About the Role:

We’re a growing SaaS startup building our security team from the ground up. We’re looking for a hands-on Product Security Engineer who enjoys breaking things (responsibly) and helping teams fix them fast.

This role is very practical and impact-driven. You’ll be embedded close to the product and engineering teams, proactively attacking our own systems before anyone else does. If you like moving fast, owning problems end-to-end, and thinking like a real attacker, this role is for you.

What You'll Do:

• Actively test our SaaS product for security vulnerabilities across web apps, APIs, and cloud infrastructure.
• Perform manual security testing and targeted penetration tests (beyond automated scanners).
• Implement and help implement automated security test suites.
• Identify abuse cases, business logic flaws, and real-world attack paths.
• Work directly with engineers to reproduce issues and drive fixes.
• Help introduce lightweight security practices into the development process (threat modeling, secure design reviews).
• Validate fixes and ensure issues are fully resolved.
• Stay current on new vulnerabilities, attack techniques, and SaaS-relevant threats.

What You'll Bring:

• 5+ years of experience in application security, offensive security, or penetration testing.
• Strong understanding of web and API security (OWASP Top 10, auth, sessions, access control).
•  Experience testing modern SaaS products.
• Comfort working in cloud environments (AWS / GCP / Azure at a practical level).
• Experience with common security testing tools (Burp Suite, Nuclei, etc.).
• Ability to communicate findings clearly and pragmatically to engineers.
• Self-starter mindset — comfortable operating with limited process and high ownership.

Preferred, but not required:

• Startup experience or early-stage product exposure.
• Bug bounty or responsible disclosure experience.
• Secure code review experience (any major language).
• Familiarity with CI/CD and modern SDLC security.
• Offensive security certifications (OSCP, GWAPT, etc.).

Job Description

Astera labs is seeking a skilled and motivated Data Scientist. This individual will play a pivotal role in identifying key data points for collection, developing strategies to accumulate data and deriving actionable insights an anomaly based on a solid foundation of relevant know-how. Also, will also be responsible for creating, testing, and deploying scripts and methods for data collection and analysis to support decision-making. The Engineer will collaborate with cross-functional teams to identify critical data sources to determine the most effective data collection strategies, will develop automated and scalable data collection pipelines, will ensure data quality, integrity, and consistency across all sources and may use AI techniques to refine the results toward failures predictions.

Basic Qualifications

• Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, or a related field.
• Advanced degrees in data science or Machine learning / AI - Advance.
• Proficiency in programming languages such as Python, R, or MATLAB.
• Strong understanding of data manipulation and analysis tools (e.g., Pandas, NumPy, SQL).
• Understanding of high speed interfaces such as Ethernet, PCI-E , WiFi.
• Experience with data visualization tools such as Tableau, Matplotlib, Graphana.
• Strong analytical and critical-thinking skills to identify patterns and outliers.
• Customer-obsession, Think and act with the customer in mind!
• Goal-driven, Self-motivated, be able to work independently and with teams with people around the globe.
• Entrepreneurial, open-minded behavior and can-do attitude.

Required Experience

• Experience with data manipulation and analysis tools (e.g., Pandas, NumPy, SQL).
• Machine learning and AI techniques and frameworks (e.g., TensorFlow, Scikit-learn).
• Proven ability to manage multiple tasks and meet deadlines.

Preferred Experience

• Embedded Firmware development with C-language, scripting with Python or other equivalent programming languages.
• Master’s degree in a relevant field.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) for data storage and processing.
• Familiarity with big data technologies (e.g., Hadoop, Spark).
• Knowledge of engineering design tools and processes.

About Aligned:

Aligned is the buyer enablement platform that helps modern B2B revenue teams close deals faster by solving the real problem: buying complexity.

The biggest reason deals stall isn’t bad sales execution: it’s buyer friction. More stakeholders, longer sales cycles, and greater budget scrutiny mean buyers struggle to evaluate, gain internal buy-in, and get a deal approved.

Aligned removes these roadblocks by giving sellers and buyers a single shared space – one link with every decision resource, stakeholder, and next step in one place.

With real-time signals, mutual action plans, and embedded deal playbooks, Aligned helps AEs drive deal momentum, reduce ghosting, and close with confidence – all while enabling their buyers to win.

The Role

We're looking for a hands-on Controller who thrives in a fast-paced startup environment, owns their numbers, and gets excited about building a modern, AI-native finance function from the inside out.

You'll get autonomy, real impact, and a team that moves fast and supports each other.

