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Were looking for a BDR to join our growing Sales team and open the door to some of the biggest brands in the world.
What youll do

Own outbound into a set of Fortune 500 and leading global accounts, from first research to first meeting
Build account plans: who matters, what they care about, and how we get in
Write and test your own messaging across email, LinkedIn, phone, and any channel that works
Research and identify potential customers and key decision-makers, and build the prospecting lists to reach them
Create meaningful conversations, qualify opportunities, and generate real pipeline for the Sales team
Partner with Account Executives to sharpen the strategy on priority accounts
Track everything in our CRM and use what you learn to improve your approach week over week
Go deep on the Social Video Intelligence space and become fluent in digs product and value proposition

Required Senior CPU Design Verification Engineer, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you will work as part of a Research and Development team. You will build verification components, constrained-random testing, and system testing, and drive verification closure. You will verify digital designs, collaborate closely with design and verification engineers on projects, and perform direct verification. You will build constrained-random verification environments that exercise designs through their corner-cases and expose all types of bugs. You will manage the full life-cycle of verification, which can range from verification planning and test execution to collecting and closing coverage.
Responsibilities:
Plan the verification of digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.
Create and enhance constrained-random verification environments using SystemVerilog and UVM, or formally verify designs with SystemVerilog Assertions (SVA) and industry leading formal tools.
Identify and write all types of coverage measures for corner-cases.
Debug tests with design engineers to deliver functionally correct design blocks.
Close coverage measures to identify verification holes and to show progress towards tape-out.

Required ML Hardware Achitect
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
In this role, you will help shape the future of Clouds next-generation AI infrastructure, architecting high-performance Machine Learning silicon designed to power hyperscale AI inference. You will have an opportunity to drive accelerator technology that powers Generative AI models, large language models (LLMs), and emerging agentic workloads where throughput, latency, memory bandwidth, and energy efficiency are mission-critical.
You will be part of a silicon architecture team pushing the boundaries of custom computing. Leveraging your deep expertise in hardware-software co-design, machine learning algorithms, and computer architecture, you will define and optimize custom compute engines and memory hierarchies that accelerate the world's most advanced AI models across Cloud datacenters.
Responsibilities
Lead the architectural definition, modeling, and specification of next-generation, high-performance ML compute IP and acceleration blocks for Cloud AI silicon.
Own the ML IP architecture specification throughout the entire product lifecycle: concept exploration, cycle-accurate modeling, implementation, silicon bring-up, and production.
Partner closely with leading AI research and algorithm teams (e.g., Google DeepMind, Gemini research teams) and software compiler teams (XLA, PyTorch) to explore architectural trade-offs and define hardware requirements for emerging model architectures.
Drive comprehensive architecture studies, evaluating compute dataflows, numerical formats, sparsity, and specialized acceleration mechanisms such as key-value (KV) cache optimization.
Drive performance, latency, power efficiency, and silicon area projections across model topologies and workload configurations.

We are looking for a jack of all trades. Someone happy to wear many hats and switch between them all day, who picks things up fast, thinks like an analyst, and brings great energy to the team.



What you will do



Onboarding: Drive the technical and operational rollout for new customers. Customize data views and reporting formats to each client's unique preferences, to ensure key insights are immediately accessible, intuitive, and actionable for their team.
Data Analysis: Analyze customer and product data, track performance metrics, and surface patterns and insights for both clients and internal teams.
Technical Support: Resolve product-related issues via email and own escalated cases end to end.
Prompt Engineering: Design, test, and refine prompts that power our product and customer setups.
Process Optimization: Monitor workflows, recommend new procedures, and roll out improvements using AI and automations to reduce friction and make our day-to-day faster.

We are seeking a Solution Engineer to join our Government Business Unit, based in Israel. In this high-impact role, you will bridge the gap between complex AI/data technologies and real-world intelligence operations. Working closely with the Sales team, you will serve as the technical authority during the pre-sales cycle for international and Israeli prospects, driving solution design, technical validation, and client engagement for defense and intelligence stakeholders.

The ideal candidate brings strong pre-sales experience, a deep technical background, and a proven background in intelligence or military operations (experience with the Israeli Navy or Defense/Intelligence agencies is a major advantage).

Key Responsibilities
Lead the technical side of the sales cycle, translating complex customer needs into tailored, winning solution architectures.
Design, build, and deliver high-impact product demonstrations, technical trials, and Proof of Value (PoV) projects for key stakeholders.
Conduct discovery sessions to analyze client infrastructure, operational workflows, and domain-specific challenges.
Drive the technical responses for RFPs, RFIs, and complex defense tenders, working closely with internal R&D, Product, and Customer Success teams
Serve as a trusted advisor on Maritime Domain Awareness (MDA), API integrations, and hybrid SaaS deployments.
Provide client feedback and market requirements back to Product and R&D teams to shape the future of our platforms.

