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We are seeking a highly skilled and motivated Senior Software Engineer GenAI to join our growing R&D team. In this role, you'll design, develop, and scale our next-generation backend platform, AI-driven workflows, and GenAI applications. You'll work with modern cloud technologies and LLMs to build resilient, high-performance systems while contributing to architecture, technical leadership, and mentoring.

This role is ideal for an experienced backend engineer who enjoys solving complex technical challenges, building scalable systems, and working with cutting-edge AI technologies.

Key Responsibilities

Design and develop scalable backend services using Python.
Build resilient distributed systems, microservices, and AI-driven workflows.
Integrate Large Language Models (LLMs) using AWS Bedrock and other AWS services.
Design and implement event-driven architectures and modern APIs.
Optimize databases, search capabilities, and caching strategies to support high-performance applications.
Contribute to cloud infrastructure, CI/CD pipelines, and observability practices.
Collaborate with Product, Data Science, and Engineering teams to deliver scalable solutions.
Provide technical leadership through architecture discussions, mentoring, and hands-on development.

The Salesforce Consultant will be responsible for performing business analysis in order to support the following departments - Sales, Customer Service, Partner Management, and Operations teams.



Summary of Key Responsibilities

Analyze customer business requirements and define future needs based on Salesforce best practices
Configure the Salesforce application based on the customer's requirements
Implementation and support activities for projects
Allocate tasks including project timelines
Deliver projects, using the most appropriate Salesforce tools and techniques
Apply best practices to build the Salesforce applications
Work with internal and external interfaces
Implement business functionality
Research Salesforce capabilities as needed to suit business requirements
Perform Quality Assurance of customer projects

Architectural leadership of the enterprise DWH project in an AWS cloud environment. The role focuses on designing robust data infrastructure, establishing the technological roadmap, and enabling seamless large-scale data processing to support BI and AI initiatives.

Key Responsibilities:

Lead the architectural design and implementation of the new enterprise DWH project.
Design, develop, and optimize complex cloud-based data solutions for processing massive datasets.
Select and implement the optimal AWS services (Redshift, Glue, Athena, EMR) and data formats (Parquet, Iceberg) for the core data stack.
Provide technical leadership, mentorship, and professional guidance to the Data Engineering team.
Collaborate closely with development teams, Data Scientists, and end-users to define requirements and deliver innovative Data and AI solutions.

Integration into the development team for a core DWH project and various AI projects. Responsibilities include the ingestion of large volumes of new data, followed by deep understanding and analysis of data in close collaboration with Data Scientists. Design, development, and optimization of critical, diverse, and large-scale data pipelines - in both cloud and on-premise environments.



Key Responsibilities:

Take responsibility for the ingestion of large volumes of new data.
Conduct deep understanding and examination of data in close collaboration with Data Scientists.
Design and develop critical, diverse, and large-scale data pipelines and processes.
Deploy and optimize data solutions across both cloud and on-premise environments.

In this senior role, you will demonstrate prescriptive solution-selling expertise by developing deep account strategies for large-scale organizations, focusing on Professional Services (PS) and Managed Services (MS).

You will provide leadership in strategic engagements, interacting with C-level executives and leading cross-functional teams (including solution architects, delivery managers, and consultants) to close complex, high-value digital transformation deals. The ideal candidate has extensive experience in the Israeli enterprise market, with a deep understanding of navigating large organizational structures, managing long-term relationships, and driving business value through the Salesforce ecosystem.



Summary of Experience

Enterprise Ownership: Own the end-to-end sales cycle for large, complex deals-from initial relationship building to scope definition, negotiation, and contracting.
C-Suite Advisory: Act as a trusted advisor to high-level decision-makers, aligning capabilities (Core clouds, Industry clouds, and data solutions) with their business transformation goals.
PS & MS Growth: Drive revenue across the entire project lifecycle, from large-scale Professional Services (implementation, migration, and customization) to long-term Managed Services (ongoing optimization, support, and evolution).
Account Expansion: Identify signals for large-scale up-sell and cross-sell opportunities within existing enterprise accounts, maximizing the lifetime value of the Salesforce platform.