What You'll Do

🔹 Lead revenue recognition and calculations🔹 Own collections and billing operations🔹 Own the end-to-end monthly closing process🔹 Manage and mentor the bookkeeping team🔹 Build annual financial reports and lead the full audit cycle🔹 Identify and implement AI tools across finance workflows

Must Have

✅ Minimum 2 years as a Controller or Assistant Controller in a tech company✅ CPA from one of the Big 4 accounting firms✅ Proven experience in revenue calculation and recognition✅ Hands-on experience with collections and billing✅ Experience using and implementing AI tools in finance✅ Hardworking, curious, and eager to learn✅ Excellent English (written and verbal)

Advantage

➕ Experience with Stripe and/or Chargebee➕ Experience with subscription revenue models and collection processes

📍 Tel Aviv

At Similarweb, we’re revolutionizing how businesses understand the digital world by showing them everything that happens online. Our unique data and solutions empower over 13,000 customers worldwide including Google, eBay, and Adidas — to make game-changing decisions that drive their digital strategies. We went public on the New York Stock Exchange in 2021, and we’re still reaching new heights! Come join Similarwebbers across the globe who are bright, curious, practical, and genuinely good people.

About the Role

We’re looking for a Product Analyst to join our team and act as a central pillar between our data, our product, and our business strategy.

This isn’t a role for someone who just wants to answer tickets. You will be embedded with Product Managers and Growth leaders to not only provide data but to help shape the roadmap and influence how we build, launch, and monetize our products. We are looking for an analyst with a "business partner" mindset, someone who can look at a dataset and see the commercial opportunity or the user friction point before others do.

What You’ll Do

• Strategic Partnership: Work alongside PMs and leadership to define success metrics for new features and long-term growth initiatives.
• Full-Funnel Ownership: Design and measure KPIs across the entire user journey, from initial activation to complex monetization and retention loops.
• Proactive Discovery: Conduct deep-dives to uncover hidden bottlenecks. You won't just report on what happened; you'll recommend what we should do next.
• Narrative Building: Translate complex technical data into clear, "bottom-line first" narratives that drive action across the company.
• Cross-Functional Support: Act as the analytical bridge, supporting multiple product domains and ensuring a consistent, data-driven approach to every decision.

What We’re Looking For

• SaaS Experience: At least 2 years of experience as an analyst within a SaaS environment. You understand the core levers of a subscription business (ARR, Churn, PLG etc).
• Technical Versatility: High proficiency in SQL and experience with BI tools (Looker, Tableau, etc.). You are comfortable picking up new tools and datasets quickly.
• Commercial Intuition: You have a natural ability to connect user behavior to business outcomes. You understand that data is only valuable if it leads to a decision.
• Drive & Curiosity: You are a self-starter who takes extreme ownership. You don't wait for the "perfect" brief; you dig in and find the answers.
• Strong Communicator: You can present technical findings to non-technical stakeholders in a way that is clear, persuasive, and insightful.
• Degree: B.Sc. in Industrial Engineering, Economics, Statistics, or a related quantitative field.

Why You’ll Love Being a Similarwebber

• Impact: Your work will influence both product and business strategy across our global customer base.
• Growth: We foster a culture of open dialogue where big ideas are encouraged. This role offers real room to grow in scope and influence.
• Product: You’ll work with the world’s most powerful digital intelligence platform and actually love it.
• Culture: We’re inclusive, innovative, and supportive.

#LI-Onsite

About the Role:

We’re a growing SaaS startup building our security team from the ground up. We’re looking for a hands-on Product Security Engineer who enjoys breaking things (responsibly) and helping teams fix them fast.

This role is very practical and impact-driven. You’ll be embedded close to the product and engineering teams, proactively attacking our own systems before anyone else does. If you like moving fast, owning problems end-to-end, and thinking like a real attacker, this role is for you.

What You'll Do:

• Actively test our SaaS product for security vulnerabilities across web apps, APIs, and cloud infrastructure.
• Perform manual security testing and targeted penetration tests (beyond automated scanners).
• Implement and help implement automated security test suites.
• Identify abuse cases, business logic flaws, and real-world attack paths.
• Work directly with engineers to reproduce issues and drive fixes.
• Help introduce lightweight security practices into the development process (threat modeling, secure design reviews).
• Validate fixes and ensure issues are fully resolved.
• Stay current on new vulnerabilities, attack techniques, and SaaS-relevant threats.

