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Required Senior DevOps Engineer
Description
Are you interested in working in an agile environment supporting and delivering industry-leading field service mobile applications and services?
Youre a talented, remarkable, and ambitious DevOps Engineer with good skills in Back end development? Come join us!
As a Senior DevOps Engineer, you will ensure the reliability, availability, and scalability of our infrastructure, applications, and services. You will work closely with our development and operations teams to ensure our systems are optimized for performance and security.
The role
You will be in charge of:
- Managing AWS or other equivalent cloud provider infrastructure
- Managing and operating GitHub / Bit bucket repositories and Docker
images
- Support and troubleshoot the engineering / research teams with AWS and
GitHub issues
- Setting up, maintaining, and deploying tools and products to various
distributed systems.
- Managing and enforcing our infrastructure security.
Position in our office at Jerusalem.

Required Team Leader iOS
Description
If you have a strong background in iOS development, excellent leadership skills, and a passion for building innovative applications, we want to hear from you!
The role:
Lead and manage a team of iOS developers, providing technical guidance, mentorship, and support to ensure the successful delivery of high-quality iOS applications.
Collaborate with cross-functional teams, including product managers, designers, and backend developers, to define project requirements, scope, and timelines.
Drive the architectural design and technical decision-making processes for iOS projects, ensuring scalability, performance, and maintainability.
Hands-on iOS development using SwiftUI and UIKit, actively contributing to the codebase and conducting code reviews to ensure best practices are followed.
Conduct regular performance evaluations, provide constructive feedback, and identify areas for skills development and training within the iOS team.
Stay up-to-date with the latest trends and advancements in iOS development and bring innovative ideas and solutions to the team.
Act as a point of contact for clients or stakeholders, addressing technical queries, providing project updates, and managing expectations.
‍Position in our office at Jerusalem.

Identify opportunities to make structured, node-based workflows more intuitive, adaptable, and accessible to a broader range of creators
Develop abstraction layers and editing capabilities that allow teams to modify and extend existing workflows without sacrificing quality or consistency
Shape capabilities that enable users to generate variations and new outputs efficiently within defined creative systems
Balance foundational investments with user-facing improvements to support both immediate adoption and long-term scalability
Translate complex systems and workflow concepts into clear, compelling narratives for cross-functional stakeholders
Establish success metrics around workflow adoption, output quality, scalability, and user impact

We are looking for a Senior Data Scientist to lead the development of machine learning solutions powering real-time decision-making and recommendation systems in industrial production environments.

This is a hands-on role with end-to-end ownership. You will be responsible for the full modeling lifecycle, from problem framing and data exploration to modeling, evaluation, deployment, and production impact. You will work with complex, noisy sensor and control data, building models that must be robust, interpretable, and reliable in real-world conditions.

You will collaborate closely with deep learning researchers, research engineers, and domain experts, and play a key role in shaping how data science is applied across the system.
Key Responsibilities


Design, develop, and evaluate machine learning models for real-time industrial applications
Own the end-to-end modeling pipeline, including problem formulation, data preparation, feature engineering, model development, evaluation, deployment, and post-production monitoring
Translate ambiguous production challenges into well-defined data science problems
Lead feature engineering and data exploration on complex sensor and control datasets
Define KPIs, evaluation frameworks, and experimentation strategies
Ensure model robustness over time, including monitoring, drift detection, and continuous improvement
Work closely with data and research engineers to bring models into production
Drive best practices in modeling, validation, and reproducibility
Communicate insights, trade-offs, and recommendations clearly to stakeholders

This role sits at the intersection of customers, Engineering, Data Science, GIS, Sales, Marketing, and Customer Success. You will translate validated market needs into scalable products, clear technical requirements, and prioritized roadmaps.

The ideal candidate combines strong product strategy, technical fluency, customer discovery, and hands-on product ownership, with experience building B2B technology products in data-rich or infrastructure environments.



Key Responsibilities


Product Strategy & Roadmap

Own and evolve the product roadmap in line with company and revenue goals.
Shape the positioning and evolution of Recover, EarthWorks, EO Discover, and future SaaS, DaaS, API, and AI offerings.
Prioritize scalable, recurring product opportunities over one-off customer requests.
Build business cases and define product KPIs to support investment and prioritization decisions.


Customer & Market Discovery

Conduct structured Voice of Customer research with utilities, engineering firms, agencies, and partners.
Translate customer workflows into clear problem statements, personas, and Jobs-to-be-Done.
Validate concepts through prototypes, MVPs, pilots, and market feedback.
Assess market size, adoption potential, and willingness to pay.


