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we are looking for a passionate and detail-oriented Product Owner & Engineer to join our team. In this role, you will collaborate closely with development teams to define new features, contribute to functional requirement documentation (FRD), and ensure seamless UX design and implementation.
A core part of this role is maintaining close alignment with customers. You will actively engage with customers, gather feedback, understand real-world use cases, and translate their needs into clear product requirements. You will work closely with Support and QA to ensure our testing strategy and supportability reflect actual customer environments and workflows.
Beyond core development, you will assist in critical escalations, manage complex or high-visibility installations, and develop tools that enhance the overall user experience. You will leverage telemetry data, production insights, and direct customer feedback to continuously refine and improve our products, ensuring they deliver measurable value in real-world deployments.
Key Responsibilities
Collaborate closely with Product and Engineering teams to define, refine, and prioritize features that directly address real customer needs and business impact.
Translate customer requirements and field insights into clear, structured Functional Requirement Documents (FRDs), while actively contributing to UX discussions to ensure intuitive and seamless user experiences.
Work closely with QA and Support to align testing strategies and troubleshooting workflows with real-world customer environments, ensuring reliability, operability, and supportability at scale.
Serve as a technical and product focal point during critical customer escalations and high-visibility deployments, ensuring timely resolution and long-term improvements
Develop tools and scripts to enhance user experience and operational efficiency.
Leverage telemetry, usage analytics, and direct customer feedback to drive data-informed decisions and continuously improve product performance and adoption.
Proactively identify risks, gaps, and cross-team dependencies, removing roadblocks to ensure successful delivery and measurable customer outcomes.

LLM optimization is a young field with no settled playbook, so the optimizations you invent here are genuinely new, and they ship into production rather than a paper. And they matter: real enterprises run enormous volumes of LLM traffic and feel every wasted token, so the work you do lands on live customer requests and solves a problem they actually have. It's about as close to the frontier, and as close to the product, as engineering gets.

03What you'll do
Invent and ship optimizations. Design new strategies across every layer of a request: prompt and context compression, tool pruning, file and dev-command trimming, semantic caching, cache-prefix stabilization. Then take them all the way to the hot path. Each one has to cut tokens on real traffic without degrading output.
Prove every win. Build the evals and the token/quality instrumentation that separate a genuine saving from a plausible-sounding one. An optimization only ships when the numbers back it.
Live in the caching trade-offs. Provider prompt caches only pay off on byte-stable prefixes, and a naive rewrite can cost more than it saves. A lot of the job is knowing exactly when an optimization actually wins: deterministic transforms, per-session decision pins, semantic dedup.
Build and own the gateway that runs them. The real-time proxy that carries production LLM traffic, with streaming, retries and backpressure, executing every optimization on the live request path.
Keep it fast and deploy anywhere. Defend a tight latency budget on the hot path, and package the whole thing so it installs cleanly into any customer's cloud, whether that's AWS, GCP, Azure, containers or Kubernetes, and upgrades without drama.
Own systems end to end. From first commit to code serving live customer traffic, plus the spend-visibility and governance product built on top, with a direct line to the founders.

Connect is a Node CLI and a signed tray app for macOS, Windows and Linux. It points a developer's AI coding tools at our gateway by writing each vendor's own config, signs them in, keeps their credentials fresh, and repairs itself when something drifts. For IT, it ships the artifacts they need to roll it out across a fleet.

It's real, it's shipping, and customers are using it. You'd own it.

03What you'll do
Own Connect. The CLI, the tray app, updates, docs, and what ships next.
Write into other apps' config without breaking them. Back up what you touch, roll back cleanly, and never leave someone's setup worse than you found it.
Keep up with vendors. Config shapes change under us. Check before writing, and fall back to a manual path instead of guessing.
Stay clear of antivirus. Persistence and credential helpers are exactly what EDR watches for. Measure what actually trips a scanner instead of assuming.
Ship for managed fleets. Profiles, policy, credential helpers, and silent rollout. That's what an admin needs to push this to a few hundred laptops at once.
Make it debuggable from far away. Health checks, repair commands, and diagnostics that carry metadata only. Never prompts, never keys.

Every LLM call carries tokens that don't need to be there, and the provider bills for all of them. Anyray sits between a company's users and the models and takes that waste out as the request goes through. The result is usually up to 60% off the inference bill with no change in output, and every saved token accounted for. It runs inside the customer's own cloud, so nothing leaves their network, works with whatever provider and model they already use, and goes in within minutes.

02What you'll do
Build your own pipeline. That means targeted outbound to engineering and platform leaders, starting in the Israeli ecosystem and moving into the US.
Run deals start to finish: demo the product, handle the technical conversation yourself, and carry evaluations through to a signature.
Own the GTM engine: the outbound, the deal process, the playbooks, the collateral.

