דרושים » מוצר » AI Solution Manager

Medison offers hope to patients suffering from rare and severe diseases by forming partnerships with emerging biotech companies to accelerate access to highly innovative therapies in international markets. As the creator and leader of the global partnership category in the pharma industry, we strive to be Always Ahead and work relentlessly to bring therapy to patients in need, no matter where they live. Our values are at the core of every action we take, and we are committed to going above and beyond to benefit the patients we serve. We are a dynamic, fast-paced company operating in over 34 countries on 5 continents. We are looking for out-of-the-box thinkers, people who are passionate, caring, agile, and adaptive, to join us on our mission. If you are looking to make a difference in people's lives, we invite you to join us! We are looking for a motivated and business-oriented Data Engineer to join our global Data & BI team. In this role, you will design, develop, and maintain modern data pipelines and data solutions that support critical business processes across the organization. You will work closely with global stakeholders, integrate data from multiple sources, ensure data quality and reliability, and contribute to modern data and AI initiatives. (*Please note, the internal title for this role is Senior Data & BI Specialist, Business Technology.)

Responsibilities:

* Design, build, and maintain scalable ETL/ELT pipelines
* Develop and optimize complex SQL queries and data transformation processes
* Integrate data from internal and external systems, including APIs, databases, and third-party platforms
* Own data quality, monitoring, reliability, and governance processes
* Investigate and resolve data-related issues while supporting business users
* Take ownership of data workflows from design and development through production support
* Collaborate with global stakeholders to understand business requirements, analyze data discrepancies, and deliver reliable data solutions
* Design, develop, and maintain AI-powered data solutions that support business decision-making and operational excellence
* Build and implement monitoring capabilities (e.g. anomaly detection, forecasting, etc.) using modern AI capabilities
* Partner with business teams to identify opportunities for applying AI and LLM-based solutions to real-world business challenges
* Develop and operationalize AI workflows and data products from proof-of-concept through production deployment

City:
Petah Tikva

We are looking for an exceptional Principal Product Manager to help build Core AI Platform-the trusted, scalable AI operating layer enabling Product, Engineering, and Business teams to adopt AI safely and effectively.
Reporting to the Senior Product Director, Core AI Platform, you will take part in translating strategy into concrete roadmaps and capabilities, and partner deeply with Engineering, Data, Architecture, Security, and business stakeholders to deliver reusable AI capabilities across .
This role is ideal for a senior, hands-on product manager, AI savvy, who combines technical depth, exceptional product sense, execution excellence, and the ability to drive adoption across complex organizations.
What you'll do:
The Core AI Platform enables three strategic outcomes: transforming how products are built, enabling every business function to redesign and automate workflows through AI, and creating agentic customer experiences across products.
You are not building isolated AI features for one product. You are building platform capabilities, reusable patterns, and product experiences that help teams across ship trusted AI faster, safer, and at scale.
Own the roadmap for one or more Core AI Platform areas.
Translate ambiguous business and technical needs into clear requirements, milestones, and measurable outcomes.
Define and deliver scalable, secure, compliant platform capabilities across AI infrastructure, orchestration, governance, evaluation, responsible AI, APIs, and reusable services.
Partner hands-on with Engineering, Data, Security, and Architecture to make practical build, buy, partner, and integrate calls in your domain.
Lead AI-native solutions that show how the platform accelerates product development, engineering productivity, and workflow automation.
Turn early solutions into reusable patterns, templates, and components teams can adopt.
Drive and track adoption of the tools and services you will build.

As an AI Product Owner & AI Process and Agentic Designer, you will own the process of transforming complex workflows into scalable AI solutions, bridging the gap between business stakeholders and AI Engineers. You will lead business process analysis, identify agentic process opportunities, validate business value, and define solution designs that enable successful AI implementation across the organization.

Responsibilities

Business Process Analysis & Discovery
Partner with business stakeholders to map, document, and analyze existing workflows, identifying inefficiencies, bottlenecks, and manual processes ripe for automation.
Conduct discovery sessions and workshops to deeply understand business needs, pain points, and success criteria across departments.
Agentic Opportunity Identification
Evaluate workflows to pinpoint where agentic and AI-driven approaches can deliver the most value, distinguishing tasks suited to automation, augmentation, or full agentic orchestration.
Maintain a prioritized pipeline of AI/agentic opportunities, assessing each for feasibility, complexity, and impact.
Business Value Validation
Define and quantify the expected business value of proposed solutions (e.g., cost savings, time reduction, quality improvement, revenue impact) and build the business case for investment.
Establish success metrics and KPIs, and track realized value post-implementation to ensure outcomes match projections.
Solution Design & Definition
Translate business requirements into clear solution designs, including agentic process flows, decision logic, data inputs/outputs, integration points, and human-in-the-loop checkpoints.
Define guardrails, escalation paths, and fallback behaviors to ensure solutions operate safely and reliably.
Stakeholder & Engineering Bridging
Serve as the primary liaison between business stakeholders and AI engineers, translating business intent into technical requirements and engineering constraints back into business terms.
Own the product backlog, prioritize features, and clearly communicate scope, trade-offs, and timelines to all parties.
Implementation Enablement & Iteration
Guide solutions through the full lifecycle from concept to deployment, supporting testing, validation, and change management.
Gather feedback, monitor performance, and drive continuous refinement of deployed AI and agentic solutions.
Scalability & Standardization
Identify reusable patterns, components, and best practices to scale successful solutions across the organization.
Contribute to governance frameworks, documentation standards, and design principles for AI/agentic product development.

