דרושים » תוכנה » Mobile Team Lead

We're hiring a Mobile Team Lead to own the AppHarbr SDK, GeoEdge's mobile division that gives publishers real-time control over ad quality across iOS and Android. About AppHarbr AppHarbr is GeoEdge's mobile division, a lightweight SDK that integrates directly into apps and games, giving publishers real-time control over ad quality. It proactively blocks disruptive, intrusive, and malicious ads before they ever reach users. Trusted by industry leaders, AppHarbr runs at scale across some of the world's most widely used mobile apps, sitting at the intersection of mobile performance and ad security. The role We are looking for an experienced Mobile Team Lead to take full ownership of the AppHarbr SDK across iOS and Android. This is a hands-on technical leadership role, you will spend the majority of your time making architectural decisions, setting technical direction, and driving cross-functional execution across a team that includes offshore contributors, while writing and reviewing code. This is a team that moves with the tools available to it, AI-assisted development is part of how we work, not a future aspiration. The SDK runs inside production apps across millions of devices, operating in real time alongside a continuously evolving ecosystem of third-party mediation layers and ad networks. Reliability, backward compatibility, and runtime performance are baseline expectations, not aspirational goals. Responsibilities Technical
* Architect and develop high-performance, multi-threaded SDK code across iOS and Android
* Drive platform technical decisions, performance optimizations, and deep research into OS internals and third-party SDK behavior
* Own SDK stability across the full compatibility matrix, OS versions, devices, and mediation integrations
* Lead complex debugging efforts, reverse-engineer third-party integrations, and resolve integration issues for internal and external stakeholders
* Define and enforce best practices in testing, code quality, and CI/CD workflows
* Handle billions of impressions across millions of devices every day, maintaining a robust and scalable system at significant traffic scale
* Leverage AI-assisted development tools to accelerate code generation, debugging, and SDK analysis, and set the standard for how the team adopts them effectively Leadership
* Lead, mentor, and grow a cross-platform mobile team including offshore contributors
* Own the AppHarbr domain end-to-end, translate product and business goals into technical execution
* Act as the primary technical point of contact across Product, Backend, QA, Customer Success, and external partners
* Conduct code reviews and provide ongoing technical guidance to raise the bar across the team Requirements
* Proven hands-on experience shipping production code on both Android and iOS
* 5+ years of professional mobile development, with 2+ years in a formal Team Lead or engineering management role, with proven people management experience
* Deep understanding of OS internals, memory management, and multi-threaded architectures on both platforms
* Strong ownership mindset, able to operate independently and drive initiatives from inception to production
* Excellent debugging skills, with a modern toolset that includes AI where it adds real value Strong advantages
* Experience building or leading teams building mobile SDKs
* Experience managing remote or offshore engineering teams
* Background in adtech, mobile monetization, or ad quality
* Familiarity with Unity integrations and ad mediation frameworks
* Broad product and business perspective, able to coordinate across multiple stakeholders inside and outside the organization Working at GeoEdge GeoEdge is the global leader in ad security and quality, trusted by hundreds of the world's top publishers, ad platforms, and app developers. We are a focused team that cares about craft and impact. You will work on a pr

We're looking for a Platform Team Leader to own the foundational systems that power our R&D organization. The Platform team is a horizontal, internal-facing team - its customers are the engineers, data scientists, and analysts on our application teams, and its mission is to make them faster, safer, and more productive.

You will lead a team responsible for our production-critical data ingestion (scraping system, data normalization platform), our developer experience surface (Python mono repo, packages and services framework, CI/CD, shared images), our Airflow base layer, and our backoffice. These systems sit on the critical path for production - every other team depends on them, and uptime, incident response, and reliability are core to the role.

This role is for a hands-on technical leader who enjoys both shipping code and growing engineers. You'll spend roughly 50% of your time hands-on writing code, reviewing designs, and the rest leading the team, partnering with peer team leads, and shaping the technical direction of our platform with the VP R&D and CTO.

Responsibilities
Lead and grow a team of strong backend engineers, owning hiring, mentorship, performance, and personal growth.
Own the team's roadmap end-to-end: scoping, prioritization, delivery, and quality.
Drive the architecture and evolution of the platform layers your team owns - both the data plumbing that feeds us and the developer-experience surface other R&D teams build on.
Contribute hands-on (~50%) to design, code, code reviews, and production debugging.
Set and uphold engineering standards across the team - code quality, system design, testing, observability, and operational excellence.
Partner closely with peer team leads and the VP R&D to align on shared infrastructure, ownership boundaries, and developer experience.
Lead by example on production incidents and customer-impacting issues.
Influence broader R&D direction as a member of the R&D leadership forum.

