Senior Product Manager

Ramat Gan · Senior
About The Position

About SCAILIUM

SCAILIUM is the AI Production Layer - the GPU-native software infrastructure that eliminates CPU bottlenecks, removes starvation, and guarantees GPU utilization for enterprise AI workloads. We operate at the intersection of deep systems engineering, power-constrained data centers, and large-scale GPU deployments.

Our Mission is simple and absolute: The GPU never starves.

The Role

We are hiring a foundational Product Manager to work directly with the CTO to define, develop, and externally evangelize SCAILIUM’s physics-aligned product.

This is a hybrid role: deep technical product ownership and outward-facing category evangelism.

You will translate engineering truth into customer value, OEM alignment, GSI blueprints, and market education. You must be as comfortable sitting with GPU-kernel engineers as you are presenting to Dell, NVIDIA, or a Fortune 100 platform architect.

This is not a classic B2B SaaS PM role.

This is deep tech + category creation + high-stakes outbound.

What You Will Own

1. Product Ownership (Internal)

Work directly with the R&D to shape the GPU-native roadmap for ingestion, vectorization, transformation, curation, and continuous production flow.
Define precise specifications, APIs, pipeline behavior, and physics-aligned constraints.
Ensure product features adhere to SCAILIUM’s rigid boundaries:
No orchestration. No system of record. No serving. No dashboards.
Enforce documentation rigor. Documentation is code.

2. Technical Outbound Leadership (External)

This is where the role becomes unique and high-impact:

Serve as a public-facing authority on GPU starvation, impedance incompatibility, and the AI Production Layer.
Lead technical sessions with Partners, OEMs (Dell, Supermicro, HPE), GSIs (Accenture, Deloitte), and strategic enterprise customers.
Conduct in-depth customer pipeline analyses to identify physical constraints and translate them into SCAILIUM features or patterns.
Present SCAILIUM’s architecture in a clear, authoritative, physics-grounded manner.
Support sales, partnerships, and field engineering by communicating the “why” behind every product decision.
Build artifacts that shape the category: reference architectures, workload blueprints, TCO models, and silicon saturation narratives.

3. Category Creation & Market Education

Protect and propagate the language of the category: Silicon Starvation, Impedance Incompatibility, Production Layer, Throughput-per-Watt.
Help enterprises understand that AI is manufacturing, not software.
Drive clarity across customers, partners, and internal GTM teams.
Ensure zero category confusion - every messaging and positioning artifact must reinforce SCAILIUM’s role as the missing layer.

What Success Looks Like

Within 6 months, you will have:

Delivered crisp, physics-aligned product specs directly with the CTO.
Launched or refined V1/V2 production flows for OEM and enterprise deployments.
Led multiple customer-facing deep dives that directly influenced roadmap priorities.
Established yourself as one of the strongest external voices representing SCAILIUM’s architecture.
Created reference architectures and technical narratives used by OEMs and GSIs.
Demonstrated measurable impact on customer outcomes: increased GPU utilization, reduced power waste, faster pipeline throughput.

Why Join SCAILIUM

This is a unique opportunity to:

Report directly to the CTO and influence the company’s most critical architectural decisions.
Help define a new infrastructure category for the next decade of AI.
Collaborate with world-class systems engineers to build technology that aligns with physics, rather than relying on legacy assumptions.
Lead technical conversations with the world’s largest OEMs, GSIs, and enterprise AI teams.
Shape the AI factory era - where data moves at silicon speed and power constraints become solvable.

Requirements

What You Bring

Must Have

5+ years of experience as a Product Manager or Solutions Architect in infrastructure, HPC, data systems, GPU/AI pipelines, or distributed systems.
Strong outbound / customer-facing skills: presenting to CTOs, architects, OEM teams, GSIs, and technical buyers.
Ability to operate at kernel-level conceptual depth and translate physics into product strategy.
Exceptional communication skills - written and verbal - with the ability to simplify complex GPU and dataflow concepts.
Demonstrated ability to drive roadmap execution with engineering while also leading external discovery and evangelism.
Comfort owning both internal product discipline and external technical influence.

Bonus

Hands-on familiarity with GPU-native ecosystems (CUDA, Triton, cuDF, GPUDirect Storage).
Experience with enterprise pipeline technologies (Spark, Databricks, Kafka, warehouses/lakehouses).
Prior work with OEMs, GSIs, or large-scale on-prem / cloud AI deployments.
Experience defining a new category or launching V1 products.

Who You Are

Technically credible at a level where engineers and CTOs trust your reasoning.
A natural evangelist who can explain complex systems simply and convincingly.
Obsessed with clarity - you never hide behind jargon or ambiguity.
Physics-driven - you operate from first principles, not trends.
Production-minded - you think in pipelines, reliability, and throughput.
Comfortable in high-ambiguity environments and capable of turning uncertainty into structure.

You thrive in deep-tech environments where velocity and rigor must coexist.

Ready to Build the Next Layer of Enterprise AI?

Apply with your CV + add a short note sharing one complex technical concept you’ve explained to a non-expert - and how you made it clear.