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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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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Hands-On Agentic AI Engineer to join a new team focused on applying AI agents and intelligent workflows to improve business processes across the organization.
The ideal candidate is someone who enjoys building real-world AI-driven solutions end-to-end - writing code, designing architectures, building prototypes, solving implementation challenges, and working directly with business stakeholders to turn process opportunities into working AI solutions.
Responsibilities:
Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots)
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
Governance, Reliability & Security
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners and IS teams to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.
Requirements:
2-3 years of proven experience with AI solutions
Strong hands-on software development experience, including writing, maintaining, and delivering production-quality code
Strong GenAI development experience with LLMs, SLMs, prompt engineering, context engineering, and agent-based systems
Strong Python skills and a production-focused engineering mindset
Experience designing and building agentic AI workflows, RAG pipelines, LLM-powered applications, copilots, or intelligent automation solutions
Experience bringing AI agents, GenAI applications, or automation solutions into production
Solid understanding of APIs, integrations, databases, cloud environments, monitoring, logging, security, and deployment practices
Ability to work directly with non-technical stakeholders and translate business needs into technical solutions
Experience with AWS AgentCore, n8n, UiPath, Make, Workato, or similar is an advantage
Experience with enterprise AI governance, security, compliance, and privacy requirements is an advantage
Strong builder mindset: proactive, independent, hands-on, business-oriented, and impact-driven.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a hands-on Agentic AI Engineer to build practical, high-impact AI solutions that transform how our teams operate.
This is not a research role. Youll design and ship real AI systems that improve workflows across Sales, Marketing, HR, and Operations - building custom solutions where off-the-shelf tools fall short.
If you enjoy turning messy business problems into production-ready AI systems using LLMs,SLMs, agents, and smart data pipelines - this role is for you.
Responsibilities:
Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots) using frameworks like LangGraph / LangChain
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
Governance, Reliability & Security
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.
Requirements:
3 years of hands-on software development experience, including writing, maintaining, and delivering production-quality code
2+ years of GenAI development experience, with strong AI/ML focus - MUST
Strong Python skills and production mindset - MUST
Hands-on and deep understanding with LLMs, SLMs, prompt engineering, context engineering and agent-based systems
Experience with LangGraph, crewAI, Strands or similar orchestration frameworks
Experience in enterprise grade agentic solutions and bringing Agents into production
Experience in AWS Agent Core - Advantage
Solid understanding of ML workflows and MLOps principles
Strong analytical skills and ability to work directly with non-technical stakeholders
Builder mindset: proactive, independent, and impact-driven
Experience with Agentic AI driven applications like n8n, UiPath, Make -Advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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לפני 10 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a AI Backend Engineer.
As the AI Backend engineer , you will join a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. Youll utilize technical skills to drive innovation, ensure delivery of high-impact projects, and scale our data-driven capabilities across the organization.
This role requires both strategic thinking and hands-on expertise. Youll be responsible for shaping the data science roadmap, mentoring a growing team, and collaborating with product, engineering, and business stakeholders to translate business challenges into practical machine learning solutions.
What youll do:
Design, develop, and maintain backend services for AI agents and tool integrations using latest technologies
Build scalable APIs and microservices that interface with LLMs and AI frameworks
Implement agent orchestration systems, tool calling mechanisms, and workflow engines
Optimize performance and reliability of AI-powered applications at scale
Develop data pipelines for training, evaluation, and monitoring of AI systems
Integrate with various LLM providers (OpenAI, Anthropic, etc.) and manage API interactions
Requirements:
Excellent coding skills in Python/TypeScript, with at least 5 years of hands-on experience building reliable backend services, agents and tooling. Familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) is a strong advantage.
Experience designing, deploying, and maintaining production systems that integrate ML components, including APIs, microservices, model serving layers, feature pipelines, monitoring, and CI/CD/MLOps workflows.
Solid experience with AI related contexts Understanding of prompt engineering and LLM optimization techniques, RAG architecture
Solid understanding of distributed systems concepts, performance optimization, observability, and operating services at scale.
Strong communication skills, with the ability to bridge technical, product, and business perspectives.
Prior experience in cybersecurity, fraud prevention, or identity management is a plus, especially with secure system architectures or ML-augmented decisioning systems.
Advantages
Experience integrating with LLM APIs (OpenAI, Anthropic Claude, etc.)
Experience with agent frameworks (LangChain, LlamaIndex, AutoGPT)
Background in ML/AI concepts and model deployment
Experience with message queues (RabbitMQ, Kafka) and event-driven architectures
Experience with function calling and tool use patterns in LLMs
This position is open to all candidates.
 
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2 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Software Engineer - Data Operations Platform to join our Data Operations team and help build the internal systems and platforms that power our data workflows at scale.