Required AI Platform Engineering Team Lead - Sovereign AI Engineering
We're building AI that nations own and control, deployed where almost no one else can operate. ingesting and structuring complex data, and driving practical actions that can literally impact the lives of billions of people around the world. This role helps make that real.
The Dream Job:
It starts with you - a technical leader driven to build both the agentic AI platform and the engineering team behind it. You care about backend quality, platform reliability, and growing engineers through real ownership. We are AI-first across the board - every team builds and operates agents. You'll set the technical direction for the platform that makes this possible: agent orchestration frameworks, LLM gateways, evaluation infrastructure, tool-calling systems, and retrieval pipelines. Without this platform, agents don't ship - you own the layer that turns AI research into Sovereign AI products, deployed across cloud and on-prem environments. You stay close enough to the codebase to debug production incidents, unblock your engineers, and make sound architecture calls.
If you want to make a meaningful impact, join our mission and lead the team that builds the agentic AI platform driving Sovereign AI products - this role is for you.
Responsibilities
Architect and evolve the AI platform - agent orchestration, LLM gateways, context engineering pipelines, evaluation infrastructure, tool-calling systems, and retrieval pipelines - through RFCs, prototypes, and design reviews.
Lead and grow a small team of AI Engineers building the agent framework, production backend services, and AI platform infrastructure - hire, mentor, pair on hard problems, and raise the bar through hands-on code and design reviews.
Contribute to critical systems, debug production incidents, and maintain enough codebase context to make sound technical calls.
Own reliability across AI and agent services - set and enforce SLAs, build observability for non-deterministic systems, and harden tool execution environments for cost and security.
Set the standard for AI engineering practices - agent testing strategies, evaluation frameworks with human-in-the-loop oversight, retrieval quality benchmarks, and CI/CD for AI systems.
Work closely with ML Platform, Data Platform, DevOps, Data Science, and Product teams across the Applied AI Engineering group - ensure the AI platform evolves to serve teams building agentic workflows across the organization.
Measure and improve developer experience - deploy friction, onboarding time, CI turnaround - as seriously as system performance.

We're looking for an Engineering Group Manager to lead this group. Reporting to the VP of R&D, you'll own the engineering execution, architecture, and technical direction of the products that define what Optibus is. You'll lead a group of full-stack team leads and engineers building large-scale, complex SaaS products on a cloud-native platform, working closely with our Algorithms group.

This is not a 2024 group manager role. We are not hiring someone whose day is meetings, status reports, and approvals. We are hiring a hands-on technical leader who codes, designs systems, drives architecture, leverages AI as a force multiplier, and is measured by impact rather than headcount.

What You'll Own

R&D leadership partnership. You're a key member of the R&D leadership team, actively shaping departmental strategy and driving high-level decisions across the organization - not just running your own group.
The core of the product. Engineering ownership of Planning, Scheduling, and Rostering - the products at the center of the platform, used by transit agencies and operators worldwide.
Architecture and technical direction. You set the technical bar. You participate in design, review architecture, write PRDs, and dive into code reviews when it matters. The hardest problems land on your desk.
A group of team leads and engineers. You'll mentor team leads, grow engineers, and build a small, sharp, high-leverage organization rather than a large one.
Delivery, quality, and velocity. You drive the engineering processes that ship a high-quality product on production-grade SaaS - fast, with low defect rates, and with continuous improvement.
AI-native engineering. You leverage AI agents and automation to multiply the output of your group - both in how the team builds software and in what we build into the product.
Cross-functional partnership. Tight collaboration with Product, Design, Algorithms, and Customer-facing teams to translate complex transit-domain needs into shipping software.

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.

Required Mobile Team Lead
Tel Aviv
As a Mobile Team Lead, youll lead the development of product areas within our mobile apps that helps transit agencies deliver reliable and efficient service to their communities. Youll guide a team of engineers in building something entirely new while working closely with other teams to ensure the product integrates seamlessly into our ecosystem. This role offers the unique opportunity to create from the ground up while leveraging the strengths of an established platform to maximize impact.
About the Role:
Lead the development of key mobile initiatives, such as improving rider/driver app performance, reliability, and user experience across iOS and Android
Own and execute a roadmap focused on scalability (e.g. handling peak demand, optimizing app responsiveness, and reducing latency across core user flows)
Drive cross-functional projects with Product, Design, and Backend teams to launch new features end-to-end, from concept through production
Improve engineering quality and velocity by introducing better development practices, strengthening code review standards, and evolving mobile architecture
Build and grow a high-performing team by hiring, mentoring, and supporting engineers across different levels
Identify and lead improvements to team processes (e.g. release cycles, CI/CD, testing frameworks) to increase efficiency and reduce friction
Contribute to broader mobile initiatives, such as aligning on shared tooling, frameworks, and long-term platform strategy.

