Jobs in Tel Aviv-Yafo

Description Who We Are: Incredibuild empowers developers to radically accelerate their work by shortening build times, enabling more iterations, and speeding up product releases. Thousands of customers - including world-leading brands - rely on our platform to streamline and accelerate everything from compilation to release automation, resulting in major resource savings and faster time-to-market. We’ve helped over 200,000 developers at companies like Microsoft, Samsung, Nintendo, Amazon, and many others build some of the world’s most impactful software across gaming, financial services, embedded systems, and more. As a Sales engineer, you will partner with enterprise customers to design and deliver solutions that accelerate CI/CD pipelines and developer productivity. This is a customer-facing, pre-sales role combining deep technical expertise (backend systems, CI/CD, DevOps) with strong business and communication skills. You will lead technical discovery, run POCs, and act as a trusted advisor throughout the sales cycle and early onboarding. Key Responsibilities: • Own the technical engagement from discovery through POC and rollout • Analyze customer CI/CD and build environments to identify bottlenecks • Design scalable solutions leveraging Incredibuild across backend and DevOps ecosystems • Build ROI-driven value propositions using performance metrics • Partner with Sales, Product, and Engineering to drive successful deployments • Create reusable assets (POCs, best practices, demos) • Support early-stage onboarding and expansion Requirements Requirements: • 5+ years in a customer-facing technical role (Solution Engineer /Application Engineer/Pre-Sales Engineer /Sales Engineer) • Strong hands-on experience with CI/CD systems (e.g., Jenkins, GitHub Actions, GitLab, Azure DevOps) • Strong focus on backend products architectures including APIs, distributed systems, and server-side technologies • Proven experience with build systems (e.g., CMake, MSBuild, Gradle, Bazel) - Must • Strong experience with Linux/Windows environments and backend infrastructure • Experience with cloud platforms (AWS / Azure / GCP) • Availability to work Monday–Friday, aligned with US time zones - Must • Proven ability to work with enterprise DevOps environments • Excellent communication skills with both technical and business stakeholders Nice to Have: • Experience with Kubernetes / containerized CI environments • Familiarity with compiler toolchains and caching strategies • Background in DevTools / developer productivity / CI/CD acceleration • Experience in performance analysis and pipeline optimization

Description Responsibilities • Reach out to a high volume of outbound leads and follow up on inbound leads from multiple sources • Work against new business goals on a weekly, monthly, quarterly, and annual basis • Partner closely with Marketing and Account Executives to nurture leads from first contact through to valid opportunities • Collaborate across Sales, Marketing, and Product to share critical customer feedback • Regularly monitor leading indicators of success and report on pipeline health • Drive systems, AI tools, and process improvements that grow the new business pipeline • Help build and refine a scalable training and development curriculum for the SDR team • Establish and maintain effective 1:1s, weekly meetings, and outreach cadences About Incredibuild Incredibuild — the pipeline acceleration company — empowers developers to radically accelerate their work by shortening build times, supporting agentic AI development needs, and enabling more iterations and faster product releases. Hundreds of customers, including world-leading brands, trust our platform to streamline and accelerate everything from compilation to release automation, saving significant resources and accelerating time-to-market. We’ve helped over 200,000 developers at tech giants like Microsoft, Samsung, Nintendo, and Amazon build some of the most successful software across industries such as gaming, financial services, embedded software, automotive, and more. In recent years, Incredibuild has been in hyper-growth, expanding globally while adapting our solutions and operations to the changing market landscape to keep growing our market share. This is your opportunity to join a category leader and make a difference. The Position We are looking for an experienced and talented SDR professional to join our fast-growing sales organization! In this role, you’ll help establish our Sales Development function, reaching out to a high volume of outbound leads and following up on inbound leads generated from multiple sources. You’ll work closely with the Marketing and Account Executive teams to nurture leads from initial contact through to valid opportunities and closed-won deals, and you’ll be measured against new business goals on a weekly, monthly, quarterly, and annual basis. We’re looking for someone who can bring structure to 1:1s, weekly meetings, and overall cadences, and who’s comfortable refining processes and implementing new systems. You should be passionate about working in a team environment and bring the accountability needed to grow our business funnel significantly.  Requirements Requirements • At least 1 year of experience in an SDR role • Proven ability to work against aggressive weekly targets • Highest level of self-discipline and professionalism • Strong interpersonal and communication skills, with the ability to work effectively across a wide range of stakeholders • Detail-oriented, organized, and a self-starter • Solid understanding of SDR, sales, and CRM processes and systems • A genuine passion for sales and a desire to grow into additional sales positions Nice to Have • Familiarity with DevOps / developer tools • Experience with sales engagement or AI-assisted prospecting tools Location & Work Model Onsite in Tel Aviv / Hybrid 2 days from home What We Offer Amazing culture and energy Fair compensation for meeting and overachieving targets Company benefits Clear career growth path to join the sales team

Description Member of Technical Staff - Islo Engineering teams want background agents that pick up tasks, run on their own, and hand back real results - PRs, fixes, verified outcomes. Islo is the runtime for autonomous coding agents. We run agents in isolated environments connected to real tools with a policy layer that blocks what you didn't approve. Enterprise teams use us to deploy agents they can actually trust. We're a small team in Tel Aviv. Engineers figure out what to build, talk to customers directly, and ship it. We're growing fast and hiring people who want to own product - not just tickets. If you're ready to solve hard problems in a space that's being invented in real time, come join us. As a Member of Technical Staff You will engineer innovative cloud solutions: - Build robust, scalable cloud services in Rust, Python and TypeScript for Islo's agent runtime. - Design and implement secure, isolated agent environments using MicroVMs, virtualization, containers, and other isolation techniques. - Develop developer-facing surfaces creating clean abstractions over low-level infrastructure. - Build agent orchestration, policy engines, and verification layers that let background agents pick up tasks, use real tools, and hand back results humans can review. - Build resilient, high-performance solutions. You will shape the product: - Own problems end-to-end - from understanding the user's pain to shipping the solution. - Talk to customers regularly: discovery calls, onboarding sessions, debugging their workflows, gathering feedback on what we shipped. - Turn messy, ambiguous requests into clear product decisions - what to build and what to cut. - Write lightweight specs and design docs when it helps the team move fast; skip the ceremony when it doesn't. - Prioritize the backlog based on customer impact and what the team learns in the field. - Demo new capabilities to customers and iterate based on what you learn in the room. - Join customer calls - technical deep-dives, onboarding, troubleshooting live agent runs. - Attend and speak at conferences and meetups on agents, developer tools, and AI infrastructure. - Be the technical face of Islo with early adopters: answer hard questions, collect real-world failure modes, bring insights back to the team. We encourage you to apply even if your experience doesn't perfectly align with all requirements. We prioritize a positive attitude and potential over an exact match in experience or skills. Juniors are welcome - if you've shipped something, enjoy talking to users, and want to learn how autonomous agents actually run in production, we'd love to hear from you.

