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לפני 11 שעות
Location: Tel Aviv-Yafo
Job Type: Full Time
You don't need a traditional technology background to succeed here. What we're looking for is someone who is genuinely passionate about AI, technically sharp, and capable of owning complex projects end to end. The technology operations side of the role is learnable; the drive, curiosity, and communication skills are not.
You'll be the person who shapes how our company uses AI internally, builds the systems that keep our technology running smoothly, and ensures our security and compliance obligations are met on time.
Responsibilities
Gen-AI & Intelligent Tools
You'll own this from day one. we are actively building AI into how every team operates, and you'll be the person making that happen.
Continuously explore the generative AI landscape and bring forward clear, well-reasoned recommendations on what our company should adopt
Lead the full lifecycle of AI tool rollouts, from identifying the right solution, building the business case, managing the rollout, and driving adoption across teams
Build and automate workflows using AI and no-code/low-code tools that remove friction and free up people to focus on higher-value work
Become the internal go-to for anything AI related, running training sessions, writing guides, and helping teams get practical results from the tools they use
Track and report on the ROI and adoption of deployed tools, and adjust course when something isn't working
Stay obsessively current on what's happening in AI, new models, new agent frameworks, new use cases, and translate that knowledge into concrete action
Technology Operations
Take ownership of our company's internal technology stack, including devices, software, user accounts, and day-to-day support
Manage employee onboarding and offboarding from a technology perspective
Keep SaaS tools, licenses, and vendor relationships organized and up to date
Maintain clear documentation so nothing lives only in your head
Security & Compliance
Keep ISO certification requirements on track by managing audit schedules, documentation, and coordinating evidence collection across departments
Drive SOC 2 readiness by maintaining the evidence library (access reviews, training records, change management logs) and supporting auditor visits
Vet new suppliers before onboarding by collecting security documentation, ensuring agreements are signed, and keeping the vendor register current.
Requirements:
Strong technical foundation, whether from a development, data, product, or technical operations background
Genuine, demonstrable passion for generative AI; you've built things with it, you follow the space closely, and you have opinions about what works and what doesn't
A track record of picking up new domains quickly and becoming effective without being hand-held
Strong project management skills; you can take an ambiguous objective, break it into steps, and see it through to completion
Clear, confident communicator who can explain technical concepts to non-technical colleagues and bring people along on change
Comfortable with ambiguity and energized by building structure where it doesn't yet exist
Nice to Have
Experience with automation and workflow tools (Zapier, Make, n8n, or similar)
Familiarity with AI agent frameworks or prompt engineering
Exposure to compliance concepts (ISO 27001, SOC 2) even without formal certification
Experience at a startup or high-growth environment where you had to wear multiple hats.
This position is open to all candidates.
 
