דרושים » ניהול ביניים » Senior Engineering Manager, Infrastructure Platform

we are looking for a Infrastructure Tech Lead.
What You'll Do:
Ship features across the stack, back end and front end, in your first months to learn the product, the codebase and the teams
Lead architectural and infrastructure initiatives end to end, from design to production: modernizing our mature PHP monolith, into microservices architecture, converting background processing to (TypeScript/Python) serverless on AWS, improving observability, and scaling our analytics on ClickHouse
Make key technical decisions and set best practices: system design, data models, code quality and testing, and when to bring in new technologies
Shape our agentic SDLC: how we plan, build, review and test with AI coding agents, and the guardrails around it
Write and review critical code across the stack, front end included, and mentor engineers through design and code reviews
Share ownership of production, including the on-call rotation
Work closely with Product, team leads and engineers across R&D to turn business needs into sound technical plans

As an MLOps Team Leader, you will own our AI infrastructure and backend engineering efforts, leading a team at the intersection of systems design and machine learning to build the engineering systems that turn Deep Learning and Computer Vision research into reliable, scalable production features.

What Youll Be Doing:
Lead MLOps Engineering: Own the roadmap and execution for a team of backend and AI infrastructure/MLOps engineers, setting technical direction, removing blockers, and holding the bar on delivery quality.
Build Production AI Systems: Design and implement production-grade, end-to-end AI solutions, including agentic workflows, that integrate Deep Learning models and Computer Vision algorithms into real features. Own the offline experimentation and validation layer, including POC environments that let the Algo team move from research to production confidently.
Architect Data Platforms: Drive the design and implementation of scalable data platforms and pipelines that power our AI capabilities reliably and with an eye on cost and scale.
Cross-functional Collaboration: Work closely with the Algorithms and Data teams to tackle complex, real-world problems, translating research into shippable, maintainable systems.
Elevate Engineering Standards: Champion Software Engineering and System Design best practices across the group, introducing the right methodologies, tooling, and culture of craft.

We're hiring a Solutions Engineer Manager to lead the engineers who build the two-way integrations connecting agents to our customers' enterprise systems - and to turn that work from a series of custom projects into a repeatable engine.
Where you own and where you partner. Technical Project Managers own the project plan and the customer-facing schedule. You own the execution: the estimates your team commits to, the quality of what ships, and the health of what runs in production. When a date is at risk, the TPM manages the customer conversation; you own the engineering path back to green.
How the team grows. You'll lead and hire a team of 4-8 Solutions Engineers. Within your first year we expect the charter to broaden into DevOps and product-adjacent engineering, and we expect you to define that team and hire it. If you want to build an org rather than inherit one, this is the job.
This is a Tel Aviv-based role, with travel to our US office and to global customers.

our company secures AI apps, agents and models from build to production. Enterprises are shipping AI faster than they can secure it, attack techniques evolve constantly, and every company draws the line on acceptable behavior in a different place. No enterprise can keep up with that on its own, and our company is how they do it. At the heart of the platform sit two engines: the attack engine finds the failures before attackers do, and the defense engine blocks them in production without breaking legitimate traffic.
We are hiring a Senior PM who will lead the strategy, vision, and execution of our core engines. This PM sits inside the DS workflow - and can read the notebooks, argue about the eval set, query the data themselves - and translate between model reality and customer reality in both directions.
This is not a PM role that writes a PRD and waits. It is a PM role where I pulled the data, heres what moved the F1, and heres what it means for customers is the expected level of answer.
What you'll own
Attack engine roadmap. Coverage and depth of adversarial techniques, novel-attack generation quality, agentic/multi-turn testing, zero-day and model-risk research productization. You decide which harm categories, modalities, and attack families we invest in next, and you defend that call with evidence.
Defense engine roadmap. Classifier quality across policies and languages, the precision/recall/latency triangle, customer-specific tuning, and the path from "a red team finding" to "a guardrail that blocks it." Closing that attack→defense loop is the single highest-leverage thing this role can do.
Evaluation as a product surface. Own how we define, measure, and publish model quality - benchmark datasets, eval harnesses, golden sets, regression gates, and the metrics customers actually see. When a customer asks "how accurate is this," the answer and the evidence behind it are yours.
Data strategy for the engines. What data we collect, label, retain, and feed back into training; how customer feedback (overrides, false-positive reports, session feedback) becomes a training signal; and how all of it stays within our customer data commitments
The DS↔Engineering seam. Model artifacts, schemas, and pipelines. You keep that contract explicit and get research into production.
Day to day
Run discovery with AI Product Owners, security engineers, and CISOs on what attacks they fear and what false positives they can't tolerate
Turn fuzzy customer harm into a testable engine requirement with a measurable bar
Prioritize the DS backlog with the DS lead; make the hard calls on coverage vs. depth vs. latency
Own the quality narrative for sales, solution engineering, and security reviews - backed by numbers you can defend
Partner with design and platform PMs so engine capability becomes a usable product, not a config flag
Track competitive and academic movement in adversarial ML and guardrails, and translate it into roadmap pressure.