Description Didn’t find a role that matches your experience just yet? No worries—apply to our “Looking for Something Else? Let’s Keep in Touch!” position. We’ll review your profile and keep you in mind for future opportunities. If something relevant opens up, we’ll be happy to reach out!

Description Who We Are: Incredibuild is the leading platform empowering developers and enterprises to radically accelerate their development cycles. We help world-leading brands like Microsoft, Citi Bank, GM, Amazon, and Adobe shorten build times, allowing for more iterations, faster product releases, and significant resource savings. Our technology streamlines and accelerates everything from compilation to release automation, dramatically expediting time to market for our clients. You aren’t just "fixing CI/CD pipelines" - you are building a robust Internal Developer Platform (IDP) and creating the tools that enable our engineers to ship high-performance code at scale. If you love writing clean code and get equally excited about a perfectly orchestrated Kubernetes cluster or an elegant Terra grunt module, you’ll fit right in. What you'll do: • Architect & Build: Take full ownership of our infrastructure, from backend services to cloud resources. • Empower Developers: Develop and maintain our homegrown IDP, ensuring a seamless "golden path" for engineering teams. • Scale the Stack: Design and manage scalable, reliable environments using AWS, Argo CD, and Helm. • Automate Everything: Build sophisticated CI/CD workflows using GitHub Actions and manage stateful infrastructure with Terra grunt. • Innovate: Evaluate and integrate new CNCF tools and internal utilities to keep our platform at the cutting edge. Requirements • 3-5 years of hands-on experience in DevOps, Platform Engineering, Site Reliability Engineering (SRE), or Cloud Infrastructure roles within modern SaaS environments. • Hands-on experience deploying, operating, and troubleshooting Kubernetes environments in production. • Strong experience working with AWS services and containerized workloads. • Proven experience using Terraform or Terragrunt to provision, manage, and maintain cloud infrastructure at scale. • Experience building and maintaining CI/CD pipelines using tools such as GitHub Actions. • Familiarity with GitOps practices and technologies including Argo CD and Helm. • Strong scripting and automation skills using Python, Bash, Go, or similar languages. • Ability to develop internal tools and operational automation that improve developer productivity and platform reliability. • Passionate about solving infrastructure challenges related to scalability, reliability, security, and operational efficiency. • Committed to reducing developer friction and improving the overall engineering experience. How We Work We are a small, highly collaborative team with a strong sense of ownership. Engineers are encouraged to take initiative, contribute to technical decisions, and have a meaningful impact on the platform's evolution. We move quickly while maintaining high engineering standards, balancing pragmatism with long-term maintainability. Our Tech Stack AWS | Kubernetes | Terraform | Terragrunt | GitHub Actions | Argo CD | Helm | Homegrown Internal Developer Platform (IDP).

Description ZyG is revolutionizing eCommerce with the first Agentic Operating System for eCom scale. This end-to-end platform helps product inventors and entrepreneurs turn their products into successful Direct-to-Consumer businesses, addressing the three key challenges of eCom scale: poor product bets, lack of scale infrastructure, and the need for often-complex financing. With a connected system of AI Agents built on a unified data infrastructure, the OS analyzes scale-market fit, replaces the fragmented tools, agencies, and manual workflows that typically power eCom growth, and offers the financing needed for DTC scale. The Role We are looking for a CRO Manager to take ownership of ZyG's conversion and funnel optimization across both hands-on execution and strategic design. In this role, you will run and lead optimization initiatives, owning the full funnel end-to-end - from landing pages to purchase and growth - while also defining how optimization should be structured and scaled across brands. What you'll do • Own and optimize conversion across the full funnel (landing page to purchase), driving CVR, subscription opt-ins, and expansion (upsell/cross-sell). • Close the loop between creative, audience, and performance to the funnel - match the right creative, messaging, and offers to the right audience and funnel stage. • Optimize for economics, not just conversion - balancing immediate CVR with LTV and CAC payback, and weighing acquisition against long-term retention. • Lead experimentation, moving from ad-hoc testing to repeatable, systematic learning loops. • Build reusable optimization systems that scale across all current and future brands. • Translate brand learnings into structured, AI-ready inputs that power automated variant generation and personalization. • Take ownership of CRO KPIs, analyze performance, translate insights into continuous improvements, and communicate results clearly to leadership. • Work closely with Engineering, Data, and cross-functional teams (performance, creative, lifecycle, partnerships) to align and scale growth. Requirements • 5+ years of hands-on experience in CRO and funnel optimization, with deep experience in the D2C e-commerce space. • Analytical and data-driven, with a strong grasp of unit economics and the tradeoffs between CVR and LTV. • Strategic mindset with experience building systems, not just executing playbooks. • Experience defining KPIs and driving performance against them (not just working toward predefined goals). • A systems thinker who prefers building platforms and reusable frameworks over one-off fixes, and knows how to make work compound across multiple brands. • A self-starter comfortable operating at the intersection of execution and architecture, working closely with Product, Data, Engineering, and Creative.