As a Sales Development Representative (SDR) , you will help businesses advance their cloud journey and digital transformation.

We are looking for a highly proactive, ambitious, and results-oriented Sales Development Representative (SDR) who is eager to learn and possesses a strong sense of curiosity. As an SDR, you will be part of the Israeli marketing team and work closely with other cross-functional teams.

Responsibilities:

Conduct cold and hot calls and email sequences to generate new sales opportunities.
Understand our Ideal Customer Profile (ICP) and conduct company and industry research.
In coordination with the marketing team, develop nurturing strategies that include outbound calling, emailing, events, etc., to convert leads into sales opportunities.
Schedule meetings with potential customers for our sales representatives in alignment with the sales team.
Present AWS / Salesforce and AllCloud products and participate in demo/pitch sessions with C-level and VP-level executives of potential new customers.
Create leads, opportunities, and reports in Salesforce in collaboration with the AWS / Salesforce team.
Collaborate with the Account Executive team on account strategy, messaging, and qualification criteria, and participate in the early stages of the deal cycle.

As a Salesforce Solution Architect, you will design and implement Salesforce solutions for our clients. You will collaborate with various stakeholders to understand business requirements and translate them into scalable and efficient Salesforce solutions. The ideal candidate will have a solid technical background in Salesforce, with demonstrated expertise in architecture design and implementation. We want to hear from you if you are passionate about Salesforce and enjoy working in a dynamic and challenging environment.

Responsibilities:

Designed and implemented Salesforce solutions for clients, ensuring scalability, efficiency, and best practices
Collaborate with stakeholders to understand business requirements and translate them into technical solutions
Lead and participate in project planning and estimation activities
Provide guidance and mentorship to development teams on Salesforce best practices and design patterns
Collaborate with cross-functional teams to integrate Salesforce solutions with other systems
Identify and resolve technical issues and challenges, driving continuous improvement and optimizing Salesforce solutions
Stay up-to-date with Salesforce platform updates, new features, and industry trends to provide innovative and effective solutions

As a Senior Cloud DevOps Engineer, you will take ownership of setting up, maintaining, and evolving enterprise-grade AWS cloud architectures. You will act as a technical authority, driving infrastructure observability strategies, leading complex troubleshooting and root-cause analysis, architecting end-to-end automation solutions, and mentoring fellow engineers.

Responsibilities

Lead the architectural design and implementation of highly scalable, secure, and tailor-made cloud solutions.
Architect and drive the deployment of advanced, enterprise-grade cloud services.
Design and implement comprehensive end-to-end automation and CI/CD strategies.
Act as a trusted technical advisor, maintaining a strategic feedback loop with customers to ensure solutions align with their core business needs and expectations.
Lead root-cause analysis (RCA) and resolution for high-impact, complex technical issues.
Design and oversee large-scale, distributed monitoring, logging, and observability solutions.
Provide technical leadership, code reviews, and mentorship to mid-level and junior DevOps engineers.

As Salesforce Team Leader , You will lead a team of Salesforce Consultants, collaboratively with others to create custom, scalable processes for our customers. You will lead technical requirements gathering sessions and produce technical requirements and design documents. You will be managing the technical delivery of integrations, security, single-sign-on and application customization.



Summary of Key Responsibilities

Lead a team of Salesforce Consultants. Mentoring and coaching team members on both technical capabilities and soft skills.
Serving as a bridge between the team and project management/stakeholders, ensuring clear alignment and managing expectations smoothly.
Find creative solutions to complex technical and integration challenges.
Introduce new methodologies, technologies and tools of the technical Salesforce ecosystem.

The Technical Project Manager (TPM) will oversee and manage the end-to-end delivery of complex enterprise cloud solutions and platforms, with a strong mandatory focus on Amazon Web Services (AWS). Operating within our Professional Services (PS) team, this mid-level role requires a skilled manager who can navigate technical constraints and system integrations within highly regulated, enterprise-grade environments (such as the financial, insurance, and public sectors). The ideal candidate will seamlessly bridge the gap between business needs and technical execution, combining deep AWS understanding with project methodologies, resource management, and client-facing excellence.



