your team builds.

Key Responsibilities

Full Lifecycle Ownership: Lead end-to-end customer engagement across the complete value lifecycle - Identify → Commit → Deploy → Consume - owning outcomes at every stage, not just discovery or deal closure

AI Strategy & Architecture: Define the customer's Agentic AI strategy and roadmap. Lead design workshops, agent design sessions, and jobs-to-be-done analysis. Architect solutions spanning Salesforce's agentic AI platform, Data Cloud, and enterprise systems, with responsible AI governance baked in from the start.

Deployment Oversight & Program Management: Manage engagement delivery end-to-end timelines, stakeholder communication, risk escalation, and progress reporting. You are the operational backbone of your delivery team, ensuring nothing falls through the cracks.

Adoption & Consumption: Own adoption, consumption, and expansion metrics within your engagement scope. Identify blockers early and develop strategies to drive measurable value realization

Delivery Team Coordination: Partner closely with the Forward Deployed Engineers on your team to align strategy with technical execution. Keep the team focused, unblocked, and on track to hit delivery milestones.

AI-Supported Development: You'll be developing real customer solutions supported by leading-edge AI tools: Including

Cursor, Claude, and our coding products like Vibes, to accelerate development.

Customer Stakeholder Management: Serve as the primary customer-facing contact, building trust-based relationships with senior stakeholders and present proposals, decisions and outcomes in terms of business value, not just technical detail.

AI Readiness: Assess customer readiness for AI adoption and guide change management and process transformation to maximise the benefits of intelligent agents.

Product Feedback Loop: Synthesise field insights and translate them into actionable product feedback that influences Salesforce's Agentic AI platform roadmap.

We are hiring Senior Forward Deployed Engineers - the Technical Builders, responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You'll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale. Partnering closely with a Deployment Strategist (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption), you'll own outcomes end-to-end, from architecture decision to production. Your passion for well-crafted software that solves real problems will be supported by best-in-class AI tools and a team of talented builders around you.

The Senior Builder Experience

Technical Ownership: Partner with a Deployment Strategist to own customer outcomes end-to-end. You're the senior technical authority in the room, ensuring deliverables meet the highest engineering standards, whether it was generated by an AI tool by a colleague or written by you directly.

AI-Supported Engineering: Cursor, Claude, and Salesforce coding products like Vibes are embedded in your daily workflow. The conventions and patterns you develop tend to propagate through the team because other Builders look to your work as reference.

Roadmap Influence: Your field experience routes directly to Product and Engineering. The gaps you hit and the edge cases you encounter in real life customer environments become the features they ship. Senior Forward Deployed Engineers are the most credible voice in agentic AIproduct evolution.

Continuous Innovation: You're expected to stay at the forefront - piloting emerging AI tools, experimenting with new models and frameworks, and sharing what you learn with your team and customers.

Were looking for our first Forward Deployed Engineer (FDE) to join our company and help build this function from the ground up.
This is a highly technical, hands-on, and customer-facing role. Youll be based in Israel, working closely with our Product and Engineering teams, while traveling regularly across the U.S. to work on-site with our enterprise customers.
Youll work directly with customers to understand their business processes, technical environments, and operational challenges, and translate them into AI-powered solutions. Youll own projects end-to-end - from discovery and requirements gathering through technical design, development, deployment, adoption, and continuous improvement.
As our first FDE, youll have a unique opportunity to define how our company works with customers from a technical perspective, build the processes and best practices for this function, and play a key role in how we scale customer delivery.
Were looking for a strong engineer with a product mindset who enjoys navigating ambiguity, working directly with customers, and turning complex business problems into scalable technical solutions.
our Values
Ownership - We take responsibility and move decisively.
Clarity - We simplify complexity to deliver meaningful impact.
Accuracy - Precision matters in everything we do.
Velocity - We move fast and execute with purpose.
Partnership - We succeed by working closely together.
What Youll Do
Partner directly with enterprise customers, both remotely and on-site across the U.S., to deeply understand their business processes, technical architecture, data flows, and operational challenges.
Lead technical discovery sessions, gather business and product requirements, and translate complex customer needs into scalable AI-powered solutions.
Design, build, configure, and deploy production-ready AI agents, integrations, and workflows that operate reliably within customer environments.
Work hands-on with APIs, enterprise systems, structured and unstructured data, and customer infrastructure to deliver end-to-end solutions.
Own customer engagements from technical discovery through implementation, deployment, adoption, and continuous optimization.
Validate solutions using real customer data, troubleshoot technical challenges, and continuously improve system performance and business outcomes.
Drive measurable business impact by identifying new use cases, increasing platform adoption, and helping drive growth and expansion within customer accounts.
Work closely with Product and Engineering in Israel to influence product direction based on customer feedback, implementation learnings, and real-world use cases.
Act as the technical owner throughout the customer engagement, building trusted relationships with both technical and business stakeholders.
Create reusable implementation playbooks, tools, and best practices that help scale the FDE function as our company grows.

Were looking for a Partner Solutions Engineer to join us and spread the power. In this role, you will be part of the sales team responsible for supporting our Global Channel Resellers/Partners. You will work closely with partner account teams and our strategic partners to develop and execute joint technical strategies and solutions.
Responsibilities:
Partner with sales teams and channel partners to deliver and scale technical solutions that drive customer success and business growth.
Deliver world-class demonstrations, technical training, and presentations to our partners, including whiteboard sessions, product demonstrations, workshops, and proof of value engagements.
Invest time in learning new product features, industry-related developments, and broadening your overall technical skill set.
Represent us in technical forums, such as trade shows, technical meetups, and industry events.
Help our customers and prospective customers plan in depth test plans for showing the value of the platform in their environment.

As a Technical Support Engineer, youll be the one making sure that all existing customers issues are properly and thoroughly handled by the various relevant stakeholders.