We are looking for a technically-grounded, visionary Product Owner to lead GenAI-powered initiatives within our B2B platform. You will stand at the intersection of cutting-edge LLM technology and enterprise-scale business impact, transforming how global financial institutions handle everything from underwriting automation to complex claims intelligence.

Key Responsibilities:
AI Roadmap & Strategy: Define and own the GenAI roadmap, identifying high-value use cases like fraud detection copilots, document intelligence, and agentic underwriting.
Backlog Excellence: Own and optimize the product backlog, translating complex AI concepts into clear user stories and acceptance criteria for engineering and data science teams.
Technical Specs & Orchestration: Read and write technical specs, API contracts, and data models. Youll work closely with Development & architecture teams
Experimental Mindset: Lead lean experiments and A/B tests to validate LLM performance, managing the balance between probabilistic AI outputs and deterministic business rules.
Stakeholder Leadership: Communicate the vision and progress transparently to global stakeholders and enterprise clients, acting as the bridge between "the possible" and "the practical".

We are a leading fintech information provider, delivering digital solutions in labor law, taxation, finance and pensions. We are looking for a Product Manager.
Key Responsibilities: Implementation of the product's strategy and vision and make sure its aligned with the company's overall objectives and market trends in the legal industry. Conduct in-depth market research and analysis to identify emerging trends, competitive landscape, product market fit, and customer needs within the legal technology space. Define and prioritize the product roadmap based on strategic initiatives, customer feedback, and market opportunities, ensuring alignment with business goals and resources. Lead cross-functional agile teams through the product development lifecycle, from ideation and requirements gathering to design, development, and launch, while maintaining focus on quality and timeliness. Ensure that all product features and functionalities comply with relevant legal regulations, data privacy laws, and security standards. Identify opportunities to embed AI capabilities into the product: automations, intelligent workflows, and decision-support features that add measurable value to customers. Apply AI tools in day-to-day PM work: research, spec writing, discovery synthesis, backlog management, and stakeholder communication

The GTM AI Product Manager (sitting within RevOps - GTM) translates executive GTM strategy into operational AI solutions, ensuring high-impact initiatives, spanning Marketing, Sales, Partners, and Customer Growth, are successfully defined, scoped, structured, incubated, and brought to life.

Acting as the architect of these initiatives, you translate GTM leadership priorities and target business KPIs into structured execution, connecting business requirements with tech delivery, serving as a strategic bridge and an agile incubator, facilitating rapid prototyping and validation of new workflows.

Responsibilities: Discovery, Architecture & Incubation
Requirement Gathering & Scope Definition: Partner with GTM leadership to gather complex business requirements. Define clear project objectives, use cases, and success metrics (KPIs) while ensuring initiatives stay aligned with top-down priorities.

Functional Architecture: Translate leadership vision into structured operational blueprints and business process flows that define how AI solutions will function within the GTM engine.

Feasibility & Analysis: Lead "buy vs. build" assessments, evaluating market solutions against internal development capabilities to ensure the best path for the business.

V1 Incubation: Build and validate initial prototypes (V1s) using low-code/no-code and agentic platforms to prove value and de-risk the project before scaling.

Scope Integrity: Maintain clarity of scope throughout the execution lifecycle, preventing "project drift" and ensuring technical execution meets the original business intent.

2. Cross-Functional Orchestration
Partnerships: Serve as the primary functional partner for the tech teams to bring AI solutions to production.

Requirement Synthesis: Translate gathered business needs into structured tech requirements, blueprints, and roadmap alignments.

Coordinate implementation: timelines and iteration cycles, ensuring that the final tech delivery matches the functional design and business methodologies.

3. Rollout & Field Excellence
Adoption Planning: Partner with RevOps and GTM leadership to design rollout strategies, communication plans, and enablement materials.

Feedback Loops: Establish rapid iteration cycles based on field feedback to continuously optimize AI solution performance.

Impact Tracking: Partner with Data, Analytics and Insights teams on the reporting of core KPIs (e.g., conversion, cost-per-meeting, attainment), ensuring measurable ROI for every initiative.

We are looking for a hands-on, builder-minded AI Senior Product Manager to lead a high-stakes, 0-to-1 initiative.

This is a rare opportunity to operate with the agility and autonomy of a startup founder while leveraging the massive datasets, engineering resources, and established market presence of an industry leader.

This role sits squarely at the intersection of Cybersecurity and AI. You will be responsible for building a net-new product from the ground up - translating raw technical concepts into production-grade reality. We are looking for an entrepreneurial builder who thrives in ambiguity and is obsessed with rapid iteration and technical depth.