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13/05/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for an AI Engineer who is equal parts builder, enabler, and visionary.
This is a rare opportunity to join a small, elite team at the ground floor and have outsized impact on how AI is designed, built, and shipped across a globally recognized cybersecurity platform.
If you thrive at the intersection of cutting-edge AI research and real-world production systems and you want your fingerprints on something that matters - read on.
Why Join Us?
Greenfield opportunity - you're not joining a mature team with fixed patterns, you're helping define them.
Real impact at scale - your work will influence products used by thousands of organizations worldwide.
A team of great people - small, senior, and genuinely collaborative.
Freedom to innovate - we encourage bold ideas, fast experiments, and honest feedback.
our company's AI moment - AI is a company-wide strategic priority, and this group is at the center of it.
*we are an equal opportunity employer committed to diversity and inclusion.
Key Responsibilities
What You'll Do:
Build AI infrastructure - Design and develop the foundational tools, frameworks, and pipelines that power the group's AI capabilities, with a focus on LLMs and Generative AI.
Enable AI across the team - Act as the group's AI enablement engine: establish best practices, create internal tooling, and uplift teammates to work effectively with AI systems.
Own AI agents & agentic workflows - Design, implement, and iterate on autonomous agents and multi-step AI pipelines integrated with a variety of tools and environments.
Bring AI to production - Take models and capabilities from prototype to production-grade systems - reliable, scalable, and observable.
Shape the big picture - Contribute to the group's AI strategy, not just its execution. We want someone who asks "why" before diving into "how."
Stay ahead of the curve - Continuously research and evaluate emerging AI techniques, models, and tools - and bring what's relevant back to the team.
Collaborate and communicate - Write clearly. Think clearly. Work closely with researchers, engineers, and product stakeholders to align on goals and drive outcomes.
Requirements:
Must-Haves:
Strong hands-on experience with LLMs and Generative AI- prompt engineering, fine-tuning, RAG pipelines, evaluation, and beyond.
Proven ability to build and ship production-level AI systems - not just notebooks, but real, deployed infrastructure.
Experience building or working with AI agents - tool use, agentic frameworks (e.g., LangChain, LlamaIndex, AutoGen, or similar).
Excellent written and verbal communication skills - you can explain complex AI concepts to both engineers and non-engineers.
Strong command-line proficiency and comfort working across diverse tools and environments.
A growth mindset - you read papers, break things, and love learning.
Nice to Have:
Experience in AI enablement - building internal tools, templates, frameworks, or training that help others work with AI more effectively.
Background in cybersecurity or working with security data.
Familiarity with cloud-based ML infrastructure (AWS, GCP, or Azure).
Experience with observability and evaluation frameworks for LLM-based systems.
Mindset & Culture Fit:
Big-picture thinker - you zoom out to understand what the team is building toward and zoom in to execute.
Team player with ambition - you lift others up while pushing yourself and the work forward.
Self-driven - in a small team, you own your domain end to end.
Comfortable with ambiguity- we're building something new; not everything is defined yet.
This position is open to all candidates.
 
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12/05/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
That's why we're hiring a sharp, AI-enthusiastic technical writer and content creator to own how we produce, automate, and scale our documentation and content. You'll sit at the intersection of technical writing, product marketing, and AI automation - managing our knowledge base, building AI-powered workflows, and partnering with PMM to produce high-quality content at scale. If the idea of using AI to 10x a content team's output without sacrificing quality excites you, keep reading.


Responsibilities:
What You'll Do

Documentation & Knowledge Base

Own and maintain documentation - ensuring it is accurate, well-structured, and always up to date

Write and edit technical documentation including product guides, release notes, API references, onboarding materials, and FAQs

Build a scalable documentation system that can grow with our product and team

Work closely with Product and Engineering to translate complex technical concepts into clear, accessible content

AI Automation & Workflow

Design and implement AI-powered workflows to automate repetitive documentation and content tasks

Use tools like LLMs, AI writing assistants, and automation platforms to accelerate content production

Build prompt libraries, content templates, and AI-assisted review processes that maintain brand quality

Identify new opportunities to use AI to improve content accuracy, consistency, and speed

Content Creation for PMM

Partner with the Product Marketing team to create content, including blog posts, case studies, landing page copy, product one-pagers, and email sequences

Help maintain brand voice across all content types - from technical docs to marketing material

Support campaign launches with well-written, technically accurate content that speaks to both technical and business audiences
Requirements:
3+ years of experience in technical writing, content management, or a closely related role

Proven track record of using AI to scale content operations, including prompt engineering, building reusable prompt libraries, integrating LLMs into documentation or content workflows, and measuring the quality and throughput gains. Familiarity with tools like Claude, GPT, Cursor, n8n, Zapier, or custom GPTs/Claude Projects is expected.

Strong writing and editing skills - you can make complex technical topics easy to understand

Experience managing or contributing to a knowledge base or documentation platform (e.g. GitBook)

