דרושים » תוכנה » Operations Manager, Middle East

Req ID: 20153

As a Machine Learning Engineering Manager, you will lead a team focused on the foundational ML & Data layers to power the ranking & recommendation systems in scope. You will drive the development of robust data & ML pipelines at scale, lead the implementation of the tools for ML scientists to test and productionize advanced ML RecSys solutions.

As a technical manager of Machine Learning Engineers and Data engineers, you should be passionate about technology, keep up to date with recent breakthroughs in the field, define and shape the teams ML and platforms roadmap, and not be afraid to get your hands dirty with code when needed.

You are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products. You will work independently and will also be responsible for making technical decisions within your team.

Key Job Responsibilities and Duties:

Lead and develop a high-performing team, fostering individual growth and collaboration.

Manage and mentor ML engineers and Data engineers, ensuring their professional development and effectiveness.

Develop scalable ML infrastructure and pipelines for efficient data processing and evaluations deployment.

Evaluate architecture solutions based on cost, business needs, and emerging technologies.

Collaborate closely with software engineers to ensure seamless deployment and model inference.

Monitor application health, set and track relevant metrics, and implement effective maintenance strategies.

Collaborate with stakeholders to translate business requirements into viable ML solutions.

Evaluate and integrate new ML technologies to enhance productivity and performance.

Drive continuous improvement through model retraining, performance monitoring, and optimization.

Develop robust ML and AI solutions that meet business objectives while considering production constraints.

Prisma-Photonics is a rapidly growing startup company, developing the next-generation smart-infrastructure solution based on novel fiber-sensing technology (smart roads, smart cities, perimeters, and grid monitoring, etc.). The company offers an award-winning disruptive solution; a “sensor free” approach to smart infrastructure. The company is VC backed and in the revenues stage. Combining pioneering technology in optical fiber sensing with state-of-the-art machine learning, we help prevent environmental disasters, protect human lives, and keep critical energy and transportation backbones running smoothly. We are seeking our Data Operations Team Leader! This person will oversee a team of data operations specialists responsible for labeling data for machine learning and AI projects. This role involves managing day-to-day operations, ensuring annotation quality and accuracy, developing guidelines, and collaborating with cross-functional teams to meet project deadlines and objectives.

Hiring Manager:
Guy Engel

What You’ll Do:

* Manage the end-to-end data workflow, from incoming data through annotation delivery to the ML teams, including overseeing data upload processes and ensuring data availability.
* Manage database operations and ensure the integrity and availability of annotation data.
* Become a Subject Matter Expert in our data and actively participate in hands-on annotation projects.
* Create and maintain onboarding materials, annotation guidelines, and operational documentation to support knowledge sharing and consistent annotation practices.
* Lead a team of Data Operations Specialists by managing task assignments, scheduling, and day-to-day execution. Provide the tools and processes needed for efficient work, ensure high annotation quality in collaboration with the ML teams, and continuously improve workflow efficiency
* Own the annotation platform, driving bug fixes, feature development, and workflow improvements using Python and GenAI tools.
* Develop and maintain operational dashboards and real-time performance metrics to monitor team efficiency, quality, and output.
* Collaborate closely with data scientists, machine learning engineers, and product managers to understand annotation requirements and project goals. Coordinate cross-functional communication, monitor operational KPIs, and oversee daily operations to keep projects on track and ensure adherence to shifting schedules.

What You Bring:

* STEM graduate or equivalent Technical background
* Experience leading a team of Data Operations Specialists or similar teams.
* Proven ability to manage multiple projects simultaneously and effectively prioritize competing responsibilities.
* Excellent communication and collaboration skills, with a demonstrated ability to build strong cross-functional relationships and foster team success.
* Experience developing internal tools and micro-services with Python, and leveraging GenAI tools to accelerate development and operational workflows.


Great to Have:

* Experience leading juniors and/or part-time students.
* Experience with seismic data and/or spectrograms.
* Experience designing, developing, or improving annotation tools and annotation workflows.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Staff Escalation Manager- Prompt Security, you will be tasked with leading and coordinating complex customer escalations, focusing on resolving complex issues and ensuring our customers receive timely, high-quality technical support as we scale our Generative AI security platform. We are seeking a highly collaborative, approachable, and customer-focused individual who will serve as the primary liaison between Technical Support, Product Management, Engineering, and Customer-facing teams, ensuring that high-impact issues are triaged quickly, prioritized correctly, and driven to resolution with clear and consistent communication.
What will you do?
The bulk of your time will be spent deflecting Jira tickets by providing solutions, KBs, and 1-on-1 training directly to the Support team. You will validate priority, review, and manage Jira tickets before engaging Development.
You will also perform trend analysis to identify top product defects and collaborate with the Documentation, Learning and Development (L&D), and Product Management teams to create and update knowledge. Code review may also be applicable, and suggestions for code improvements shared with engineering and Product Management.
For customer escalations, you will help engage the relevant stakeholders in internal and customer-facing conversations, and may lead those conversations from a technical perspective.
Key Responsibilities:
Develop key contacts and relationships with assigned product PM/Dev leadership.
Drive product supportability with PM/Development.
Share support knowledge through available channels (KB, training, videos etc.).
Trend analysis: Identify and track top impacting issues or product defects.
Manage communication and response to Backline Support (Jira).
Act as SME and be the focal point for assigned products.
Research the code to expedite the investigation.
Resolve Defects when possible.
Quality Assessment for Support Jira tickets.
Prioritize Jiras based on customer and support qualifications.
Work to eliminate duplication.
Deflect Jira tickets (Provide solution whenever possible).
Validate severity.
Maintain clarity and quality.
Prioritize and maintain escalations to Dev.
Create/maintain hot escalation board and review with relevant stakeholders.
Create/Maintain support Defects Kanban.
Communication - oversee response/information requests from Dev.

