דרושים » AI » Senior Product Manager - AI Models

We are looking for a driven and experienced leader to manage a growing interdisciplinary team of LLM Agentic AI Researchers, Computational Biologists, and Immunologists. This teams mission is to build a cutting-edge agentic reasoning system powered by Large Language Models (LLMs), capable of generating structured, biologically grounded sequential explanations based on predictions from proprietary foundation model-trained on hundreds of millions of immune cells. The product the team builds is a pillar of AI strategy, with the potential to redefine the way a drugs mode of action is understood.

Location: Ramat Gan, Israel (hybrid model)

What You'll Do:

Set the Vision - Collaborate with product leadership to transform bold ideas into AI capabilities that impact real-world medical decisions.
Build and Lead the Team - Coach, build and inspire a high-caliber team across LLMs, data science, and Immunology. Cultivate a culture of excellence, curiosity, and execution.
Drive Innovation - Lead from the front-design architectures, write prototypes, and guide technical direction. Lead the team in building agents that reason about biological systems at scale.
Ship Transformative Products - Deliver AI products & solutions that move the needle and its partners - from static biological associations to dynamic, explanatory models of causality.
Showcase Leadership - Represent the team in top-tier scientific conferences and publications, communicating groundbreaking research to the world.

We are looking for an AI Engineer to play a central role in building, evaluating, and advancing Immunais AI models. You will own and evolve Immunais benchmarking and evaluation capabilities for foundation models and multimodal systems, while also working closely with modeling teams to support model development, iteration, and validation. This role sits at the intersection of software engineering, model understanding, and applied AI, with broad influence on how models are built, compared, and improved across the organization.

Location: Ramat Gan, Israel (hybrid model)

What will you do?

Own & Evolve Benchmarking - Design, build, and maintain Immunais benchmarking suite for foundation models and multimodal AI systems.
Define Core Abstractions - Create clean, extensible abstractions and APIs for datasets, tasks, models, metrics, and evaluation workflows.
Develop Metrics & Evaluations - Implement metrics that capture predictive performance, biological relevance, and multimodal alignment.
Support Model Development - Work closely with AI scientists and data scientists to integrate new models, tweak architectures, and enable rapid, fair iteration.
Bring in New Models & Baselines - Add external and internal models to benchmarks and ensure meaningful comparisons.
Explore Data When Needed - Dive into data and results to debug evaluations, understand model behavior, and unblock modeling work.
Enable Rigor & Reproducibility - Ensure evaluations are consistent, well-versioned, and trustworthy over time.

What We Are Looking For As a VP of AI Security Research you will lead, scale, and inspire multi-disciplinary teams focused on red teaming, sandboxing, adversarial testing, developing red-teaming engines, and guardrail protections for GenAI models and agentic AI systems. In this high-profile role, you will work closely with security research, product, engineering, and compliance teams to shape and deliver the next generation of AI cybersecurity solutions, while combining strategic vision with execution to effectively safeguard LLMs and agentic AI deployments at scale. Key Responsibilities
* Building and scaling global AI security teams, while providing mentorship to senior managers and fostering an innovation-driven security culture.
* Overseeing advanced adversarial evaluations for GenAI models, agentic AI, and multi-agent (A2A) systems, and delivering executive-level threat intelligence and risk assessments to inform corporate AI strategy.
* Defining and implementing AI red-teaming frameworks aligned with OWASP AI Security guidelines, MITRE ATLAS, and NIST AI RMF, and operationalizing automated red-team engines to continuously stress-test models at scale.
* Partnering with product and engineering to design and deploy enterprise-ready AI guardrails, including policy enforcement layers, monitoring pipelines, and anomaly detection systems – and championing secure deployment practices for GenAI (including agent orchestration via MCP and A2A workflows).

About Alice:
Alice is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world’s largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, Alice empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, Alice enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.

Hybrid:
Yes

Alice partners with the world’s leading AI labs to deliver best-in-class model assurance, red teaming, evaluations, and post-training data programs. We’re looking for a Technical Engagement Lead to guide the technical success of these strategic customers. In this role, you’ll be the key technical counterpart to frontier-model teams—helping them design, structure, and execute complex AI safety programs. You won’t be building prompts or running evals yourself; instead, you’ll lead the technical architecture and orchestration of our work, ensuring quality, coherence, and impact across multiple workstreams. You’ll work hand-in-hand with a Senior Account Manager, delivery teams, researchers, and product leaders to help GenAI customers push forward safely and responsibly. What You’ll Do
* Serve as the primary technical partner for leading LLM labs and GenAI-native organizations
* Translate customer goals into structured evaluation, red teaming and data programs
* Design engagement architectures across multiple parallel contracts and initiatives
* Ensure technical excellence and consistency in all deliverables
* Lead technical discussions with research, safety, and product teams
* Identify risks, dependencies, and evolving needs early, and drive resolution
* Stay ahead of emerging evaluation methodologies, safety approaches, and model risk trends
* Partner internally with Delivery, Research, Product, and Account Manager to ensure seamless execution
Why Alice Work with the world’s leading AI labs
* Help shape the safety and trustworthiness of next-generation AI models
* Join a mission driven, high performing team
* Enjoy opportunities for growth and professional development in a cutting-edge field.
The salary range for this role is $150-200K OTE and stock options - Range may vary based on experience. Salary at the time of offer will be commensurate with experience.

About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact—whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.