Description ZyG is revolutionizing eCommerce with the first Agentic Operating System for eCom scale. This end-to-end platform helps product inventors and entrepreneurs turn their products into successful Direct-to-Consumer businesses, addressing the three key challenges of eCom scale: poor product bets, lack of scale infrastructure, and the need for often-complex financing. With a connected system of AI Agents built on a unified data infrastructure, the OS analyzes scale-market fit, replaces the fragmented tools, agencies, and manual workflows that typically power eCom growth, and offers the financing needed for DTC scale. The Role We're looking for a Customer Support Communications Manager to own the content and training that keep our support organization sharp across every brand we work with. You'll be the person who makes sure that no matter which brand a customer reaches out to, or which rep answers, the answer is accurate and on-voice - and that new reps get there quickly and stay sharp over time. What you'll do • Knowledge bases: Build and maintain accurate, easy-to-navigate knowledge bases for each partner brand, keeping content current as products, policies, and promotions change. • Help Centers: Own the customer-facing Help Centers end to end - structure, content, search performance, and the overall self-serve experience, tailored to each brand's voice. • Macros: Write, organize, and continuously refine support macros so reps can resolve common issues quickly and consistently, without sounding robotic. • Internal communications: Keep the support team informed on policy changes, product launches, known issues, and process updates - through clear, timely internal updates and a well-organized internal knowledge hub. • Rep training: Design and run onboarding training for new support reps, plus ongoing training/certification as processes, tools, and brands evolve. • Quality & consistency: Regularly audit tickets, macros, and Help Center content for accuracy, tone, and consistency across brands; close the loop with reps and stakeholders when gaps are found. • Cross-functional alignment: Partner with Product, Marketing, and Operations to make sure support content reflects the latest brand messaging, policies, and launches. • Metrics & reporting: Track how documentation and training impact support quality (CSAT, first-contact resolution, ticket handle time, escalation rates) and use that data to prioritize what to fix or build next. Requirements • 2+ years in a customer support enablement, or support communications role - ideally supporting more than one brand, product line, or business unit at once. • Excellent English written communication skills, with the ability to adapt tone and voice across different brands. • Proven experience building and maintaining knowledge bases, Help Centers, or macro libraries (e.g., Zendesk, Intercom, Gorgias, or similar). • Experience designing and delivering onboarding and ongoing training programs for support teams. • Comfortable working with support metrics (CSAT, FRT, resolution time) to identify gaps and prioritize work. • Able to juggle multiple brands, launches, and deadlines without dropping details. • A clear, structured thinker who is direct and actionable, and can turn ambiguous situations into simple, usable guidance for a team. • Fluent in English (Hebrew a plus, given our Tel Aviv base). Nice to Have • Experience in DTC/eCommerce or a multi-brand/agency-style environment. • Familiarity with AI-powered support tools (chatbots, AI-assisted macros, auto-suggested responses). • Experience working in a fast-moving startup environment. What We Offer • The chance to shape support operations and culture at an early-stage, well-funded startup from the ground up. • Direct exposure to a portfolio of fast-growing DTC brands, not just one. • • A collaborative, fast-paced team building genuinely novel AI-driven infrastructure for eCommerce.

Description ZyG is revolutionizing eCommerce with the first Agentic Operating System for eCom scale. This end-to-end platform helps product inventors and entrepreneurs turn their products into successful Direct-to-Consumer businesses, addressing the three key challenges of eCom scale: poor product bets, lack of scale infrastructure, and the need for often-complex financing. With a connected system of AI Agents built on a unified data infrastructure, the OS analyzes scale-market fit, replaces the fragmented tools, agencies, and manual workflows that typically power eCom growth, and offers the financing needed for DTC scale. The Role We are looking for a high-caliber Brand Revenue & Strategy Manager to work across a portfolio of DTC brands. This role sits at the intersection of brand strategy, growth, P&L, and partner management. You will analyze each brand as a complete business, identify its most important opportunities and constraints, and help shape the strategy required to scale it profitably. You will work with teams across performance marketing, creative, CRO, retention, operations, and finance, while helping our brand partners understand their performance, financial results, and strategic priorities. What you'll do • Brand Strategy: Define positioning, target audiences, product priorities, pricing, offers, and growth plans. • Revenue and P&L Analysis: Analyze revenue, margins, acquisition costs, retention, inventory, and contribution profit to identify opportunities and risks. • Commercial Diagnosis: Determine whether a brand’s primary constraint relates to its product, positioning, creative, media, funnel, pricing, retention, inventory, or unit economics. • Partner Management: Build strong relationships with brand owners, align on priorities, and work on product development and improvements, inventory costs, forecasts, and payouts. • Growth Planning: Translate business objectives into priorities across acquisition, creative, CRO, retention, merchandising, and operations. • Pricing and Monetization: Develop and evaluate pricing, bundles, promotions, subscriptions, upsells, and shipping thresholds. • Forecasting: Build scenarios connecting media spend, CAC, conversion, AOV, repeat revenue, inventory requirements, and profitability. • Business Reviews: Prepare clear internal and partner-facing reviews covering results, insights, risks, and recommended actions. • Product Feedback: Translate commercial insights into feedback that helps improve ZyG’s platform, agents, and workflows. Requirements • 3–6 Years of Relevant Experience: Background in DTC eCommerce, brand strategy, revenue management, growth strategy, consulting, or performance marketing. • Strong DTC Business Acumen: Deep understanding of how product, positioning, pricing, acquisition, creative, CRO, retention, operations, and inventory drive profitable growth. • Financial and Analytical Strength: Ability to analyze P&Ls, unit economics, margins, forecasts, cohort revenue, CAC and LTV. • Paid Media and CRO Fluency: Strong understanding of Meta and Google economics, attribution, creative performance, Shopify funnels, landing pages, checkout flows, and conversion testing. • Pricing and Business-Model Knowledge: Ability to evaluate pricing, bundles, subscriptions, promotions, and upsells based on customer behavior and unit economics. • Data Proficiency: Advanced data skills and confidence working with dashboards, financial models, forecasts, and cohort data. • Partner-Facing Communication: Ability to explain complex commercial and financial information clearly to founders and business owners. • Strategic Judgment: Ability to identify the root cause behind performance and prioritize the initiatives most likely to improve the overall business. • Structured Execution: Strong organization, documentation, project management, and follow-through across multiple brands. Advantages • D2C & Shopify Mastery: You know the e-commerce ecosystem inside out, including Performance marketing, CRO, app integrations, and purchase-funnel psychology.. • Data power user: Great ability to model business potential, deep proficiency in using AI tools and configuring automated workflows to multiply your own output and manage high-volume launches. • - Previous responsibility for a brand, category, or business-unit P&L • - Experience with Shopify and/or other D2C platforms • - Understanding of inventory planning, landed costs, cash flow, and working capital • - Experience launching or scaling consumer brands in the US • - Strong proficiency with AI tools and automated analytical workflows

