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Bringg

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  • Analytics Engineer

    TLV

    unspecified Salary not disclosed

    Analytics Engineer TLV Bringg is the infrastructure behind delivery operations for some of the world's largest retailers. Every year, we process over 200 million orders through our smart, automated omnichannel platform experience. When it works, deliveries land on time. When it doesn't, customers feel it fast - and so do we. We are looking for an Analytics Engineer to maximize the potential of our data ecosystem and drive its future growth. On a day-to-day basis, you will leverage our fully established Medallion Data Architecture in Google BigQuery, using SQL, Python, and dbt to implement new data solutions, support upcoming strategic initiatives, and maintain robust data models. By managing our unified semantic layer and treating data as code, you will ensure a single source of truth that directly fuels Bringg's advanced analytics, machine learning projects, and GenAI operations. In this role, you will: - Leverage & Scale the Medallion Pipeline: Own, optimize, and extend our production-ready dbt data models across Bronze, Silver, and Gold layers in Google BigQuery to support new business use cases. - Ensure Data Quality & Governance: Implement and enforce robust dbt data tests to surface inconsistencies early, define model health scores, and maintain comprehensive column-level documentation. - Own the Semantic Layer: Maintain and scale our unified dbt Semantic Layer, guaranteeing a single source of truth for business metrics utilized by internal business operations, customer-facing embedded analytics, and AI/ML initiatives. - Bridge Engineering and Impact: Collaborate closely with Data Engineers, Data Scientists, and BizOps teams to ingest new

  • Data Engineer

    TLV

    unspecified Salary not disclosed

    Data Engineer TLV Bringg processes over 200 million orders a year through infrastructure that some of the world's largest retailers depend on daily. When the data pipeline works, deliveries land on time at scale. When it doesn't, customers feel it within the hour. We're looking for a Data Engineer to own and evolve the data infrastructure that sits underneath all of it. The pipeline is already built and running at real scale. Your job is to go deeper - embedding data further into the business and pushing the AI/ML layer forward. This isn't a maintenance role. It's an ownership role. In this role, you will: - Our data pipelines run faster, scale cleaner, and break less - because you own the architecture and optimization of our BigQuery warehouse end-to-end. - High-throughput processing and real-time analytics become possible at a scale we haven't reached yet - because you're shaping the distributed systems that get us there. - Data capabilities land in the hands of the people who need them - data scientists, engineers, and product stakeholders from problem to solution, not as a downstream dependency. - The infrastructure gets more reliable, more automated, and easier to monitor - because you treat DevOps and MLOps as part of the job, not someone else's problem. - AI/ML models move from development into production and stay there - not handed off, but owned through the full deployment lifecycle. What you Bringg Must have: - 4+ years building high-scale data pipelines and managing cloud data

  • Revenue Marketing Manager

    USA

    unspecified $130K-$160K

    Revenue Marketing Manager USA We're Bringg - A delivery management leader, serving 800+ customers globally. Leading enterprise retailers and brands use Bringg to grow their delivery capacity, reduce costs, and improve customer experiences. Every year, we process over 200 million orders through our smart, automated omnichannel platform experience. The Opportunity Most B2B marketing organizations run campaigns. We're looking for someone to build a revenue motion. As Revenue Marketing Manager, you'll own the design, project management, and execution of how Bringg drives new business pipeline-from target account awareness through active deal support. You'll coordinate ABM, demand gen, and sales as a single integrated motion: designing plays, running campaigns, project-managing the cross-functional work to bring them to market, and holding the team accountable to the plan. You'll report to the Sr. Director of Marketing and partner closely with SDR/AE teams, content and creative, and marketing ops. This is a senior IC role stepping into an early-stage ABM program with foundational pieces in place and a clear mandate to build it into a mature, intent-driven pipeline engine. One thing worth saying directly: we're looking for someone who uses AI to exponentially improve the way they and the revenue marketing function works-building automations, accelerating research and copy, and streamlining campaign ops. If that describes how you already work, we want to talk. What You'll Own Revenue motion and campaign design - Design coordinated plays that align marketing activity with sales outreach-so every campaign touch reinforces what sales is saying, and every sales conversation is

  • Backend Engineer

    TLV

    unspecified Salary not disclosed

    Backend Engineer TLV Bringg is the infrastructure behind delivery operations for some of the world's largest retailers. Every day, millions of real-time transactions run through this platform. When it works, deliveries land on time. When it doesn't, customers feel it fast - and so do we. We're looking for a Backend Engineer who develops with AI as their primary tool - someone who sees where software engineering is heading and wants to be at the front of it. Someone who wants to set the standard for what great AI-driven development looks like - and do it on a complex, high-stakes system, alongside engineers who care deeply about what they ship. We offer a flexible Hybrid work from our TLV offices, located in Azrieli Towers. What You'll Do - AI-driven development moves from individual habit to shared engineering practice - you lead by example, and the team's baseline rises because you're in it. - Core services become more stable, faster to ship, and better understood - because you own them from architecture through production, not just the ticket in front of you. - Algorithm-driven components that power real-time routing and delivery decisions get sharper - you build them, evolve them, and understand what's actually happening under the hood. - Architectural decisions are better-informed - you're in the room, contributing to system design across a complex distributed environment where choices have real downstream consequences. - Own features end-to-end - from the first design conversation with product through to production, with full visibility

  • Enterprise Account Executive

    USA

    unspecified $290K-$330K

    Enterprise Account Executive USA We're looking for an Enterprise Account Executive to own a focused set of high-value accounts - not a volume pipeline, but the right conversations with the right companies at the right level. Bringg is an enterprise SaaS platform that powers last-mile delivery for some of the world's largest retailers and logistics providers. Our customers don't evaluate us annually and swap vendors. They embed us in their operations. When you sell Bringg, you're selling a solution the business will depend on - and the buying conversation reflects that. It happens at the C-suite. It's anchored in financial outcomes. And it takes someone who can build trust before there's even an active deal. What You'll Do - Your accounts move forward because you built the C-suite relationship before anyone asked you to - and created urgency where there was no active deal. - Your deals have a single owner. You bring Solutions, Product, and Finance into the room at the right moment and keep complex cycles moving. - Your business cases are defensible and realistic - you translate operational challenges into revenue impact, cost-to-serve, and margin, and you can clearly articulate the math in the room. - Your stakeholder management is second to none. You'll keep the customer aligned and ensure that everyone at Bringg knows we're investing in this deal. - Your pilots convert. You structure them to succeed, not just to buy time. - Your handoffs are clean. CS inherits a customer who knows exactly what