Were looking for a Full Stack Engineer who wants to build, not just maintain. Someone who gets excited about laying down core infrastructure, shaping technical vision, and shipping real product fast. This is a hands-on role with tons of room to grow and influence the direction of the company.

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What Youll Do
Own big pieces of the product: Youll lead core projects that shape how teams experience Shapes, making complex workflows feel dead simple.
Ship fast and thoughtfully: We care about great engineering and moving quickly. Youll set the tone for both.
Build the foundation: From infrastructure to frontend components, youll help create the building blocks that unlock entirely new use cases for our customers.
Make us scale like magic: As usage explodes, youll make sure our product stays fast, stable, and elegant behind the scenes.
Collaborate deeply: Youll work side-by-side with design, product, and go-to-market teams to bring ambitious ideas to life, and help shape the technical culture as we grow.

Were looking for a Senior full stack Engineer who wants to build, not just maintain. Someone who gets excited about laying down core infrastructure, shaping technical vision, and shipping real product fast. This is a hands-on role with tons of room to grow and influence the direction of the company.

What Youll Do
Own big pieces of the product: Youll lead core projects that shape how teams experience Shapes, making complex workflows feel dead simple.
Ship fast and thoughtfully: We care about great engineering and moving quickly. Youll set the tone for both.
Build the foundation: From infrastructure to frontend components, youll help create the building blocks that unlock entirely new use cases for our customers.
Make us scale like magic: As usage explodes, youll make sure our product stays fast, stable, and elegant behind the scenes.
Collaborate deeply: Youll work side-by-side with design, product, and go-to-market teams to bring ambitious ideas to life, and help shape the technical culture as we grow.

As the Sales Director, you will take ownership of our top-tier strategic defense accounts in Israel. You will drive large-scale, multi-million-dollar government opportunities, leading complex sales cycles with strategic defense arms, procurement authorities, and intelligence bodies.

You will manage high-value, recurring multi-year and rolling contract agreements, leverage your deep domain expertise and network to open doors at the executive/senior rank level, and secure long-term adoption of our AI platforms.

Key Responsibilities
Lead relationship management and sales strategies for top-tier defense, naval, and intelligence ecosystem accounts.
Drive, structure, and close multi-million-dollar defense deals, including complex multi-year and rolling contract frameworks.
Influence operational requirements early in the process and navigate complex defense procurement mechanisms, tender processes, and government budget approvals.
Utilize your senior network across the defense and security ecosystem to build trusted relationships with high-ranking decision-makers, procurement officers, and operational units.
Drive multi stakeholders processes that include several users, champions, decision makers, budget owners at all levels in the organizations.
Create strong pipeline within existing customers and new prospects.
Close deals in a multi stakeholders environment that include people from different divisions within the customer and the purchasing arms.
Ecosystem Collaboration: Collaborate effectively with major defense prime contractors and integrators on joint opportunities or large-scale platform integrations.
Operational Alignment: Translate cutting-edge AI and Maritime Domain Awareness (MDA) capabilities into clear operational value for intelligence analysts, command centers, and tactical decision-makers.

What Youll Do
Run the operating rhythm - cadence and meeting readiness across management meetings, QBRs, and product leadership. Everything updated and ready before its needed.
Own the product stack - the system the org runs on for prioritizing, making decisions and knowing whats next. From cross-team portfolio management to a full internal product for how product and R&D actually work to achieve goals.
Build the data and metrics layer - KPI dashboards, product analytics, and signal pulled from across the stack (customer success, sales, support) into one view leadership trusts and PMs can self-serve. Instrument what matters, kill what doesnt, keep it current.
Build tooling for the team - custom AI skills for PMs, a customer-feedback workflow, a competitor-insights agent, and the automations that take repetitive work off the teams plate.
Keep the company in the loop - internal release notes, the internal roadmap, and a clear, current view of whats shipping and why, so the whole company stays aligned without having to ask.
Track what weve promised - organize and track customer commitments so nothing made in a sales room gets lost on the way to a roadmap.
Keep us audit-ready - run the product orgs compliance ops to legals requirements, and automate what you can. Legal owns the call; you make sure were never caught out.
Take on special assignments - the high-leverage things that dont fit a box yet. Youre the person we hand the ambiguous, important problem to.
Join a team thats pretty fun, kinda smart, and a little stupid. We love working together, care about good work and good vibes in equal measure, are genuinely obsessed with solving hard problems, and want you to succeed here.

Required Design Engineer, Edge AI, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you will work to shape the future of an Edge-AI product, bringing high-performance intelligence to the edge. You will have an opportunity to drive distributed inference technology that powers real-time systems where latency and reliability are mission-critical.
You will be part of a team that pushes boundaries, developing robust, autonomous solutions that define the next generation of intelligent infrastructure and hardware for the edge. You will contribute to the innovation behind products that transform industries, leveraging your expertise in system-level integration and localized processing to deploy complex AI models across sophisticated hardware platforms, ensuring intelligence is embedded exactly where the action happens.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of our platforms, we make our product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
Responsibilities
Lead a complex ASIC subsystem.
Understand how it interacts with software and other ASIC subsystems to implement groundbreaking data center.
Define high-performance hardware/software interfaces. Write micro architecture and design specifications.
Define efficient micro-architecture and block partitioning/interfaces and flows.
Collaborate closely with software, verification, and physical design stakeholders to ensure the designs are complete, correct, and performant.