Hybrid:
Yes

We're seeking an exceptional AI Engineer to play a central role in our AI Engineering Group. This is an opportunity to join our strong AI group, with a specific focus on Angie - our comprehensive chat agent that's revolutionizing website building and management.
In this role, you'll be at the leading LLM based technological exploration, utilizing a diverse array of tools and advanced technologies. Your mission? To apply cutting-edge AI technologies, to architect and deploy solutions that aren't just high-performing; they're revolutionary. You'll develop systems that cater to our extensive user base (currently 100K+ active users), ensuring that every interaction with our platform reflects our commitment to excellence. If youre enthusiastic about AI and you breathe Agents, MCP, Prompt Engineering, and all the goods of the new world, your place is with us.
About Angie: An Agent-based operating system for website creation and management. Currently in its scaling phase with rapid development cycles, Angie is designed to perform complex operations, such as vibe coding, content generation, bulk actions, error checking, and more.
Work Environment
What do we do:
This is where web creation happens for real.
We are a multi-product platform powering over 13% of the internet.
Our products give millions of web creators: developers, designers, and marketers - everything they need to build, scale, and succeed.
From Israel to more than 160 countries, a new website goes live with us every 10 seconds.
How do we do it:
By staying AI-first, data-driven, and human-led.
We build real products that deliver real value, and we do it together.
Ceativity, fast feedback, and open collaboration shape everything we do.
You will find good energy and people who genuinely care about the product, the users, and each other.
It is a place to grow, make an impact, and help shape the future of the web.
Responsibilities
Play a key role in defining our developing AI strategy, particularly around Angie's evolution
Gain a deep understanding of the various product lines, with an emphasis on incorporating AI wherever possible to unlock new business frontiers
Pioneer new developments, from both a technological and a business perspective
Test emerging AI abilities, incorporating them into our existing and new services, delivering high-quality products while applying engineering best practices and standards
Oversee end-to-end development, from ideation to production, while working closely with multiple company stakeholders
Work alongside a dynamic team of domain experts who are passionate about technology and making an impact
Thrive in a fast-paced environment with frequent changes and the exciting challenges of scaling a new product
Continuously expand and enhance the AI capabilities of our products, identifying opportunities to integrate new AI features that deliver meaningful value to users.

What We Are Looking For As a GenAI Security Team Lead, you will lead a team of GenAI researchers, combining both strategic and hands-on, big-picture planning with direct technical contributions. Your primary responsibility will be managing a GenAI-focused team, while fostering a culture of innovation and excellence, providing comprehensive training, guidance, and leadership while ensuring high-quality deliverables. The position balances managerial responsibilities with hands-on technical work (approximately 25%) Key Responsibilities
* Recruit, mentor, and manage a team of GenAI researchers
* Regularly share knowledge with team members and collaborate across departments
* Evaluate and enhance team performance and deliverables quality
* Lead development of automated test harness, continuously evaluating prompts across multiple GenAI models to expose vulnerabilities and measure guardrail effectiveness.



About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact—whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.

We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within as part of our business-facing technology organization.
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

We are seeking an Analytics Functionality Analyst to join our Analytics engineering group. In this role, you will serve as a crucial partner to the Product Manager, facilitating the translation of complex analytics into actionable steps for functional software delivery. This hybrid position combines robust analytical skills with a keen understanding of engineering processes, allowing the Product Manager to focus on the strategic what and why, while you ensure clarity on the operational how.
What youll do:
Feature Translation: Convert high-level analytical concepts and product features into clear, functionally defined user stories that capture algorithmic and statistical nuances for the engineering team.
Collaboration with Engineering Teams: Work closely with developers and data scientists to assess feature feasibility, identify edge cases, and establish thorough testing and validation criteria within the engineering environment.
Customer Engagement: Participate in technical discussions with customers, especially when deep modeling insights or analytics expertise are required, to gather feedback that informs engineering decisions.
Documentation Authority: Own the documentation of analytics functionality, positioning yourself as the internal authority on modeling logic and assumptions, thereby ensuring consistency and clarity across engineering projects.
Support Engineering Testing: Drive the testing and validation of implemented models and features, ensuring they function as expected from an analytics perspective and contributing to overall product quality.

We are looking for an AI Product Director to own execution across Coralogixs AI initiatives. This role sits directly under the VP of AI and is responsible for translating product vision into fast, high-quality, customer-validated delivery. This is hands-on execution leadership role.
You will manage and mentor PMs, work closely with Engineering and Design, validate quality before features ship, and maintain a tight feedback loop with customers. Your success will be measured by speed, clarity, and outcomes - not by roadmaps or meetings.
We are looking for someone with a strong eye for user experience and interaction design, with hands-on experience shaping user flows and crafting products that look great and feel effortless to use.
What Youll Do:
Own End-to-End Execution
Take high-level product vision and turn it into concrete, shippable work
Break down ideas into: clear scopes, Milestones, acceptance criteria
Drive delivery from concept → build → validation → release
Lead & Elevate Product Management
Directly manage and mentor junior PMs
Set the quality bar for: product specs, problem framing, execution rigor
Review and challenge PM work before it reaches Engineering
Coach PMs to think in terms of simplicity, speed, and tradeoffs
Partner Deeply with Engineering
Work day-to-day with Engineering Managers and Tech Leads
Ensure work handed to R&D is: clear, well-scoped, biased toward the simplest viable solution
Push back on over-engineering and unnecessary platform work
Ensure Quality & Product Coherence
Validate features before and after release: UX correctness, edge cases, alignment with product principles
Ensure consistency across the product
Treat merged as a checkpoint, not the finish line
Own the Customer Feedback Loop
Talk directly with customers, design partners, and internal teams
Extract real signal from feedback
Close the loop by rapidly feeding insights back into execution
Balance customer needs with velocity and focus