What You'll Bring:

• 5+ years of experience in application security, offensive security, or penetration testing.
• Strong understanding of web and API security (OWASP Top 10, auth, sessions, access control).
•  Experience testing modern SaaS products.
• Comfort working in cloud environments (AWS / GCP / Azure at a practical level).
• Experience with common security testing tools (Burp Suite, Nuclei, etc.).
• Ability to communicate findings clearly and pragmatically to engineers.
• Self-starter mindset — comfortable operating with limited process and high ownership.

Preferred, but not required:

• Startup experience or early-stage product exposure.
• Bug bounty or responsible disclosure experience.
• Secure code review experience (any major language).
• Familiarity with CI/CD and modern SDLC security.
• Offensive security certifications (OSCP, GWAPT, etc.).

We are looking for a visionary and technically versatile Data Science Manager to join the Data Science & MLE group within our DS & Analytics organization.

In this pivotal role, you will lead a hybrid team of Data Scientists and Machine Learning Engineers, acting as the bridge between cutting-edge technical innovation and high-level business strategy. You won't just be managing a team; you will be the Technical Lead defining how we solve complex problems-from predicting player behavior to optimizing marketing budgets using the latest in Generative AI.

You will partner closely with Game Directors, Product Managers, and our central analytics teams to drive value across Zynga's diverse portfolio. If you are a leader who is "bilingual" in data-possessing deep Data Science expertise to guide methodology while bringing high MLE and Engineering skills to build scalable, production-ready systems-we want to hear from you.

Key Responsibilities

• Team Leadership & Mentorship: Recruit, retain, and develop top-tier talent within the Data Science & MLE team. Foster an inclusive culture of innovation where technical rigor meets creative problem-solving.

• Technical Direction & Engineering Standards: Act as the hands-on Technical Lead for the domain. You will supervise the end-to-end development lifecycle-from research to production-enforcing high standards and MLOps to ensure our models are scalable and maintainable.

• Strategic DS & Analytics Support: Drive the development of advanced analytical frameworks to solve core business challenges. You will guide the team in applying rigorous statistical and machine learning methods to areas such as Time Series Forecasting, Causal Inference, Marketing Optimization, Root Cause Analysis, and more.

• Strategy & Collaboration: Partner with Game Directors, BI Platform PMs, and embedded analytics teams to define the data strategy and roadmap. You will ensure that our technical initiatives are directly aligned with company-wide goals and solving the right problems.

• Global Alignment: Maintain a tight collaborative network with Data Science & Analytics managers in North America, ensuring global consistency in methodologies, knowledge sharing, and joint development.

Required Qualifications

• Experience: 5–10 years of experience in data science or machine learning roles, with 3+ years of experience in people management.

• Technical Proficiency: Expert proficiency in SQL and Python. You must be capable of writing and reviewing production-grade code and have hands-on experience with cloud environments (GCP, AWS, Databricks).

• Modeling Expertise: Strong background in Classical ML, Deep Learning, and familiarity with Generative AI (LLMs, Multimodal embeddings, Langchain or like technologies).

• Engineering Mindset: Proven ability to bridge the gap between Research and Engineering. Experience deploying models to production and maintaining them is essential.

• Education: Master’s degree in Computer Science, Math, Statistics, or a related quantitative field; a PhD is strongly preferred.

Preferred Qualifications

• Experience in the mobile gaming industry or high-velocity B2C tech environments.

• Passion for gaming and experience playing various game genres.

• Familiarity with modern data platforms (e.g., Vertex AI, Cloud Run, Sage).

What You'll Need to Succeed

• Independence & Proactivity: Ability to operate in a fast-paced, dynamic environment, managing timelines and mitigating risks effectively.

• Data-Driven Storytelling: Fluent English is mandatory. You need the ability to translate complex data science concepts into clear, compelling narratives for non-technical stakeholders to influence decision-making.

• Collaborative Spirit: A willingness to work across borders and time zones, partnering effectively with teams in Tel Aviv and North America.

We are looking for a visionary and technically versatile Data Science Manager to join the Data Science & MLE group within our DS & Analytics organization.

In this pivotal role, you will lead a hybrid team of Data Scientists and Machine Learning Engineers, acting as the bridge between cutting-edge technical innovation and high-level business strategy. You won't just be managing a team; you will be the Technical Lead defining how we solve complex problems-from predicting player behavior to optimizing marketing budgets using the latest in Generative AI.

