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We are seeking a highly skilled Software Engineer to join our R&D team. The ideal candidate will work closely with hardware engineers to create efficient, reliable, and scalable embedded solutions for various applications.
Heres what youll be doing:
Implement C++ and Python software for data processing, system-level orchestration, and image acquisition.
Acquire and manage data streams from sensors and imaging devices.
Develop and maintain highly efficient C++ Code in a dockerized Linux environment
Collaborate with HW & FW engineers to ensure seamless integration between software and hardware components.
Develop software that interfaces with embedded systems and MCU-based firmware.
Design and maintain data pipelines to ensure reliable transfer of heavy data (images/video) from the edge device to cloud environments.

Were looking for an experienced and proactive Project Manager to join our growing team. In this role, you will take ownership of project setup, execution, and ongoing system maintenance, ensuring our clients receive seamless onboarding, reliable performance, and long-term value. You will lead cross-functional teams, balance multiple priorities, and drive project success through strong organization, communication, and problem-solving.
Responsibilities
Project Setup, Onboarding & Transition: Lead the project from kickoff through full implementation at the clients site. Ensure smooth transition, on-time delivery, and a high-quality onboarding experience. Coordinate with internal teams to guarantee readiness of resources, data, and tools.
Ongoing Stakeholder Communication: Act as the projects operational owner, managing setup of the system, client requests, system issues, and optimizations. Monitor system stability and performance to ensure long-term reliability and value. Drive improvements in workflows, resolving recurring bottlenecks and risks.
Cross-Functional & Stakeholder Management: Serve as the main point of contact for internal and external stakeholders (Customer Success, Support, Operations). Maintain transparency, responsiveness, and alignment across all project phases.
Issue & Risk Management: Proactively identify potential risks in the process, bottlenecks, recurring issues, or client dissatisfaction. Escalate appropriately and work cross-functionally to identify root causes.
KPI Tracking & Performance Monitoring: Define, track, and report on key performance indicators (KPIs) to measure project success and team performance. Use insights to drive accountability and continuous improvement.
Continuous Improvement: Conduct monthly result analyses, draw insights from experiences, and strive to achieve the Delivery department's goals. Analyze and optimize delivery workflows to improve efficiency and scalability.

With significant global growth ahead, were seeking a Talent Acquisition Manager to lead and scale our global recruiting function. This is a strategic and hands-on leadership role for someone who thrives in fast-moving, high-tech environments and knows how to build structure while maintaining agility. You will lead a global team of Talent Acquisition Partners across the US, Israel, and the UK. Partnering closely with HR and senior leadership, youll shape and execute a scalable, high-performing talent strategy that fuels our next stage of expansion. As we continue to grow rapidly, elevating hiring quality, strengthening manager partnership, and driving process excellence will be critical to our success. You will have a seat at the table and the autonomy to design and implement a best-in-class recruiting function aligned with business priorities and long-term growth goals.
A day in the life and how youll make an impact:
Lead, mentor, and develop a high-performing global TA team (US, IL, UK), including four TA Partners.
Design and execute a global TA strategy that enhances candidate quality, strengthens hiring manager alignment, and supports rapid scale.
Partner with HR, Finance, and business leaders across R&D, GTM, and Operations to anticipate workforce needs and align recruiting priorities.
Implement scalable, data-driven recruiting processes that improve efficiency, reduce time-to-hire, and elevate candidate experience.
Drive the adoption of modern sourcing strategies, tools, and assessment methods to ensure consistency and quality of hires.
Build trusted partnerships with business leaders to embed accountability and clarity into the hiring process.
Collaborate closely with HR leadership to ensure seamless integration between recruiting, onboarding, and employee experience.
Use analytics to measure recruiting performance, diagnose issues, and continuously refine strategy.
What Success Looks Like:
Candidate quality improves significantly, stronger pipelines, higher hiring manager satisfaction, and better retention.
A consistent, scalable recruiting process is implemented across all regions and functions.
Time-to-hire and vacancy rates decrease while candidate experience scores rise.
The TA team operates with clear accountability, alignment, and measurable impact.
Leadership trusts and relies on data-driven hiring insights to make faster, better decisions.

