דרושים » תוכנה » ISV EMEA Sales Ops Manager, Global Sales operations (GSO), Global Sales operations (GSO)

We are looking for a highly analytical, deeply technical, and proactive Senior Salesforce and Business Applications Analyst to join our team. In this role, you will champion an AI-first approach, leveraging AI across every aspect of your work to optimize efficiency and drive innovation.
You will bridge the gap between business needs and technical execution, taking full ownership of complex systems and driving end-to-end processes. Your focus will be on supporting, enhancing, and automating our operations across various Gett business domains, including Sales, Service, and Marketing.
This hands-on role encompasses managing daily system maintenance, configuring systems, integrating AI-driven workflows, and overseeing projects from inception to completion.
Key Responsibilities:
End-to-End Project Management: Manage complex, cross-functional projects from initial ideation, through requirements gathering, to successful deployment and optimization.
Drive Innovation & Initiative: Act as a proactive change-agent. Identify business gaps, propose innovative solutions, and passionately push new initiatives forward to improve efficiency and performance.
System Ownership: Take full accountability and end-to-end ownership of the systems health, functionality, and alignment with business goals.
Mentorship & Leadership: Guide, mentor, and upskill junior team members, fostering a culture of continuous learning and professional excellence within the team.

We are expanding our Fraud Intelligence Unit and need passionate, sales-focused, fraud fighters to join our team.

Reporting to the Global Fraud Intelligence Director, you will be responsible for conducting deep-dive, targeted analysis of fraud patterns to support high-impact, engagement strategies for prospective customers, with the goal of supporting the sales team and business in securing revenue growth. Unlike broader trend analysis roles within the team, this position focuses on generating highly tailored insights for a defined set of priority prospects, helping articulate the need for our advanced fraud and financial crime prevention solutions.

You will work closely with internal stakeholders to analyse us and external data with a hypothesis-driven approach, uncovering specific vulnerabilities, attack patterns, and risk exposures relevant to individual organisations or segments. Your work will translate complex data into compelling, evidence-based narratives that highlight both the impact of fraud and the urgency of addressing it.

Key responsibilities:
Support the Sales team in the generation and progression of revenue-generating opportunities.
Conduct deep, targeted analysis of our data to identify customer- or segment-specific fraud patterns, risks, and vulnerabilities.
Apply advanced analytical techniques and hypothesis-driven investigation to uncover insights that are not visible through high-level trend analysis.
Leverage AI-assisted analytical tools to enhance the scale and speed of analysis, while applying rigorous data validation and expert judgment to ensure accuracy and relevance.
Translate analytical findings into tailored, prospect-relevant narratives that clearly articulate fraud exposure, business impact, and the value of mitigation strategies.
Develop insight-driven materials that support commercial engagement, including customer-specific briefings, strategic reports, and pre-sales narratives.
Collaborate closely with sales, marketing, and regional teams to align analytical tasks with customer priorities and commercial objectives.
Design and develop effective data visualisations that simplify complex findings and strengthen the impact of customer-facing storytelling.
Present findings internally as well as directly to customers, demonstrating credibility through data-backed insights and clear articulation of fraud risks.
Build and maintain analytical frameworks, datasets, and repeatable methodologies that support scalable customer-focused analysis.
Identify opportunities to enhance analytical workflows through automation and AI, while ensuring critical thinking and professional judgment guide all conclusions.
Stay current with emerging fraud trends, analytical techniques, and AI capabilities, applying them to continuously improve the precision and impact of insights.

we are looking for a Data Analyst (Maternity leave).
As part of data team, you will be the gateway of data from multiple sources and of multiple partners. The data team is a part of research & data science department, and its mission is to integrate, align, analyze, and extract data to serve decision making processes across.
Responsibilities:
Define and implement data policies, logics, and structures that will best serve the companys capability to improve its modeling, business understanding, and strategic decision making.
Own and create end to end data products, from raw data to monitoring and analysis tools.
Write and execute complex SQL queries for data retrieval and alignment.
Prepare on demand data analysis and reports for various stakeholders including management using Python/SQL/other data analysis instruments, processing large and complex data sets.
Full responsibility for new partners' data integration process, including business requirements definition, data processing and verification.
Explore new data sources and communicate insights to partners, internal stakeholders, and management.
Work closely with cross-functional teams, such as research, engineering, product, and finance, to define business needs and design data models to serve them.
Gain a wide knowledge of operational, business, and technological activities in order to add value and support achieving goals.
Assist to create structured data processes that will enable the companys scalable growth.

