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We are looking for a Backend Engineer to join our Data Engineering team and build backend components and data-focused infrastructure for large-scale data processing.
You will design and maintain core microservices and data pipelines that power our products and provide reliable data sources to teams across the company.
Your work will focus on customer-facing features that depend on complex data assets, with an emphasis on reliability, clear SLAs, observability, and flexibility.
What you will do:
Design and implement infrastructure for high-volume data processing
Continuously improve performance, cost, and reliability at scale
Collaborate with frontend teams on customer-facing features and applications
Work with stakeholders across the company to ensure data processes meet their requirements
Maintain high engineering standards: testing, observability, clean code, and solid CI/CD practices

At our company, we build AI-powered vision systems that enhance safety and decision-making for some of the worlds largest vessels.
Our platform processes live video streams from multiple onboard cameras to provide real-time situational awareness, detecting and tracking marine objects, even in low visibility and highly congested environments. These systems directly support navigational decisions and help prevent collisions, reduce human error, and improve operational efficiency.
Our systems are already deployed across thousands of vessels and have processed hundreds of millions of nautical miles of real-world data, operating in unpredictable and safety-critical conditions.
This role sits at the intersection of AI and high-performance systems engineering, focused on solving real-world problems under strict constraints. You will work on systems where performance and reliability are critical and where improvements have a direct, measurable impact on real-world safety.
This is a senior, systems-focused role with end-to-end ownership over performance and reliability of production computer vision pipelines. You will define optimization strategies, identify bottlenecks across the system, and drive improvements under real-world constraints.
What youll do
Build and optimize real-time computer vision pipelines running on edge systems processing live maritime video streams (e.g, NVIDIA Jetson, Triton Inference Server)
Take models from research and turn them into production-ready, reliable components deployed on vessels
Profile and improve end-to-end system performance across: multi-camera video ingestion; preprocessing; inference; postprocessing
Identify and resolve bottlenecks across CPU, GPU, memory, and pipeline coordination
Make and justify tradeoffs between latency, accuracy, stability, and resource utilization
Design and implement robust data and inference pipelines (video -> model -> actionable output for crew)
Develop benchmarking and evaluation workflows to measure performance end-to-end and support release gating
Build and improve observability tools, including logging, monitoring, and debugging workflows for production systems
Define and maintain clear interfaces between research code and production systems
Work closely with research and backend teams to integrate new models into production systems
Continuously improve system efficiency and reliability under hardware and runtime constraints.

we are revolutionizing maritime operations with cutting-edge computer vision, augmented reality, and autonomous technologies. Our mission is bold: make ocean shipping safer, more efficient, and significantly greener.
From real-time navigation assistance to AI-driven insights that reduce fuel consumption and prevent collisions, were building a future where ships sail smarter. Join our growing team and help shape the next generation of intelligent maritime systems used by leading fleets across the globe.
The Role
Were looking for a Senior Software Engineer with a passion for solving tough technical challenges, working across the stack, and building systems that matter. This is your opportunity to work on an advanced, real-world product involving computer vision, edge computing, and scalable cloud architecture.
What Youll Do
Design and implement robust, scalable components across the software stack.
Take end-to-end ownership of complex features-from concept to deployment.
Collaborate with product managers, system engineers, and AI researchers to build integrated solutions.
Contribute to a high-performance platform that combines real-time sensor data, video analytics, and cloud services.
Build and maintain CI/CD pipelines and automated test frameworks.
Lead with quality-writing clean, testable code and applying TDD principles.
Mentor teammates, share knowledge, and help set best practices across the team.