Product Ownership & Delivery

Translate strategy into epics, features, user stories, and acceptance criteria.
Own and prioritize the backlog based on customer value, strategic fit, dependencies, and effort.
Partner closely with Engineering, Data Science, UX, and GIS through planning, refinement, development, and release.
Coordinate UAT, define release criteria, and ensure clear traceability from customer problem to measured outcome.


Technical Product Leadership

Work across SaaS, cloud platforms, APIs, integrations, AI/ML, geospatial analytics, remote sensing, and SAR.
Translate technical capabilities into customer-facing products and workflows.
Understand architecture, data flows, integrations, and technical trade-offs well enough to work effectively with R&D.
Challenge technology-led development that lacks clear customer or market value.


Go-to-Market & Product Performance

Partner with Marketing, Sales, and Customer Success on ICPs, packaging, pricing, positioning, launches, pilots, and POCs.
Support strategic customer and partner engagements.
Track product success through adoption, retention, revenue, customer value, quality, and time-to-value.
Use customer feedback, product usage, and competitive insights to drive continuous improvement.


Product Operations

Improve intake, prioritization, release-management, and product governance processes.
Build practical templates and dashboards for roadmaps, business cases, launches, and product performance.
Strengthen coordination across Product, Engineering, Operations, Sales, Marketing, and Customer Success.

The Director of AI Enablement is both a builder and a transformation leader, someone who can identify opportunities, design and implement AI solutions, and drive adoption across the organization to create measurable business value.

Reporting directly to the CEO, this is a highly visible, hands-on leadership role at the intersection of business transformation, technology, and organizational change.

The successful candidate will lead AI roadmap, build practical AI solutions, drive adoption across functions, and help transform how work is performed throughout the organization.

What Will You Do?

Define and execute AI roadmap.

Identify, prioritize, and implement high-impact AI opportunities across the business.

Partner with business, operational, engineering, and corporate functions to understand workflows, pain -points and improvements opportunities.

Translate business challenges into practical AI use cases and measurable outcomes.

Design, build, pilot, and scale AI-powered solutions, including AI agents, copilots, automations, knowledge assistants, and business applications.

Partner with IT, Engineering, Infrastructure, and Security teams to ensure scalable, secure, and sustainable solutions.

Lead the transformation, not just the technology; drive AI adoption across departments and help leaders redesign processes and ways of working to maximize AI value.

Work hand-in-hand with HR and business leaders to lead the organizational transformation required to successfully adopt AI, build internal capabilities, and embed new ways of working across the company.

Establish and lead the core pillars of the AI Enablement program: Adoption, Infrastructure, and Solution Development.

Build and lead a community of AI Builders and Leaders across the organization.

Establish AI governance, Responsible AI practices, and security standards.

Measure and communicate business impact through adoption, productivity gains, efficiency improvements, time savings, and ROI.

Success is measured not only by building AI solutions, but by driving meaningful improvements in productivity, efficiency, quality, decision-making, and business performance across the organization.

a Product Manager role at a company scaling fast, working behind the scenes of some of the biggest live events in the world. Your decisions here actually move the needle. You'll dig into real problems alongside engineering, design, and customer success, and see your work shape a platform used by thousands of people around the world every single day. If you're motivated, eager to take real ownership, and ready to grow alongside a team that's just getting started - this is your moment.

What You'll do
Define and execute the product roadmap in alignment with company objectives and market demands.

Collaborate with cross-functional teams, including engineering, design, sales, and customer success, to deliver high-quality product solutions.

Conduct market research and analyze industry trends to identify opportunities for innovation and improvement.

Gather and prioritize product requirements based on customer feedback, business goals, and data analysis.

Develop detailed product specifications, user stories, and acceptance criteria.

Work closely with the engineering team to ensure timely delivery of features and improvements.

Monitor product performance, identify areas for enhancement, and drive continuous optimization.

Act as the voice of the customer, ensuring that product decisions align with user needs and expectations.

We're looking for a Senior Software Engineer to join us at a moment when AI is reshaping how software gets built and how attackers operate. You'll ship production code in a core engineering team, own features end-to-end, and help push our engineering org to be genuinely AI-native, both in what we build and in how we build it.
This is a hands-on role for someone who wants real ownership, works well with product and research, and is excited to use AI as a daily force multiplier.
Responsibilities:
Design, build, and ship features across our platform, from architecture through production
Own components end-to-end: performance, reliability, security, and long-term maintainability
Partner with product managers, security researchers, and other engineers to turn hard problems into shippable products
Lead the integration of AI capabilities (LLMs, agents) into the product where they create real user value, not just where they look good in a demo
Drive the adoption of modern AI coding tools (Cursor, Claude Code, Copilot) as part of your daily workflow, and actively mentor the team to level up their AI-driven development
Raise the bar on code quality, review culture, and technical decisions
Mentor other engineers and contribute to how the team works, not just what it ships.

