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we are looking for a highly analytical, hands-on, and systems-oriented Senior Lifecycle & Automation Manager to own and scale our lifecycle marketing efforts across the customer journey.
Youll be responsible for designing, building, optimizing, and scaling lifecycle programs that improve lead nurturing, activation, engagement, pipeline generation and reactivation across both sales-assisted and product-led motions.
Were looking for someone who thinks in funnels, behaviors, systems, experimentation, automation, and customer journeys and who can independently turn ideas into measurable business impact.

The Procurement Operations & Excellence Lead is responsible for driving operational maturity across the global procurement & operations organization. This role owns the strategy, deployment, and continuous improvement of procurement & travel processes, systems, tools, governance, and policies. The role includes the management of team leads across procurement and travel operations and requires strong managerial capabilities to develop, coach, and direct those leaders. It requires a visionary operator with strong project-management and people-leadership skills, the ability to manage complex cross-functional interfaces, and a relentless drive for execution. The role ensures world-class performance, streamlined operations, compliance, and excellent service levels to stakeholders and suppliers.
How will you make an impact?
1. Operational Excellence & Process Leadership
- Design, implement, and optimize end-to-end procurement and corporate travel processes across all categories and regions.
- Diagnose operational gaps and drive continuous improvement initiatives across procurement and travel operations.
- Develop KPIs, dashboards, and performance metrics to monitor efficiency, effectiveness, and traveler experience.
- Standardize operating procedures and methodologies globally across procurement and travel.
- Leverage AI and analytics to identify process bottlenecks, forecast demand, and recommend optimization opportunities.
2. Systems, Tools & Digital Procurement
- Act as product owner for procurement and travel technologies such as ERP, P2P, contract management, intake tools, supplier portals, online booking tools (OBTs), TMC platforms, and expense management systems.
- Define system requirements, manage roadmaps, and lead improvement cycles with IT, TMCs, and vendors.
- Evaluate and deploy AI-powered capabilities, agentic intake, conversational assistants, contract intelligence, spend classification, and predictive analytics, across the procurement and travel stack.
- Train procurement and travel teams on new systems, AI tools, and digital capabilities.
- Ensure data integrity, automation, and seamless platform integration across procurement, travel, and finance systems.
3. Policy, Governance & Compliance
- Maintain procurement and travel policies, guidelines, and internal controls.
- Establish governance frameworks ensuring compliance with legal, audit, duty-of-care, and data-privacy standards.
- Define responsible-AI guardrails for procurement and travel use cases, including data handling, bias, and human-in-the-loop controls.
- Align policies with Finance, Legal, Security, and HR/Mobility teams.
4. Program & Project Management
- Lead cross-functional programs, including procurement and travel system rollouts, AI deployments, and process improvements.
- Track deliverables, timelines, risks, and stakeholder dependencies.
- Drive execution of strategic procurement and travel initiatives, including AI and automation programs.
5. Stakeholder & Service Management
- Serve as the central point for operational escalations and support across procurement and travel.
- Ensure high service levels and traveler experience via structured intake management, AI-assisted triage, and prioritization.
- Promote a culture of efficiency, accountability, and data-driven decision-making across the procurement and travel ecosystem.

we are looking for a User Acquisition Manager .
As an Expert Search User Acquisition Manager, you will help our acquisition efforts, be responsible for setting, optimizing, and scaling campaigns on Search campaigns (Google and Bing ads). You'll work closely with the bigger team, providing actionable insights and sharing best practices and knowledge.
What you'll be doing:
Set, optimize, and scale search campaigns in order to achieve KPIs
Share actionable insights and knowledge with existing PPC account managers.
Analyze performance based on ROI and engagement to drive actionable insights
Co-initiate and implement teams performance oriented projects, constantly seeking improvement opportunities
Work together with CS, Sales and product to optimize every step of the funnel
Work closely with the creative and content teams to improve Conv Rate
Identify trends and constantly come up with new growth opportunities
Initiate, structure and measure AB tests on landing pages
Combine business and creative thinking to understand user pain points, identify growth opportunities, and translate insights into practical actions that improve campaign and funnel performance.