We are looking for a Data Scientist to join our team.
The ideal candidate is a highly motivated and self-driven individual with strong analytical and problem-solving skills. The Data Scientist will be responsible for analyzing data and developing models to help inform decisions and strategies for new products and business initiatives.
Responsibilities:
Work closely with stakeholders to understand business requirements and develop predictive models to detect fraud.
Develop and implement statistical models, machine learning and deep learning algorithms to solve complex problems in a production environment.
Perform exploratory data analysis and data visualization to gain insights and communicate findings.
Collaborate with cross-functional teams, including data engineers and software developers, to design and implement end-to-end solutions that can be deployed in production.
Implement advanced analytics tools and technologies to enhance reporting capabilities.

we are hiring a VP Marketing to build and scale a world-class AI-first marketing organization.

This is not a channel operator role, but rather a systems architect position. The VP Marketing designs, builds, and operates the full marketing engine across Brand, Growth, Product Marketing, and Strategy & Operations. The mandate is to turn marketing into a predictable, capital-efficient growth system aligned with business outcomes.

The role carries an AI-first operating mandate. Marketing must be governed and executed through AI-enabled systems across planning, execution, analytics, and optimization to materially increase output, speed to signal, and efficiency.

The VP Marketing reports to the CEO and is a core member of the executive leadership team. Success is measured in revenue impact, efficiency, scalability, and organizational strength.

Responsibility
Business Outcomes:

You are accountable for marketings contribution to-

Marketing-sourced and influenced pipeline, including PLG signups and SLG demos, and Marketing-attributed revenue
CAC and payback improvement, funnel efficiency, and win-rate improvement, along with forecast accuracy
Marketing must be measurable, predictable, and aligned with company growth targets.

Brand & Category Leadership:

Define and evolve Anchors category positioning and narrative architecture while strengthening brand equity. Success is measured by brand visibility, branded demand growth, category association, and market credibility.

Growth Portfolio Strategy:

Design the growth portfolio across organic, paid, outbound, partnerships, field marketing, and emerging channels. Decide capital allocation across engines and balance short-term revenue drivers with long-term compounding assets while leading the Head of Growth organization.

Product Marketing & Lifecycle:

Own positioning and messaging architecture, define ICP segmentation and vertical expansion strategy, and govern website and conversion strategy. Build sales enablement systems and lifecycle, retention, advocacy, and virality motions aligned across PLG and SLG funnels. Success is measured by improved activation, win rates, velocity, and customer expansion.

Marketing Strategy & Operations :

Build marketing as a disciplined operating system, including OKRs, planning frameworks, dashboards, reporting standards, and forecasting accuracy. Govern budget planning, unit economics, and alignment with Sales and Product.

Marketing must operate through an AI:

Enabled system covering experimentation velocity, workflow automation, analytics, and performance management.

Leadership Mandate:

Design the marketing organization structure and hiring roadmap. Recruit and develop senior leaders while establishing operating rhythms, cross-functional alignment rituals, and governance processes.

What Success Looks Like in 12-24 Months

Predictable pipeline generation across multiple growth engines
Increased brand recognition and category presence
Improved CAC and payback
Faster funnel velocity and higher win rates
Marketing planning becomes modeled and forecastable
Leadership trusts marketing forecasts

We're hiring an AI-First Director of Finance & Compliance to own the financial backbone of a fast-scaling fintech company. Youll lead financial operations, planning, tax, compliance, and reporting - with AI as the operating system, not a layer on top. Every workflow you touch gets rebuilt for speed and leverage. Manual processes are technical debt and your job is to eliminate them. You will also oversee our payment compliance function - KYB/KYC, transaction monitoring, and financial crime risk - ensuring it scales with Anchors growth without adding headcount.

Responsibility
●Oversee the books. Manage the external bookkeeping firm handling GL, AP, AR, payroll, and reconciliations.

●Own financial reporting. Build AI-generated reporting pipelines for monthly and quarterly P&L analysis, unaudited quarterly reports, and annual audits - reducing the manual assembly time and making reporting continuously current rather than periodic.

●Lead tax compliance for U.S. and Israeli operations. Ensure adherence to all statutory financial requirements.

●Own FP&A. AI-driven forecasting, scenario modeling, and cash flow management - not spreadsheet-based. Models update dynamically, scenarios run in minutes, and board packages are generated from live data.