You will partner closely with Game Directors, Product Managers, and our central analytics teams to drive value across Zynga's diverse portfolio. If you are a leader who is "bilingual" in data-possessing deep Data Science expertise to guide methodology while bringing high MLE and Engineering skills to build scalable, production-ready systems-we want to hear from you.

Key Responsibilities

• Team Leadership & Mentorship: Recruit, retain, and develop top-tier talent within the Data Science & MLE team. Foster an inclusive culture of innovation where technical rigor meets creative problem-solving.

• Technical Direction & Engineering Standards: Act as the hands-on Technical Lead for the domain. You will supervise the end-to-end development lifecycle-from research to production-enforcing high standards and MLOps to ensure our models are scalable and maintainable.

• Strategic DS & Analytics Support: Drive the development of advanced analytical frameworks to solve core business challenges. You will guide the team in applying rigorous statistical and machine learning methods to areas such as Time Series Forecasting, Causal Inference, Marketing Optimization, Root Cause Analysis, and more.

• Strategy & Collaboration: Partner with Game Directors, BI Platform PMs, and embedded analytics teams to define the data strategy and roadmap. You will ensure that our technical initiatives are directly aligned with company-wide goals and solving the right problems.

• Global Alignment: Maintain a tight collaborative network with Data Science & Analytics managers in North America, ensuring global consistency in methodologies, knowledge sharing, and joint development.

Required Qualifications

• Experience: 5–10 years of experience in data science or machine learning roles, with 3+ years of experience in people management.

• Technical Proficiency: Expert proficiency in SQL and Python. You must be capable of writing and reviewing production-grade code and have hands-on experience with cloud environments (GCP, AWS, Databricks).

• Modeling Expertise: Strong background in Classical ML, Deep Learning, and familiarity with Generative AI (LLMs, Multimodal embeddings, Langchain or like technologies).

• Engineering Mindset: Proven ability to bridge the gap between Research and Engineering. Experience deploying models to production and maintaining them is essential.

• Education: Master’s degree in Computer Science, Math, Statistics, or a related quantitative field; a PhD is strongly preferred.

Preferred Qualifications

• Experience in the mobile gaming industry or high-velocity B2C tech environments.

• Passion for gaming and experience playing various game genres.

• Familiarity with modern data platforms (e.g., Vertex AI, Cloud Run, Sage).

What You'll Need to Succeed

• Independence & Proactivity: Ability to operate in a fast-paced, dynamic environment, managing timelines and mitigating risks effectively.

• Data-Driven Storytelling: Fluent English is mandatory. You need the ability to translate complex data science concepts into clear, compelling narratives for non-technical stakeholders to influence decision-making.

• Collaborative Spirit: A willingness to work across borders and time zones, partnering effectively with teams in Tel Aviv and North America.

Making Security Real

As a Senior Information Security Engineer, you’ll be on the front lines of protecting the systems, users, and data at scale. This role is about turning strategy, architecture, and intent into enforced controls, effective detections, and resilient operations. You’ll work hands-on with the tools, signals, and incidents that define our real security posture.

If you believe security should be practical, measurable, and embedded into daily operations—and not just documented—we want you on the team.

What the Role Looks Like in Practice

You will be the technical anchor of our internal security posture:

• Architectural Ownership: Deploy, manage, and tune enterprise-grade security stacks (EDR, DLP, IAM, CASB, MDM) with a focus on deep integration and automation.
• The AI Frontier: Lead the charge on AI Security. You will implement and secure AI-driven workflows, ensuring LLM use is governed and protected against emerging threats such as data leakage and prompt injection.
• Proactive Defense: Build and maintain high-fidelity detections and guardrails that align with real-world attack techniques.
• Cross-Functional Synergy: Partner as a peer with Engineering, IT, and DevOps to ensure security controls are frictionless, automated, and effective.

What You’ll Bring

Technical Must-Haves:

• 7+ Years of Senior Experience: Extensive hands-on experience in InfoSec Engineering or SecOps within high-growth, cloud-native environments.
• AI Security Mastery (Required): You are ahead of the curve. You have practical experience securing AI adoption and leveraging AI-driven platforms to scale defensive capabilities.
• Deep Technical Stack: Expert-level knowledge of endpoint security (macOS/Linux), SaaS ecosystems, and Identity (Okta/OIDC).
• The Developer Mindset: Advanced scripting skills (Python is a must) to automate away manual toil and build custom security integrations.