Required Edge-AI SOC Verification Lead, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you will work to shape the future of an edge-AI product, bringing high-performance intelligence to the edge. You will have an opportunity to drive distributed inference technology that powers real-time systems where latency and reliability are mission-critical.
You will be part of a team that pushes boundaries, developing autonomous solutions that define the next generation of intelligent infrastructure and hardware for the edge. You will contribute to the innovation behind products that transform industries, leveraging your expertise in system-level integration and localized processing to deploy complex AI models across sophisticated hardware platforms, ensuring intelligence is embedded exactly where the action happens.
Our mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
Responsibilities
Lead the verification of an edge AI IP, to be used in edge-AI products.
Lead a team of chip verification engineers. Plan tasks, allocate people, hold verification design/code reviews, and drive verification execution.
Plan the verification of digital design blocks, including writing test plans, and other verification documents.
Code development of verification features and capabilities, and participate in RTL debug.
Work closely with architecture, software, design, and physical design stakeholders to make technical decisions and represent project status throughout the development process.

Were rebuilding the application from the ground up, and youll co-own it. Its two products at once: the workspace analysts and government operators actually work in, and the composition layer underneath it - an app builder for missions. Youll build the data and UX primitives that other PMs assemble into a customer-tailored mission workflow. The problem to solve is a modular investigations system: sharp enough to compose into different missions, and open enough that agentic workflows run inside them rather than beside them.

What Youll Do
Own the layer everyone else builds on. The application itself. The rest of the product org, sales engineering, and every mission we sell run on the primitives you define.
Work on things that matter. Interdiction, mission planning, investigations - our product sits inside decisions with real global consequences.
Lead your own team of engineers. A dedicated team building with you. Youre not their manager, but you set what gets built and why, and youre in the architecture conversation rather than briefed after it.
Challenge, get challenged. We move between different kinds of hard, but we do it together. New research areas, novel world problems, new types of intelligence sources.
Present your own work. Small product org, no layers. Youre in front of the exec team, sales team, and marketing team.
Build your own agents and skills. Youll spend time abstracting your job and putting yourself in a position where your role is about judgment, not busiwork.
Join a team thats pretty fun, kinda smart, and a little stupid. We love working together, care about good work and good vibes in equal measure, are genuinely obsessed with solving hard problems, and want you to succeed here.

Required Software Engineer III, Technical Infrastructure
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Responsibilities
Design, develop, and maintain advanced software modeling tools and simulation environments.
Leverage C++, Python, and experimental AI-driven methodologies to perform deep-dive studies and automate analytical workflows.
Conduct in-depth security analysis and threat modeling for hardware-software interfaces.
Develop and implement methodologies for detecting, mitigating, and analyzing side-channel and micro-architectural vulnerabilities, ensuring our systems meet the highest standards of safety and privacy.
Explore, deploy, and scale experimental AI-driven tooling to automate verification workflows, enhance predictive modeling, and accelerate development cycles. Contribute to expanding the team's suite of AI-assisted capabilities.

we are looking for a Product Manager to own it end-to-end.

Cross-product impact. The capabilities you build are the risk infrastructure that every other domain in the product runs on. Every customer and nearly every workflow touches Cloud Risk. When the platform tells a security team, fix this first, that is your domain.

Full ownership. This is a true builders role. You will define the domain from the ground up with your own dedicated engineering team and a dedicated security researcher, bringing real innovation to how cloud risk is scored and prioritized, and turning a hard problem into the risk engine the entire product depends on.

This is a role for someone who wants to help build the org of the future, where agents and people work side by side. A strong software engineer who wants to own complete solutions rather than one piece of a larger system. Youll be expected to figure out how to solve the problem and make it work.

What Youll Do
Take a problem from fuzzy to shipped - work from a rough definition and a priority, and figure out the rest.
Architect, build, and ship AI agents, applications, and intelligent workflows end-to-end. Integrate AI solutions with company data, APIs, and internal systems.
Rapidly prototype and experiment with new AI technologies, turning successful concepts into reliable production solutions.
Embed with internal users - sit with the team, watch how they work, map the process, build what fixes the highest-leverage part.
Own the build end-to-end - architecture, implementation, evals, logging, deployment.
Debug the non-deterministic - when a system fails on edge cases, you build the evals and guardrails to catch it rather than reading logs by hand.
Stay honest about what AI can and cant do - scope realistically, ship reliably, dont overpromise.