Highly organised, self-directed, and comfortable owning projects end-to-end
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
As an AI Productivity & Implementation Specialist, you will partner with business units across our company to identify where AI can eliminate friction, accelerate processes, and create measurable efficiency gains. You will not just recommend. You will build, deploy, and own the solutions end to end.
This is a high-visibility role in a team that reports to the COO. Your work will be measured in business outcomes, not activity.
What You Will Do
Partner with business unit leads and department heads to map their end-to-end processes, identify inefficiencies, and assess whether a process should be eliminated, redesigned, or enhanced with AI.
Design and deploy AI-powered automations and workflows using no-code and low-code tools (e.g. BlinkOps, n8n, Claude Cowork, GPT integrations, or similar).
Run AI productivity projects from discovery through deployment and adoption, owning the full lifecycle.
Inspect end-to-end organizational processes and evaluate whether they are needed, broken, or candidates for AI enhancement.
Translate business problems into clear AI solution briefs and present recommendations to non-technical stakeholders.
Develop organizational learning tools and lead training sessions to ensure employees actually use the AI solutions you deploy.
Track and report measurable outcomes: time saved, cost reduced, error rates reduced, cycle times improved.
Requirements:
What We Are Looking For
5 years of experience combining business operations, process improvement, or program management with proven hands-on use of AI tools.
Demonstrable experience deploying AI automations or workflows in a business context, not just personal use.
Strong business sense: you can read a process, identify what is broken, and think about it in terms of time, cost, and risk before thinking about tools.
Excellent communication skills. You will spend as much time in rooms with department heads as in tools. You must hold both conversations credibly.
Comfort with ambiguity. This team is newly formed. You will build structure, not inherit it.
Fluency in Hebrew and English, both written and verbal, required.
A genuine curiosity about AI, not as a trend, but as a craft.
Education
BSc in Industrial Engineering and Management, Organizational Development, Learning Technologies, or equivalent. Equivalent hands-on experience in operations or AI implementation will be considered equally.
Nice to Have
Experience in fintech, payments, or financial services.
Experience with knowledge management systems or learning and development tools.
This position is open to all candidates.
 
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03/05/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Software Engineer to join the AI Engineering team in a role focused on embedding directly with business teams to drive AI transformation. This role is outward-facing: you will sit alongside GTM and G&A functions - Sales, Marketing, Finance, HR, Legal, Customer Success - and fundamentally alter how these teams operate with AI.
Departments outside of R&D are still early in their AI journeys, and they need technically strong partners who can understand their workflows, identify the highest-leverage opportunities, and build the solutions that actually change how work gets done. If you see the value in sitting with a business leader, understanding a painful manual process, and shipping something in a week that saves hundreds of hours, then this role is for you.
Why should you join us?
This is a unique opportunity to own the end-to-end AI transformation of entire functions, with executive sponsorship and real mandate. Youll be working as part of an incredibly strong team of senior engineers at the forefront of AI. The work revolves around learning the latest tech in AI, and leveraging it to change how hundreds of people across the organization work every day.
You'll operate with unusual autonomy: scoping problems directly with function leaders, deciding what to build, shipping it, measuring impact, and iterating. You'll work closely with senior leadership to ensure your work aligns with company strategy, giving you company-wide business impact and visibility.
What you will be doing:
Embed with GTM and G&A teams (Sales, Marketing, Finance, HR, Legal, Procurement, Customer Success) to identify, scope, and prioritize the highest-impact AI opportunities within each function, and act as both product manager and engineer for these initiatives.
Own the full lifecycle of each solution, from requirements gathering through deployment to adoption measurement and iteration, with a focus on business outcomes.
Serve as the primary technical partner and AI advisor for business function leaders, translating their needs into engineering plans and helping them develop their own AI fluency.
Develop and deliver hands-on AI enablement and training for non-R&D teams, building their ability to use AI tools independently and effectively.
Collaborate with the team to leverage shared infrastructure (MCP servers, RAG systems, evaluation frameworks, guardrails) while feeding back requirements from the field.
Measure and report on AI adoption impact - quantifying time saved, process improvements, and capability gains - to build the case for continued investment and to guide prioritization.
דרישות:
7+ years of software engineering experience, with a strong track record of shipping production systems.
Demonstrated experience working directly with non-technical teams to deliver technology-driven transformation.
Exceptional communication skills: you can run a discovery session with a VP of Sales, write a clear project brief, present results to an executive audience, and pair with a junior analyst on prompt engineering, all in the same week.
Strong product instincts. You naturally think in terms of user problems, adoption, and measurable outcomes rather than technical elegance for its own sake.
Comfortable with ambiguity and self-direction. You won't have a detailed backlog handed to you; you'll build it by understanding the business.
Passionate about LLMs, prompt engineering, and AI application patterns (RAG, agents, tool use).
Itd be really cool if you also:
Have led or played a central role in an AI or digital transformation initiative, with measurable results you can speak to.
Have experience in product management, solutions engineering, or technical consulting roles in addition to software engineering.
Are familiar with GTM/G&A tooling ecosystems (CRM, ERP, BI platforms, HRIS, marketing automation) and understand how AI can augment them.
Have hands-on experience with agentic patterns (Claude Code, MCP, Strand המשרה מיועדת לנשים ולגברים כאחד.
 
