לוח משרות דרושים הייטק AI במרכז

We're looking for a passionate and ambitious Product Manager to help shape the future of AI. You'll play a crucial role in translating Apollo's advanced capabilities into market-ready products and features.

## **What You'll Do:**

- Lead product strategy and innovation, bridging the gap between Apollo's technical capabilities and market needs
- Define product roadmaps and prioritize features that leverage Apollo's unique neuro-symbolic architecture
- Collaborate with research, engineering, and business teams to bring AI-powered products to market
- Gather and analyze user feedback to continuously improve our products
- Stay abreast of AI industry trends and competitive landscape
- Become an expert in Apollo's capabilities, including fine-tuning for agents and tool use

Required Staff Software Engineer, AI
Company Overview
We are the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
Come join the team as a Staff AI Engineer.
Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all our products.
You will utilize your skills to help develop and maintain backend services leveraging AI and machine learning models, using both analytical algorithms and deep learning approaches, to acquire data from financial institutions on behalf of our users.
Responsibilities:
Lead and apply best practices in AI driven software lifecycle management, from ideation, through development and evaluation to production deployment.
Build a backend service with AI in its core at scale (millions of users and requests daily)
Collaborate with stakeholders to define success criteria and align model metrics with business goals
Work side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use cases
Explore the state-of-the-art technologies and apply them to deliver customer benefits

We are seeking a AI Security Researcher to join AI Adversarial Robustness Research (A2RS), a multidisciplinary team focused on securing AI and GenAI models and systems.
Were looking for innovative team players who love new challenges, enjoy cracking tough problems, and thrive in cross-functional environments.
In this role, you will partner with data scientists and security researchers to define how we secure AI applications.
Responsibilities
Research AI and GenAI systems from a security perspective to understand when and how they are vulnerable to a variety of threats
Blue team: Explore innovative ways to enhance the security of AI systems
Red team: Analyze the attack surface of state-of-the-art AI technologies
Center of Excellence: Collect and synthesize research literature and open-source tools to build and maintain a robust knowledge base for adversarial robustness of AI systems
Distill and share AI security knowledge within and externally through seminars, blogs, papers, and conference talks
We encourage you to apply if you
Are passionate about exploring the field of AI security
Are a seasoned security researcher who enjoys both red team and blue team work: performing threat analysis, discovering new attack vectors, and designing mitigations
Have a strong AI background (well beyond prompt engineering) and a passion for math and algorithms
Learn quickly and thrive in uncharted technical territories
Love to gain, share, and build knowledge.

Were looking for a hands-on, entrepreneurial Team Lead to take full ownership of Ollys knowledge systems and build one of the most critical pillars of the product.
Responsibilities:
Technical and managerial leadership of the Knowledge team
Designing and building production-grade knowledge systems at scale
Making architectural decisions and tradeoffs
(LLMs vs embeddings vs heuristics, online vs offline computation, cost vs latency)
Driving research, experimentation, and innovation around what knowledge means for AI Agents
Hiring, interviewing, mentoring, and growing the team
Working closely with Agent, Platform, and Product teams

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

Required AI Product Manager
Tel Aviv, Israel Full-time
About The Position
A global e commerce company with multiple brands, millions of customers, and an in house platform we built from the ground up. We need a Product Manager first: someone who can own a roadmap, obsess over funnels, run tight sprints, and ship features that move the needle.
But we also need that PM to be AI native. AI isnt a buzzword to us. Its an operating system upgrade for how we build products, make decisions, and ship. So were looking for a PM who doesnt just use AI tools but thinks in AI. Someone who wakes up excited about whats newly possible, and goes to sleep prototyping it. If youre still debating whether its a fad, this role is not for you.
Responsibilities
Own the Product, End to End:
Define, prioritize, and drive the storefront platform roadmap. You own the why and the what, and you fight for what matters most.
Write clear product requirements, user stories, and acceptance criteria that engineering can actually build from. No hand waving.
Run the full product lifecycle: discovery, definition, development, launch, and iteration. Youre accountable for outcomes, not just output.
Maintain a deep understanding of the e commerce funnel. You live and breathe conversion rate optimization, and you know which levers actually move revenue.
Collaborate with the data team to monitor key performance metrics, design experiments, and make decisions grounded in evidence, not gut feeling.
Supercharge It All with AI:
Use AI and vibe coding to rapidly prototype ideas, validate concepts, and build functional proofs of concept before a single engineering sprint is planned. You dont wait for specs to be approved; you show up with a working demo.
Identify and drive AI powered product features across the customer journey, from AI driven discovery and exploration, to personalized recommendations, smart search, and dynamic content generation.
Continuously evaluate and integrate new AI capabilities into our products. Youre the person who finds the new tool on Tuesday and has it in production by Thursday.
Lead Across Teams:
Work with R&D to facilitate idea to delivery with AI flows. You should be pushing PRs in no time.
Champion the integration of AI across product workflows, not just in the product itself, but in how we build, test, and iterate as a team.
Collaborate cross functionally with marketing, design, and business stakeholders. Translate their needs into product specs, and then surprise them by shipping faster than they thought possible.
Facilitate seamless feature rollouts and integrations, aligning efforts between R&D, marketing, and customer facing teams. Youre the glue that keeps everyone moving in the same direction.