We are establishing the company Intelligence Lab, a dedicated research team tasked with transforming the construction industry into a data-driven one. We are looking for a Construction Intelligence Researcher to be the creative heart of this team.
You will be the "Construction Geek" who bridges the gap between the chaotic reality of construction sites and organizations alike and the structured world of data.
Your mission is to define the new "ruler" for the industry. This role blends invention with deep discovery. You will not only conceptualize your own novel metrics but also research the market, speak with industry leaders, and collect ideas to understand what truly matters to construction executives today. By combining these external insights with our company's unique data, you will define proprietary metrics, uncover counter-intuitive insights about how projects actually perform, and establish the benchmarks that the industry will look to for guidance. You will work side-by-side with a technical Data Analyst to validate your theories, but you are the one defining what we measure and why it matters.
What Youll Do:
Research and publish New Performance Metrics for the construction industry: Use your deep construction knowledge to conceptualize new ways to measure project health, risk, and efficiency.
Exploratory Research & Insight Generation: "Play" with our massive dataset to find the stories hidden in the numbers. Ask the hard questions and dig until you find the data-backed answer.
Define the "Physics" of Construction Data: Act as the domain expert for the Lab. You will translate construction logic (schedules, logistics, trade flows) into data requirements that our technical analysts can query and code.
Benchmarking & Industry Standards: Lead the creation of industry-wide benchmarks. Analyze aggregated data to determine what "good" actually looks like across different sectors and regions.
Author Data-Driven Narratives: Turn your research into compelling insights. Collaborate with our marketing team to turn raw findings into "Deep Dive" reports and bite-sized insights that challenge the industry's status quo.
Continuous Iteration: Constantly test your metrics against reality. Review findings with customers and internal experts to ensure our "Intelligence Engine" reflects the true pulse of the job site.

We are seeking a highly experienced and hands-on Global VP, Finance & Accounting, to lead the companys corporate accounting function, financial reporting, and compliance. This role will serve as the senior leader responsible for ensuring accurate, timely, and audit-ready financial statements across a multi-entity environment, while maintaining strong internal controls and governance.
This leader will own the end-to-end accounting close, technical accounting, US GAAP compliance, and external audit execution, and be in charge of the companys core corporate accounting operations, including general accounting, corporate AP, and oversight of AR accounting and financial statement accuracy.
A day in the life of how youll make an impact:
Own the monthly, quarterly, and annual close processes across all entities, ensuring timely, accurate reporting in accordance with US GAAP.
Lead the preparation and review of financial statements and serve as the final authority on technical accounting interpretations, including revenue recognition (ASC 606) and lease accounting (ASC 842).
Ensure all balance sheet accounts are reconciled, substantiated, and fully audit-ready at all times.
Drive continuous improvement of the close process through automation, standardization, and increased discipline.
Oversee corporate accounting operations, including general ledger, payroll reconciliations, corporate payments, and non-manufacturing Accounts Payable.
Lead the companys internal controls framework and governance model, ensuring appropriate segregation of duties and compliance across all entities.
Manage the relationship with external auditors and lead the end-to-end audit process, from planning and fieldwork to final deliverables.
Build, lead, and scale a high-performing accounting team, establishing clear accountability and professional development paths.
Ensure financial data integrity and lead IPO readiness efforts, including SEC-compliant documentation and public-company governance standards.
Partner with Finance Operations to ensure final accounting treatment and GAAP compliance for manufacturing, inventory, and shipment-related activities.

Our algorithms group is responsible for all of the AI and algorithmic challenges the company is facing, tackling complex real-world problems that directly affect the companys success. As a lead data-scientist, you will lead a new research area and a small team within the company. This is a primarily hands-on role where you will build the AI workflows that digest a large amount of construction documents and architectural models to help with one of the product core processes.
What Youll Do:
Lead and mentor a small team while remaining deeply hands-on in all development aspects-from design to production-of LLM-based workflows to digest information from a variety of construction-oriented documents
Research, design, and integrate LLMs to deliver advanced automation and reasoning capabilities
Develop datasets and benchmarks to evaluate and monitor LLM-based applications effectively
Build LLM evaluation and optimization processes.