This is a unique opportunity for an early-career engineer who enjoys solving practical problems, building impactful tools, and working closely with data, AI, and operations teams. In this role, youll design and develop scalable internal platforms, automation systems, and AI-driven workflows that support large-scale data operations, including tooling for computer vision workflows, automated QA systems, taxonomy management, and database navigation tools used daily across the company.

As part of a fast-moving startup and an industry leader in AI-driven creative analytics, your work will have a direct impact on engineering efficiency, workflow automation, system scalability, and data quality.



Key Responsibilities

Design, develop, and maintain internal tools and systems that support Data Operations workflows.
Build scalable automation systems for QA processes, taxonomy applications, and large-scale data handling.
Collaborate closely with Data, AI, Product, and Operations teams to solve practical business and operational challenges.
Write clean, maintainable, and reliable code with a strong focus on usability, scalability, and efficiency.
Improve internal workflows by identifying bottlenecks and building scalable solutions.
Work with databases and data pipelines to support operational and analytical needs.
Troubleshoot issues, optimize existing tools, and continuously improve system reliability and performance.
Contribute ideas, experiment with new technologies, and help improve developer workflows and internal processes.
Requirements:
1-2 years of software engineering experience.
Strong programming fundamentals and problem-solving skills.
Comfort working with data-intensive systems and operational workflows.
Experience with Python, automation scripting, SQL, and relational databases.
Exposure to AI tools, computer vision, machine learning workflows, or data pipelines - a plus.
Experience building internal tools, platforms, or automation systems - a plus.
Pragmatic, proactive, and adaptable mindset with a strong sense of ownership and execution.
Curiosity about data operations, AI workflows, and internal tooling in a fast-paced startup environment.
Strong written and verbal communication skills in English.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
At our company, we build AI-powered vision systems that enhance safety and decision-making for some of the worlds largest vessels.
Our platform processes live video streams from multiple onboard cameras to provide real-time situational awareness, detecting and tracking marine objects, even in low visibility and highly congested environments. These systems directly support navigational decisions and help prevent collisions, reduce human error, and improve operational efficiency.
Our systems are already deployed across thousands of vessels and have processed hundreds of millions of nautical miles of real-world data, operating in unpredictable and safety-critical conditions.
This role sits at the intersection of AI and high-performance systems engineering, focused on solving real-world problems under strict constraints. You will work on systems where performance and reliability are critical and where improvements have a direct, measurable impact on real-world safety.
This is a senior, systems-focused role with end-to-end ownership over performance and reliability of production computer vision pipelines. You will define optimization strategies, identify bottlenecks across the system, and drive improvements under real-world constraints.
What youll do
Build and optimize real-time computer vision pipelines running on edge systems processing live maritime video streams (e.g, NVIDIA Jetson, Triton Inference Server)
Take models from research and turn them into production-ready, reliable components deployed on vessels
Profile and improve end-to-end system performance across: multi-camera video ingestion; preprocessing; inference; postprocessing
Identify and resolve bottlenecks across CPU, GPU, memory, and pipeline coordination
Make and justify tradeoffs between latency, accuracy, stability, and resource utilization
Design and implement robust data and inference pipelines (video -> model -> actionable output for crew)
Develop benchmarking and evaluation workflows to measure performance end-to-end and support release gating
Build and improve observability tools, including logging, monitoring, and debugging workflows for production systems
Define and maintain clear interfaces between research code and production systems
Work closely with research and backend teams to integrate new models into production systems
Continuously improve system efficiency and reliability under hardware and runtime constraints.
Requirements:
5+ years of software engineering experience, with a strong focus on systems and performance
Hands-on experience working with computer vision or deep learning systems in production
Strong programming skills in Python and/or C++
Experience working with edge or embedded systems (e.g., NVIDIA Jetson platforms)
Strong understanding of system bottlenecks, including CPU, GPU, memory, and latency constraints
Strong intuition for profiling-driven optimization and performance tuning
Experience debugging complex systems and reasoning about behavior in real-world, noisy environments
Strong advantage
Experience working with edge or embedded systems
Experience working with custom high-performance data or inference pipelines
Familiarity with multi-sensor fusion (e.g., combining vision with radar or other signals)
Experience deploying and maintaining ML models in production environments
Experience with low-level optimization and/or C++ performance tuning
Proven experience optimizing model inference (e.g., TensorRT, ONNX Runtime, quantization, pruning, or similar techniques).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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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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הגשת מועמדותהגש מועמדות
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7 ימים
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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הגשת מועמדותהגש מועמדות
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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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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8647330
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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 :)
3 ימים
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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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8654056
סגור
שירות זה פתוח ללקוחות VIP בלבד
סגור
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 :)
13/04/2026
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 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 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 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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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8608569
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