We are looking for a Junior AI Agent & Process Automation Analyst to join our Finance team and support a new initiative focused on mapping finance processes and embedding AI agents where they can add value. The role focuses on building autonomous AI agents that can understand their environment, use tools, and execute actions independently within defined finance processes.
Key Responsibilities
Map and document end-to-end finance processes in collaboration with Finance stakeholders.
Identify repetitive or manual finance processes with potential for AI agent automation.
Build and test AI agents that can autonomously perform defined finance-related tasks.
Configure agents to use tools such as APIs, internal systems, and data sources.
Validate outputs, monitor performance, and improve agent reliability over time.
Document agent logic, behavior, and learnings and share with stakeholders.

Were hiring an AI Engineer for our AI Core team to build and scale AI across products and workflows, from agentic document understanding to multi-agent systems and ML solutions. This is a hands-on, cross-functional role where youll prototype quickly, build robust evaluations, and ship production-grade AI with measurable business impact.
What youll do:
Build and ship AI/ML solutions using LLMs, agents, retrieval patterns (RAG), and document understanding models, alongside classic ML (classification, ranking, time-series).
Prototype and iterate quickly: turn ideas into high-quality POCs, validate feasibility, and evolve them toward production.
Shape technical direction and evaluate models and approaches using clear benchmarks, metrics, and real-world impact measurement.
Research and apply emerging techniques, e.g., multimodal/document AI, agentic frameworks, synthetic data generation, and architectural approaches.
Partner closely with product, engineering, and domain experts to identify opportunities and deliver end-to-end solutions.
Help shape scalable, secure architecture and best practices for AI delivery.
Location: Herzliya | Hybrid work model

We are looking for an AI-first Software Engineer who is highly product-oriented and excited about building customer-facing systems using modern AI tooling to dramatically increase development speed and operational automation.
What youll do?
Build and ship end-to-end product features (backend, frontend, integrations, automation).
Use AI tools and build the AI infrastructure to accelerate development through scalable workflows, including multi-agent approaches.
Build AI agents that fully automate customer-facing sales and service flows, in a business with a massive volume of textual interactions.

We are looking for an AI Enablement Tech Lead to lead the development of AI-native data capabilities and drive the adoption of AI across analytics workflows.
This role is part of the Analytics & AI Enablement group within the data department and is responsible for establishing the foundational data and AI capabilities that support advanced use cases, including chat with data, autonomous analytics, and AI-driven decision-making.
You will act as a technical and strategic bridge between data, engineering, and AI platform teams - owning the design of AI-ready data layers, and taking a significant part in the specification and orchestration of data-ready agent solutions and analytical workflows, from ideation to production.
You are a hands-on builder and a transformation leader, with proven experience delivering AI solutions and a strong foundation in data and analytics.
Hybrid
Full-time
What youll do: 
Define and build AI-ready data foundations, including semantic layers optimized for LLM and AI consumption
Design and standardize AI-native analytics workflows, combining data modeling, LLMs, and orchestration frameworks
Partner with Data Engineering and AI platform teams to shape infrastructure, tooling, and data interfaces for AI use
Drive experimentation with new AI capabilities and rapidly iterate from POC to scalable solutions
Establish best practices for AI usage in analytics, including prompt design, evaluation, monitoring, and governance
Act as a technical leader and mentor, driving AI knowledge and adoption across the analytics community.