Professional & Interpersonal Excellence:

• Strategic Communication: The ability to articulate complex technical risks as actionable business intelligence for diverse stakeholders, ensuring alignment between security objectives and business goals.
• Collaborative Influence: A track record of fostering strong partnerships with R&D and DevOps. You are a facilitator of "Secure-by-Design" principles, focused on engineering solutions rather than creating administrative bottlenecks.
• Crisis Management & Decisiveness: The capacity to maintain operational composure during high-stakes incidents, applying rigorous prioritization and risk-based analysis to drive remediation.
• Pragmatic Professionalism: A disciplined approach to balancing theoretical security ideals with the functional requirements of a high-velocity, global financial infrastructure.

Transmit Security gives businesses the modern tools they need to build secure, trusted and end-to-end digital identity journeys to innovate and grow. 

CX-focused, cybersecurity conscious leaders rely on Transmit Security’s xCIAM platform to provide their customers with smooth experiences protected from fraud across all channels and devices.

Transmit Security serves many of the world’s largest banks, insurers, retailers, and other leading brands, collectively responsible for more than $1.3 trillion in annual commerce. 

About the Role:

We are looking for a hands-on GTM AI Engineer to design, build, and deploy AI-powered workflows and automations across our go-to-market (GTM) systems.

This role sits at the intersection of business operations and technology, and acts as the engine behind revenue intelligence, process automation, and scalable pipeline generation systems.

You will be a technical force multiplier for our GTM team including creating workflows, agents, and integrations, embedded directly into core business systems (e.g., CRM, marketing automation, support tools).

This is not a traditional software engineering role, but it requires strong technical execution and ownership across the full lifecycle.

What you’ll do:

• Design, build, and maintain production-grade AI workflows and automations to streamline GTM execution (e.g., lead enrichment, routing, research, follow-ups, CRM hygiene, and customer handoffs)
• Develop and deploy LLM-based solutions, including prompt-driven workflows, reusable prompt libraries, and AI agents embedded within business systems
• Build and maintain integrations and data pipelines across CRM, marketing automation, enrichment tools, and internal systems to ensure reliable, connected data across the funnel
• Own workflow performance, review success metrics, iterate and demonstrate business impact.
• Build and maintain AI-assisted pipeline inspection tools to give RevOps and Sales Leadership real-time visibility into deal health
• Identify opportunities to reduce manual work and improve efficiency across RevOps, Sales, Marketing, and Customer-facing teams
• Partner with cross-functional stakeholders to map processes, identify bottlenecks, and prioritize high-impact automation opportunities
• Drive adoption through enablement: documentation, training, and ongoing feedback loops
• Evaluate and implement new tools and technologies based on ROI, scalability, and maintainability 

What you’ll need:

• 4–7 years of experience in Business Systems, RevOps systems, Data/Systems Engineering, or similar hands-on technical roles
• Proven experience building and deploying end-to-end workflows and automations in business environments
• Hands-on experience with LLM tools and prompt/workflow engineering, with a focus on reliability and real-world use cases
• Experience with automation/orchestration tools (e.g., workato) and/or agent frameworks 
• Strong experience integrating and extending CRM systems (e.g., Salesforce), including workflows, data models, and system integrations
• Experience working with APIs, system integrations, and data flows across multiple platforms
• Experience supporting GTM / RevOps in a SaaS environment
• Strong analytical and problem-solving skills, with the ability to prioritize based on business impact
• High ownership and ability to operate independently from idea to production
• Strong communication skills and ability to work effectively with both technical and non-technical stakeholders

#LI-AM1 #LI-Hybrid 

#LI-TL1 #LI-Hybrid 

Who We Are Looking For

 We are seeking an ideal candidate who embodies experience, proactivity, and a collaborative spirit. Someone who is genuinely excited about our company's technology and its sustainable, innovative approach to electric vehicle charging. We are in search of a creative system engineer who possesses a profound understanding of multidisciplinary systems, coupled with strong technical leadership skills and a background in electronic power design.

Responsibilities

• Defining product specifications and system requirements.
• Guiding R&D teams, encompassing electrical, mechanical, and software engineers, throughout all design phases.
• Overseeing design verification and validation processes.
• Playing an integral role in system architectural design.
• Serving as the technical authority and primary point of contact with the customer.
• Leading system standardization efforts for the EU and US markets.

