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As an AI Algorithm Engineer , 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.

Were looking for our first Forward Deployed Engineer (FDE) to join 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 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.

we are looking for a Senior Full Stack Tech Lead Engineer.
Build & Design
Develop end-to-end product features using a modern stack: Node.js (TypeScript), Angular, Python, LangGraph, Postgres, and AWS CDK. As a Tech Lead here, you wont just integrate AI models - youll help create the AI agents, tools, and capabilities themselves. Youll work on the most impactful AI capabilities, whether for smarter features, better workflows, or more personalized usage. Were always building whats next, not whats already crowded. Youll own solutions from database to UI, shipping real value, not just tickets.
Architect the Future
Take part in high-level architectural decisions, technical research, and design. Youll help shape scalable, robust, and forward-thinking systems that can grow with our customers and our product vision.
Collaborate with Purpose
Work directly with customers, stakeholders, and internal teams to build a seamless, intelligent platform experience. Youll translate real needs into elegant, reliable software that makes a tangible impact.
Lead & Mentor
Lead and mentor engineers while cultivating a culture of excellence and knowledge-sharing. Youll raise the bar on engineering standards through code reviews, design sessions, and hands-on collaboration.
Optimize & Innovate
Continuously improve platform performance, scalability, and maintainability, while staying ahead of industry trends. Bring fresh ideas into the product and drive innovation that moves the company forward.

we are looking for a CRE Solutions Engineer.
As a CRE Solutions Engineer, youll work at the intersection of Sales, Customer Success, Product, and the commercial real estate industry.
Youll bring deep business and industry knowledge into customer conversations, helping us understand how enterprise real estate organizations operate, uncover their most important pain points, and demonstrate how can solve them.
This is a highly customer-facing and commercially oriented role. Youll partner closely with our Sales team throughout the sales process, from discovery and product demonstrations to solution design and technical validation. Youll also work with existing customers to identify new use cases and expansion opportunities.
Were looking for someone who understands the business behind commercial real estate or construction, can quickly understand complex customer workflows, and knows how to turn business challenges into compelling technology solutions.
What Youll Do":
Partner with the Sales team throughout the enterprise sales process, from discovery and product demonstrations through solution design and closing.
Lead customer discovery to understand business challenges, workflows, and pain points, and translate them into compelling use cases.
Bring deep commercial real estate expertise into customer conversations and help identify where can create measurable business value.
Deliver tailored product demonstrations aligned with each customers business and priorities.
Work with existing customers to identify new use cases and expansion opportunities.
Act as a trusted business and product partner across both pre-sales and post-sales engagements.
Collaborate with Sales, Customer Success, Product, and Engineering to translate customer needs and market insights into actionable solutions and product feedback.
Continuously deepen your knowledge of platform and the commercial real estate market.

We are seeking an IT Support Engineer for our Tel-Aviv office. This is an on-site position requiring five days a week in the office. The primary responsibilities include providing technical support to end-users in the TLV office and to all users globally. This fast-paced role involves a variety of tasks, from onboarding new hires and troubleshooting user issues to providing hands-on support for all IT-supported equipment and functions.
What You'll Do:
Desktop Support: Provide onsite and remote support for all IT-related issues through ticketing system, walkups, or remote desktop tools, to diagnose and resolve hardware and software issues
Hardware Maintenance: Install, configure, and maintain laptops, including upgrades and replacements. Troubleshoot hardware problems and coordinate repairs with vendors when necessary
Hardware Procurement: Assist in the selection and procurement of IT equipment. Manage inventory and asset tracking
Software Support: Install, configure, and troubleshoot SaaS applications, operating systems, and security updates. Assist with software licensing
User Account Management: Modify, and deactivate user accounts, email addresses, and access permissions as needed. Ensure proper access control and user authentication
Network Connectivity: Assist users in connecting to the network, troubleshooting network issues, and configuring VPN and Wi-Fi connections
Documentation: Maintain accurate records of support tickets/requests, resolutions, and hardware/software inventory. Create and update user guides and knowledge base articles
IT Policies and Compliance: Enforce company IT policies and procedures, as well as compliance with relevant regulations, such as data protection and privacy laws
Manage and lead onboarding logistics and IT training for new hires, as well as offboarding logistics for retrieving equipment
Support local A/V Operations
Support Company All Hands events, as well as any ad-hoc local All Hands events
Provide white glove support to C-level executives
Participate in an on-call rotation schedule for IT Support and monitoring/alerting activities, which involve after-office hours and weekends
Accountability for site IT Operations and Maintenance (e.g. workstation setups, upkeep of conference rooms, managing ticket queue, network checks, etc.)
Assist IT leadership and other IT cross-functional teams with project-level deliverables