We are looking for a Senior Release Manager with 5+ years of experience to own the orchestration of our software delivery lifecycle in the cloud native domain.
In this role, you will move beyond traditional coordination to build automated, high-integrity deployment highways.
You will leverage GitOps principles to ensure our cloud-native applications are delivered with speed, safety, and auditability across multiple environments.
As a Release Manager, you will drive the end-to-end release lifecycle, ensuring alignment among teams and stakeholders. You will track and monitor release tasks across Development, QA, DevOps, and Documentation, acting as the central contact for milestone tracking and updates using tools like Slack, JIRA, and GitHub. Identifying and escalating delays, risks, or blockers for timely resolution is crucial to your role.
You will manage dependencies, resolving or escalating gaps to ensure smooth integration of incremental feature development into the main branch. Monitoring feature milestones and readiness for QA, you will communicate intermediate deliverables and coordinate the verification of deliverables merged into GitHub, with JIRA tickets linked to PRs. Ensuring successful CI/CD pipeline completion and system tests, you will escalate issues as needed and facilitate the timely creation and release of builds to QA, ensuring testing readiness.
By overseeing feature verification progress using JIRA dashboards, you will facilitate bug screening with QA, Development, Product, and Architecture teams. Executing security scans and managing vulnerabilities for compliance and release readiness are essential tasks. You will maintain and enforce compliance with predefined release criteria, compiling and reviewing release communications with stakeholders to ensure everyone is informed and aligned.
In this role, your ability to manage multiple moving parts and communicate effectively across teams will be key to ensuring successful and timely releases.
Your role orchestrates cross-functional activities to ensure smooth progression through all release milestones, from kickoff to General Availability (GA).
Your position is reporting to the Director of Operations, and working in close collaboration with Product Managers, R&D Team Leads and developers (QA, DevOps, Dev. Teams).

We are seeking an Engineering Manager with a solid background in Software Development and people leadership. As a leader within the Engineering team, you will manage a team of Full Stack Engineers in a fast-paced environment while collaborating with QA, Product, UX, Senior Management, and Customer Support teams. You will be responsible for guiding your team through designing and developing both enhancements to existing product features and entirely new ones, ensuring delivery excellence and continuous team growth.

Responsibilities
Lead, mentor, and grow a team of full stack developers, fostering a culture of collaboration, accountability, and continuous improvement.
Champion Agile practices across the team, ensuring sustainable development through good estimation, effective branching strategies, automated testing, and continuous deployment.
Partner with Product, UX, and other stakeholders to translate business needs into technical roadmaps and priorities.
Oversee the analysis of needs and requirements for existing and proposed systems, ensuring alignment with business objectives.
Guide the development of technical specifications and review architectural decisions made by the team.
Ensure the team delivers high-quality software on schedule through effective planning, code reviews, and quality standards.
Articulate the interdependencies and impact of design choices to both technical and non-technical stakeholders.
Drive the adoption and enhancement of engineering processes, tools, and best practices across the team.
Remove blockers, manage risks, and escalate issues proactively to keep delivery on track.
Coordinate with operations and support teams to resolve production issues and improve system reliability.
Conduct regular one-on-ones, performance reviews, and career development conversations with direct reports.
Participate in hiring, onboarding, and workforce planning to build and retain a high-performing team.

We are looking for an experienced Engineering Director to lead a Core Product engineering group in our Tel Aviv office. In this role, you will manage a group of Engineering Managers who each lead their own teams of engineers. You will be responsible for driving delivery, quality, and impact across one of HoneyBooks most critical product areas.

You will report to the Head of Engineering and partner closely with Product, Design, Data, and Go-to-Market leaders to shape strategy and ensure strong execution. This role requires a seasoned leader with deep people-management experience, strong product partnership, and the ability to lead through scale and complexity. The group also plays a key role in embedding AI capabilities into our core product experiences, making this an exciting opportunity to help shape how AI enhances workflows for millions of independent business owners.

A few of the things you will do:

Lead, coach, and support a group of 5 Engineering Managers overseeing multiple teams and dozens of engineers.