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.

Required ML Platform Engineering Team Lead - Sovereign AI Engineering
We're building AI that nations own and control, deployed where almost no one else can operate. ingesting and structuring complex data, and driving practical actions that can literally impact the lives of billions of people around the world. This role helps make that real.
The Dream Job
It starts with you - a technical leader driven to build both the ML platform and the engineering team behind it. You care about reliable infrastructure, great developer experience, and growing engineers through real ownership. You'll set the technical direction for our ML platform - training pipelines, model serving, feature stores, experiment tracking, and compute orchestration - shaping how models reach production across cloud and on-prem, including air-gapped deployments. A significant part of the platform supports large language models, with unique challenges across training, evaluation, and inference in mission-critical environments. You stay close enough to the codebase to debug production issues, unblock your engineers, and make sound architecture calls.
If you want to make a meaningful impact, join our mission and lead the team that builds the ML platform driving Sovereign AI products - this role is for you.
Responsibilities
Set technical direction for the ML platform - training pipelines, model serving, feature stores, experiment tracking, and compute orchestration - through RFCs, prototypes, design reviews, and build-vs-buy decisions
Lead and grow a team of ML Engineers - hire, mentor, pair on hard problems, and raise the bar through code and design reviews
Contribute to critical systems, debug production issues, and maintain deep context on the codebase to inform technical decisions
Own operational excellence for model serving - set and enforce SLAs, run capacity planning, and keep compute costs predictable
Establish ML engineering standards - reproducible experiments, automated evals, model packaging, CI/CD for models, and observability
Support the full lifecycle of our models - from training on domain-specific data to low-latency inference powering production systems
Work closely with Data Platform, AI, Data Science, and Product teams - translate business priorities into engineering work and manage cross-team dependencies
Measure and improve developer experience - deploy friction, onboarding time, CI turnaround - as seriously as model performance.

Tech is at the center of everything we do at Fiverr and we're looking for people who are builders at their core. From developers to visionaries and everything in between, we want minds who aren't just interested in putting the pieces together but who can find new ways to innovate. Solid communication, creative problem solving and business understanding are all prerequisites. So, if you're tech savvy, inquisitive, and ready to take the road less traveled, the Fiverr Technology team might be right for you. We're looking for a brilliant Development Team Leader to step in and lead a critical backend engineering team, ensuring our product roadmap stays on track and our systems remain stable. This is a high-impact opportunity to provide leadership, drive successful project delivery, and foster the growth of talent within our dynamic environment.

What am I going to do?:

* Drive the team's project roadmap, owning the schedule and ensuring on-time delivery while proactively managing dependencies.
* Act as the primary point person for production health, overseeing reliable deployments and leading swift incident response.
* Provide hands-on technical mentorship and guidance to engineers, championing best practices in security and architectural design.
* Cultivate strong partnerships with team leaders from the group to facilitate seamless cross-functional integration and align on shared objectives.
* Optimize day-to-day operational rituals, including stand-ups, sprint planning, and task allocation, to maintain team velocity and efficiency.

Equal opportunities:
At Fiverr, we're not about checklists. If you don't meet 100% of the requirements for this role but still feel passionate about the position and think you have the right skills and qualifications to excel at it, we want to hear from you. At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.

A leading and innovative company in the field of cyber threat intelligence is looking for an experienced Engineering Group Leader to join the executive team and lead the technological development efforts. The role includes managing and building full-stack engineering teams, overseeing architecture and product development, recruiting engineers, defining development processes and technology standards, and driving a tech strategy that supports the companys growth and business goals.
What Youll Be Doing
Lead and manage multiple engineering teams, including team leads and senior engineers.
Mentor, coach, and develop engineers and engineering leaders, fostering a strong growth-oriented culture.
Take end-to-end ownership of delivery, quality, and reliability for your groups products and services.
Translate high-level engineering and product strategy into clear execution plans and milestones.
Collaborate closely with Product Management to plan roadmaps, prioritize work, and align on scope and delivery.
Participate in architectural discussions and contribute to technical and design decisions.
Implement, maintain, and continuously improve development processes (Agile/Scrum).
Play an active role in hiring, onboarding, and retaining top engineering talent.
Work closely with other engineering managers and senior leadership to ensure alignment across teams and domains.