Requirements

• A Bachelor's degree in Electrical Engineering – Mandatory.
• A minimum of 3 years of intensive experience as a system engineer on multidisciplinary products.
• Evolving from a background in electronic development.
• Familiarity with standardization processes.
• Knowledge in high-power systems.
• Proficiency in designing high-power/high-current systems and onboard auxiliary power systems – Considered a significant advantage.
• Experience within the automotive industry – Beneficial.
• Additional experience in VHDL, ARM, SOM, Embedded, and IoT – Also advantageous.

The role 

We’re seeking an exceptional Principal Application SW Engineer to join our Japan-based within the Application Software team, focused on localising and advancing Wayve’s autonomous driving technology for the Japanese market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Japan from the ground up.

In this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.

Key responsibilities:

• Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
• Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
• Integrate and validate drivers, middleware, and boot-time configurations.
• Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
• Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
• Implement system-level diagnostics, logging, and secure boot configuration.
• Develop automation for setup, flashing, health checks, and test execution on target hardware.

About you  

In order to set you up for success at Wayve, we’re looking for the following skills and experience.  

• 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
• Strong proficiency in C/C++, Bash, and Python.
  Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
• Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
  Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
• Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
• Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
• Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.
• No Japanese language required. 

Desired 

• Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
• Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
• Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
• Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.

This is a full-time role based in our office in Tokyo - we offer relocation package and visa sponsorship.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

For more information visit Careers at Wayve. 

To learn more about what drives us, visit Values at Wayve 

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

We are looking for a Research Team Lead to establish and lead a cross-product research team focused on horizontal, high-impact initiatives that influence multiple Cato offerings.

Unlike product-embedded research roles, this team drives foundational and strategic research projects across networking, security, identity, automation, and AI-driven capabilities. Examples include large-scale reasoning systems, autonomous policy frameworks, cross-domain detection and response concepts (xOps), and platform-wide intelligence capabilities.

You will combine deep technical expertise with strong leadership and execution skills -identifying impactful research directions, building a high-performing team, and turning advanced research into real platform capabilities used by thousands of customers worldwide.

Responsibilities

Technical Vision & Strategy

• Define and execute the roadmap for cross-product research initiatives.
• Identify high-leverage research opportunities that impact multiple domains and products.
• Drive long-term architectural thinking and influence platform evolution.
• Balance innovation, experimentation, and production-readiness.

Team Leadership

• Recruit, mentor, and grow a multidisciplinary team of researchers (AI, data, algorithms, networking, security).
• Establish high standards for research rigor, experimentation methodology, and engineering quality.
• Foster a culture of ownership, collaboration, and technical excellence.

Research & Execution

• Lead complex, ambiguous research initiatives from ideation through validation and productionization.
• Design large-scale experiments and validation methodologies using Cato’s data platform.
• Drive innovation in areas such as:
• Autonomous policy systems
• Cross-domain detection and response frameworks
• Large-scale reasoning and decision systems
• Data-driven optimization and automation capabilities
• Ensure research outcomes are measurable, scalable, and aligned with business impact.

Cross-Functional Collaboration

• Work closely with Product, Engineering, Architecture, and Product Research teams to translate research into shipped capabilities.
• Provide technical guidance and influence cross-organizational decisions.
• Act as a bridge between exploratory research and production systems.

Communication & Influence

• Present research findings and strategic recommendations to senior leadership.
• Produce clear technical documentation, design proposals, and internal position papers.
• Represent Platform Research as a center of excellence for cross-product innovation.

Requirements

Education & Experience

• BSc/MSc (PhD is a plus) in Computer Science, Electrical Engineering, or a related field.
• 7+ years of experience in applied research, advanced engineering, or system-level innovation.
• 2+ years of experience leading technical teams or major cross-functional initiatives.

Technical Expertise

• Strong background in networking and cybersecurity, including deep understanding of network protocols, architectures, threat models, and modern security frameworks, with the ability to design and analyze secure, large-scale systems.
• Experience applying AI/ML in production environments.
• Experience designing and delivering complex systems operating at scale.
• Hands-on programming experience (Python, Go, Java, or similar).
• Experience working with large datasets and experimentation frameworks.
• Strong analytical thinking and ability to formalize complex problems.

Leadership & Soft Skills

• Proven ability to lead multidisciplinary teams.
• Strategic thinker with strong execution capabilities.
• Comfortable operating in ambiguous, fast-moving environments.
• Excellent English communication skills.
• Team player, responsible, and well-organized.

Nice to Have

• Experience building autonomous or decision-making systems.
• Experience in networking or security product companies.
• Publications, patents, or recognized technical contributions.