Develop and grow managers by helping them strengthen their leadership, decision-making, and team health.

Drive clarity, alignment, and focus across teams working on shared product goals and cross-team initiatives.

Partner closely with Product and Design leadership to shape roadmap, priorities, and execution plans.

Help define and deliver core product and Growth experiences, including initiatives that embed AI into key user workflows.

Translate company and product strategy into clear engineering direction and measurable outcomes.

Help teams plan effectively, make thoughtful tradeoffs, and deliver high-quality products in a predictable way.

Improve how teams collaborate across domains by refining planning, processes, and communication.

Lead cross-team initiatives and manage dependencies across multiple stakeholders.

Play a key role in hiring, org design, and scaling the engineering organization in Tel Aviv.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Engineering Manager - Linux Cloud Workload Security, you will be tasked with taking end-to-end ownership of product capabilities and strategic initiatives from ideation to production within the Linux & Cloud Workload Security ecosystem.
We require a leader with a proven track record of success in building and developing high-performing managers and teams, managing operational risks, and driving architectural excellence while fostering a world-class engineering culture.
What Will You Do?
Primary responsibilities include:
You will have the chance to lead a group of 10+ engineers and team leads on the Linux & Cloud Workload Security, solving the most complicated real-world problems.
You will continuously enrich your knowledge and experience with Linux OS architecture, kernel internals, and the Cloud Workload security landscape.
You will be a core part of designing and developing the capabilities that will improve the product's stability and make the user experience smoother.
You will be directly accountable for production stability and operational integrity while mentoring a global managerial bench.
Your mandate is to ensure reliable, high-quality delivery against strategic goals, making decisive trade-offs that balance innovation, security, and long-term organizational health.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Engineering Manager - Windows Endpoint, you will be tasked with taking end-to-end ownership of product capabilities and strategic initiatives from ideation to production within the Windows Endpoint Ecosystem.
We require a leader with a proven track record of success in building and developing high-performing managers and teams, managing operational risks, and driving architectural excellence while fostering a world-class engineering culture.
What Will You Do?
Primary responsibilities include:
You will have the chance to lead a group of 10+ engineers and team leads on the Windows Endpoint, solving the most complicated real-world problems.
You will continuously enrich your knowledge and experience with Windows OS internals and the EPP/EDR ecosystem.
You will be a core part of designing and developing the capabilities that will improve the product's stability and make the user experience smoother.
You will be directly accountable for production stability and operational integrity while mentoring a global managerial bench.
Your mandate is to ensure reliable, high-quality delivery against strategic goals, making decisive trade-offs that balance innovation, security, and long-term organizational health.

This role requires working out of the Tel Aviv office three days per week.

About the Role:
As a SRE Technical Lead at our company, you will play a critical role in ensuring the reliability, scalability, and performance of the platform that powers our customers operations. Youll operate at the intersection of software engineering and production operations, taking full ownership of the systems you build and run.
This is a hands-on individual contributor role - not a managerial position. You'll be deep in the technical work, driving impact through engineering excellence rather than people management.
This role is not just about responding to incidents - its about fundamentally improving how our platform behaves under real-world conditions. You will drive reliability initiatives end-to-end: defining measurable service goals, shaping engineering priorities through error budgets, and implementing solutions that prevent issues before they occur.
Youll work closely with teams across the organization, embedding reliability and observability into every layer of the stack. At the same time, youll leverage automation, modern infrastructure practices, and emerging AI capabilities to continuously evolve how we operate and scale.

What you will do:
Develop deep product knowledge across our platform - understanding its internals, failure modes, and operational behavior well enough to own incident resolution end-to-end.
Define and track SLAs/SLOs/SLIs across critical platform services, and use error budgets to drive engineering decisions.
Own production reliability - including on-call rotations, incident response, and post-mortems - with a focus on minimizing MTTR and preventing recurrence through systemic fixes, not just firefighting.
Work hand-in-hand with engineering teams across the stack - infrastructure, application, and business layers - to embed reliability requirements everywhere.

Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all our engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI, covering agent sessions, memory management, tool orchestration, durable execution, and multi-tenant isolation. You will lead a high-impact team of 5 engineers to create the runtime and platform that defines the future of autonomous enterprise intelligence.
Youll Own:
Agentic Framework Architecture: Designing and building our internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Team Leadership & Mentorship: Leading a squad of 3-4 senior engineers, fostering a culture of technical excellence, and managing end-to-end delivery in a fast-paced environment. You will spend approximately 50% of your time hands-on, architecting core systems and reviewing code, and 50% leading the team, mentoring engineers, and aligning with cross-functional stakeholders.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our broader backend ecosystem.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.
Youll Impact:
Company-Wide AI Enablement: Empowering every engineering team to build agent-based solutions faster, with higher quality and confidence.
Foundational AI Infrastructure: Establishing the core frameworks, evaluations, and observability standards that all AI agents will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.