We are looking for a Full Stack Team Lead to build and lead the C2 development team from the ground up. This role combines technical leadership and people management, with strong ownership over architecture, execution, and alignment with the broader system (core backend and edge platforms).

Responsibilities
Responsibilities:

Team Leadership

Build, lead, and mentor a team of frontend/full-stack developers
Define team standards, development processes, and best practices
Drive execution, delivery planning, and technical quality
Support hiring, onboarding, and growth of team members
Technical Leadership

Lead the design of the architecture (including microfrontend approach)
Guide implementation of a real-time, high-performance C2 application
Ensure scalability, maintainability, and modular system design
Make key technology decisions and define development guidelines
Review designs and code, ensuring alignment with architecture and standards
Cross-Team Collaboration

Work closely with Core (backend) and Edge (on-device) teams
Translate product roadmap and system constraints into technical direction
Ensure alignment between frontend, backend, and edge capabilities
Drive integration strategies across:
Real-time communication layers
Video streaming pipelines
Telemetry and control systems
System Ownership

Own the end-to-end frontend domain within a distributed system
Balance product requirements with technical constraints (real-time, air-gapped, edge)
Identify risks, trade-offs, and long-term architectural considerations
Lead debugging and resolution of complex cross-system issues

We are looking for a highly technical Senior Product Manager with a deep background in cybersecurity to join our Product team. This is a unique opportunity for a cyber expert to take full ownership of a strategic product domain and make a direct contribution to product execution and company success. You will lead the technical roadmap, defining specifications that require a profound understanding of security vulnerabilities, attack vectors, and the attacker's mindset, including where AI can amplify and evolve our cybersecurity capabilities.
Roles & Responsibilities:
Product Management activities throughout the entire product lifecycle in a fast-paced startup environment
Own roadmap strategy, build backlog, define and execute product functionality with the R&D team in agile methodology
Leverage deep cybersecurity expertise to perform market and competitive analysis and drive product strategy
Define and drive AI-driven product capabilities, shaping where AI fits within the cybersecurity domain and owning decisions about model behavior, accuracy tradeoffs, and workflow integration
Collaborate with R&D, sales and customers to gain market insights and help drive revenue and ensure ongoing product successes

We are looking for a Senior Full-Stack Engineer to join us in building a new production-grade system for the enterprise from scratch. This is a role for an experienced engineer who knows what it takes to bring such a system to production end to end, and treats AI as a core part of the toolkit, both as a force multiplier in how they build and as a first-class capability in what they build. In this role, you will be a key member of our growing team of developers, data scientists, and analysts. You will build a complex, data-intensive system that is powered by LLMs and intelligent agents, and provides a delightful experience to our users.
Responsibilities:
Help architect and build a new AI-native system from the ground up, making foundational design and technology decisions.
Own features end to end, from design through production, deployment, and maintenance.
Build AI-powered product features - integrate LLMs, RAG pipelines, agents, and ML models into production with attention to performance, reliability, guardrails, and observability.
Work AI-natively - use AI coding assistants and agentic tools to accelerate design, implementation, testing, and review, while owning correctness and quality.
Establish and improve the platforms, patterns, and tooling the team builds on.

We are seeking an experienced and passionate BI Developer with a strong background in Data Analysis to join our growing Data & Analytics team. In this role, you will own the entire BI development lifecycle-delivering scalable, reliable BI solutions and actionable insights.

You will play a key role in developing a robust data infrastructure, building intuitive dashboards, and ensuring data integrity across all reporting layers. The role is ideal for candidates who are adept at balancing hands-on development work and data analysis. You will thrive in this position if you enjoy solving complex problems, simplifying intricate data pipelines, and translating business needs into efficient data models and visualizations.

Core Responsibilities
‍Dashboard Development - Design, implement, and iterate KPI‑oriented Tableau dashboards that expose product, growth, and engagement signals.‍‍
‍ETL / ELT Engineering - Partner with data engineers to architect and orchestrate ELT pipelines. Youll own the analytics layer and semantic definitions.
Hands‑on experience with Amazon Redshift and dbt is a significant advantage.
‍Data Quality & Governance - Deploy validation tests, reconciliation queries, and lineage tracking to guarantee accuracy, consistency, and traceability across curated datasets and published metrics.‍
Data Analysis - Perform deep-dive analysis on dashboards to generate meaningful, actionable insights.