The role 

As a member of the Embedded Automotive Platforms team, you will contribute towards the creation of a software platform that interfaces with the automobile’s embedded hardware. This includes developing abstractions and APIs that enable Wayve’s software and robotics teams to deploy AV software efficiently. Your role involves understanding the capabilities and nuances of various deployment platforms and creating abstractions that minimise the need for Onboard Applications to be customised for each target platform.You will play a crucial role in advancing Wayve’s AV technology. Your contributions will drive the efficiency, maintainability, and scalability of the embedded systems that underpin our autonomous vehicles.

Key responsibilities:

• Design, develop and maintain embedded software for autonomous vehicle platforms, focusing on sensor integration and hardware abstraction.
• Implement and optimize device drivers for various sensors and compute hardware.
• Collaborate with cross-functional teams to define software requirements and ensure seamless integration with the autonomous driving application stack.
• Debug and troubleshoot software issues, ensuring high reliability and performance.
• Participate in code reviews, testing, and documentation to maintain high software quality standards.
• Stay up-to-date with industry trends and advancements in embedded systems and autonomous vehicle technology

About you  

In order to set you up for success as an Embedded Automotive Platforms Engineer at Wayve, we’re looking for the following skills and experience.  

Essential 

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field
• Proven experience in embedded software development, with a strong preference for the automotive, autonomous driving, or robotics industries
• Proficiency in C++ programming language for high-performance systems
• Hands-on experience with embedded operating systems (e.g., Linux, QNX)
• Strong understanding of Middleware architectures and IPC mechanisms
• Proficiency in profiling and tracing tools to diagnose bottlenecks and latency issues
• Familiarity with Hardware Abstraction Layers (HAL) and device driver development
• Knowledge of sensor technologies (e.g., LiDAR, RADAR, cameras) and their integration with embedded systems
• Strong debugging skills and attention to detail in complex systems
• Excellent communication and teamwork skills 
• Ability to work in a fast-paced and dynamic environment

Desirable 

• Prior experience developing and deploying autonomous vehicle software on commercial automobiles
• Experience with NVIDIA Drive Orin platform, Qualcomm 8650/8620 or similar automotive computing platforms
• Understanding of safety-critical software development and automotive standards (e.g., ISO 26262, AUTOSAR, MISRA)

This is a full-time role based in Sunnyvale or Israel.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.  

We’re looking for an IoT Embedded Linux engineer to design, build, and own the software stack that powers our edge devices in the field. You’ll craft resilient Linux-based systems (from bootloader to application), ensure secure and reliable connectivity to the cloud, and work closely with hardware, manufacturing, and backend teams to deliver production-ready devices at scale.

A Day In Your Life 

• Own the embedded Linux platform: BSP, kernel configuration, device tree, bootloaders (e.g., U-Boot), systemd services, and startup/upgrade flows.
• Develop user-space applications using object-oriented principles (C++/Go/Rust/Similar) to implement core device logic and features, leveraging available libraries and frameworks.
• Build production images using Yocto or Buildroot, manage layers/recipes, and maintain reproducible builds for multiple hardware variants.
• Implement secure OTA updates (e.g., Mender, RAUC, SWUpdate), with A/B partitions, rollback, and signing—targeting zero‑touch fleet upgrades.
• Harden devices for security: filesystem permissions, sandboxing (e.g., AppArmor/SELinux), secure boot/TPM, key management, CVE tracking, and update policies.
• Deliver robust connectivity: Ethernet/Wi‑Fi/Cellular (LTE), BLE gateway roles, MQTT/HTTPS, VPN/WireGuard; optimize reliability, roaming, and reconnection logic.
• Instrument and debug in the field: journald, core dumps, remote shell, metrics/health checks; trace with strace/perf/tcpdump and diagnose with Wireshark.
• Collaborate across disciplines: work with HW, manufacturing, QA, backend, and product to define requirements, provisioning flows, and factory test automation.
• Raise the bar on quality: CI/CD for cross‑compilation, unit/integration tests, static analysis, reproducible builds, and fleet-safe release practices.

What you bring

• 3–5 years of Embedded Linux experience shipping devices to production at scale.

