דרושים » תוכנה » CONTRACTOR: Forward Deployed Engineer

We are looking for a proactive and detail-oriented Support Specialist to help improve the effectiveness, consistency, and quality of our global support organization.

The role will focus on support process ownership, quality reviews, operational follow-up, and continuous improvement initiatives. Working closely with support managers and team leaders, this position will help ensure that support standards are consistently applied, improvement actions are executed, and customer-facing operations continue to evolve and improve.

You will:
Lead complex pre-sales engagements from opportunity qualification through project award.
Design innovative solutions leveraging our intelligence analytics, SIGINT, cyber, AI, telecommunications, big data, and cloud portfolio.
Build trusted relationships with customer technical and executive stakeholders.
Lead cross-functional teams across Sales, Product Management, R&D, Project Management, and Finance.
Drive high-quality proposals, RFP/RFI responses, technical presentations, and business cases.
Present and influence decision-makers at both technical and executive levels.
Continuously expand your expertise and contribute knowledge back to the organization.

We're looking for a hands-on Senior Solution Architect to lead our Pre-Sales and Proof-of-Concept work. You'll be the technical authority prospects trust when they're deciding whether to bet their most critical workloads on us and you'll thrive on the pace and ownership that come with a fast-growing company.

Key Responsibilities
Win the technical case. Partner with our sales organization to demonstrate our value to prospects and drive adoption. You'll own the "technical win" on every opportunity you touch.
Get prospects to production. Provide technical review and recommendations for deploying us in production environments, and help prospects set up, tune, and benchmark the database during Proof-of-Concept phases.
Build and document solutions. Design our solutions and capture them in clear documentation - including integration guides and benchmarks of third-party tools working alongside our products.
Teach the technology. Develop training materials for our customers, and create and deliver training that helps users get the most out of the platform.
Connect the dots. Collaborate closely with other Solution Architects, and act as the bridge between customers and our product management and engineering teams - carrying real-world feedback back to the people building the product.

We are looking for a proactive and detail-oriented Support Specialist to help improve the effectiveness, consistency, and quality of our global support organization.

The role will focus on support process ownership, quality reviews, operational follow-up, and continuous improvement initiatives. Working closely with support managers and team leaders, this position will help ensure that support standards are consistently applied, improvement actions are executed, and customer-facing operations continue to evolve and improve.

You will:
Own and lead end‑to‑end technical presales activities for Nexyte across assigned accounts and territories.
Act as the primary technical and solution advisor for customers throughout the sales cycle.
Lead customer engagements including solution workshops, product demonstrations, executive‑level presentations, and Proof of Concept initiatives.
Drive RFI and RFP responses, including requirements analysis, solution design, sizing, and contribution to commercial strategy.
Partner with Account Managers, Product, R&D, and Delivery teams to shape solution strategy, support sales execution, and feed field insights back into the product and GTM strategy.

The WSSI (Windows Silicon System Integration) team is looking for an experienced Data Science Manager to lead a team developing production-oriented AI solutions across computer vision and efficient small language models, helping bring advanced models to Windows products under real-world edge-device constraints.

This role offers a meaningful leadership opportunity: managing a diverse team that includes researchers, MLOps engineers, and data management experts, while shaping the teams technical direction and influencing product directions in close partnership with product and system engineering teams, all within a culture that values inclusion, collaboration, continuous learning, and individual growth.

The teams primary focus is developing state-of-the-art computer vision solutions that can run efficiently under real-world edge-device constraints, including model size, latency, power, and deployment efficiency. In parallel, the team explores similar optimization opportunities for SLMs, enabling advanced AI models to run more efficiently across Windows products.

In this role, you will help turn applied research into production-quality AI experiences, collaborate closely with product, system engineering, software, and silicon teams, and create impact for millions of customers.


Responsibilities
Lead, grow, and develop a diverse data science team that includes researchers, MLOps engineers, and data management experts, while fostering a culture of technical excellence, collaboration, ownership, and continuous learning.

Define and drive the teams technical roadmap in close partnership with product and system engineering teams.