Description ZyG is revolutionizing eCommerce with the first Agentic Operating System for eCom scale. This end-to-end platform helps product inventors and entrepreneurs turn their products into successful Direct-to-Consumer businesses, addressing the three key challenges of eCom scale: poor product bets, lack of scale infrastructure, and the need for often-complex financing. With a connected system of AI Agents built on a unified data infrastructure, the OS analyzes scale-market fit, replaces the fragmented tools, agencies, and manual workflows that typically power eCom growth, and offers the financing needed for DTC scale. The Role We are looking for a hands-on Amazon practitioner with strong growth potential to own a portfolio of brand accounts end to end - advertising, listings, launches, creative direction and the client relationship. This role sits at the intersection of Amazon performance, brand marketing and operations. You bring solid Amazon experience and the drive to go deeper: you get into the campaigns and the reports yourself, learn fast, and decide what happens next based on the data. What you'll do • Account Ownership: Own revenue, profitability, strategy and the weekly client relationship for a portfolio of Amazon accounts. • Amazon Advertising: Plan, build and hands-on optimize SP, SB and SD campaigns against ACOS / TACOS targets - bids, budgets, placements, harvesting, negation and architecture. • Diagnostics & Action Plans: Read Amazon's reports in depth, diagnose why sales moved, and turn it into a clear weekly action plan. • Listings & Brand Store: Own product-page optimization and SEO, A+ content, Brand Store and Virtual Bundles. • Creative Direction: Review product pages and creative critically, brief designers on what to fix and why, and QA the output. • Launches & Catalog: Lead new product launches from listing upload to ranking, and run deals and promotions around key events. • Brand Alignment: Connect Amazon to the brand's wider eCommerce strategy - positioning, DTC funnel, pricing and promotional calendar. • Operations & Brand Protection: Oversee inventory planning and FBA shipments with our logistics team; protect account health, the Buy Box, Brand Registry and reviews. • VA Management: Work with our VAs on your accounts - assign, prioritize and QA their execution. Requirements • Experience: 3–5 years of hands-on Amazon experience managing brand accounts and meaningful ad budgets ($1M+ annual ad spend as a reference point), agency-side or brand-side, facing the client directly. • PPC: Hands-on optimization of SP, SB and SD campaigns; solid command of architecture, bidding, harvesting, negation and ACOS / TACOS economics, and the appetite to master it. • Report & KPI Depth: Fluent in Amazon advertising reports (Search Term, Targeting, Placement), Business Reports, Brand Analytics, SQP and Repeat Purchase Behavior, and in the funnel KPIs behind them - CTR, CVR, sessions, Buy Box %, organic vs paid. • Attribution & AMC: Good understanding of Amazon attribution - 7-day SP vs 14-day SB/SD windows, ACOS vs TACOS when PPC drives organic lift - and familiarity with what Amazon Marketing Cloud can answer (path to conversion, ad-type overlap, New-to-Brand). • AI-Driven: AI is a daily working tool for you: you spot a repetitive process - a weekly report, a bulk file, a listing audit - and build an AI workflow for it, so your time goes to strategy and growth; and you know when the machine is wrong. • Creative Mind: You give precise notes on a product page - what's missing from the main image, which gallery slide isn't earning its place, where the A+ loses the shopper - tied to CTR and CVR, and lead designers with a brief, not taste alone. • Marketing Understanding: You think like an online marketer, not only a channel operator: the full funnel - awareness, consideration, purchase, repeat, scale - how each stage is driven and measured on Amazon, and how Amazon fits the brand's wider DTC marketing. • Launch & Catalog Experience: Comfortable in Seller Central; you have launched products, uploaded listings via flat files, optimized pages for SEO and worked on a Brand Store; strong Excel, Helium 10 and Sellerboard or equivalents. • Independent & Growth-Minded: You take decisions and close loops without waiting for direction; you learn fast and want to grow with the role; sales mindset, out-of-the-box thinking, strong team player. Business-level English; the team works in Hebrew. Advantages • Amazon DSP & AMC Hands-on: Running DSP campaigns and writing AMC queries. • Influencers & Affiliates: Amazon Creator Connections, influencer and affiliate programs for Amazon. • Off-Amazon Paid Media: Google Ads, Meta and TikTok advertising and how they drive Amazon traffic. • TikTok Shop: Hands-on management of a TikTok Shop. • Beauty / Wellness Background: You know how these categories sell on Amazon. • Walmart & International: Walmart Marketplace / Walmart Connect, Amazon EU or other regions. • Basic SQL.

Description ZyG is revolutionizing eCommerce with the first Agentic Operating System for eCom scale. This end-to-end platform helps product inventors and entrepreneurs turn their products into successful Direct-to-Consumer businesses, addressing the three key challenges of eCom scale: poor product bets, lack of scale infrastructure, and the need for often-complex financing. With a connected system of AI Agents built on a unified data infrastructure, the OS analyzes scale-market fit, replaces the fragmented tools, agencies, and manual workflows that typically power eCom growth, and offers the financing needed for DTC scale. The Role We are looking for a Senior Backend Engineer to architect the high-performance backbone of ZyG. You will build the Agentic Architecture- the distributed systems, task-orchestration layers, and real-time execution environments that allow AI agents to perceive the market and act autonomously What you'll do • Architect Agentic Service Infrastructure: Design and scale the high-concurrency backend services and distributed systems that power our AI agents' real-time decision-making. • Build the RAG & Execution Engine: Engineer the backend services for vector search, context-aware retrieval, and the "memory" layers required for agentic workflows. • Develop High-Performance Extraction Systems: Build resilient, distributed crawling and scraping services that function as the "sensory" input for our engine. • System Orchestration: Manage the integration of LLMs and predictive models into the core product API, ensuring low-latency execution and high system reliability. • Define Engineering Excellence: Establish backend architectural patterns, coding standards, and service-oriented best practices for the entire engineering team. Requirements • 8+ years of experience: Deep expertise in Backend Engineering with a software-first approach to complex systems. • AI-Native Workflow: You have a significant advantage if you leverage modern, agentic development environments like Claude Code to accelerate system design and iteration. • The Tech Stack: Strong proficiency in building scalable services. While we value architectural skill over specific syntax, experience with Go (Golang) and GCP (BigQuery/Cloud Run/Postgres) is a major "force multiplier" for our stack. • Agentic Systems Knowledge: Familiarity with the infrastructure needed for LLMs, Vector Databases, and RAG-based application logic. • Architectural Ownership: You excel at taking a high-level business need and designing the full-stack service architecture required to solve it.