We are looking for a highly organized, proactive, and business-oriented Executive Assistant to support the General Manager of one of our Product business units.
In this role, you will serve as a trusted partner to the GM, helping drive operational excellence, coordination, and execution across a fast-paced global organization. You will work closely with leaders and stakeholders across Product, Engineering, HR, Finance, and other functions to ensure priorities are effectively managed and key initiatives move forward seamlessly.
The ideal candidate thrives in a dynamic environment, demonstrates strong judgment and discretion, and is comfortable managing multiple priorities while building effective relationships across the organization.
This is an excellent opportunity for someone who enjoys working closely with senior leadership and making a meaningful impact on the success of a global business.
How will you make an impact?
Partner closely with the General Manager to support day-to-day operations, leadership priorities, and strategic initiatives
Coordinate leadership forums, business reviews, and cross-functional meetings across global teams and time zones
Prepare agendas, capture key decisions, track action items, and drive follow-through to ensure execution
Act as a central point of coordination across Product, Engineering, HR, Finance, Facilities, and other business functions
Manage complex calendars, scheduling priorities, and executive communications
Assist in planning team events, offsites, leadership meetings, and employee engagement activities
Work with vendors and support budget administration, purchase orders, and expense tracking related to team activities
Support onboarding and organizational logistics for new team members
Build strong relationships with stakeholders at all levels, including senior leadership, while handling sensitive information with discretion and professionalism
Identify opportunities to improve processes, increase efficiency, and enhance organizational effectiveness
Serve as a trusted extension of the General Manager, demonstrating sound judgment, ownership, and a proactive approach to problem-solving.

We are seeking a highly skilled and experienced Senior AI and Analytics AML Product Manager to join our dynamic team. The successful candidate will play a crucial role in leading the development and execution of our AI and analytics AML products. This individual will work closely with cross-functional teams to define product requirements, drive product development, and ensure successful delivery to market. The Senior AI and Analytics Product Manager will leverage their expertise in machine learning, data analytics, and product management to drive innovation and deliver value to our customers.
This is a customer-facing role that requires regular interaction with financial institutions (FIs), gathering feedback, building relationships, and understanding the challenges and pain points. The role involves travel and deep engagement with customers to align our products with real-world needs. Knowledge of AML and financial crime is critical to succeed in this position.
How will you make an impact?
Product Strategy and Roadmap Development:
Lead the development of the AI and analytics AML products and roadmap, aligning with the company's overall vision and objectives.
Conduct market research and competitive analysis to identify market trends, customer needs, and opportunities for differentiation.
Define product priorities and initiatives based on customer feedback, business goals, and technical feasibility.
Product Planning and Execution:
Collaborate with cross-functional teams including engineering, data science, design, and marketing to define product requirements and specifications.
Drive the product development process from concept to launch, ensuring timely delivery and adherence to quality standards.
Manage the product lifecycle, including feature prioritization, release planning, and post-launch performance monitoring.
AI and Analytics Expertise:
Apply deep knowledge of machine learning techniques to enhance product capabilities and drive innovation.
Leverage data analytics and visualization tools to derive insights from large datasets and inform product decisions.
Stay abreast of advancements in AI technology, industry trends, and best practices to continually improve product offerings.
Customer Engagement and Feedback:
Work directly with customers, including banks and financial institutions, to understand their challenges and gather actionable feedback.
Present product concepts and solutions to customers, aligning product functionality with their needs.
Travel as needed to meet with customers, participate in industry events, and ensure products address real-world AML scenarios.