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10/05/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We need an experienced Team Lead who has managed developers before and knows how to get things done. You'll own the delivery and day-to-day leadership of a 7-person team working across two demanding domains - AI and Connect.

Beyond managing the team, you'll be expected to lead the vision. That means staying ahead of the AI curve, identifying where the product should go next, and actively pushing for innovation - not waiting to be told. The team works with LLMs, RAG pipelines, integration infrastructure, and APIs. You need to own the technical design decisions, set the architectural direction, and ensure the team is building things the right way - not just on time.

You'll report directly to the Director of the Growth Group and work closely with Product, Architecture, and peer engineering leads.

What You'll Do
Lead and Develop Your Team - Manage a team of 7 developers across the AI and Connect domains. Run 1:1s, set clear goals, support growth, and create a culture of ownership and accountability.
Drive Delivery - Own the team's roadmap execution. Ensure features are designed well, delivered on time, and meet a high-quality bar.
Own the Architecture - Lead system and feature design end-to-end. Define the architectural approach, review technical designs, and make sure the team builds solutions that are scalable, maintainable, and aligned with the platform's direction.
Champion AI Innovation - Stay sharp on the latest in LLMs, RAG, and AI tooling. Help the team identify opportunities to push the product forward and maintain our competitive edge.
Collaborate Cross-Functionally - Work closely with Product Managers, other TLs, and stakeholders to align priorities and turn vision into execution.
Raise the Bar - Establish and enforce engineering best practices: code quality, automated testing, CI/CD, and microservices design principles.
Recruit When Needed - Participate in hiring as team needs evolve, and help onboard new team members effectively.
Requirements:
Must-Have:
4+ years of experience in a Team Lead or engineering management role, with a track record of leading developers and delivering production systems.
Strong hands-on background in Node.js and backend development.
Solid understanding of LLM/AI integrations (e.g., OpenAI APIs, prompt engineering, AI-driven features).
Experience with microservices and event-driven architecture at scale.
Strong architectural background - you can design complex systems and lead technical decisions, not just review them.
No hands-on feature implementation expected, but deep enough technical knowledge to own the design layer.
Excellent communication, organizational, and people skills.

Strong Advantage:
Hands-on experience with RAG pipelines, vector databases, and semantic search.
Experience with Workato or other iPaaS / integration platforms.
Familiarity with CI/CD practices and DevOps tooling.
Light coding ability - you don't need to lead features, but the ability to get into the code when it matters is a plus.
Why Join Us?
This position is open to all candidates.
 
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17/05/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
we are looking for a AI Adoption Engineer.
Responsibilities
1. Use Case Discovery & Prioritization
Embed with non-R&D teams (CS, Sales, Marketing, Finance, HR, Operations) to understand workflows and identify where AI creates the highest leverage.
Define and prioritize whats worth building, maintaining a live backlog aligned with VP of AI.
Good discovery is the difference between automation that gets used and automation that gets ignored.
2. AI Tool Development & Delivery (~40%)
Build custom tools, workflow automations, Cowork skills, and AI integrations with existing business systems.
Validate with real users, iterate on adoption signals, and transition stable tools to team ownership.
This role leads by shipping. Working tools - not proposals - are the primary output.
3. Enablement & Adoption
Ensure tools get used: onboarding sessions, playbooks, and hands-on support through behavior change.
Build team confidence and self-sufficiency over time; avoid creating dependency on a single person.
4. AI Landscape Awareness
Evaluate new models, tools, and capabilities for internal relevance and bring what matters back to .
Collaborate with VP of AI to maintain a current roadmap for internal AI operations.
Requirements:
3-5 years in a technical role (engineering, solutions engineering, product, or similar) with demonstrated ability to ship software independently.
Hands-on experience building with LLM APIs (OpenAI, Anthropic, Google, or equivalent).
Strong product instincts - knows whats worth building and can make scope decisions without over-engineering.
Python proficiency: scripting, API integration, automation pipelines.
Experience with workflow automation tools (Zapier, Make, n8n, or similar).
Clear communicator across technical and non-technical audiences; self-directed and comfortable with ambiguity.
Optional / Nice-to-Have":
Experience in digital health, healthcare IT, or a regulated industry.
Familiarity with Claude for Work, Cowork, NotebookLM, or Base44.
Background in solutions engineering, technical consulting, or B2B SaaS product management.
Startup or scale-up experience.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Lead the team building the agentic infrastructure powering Klaudia - our AI SRE. You'll own the architecture, set the technical direction, and push experimental ideas into production.