You will be working at a fast-paced startup, servicing global enterprise clients worldwide and enjoying a diverse, dynamic culture, building next generation cyber security technology.

Responsibilities

- Lead investigation and resolution of complex technical issues, performing deep root cause analysis across application, network, security, and platform layers.

- Use logs, APIs, telemetry, and AI-powered tools to troubleshoot product behavior and accelerate issue resolution.

- Partner closely with R&D and Product teams to reproduce issues, validate fixes, document defects, and improve product quality.

- Own critical customer escalations, driving communication, coordination, and timely resolution.

- Participate in customer meetings to provide technical guidance, explain findings, and support resolution plans.

- Act as a technical focal point for customers and internal teams on product, integration, and security-related topics.

- Identify recurring issues and recommend improvements to product functionality, support processes, and automation.

- Create and maintain knowledge base articles, troubleshooting guides, and technical documentation.

- Support onboarding, training sessions, and knowledge sharing across teams.

We are looking for a Backend Engineer with deep data engineering expertise to build and evolve the systems that power product, analytics, experimentation, and AI development.
You will work across production backend services and data infrastructure, taking technical ownership of the full data lifecycle - from event ingestion and real-time processing to orchestration, modeling, quality, and reliable data access. This role combines hands-on backend development with ownership of shared data platform, working closely with backend, frontend, AI, DevOps, analytics, and product teams.
Key Responsibilities:
Build and maintain production-grade Python and Java backend services, APIs, and reactive data-processing pipelines with clear interfaces, resilient failure handling, and comprehensive observability.
Own and evolve batch and streaming data pipelines supporting product analytics, learner insights, experimentation, and AI model training.
Design and maintain trusted data models, shared metrics, and semantic-layer business logic across the analytical data platform.
Define and enforce standards for data contracts, testing, lineage, freshness, and observability.
Develop reliable approaches to schema evolution, backfills, replay, workload distribution, and failure recovery.
Collaborate with DevOps, backend, frontend, AI, analytics, and product teams to deliver reusable data capabilities and maintain clear system boundaries.

We are seeking a skilled Automation Developer to join our team. As a Automation Developer, you will write and execute the automated tests and write the processes. You will collaborate with cross-functional teams to design, develop, and maintain automated test scripts, identify and report defects, and contribute to the overall improvement of our software development lifecycle.
Responsibilities:
Design, develop, and maintain automated systems for infrastructure deployment and management.
Build tools and frameworks that automate workflows across different environments.
Collaborate with development, DevOps, and QA teams to identify automation opportunities.
Write clean, scalable automation scripts using TypeScript.
Ensure system reliability, performance, and security through effective automation practices.
Monitor and improve the efficiency of automation systems continuously.
Participate in code reviews, architecture discussions, and contribute to technical documentation.
Troubleshoot and resolve infrastructure automation issues.

We're looking for a Support Lead to build our company's customer support function from the ground up, working on site in Tel Aviv offices.
You'll be the founding member of our support organization, designing the processes, tooling, and team that will sit between our enterprise customers and our Product and Engineering teams. You'll report to the VP Product Growth and work closely with Product and Engineering to ensure issues are resolved fast, with full ownership, and with as little engineering drag as possible.
This is a rare opportunity to define what great support looks like at an AI-first company serving some of the world's largest enterprises, and to build it your way.
What you'll do
Build the support function from scratch: processes, workflows, escalation paths, SLAs, tooling, and internal playbooks.
Lead day-to-day support operations for global enterprise customers, owning prioritization, escalations, and customer communication.
Hire and grow a team of Support Engineers who are technical enough to investigate issues independently, reducing reliance on Engineering for first and second-line resolution.
Design an AI-first support model: leverage AI tooling for log analysis, issue investigation, and knowledge retrieval to help the team punch above its weight across a fast-growing set of diverse customer solutions.
Build and maintain a living knowledge base that enables support engineers to ramp quickly on new solutions and handle complex issues without deep product expertise from day one.
Partner with Product and Engineering to surface recurring issues, drive root cause fixes, and close the loop between customer feedback and product improvement.

As a Forward Deployed Engineer at our company, you'll work at the intersection of Engineering, Product, and our customers. You'll use your engineering experience to help enterprise customers deploy AI systems into production, solve complex technical challenges, and deliver solutions with real business impact.
What youll do:
Work directly with enterprise customers to understand their business and technical challenges.
Translate open-ended problems into practical AI solutions.
Build production-grade integrations, workflows, and automations across customer systems, APIs, and data sources.
Build and ship customer-facing solutions, not just prototypes or technical designs
Deploy, test, and iterate in real customer environments.
Own customer implementations from discovery through production.
Partner closely with Product and Engineering to improve the platform.
Design and implement LLM-powered workflows and agentic systems for real enterprise use cases.

We're looking for an Infrastructure Engineer with a strong backend engineering mindset - someone who treats infrastructure as software.
In this role, you won't just operate infrastructure - you'll design systems, write code, and build controllers and automation that power our Kubernetes-native platform.
You'll work closely with platform, DevOps, and backend teams to create scalable, reliable infrastructure abstractions used by hundreds of developers.
What Youll Do:
Design and build backend-driven infrastructure workflows using Kubernetes controllers and declarative patterns.
Develop automation and tooling in Go or Python to manage infrastructure at scale.
Manage AWS resources through Kubernetes-native approaches (ACK or similar controller models).
Develop internal APIs, scripts, or services that improve developer workflows and platform capabilities.
Operate and evolve multi-cluster Kubernetes environments with a focus on automation and reliability.
Implement observability patterns and integrate monitoring signals into infrastructure logic.
Collaborate with backend engineers to design infrastructure that behaves like software - versioned, testable, and automated.