Key Responsibilities:

Lead the delivery of platform integrations and cloud projects for major enterprise clients from inception to deployment, ensuring high customer satisfaction and alignment with business goals.
Drive the execution of AWS cloud infrastructure solutions and advanced platform architectures, working closely with engineering and architecture teams.
Serve as the primary PS focal point for large-scale enterprise, financial, and government clients. Manage stakeholder relationships, conduct regular briefings, and ensure alignment between technical teams and client management.
Conduct systems analysis, capture complex business requirements, and author comprehensive Business Requirement Documents (BRDs) and technical specifications (SOWs) for client engagements.
Monitor detailed project budgets, track project profitability, and ensure optimal resource allocation and cost efficiency throughout the project lifecycle.
Oversee system integration processes within highly regulated environments. Collaborate with security and compliance teams to ensure solutions meet strict enterprise and financial sector regulations.
Proactively identify and mitigate risks associated with project delivery. Utilize enterprise tools to track project health, timelines, and KPIs.

our company  is a fast growing tech company in the automotive space with hubs across the US and Israel. We are disrupting the multi-trillion dollar transportation industry with our advanced Customer data Platform (CDP). Our work happens in the fast lane as we bring AI-powered, data -driven solutions to a quickly evolving industry. Our team at our company is made up of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal driven, and, at our core, we believe every voice has value and can impact our bottom line. If you are a creative, solutions-oriented individual who is ready to put your career in drive, our company is the place for you! We are looking for a talented Technical Support Specialist (Tier 1) to step into a foundational role with opportunities for advancement to Tier 2, team lead, Technical Support Engineer, or specialized technical roles based on performance and interest. Beyond ticket resolution, you will be empowered to act as a crucial liaison between our customers and engineering teams, identifying trends and contributing directly to product improvements, knowledge base development, and operational initiatives. You'll gain invaluable experience with cutting-edge SaaS technologies at a high-growth startup. We are seeking a highly autonomous and experienced learner who thrives on tackling new challenges, proactively expanding their technical expertise, and consistently delivering a superior customer-centered experience within a fast-paced environment. This position is based in Israel (Jerusalem or Tel-Aviv) and reports to the Manager of Technical Support in the US.

What you will be responsible for:

* Provide high quality customer support to our customers
* Demonstrate exemplary customer service skills via inbound/outbound phone, email, and internal chats
* Troubleshoot, manage, and resolve technical issue tickets and be the point of communication between our clients, partners, and other internal supporting teams utilizing salesforce and Atlassian
* Triage, prioritize, and drive open cases in the US queue during Israel working hours
* Manage high-pressure critical alerts and outages
* Collaborate with US teams and Israel Support Engineers to solve technical product issues while keeping in constant communication with the customer
* Resolve complex technical escalations, and drive process improvements with leads to reduce global escalation rates and friction
* Architect advanced internal resources and documentation for systemic issue resolution
* Demonstrate a can do attitude to solve as many issues at your resolution level
* Performing a variety of additional technical tasks on our customers accounts

Why you should join us:

* An awesome global team of forward-thinking, innovative go-getters.
* A front-row seat to the strategic decisions shaping the company at a pivotal moment.
* Direct partnership with the C Level leadership team - exposure, ownership, and visibility from day one.
* Learning and growth opportunities within a fast-paced tech startup environment. As a part of our team, your success in this role is crucial to our company's growth, and we are committed to supporting you.

we are looking for a Embedded Software Group Lead- Interceptor Systems.
As the Software Group Lead, you will be the primary architect and execution lead for a cutting-edge missile interceptor system. This is a high-stakes executive role requiring a rare blend of low-latency embedded engineering and high-level Command & Control (C2) orchestration. You will be responsible for building a multi-disciplinary software team from the ground up, defining the software lifecycle, and ensuring the seamless integration of missile subassemblies with ground-based mission control.
We are looking for a "builder" mentality, capable of switching between high-level architectural strategy and driving end-to-end delivery from concept to field deployment.