Description ZyG is revolutionizing eCommerce with the first Agentic Operating System for eCom scale. This end-to-end platform helps product inventors and entrepreneurs turn their products into successful Direct-to-Consumer businesses, addressing the three key challenges of eCom scale: poor product bets, lack of scale infrastructure, and the need for often-complex financing. With a connected system of AI Agents built on a unified data infrastructure, the OS analyzes scale-market fit, replaces the fragmented tools, agencies, and manual workflows that typically power eCom growth, and offers the financing needed for DTC scale. The Role We're looking for a DevOps Engineer to join a fast-moving, AI-native engineering team. This is not a traditional ops role. A large share of our code is written and shipped by AI agents. The platform underneath them has to keep up. You'll be expected to help our dev teams ship, debug, and monitor fast, using AI wherever it fits. This is a ground-floor seat on a startup with serious growth ambitions. If you want to build the platform that lets a team of humans and agents ship at machine speed, this is your role What you'll do • Run CI/CD end to end: GitHub Actions, Bazel builds, and Argo CD deploys. Make them faster, greener, and safe for agents to trigger unattended • Build and maintain the infrastructure as code behind the platform on GCP with Terragrunt and OpenTofu: GKE, VPC networking, IAM, Secret Manager, Cloud SQL • Run the data platform: Cloud Composer (Airflow), dbt, and the BigQuery layer the business reports on. Keep pipelines on schedule, cheap, and trustworthy • Keep production observable: Datadog and Grafana, alerts people trust, error tracking that points at the real fault • Put AI to work on ops: extend the agent-driven alert triage, wire Claude Code into pipelines, automate the toil you'd otherwise do by hand • Work with backend and data engineers to make services and pipelines resilient, observable, and easy to deploy Requirements • Minimum 4 years of hands-on DevOps/SRE experience • Kubernetes in production: you've deployed it, upgraded it, and debugged networking on it • GCP: GKE, Cloud SQL, BigQuery, Secret Manager, IAM, VPC networking • Infrastructure as code with Terragrunt and OpenTofu (Terraform experience counts) • CI/CD depth: good knowledge of GitHub Actions, and GitOps on Kubernetes with Argo CD, Flux, or equivalent • DataOps: Airflow, dbt, and a warehouse like BigQuery. You've operated pipelines in production, not only written them • Monitoring and alerting with Datadog, Grafana, or similar • Comfortable scripting and reading code in Go, Python, or TypeScript • A pulse on what's actually breaking in production right now • Someone who thrives with responsibility, moves fast, and wants to build something big Nice to have • Bazel: you've managed the build of a big monorepo • Crossplane • Istio or another service mesh in production • Temporal or another durable workflow engine • Helm chart authoring and Kubernetes operators • Supply-chain security tooling: Trivy, gitleaks, SBOM

Description ZYG is an AI-native e-commerce operating system. As a Creator Partnerships Manager on our Creator/Influencer growth team, you’ll source and manage creator partnerships across our brands. You’ll own the day-to-day coordination that keeps creator programs scaling smoothly and content flowing consistently. This is a high-execution role and a great entry point for someone who is organized, creator-obsessed, and ready to take ownership of a real function. What you'll do • Source and vet creators across niches and brand verticals through organic discovery, creator platforms, and smart, automated workflows • Manage the full creator journey from first touch to final asset: outreach, briefs, contracts, timelines, content reviews, and revisions • Keep campaign trackers, creator databases, and content libraries organized and up to date • Partner with internal teams (paid media, brand, account management) to make sure content is delivered on time and to spec • Run gifting, affiliate, and paid UGC programs side by side across multiple brands • Spot performance patterns, content quality issues, and creator feedback, and share insights with the broader team • Help build and refine SOPs that make our creator workflows repeatable as the program scales Requirements What We’re Looking For • 2+ years of experience in influencer marketing, creator partnerships, social media, or a related field • Strong project management instincts: you track the details and follow up without being asked • Ability to juggle multiple workstreams across different brands and campaigns • Solid understanding of UGC formats, platform nuances (TikTok, Instagram Reels, YouTube Shorts), and what makes content convert • Clear, warm communication: you’ll be the day-to-day point of contact for our creators and a trusted partner to our internal teams Advantages Nice to Have • Experience with creator or influencer platforms • Familiarity with affiliate programs and tools • Exposure to paid media workflows and how UGC feeds performance creative • Experience coordinating across multiple brands or product categories • Genuine affinity for automation, productivity tools, and workflow optimization, and a curiosity about how AI can make creator programs run smarter

Description ZyG is revolutionizing eCommerce with the first Agentic Operating System for eCom scale. This end-to-end platform helps product inventors and entrepreneurs turn their products into successful Direct-to-Consumer businesses, addressing the three key challenges of eCom scale: poor product bets, lack of scale infrastructure, and the need for often-complex financing. With a connected system of AI Agents built on a unified data infrastructure, the OS analyzes scale-market fit, replaces the fragmented tools, agencies, and manual workflows that typically power eCom growth, and offers the financing needed for DTC scale. The Role We're looking for a Creative Strategist to join a fast-moving performance creative team. This is not a traditional marketing role. You will be the sole creative owner of a brand we are scaling from $10K to 9 figures. Fast. You will own the ideation, scripting, and briefing of paid ads, and you'll be expected to think about ads all day, every day and beyond that, how to grow this brand by any means necessary. This is a ground-floor seat on a startup with serious growth ambitions. If you're the kind of person who wants to point at something and say "I built that" this is your role. What you'll do • Own the entire creative output of the brand end to end • Research, ideate, and write high-converting ad scripts and creator briefs • Analyze ad account data and translate performance into new creative angles • Stay ahead of trends across TikTok, Instagram, and the broader organic feed • Collaborate with editors, creators, and media buyers to bring concepts to life Requirements • Minimum 5 years of experience in a DTC growth company with proven results • Proven experience managing a creative team of editors, creators, and inhouse talent • Strong copywriting instincts and experience in writing direct response creative • Obsession with advertising, messaging, and what makes people stop scrolling • AI fluency, you use Claude, ChatGPT, you probably have your own workflows • A pulse on what's actually working in ad accounts right now • Someone who thrives with ownership, moves fast, and wants to build something big To apply: Send your portfolio + 3 ads you wish you made to

