דרושים » AI » r&d team leader - package security

We are looking for a highly skilled and experienced Software Engineering Team Lead to join our R&D department. This team of engineers is responsible for developing Oligos platform for Application Security Posture. As a Team Lead, you will be responsible for leading the team and driving the development of innovative, scalable, and high-quality features in our product.

You will:

Lead a team of software engineers, providing guidance, mentorship, and support to drive high performance.
Oversee the entire product lifecycle including design, architecture, and implementation of technical solutions, ensuring high-quality, secure, and scalable code.
Tackle complex technical challenges, identifying root causes, and delivering timely, effective solutions for customers requests and problems.
Collaborate closely with cross-functional teams.
Engage in hands-on development of features.

we are a global leader in advanced human-guided autonomous drone systems, and we are looking for an Embedded team lead to join our r&d organization and lead the development of the firmware and low-level software that power our Real-Time autonomous and mission-critical systems used by defense and security forces worldwide.
in this role, you will combine hands-on technical leadership with people management, guiding a team of Embedded engineers while actively contributing to the design, implementation, and bring-up of firmware for our airborne platforms and payloads. you will own the Embedded layer end-to-end - from microcontroller firmware and low-level drivers, through hardware/software integration, to production support and field-deployed systems.
this is a unique opportunity to lead development at the point where software meets hardware, in systems that operate in the most demanding real-world environments.
responsibilities:
lead and mentor a team of Embedded software engineers, fostering ownership, accountability, and technical excellence
take full ownership of Embedded delivery, from architecture and board bring-up through serial production and field deployment
act as a hands-on contributor to Embedded C development for Real-Time, resource-constrained, mission-critical platforms
drive hardware/software integration together with electrical, mechanical, and systems teams - from prototype through production
ensure reliability, deterministic Real-Time behavior, and efficient resource utilization of firmware running on fielded systems
conduct code and design reviews, enforce best practices, and maintain high development, testing, and documentation standards
manage sprint planning, task prioritization, technical roadmap alignment, and delivery timelines within an agile framework
support recruitment, onboarding, and professional development of Embedded engineers.

Required Senior AI Growth Builder
Description
About Us:
We are bootstrapped and has been profitable since day one. We built one of the most efficient programmatic acquisition engines on the planet: processing billions of ad decisions a day, generating terabytes of live behavioral data, and turning it into margins most SaaS companies would kill for.
At the core of that engine is a team of data scientists and ML engineers running tens of billions of sub-second predictions a day, deciding in milliseconds which impression is worth buying and what its worth.
Now were taking everything weve learned about how people move through the web and putting it into our most innovative consumer product yet: Ace AI, an AI-native browser already reaching millions of people, built to simplify and improve everyday online life with the help of AI.
This is a rare opportunity: a category that hasnt meaningfully changed in over a decade, and a profitable company with the data and the acquisition engine to win it on its own terms.
Come build it with us.
What Youll Do:
Take Full Strategic & Operational Ownership: Drive end-to-end user acquisition, onboarding, and retention initiatives from strategy through hands-on AI-first execution.
Architect Scalable AI Systems & Automations: Design and deploy automated pipelines, interactive webs, custom scripts, and AI-driven workflows (using tools like Claude Code, Cursor, Replit, or custom APIs) to solve distribution and growth challenges without relying on core engineering.
Lead Advanced Experimentation & Funnel Optimization: Formulate hypotheses, configure, and run rapid A/B tests across the entire marketing and product funnel to continuously optimize acquisition, activation, and retention metrics.
Build Sub-Products & Growth Experiences: Initiate, plan, develop, and monitor sub-products, landing pages, and interactive user experiences directly within the growth domain.

Required AI Growth Builder
Description
About Us:
We are bootstrapped and has been profitable since day one. We built one of the most efficient programmatic acquisition engines on the planet: processing billions of ad decisions a day, generating terabytes of live behavioral data, and turning it into margins most SaaS companies would kill for.
At the core of that engine is a team of data scientists and ML engineers running tens of billions of sub-second predictions a day, deciding in milliseconds which impression is worth buying and what its worth.
Now were taking everything weve learned about how people move through the web and putting it into our most innovative consumer product yet: Ace AI, an AI-native browser already reaching millions of people, built to simplify and improve everyday online life with the help of AI.
This is a rare opportunity: a category that hasnt meaningfully changed in over a decade, and a profitable company with the data and the acquisition engine to win it on its own terms.
Come build it with us.
What Youll Do:
Take full responsibility for growth: lead user acquisition projects from strategy through execution, using AI as your main working environment.
Configure and run A/B tests across the marketing funnel within your scope and analyze performance to drive a continuous improvement feedback loop.
Create your own growth levers: build scrapers, automations, and custom AI workflows to solve distribution challenges.
Initiate, plan, develop, and monitor sub-products and experiences within the product without relying on developers.

We are hiring a hands-on AI expert to shape our intelligent platform, organizing complex real estate data into actionable insights and predictive models that power smarter investment decisions.

Responsibilities
AI/ML Architecture: Design and implement scalable AI systems using models such as LLMs (e.g., OpenAI, Anthropic) and computer vision (e.g., YOLO, CLIP).
MCP Integration: Architect and orchestrate model context flows using MCP or similar frameworks to deliver personalized, context-aware experiences
FinTech Platform Integration: Embed intelligent features into our backend and frontend systems, ensuring seamless UX and robust performance
Hands-On Development: Write production-grade code across Python, TypeScript, and Node.js. Own key modules and guide technical decisions
Team Leadership: Mentor a few developers, set engineering standards, and foster a culture of experimentation and excellence
Data Strategy: Collaborate with product and data teams to define training datasets, feedback loops, and model evaluation pipelines.

What am I going to do?
Manage the end-to-end chatbot roadmap and sprint delivery, ensuring all project deadlines and key performance indicators are met with precision.
Translate overarching company strategic goals into actionable chatbot experience improvements, effectively communicating updates and insights to diverse stakeholders.
Mentor and provide hands-on guidance to team members, fostering their growth in areas like advanced prompting techniques on platforms such as Forethought.
Leverage data analysis to deeply understand chatbot performance, driving continuous optimization and informing strategic decision-making.
Facilitate key team meetings and foster a collaborative and inclusive team culture.

What you'll be doing

Set the AI roadmap for the company, and push AI initiatives across the organization.

Run the weekly AI review, where each function shows what it automated that week.

Enable the CEO directly, keeping him at the front line of AI technology, and drive tech stack improvements.

Work closely with R&D leadership to ensure cross-company collaboration.

Enabling the Sales, CX and Marketing teams to become AI-native.

Ramp every new hire on the ScaleOps AI stack within their first two weeks.

Audit every function for AI gaps and prioritize by revenue impact.

Measure adoption - hours saved, tasks automated, usage rate per skill.