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We are seeking a Senior Product Manager to join our Commercial Products domain, taking ownership of one of our most critical products: Global Receiving Accounts.
You will work closely with cross-functional teams to define and execute the product strategy, ensuring our offerings deliver maximum value and impact. This role combines strategic thinking, customer empathy, and data-driven decision-making, all in a highly collaborative, global environment.
Employment type: Full-time
What youll do:
Own the domain end-to-end: Define and drive the product strategy for Global Receiving Accounts.
Set the vision, build the roadmap, and make prioritization calls that balance customer impact, business value, and technical feasibility.
Lead a dedicated engineering team, set direction, remove blockers, and make sure the team is building the right things.
Navigate complex stakeholder landscapes: Partner closely with product, engineering, UX, risk, compliance, business development, operations, and commercial teams across multiple locations.
Align diverse stakeholders around a shared direction.
Scale the product globally: Expand into new markets, currencies, and payment corridors. Navigate the complexity of cross-border payments, local banking rails, and regional regulatory requirements.
Drive growth and monetization: Identify levers to improve activation, adoption, and revenue. Build hypotheses, run experiments, and use data to optimize the products commercial performance.
Communicate with clarity: Present strategy and progress to senior leadership. Translate complex technical and regulatory topics into clear narratives that drive decisions across the organization.

We are looking for a visionary, infrastructure-minded Senior Product Director to own our Core AI Platform. This is a foundational, high-leverage role responsible for defining, building, and scaling the technical ecosystem that enables AI to be deployed seamlessly across the entire organization. You will bridge the gap between cutting-edge AI capabilities and robust, enterprise-grade infrastructure, ensuring our teams have the tools they need to innovate at lightning speed.
What Success Looks Like:
You are not building AI features for a single product or business unit, you are defining the operating layer that lets every team build trusted AI and accelerate the shift to an AI-native company, powering products, engineering, business operations, and customer experiences. Your work will define the AI operating layer that powers our next decade of innovation.
Success means turning us into a true AI-native company where AI is our default execution layer. Within your first year, you will have eliminated deployment friction and delivered an intuitive infrastructure that engineering, risk, and product teams want to use rather than have to use. You win when internal teams are seamlessly shipping autonomous agents and AI workflows at lightning speed, directly scaling our global operations.
Success is measured through platform adoption and reuse across the company, engineering and business productivity, customer impact, AI quality, safety, and reliability, platform scalability, and business impact through cost efficiency and revenue growth.
What you'll do:
Define & Execute the AI-Native Strategy: Partner closely with the CPTO and executive leadership to translate our high-level AI vision into a concrete, multi-year product strategy and platform roadmap.
Build the Platform as a Product: Treat internal developers as your primary customers. Own the lifecycle of our AI infrastructure, turning highly complex backend systems and data pipelines into intuitive, reusable, and consumable capabilities.
Architect Core AI Capabilities: Design and scale the foundational frameworks for autonomous Agents, advanced developer experiences (DX), and rapid-adoption workflows that dramatically lower the friction of deploying AI models.
Ensure Governance & Scalability: Establish robust platform standards for AI governance, model evaluation, security, compliance, and cost-efficiency, ensuring our AI-native shift is both hyper-fast and highly secure.
Drive Cultural & Technical Evangelism: Act as a core thought leader internally and externally on AI innovation within fintech. Champion a platform culture where teams want to leverage your infrastructure, not just have to use it.
Deliver the First AI-Native Solutions: Lead the first generation of AI-native solutions, such as coding agents, business-workflow automation, and customer-facing assistants, that validate the platform and establish reusable patterns others can adopt.
Shape the Future of AI: Continuously evaluate emerging models, tools, and startups, and define how product management itself evolves in an AI-native company, including new operating models, AI metrics, and platform investment decisions.

Required Senior FP&A Business Partner
Role summary:
hybrid
fulltime
As a Senior FP&A Business Partner you will be part of a small, high-profile team, and play a key role in influencing the strategic direction of the business. In this role you will lead the Opex strategy of Finance, Legal, Customer Journey and Stablecoin business units, act as a trusted advisor to stakeholders through rigorous forecasting, performance analysis, and long-term planning.
The person in this role will succeed by mixing sharp financial thinking, clear communication with executives, strong analytical skills, and the ability to turn complex data into compelling business stories
What youll do:
Partner closely with key stakeholders across the organization.
Lead the end-to-end Opex planning process for various business units - including annual budgeting and rolling forecasts.
Analyze actual results vs. plan and forecast, explain key variance drivers, and identify opportunities for cost optimization and efficiency.
Develop analytical frameworks to explain business performance, budget variances, and emerging trends.
Prepare and deliver high-impact presentations for senior leadership, summarizing business performance, trends, and actionable recommendations.
Work closely with cross-functional stakeholders, to ensure alignment and clarity on headcount, resource allocation, spend, and investment priorities.

As Chief Architect, you will lead cross-group technical efforts, head the Architect Guild, and lead the department's AI enablement and transformation efforts. You will serve as a technical consultant and see the large picture of Optibus technology stack and its architecture. Our technology stack is built to handle significant complexity, integrating advanced AI, Data Science, and algorithmic optimization with robust infrastructure - ranging from cloud-native K8s and Serverless deployments to specialized Mobile and Embedded systems

This is not a docs and slides position, were looking for an architect who wishes and can stay hands-on and be able to dive into multidisciplinary complex issues and independently solve them. You will work closely with R&D leads and engineers to ensure engineering best practices and excellence.

We're looking for an Engineering Group Manager to lead this group. Reporting to the VP of R&D, you'll own the engineering execution, architecture, and technical direction of the products that define what Optibus is. You'll lead a group of full-stack team leads and engineers building large-scale, complex SaaS products on a cloud-native platform, working closely with our Algorithms group.

