לוח משרות דרושים, לחיפוש זה נמצאו 1,564 משרות

We are looking for an Onboarding & Implementation Lead to own and scale the onboarding experience across both SMB and Enterprise customers.
This is a highly customer-facing role that combines project management, customer consulting, operational excellence, and technical problem-solving. You will be responsible for guiding customers from contract signature to successful activation, ensuring they reach value quickly and confidently.
You will lead onboarding engagements for Enterprise customers, support complex SMB implementations, and proactively drive onboarding completion across our broader customer base. You'll work closely with Customer Success, Sales, Product, Support, and our Onboarding manager to deliver a seamless customer experience and continuously improve our onboarding processes.

This is not your typical leadership role.
If youre looking to manage tasks, run standups, and stay above the code - this position probable isnt for you.
But if you want to build systems, shape engineers, and redefine how teams operate in the age of AI - keep reading.
What were actually building
were building systems that dont just process data - they make decisions.
Real-time. At scale. Under uncertainty.
Fraud evolves fast.
So our systems, and our engineers, need to evolve faster.
This is where you come in.
What youll actually do:
Youll lead a team - but youll also build with them
Youll make architectural decisions that directly impact how the system scales and behaves
Youll own critical parts of the system - not just people
Youll turn ambiguity into direction (for both product and engineering)
Youll raise the bar: in code quality, system design, and how the team thinks
Youll embed AI into how the team works - not as a tool, but as leverage
Youll help strong engineers become exceptional

We are seeking an experienced Data Engineering / Data Infrastructure Team Lead to guide a high-performing team in designing, scaling, and managing the robust, cost-efficient infrastructure powering our solution.
In this role, you will balance technical excellence with people leadership. You will architect distributed data systems and cloud-native technologies to safeguard our clients' revenue while driving strategic initiatives that align with business objectives, operational efficiency, and team growth.
Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud.
Your Arena:
Leadership & Mentorship: Lead, mentor, and scale a team of talented data and infrastructure engineers. Cultivate a culture of technical excellence, continuous learning, and psychological safety.
Data Infrastructure & FinOps: Own the architecture and evolution of our modern data stack, ensuring robust, scalable backend services while driving cloud cost management (FinOps) to maximize resource efficiency.
High-Performance Engineering: Oversee the design of distributed systems, real-time streaming, and batch pipelines capable of processing millions of daily transactions with minimal latency.
Operational Excellence: Champion Infrastructure-as-Code (IaC), rigorous security compliance, data governance, and deep observability (monitoring/alerting) across the R&D organization.
Strategic Collaboration: Act as the bridge between data engineering, product, data science, and core R&D teams to execute complex cross-functional initiatives.

Who We're Looking For - The Dream Maker
As a Senior BI Analyst , you will own the companys BI layer end-to-end-turning business questions into trusted metrics, decision-ready dashboards, and proactive monitoring that helps teams move faster with confidence in the numbers.
You will be responsible for the following key areas:
Metrics & Definitions (Single Source of Truth): Define, standardize, and document KPIs (logic, grain, filters, edge cases) so the company aligns on what good looks like and avoids metric drift.
Dashboard Delivery & Storytelling: Build and maintain accurate, performant dashboards that surface trends, risks, and root-cause signals (not just charts).
Data Quality & Observability: Implement data quality checks, anomaly detection, and alerting to catch issues before they impact decision-making.
Stakeholder Partnership: Run a clear BI intake/triage process, manage priorities, and communicate tradeoffs and timelines across Product, Finance, Ops, and Leadership.