our company seeks an experienced offensive security leader to build and lead the Product Red Team. This newly established function emulates real-world attacks against synthetic company customer instances to identify vulnerabilities, misconfigurations, and design gaps before external threat actors or researchers discover them.
This role requires an operator who has led offensive security operations in high-consequence environments-covert intelligence or military settings preferred-with proven ability to establish operational standards, navigate ambiguous mission parameters, and influence cross-functional stakeholders around complex security trade-offs.
You will build upon this team's charter, engagement frameworks, and rules of engagement with other teams. You will help drive our company's product security and response posture through adversary emulation, vulnerability research, exploit development, and collaboration with other offensive and defensive teams.
Key Responsibilities
Establish Operations Objectives, Policies & Procedures
Own Product Red Team's operation objectives and engagement selection criteria in alignment with product security roadmap and risk register, CISO directives, and company priorities.
Expand upon rules of engagement, threat actor emulation standards, testing policies, and protocols.
Establish operational security procedures for covert operations, detection evasion, and incident response protocols.
Create escalation procedures and approval frameworks for high-risk engagements.
Own campaign selection processes, engagement proposal templates, and findings documentation and readout standards.
Define Engagement Framework & Success Metrics
Design and implement engagement types: vulnerability risk assessment, product security assessments, and ongoing adversarial campaigns.
Establish and report on technical and operational success metrics: kill chain coverage, remediation velocity, and detection engineering insights.
Create reporting templates-technical findings, executive briefings, engineering recommendations-that drive actionable remediation.
Define boundaries and operational testing windows in coordination with product engineering and detection engineering teams.
Lead Offensive Operations Team
Build team capability across threat actor emulation, exploit development, persistence mechanisms, supply chain security, and AI-specific attack vectors (prompt injection, model manipulation, data poisoning).
Mentor team on operational security tradecraft, documentation discipline, and risk management under ambiguous conditions.
Support team members in their time zones, spanning from US West Coast to India.
Conduct Complex Offensive Operations
Design and execute operations simulating realistic attack paths against synthetic customer instances-from initial access through persistence, lateral movement, and data staging.
Demonstrate real-world exploitability of vulnerability chains, design flaws, and configuration gaps.
Validate security controls, detection capabilities, and logging sufficiency across kill chain phases.
Identify and exploit legitimate our company features for malicious purposes ("living off the land" testing) to reveal detection gaps.
Build and operate proof-of-concept exploits and command & control channels that inform both remediation and detection priorities.
Navigate Cross-Functional Complexity.

Were looking for a Director of Data to lead our evolving Data organization. This is a unique opportunity for an experienced technical leader who thrives at the intersection of leadership and execution. In this role, youll shape the future of our data platform and infrastructure while remaining closely connected to the technology, architecture, and innovation that drive our business forward.
Why Join Us
Lead a strategically important Data organization during a transformative phase of growth and evolution.
Shape the technical vision, operating model, and future direction of Data Engineering and Data Infrastructure.
Work hands-on with modern data technologies, AI-driven workflows, and emerging platforms while operating at a senior leadership level.
Influence critical company-wide initiatives and partner closely with leaders across R&D, Product, Finance, Support, and GTM.
Join a culture that values ownership, technical excellence, continuous learning, and meaningful impact.
Key Responsibilities
Lead our Data organization in its next phase, driving a lean, high-performing, and highly technical operating model.
Own the technical vision, architecture, and execution across Data Engineering and Data Infrastructure.
Directly manage and mentor a multidisciplinary team, fostering growth, accountability, and engineering excellence.
Provide strong hands-on technical leadership, guiding architectural decisions, reviewing designs, and driving execution on critical initiatives.
Partner with stakeholders across the organization to deliver scalable data products and platforms that support business and product needs.
Drive modernization of our data ecosystem, balancing proven data technologies with emerging approaches in AI, automation, and modern data platforms.
Lead strategic initiatives involving critical infrastructure, platforms, and investments, ensuring scalability, reliability, and operational efficiency.
Champion best practices in data engineering, platform reliability, observability, and operational excellence.

We are looking for a Senior Product Manager to join us and help build the next generation of our UGC (User-Generated Content) platform, powered by AI.
This role focuses on creating AI-driven capabilities on top of our core products - enabling brands to better collect, understand, and activate customer content such as reviews, ratings, and visual UGC.
You will work in a strong product trio with design and engineering to discover, validate, and deliver solutions that create real value for customers and drive measurable business impact.
This is a unique opportunity to shape how AI transforms customer content into actionable insights and growth engines for e-commerce brands.
What youll do:
Partner closely with engineering and product design in a product trio to discover and deliver impactful solutions
Lead continuous discovery with customers, prospects, and internal stakeholders
Define problems worth solving at the intersection of UGC, AI, and e-commerce
Translate customer and business needs into clear product direction and priorities
Drive fast iteration cycles from discovery to delivery and learning
Use qualitative and quantitative insights to inform decisions and measure outcomes
Work closely with GTM, sales, and customer success to ensure strong product adoption and feedback loops
Become a domain expert in UGC, customer behavior, and AI-driven product capabilities.