This is not a 2024 group manager role. We are not hiring someone whose day is meetings, status reports, and approvals. We are hiring a hands-on technical leader who codes, designs systems, drives architecture, leverages AI as a force multiplier, and is measured by impact rather than headcount.

What You'll Own

R&D leadership partnership. You're a key member of the R&D leadership team, actively shaping departmental strategy and driving high-level decisions across the organization - not just running your own group.
The core of the product. Engineering ownership of Planning, Scheduling, and Rostering - the products at the center of the platform, used by transit agencies and operators worldwide.
Architecture and technical direction. You set the technical bar. You participate in design, review architecture, write PRDs, and dive into code reviews when it matters. The hardest problems land on your desk.
A group of team leads and engineers. You'll mentor team leads, grow engineers, and build a small, sharp, high-leverage organization rather than a large one.
Delivery, quality, and velocity. You drive the engineering processes that ship a high-quality product on production-grade SaaS - fast, with low defect rates, and with continuous improvement.
AI-native engineering. You leverage AI agents and automation to multiply the output of your group - both in how the team builds software and in what we build into the product.
Cross-functional partnership. Tight collaboration with Product, Design, Algorithms, and Customer-facing teams to translate complex transit-domain needs into shipping software.

Required Senior Software Engineer
Role summary:
You will join a high-impact AI engineering team within R&D, owning problems end-to-end from understanding the business need, through architecture and implementation, to production monitoring. This is a new way of working: you'll work directly with business stakeholders, ship AI-driven capabilities at speed, and help define the methodology as we build it.
As a member of the AI Foundations organization, you will lead best practices, champion early adoption of new technologies, and influence the direction of our R&D guild - building and shipping cutting-edge agentic applications that deliver seamless experiences to our users.
Location:
Hybrid - Herzliya, Israel
Full-time
What you'll do:
Own the full development loop understand the business problem, define the solution, architect it, build it, ship it, and monitor it in production
Use AI as your primary development tool, achieving in a day what used to take a team a week
Collaborate with your team and business stakeholders to define decision logic, risk thresholds, and success metrics
Design and build evaluation frameworks as part of every solution you don't ship what you can't measure
Own production readiness monitoring, alerting, and observability go in on day one
Contribute to shaping team practices, tooling, and engineering standards across the pod
Decompose business problems into agentic workflows, orchestrated flows, and reusable capabilities.

Join GenAI team to build and extend the AI assistant embedded across our product suite. The platform is a production LLM agent system that's integrated into multiple host applications, backed by a RAG knowledge base and an evaluation-driven development workflow.

You'll work end-to-end: agent design, tool implementation, retrieval quality, integration into existing product UIs, cloud infrastructure, and evaluation/observability. The platform already ships to customers - you'll extend it, raise its quality bar, and help define where it goes next.

What you'll do

Design and evolve agents - build LLM agents with tool use, routing, and human-in-the-loop flows.
Implement tools and integrations - expose product capabilities to the agent, with multi-tenant context, via internal APIs and MCP servers.
Own retrieval quality - contribute to our RAG pipeline end-to-end: ingestion, embeddings, vector search, and reranking.
Define and evolve host integration contracts - collaborate with host application teams to integrate the assistant into product UIs built on different frontend stacks. You own the shared remote module and the integration API; host teams own their stacks.
Drive evaluation-led development - write evaluators (rule-based, LLM-as-judge, multi-turn), maintain CI eval gates, and use traces and feedback to debug production behavior.
Operate the platform - own deployments, observability, and the performance and cost of LLM-backed services.
Establish engineering practices** for AI-specific work: prompt versioning, eval coverage, testing, and code review.

We are seeking a highly skilled and motivated Technical Writer to join the Education Teams effort in auditing, revamping, and creating content for our customer-facing Help Center/Knowledge Base. This role is critical as the quality and structure of the documentation will directly feed and train our new AI support tools and directly support our customers.

Education team members have a deep desire to fully understand complex concepts, then be able to break them down to present them in a well-structured yet simplified and engaging manner.

The ideal candidate will be a strategic thinker who is a team player and an educator at heart, passionate about technology, with a deep understanding of technical documentation standards, information architecture, and the specific requirements for AI-ready content, training and education methodologies.



Responsibilities:

Knowledge Base Revamp & AI Optimization:
Conduct a comprehensive audit of the existing Help Center content for accuracy, clarity, completeness, and consistency as we migrate to a new tool.

collaborate and maintain a new information architecture and content structure optimized specifically for ingestion and utilization by AI support tools (e.g., clear, concise articles, defined topic boundaries, robust tagging/metadata).

Collaborate with the AI/Engineering teams to understand the technical requirements for content delivery to the AI platform and establish content governance rules.



Content Creation and Management:
Write, edit, and publish high-quality, user-friendly technical documentation, including tutorials, how-to guides, troubleshooting steps, and feature overviews for our SaaS product.

Understand target audiences to be able to accommodate the different roles and personas.

Ensure all content adheres to our brand voice, style guide, and technical accuracy.

Manage the documentation lifecycle within the chosen Knowledge Base platform (Confluence, Intercom).



Cross-functional Collaboration:
Work closely with Product Managers and Engineers to document new features and updates before launch, for both internal and external users.

Partner with the Customer Support team to identify key pain points and knowledge gaps that can be addressed by improved documentation and AI routing.

Provide feedback to the product team on UI/UX improvements based on content structure and user confusion.



Metrics and Improvement:
Establish and track key performance indicators (KPIs) related to documentation effectiveness, such as content usage, search success rates, case deflection rates attributable to the AI, and content quality scores.