Description Personetics is shaping the Cognitive Banking era, harnessing AI to help banks anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. Our platform continuously analyzes and leverages real-time transactional data, enabling banks to proactively support customers in managing their finances and reaching their goals. As industry leaders — yes, we really are leaders — we partner with the world’s top financial institutions, empowering over 150 million customers monthly across 35 global markets from offices in New York, London, Singapore, São Paulo, and Tel Aviv. About the position We are looking for a highly technical, hands-on Platform Backend Engineer to join our Platform team. This is a key technical leadership role for a senior backend/platform engineer who combines deep platform expertise with strong collaboration and communication skills. You will help shape the foundations of our engineering platform, lead important technical initiatives, and drive improvements in the way we build, deliver, and operate software. The role is ideal for someone who is not only technically strong, but also a true people person — someone who enjoys working closely with others, building trust, creating alignment, mentoring teammates, and leading through influence. You will partner closely with engineers, product, and architects, and play a central role in improving both the platform itself and the engineering environment around it. Responsibilities • Lead the design and evolution of core platform capabilities by translating business, product, and customer needs into robust technical solutions that support multiple products and teams • Harness AI in day-to-day engineering work through practical adoption of AI-assisted development tools and workflows, while helping shape platform capabilities that support product-facing agentic applications • Bring a strong problem-solving mindset to complex platform challenges, proactively identifying gaps and driving improvements across architecture, infrastructure, reliability, observability, security, and SaaS readiness • Drive meaningful improvements in SDLC, engineering standards, and development processes to support high-quality and fast delivery • Act as a technical leader by setting direction, creating alignment, mentoring others, and raising the bar for technical excellence and accountability Requirements • 5+ years of hands-on experience in backend and platform engineering roles • 5+ years of experience designing and building large-scale backend systems using Java • 2+ years of experience working with Python (Advantage) • 3+ years of hands-on experience with Kubernetes and modern cloud-native architectures in production environments • Strong experience designing and architecting scalable, reliable, and maintainable production systems • Solid experience working with relational databases and SQL • Proven experience improving engineering processes, development workflows, and technical standards, with strong understanding of software engineering best practices, clean design, and functional and non-functional requirements • Proven ability to lead technical initiatives, influence without authority, and drive alignment across teams through strong communication and interpersonal skills, with a proactive, supportive, and ownership-driven mindset • Practical experience with AI development tools such as Cursor or similar tools, with curiosity and passion for applying them in day-to-day engineering work Nice to have • Experience with CI/CD, observability, reliability, and production operations • Experience working in environments with a strong focus on security and compliance • Experience supporting or driving SaaS transformation • Familiarity with Azure and AWS

Description Personetics is shaping the Cognitive Banking era, harnessing AI to help banks anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. Our platform continuously analyzes and leverages real-time transactional data, enabling banks to proactively support customers in managing their finances and reaching their goals. As industry leaders - yes, we really are leaders - we partner with the world’s top financial institutions, empowering over 150 million customers monthly across 35 global markets from offices in New York, London, Singapore, São Paulo, and Tel Aviv. About the position We are seeking a visionary who reports to the CEO, to serve as the focal point of our internal AI strategy and lay the groundwork for an AI-enabled future across our organization. In this newly created role, you will act as the primary change agent bridging business strategy, technology infrastructure, and human capital. Your mission is to transition the company into a structured, secure, and value-driven operation - driving targeted AI adoption specifically where it yields the highest impact to boost efficiency, achieve core business goals, and foster long-term growth. Responsibilities • Authoring, shaping, and continuously updating the company's AI Transformation Strategy for internal operations, engineering enablement, knowledge management, and workforce productivity, aligned with business goals and operational excellence. • Process Optimization & Internal Efficiency: Mapping existing workflows across various departments (Marketing, Sales, HR, Delivery, R&D, Product, etc.) to identify bottlenecks. • Deploying recurring autonomous workflows (e.g., automated reporting, monitoring) using AI agents to streamline day-to-day operational work. • Architect and manage a centralized, machine-readable repository of enterprise knowledge- leveraging AI to continuously ingest, structure, and update company data to ensure it is instantly accessible and optimized for AI context engines, RAG (Retrieval-Augmented Generation) pipelines, and employee query systems. • Democratizing Development via AI-Assisted Development: Enabling business units to leverage AI-assisted development methodologies and platforms to build custom operational workflows. • Agents Platform: Building a company-wide layer for creating, managing, and sharing AI agents that integrate directly with internal enterprise systems to support operational execution. • Governance, Security, AI Cost Management (AI FinOps)& Economics: • Measuring adoption, usage, and the true cost of AI tools and workflows across all platforms to understand their impact and optimize organizational investment. • Establishing control mechanisms for "AI cost management" and AI FinOps - making techno-economic decisions (e.g., choosing between heavy models vs. specialized open-source models). • Specialized open-source models) to optimize compute costs. • Creating a balanced AI Acceptable Use Policy with the CISO and Legal that protects organizational data while acting as a secure foundation for rapid innovation. Requirements • Strategic Visionary: Experience in defining and executing a technological or operational strategy, with a proven ability to translate AI trends into a structured corporate roadmap. • Deep Technological Understanding of GenAI & Autonomous Systems: • Always up-to-date with the most recent AI technologies and capabilities, with a strong grasp of software architecture, Data engineering, and modern AI paradigms (LLMs, RAG, API integrations). • Deep understanding of how autonomous agents and AI reshape modern job functions, with the ability to set new standards for workforce assessment and collaboration between humans and machines. • Hybrid Tech & Business Background: • Significant experience in technological leadership, Internal Product Management, Platform Engineering, or digital transformation. • Experience overseeing the lifecycle of internal applications is an advantage, particularly with exposure to AI-assisted development platforms and modern AI generation tools from ideation to deployment. • Entrepreneurial Spirit & Matrix Leadership: • An "Enabler" by nature - someone who builds secure foundations for teams to innovate rapidly. • Exceptional communication skills - the ability to articulate complex concepts to R&D teams, Legal, and C-Level executives. • The ability to step into a "blank canvas" environment, establish methodologies, prove immediate business value, and subsequently build a team and budget around that success. • Proven ability to orchestrate company-wide transformations.