Were looking for a skilled Product Designer to join our growing design team and play a vital role in shaping exceptional mobile and web experiences. This is an exciting opportunity for a talented designer passionate about user-centered design to work on meaningful, high-impact projects that improve the daily lives of millions of users globally.
As a Product Designer , youll collaborate with Product Managers, Developers, and other stakeholders to ensure the user experience remains intuitive, delightful, and innovative across all touchpoints
What you'll be doing:
Design end-to-end solutions for complex workflows and features on both mobile and web platforms.
Collaborate with cross-functional teams, including Product Managers, Developers, and Marketing, to deliver seamless and engaging user experiences.
Lead all stages of the design process, including user research, wireframing, prototyping, visual design, and usability testing.
Work closely with the team to maintain and evolve our design systems, ensuring consistency across all platforms.
Advocate for user-centered design principles and champion UX best practices in every project.
Analyze user data and feedback to iterate and improve designs for maximum impact.
Contribute to fostering a strong design culture within the company through idea-sharing, feedback, and collaboration.

We are seeking a passionate Product Manager with experience in building web and mobile products in an agile software development environment.
Our ideal candidate lives and breathes product, loves technology, and is addicted to building tools with great user experience.
You will work directly with our product teams in order to deliver a great product while keeping its core values: easy-to-use, fun, and intuitive.
What you'll be doing:
Define the roadmap and product vision.
Manage the full product cycle of new products.
Research and analyze users needs and competitors.
Define user flows and sketch wireframes.
Work closely with our product teams, Product Designers, Analyst, and Developers all the way to production.

This Position reports to our Global Vice President of Design and User Experience, the Director, Product Design will lead and Israel design organization as part of our collaborative UX leadership team. You'll build a high-performing team while making strategic design decisions that drive product excellence across our contact center and SaaS solutions.
How will you make an impact?
In this role, you'll have the autonomy to make critical design and resource allocation decisions that directly impact our products. Working alongside UX leadership peers in the US and India, you'll help shape our global design vision while building organizational excellence in Israel. Your leadership will blend strategic design thinking with thoughtful team development, as you establish processes that enable your organization to thrive at the highest levels of quality and efficiency. This position requires proactive communication, strong relationship-building skills, and a highly collaborative mindset. You will work closely with distributed peers and stakeholders across multiple regions and time zones. A core expectation of this role is schedule flexibility, including regular early-morning and occasional late-evening calls, to effectively partner with global teams and leadership. Success in this position depends on maintaining strong visibility and accessibility across international offices and ensuring consistent alignment regardless of geography.
Strategic Leadership & Decision Making
Influence roadmaps and feature prioritization through collaborative partnerships with product and engineering leadership
Champion design excellence and innovation across the organization
Organizational and Design Excellence
Create an inclusive culture of excellence that attracts and retains diverse design talent
Optimize team allocation and prioritize design work to maximize business impact
Lead cross-functional design reviews and stakeholder alignment sessions
Drive adoption of design systems and best practices across development teams
Ensure accessibility and internationalization standards are met across all products.

As AI Quality Architect, you are the person who makes quality native to the agentic SDLC. You design the systems, standards, and intelligence layers that ensure every stage of an AI-accelerated pipeline - from requirement ingestion to autonomous deployment - is observable, trustworthy, and continuously improving. You don't retrofit testing onto AI workflows; you architect quality into them from the ground up.
How will you make an impact?
Agentic Quality Architecture
Design the end-to-end quality architecture for agentic SDLC pipelines - spanning requirement analysis, code generation, test creation, execution, triage, and release gates
Define how quality agents are orchestrated: which decisions they own autonomously, which require human-in-the-loop checkpoints, and how confidence thresholds govern both
Architect multi-agent quality workflows: requirement validation agents, test generation agents, failure triage agents, and regression analysis agents working in coordinated pipelines
Establish trust and verification models for agent-produced artifacts - test code, assertions, coverage reports, and defect analyses must all be auditable and traceable
Own the architectural patterns for quality feedback loops between agents: how a deployment agent learns from a triage agent's findings, and how that signal improves future generation
AI-Native Test Engineering Platform
Design and own the LLM-powered test generation platform - from natural language requirement ingestion to executable, maintainable test output
Architect the evaluation harness that continuously measures test generation quality: coverage delta, false-positive rates, assertion accuracy, and maintenance burden over time
Build the self-healing test infrastructure layer - agents that detect broken selectors, drifted APIs, or changed behaviors and propose or apply fixes autonomously
Define the prompt engineering standards, context injection patterns, and RAG architectures that ground test generation agents in real codebase context
Architect test artifact governance: versioning, ownership attribution (human vs. agent), rollback capability, and confidence scoring for every generated artifact
Quality Gates in Autonomous Pipelines
Design intelligent, adaptive quality gates that operate at the speed of agentic CI/CD - gates that reason about risk, not just pass/fail thresholds
Build risk-scoring models that dynamically adjust gate strictness based on change scope, code origin (human vs. AI-generated), historical failure patterns, and deployment context
Architect the observability layer for agentic pipelines: what signals indicate a pipeline agent is making poor quality decisions, and how are those signals surfaced in real time
Define the integration patterns between quality gates and orchestration platforms (LangChain, LlamaIndex, custom agent frameworks) used across the engineering org
Establish rollback and circuit-breaker patterns for autonomous deployments triggered by quality signal degradation.