What You Will Be Doing
Own the co-build agenda with AWS & GCP
Drive our active co-build initiatives with AWS/GCP product and engineering teams from scoping through launch.
Own the technical relationship with AWS/GCP product managers and engineers on the EKS/GKE, Karpenter, and container services teams. Be the person they call, and the person who can answer without scheduling a follow-up.
Track the EKS/GKE and AI/ML roadmap closely enough to tell us what it means. Dynamic Resource Allocation, MIG and time-slicing landing in Karpenter and Auto Mode/Auto Pilot, managed control plane work, and pod isolation all move the ground under our product. You will be the first person to see it coming.
Continuously validate that we run on where AWS/GCP are going, not just where it is. As AWS/GCP abstracts the node further, our agent, our scheduler, and especially our GPU device plugin need to keep working. Confirming that, early, is a standing part of the job.
Bring AWS/GCP requirements and constraints back into R&D as real engineering input, and represent our architecture back to AWS/GCP accurately enough that they design around it.
Look for opportunities to be a design partner and later a launch partner.
Technical depth on us and EKS/GKE
Be the person who can explain how we work on EKS/GKE to any technical audience, without an SE in the room: real-time pod right-sizing, HPA and replica management, intelligent pod placement, Karpenter and node optimization, Spot, and GPU fractionalization and right-sizing for inference workloads.
Hold your own with AWS/GKE Solutions Architects and customer platform engineers on scheduling, autoscaling, resource management, and where our approach differs from static MIG and time-slicing.

What You'll Be Doing:
Collaborate with the sales team to develop and execute strategies for opening new accounts.
Identify companies that fit our Ideal Client Profile.
Create personalized messaging to generate interest.
Schedule discovery calls for Account Executives.
Outbound prospecting through email, phone calls, and social media to schedule meetings.
Becoming an expert on how we help customers.
Meticulously track and improve your outbound activity.
Hitting daily KPIs for dials, meetings completed, and pipeline generated.
Collaborate with team members to share and learn from best practices.

A corporate controller is a senior financial executive who oversees a company's financial operations, reporting, and compliance.

Responsibility for ensuring the accuracy and integrity of financial data, managing financial risks, and supporting the company's strategic goals.

The Corporate Controller will report directly to the CFO and will lead the global accounting function.

The successful candidate will be able to adapt to a high-growth organization to drive operational execution.

We are a privately held, global high-growth company.

Responsibilities
Heres what youll be working on:

Manage and support accounting team with dynamic leadership that creates an environment of accuracy and productivity. Provide leadership and guidance to the team, including coaching and development.
Develop and implement consistent accounting policies, practices, and procedures to ensure compliance with internal controls and external regulations and standards .
Responsible of Consolidated & Solo financial statements.
Maximize payroll efficiency through innovative process development.
Monthly/Quarterly Close: Ensure the timely and accurate preparation of account reconciliations, analysis, and presentation of the monthly consolidated financial close.
Audit: Manage the day-to-day audit process including the preparation of support, Financial Statements, and interactions with the external audit firm.
Financial Management: Work closely with FP&A to manage the financial results of the business. Provide oversight and support for the management of department-level operating expenses.
Manage our global tax reporting and compliance.

We are a leading Israeli industrial company with a strong global presence, seeking a highly motivated and detail-oriented Bookkeeper to be part of our finance team.

If youre looking to grow professionally in a dynamic, international environment - this is the opportunity for you.

Industry: Industrial / Manufacturing

Responsibilities
Handle day-to-day bookkeeping tasks: accounts payable, bank reconciliations, and journal entries
Manage supplier relationships, both locally and internationally
Process purchase invoices and handle all related import documentation
Coordinate and execute supplier payments (domestic and international)
Oversee card index management and maintain organized transaction records
Manage company credit card transactions and petty cash handling
Conduct regular banking activities and reconciliations
Collaborate closely with internal departments to ensure accurate and efficient financial operations

We are looking for a highly experienced Director of Product Growth to own the customer journey from the first click to purchase.

You will own everything that happens after the click - landing pages, product discovery, product pages, personalization, pricing, promotions, upsells, cart and checkout - with a clear focus on improving conversion, AOV, revenue and profitability.

This is a senior, hands-on leadership role combining commercial thinking, product and UX intuition, analytics, AI and fast execution. You will lead a small team of 1-2 people and work closely with Marketing, Creative, Merchandising, Design, Data and Technology.

Responsibilities
What You'll Own

The full click-to-purchase funnel and overall site performance.
Core growth metrics including CVR, Add-to-Cart, AOV, Items per Order and Revenue per Session.
The experimentation roadmap - identifying, prioritizing and executing high-impact A/B tests.
Pricing, promotions, bundles, upsells and cross-sells, balancing growth with profitability.
On-site merchandising, product discovery and personalization.
Lead and develop a small Product Growth team, while remaining deeply hands-on.


What You'll Do

Analyze funnels and customer behavior to identify friction and growth opportunities.
Turn data and customer insights into new flows, experiences and experiments.
Continuously test landing pages, PDPs, navigation, messaging, pricing, promotions and checkout.
Define which products and offers to promote, to whom and when.
Improve UX/UI, product discovery and the overall shopping experience.
Work hands-on with designers, developers and data teams to move ideas quickly from hypothesis to production.
Use AI extensively to accelerate analysis, research, ideation, experimentation and execution.