we are looking for a Risk Data Analyst.
As part of Risk Management team, you will be a part of a pivotal, growing organization within the company. The Risk Management departments mission is to analyze, review, and mitigate risk in decision making processes across .
As part of your role, you will:
Support the fair lending lifecycle including monitoring credit underwriting policies for disparate impact and conducting demographic portfolio analyses. Maintain regulatory compliance reporting and partner with cross-functional teams to identify risks and implement less discriminatory alternatives, as well as providing thorough documentation of all of the above.
Own end-to-end data products, from extracting raw data from complex datasets to developing sophisticated analyses, monitoring systems, and reports using Python, SQL, and other analytical tools.
Translate complex data models into actionable business intelligence with the goal of improving modeling, business understanding, and strategic decision making, as well as clearly communicating complex findings to partners, internal stakeholders, and management.
Partner with cross-functional teams across research, operations, product, and engineering to proactively identify and manage risks associated with new models and/or policies
Continuously broaden your knowledge of operational, business, and technological landscape and identify and execute high-value initiatives that contribute to the company's strategic goals.
Leverage AI-driven tools to automate workflows and drive operational efficiency across the team

As a Technical Account Manager (TAM) in our Enterprise Support, you will serve as the primary technical advisor and voice of the customer for a portfolio of fast-growing Israeli startups. You will play a crucial role in fostering their innovative and transformative work across AI/ML, compute (including accelerated and GPU workloads), containers, networking, storage, databases, serverless, security, and more. It's an opportunity to work closely with technical founders and engineering leaders, helping them make the right architectural decisions at each stage of their growth journey.

Key job responsibilities
- Act as the primary technical advisor for your startup customers, building trusted-advisor relationships with CTOs, VP Engineering, and founding teams.
- Engage across the full customer organization, from individual engineers through to C-suite, adapting your communication to each audience.
- Help accelerate customer growth by crafting strategies that balance startup velocity with Well-Architected best practices across AI/ML, compute, containers, and data infrastructure.
- Conduct architecture reviews, operational assessments, and proactive risk identification. Analyze service events and operational patterns to drive continuous improvement in resilience, performance, and cost efficiency.
- Drive technical discussions with founding teams on architecture trade-offs, incident response, and risk management as their systems scale.
- Uplift customer capabilities by running workshops, enablement sessions, and brown bag sessions tailored to their technical needs.
- Champion and advocate for your customers by connecting their feedback to our engineering teams, influencing platform evolution, and ensuring rapid resolution of concerns.
- Collaborate with Solutions Architects, Business Developers, Professional Services, and Account Managers to deliver coordinated customer value.
- Develop and share technical content such as blog posts, reference architectures, and reusable solutions that help startups solve common challenges and reduce time-to-market.

were looking for a Head of Analytics to define and elevate how analytics is practiced across the organization.

This is a senior individual contributor role with broad organizational influence. Beyond delivering insights, youll define how success is measured, establish analytical standards and methodologies, and help teams across Product, Growth, Marketing, Sales Operations, and Content make better decisions with data.

Youll serve as a trusted advisor to senior stakeholders, raise the analytical maturity of the organization, and help drive the next generation of AI-powered analytics.

What Youll Do:

Promote Data-Driven Decision Making
Partner with Product, Growth, Marketing, Sales Operations, and Content teams to understand business challenges and enable better decision-making.
Define KPI frameworks and measurement strategies that align with business goals.
Translate complex business questions into clear analytical approaches and actionable recommendations.
Act as a trusted advisor to stakeholders, challenging assumptions and influencing decisions through data.

Build Analytics Excellence
Establish analytical methodologies, standards, and best practices across the organization.
Lead the companys approach to experimentation, KPI definition, and performance measurement.
Mentor analysts and help raise the overall analytical capabilities of the team.
Promote a culture where data-driven decision-making becomes the default.

Drive Product, Growth & Subscription Analytics
Partner with teams across the customer lifecycle, from acquisition and activation through conversion, retention, and monetization.
Analyze user behavior, subscription performance, pricing initiatives, and product changes to uncover growth opportunities.
Connect analytical findings to clear business actions and measurable outcomes.

Shape the Future of AI in Analytics
Leverage AI tools to accelerate analysis, insight generation, and decision-making.
Help design AI-powered analytical workflows and data analysis agents.
Continuously identify opportunities to improve how analytics creates business value through AI.

Improve Analytics Infrastructure
Identify gaps in tracking, data quality, measurement, and reporting.
Partner with data and engineering teams to improve data availability, reliability, and accessibility.
Drive the development of dashboards, alerts, and scalable self-service analytics capabilities.
Ensure business teams can confidently access and interpret the data they need.

We are currently seeking an experienced Product analyst to join our new and growing Data & Analytics team in Tel Aviv!

As a key member of our core Data & Analytics team, you will work closely with decision-makers within the Product department. In this role, you will drive analysis into our business health and stand at the forefront of identifying actionable trends, challenges, and opportunities.

With limitless potential, you will help shape and prioritize our strategic decisions using data-driven insights and thoughtful, passionate recommendations. This isnt your typical analyst role, it is a highly visible position where you will help scale our operational cadence and grow into an influential leader within the company.

** This position is temporary for a duration of 8 months, with an option to extend

What You'll Own
Work closely with our Product Managers to monitor, measure, and drive clarity around product performance across both self-serve (B2C/PLG) and enterprise (B2B) user journeys.

Analyze complex, customer-reported data issues and collaborate closely with R&D and Product Managers to resolve them.

Build and maintain the companys core reports and dashboards, balancing your focus across analytics, strategy, process, and infrastructure.

Define and track KPIs for various departments, equipping them with the tools and insights needed to take data-backed action.

Partner with Marketing to analyze acquisition, activation, and conversion funnels, measuring campaign and channel effectiveness end-to-end.

Bring new perspectives and innovative ideas to the table, and continuously measure their impact on the business.

Lead the way to consume data through a single, unified source of truth.

We are on the search for a Marketing Data Analyst who will join our Data team in Tel Aviv. As a Marketing Data Analyst in a Data-Driven company, you will have a significant opportunity for impact and drive the company to new heights. You will influence decision-making processes throughout marketing budget decisions, new user journeys, be a partner to cross-functional teams within data, marketing & Top of Funnel, and drive strategic business decisions that shape the direction of the company.

Here are a few of the things you will do:

Own end-to-end analytics for marketing and product growth initiatives, directly supporting business strategy and growth, including and not limited to acquisition, lifecycle, and user onboarding.

Act as the primary data owner for the planning, monitoring, and measuring a variety of marketing initiatives, ensuring accuracy, consistency, and trust in decision-making across stakeholders, enabling your stakeholders to learn from data and iterate with confidence.

Translate complex datasets from multiple sources into clear, actionable insights with measurable business impact.

Proactively initiate and perform ad hoc research and deep-dive analyses to surface unknown business opportunities to inform strategic and operational decisions.

Partner with marketing, product, finance and company leadership to drive cross-functional, data-driven outcomes.

Design, improve, and scale analytics infrastructure, data pipelines, and workflows to suit your analytics needs; work hands-on using tools such as SQL, DBT, Looker, and partner closely with Data Engineering and Data Science teams.

Design, execute, and evaluate A/B tests using rigorous statistical methods and well-defined KPIs, including ownership of appropriate KPI selection.

Present insights and recommendations to senior stakeholders with clarity and influence, through written communication, presentations, and via dashboards.

Contribute expertise to shared analytics standards, best practices, and knowledge forums (e.g., Data Guild).

abra professional services is seeking a Data Analytics Architect / Principal Data Engineer We are looking for a skilled Data Analytics Architect / Principal Data Engineer to lead the organization’s analytics data domain, design large-scale data architecture, build advanced analytical models, define organizational data modeling standards, and implement innovative AI and LLM-based technologies. This role requires deep expertise in data engineering, analytics, BI, SQL, PostgreSQL, data modeling, performance optimization, data governance, and the integration of AI tools into data engineering processes. A full-time hybrid position based in Central Israel. The first 4–6 months will be based in Tel Aviv, followed by a transition to the Lod area. The position includes 1 day a week remote. Key Responsibilities:
* Design and develop data architecture that supports large-scale analytics and business intelligence.
* Lead the design and implementation of complex data models and enterprise data modeling solutions.
* Define organizational standards, methodologies, and best practices in the data domain.
* Optimize database performance, analytical queries, and reporting processes.
* Lead LLM-based development and implement AI tools within data engineering processes.
* Mentor data engineers, conduct code reviews and architecture reviews.
* Collaborate with management and business stakeholders to build a technological roadmap.
* Establish frameworks for data quality and data governance.
* Lead initiatives to improve the reliability and stability of BI and analytics systems.
* Evaluate new technologies and lead the adoption of innovative solutions across the organization.
* Lead the design and implementation of end-to-end analytics platforms.

we are looking for a Staff Product Manager.
As a Staff Product Manager on our Identity Resilience team, youll drive the strategy and execution of core Identity resilience capabilities, expanding to new use cases, and ensuring our customers identity providers and infrastructure are continuously operational, secure, and compliant. This role is a unique opportunity to shape the future of the identity market. You will partner closely with engineering, design, sales, and customers to deeply understand their challenges and bring a differentiated, market-leading solution to life.
Key Responsibilities:
Own and execute the product roadmap for Operational Continuity across the Identity fabric - including Okta, Ping, Entra ID, Active Directory, and the connected infrastructure.
Balance customer needs, competitive dynamics, and business objectives, to drive outcomes that move the business.
Drive adoption and engagement of identity resilience features, working closely with enterprise customers to understand their pain points and requirements.
Collaborate with cross-functional teams, including engineering and design, marketing, and sales to ensure the product roadmap aligns with business goals and customer needs.
Own the full product lifecycle, from ideation and discovery to launch and ongoing iteration.
Stay up to date on industry trends, identity security best practices, and compliance frameworks. Know what competitors ship before our customers ask about it.
Define key success metrics and use data-driven insights to make product decisions.
Represent the product internally and externally, serving as a subject matter expert in Identity Infrastructure Resilience.
Drive AI-native product development, leveraging agentic workflows to move 10X faster across research, design, and delivery.