Were looking for a highly motivated AI Developer to help design, build, and deploy intelligent agentic systems across our product ecosystem. In this role, you'll work at the intersection of machine learning, backend systems, and modern frontend technologies to deliver AI-first features that feel magical to users.
This is a hands-on, cross-functional role ideal for engineers who love building full-fledged features-from data pipelines and LLM orchestration to intuitive UI experiences-with a strong product mindset.

As AI Quality Architect, you are the person who makes quality native to the agentic SDLC. You design the systems, standards, and intelligence layers that ensure every stage of an AI-accelerated pipeline - from requirement ingestion to autonomous deployment - is observable, trustworthy, and continuously improving. You don't retrofit testing onto AI workflows; you architect quality into them from the ground up.
How will you make an impact?
Agentic Quality Architecture
Design the end-to-end quality architecture for agentic SDLC pipelines - spanning requirement analysis, code generation, test creation, execution, triage, and release gates
Define how quality agents are orchestrated: which decisions they own autonomously, which require human-in-the-loop checkpoints, and how confidence thresholds govern both
Architect multi-agent quality workflows: requirement validation agents, test generation agents, failure triage agents, and regression analysis agents working in coordinated pipelines
Establish trust and verification models for agent-produced artifacts - test code, assertions, coverage reports, and defect analyses must all be auditable and traceable
Own the architectural patterns for quality feedback loops between agents: how a deployment agent learns from a triage agent's findings, and how that signal improves future generation
AI-Native Test Engineering Platform
Design and own the LLM-powered test generation platform - from natural language requirement ingestion to executable, maintainable test output
Architect the evaluation harness that continuously measures test generation quality: coverage delta, false-positive rates, assertion accuracy, and maintenance burden over time
Build the self-healing test infrastructure layer - agents that detect broken selectors, drifted APIs, or changed behaviors and propose or apply fixes autonomously
Define the prompt engineering standards, context injection patterns, and RAG architectures that ground test generation agents in real codebase context
Architect test artifact governance: versioning, ownership attribution (human vs. agent), rollback capability, and confidence scoring for every generated artifact
Quality Gates in Autonomous Pipelines
Design intelligent, adaptive quality gates that operate at the speed of agentic CI/CD - gates that reason about risk, not just pass/fail thresholds
Build risk-scoring models that dynamically adjust gate strictness based on change scope, code origin (human vs. AI-generated), historical failure patterns, and deployment context
Architect the observability layer for agentic pipelines: what signals indicate a pipeline agent is making poor quality decisions, and how are those signals surfaced in real time
Define the integration patterns between quality gates and orchestration platforms (LangChain, LlamaIndex, custom agent frameworks) used across the engineering org
Establish rollback and circuit-breaker patterns for autonomous deployments triggered by quality signal degradation.