• Strong proficiency in object-oriented programming (OOP) principles and multi-threading experience, with hands-on skills in C/C++/GO/Rust/Similar in user space (some kernel familiarity) and scripting (Bash, Python); expertise with build systems (CMake/Make, BitBake).
• Hands-on with Buildroot or Yocto Project (preferably Buildroot), including custom layers, recipes, and SDKs.
• Solid understanding of Linux kernel basics, device trees, drivers/BSP integration, bootloaders (U‑Boot), and systemd service design.
• Networking fundamentals: TCP/IP, DHCP/DNS, TLS, MQTT/HTTPS, VPN; experience with Wi‑Fi/cellular modules and AT command stacks is a plus.
• Proven experience with OTA frameworks, partitioning strategies, and rollback-safe update flows.
• Git fluency and experience with CI (GitHub Actions, GitLab CI or similar) for cross builds and test automation.
• BSc in EE/CE/CS (or equivalent practical experience).

Nice to have

• Device security: secure boot, TPM, disk encryption, SBOM/CVE remediation workflows.
• Real-time and performance: PREEMPT_RT, scheduling, latency tuning, power management.
• Edge packaging: containers (Docker/Podman) on ARM, OCI/CRUN, rootless strategies.
• Cloud & IoT: AWS IoT/Azure IoT, device identity/provisioning, fleet management tooling.
• Language breadth: Go or Rust for system services; protobuf/gRPC.
• Manufacturing flows: factory provisioning, E2E traceability, and end-of-line testing.

Perks

• Stock options
• Paid parental leave
• Flex PTO
   

This role is located in Tel Aviv, Israel - We are a hybrid work environment and are in the office 3+ days/per week.

Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip’s cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category.

A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, and Israel. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage’s Top Workplaces USA, and one of Built In Boston’s “Best Places to Work” and “Best Midsize Places to Work.”

About You:

You possess strong technical acumen, people management skills, and a deep understanding of product business value. With years of experience building and delivering web-enabled SaaS products, you're passionate about mentoring engineers. A collaborative, motivated self-starter, you're ready to lead and bring your authentic self to work. You also love cross-functional collaboration with infrastructure, product, design, and customer teams on key projects, and working in a multi-cultural company with offices around the world.

What skills do I need?

• 5-7+ years of SaaS software engineering experience, ideally in contemporary tech stacks, ideally with direct involvement in complex and stable backend infrastructure.
• 2+ years in people management leading a software team, with experience in with hiring, mentoring, and creating career opportunities for your team
• Hands on experience with cross-functional team leadership with technical and customer-facing feature delivery
• Strong understanding of testing and deploying systems in multicloud/multitenant environments.
• Familiarity with integrating software components and third-party technologies.
• Experience architecting systems that integrate agentic and generative AI capabilities.

Key Responsibilities 

• Strategic Team Leadership & Development: Lead and grow a high-performing team of up to 10 software engineers around the world. You'll not only provide coaching and guidance on technical skills but also define clear growth paths for each team member, running regular 1:1s and providing continuous, bidirectional feedback.
• Tel Aviv Site leadership: Act as a key leader in establishing and growing Tulip’s Tel Aviv site, providing technical leadership while also contributing to the operational, cultural, and team-building foundations of the office.
• Technical Vision & Architectural Oversight: Contribute directly to the team's IC work as a "player-coach," while also overseeing the technical aspects of projects, including code quality and system architecture. You'll set relentlessly clear expectations for productivity and efficiency, leveraging your expertise to ensure the team delivers against goals.
• Product Delivery: Own your team's metrics and drive change based on data to impact results. You'll be accountable for setting and delivering on quarterly goals for the team, ensuring their work is aligned with the company's vision and business objectives.
• Cross-Functional Collaboration & Stakeholder Management: Act as a primary point of contact for your team, building strong collaborative networks across different functions at Tulip. You'll communicate changes and important company priorities effectively within your team and also with stakeholders, raising questions when more information is needed.
• Process Improvement & Culture Building: Proactively identify and improve repeatable processes for your team and across the company. You'll build an inclusive, trusting, and open community within your team, ensuring they have the appropriate tools and systems for success.

Key Collaborators:

• Engineering leadership peers on Boston and Munich
• Product team in Tel Aviv and Munich
• Operations team in Tel Aviv, Boston and Munich
• QA team
• Customer-facing teams

Working At Tulip

We know even great candidates experience imposter syndrome. Even if you don’t match every requirement, applying gives you the opportunity to be considered. 

We’re building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include:

• Direct impact on product and culture
• Company equity
• Flexible work schedule and vacation policy
• Working with international colleagues
• Company-provided lunch benefits via Cibus card
• Virtual and physical company events and happy hours
• An inclusive, dog-friendly office with diverse and inspiring colleagues

We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations.