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As a Senior Data Analyst , youll be a key part of our Data Group, working alongside top-tier data analysts, data scientists, and data engineers.

Youll play a central role in shaping how data drives our product, impacting hundreds of thousands of users by turning complex data into actionable insights.

Data is at the heart of everything we do . In this role, youll help optimize key KPIs, enhance data pipelines, and enable smarter, data-driven decisions across the company.

What Youll Actually Do:

Own product analytics end-to-end for a core dataset within Data Group, serving as the primary authority on analytics for your teams data, with autonomy to define standards, methodologies, and direction.
Lead advanced, impact-driven analyses across the full lifecycle of the dataset - from supplier ingestion and enrichment logic through algorithms, product usage, and customer impact.
Work closely with Product, R&D, and Data Engineering to shape enrichment logic, guide decisions, and translate complex data problems into actionable insights.
Build and own core dashboards and analytical tools that become a trusted, day-to-day foundation for decision-makers working with your dataset.
Drive data initiatives that measurably improve data quality, product performance, user experience, and business outcomes for your domain.

Were looking for an Office Manager to own the day-to-day office operations while actively contributing to employee experience and wellbeing. The role supports the business by creating a workplace that is functional, welcoming, and culture-driven, and offers hands-on involvement in a variety of HR and EX projects.

You will report to the Employee Experience & Spaces Manager and work closely with partners across the organization. This is a full-time, on-site role.

What Youll Actually Do:

Manage daily office operations across all areas - reception, kitchen, meeting rooms, supplies, deliveries, and maintenance.
Own vendor relationships (food, cleaning, supplies, maintenance, etc.), including sourcing, negotiation, and ongoing management.
Ensure the workspace is organized, functional, and inspiring - through daily maintenance and projects like seating plans and space improvements - supporting business needs and company culture.
Serve as the main point of contact for employee requests and office-related needs.
Support HR processes, including onboarding and offboarding, to ensure positive employee experience.
Support Employee Experience initiatives - from events and activities to Happy Hours and other culture-building efforts.
Support travel logistics, including booking flights and accommodations.
Manage and track the office and Employee Experience budget, including planning, monitoring expenses, and identifying cost-effective solutions.

In this role, youll play a pivotal part in answering the why behind user behavior, helping us understand how sales professionals discover, adopt, and extract long-term value from platform.

What Youll Actually Do:

Act as an embedded data partner for a Product squad (e.g. Growth, Core Platform, or Data Enrichment), influencing product decisions by quantifying opportunities and forecasting impact
Perform deep-dive analyses across the full user journey, from first interaction and activation to retention and power usage
Design, execute, and analyze complex A/B tests and experiments, providing clear recommendations on whether to iterate, scale, or sunset features
Partner with Product Managers to define success metrics, North Star KPIs, and measurement frameworks for new and existing product initiatives
Translate complex datasets (SQL / Python) into clear, compelling insights and narratives for stakeholders, including senior leadership
Build and maintain self-service dashboards (Tableau, Looker, or similar) that empower Product teams to answer day-to-day questions independently
Continuously improve data accessibility, quality, and trust across Product Analytics

As a Product Marketing Manager focused on Partnerships, you will be the key Product Marketing liaison for our rapidly growing Partner Ecosystem. This role is critical to scaling reach by driving the joint Go-to-Market (GTM) strategy for our key partners and integrations. You will work directly alongside the Partnerships team, providing the strategic marketing expertise and essential content required to ensure every joint launch and enablement initiative drives mutual success.

What Will You Be Responsible For?

Own Partner GTM Lifecycle: Lead the full GTM process for new and existing partners, from initial kickoff calls and defining messaging to executing the launch strategy.
Drive Integration Marketing: Manage the marketing and process checklists for strategic product integrations (e.g., CRM connectors like Monday.com), ensuring a flawless and impactful rollout.
Create Partner-Focused Content: Develop high-impact, persuasive content, including joint solution briefs, better-together stories, blog posts, and case studies that showcase partner success stories and customer ROI.
Empower Sales Teams: Design and deliver effective sales enablement materials and training sessions, ensuring both Partnerships team and our partners' sales organizations are fully equipped to position and sell joint solutions.
Act as the Marketing Counterparty: Serve as the strategic marketing point of contact (the PMM/marketing contact) for our partners to facilitate joint content and GTM execution.
Support Partner Activation: Lead the marketing aspects of new partner onboarding and join strategic joint calls to provide expert positioning and GTM support.
Measure and Optimize: Track performance of partnership GTM initiatives, leveraging data to optimize content and refine marketing strategy against key partnership KPIs.

Every role at our company is designed with a clear purpose: to integrate collective efforts into our shared success, functioning as pieces of a collective brain. This role is key to expanding our network and driving revenue growth, directly contributing to vision of revolutionizing the B2B sales landscape.

What will you be responsible for?

Partner Ecosystem Development

Identify, evaluate, and validate high-impact partnership opportunities that align with strategic goals and growth priorities.
Build and nurture strong, trust-based relationships with key stakeholders across partner organizations, including executives, product, engineering, sales, and marketing.
Drive Commercial Impact

Lead end-to-end contract negotiations and structure commercial agreements that incentivize mutual growth, maximize profitability, and support long-term success.
GTM Strategy & Execution

Collaborate cross-functionally with Marketing, Product, and Sales to design and execute joint go-to-market motions, including co-marketing campaigns, partner enablement programs, and co-selling initiatives that deliver measurable business results.
Serve as the internal advocate for partners, influencing product features and roadmap decisions based on market needs, partner feedback, and ecosystem trends.
Performance Optimization

Track, measure, and analyze partner performance to assess impact, uncover insights, and recommend optimization strategies.

As an AI Engineer on our Search Engine team, youll help build the state-of-the-art, powered-by-AI search. Youll design and operate high-performance services that transform user intent into fast, accurate, and reliable results. Your work sits at the foundation of how customers discover companies and contacts, delivering a seamless, intelligent search experience at scale.

What You'll Actually Do:

Build lightning-fast APIs serving recommendations, contact, and company data to millions of users daily.
Design event-driven systems that sync data across products and data lakes in real-time.
Develop agentic flows and integrate AI solutions that optimize user experience.
Optimize data retrieval, caching, and indexing for sub-second response times at scale.
Create fault-tolerant services with robust monitoring and CI/CD that just work.
Collaborate with Data Scientists and ML engineers to power AI-driven features and pipelines that customers use.

As a Data Architect, youll sit at the intersection of data engineering, ML systems, and platform architecture. Youll own the patterns, guardrails, and data platform capabilities that let teams ship AI-native, low-latency experiences at scale-safely, reliably, and cost-effectively.

What Youll Actually Do:

Design AI-native data systems: LLM/RAG pipelines, embeddings & vector search, and real-time inference- production-grade and observable.
Evolve the data platform: Batch + streaming + lakehouse; CDC, orchestration, lineage/quality, and clear data contracts for ML readiness.
Set org standards: Contract-first APIs & event schemas, ADRs, SLOs (latency/MTTR/cost); lead design reviews and architecture spikes.
Modernize pragmatically: Guide adoption of Databricks, Kafka, Airflow, Kubernetes, Terraform, and modern observability- fit to purpose.
Lead by influence: Mentor Tech Leads, partner with Product/ML/Platform, and turn goals into resilient, measurable systems.

In this role, youll own the engineering backbone that enables our data engineers & data scientists to experiment, innovate, and deploy production-ready models, ensuring our systems are robust, scalable, and future-proof.

What You'll Actually Do:

Lead and mentor a team of Data Engineers, fostering a culture of technical excellence, accountability, and collaboration.
Define and drive the teams technical roadmap, standards, and best practices for data modeling, performance, and reliability.
Design, build, and evolve scalable embedding pipelines and recommendation infrastructure, from algorithm tuning and training workflows to production deployment.
Manage and optimize vector db, ensuring efficient indexing strategies, search performance, and low-latency retrieval.
Lead the development of retrieval services leveraging Approximate Nearest Neighbor (ANN/KNN) techniques such as HNSW, IVF, and Product Quantization (PQ).
Ensure reliability, observability, and scalability across all real-time data systems powering our recommendation engine.
Collaborate with Data Science, Product, and Analytics to operationalize models, validate KPIs, and translate technical insights into actionable product improvements.

