דרושים » תוכנה » Director of Engineering - Security

We are seeking an experienced Software Manager to lead the Cumulus Linux Software Verification Team. In this role, you will play a critical part in advancing Cumulus Linux, a leading networking operating system and a cornerstone of the AI Factory the next-generation data center designed to power the training, fine-tuning, and deployment of AI models at scale. You will work closely with Cumulus Linux design and architecture teams while gaining deep insights into our products and technologies.

What Youll Be Doing:

Manage, mentor, and guide a team of software developers.

Oversee the design, implementation, and maintenance of scalable automation frameworks, while remaining hands-on with software development and debugging.

Drive timely, high-quality feature delivery.

Collaborate with global, cross-functional teams to identify, track, and resolve issues.

Analyze customer-reported issues, identify test gaps, and ensure robust regression coverage.

Work with continuous integration systems and regression tools.

Foster a culture of innovation, quality, ownership, and accountability.

Support team members with career development plans and achievable growth goals.

We are seeking a visionary and hands-on QA Lead to establish and lead our new, centralized Engineering Quality function.

Your mission is to act as the centralized muscle that researches, defines, implements, and promotes engineering excellence across the company. You will own the quality strategy and enable its adoption through tooling, guidance, and hands-on support, transforming high standards into a company-wide reality.

This is a high-impact role for a leader who is passionate about building robust systems and fostering a culture of excellence.

What Youll Do: Scope & Responsibilities:

As the Engineering Quality Lead, you will be empowered to not only define our quality standards but also to enforce them and implement the solutions needed to achieve them.

Strategy & Vision: Own the company-wide engineering quality strategy. Define, measure, and report on key quality benchmarks and success metrics (KPIs) such as test coverage, Continuous Integration (CI) health, and performance signals.
Tooling & Standards: Research, evaluate, and standardize the tools and best practices for the entire software development lifecycle (SDLC). This includes static code analysis, linters, test coverage, logging, telemetry, instrumentation, and performance tracking.
Drive Adoption & Enablement: Lead the charge in driving the adoption of new standards. You will achieve this through a combination of clear guidance, enablement sessions, and hands-on development alongside product line engineers.
Cultural Leadership & The Quality Guild: Establish and lead the Quality Guild, a cross-company community of engineers passionate about quality. You will identify and mentor these Ambassadors to act as local champions, scale your influence, and create a bottom-up movement of engineering excellence.
Data-Driven Improvement: Continuously report on quality signals to leadership and recommend strategic investments based on measurable gaps and improvement trends.

As a Platform Team Lead , you will lead a critical cross-functional team focused on building and evolving the core infrastructure that powers our Big Data, Marketing Tech, CRM, and Data Science initiatives.

You will drive technical strategy, mentor engineers, and work closely with R&D, Product, and Data Science teams to deliver high-performance, scalable, and innovative platform solutions.




What You'll Be Doing

Lead and grow a high-performing platform engineering team.
Design, develop, and maintain scalable backend systems, ensuring stability, performance, and operational excellence.
Build core services and infrastructure that enable Marketing, Data Science, CRM, and Engineering teams to move faster and smarter.
Drive platform initiatives around Big Data processing, event-driven architectures, and distributed systems.
Partner with stakeholders across the company to understand evolving business needs and translate them into technical solutions.
Champion innovation by evaluating and integrating new technologies, frameworks, and practices that elevate our product and internal capabilities.
Maintain a high bar for code quality, security, and scalability.
Provide hands-on technical leadership guiding design, code reviews, and system architecture discussions.
Foster a culture of learning, collaboration, and continuous improvement.

As a key member of the Customer Program Management Team for our Enterprise business units, we are looking for a Senior Customer Program Management professional who will be responsible for customers' activities, leading both internal and external technical & operational program execution with our major cloud service providers and enterprise customers. Come join the team and see how you can make a lasting impact on the world!

What you will be doing:

Execute the program plan you craft by identifying, and assembling the core team, formally kicking off the project with customers, developing a joint project timeline, supporting the design-in effort by providing technical collateral, leading engineering design reviews, ensuring the implementation of any customer-required features, driving resolution of all blocking issues, and ensuring timely customer acceptance and production deployment.

Coordinate and lead sophisticated technical engineering-to-engineering discussions related to system architecture, firmware, device driver, system management, deep learning algorithms, and/or AI workloads.

Align multifaceted global cross-functional team of software & hardware engineering, manufacturing operations, product quality, supplier procurement and/or account executives to lead product changes to product productions on-track.

Regularly report the program status to customer and executive management.

Identify interpersonal learning opportunities for continuous improvements.

Develop a close working relationship with customer development teams and use creativity to find solutions to their issues.