This is not a role for a traditional "project manager." You must be a hands-on owner who brings strong, opinionated perspectives formed by real-world technical experience. You will own product initiatives from deep problem discovery through engineering execution, validating and shipping products that security practitioners rely on every day.

What You'll Do

Drive 0-to-1 Cybersecurity & AI Products End-to-End
Operate with a founder's mentality: own the product lifecycle from initial discovery and definition to UX design, technical execution, customer validation, and production release.
Frame ambiguous market opportunities into simple, well-scoped milestones, specs, and rapid execution plans.
Act as a hands-on builder-owning the outcome end-to-end rather than just managing processes or tickets.
Build Practical, Production-Grade Capabilities for Security
Identify key leverage points in security workflows (e.g., threat hunting, incident response) where AI can unlock step-function improvements.
Harness and build on top of existing AI agentic frameworks to solve complex cybersecurity challenges - translating model strengths and limitations into practical UX decisions.
Go beyond theoretical AI buzzwords to ship reliable, predictable, and value-driving security features in production.
Partner Deeply with Engineering & Security Experts
Work daily with Tech Leads, AI Engineers, Security Analysts, and Designers in a highly collaborative, fast-paced environment.
Get comfortable looking at raw logs, trace data, system architectures, and security vulnerabilities alongside engineers to deeply understand root causes and technical tradeoffs.
Challenge unnecessary technical complexity and continuously push for the simplest, most elegant solution.
Own UX & Product Quality for Technical Users
Maintain an exceptionally high bar for product quality, clarity, and system reliability.
Abstract dense technical data, security alerts, and complex AI outputs into intuitive, actionable user workflows.
Treat launch day as the start of continuous learning - actively monitoring usage metrics, validating edge cases, and rapidly iterating based on live system feedback.
Stay Connected to Technical Customers
Engage directly with security practitioners, DevOps, and SREs to uncover genuine friction points in their daily operations.
Translate raw customer feedback into prioritized product roadmaps grounded in real operational impact.

Required Product Manager, Central Products
As a PM here, you own one of those systems end to end: you set the strategy, work daily with a team of engineers and data scientists in Tel Aviv, and drive decisions that show up in company-level growth numbers. The problems are genuinely hard and mostly unsolved - how do you prove the value of a channel you can't fully instrument, how do you respond to an ecosystem highly disrupted by AI, how do you make someone want an app before you ask them to sign up.
Responsibilities
Is the primary driver for identifying significant near and long-term opportunities in a large Product area, and driving product mission, strategies, and roadmaps in the context of broader organizational strategies and goals
Generate buy-in and drive consensus across organizations. Bring clarity and structure to ambiguous opportunities. Consistently demonstrate initiative and execute with limited oversight
Critically evaluate when AI is (and isn't) the optimal solution at portfolio level, setting the standard for rigorous tradeoff analysis
Translate AI capabilities into compelling, differentiated product visions that define market categories
Champion AI-native strategies including comprehensive evals and data strategies that enable org-wide continuous improvement
Drive product development with teams of engineers and designers, while maintaining team health
Work closely with cross-functional teams to drive product mission, define product requirements, coordinate resources from other groups (design, legal, etc.), develop roadmaps, and guide the team through key milestones
Reimagine workflows, responsibly using AI tools to transform team velocity and capability at organizational scale
Foster a culture of rapid experimentation and learning that becomes a competitive advantage
Scale AI best practices (including responsible AI use), workflows, and artifacts across the organization so capability compounds exponentially
Plan, initiate, and manage information technology projects for web-based products, applications, and platforms
Orchestrate complex execution across multiple organizations by combining AI automation with strategic human oversight at scale
Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm

We are looking for a VP Data Intelligence & AI Enablement to join our Team.

Why is this role so important?

As VP of Data Intelligence & AI Enablement, you will own the data foundation that powers AI-native future.
You'll lead the BI team and the Data Analyst teams embedded in GTM (Sales, Marketing) and Product- teams that are already AI-fluent, working daily with Cursor, Git, and LLM tooling.
Your mandate is to channel that capability into building production-grade agentic solutions that drive measurable business outcomes across GTM, Product, and G&A.



So, what will you be doing all day?

AI Infrastructure (MCP): Develop the internal data and API layer to make business data accessible, safe, and actionable for AI agents across GTM and Product.

Proactive Intelligence: Shift the company from traditional reporting to automated, AI-pushed insights and dashboards delivered directly to stakeholders.

Semantic Layer & Governance: Build and own the unified semantic layer to ensure a single source of truth and eliminate metric misalignment across Sales, Marketing, CS, and Product.

Scaling Analytics with AI: Lead and upscale the data analysts function into "AI solution builders," implementing automated agentic workflows (using Cursor, Git, LLMs) to handle complex processes.

GTM & Product Analytics: Own the core analytical frameworks for key business metrics (Pipeline, Conversion, CARR, Retention, and Product Usage).

C-Suite Partnership: Serve as the strategic data thought-partner to the executive team (COO, CRO, CPO, CMO, CFO) to align data strategy with business priorities.