As a Senior BI Data Engineer, youll join a company where culture isnt a slogan - its our DNA.

Youll be part of a data-driven organization where every voice matters, working at the heart of our BI team to raise the bar for analytical excellence.

In this role, youll take end-to-end ownership of complex, high-impact BI initiatives, shaping how measures success, makes decisions, and scales. Your work will directly impact over 1M users worldwide, empowering B2B sales teams to unlock new revenue opportunities and drive sustainable growth.

What Youll Actually Do:

Lead the design and evolution of BI data foundations, owning key product and GTM metric definitions and data models
Build, scale, and maintain high-quality ELT pipelines and curated datasets (raw → modeled → semantic) that power dashboards and self-serve analytics
Collaborate closely with Data Scientists to operationalize machine learning use cases, including feature pipelines and analytical datasets
Take senior ownership within the BI team by mentoring peers, reviewing critical work, and promoting best practices in analytics engineering and semantic modeling
Own the performance, cost, and reliability of the data warehouse and BI layer by optimizing models, queries, and incremental processing patterns
Translate ambiguous business questions into clear, governed metrics and scalable data models, partnering with Product, RevOps/GTM, Finance, and Analytics
Establish and maintain strong data quality, observability, and monitoring practices (tests, SLAs, anomaly detection)
Drive standardization and automation across the BI development lifecycle, including version control, CI/CD, documentation, and release processes
Stay ahead of modern BI and analytics engineering trends, including AI-assisted development, and apply them pragmatically to increase trust and speed

As a Senior Full Stack Developer, you'll build the customer-facing products that hundreds of thousands of users interact with daily. Your code bridges AI-powered backends with sleek frontends-creating the seamless experience that makes Sales Streaming feel like magic.

What You'll Actually Do:

Build and scale full-stack applications using Node.js, NestJS, and React.js that handle millions of user interactions.
Design APIs, microservices, and backend systems that power real-time sales intelligence features.
Write comprehensive tests (unit, integration, end-to-end) because quality isn't negotiable at our scale.
Optimize performance and eliminate bottlenecks-every millisecond matters when salespeople are prospecting.
Deploy through CI/CD pipelines in microservices architecture that scales with our explosive growth.
Collaborate with Product, Design, and Engineering teams in fast-moving Agile squads.

Were looking for a Talent Acquisition Lead to join our growing team and play a key role in shaping and executing our hiring strategy. In this position, youll lead end-to-end recruitment for strategic and executive-level roles, focusing on attracting top-tier talent that drives business impact. Youll spearhead data-driven talent initiatives and partner closely with senior stakeholders to ensure hiring aligns with our companys goals. This role is critical to supporting our continued growth and upholding our high standards as we scale and innovate in the Fintech space.
What are we looking for
Lead full-cycle recruitment for key, strategic, and executive-level roles.
Build and execute talent strategies that support business objectives.
Partner closely with leadership to define hiring plans and talent priorities.
Serve as a mentor, promoting best practices and driving talent KPIs.
Use data and recruitment metrics to improve and optimize processes continuously.
Deliver an exceptional, inclusive candidate experience throughout the hiring journey.
Lead strategic talent initiatives, including employer branding and diversity hiring programs.
Optimize tools, workflows, and sourcing strategies to enhance efficiency and scalability.

Were looking for a highly organized, proactive, and energetic Office Manager to support the daily operations of our Tel Aviv headquarters. This person will play a key role in creating a smooth, professional, and fun work environment that reflects our vibrant culture. Youll be the heart of our office-ensuring everything runs seamlessly, supporting our teams and helping make us an exceptional place to work every day.
Key Responsibilities:
Oversee the day-to-day operations of the TLV office, maintaining a welcoming, productive, and well-organized workspace
Serve as the main point of contact for employees, guests, vendors, and building management
Manage office logistics, including supplies, equipment, pantry, and facility maintenance
Support onboarding processes and employee engagement initiatives
Manage office-related budgets, expenses, and vendor relationships
Help ensure a safe, efficient, and inspiring workspace for all.