Guide the development of production-oriented AI solutions from research exploration through production deployment, with a strong focus on quality, scalability, reliability, and measurable customer impact.

Drive model efficiency and deployment readiness for constrained environments, ensuring AI solutions meet real-world requirements for performance, latency, footprint, and resource usage.

Mentor team members, create clarity, set priorities, and help the team deliver high-impact results in a dynamic and evolving environment.

We are looking for a Senior Data Scientist to lead the development of machine learning solutions powering real-time decision-making and recommendation systems in industrial production environments.

This is a hands-on role with end-to-end ownership. You will be responsible for the full modeling lifecycle, from problem framing and data exploration to modeling, evaluation, deployment, and production impact. You will work with complex, noisy sensor and control data, building models that must be robust, interpretable, and reliable in real-world conditions.

You will collaborate closely with deep learning researchers, research engineers, and domain experts, and play a key role in shaping how data science is applied across the system.
Key Responsibilities


Design, develop, and evaluate machine learning models for real-time industrial applications
Own the end-to-end modeling pipeline, including problem formulation, data preparation, feature engineering, model development, evaluation, deployment, and post-production monitoring
Translate ambiguous production challenges into well-defined data science problems
Lead feature engineering and data exploration on complex sensor and control datasets
Define KPIs, evaluation frameworks, and experimentation strategies
Ensure model robustness over time, including monitoring, drift detection, and continuous improvement
Work closely with data and research engineers to bring models into production
Drive best practices in modeling, validation, and reproducibility
Communicate insights, trade-offs, and recommendations clearly to stakeholders

We are looking for a Sr. Director Sales Engineering to lead and scale our global presales activities, acting as a strategic partner to the Sales organization and a key driver of revenue growth. This is a high-impact leadership role for an experienced professional who combines deep technical expertise, strong business acumen, and exceptional stakeholder management skills.

As a Sr. Director Sales Engineering, you will build and lead a high-performing team, shape solution strategy, and play a critical role in winning complex deals by aligning customer needs with our innovative solutions.

You will:
Lead, mentor, and scale a high-performing Sales Engineering/ Presales team, fostering a culture of excellence, accountability, and continuous development.
Act as a strategic partner to the GM Sales, supporting go-to-market strategy and driving revenue growth across key markets.
Own the end-to-end presales engagement in complex sales cycles, ensuring strong technical positioning and differentiation of Cognytes solutions.
Drive customer-centric solution design by deeply understanding customer challenges and translating them into compelling value propositions.
Lead and support high-stakes customer engagements, including executive presentations, demos, and proof of concepts (POCs).
Collaborate cross-functionally with Product, R&D, Marketing, and Delivery teams to align offerings with market needs and customer feedback.
Shape and standardize presales methodologies, tools, and best practices to improve efficiency, scalability, and win rates.
Provide market insights and competitive intelligence to influence product strategy and positioning.
Play a key role in strategic deals, supporting negotiations and ensuring technical and business alignment with customer requirements.

we are looking for a AI & API Security - Sales Lead.
We are building this into a fast-growth business line. You will lead Upstream's AI & API Security business globally - the number, the sales strategy, and the execution. This is a builder's role, and you will define and lead the sales motion, work closely with our regional sales leaders, marketing, product, and CSM teams, close the first flagship logos yourself, and then scale it through our global sales organization.
This role is full-time and is based in Herzliya, Israel.
Responsibilities:
Lead the AI & API Security business - carry a global revenue target, and own pipeline, forecast, and pricing for the line of business.
Build and lead the AI & API Security sales motion - define ICP, segmentation, packaging, and the sales playbook, in partnership with regional sales leaders, product, marketing, CSM, and cyber services.
Sell directly - personally lead strategic enterprise outreach end to end, from first meeting through technical validation, solution review, procurement, and close.
Enable the global sales teams - arm regional sellers in North America, EMEA and APAC with training, playbooks, and deal support so AI & API Security scales beyond your own quota. Support the sellers in every stage of the deal and push for closing the deals.
Act as the subject matter expert of the offering - run discovery, architecture discussions, demos, and POVs; represent Upstream at customer executive briefings, industry events, and analyst conversations.