Were looking for a highly motivated AI Developer to help design, build, and deploy intelligent agentic systems across our product ecosystem. In this role, you'll work at the intersection of machine learning, backend systems, and modern frontend technologies to deliver AI-first features that feel magical to users.

This is a hands-on, cross-functional role ideal for engineers who love building full-fledged features-from data pipelines and LLM orchestration to intuitive UI experiences-with a strong product mindset.

Responsibilities:
AI Agent Design & Integration
Design and implement autonomous or semi-autonomous agents using LLMs (e.g., OpenAI, Anthropic, open-source models).
Work with prompt engineering, RAG pipelines, and tool/plugin integrations to enable agents to interact with internal and external systems.
Build scalable agent runtimes and orchestration layers (e.g., LangChain, Semantic Kernel, ReAct-based agents).
Fullstack Product Development
Own full-stack features end-to-end: from backend APIs and data models to React-based frontend interfaces.
Integrate AI/agent capabilities into customer-facing products with clean UX and measurable performance.
Collaborate closely with design, product, and data teams to bring ideas from concept to production.
Systems & Infrastructure
Build and maintain backend services and pipelines that support AI agents, including vector search, embeddings, function calling, and observability.
Optimize inference flows for performance and cost, potentially using streaming, caching, or local model inference.
Ensure systems are secure, reliable, and compliant with InfoSec standards.
Experimentation & Continuous Improvement
Rapidly prototype and iterate on new AI capabilities and user experiences.
Analyze performance and usage metrics to drive product and model improvements.
Stay up to date with the evolving AI toolchain and emerging agent architectures.

software stack, either on the embedded / flight side (RTOS, low-latency sensor and comm code on the interceptor) or on the ground station / Command & Control side (distributed services for mission monitoring, threat evaluation, and visualization). You'll work under the Software Group Lead's architectural direction, with deep ownership of the modules you ship.
We are looking for a "builder" mentality, someone who drives end-to-end delivery from concept to field deployment, and who treats AI coding tools as a force multiplier rather than a curiosity.
Responsibilities:
Build: Develop flight software, sensor fusion algorithms, and secure communication protocols between the interceptor and C2; or build distributed microservices for the ground station, depending on which area fits your background.
Integrate: Work alongside Hardware Engineering (mechanical, electrical, GNC), Systems Engineering, and Program Management to integrate the software with the rest of the missile and ground station.
Test: Participate in HIL/SIL testing phases, support field trials, and write the automation that keeps these tests fast and reliable.
AI-assisted delivery: Use modern AI coding tools (GitHub Copilot, Cursor, Claude Code, etc.) heavily across your daily work to ship faster without compromising safety-critical standards.
Collaborate: Contribute to design reviews and architectural decisions; raise issues and propose alternatives rather than waiting for direction.

This is a high-ownership role combining strong business judgment with deep technical capabilities. You will contribute to strategic initiatives, work closely with Product Managers, engineers, and senior leadership, and help shape how decisions are made across the company.
You will work primarily with dbt, BigQuery, Looker, and GitHub, using AI-enabled tools such as Cursor, MCP integrations, n8n, and OpenClaw to accelerate and automate your work.
For us, AI-native means more than generating SQL in a chatbot. It means giving agents the right context and tools, validating their output, and turning repeatable processes into reusable workflows.
Product data is consumed throughout Connecteam. Success in this role therefore requires excellent communication, proactive ownership, and the ability to translate complex analysis into practical business recommendations.

Key Responsibilities
Partner with Product Managers and engineers to define events, funnels, activation criteria, adoption metrics, and post-launch measurement.
Analyze high-impact questions involving signup conversion, first-day behavior, feature adoption, retention, and release performance.
Contribute to strategic projects and provide leadership with trusted insights and actionable recommendations.
Define and validate analytics events, then integrate them into our usage, 360, and feature-usage models.
Extend and validate dbt models, owning changes through pull request and CI.
Build and maintain focused Looker dashboards that support product decisions.
Investigate anomalies, usage drops, tracking failures, spam, and inconsistent metrics.
Turn repeatable analyses and operational processes into agent skills, rules, and automated workflows.