We are seeking a Data Product Manager to join Teads Data Department within the Data Product Team. In this role, you will be at the core of our mission to transform data into a strategic asset, ensuring that Teads business teams can make smarter, faster, and more impactful decisions.
As a Data Product Manager, you will be responsible for defining and delivering the vision, strategy, and roadmap of data products that serve internal stakeholders across Sales, Operations, Finance, and Marketing. You will focus on Looker as the central BI platform, ensuring reliable, scalable, and user-friendly data products that democratize insights and maximize business value.
This role requires a strong mix of product management expertise, BI platform experience (Looker is mandatory), and cross-functional collaboration skills. You will partner closely with data engineers, BI developers, and business teams to translate requirements into actionable data solutions, while upholding governance, quality, and scalability.
If you are passionate about creating data products that directly impact the efficiency and success of global teams in a fast-paced, data-driven environment, this opportunity is for you.
What will you do?
As a Data Product Manager, you will shape, deliver, and scale data-driven products that empower Teads business functions to operate more efficiently and make smarter decisions. You will partner with engineers, analysts, and stakeholders across departments to translate business needs into data products that drive measurable impact.
Your responsibilities will include:
Roadmap & Strategy
Define and prioritize the data product roadmap in alignment with Teads global objectives.
Identify key data opportunities, define success metrics, and ensure products are aligned with business impact.
Ensure data governance, quality, and scalability in all delivered solutions.
Product Design & Delivery
Translate business requirements into clear, actionable data product specifications.
Collaborate with engineers and analysts to design reliable, scalable, and user-friendly Looker explores, dashboards, and data models.
Ensure stakeholders are kept informed on milestones, changes, and impacts.
Product Roll-out & Continuous Improvements
Contribute to a culture of data democratization, enabling teams to self-serve insights.
Oversee the roll-out of new Looker products, ensuring adoption and training across internal teams.
Monitor product usage and performance, gather feedback, and iterate to drive continuous improvement.

About the Engineering Team
Were a team of smart, curious engineers building scalable, reliable systems that power content creation for millions. We work with modern web technologies, tackle real-world challenges in distributed systems, and keep things practicalno overengineering, just solid solutions. If you love solving tough problems, moving fast, and building tech that creators actually use, youll fit right in.
On your day to day
Were looking for someone whos genuinely passionate about technology and building scalable systems and applications. In this role, youll be hands-on, getting your hands dirty in the code, leading by example, and driving technical excellence across the board. Youll play a key part in shaping and scaling the engineering team, coaching team leads, and unlocking bottlenecks to increase dev velocity. Success in this role means going beyond the title, challenging ideas, diving into the details, and influencing both the product and the people who build it. Youll be a force multiplier across engineering, constantly pushing for better processes, stronger execution, and a culture of ownership.

As a key member of the Customer Program Management Team for our Enterprise business units, we are looking for a Senior Customer Program Management professional who will be responsible for customers' activities, leading both internal and external technical & operational program execution with our major cloud service providers and enterprise customers. Come join the team and see how you can make a lasting impact on the world!

What you will be doing:

Execute the program plan you craft by identifying, and assembling the core team, formally kicking off the project with customers, developing a joint project timeline, supporting the design-in effort by providing technical collateral, leading engineering design reviews, ensuring the implementation of any customer-required features, driving resolution of all blocking issues, and ensuring timely customer acceptance and production deployment.

Coordinate and lead sophisticated technical engineering-to-engineering discussions related to system architecture, firmware, device driver, system management, deep learning algorithms, and/or AI workloads.

Align multifaceted global cross-functional team of software & hardware engineering, manufacturing operations, product quality, supplier procurement and/or account executives to lead product changes to product productions on-track.

Regularly report the program status to customer and executive management.

Identify interpersonal learning opportunities for continuous improvements.

Develop a close working relationship with customer development teams and use creativity to find solutions to their issues.

we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.
We're looking for talented, versatile and highly independent Machine Learning Engineers to join our winning team. You will be in charge of end-to-end development and you'll have a massive impact on the product and the technical decisions made.
The ML Engineers are part of our infrastructure group, working closely with the exceptional research team, taking trained models and scaling them out to production.
Responsibilities
Take ownership of the entire machine learning engineering lifecycle - from building scalable training and evaluation pipelines to deploying models in production, with robust monitoring and maintenance systems.
Help in creating scalable solutions by enabling us to continuously increase the accuracy of our algorithms across thousands of clinics.
Designing a secured large-scale system that is suitable for sensitive patient data.
Continue to enhancing our deep learning infrastructure to supports our AI models at scale, including CI/CD, automation, testing and monitoring.
Collaborate with the research, medical and product teams in implementing ML solutions to the digital health space.