דרושים » פיתוח תוכנה » Founding Software Architect AI Startup

At Similarweb, we empower the worlds leading brands to win online. Our digital intelligence solutions offer unmatched visibility into the online world, enabling smarter, faster growth. A key part of this mission is the Shopper Intelligence solutionhelping eCommerce leaders unlock insights into digital shelf dynamics, pricing strategies, and shopper behavior across marketplaces and retailers.

About the Role
As the R&D Director of Shopper Intelligence, youll lead a fast-scaling, multidisciplinary product group with startup energy and enterprise impact. Youll own the technical and organizational direction of the team, guiding multiple squads of engineers and data scientists building one of Similarwebs most strategic offerings.

You will oversee the development of full-stack platforms and advanced ML models, working closely with Product, Design, Business, and Go-To-Market (GTM) teams to shape and execute a bold vision for Shopper Intelligence.

What Youll Do
Leadership & Strategy
Define and drive the technical vision, structure, and roadmap for the Shopper Intelligence R&D group.

Lead multiple cross-functional teams composed of full-stack engineers, data engineers, and data scientists.

Serve as a key stakeholder in product, engineering, and business planningowning both delivery and innovation.

Product & Engineering Delivery
Collaborate deeply with Product, Business, and GTM stakeholders to co-own product vision and long-term strategy.

Oversee the design and development of web-based applications using React and TypeScript, with strong focus on user experience and performance.

Lead backend development with Node.js, NestJS, and microservice architecture supporting scalable APIs and data flows.

Guide implementation of robust Python-based data pipelines and microservices using orchestration tools like Airflow and data processing frameworks like Spark.

Ensure world-class engineering practices around CI/CD, monitoring, testing, and DevOps using Kubernetes, Docker, GitHub Actions, and Terraform on AWS.

Data & AI Innovation
Manage teams developing advanced machine learning models across domains such as signal processing, inference, and LLM-based architectures (e.g., transformers, RAG).

Oversee data science workflows from exploration and analysis to model training, validation, deployment, and monitoring.

Leverage and extend high-scale analytical environments built on SQL, Firebolt, Snowflake, and real-time data engines.

Support the development of AI-powered features that deliver intuitive, decision-ready insights to our customers.

A problem isnt truly solved until its solved for all. Thats why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, youll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. Youll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

As a Technical Program Manager for Silicon Development, you will use your technical and management experience to lead the development and execution of complex, multidisciplinary SoC projects. You will plan programs and manage their execution from early concepts through development to tape-out and production. You will collaborate closely with architecture, design, verification, physical implementation and manufacturing teams throughout the SoC execution life cycle. This includes making technical decisions for the chip designs and methodology, driving project schedules, identifying risks and communicating them to all stakeholders, and managing partner teams.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities
Plan, coordinate, and deliver custom silicon products.
Assess complexity and scope out the project, generate task lists, build a project timeline and work with the teams to make it into reality.
Lead the data-driven schedules and milestones, track the progress, proactively identify potential future issues, and identify mitigations with the team leaders.
Drive technical, budgetary, and schedule trade-off discussions with cross-functional teams.
Manage project execution and issues through design, development, test, manufacturing, deployment and sustaining activities for silicon and hardware products.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's 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 take part in CPU development, leading the CPU architecture and microarchitecture definitions. You will collaborate with software and hardware architects, design, verification, and physical implementation teams. You will influence the building of processor performance analysis infrastructure with modeling, emulation, and silicon measurement and drive power and performance optimizations for our specific customers workloads.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities
Lead architectural definition of CPU core designs, facilitate and make final decisions.
Participate in and influence the building of processor performance analysis infrastructure.
Influence the development of architectural models with varying configurations across product categories.
Perform Performance, Power, Area (PPA) trade-off analysis for architecture and microarchitecture features, communicate analysis results in both qualitative and quantitative fashion to support decisions.

Join us at Check Point Software Technologies as a Software Development Team Lead and play a pivotal role in revolutionizing how organizations defend against cyber threats.

As part of our team, you'll not only lead a group of talented individuals in developing cutting-edge cybersecurity solutions but also have the opportunity for personal and professional growth within our company. We believe in investing in our employees' development and offer opportunities for advancement as we continue to innovate and expand our reach in the cybersecurity industry.

If you're passionate about innovation, driven by excellence, and eager to make a difference in the ever-evolving world of cybersecurity, we want to hear from you.

Key Responsibilities
Lead and manage a team of professional Software Developers, providing direction, guidance, and mentorship.
Collaborate with cross-functional teams to define project requirements and objectives, ensuring alignment with company goals.
Drive the development and implementation of innovative cybersecurity solutions, leveraging emerging technologies and industry best practices.
Monitor project progress and performance, identifying risks and implementing mitigation strategies as needed.
Foster a culture of innovation, collaboration, and continuous improvement within the team.