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.
If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us.
About This Role:
As a Senior Cloud Support Engineer in our Tel Aviv team, youll be a key technical partner for our customers, helping them get the most out of GPU-powered infrastructure. Youll dive deep into complex technical challenges, collaborate closely with global engineering teams, and play an active part in building a world-class customer experience.
we move fast, value initiative, and trust our people to think creatively and act with ownership. If you love solving problems, working with cutting-edge technologies, and being part of a close-knit, mission-driven team, this is the place for you.

we are looking for a Staff Technical Program Manager.
The Managed Inference platform is where customers run production LLM workloads without managing low-level infrastructure, and it is one of fastest-growing product areas. The Staff TPM for Managed Intelligence connects model engineering, IaaS, product, and data center operations to deliver a reliable, scalable inference platform.
You will own end-to-end program delivery across multi-quarter roadmaps, model onboarding, inference optimization, and production readiness for new model versions. Deep familiarity with the model layer -- including how LLMs are served, optimized, and evaluated in production -- is essential to being effective in this role.

As a Technical Project Manager, you will drive the planning, execution, and delivery of key cross-domain initiatives across Product and R&D. As part of our Product organization, you will act as a key connector between Product, R&D, QA, and Operations, ensuring teams are aligned and execution stays on track. You will navigate complex dependencies, remove blockers, and drive initiatives from early-stage 0-to-1 products through large, multi-quarter projects in a dynamic and fast-paced environment.

What youll do:

Lead Cross-Domain Initiatives: Own end-to-end execution of complex initiatives across multiple Product and R&D teams, managing dependencies, risks, priorities, and timelines.
Define the Solution: Take an active part in defining the solution together with the Product Lead and R&D Lead, so the plan is shaped with the people who will build it and own it.
Plan & Align: Take an active role in quarterly planning - OKRs, capacity, and roadmaps - and partner closely with Product and R&D leaders on execution plans.
Run the Delivery Discipline: Apply project management practice consistently across your programs: progress tracking, planning and timeline management (including Gantt views), capacity planning, risk assessment, and scope and change control.
Own External Commitments: Track and protect the commitments that carry an outside deadline - a client at risk, a launch date agreed with a partner - and surface their real status early enough for the organization to act on it.
Drive Execution: Turn strategy into action, resolve complex bottlenecks, and balance business priorities against technical constraints so teams can make clear, practical decisions.

Were looking for a hands-on AI Solutions Manager who combines deep practical knowledge of generative AI tools with strong business understanding. This role sits at the intersection of technology and impact - identifying real organizational needs and translating them into scalable, AI-driven solutions.

This role is perfect for someone who lives and breathes AI technology, stays ahead of the rapidly evolving landscape, and knows how to turn cutting-edge capabilities into real-world solutions.

What Youll Do

Collaborate with cross-functional teams to identify opportunities where AI can solve complex business and internal problems
Evaluate and select the right AI tools and models (Claude, Gemini, OpenAI, etc.) based on use case, limitations, cost, performance, and scalability
Design and implement AI-powered solutions and internal automations using LLM APIs and workflow platforms (e.g., N8N, Workato)
Build and optimize prompts, RAG pipelines, and AI agents while understanding model limitations and trade-offs
Architect scalable AI workflows and integrations across systems (e.g., Salesforce, Jira, Confluence, , etc.)
Lead hands-on projects from ideation to rollout, iterating rapidly to deliver value
Stay up to date with emerging AI capabilities and continuously evaluate new tools and frameworks
Educate and guide the organization how to adopt and use wisely AI tools and models

We are looking for a Senior Data Science Researcher to join Honeycomb's AI team, the team behind underwriting decisions, quote-time risk scoring, and portfolio analytics.

In this role, you will own entire research directions: framing the problem, deciding what's worth measuring, designing the approach from first principles, and turning
the result into production signal. The work is production-oriented applied research on hard, real-world datasets where standard recipes don't apply and the right method
often has to be invented for the problem.

What You'll Do

- Own open-ended research directions end-to-end - from a vague business question to a deployed, validated signal.
- Work across the team's core research areas - risk modeling, environmental and catastrophe modeling, and behavioral modeling - translating complex real-world processes
into reliable predictive signal.
- Deeply investigate existing production models - understand what they actually learn, where they break, and where the headroom is; identify and ship optimizations
grounded in that understanding.
- Design approaches from first principles when off-the-shelf methods don't fit the data.
- Build rigorous evaluations and own the result in production, not just the notebook.
- Document research clearly so findings are reproducible, auditable, and compound over time.

We are seeking a AI Engineer to join our team and implement advanced AI solutions in our travel and expense management products. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies.
You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation.
What Youll Do:
Design and develop scalable, high-performance backend services and APIs.
Implement integrations with AI platforms and services.
Work with AI specialists to translate AI capabilities into production-ready features.
Ensure high reliability, performance, and security of AI-powered systems.
Collaborate with product and engineering teams to gather requirements and deliver solutions.

We are looking for a Forward Deployed Egngineer with a strong performance marketing background to lead the deployment and success of our solution for a small number of enterprise customers.
You will own the full post-sale lifecycle, from implementation through ongoing optimization, working directly with growth, data, and engineering teams at some of the world's leading consumer apps. Your focus is on signal quality, experiment design, and driving measurable impact on paid acquisition performance.
This is a high-ownership role for someone who thinks in terms of ROAS, CPA, and bidding strategy, and can also get deep into data and systems to make it happen. You will be the primary point of contact for your accounts, lead engagements end-to-end, and translate performance data into clear decisions.
Success means turning your customers' best predictive signals into compounding growth on Google and Meta.
Responsibilities:
Performance and experimentation:
Design and structure pilots across Google Ads and Meta, including campaign selection, budget approach, bidding strategy, and success criteria
Evaluate experiment results and iterate based on performance signals
Help customers understand performance drivers, attribution, and how to scale what works
Monitor model and signal performance; identify issues early and intervene
Implementation and signal quality:
Lead end-to-end implementation across a small portfolio of enterprise customers
Adapt solution design and data strategy to each customer's ad tech stack and measurement setup
Ensure strong match rates, data accuracy, and signal reliability across conversion APIs and MMPs
Troubleshoot integration and data issues in collaboration with internal teams
Customer partnership and execution:
Own day-to-day execution across multiple engagements
Lead ongoing customer communication with both technical and senior growth stakeholders
Coordinate across product, engineering, and go-to-market teams
Build long-term trust through reliability and strong outcomes.

Were looking for a talented AI-native Software Engineer to join our innovative R&D team!
We help our customers acquire better users and spend less doing it - and our core team owns the engine behind it. We turn raw customer data into ad-network conversions, end-to-end: through large-scale ML and data pipelines, event-driven delivery services on AWS, and the UI that ties it together. There's no narrow lane here - you own problems wherever they live in the stack.
We're an AI-native team: we treat AI and agentic tooling as a first-class part of how we build, and it's how a small team credibly owns this much surface area. We're looking for a high-ownership generalist who works this way (or is hungry to), and who thrives in a correctness-critical domain where a bug means real customer ad-spend going the wrong way.
Responsibilities:
Turn raw customer data into ad-network conversions end to end, building across the whole stack: ML and data pipelines, delivery services, and the customer-facing UI.
Take features from idea to production largely on your own, designing, shipping, monitoring, and iterating, using AI and agentic tooling as a force multiplier, and owning your systems in production where mistakes translate directly into customer spend.
Collaborate closely with the team lead, product, and data scientists to take models and ideas from prototype to reliable, scaled-up production.

We are seeking a Project Lead - Design & Construction to join our development team and lead the planning, design, and delivery of workplace projects across our portfolio.
This role combines architectural planning, project management, budgeting, client-facing collaboration, construction execution, and site supervision. You will be responsible for Leading projects of varying scales end-to-end, from initial programming and concept development through planning, budgeting, execution, and delivery.
Working closely with Sales, Operations, Community, and Finance teams, and external partners, you will play a key role in shaping exceptional workplace environments for both existing and prospective members. The ideal candidate is highly organized, proactive, and capable of managing multiple projects simultaneously in a fast-paced and dynamic environment.

In this role, your responsibilities will Include, but wont be limited to:
- End-to-End Project Ownership:

Lead design and construction projects from concept through completion, ensuring delivery on time, within budget, and in alignment with our standards.

- Design Planning & Space Programming:

Develop project programs, layouts, and architectural planning packages for new locations, renovations, and custom workplace solutions. Translate project requirements into clear design deliverables while balancing member needs, operational requirements, and business objectives.

- Client-Facing Custom Solutions:

Partner with Sales teams and clients to develop tailored workplace solutions for enterprise and large-scale clients, translating business needs into high-quality design and construction outcomes.

- Budgeting, Cost Control & Procurement:

Prepare budgets, cost estimates, and construction pricing analyses. Track project spending, manage financial performance, and coordinate procurement processes.

- Cross-Functional Collaboration:

Collaborate closely with Sales, Operations, Community, Finance, consultants, contractors, and vendors to align project objectives and ensure smooth project delivery.

- Portfolio & Multi-Project Management:

Manage multiple projects of varying scales simultaneously, balancing priorities, mitigating risks, and maintaining clear communication and accurate project documentation throughout the project lifecycle.