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We build software products for clients across embedded, IoT, SaaS, AI/ML, e-commerce, mobile, and web. Were looking for a Senior Software Development Manager to lead the multidisciplinary engineering teams on a major engagement end to end - owning delivery, raising the technical bar, and being the person who steps in when things get hard. Youll manage tech leads and engineers across the stack, partner with product and client stakeholders (including large enterprise and banking environments), and keep a complex program on track. This is a role for a hands-on leader with a strong technical background who can move fluidly between technical, product, and project-level problems and resolve them professionally.
What youll do:
Own end-to-end delivery of a multidisciplinary program - plan, staff, and drive execution against scope, timeline, and quality.
Lead and grow the engineering organization: manage tech leads and engineers across frontend, backend, and QA; hire, mentor, and set standards.
Dive into technical, product, and project-level problems as needed and drive them to professional resolution - youre the escalation point, not a bystander.
Own the software development methodology and delivery cadence, including estimation, sprint planning, risk management, and reporting.
Partner directly with client stakeholders and executives to align on goals, manage expectations, and report progress with clarity and confidence.
Collaborate with architects and product on scope, HLD, and roadmap; translate business goals into a realistic delivery plan.
Track and report delivery health - velocity, quality, risk, and budget - and keep senior stakeholders informed.

We are looking for an experienced R&D Director to lead and grow one of our engineering groups.
In this role, you'll drive technical strategy, lead engineering managers and teams, and play a key role in shaping our products, architecture and engineering culture.
Responsibilities:
Lead and mentor Team Leads and engineering managers.
Define the technical vision and influence key architectural decisions.
Own delivery, quality, execution and timelines across multiple projects.
Drive engineering processes and operational excellence.
Develop and mentor employees, supporting their professional growth.
Act as the highest technical escalation point within the group.
Work closely with executive leadership and report directly to the CEO.

Required AI IT Centre of Excellence Deploy Lead
Description
Join the company and help scale AI capabilities across the organization. As the AI IT Centre of Excellence (COE) Deploy Lead, you will own the methodologies, standards, and deployment practices that make AI implementation repeatable and reliable across Strauss.
You will act as the professional focal point for AI delivery - working alongside AI experts, data teams, software developers, architects, and business stakeholders to ensure consistent, high-quality delivery of AI initiatives while building organizational knowledge and capability.
Employment model: Israel-based, offshore/outsourcing engagement (not a buy-out).
Key Responsibilities:
Lead the deployment methodology, standards, and best practices of the AI IT Centre of Excellence (COE).
Guide and support development teams in the design, implementation, and adoption of AI solutions.
Serve as the professional focal point for AI delivery frameworks, tools, architectures, and implementation approaches across the organization.
Facilitate collaboration between AI experts, data teams, software development teams, architects, and technology stakeholders.
Provide training, coaching, and ongoing enablement for teams delivering AI initiatives.
Build and maintain AI playbooks, implementation guidelines, reference architectures, templates, and knowledge assets.
Drive consistency, quality, governance, and scalability across AI implementations.
Support project execution, manage dependencies, identify risks, and help teams overcome implementation challenges.
Lead AI knowledge-sharing activities, communities of practice, and professional development programs.

We are building the autonomous infrastructure management platform that will power the next decade of enterprise compute.

What You Will Be Doing
Lead and grow a high-performing engineering organization responsible for our core product offering.
Define and execute the engineering strategy for our Kubernetes resource management platform, enabling DevOps teams worldwide to operate more efficiently.
Partner closely with Product, Design, and Go-to-Market leaders to translate business strategy into engineering execution.
Drive technical excellence, architectural direction, and engineering best practices across multiple teams.
Build, mentor, and develop engineering managers and senior engineers, fostering a culture of ownership, innovation, and continuous improvement.
Scale engineering processes, organizational structure, and delivery capabilities while maintaining a high bar for quality and execution.
Balance hands-on technical leadership with organizational leadership, making key architectural and strategic decisions when needed.
Create an environment where talented engineers can do their best work with a high degree of autonomy, accountability, and collaboration.

We're looking for a Head of Research to establish and lead research group - a strategic and hands-on leadership role for someone who thrives at the intersection of AI, infrastructure, and systems innovation. You'll identify high-impact research directions, validate cutting-edge technologies, and drive new approaches that translate into long-term competitive advantage . This is not an academic position, but an opportunity to build a research function that directly shapes product and technology.

Define and lead the company's research agenda in AI, infrastructure, and distributed systems
Explore and evaluate new algorithms, architectures, and approaches relevant to large-scale AI workloads and cloud cost efficiency
Collaborate with product and engineering to translate research into real-world impact
Build and manage a small, high-caliber research team
Publish findings, represent in the AI/infrastructure research community, and establish partnerships with academia and industry
Act as a thought leader driving innovation across the company

Were expanding a fast-growing practice that helps engineering teams leverage AI in their SW development lifecycle and transform into AI-native teams. Weve served dozens of satisfied customers in Israel and abroad and are now hiring a hands-on engineer to lead and drive R&D AI transformation programs, AI tooling adoption & tracking, create resources and run training at scale.
Key Responsibilities:
Own the AI R&D transformation and Agentic SDLC agenda across multiple clients: assessments, KPIs, rollout plans, training, champions programs, skills/agent developments, etc.
Lead AI Coding Tooling optimization end-to-end, plus evaluate/compare adjacent tools (e.g. Claude Code, Cursor, GitHub Copilot, Kiro, etc).
Create training materials (slides, exercises, demos) and deliver workshops; Train teams yourself and mentor trainer bench.
Develop AI infra & tooling, dashboards, frameworks, playbooks and AI resources (skills, agents, hooks, MCPs, etc) for clients to enable transformation, automation and governance
Partner with Sales/Delivery on pre-sales to attract new customers.
Stay on the cutting edge of releases and best practices, turn learnings into repeatable packages.