- Drive technical decisions around AI evaluation frameworks, monitoring, and observability tools
- Design, build, and deploy AI-powered solutions across yad2s products and platforms
- Work hands-on with Large Language Models (LLMs), retrieval-augmented generation (RAG), embeddings, vector databases, and prompt engineering
- Develop scalable backend services that integrate AI capabilities into production
- Collaborate closely with product, data, and engineering teams to identify high-impact AI opportunities
- Lead by example: write clean, high-quality code, set best practices, and help shape the foundation of the AI team

We are looking for an experienced AI Automation Expert who will design, build, and maintain advanced AI driven workflows, internal agents, and process automations across the organization.
The ideal candidate has hands on experience with automation platforms such as n8n, Zapier or Make, strong technical understanding of modern AI models and APIs, and a proven record of translating business needs into scalable automated solutions.
This position plays a central role in our digital transformation efforts. You will be a partner with operations, support, engineering, and business leadership to streamline processes, reduce manual workload, and accelerate delivery through smart automation.
Responsibilities:
AI and Automation Architecture
Design and implement AI powered automations, including conversational agents, workflow orchestrations, and custom business logic.
Build and maintain automations using n8n, Flowgrammers, and similar workflow tools.
Create structured agent architectures using LLMs, vector databases, and contextual memory.
Develop and maintain reusable automation components and templates.
Process Design and Optimization
Map and analyze existing processes together with relevant stakeholders.
Identify opportunities for automation and propose clear technical solutions.
Implement end to end workflows from data ingestion to final output and quality control.
Ensure security, reliability, and compliance in all automated processes.
Systems Integration
Connect internal systems such as CRM, ERP, customer support tools, databases, and cloud platforms to automation workflows.
Integrate external APIs including OpenAI, Azure OpenAI, Google Cloud, or vendor specific APIs.
Build bridges between systems that were not originally designed to work together.
AI Agent Development
Design and deploy specialized agents for operations, sales, customer support, and engineering teams.
Implement context awareness, memory persistence, and custom tool calling for agents.
Optimize agent performance, latency, and accuracy.
Monitoring and Maintenance
Create dashboards and alerting for workflow health and performance.
Troubleshoot failures, scalability issues, and data inconsistencies.
Continuously improve existing automations based on usage and feedback.

: Were looking for a hands-on AI Cyber Intelligence Engineer - in the domain of attack surface. Someone who lives and breathes cyber security, loves exploring how attackers move through real environments, and is excited to shape how AI can automate and extend that process.
In this role, youll analyze real-world environments, identify potential attack vectors, and work closely with our AI engineering teams to translate your domain expertise into actionable, intelligent workflows. Youll play a key role in guiding how our platform learns to think and act like a top-tier security analyst.
The Dream-Maker Responsibilities
Design and shape AI-driven security agents by encoding expert attacker and defender reasoning into agentic flows, prompts, decision logic, and investigative strategies.
Translate offensive security and red-team expertise into structured knowledge that enables AI systems to identify, prioritize, and reason about real-world attack paths in complex enterprise environments.
Model attacker behavior and multi-step attack scenarios, focusing on lateral movement, privilege escalation, and cross-domain exploitation - and guide how AI agents simulate and evaluate these scenarios.
Act as a domain expert partner for product and engineering teams, ensuring AI-driven security decisions remain grounded in real attacker tradecraft and operational reality.

Were looking for a Senior Program Manager to own the execution of our Sovereign AI roadmap end-to-end. Youll sit within the Product group and act as the connective bond between Data Science, Engineering, and Product - making sure complex, cross-functional initiatives ship on time and at the quality bar our customers expect.
If you are an unblocker, enjoy making tough tradeoff calls, and drive accountability across the board, your place is with us. Youll manage multiple parallel workstreams across verticals (Security, Health, AML, and more), platform, and AI/ML domains- and youll be the person everyone relies on to know and manage where things stand and what is about to happen next.
The Dream-Maker Responsibilities
Own and manage the full lifecycle of Sovereign AI projects from planning through delivery. Track milestones, dependencies, and risks across multiple concurrent workstreams.
Drive cross-functional alignment, and work daily with Data Science, Engineering, Product, and Design teams to ensure same direction. Break down silos and surface early mitigation.
Maintain clear, accurate visibility into project status, blockers, and timelines. Communicate proactively to stakeholders and management.
Identify and solve risks, by own and drive resolution.
Work closely with senior leadership and domain leads to ensure roadmap priorities reflect strategic goals.
Translate execution-level realities into clear decision points - when tradeoffs need to be made, you frame the options and drive alignment.
Interface with internal leadership and external government stakeholders to align on scope, timelines, and priorities. Keep information flowing in both directions.
Continuously refine processes, rituals, and tools to make the team more effective without introducing unnecessary overhead.