Description Personetics is shaping the Cognitive Banking era, harnessing AI to help banks anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. Our platform continuously analyzes and leverages real-time transactional data, enabling banks to proactively support customers in managing their finances and reaching their goals. As industry leaders — yes, we really are leaders — we partner with the world’s top financial institutions, empowering over 150 million customers monthly across 35 global markets from offices in New York, London, Singapore, São Paulo, and Tel Aviv. About the position We are looking for an experienced Squad Lead to lead a newly formed squad responsible for building Personetics’ business-facing application layer, which directly impacts end users. The role combines hands-on backend development, technical leadership, and strong product thinking. The Squad Lead will drive engineering standards, improve SDLC processes, and promote the adoption of AI-powered development practices within the team. This position requires deep backend expertise ability to lead frontend developers, strong system design capabilities, and the ability to work closely with Product, Design to build scalable, flexible, and user-centric solutions that deliver clear business value. Responsibilities • Lead the design and development of scalable, high-quality backend services powering user-facing features • Own architectural decisions and ensure alignment with product and business needs • Contribute hands-on to development, especially in complex or critical areas • Drive adoption of AI-assisted development practices and modern SDLC methodologies • Improve development velocity, code quality, and testing practices • Mentor and elevate team members, increasing overall squad seniority and engineering standards • Collaborate closely with softwere architects, product managers, and designers to deliver cohesive solutions • Establish and enforce best practices for code reviews, system design, and delivery Requirements • 6+ years of development experience with a backend orientation. • Proven experience in technical leadership or leading engineering initiatives • Hands-on mindset with the ability and willingness to actively code • Strong understanding of system design, scalability, and performance considerations • Experience working on user-facing systems and leading frontend developers • Experience improving engineering processes, SDLC, and development workflows • Familiarity with AI-assisted development tools and practices • Strong communication skills and ability to lead within a cross-functional squad • Education: B.Sc. in Computer Science or equivalent Nice to have • Experience leading teams through organizational transitions (e.g., to squads) • Experience in fintech or data-driven products • Experience working on SaaS products with a focus on scalability, multi-tenancy, and customer-centric architectureproductivity • Hands-on experience integrating AI into development workflows

Description Personetics is shaping the Cognitive Banking era, harnessing AI to help banks anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. Our platform continuously analyzes and leverages real-time transactional data, enabling banks to proactively support customers in managing their finances and reaching their goals. As industry leaders — yes, we really are leaders — we partner with the world’s top financial institutions, empowering over 150 million customers monthly across 35 global markets from offices in New York, London, Singapore, São Paulo, and Tel Aviv. About the position We are seeking an experienced DevOps Engineer to join our Engineering team and play a key role in building and operating our cloud-native platform. The ideal candidate will have hands-on experience managing production environments at scale, driving cloud transformation initiatives, and supporting the of enterprise systems from on-premises deployments to modern SaaS and cloud-native architectures. You will be responsible for designing, automating, and maintaining scalable infrastructure, CI/CD pipelines, and deployment processes that support both our core products and emerging AI-driven capabilities. Working closely with Engineering, QA, Product, and AI teams, you will help ensure the reliability, security, and performance of our services while driving operational excellence and continuous improvement across our technology stack. Responsibilities • Design, implement, and maintain CI/CD pipelines. • Manage and optimize cloud infrastructure across AWS, Azure, and/or GCP. • Develop and maintain Infrastructure as Code using Terraform. • Manage Kubernetes-based environments and GitOps deployment workflows using Argo CD and Kustomize. • Lead and support the migration of enterprise applications and infrastructure from on-premises environments to scalable SaaS and cloud-native architectures. • Establish, maintain, and continuously improve production environments, ensuring high availability, security, scalability, and operational excellence. • Demonstrate strong production ownership, including incident management, root cause analysis, capacity planning, and performance optimization. • Collaborate with Engineering, QA, Product, and AI teams. • Support the deployment, operation, and monitoring of AI and Generative AI services. • Build and maintain monitoring, logging, and alerting systems. • Troubleshoot and resolve infrastructure, deployment, and production issues. Requirements • 5+ years of experience as a DevOps Engineer or similar • infrastructure-focused role. • Hands-on experience with Azure, Aws, or GCP. • Experience with CI/CD tools such as Jenkins, GitHub Actions, or similar platforms. • Strong knowledge of Terraform and Infrastructure as Code practices. • Experience with Docker, Kubernetes, Argo CD, and Kustomize. • Experience designing and operating production-grade Kubernetes saas platforms or enterprise environments. • Experience with monitoring and observability tools such as Prometheus, Grafana, and ELK. • Strong troubleshooting, analytical, and communication skills. • B.Sc. in Computer Science, Computer Engineering, Information Systems, or a related field (or equivalent practical experience). Nice to have • Experience supporting AI • Machine Learning or Generative AI workloads, including familiarity with MLOps concepts. • AI deployment platforms or cloud-based AI services.

Description Join Personetics as an Intermediate Applied Data Scientist, where you'll work with a dynamic team to analyze complex data and deliver innovative solutions for our clients. Utilize your expertise to drive data-driven decision-making and support the development of cutting-edge financial technology. About the position We are hiring an Applied Data Scientist to build the models that turn raw transaction data into the insights our banks’ customers see every day. The stack is deliberately wide: classical ML on tabular data, deep learning, LLM-based systems, and agentic flows. We choose the right approach for each problem, balancing analytical quality, production readiness, and time to market. You drive the analytical work, working closely with Product and Engineering to take ideas from evidence through production. Responsibilities • Analyze and interpret complex datasets to identify trends and patterns. • Collaborate with cross-functional teams to develop data-driven solutions. • Build and maintain predictive models to enhance business decisions. • Communicate findings and insights effectively to stakeholders. • Stay updated with the latest data science technologies and methodologies. • Contribute to the continuous improvement of data processes and systems. Requirements • Bachelor's degree in Data Science, Computer Science, or related field. • 3+ years of experience in applied data science or a similar role. • Proven experience with machine learning algorithms and statistical modeling. • Proficiency in programming languages such as Python or R. • Strong analytical skills and ability to work with large datasets. • Excellent communication and teamwork skills. • Experience with data visualization tools like Tableau or Power BI. Nice to have • FinTech or banking experience. • Transformer models — fine-tuning and production inference. • Experience taking a model into production, including monitoring and post-launch iteration. • Cloud platforms (AWS, Azure).