This isn't a coordination role. You'll be a technical leader who builds alongside your team - setting the bar for architecture quality, driving experimental bets, and turning research into production-grade systems.



What will you do?

Own the agentic infrastructure- You're responsible for the architecture of Klaudia's core - the systems that make autonomous investigation, root cause analysis, and self-healing possible at scale.

Build and grow your team- Hire great engineers, mentor them, run meaningful design reviews, and build a culture of high ownership and engineering excellence.

Drive experimental development- Run structured bets - LLM evaluation frameworks, new agent architectures, novel tool-use patterns - and bring the best ones to production.

Stay hands-on You'll design systems, review PRs critically, and write code where it matters. Your technical credibility is the foundation of your leadership.

Shape our AI strategy- Work closely with product and R&D leadership to define what Klaudia becomes next.



Why this role rocks?

Category-defining work- AI SRE is the hottest space in cloud infra. You'll be leading the team that defines what it means - not catching up to anyone.

Real autonomy- You'll set the technical roadmap for Core. No pre-solved problems handed down to you - you decide what gets built and how.

Build something that lasts- Hire and shape a team from an early stage. Your engineering culture decisions here will compound for years.

Serious engineering culture- High bar for craft, strong team around you, and leadership that respects technical depth over process theater.
Requirements:
Proven tech leader- 8+ years of backend engineering experience, including at least 2 years in a tech lead or team lead capacity. You've owned systems end-to-end, not just delivered tickets.

Proven ability to build teams- You've hired engineers you're proud of, mentored people to grow beyond where they thought they could, and created an environment where ownership is the default.

Deep experience with distributed systems- Concurrency, reliability, observability - you design for failure, not around it.

Experience building with AI-assisted tools- (e.g Cursor, Claude Code, etc.) You treat these as serious multipliers, not toys.

Strong communicator- You can hold a design review, align with product leadership, and explain a tricky architecture decision to an engineer in their first week - all with the same clarity.

Comfortable with open-ended problems- You enjoy tackling challenges that don't have a simple one-prompt AI answer - where the path forward requires judgment, not just execution.
This position is open to all candidates.
 