We are looking for a Product Engineer to own and ship the products that put this capability in the hands of engineers, data scientists, and researchers.

What you'll do
Own product features end-to-end: scope, build, ship, measure, and iterate - across CLI, IDE integrations, web surfaces, and the AI pipeline behind them.

Talk directly to users - engineers, data scientists, ML practitioners - and let their feedback shape what you build next.

Define what AI-powered code optimization and verification feels like as a developer experience: the interaction model, the feedback loops, the trust signals. There is no established playbook; you will create the conventions.

Craft interfaces that feel fast, focused, and effortless for technical users who have zero patience for friction.

Collaborate with researchers to translate model breakthroughs into polished, reliable tooling that developers can depend on in production.

Build evaluation infrastructure and product metrics that measure whether the tools are actually getting better.

Work directly with the founding team on product strategy and roadmap.

about the company:
the company is an engineering-first platform company aiming to improve therapeutic decision-making throughout the drug discovery and development process. we are mapping the immune system at unprecedented scale and granularity and applying Machine Learning to this massive clinico-immune database, in order to generate novel insights into disease pathology for our partners - pharma companies and research institutes. we provide a comprehensive, end-to-end solution - from data generation and curation to therapeutics development, that continuously supports and validates the capabilities of our platform.
as drug development is becoming increasingly inefficient, our ultimate goal is to help bring breakthrough medicines to patients as quickly and successfully as possible.
the company is an equal opportunity employer. we celebrate diversity and are committed to creating an inclusive environment for all employees.
about the role:
as the ai product director for the core components of the company's ai modeling framework, you will be responsible for defining and driving its Product Strategy, requirements, and roadmap, as well as lead a team of product managers. by leveraging the company's ai capabilities and vast data assets, you will spearhead the development of a product designed to empower internal users and external customers to address real-world challenges in drug discovery and development. partnering tightly with r&d, you will ensure alignment between Product Strategy, scientific priorities and business objectives. you will advocate for your product both internally and externally, and ultimately be accountable for the value and impact your product delivers.
location: ramat gan, israel (hybrid model)
what will you do?
establish the long term vision and strategy to advance our ai-powered analytical platform to enable the company's mid and long-term goals
responsible for defining the comprehensive roadmap and related prds for the analytical platform, focusing on optimizing analytical workflows, tackling predictive challenges, and enhancing model interpretability, as well as partner with business, r&d and ops to realize the roadmap
evangelize the product, creating understanding and alignment across key stakeholders
drive value creation for analytical platform users by enabling them to leverage our data assets effectively, both internally and in external collaborations
ensure that our analytical platform development is effectively enabling and accelerating our product, business, and therapeutic goals.

We're looking for an experienced hands-on Software Engineering Team Lead to lead a highly skilled team of backend and frontend engineers through implementation, delivery, iteration, and build scalable systems that serve our customers.

Responsibilities:
Foster a positive, collaborative culture and grow the teams capabilities.
Lead and mentor engineers to ensure on-time delivery, quality development, productivity, and efficiency by conducting and lead design reviews & code reviews.
Work together with product managers to translate requirements into scalable technical solutions.
Balance refactoring and evolution with steady delivery of new features.
Drive a culture of technical excellence, ownership, and continuous improvement.
Oversee system reliability, monitoring, performance optimization and incident response.

we are looking for a Product Manager.
As the Product Manager , youll own the product end-to-end: vision, roadmap, prioritization and delivery. Youll work closely with our R&D group and with the Platform product team, and youll be the voice of AppSec practitioners inside . Youve stood where our customers stand, so you know what actually matters to them day-to-day, and youll turn that into a product they rely on.
What Youll Do:
Own the product strategy and roadmap, and prioritize based on real practitioner needs
Work hand-in-hand with engineering to define, scope, and ship features
Partner with the Platform PM to keep the experience consistent across the platform
Spend real time with customers: discovery calls, feedback loops and design partnerships
Translate complex security workflows into clear requirements and simple user experiences
Work with Sales, Customer Success and Marketing on launches, positioning and field enablement