Description Personetics is shaping the Cognitive Banking era, harnessing AI to help banks anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. Our platform continuously analyzes and leverages real-time transactional data, enabling banks to proactively support customers in managing their finances and reaching their goals. As industry leaders — yes, we really are leaders — we partner with the world’s top financial institutions, empowering over 150 million customers monthly across 35 global markets from offices in New York, London, Singapore, São Paulo, and Tel Aviv. About the position We are looking for a Senior Software Architect to help define and evolve the architecture of our SaaS platform and core products. You will work closely with product, delivery, and engineering squads to design scalable, reliable systems, set technical direction, and guide teams in making high‑quality architectural decisions that balance delivery speed with long‑term sustainability. This is a hands‑on, senior technical leadership role: you will spend most of your time shaping architectures with teams, reviewing designs and critical code, and driving shared standards and patterns across the organization, all in an advance agentic environment. Responsibilities Architecture & technical leadership • Define and evolve the architecture for key domains in our platform (APIs, services, data flows, integration, observability, security). • Translate business and product requirements into clear, pragmatic technical designs and architecture roadmaps. • Create and maintain architecture artefacts: diagrams, decision records (ADRs), reference implementations, and guidelines. • Evaluate design options and technology choices, articulate trade‑offs, and lead the decision‑making process with stakeholders. • Push forward the agentic mindset and implementation. Working with squads (R&D) • Partner with squad leads and senior engineers to design solutions, break down complex problems, and keep implementations aligned with the target architecture. • Participate in design / tech reviews, ensuring non‑functional requirements (performance, resilience, security, operability) are addressed early. • Provide hands‑on support where it matters most: spike and prototype critical flows, review complex pull requests, and help debug tricky production issues. Partnering with Product • Collaborate with Product to shape technical feasibility, sequencing, and scope for roadmap items and cross‑squad initiatives. • Communicate complex technical topics in simple language to non‑technical stakeholders when discussing roadmap options and trade‑offs. Standards, reuse, and platform mindset • Define and promote architecture principles, coding standards, and reusable patterns (modules, libraries, services) that reduce duplication and technical debt. • Champion platform thinking: design services and components that can be safely reused across teams and products. • Drive adoption of shared platform capabilities (observability, CI/CD, authentication, data, DevOps tooling) across squads. Quality, reliability, and continuous improvement • Ensure architectures are observable, operable, and resilient by design; partner with DevOps/SRE on deployment, monitoring, and incident response. • Identify areas of high technical debt or architectural risk and lead structured remediation initiatives. • Help define and track technical KPIs (e.g., performance, reliability, incident volume) tied to architecture decisions. Mentoring and leadership • Act as a technical mentor and sounding board for senior engineers and tech leads, helping them grow their architecture skills. • Foster a culture of thoughtful design, documentation, and constructive technical debate. • Lead by influence rather than authority: you help teams make better decisions instead of making every decision for them. Requirements • 8+ years of experience in software engineering, including several years in a senior / staff / architect role designing complex systems. • Strong experience with modern backend and distributed architectures (microservices or modular monoliths, event‑driven patterns, robust APIs). • Solid understanding of cloud‑native architecture (e.g., AWS/Azure/GCP), containers, and infrastructure‑as‑code practices. • Proven ability to design for scale, performance, security, and reliability in production SaaS environments. • Hands‑on experience with at least one major language and ecosystem used in our stack (e.g., Java, Python, Node.js, or similar). • Proven agentic experience – as hand-on experience and as architecting GenAI systems • Comfortable reading and reviewing code, guiding implementation, and occasionally building prototypes or reference implementations. • Experience working with product teams in an agile / kanban environment; able to balance long‑term architecture with near‑term delivery. • Strong communication skills: can explain complex technical concepts clearly to engineers and non‑engineers. Nice to have • Experience with financial services, B2B SaaS, or integrations with large enterprise customers (e.g., banks). • Background in data platforms, analytics, or ML‑adjacent systems. • Familiarity with domain‑driven design, event sourcing, or CQRS patterns.

Description Personetics is shaping the Cognitive Banking era, harnessing AI to help banks anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. Our platform continuously analyzes and leverages real-time transactional data, enabling banks to proactively support customers in managing their finances and reaching their goals. As industry leaders — yes, we really are leaders — we partner with the world’s top financial institutions, empowering over 150 million customers monthly across 35 global markets from offices in New York, London, Singapore, São Paulo, and Tel Aviv. About the position Personetics is looking for a Business Application Manager to own our SaaS and business application portfolio end to end, and to lead how AI is actually implemented inside it. This is the bridge role between IT and the business. The person in this role makes sure every system we pay for is used correctly, by the right people, at the right depth, and drives the practical rollout of AI and agentic AI across our internal systems and processes. It is a hands-on role that combines three disciplines: system administration, business application ownership, and AI implementation and governance, Reports to the Head of IT. Because we serve banking and fintech clients, this role operates inside a regulated environment. Access control, data handling and audit evidence are part of the day job, not an afterthought. Responsibilities • Monitor business system health, resolve integrations, API, sync, and availability issues, and escalate to vendors when needed. • Ensure that we fully utilize existing systems by activating unused features, optimizing configurations, and automating manual processes. Permission model (role-based access, JML, SSO/SCIM, access reviews) • Self-service request and approval workflows • SaaS inventory, overlap mapping, consolidation and decommissioning • Evaluate and approve new tools across technical fit, security/compliance, and commercial value. Manage vendors, renewals, and licenses. • Partner with departments to translate business needs into system configurations, automations, and integrations. • AI implementation and agentic AI governance Requirements • 5+ years in business applications, SaaS operations, including hands-on ownership of at least three business platforms end to end - configuration, integrations and permissions, not first-line support. • Hands-on administration of a work management platform such as Monday.com, Jira or Asana: building boards, automations, integrations and permission structures. • Strong Microsoft 365 administration with real depth in SharePoint Online - site architecture, permissions, document management and lifecycle. • Proven experience designing and enforcing access and permission models, including SSO and SCIM or directory-based provisioning. • Practical experience implementing AI tools and AI-driven automation in a business environment, with a track record of streamlining real processes and showing the time or quality gain. • Experience working directly with business departments and translating their needs into system solutions. • Project management skills: able to run a multi-stakeholder implementation or migration from scoping through rollout and adoption, managing timelines, dependencies, vendor coordination and stakeholder communication. Formal certification is not required. • Excellent written and verbal communication in English and Hebrew. Nice to have • Experience with SaaS management platforms such as Torii or Zluri. • Hands-on experience with enterprise LLM platforms and agentic AI - Claude Enterprise, MCPs, connectors or agent frameworks. • Experience leading a system consolidation or migration project.