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26/04/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Head of AI Transformation & Business Systems.
As the Head for AI Transformation & Business Systems, you will be responsible for the technological realization of departmental roadmaps. Your primary objective is to act as a force multiplier by translating high-level business requirements into scalable AI solutions. Collaborating directly with the Chief of Staff, CISO and Global departmental leads, you will apply your expertise in Information Systems and Operational Excellence to re-engineer manual processes into a seamless, automated, and AI-integrated ecosystem
Key Responsibilities:
AI-First Roadmap & Implementation
Business Discovery & Analysis: Develop deep understanding of internal systems, business processes, and KPIs to translate business needs into technical execution.
Technical Translation: Convert business requirements into scalable solutions, including:
Automation: End-to-end automation (leveraging ).
Data Architecture: Design data flows, ETL processes, and cross-system enrichment.
AI Agents & Transformation: Deploy AI agents and lead AI transformation initiatives, including observability, monitoring, and control frameworks (Agent Monitoring & Control). Implement Vibe Coding workflows (internally or via department-led development standards).
Project Management: Own the full lifecycle of technical initiatives - from scoping and milestones to execution, reporting, and stakeholder communication.
GTM Optimization: Partner with Sales, Marketing, and RevOps to automate workflows, improve data enrichment, and adapt systems to evolving business needs.
Ethical Oversight: Ensure responsible AI development aligned with company policies and ethical standards.
Team Leadership: Lead and mentor an AI Engineer focused on roadmap execution.
Application Ecosystem & Optimization
SaaS Optimization: Audit and rationalize the SaaS ecosystem to reduce redundancy, improve architectural alignment, and enable reliable cross-functional workflows.
Vendor Governance: Act as the technical authority for SaaS/service onboarding alongside Legal, IT, and Security. Evaluate tools based on ROI, effectiveness, and overlap, and manage the full vendor lifecycle.
Security & Identity: Oversee integration security, including Non-Human Identities (NHI), service accounts, and access governance.
System Integration: Lead vendor onboarding to ensure seamless integration, architectural consistency, and security compliance.
Compliance & Governance: Implement frameworks for data protection and regulatory best practices.
Requirements:
7+ years of experience working with enterprise applications in high-growth technology company, with Proven experience in Information Systems (IS) Operations or a similar technical-operational role.
AI Proficiency & Mindset: Deep understanding of AI Agents, Prompt Engineering, LLM integration, and automation platforms.
Ability to understand complex business KPIs and translate them into technical architecture.
Experience in vendor management and SaaS ecosystem optimization.
Experience leading technical team members and managing cross-departmental projects with multiple stakeholders (GTM, Legal, Security, Ops).
Familiarity with data flows, ETL, API integrations, and modern development trends (e.g., Vibe Coding).
Excellent communication skills with the ability to translate AI capabilities into business value.
Passion for AI innovation and staying at the forefront of emerging technologies, with the ability to evaluate, adopt, and drive cutting-edge solutions within the organization.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8624179
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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 youll 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
Requirements:
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
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8659024
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
03/05/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior AI Engineer to join a strong and dynamic AI Engineering team. We are the focal point for AI initiatives, striving to constantly bring innovation and leverage AI capabilities across all company teams and products.
Today, AI is central to how we operate, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical Forterians to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company.
If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.
Why should you join us?
This is a great opportunity to be at the cutting edge of the AI revolution, helping to shape and build the AI platform for the future. Together, well build infrastructure for autonomous and interactive agents, enact AI guardrails and evaluation frameworks to ensure performance and safety, and implement state-of-the-art
AI and Agentic patterns.
This role presents a unique opportunity to enter the AI domain. For those with some experience in AI infrastructure, it offers the chance to grow within a team that is evolving us from the AI experimentation phase to building and leveraging AI-powered products.
What you will be doing:
Design, build, and maintain reusable AI capabilities - including models, tools, APIs, and platforms that power both internal and customer-facing solutions.
Develop and maintain our internal MCP server that easily and securely exposes our vast data stores to AI agents.
Create and implement robust evaluation frameworks and AI guardrails to safeguard our value and ensure model reliability.
Establish deep expertise and sustainable AI engineering practices.
Promote AI readiness and track adoption across the company to build lasting impact.
Build and optimize RAG (Retrieval-Augmented Generation) systems.
Take full ownership of projects: from gathering requirements from non-technical internal users to development, deployment, and operation.
Act as a consultant and advocate for AI engineering, helping other teams leverage the platforms and tools you build.
Partner with teams across to accelerate AI adoption and productization efforts.
Requirements:
Who are you?
5+ years of strong backend and server-side development experience, building complex, highly scalable systems.
Proven experience with at least one general-purpose language (preferably Python, but not a must).
Strong product management skills, with the ability to gather and refine requirements from non-technical internal users.
A strong sense of ownership, with some DevOps experience and a willingness to develop, deploy, and run projects end-to-end.
Strong familiarity with AI coding tools like Copilot, Cursor, or similar.
Experience working with public clouds (AWS / GCP / Azure).
Fluent in written and spoken English.
Itd be really cool if you also:
Are familiar with agentic coding tools like Claude code or Copilot CLI.
Have familiarity with Strands Agents (or similar agentic technologies), RAGs, and Bedrock.
Have experience with MCP (Model Context Protocol).
Are comfortable in a containerized environment.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8633525
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