We are seeking a high-performing GTM Engineer to join our team as a strategic force multiplier for our sales and marketing engines.

In this role, you will work closely with our GTM Engineering Lead to accelerate the transition from "old school SalesOps" to a modern, AI-driven Go-To-Market infrastructure.

This is an AI programming job in the field of Go-to-Market.

You will be a key developer and builder behind our AI-driven growth, turning strategy into high-performing code, autonomous agents, and scalable workflows.

Key Responsibilities

Identify high-leverage opportunities to automate manual workflows across Marketing and Sales using LLMs, autonomous agents, and modern API integrations.
Work closely with the GTM Engineering Lead to translate strategic growth initiatives into functional, AI-powered internal tools.
Design and build custom data pipelines and automations that remove friction for SDR and Marketing teams, allowing them to work smarter and move faster.
Own the development lifecycle of internal growth tools-from building and testing to shipping and iterating on production-level solutions.
Partner with Finance, Marketing, and Sales stakeholders to ensure AI deployments are scalable, secure, and measurably improve conversion rates.
Help establish ROI models and best practices for new AI-driven processes across the company.

we are looking for a AI Native Engineer (Node. js).
You will join a high-impact AI engineering team within R&D, owning problems end-to-end from understanding the business need, through architecture and implementation, to production monitoring. This is a new way of working at Payoneer: you'll work directly with business stakeholders, ship AI-driven capabilities at speed, and help define the methodology as we build it.
As a member of the AI Foundations organization, you will lead best practices, champion early adoption of new technologies, and influence the direction of our R&D guild - building and shipping cutting-edge agentic applications that deliver seamless experiences to our users.
Location
Hybrid - Herzliya, Israel
Full-time
What you'll do:
Own the full development loop understand the business problem, define the solution, architect it, build it, ship it, and monitor it in production
Use AI as your primary development tool, achieving in a day what used to take a team a week
Collaborate with your team and business stakeholders to define decision logic, risk thresholds, and success metrics
Design and build evaluation frameworks as part of every solution you don't ship what you can't measure
Own production readiness monitoring, alerting, and observability go in on day one
Contribute to shaping team practices, tooling, and engineering standards across the pod
Decompose business problems into agentic workflows, orchestrated flows, and reusable capabilities.

In this role, you will join a world-class team of engineers within the Surgical Operating unit responsible for developing medical devices that focus on lung cancer diagnosis.
Our Surgical Operating Unit is one new, powerful operating unit bringing together the people and product portfolio of Surgical Robotics and Surgical Innovations. With the Mission as our North Star, we will build on our legacy of proven surgical solutions and advance the promise of robotics and digital solutions to benefit our customers and patients.
Make your impact by exploring a career with the worlds leading Medical Device company, striving to alleviate pain, restore health, and extend life.

We are seeking a highly qualified and detail-oriented Software Verification Engineer to join our software verification team. This position involves verification and integration of complex, multidisciplinary medical systems. The role requires direct collaboration with cross-functional teams, including software, algorithm, and hardware engineering, to ensure the system meets all functional and performance requirements.
Responsibilities may include the following and other duties may be assigned:
Technical leadership: Serve as a technical leader within the verification team, providing guidance, reviewing test approaches and deliverables, and mentoring less-experienced engineers.
Independence: Demonstrated ability to independently lead complex verification initiatives, make sound technical decisions, and drive issues to resolution.
Designing and executing SW testing strategies: Proactively identify gaps in performance, accuracy, and quality across the software and algorithmic components of the system. Develop and prioritize test strategies based on risk, impact, and business needs. Create comprehensive test plans to validate functionality, accuracy, and performance.
Continuous improvement of testing processes: Identify process improvement opportunities by implementing new tools and optimizing methods.
Performing script-based testing: Develop and maintain test scripts to automate and enhance testing processes using Python, MATLAB, or other tools.
Collaborating with cross-functional teams: Work closely with cross-functional teams, including software, algorithm, hardware engineering, quality, and regulatory, to ensure successful testing outcomes.