●Manage treasury. Cash flow, AP, AR, expenses, capital allocation, and revenue recognition - using AI to automate routine categorization, payment scheduling, and variance alerts so nothing falls through the cracks at scale.

●Drive board and investor reporting. Financial packages, KPI dashboards, and investor updates.

●Own regulatory compliance. Build and maintain compliance frameworks. Use AI-driven monitoring to flag risks and stay ahead of regulatory changes.

●Implement internal controls. Design and implement internal controls with AI-assisted monitoring - continuous audit trails, automated exception reporting, and real-time audit readiness rather than point-in-time preparation.

●Support capital strategy, including fundraising readiness and strategic financial decisions.

●Partner with leadership across Sales, Product, Marketing, Dev and Operations to align financial planning with company goals.

●Support pricing and deal structure decisions with financial modeling and margin analysis.

●Oversee payment compliance operations. Own the KYB/KYC and CIP onboarding workflows, sanctions screening, transaction monitoring, and case investigations - using AI-assisted review queues to surface high-risk signals and reduce manual triage so the compliance function scales with transaction volume without scaling headcount.

We are looking for a QA Data Automation Engineer to join our Data Team in a dynamic and challenging role, providing critical test coverage for our companys data pipelines, reporting layers, and analytics solutions.
In this role, you will be responsible for validating data integrity end-to-end - from raw ingestion and transformation layers to dashboards and downstream consumers. You will design and maintain automated tests to ensure accurate, reliable, and scalable data systems.
Key Responsibilities
Develop and maintain automated QA tests for data pipelines, transformations, and data products.
Perform and execute manual QA testing such as functional, regression, and sanity testing of applications, dashboards, and backend systems.
Validate data flow across the system, including: ingestion, transformations, reports/dashboards.
Perform data quality testing (completeness, consistency, accuracy, timeliness, schema validation).
Write and execute SQL-based tests to validate logic, joins, aggregations, metrics, and anomalies.
Build automation frameworks and validation scripts using Python.
Work closely with Data Engineers and Analytics/BI stakeholders to define test coverage and acceptance criteria.
Investigate failures and data issues, providing clear RCA and actionable bug reports.
Document test plans, test scenarios, expected results, and automation coverage.
Track issues in Jira, including reproducible steps and supporting evidence.
Continuously improve QA processes for better monitoring, reliability, and faster releases.

Were hiring a Senior Product Manager who moves the needle. Someone who thinks big, challenges assumptions, and brings bold, out-of-the-box features that truly elevate the product. Were looking for a builder who sees the full picture and knows how to turn vision into meaningful impact at scale.

In this high-impact role, youll dive deep into customer pains, map real-world workflows end-to-end, and transform complex insights into simple, elegant product experiences.

As a PM at Anchor, youll work hands-on with customers, engineers, designers, and data to shape a category-defining product that is fundamentally changing how businesses manage revenue.

Youll take full ownership of core product areas, constantly looking for ways to improve velocity, clarity, and impact - leveraging modern AI tools and approaches to rethink workflows, speed up discovery, and build smarter solutions.

If youre curious, empathetic, detail-obsessed, and excited to build a product that meaningfully improves how businesses operate and grow, wed love to meet you.

Responsibility
Deeply understand our users. Their workflows, pains, and business realities - and champion their voice across the company.
Own product discovery: conduct interviews, map journeys, define problems, validate assumptions, and derive actionable insights.
Translate insights and push initiatives forward end-to-end - from idea to release and adoption.
Work closely with other teams (CS, Sales, Design, Data, Engineering) to drive execution, ensure alignment, and smooth launches.
Maintain and prioritize a dynamic roadmap based on impact, effort, and strategic goals.
Track product performance, measure impact, and iterate rapidly.

Were looking for a Senior Backend Engineer whos eager to become one of our core team members and establish themselves as a significant building block of our products and company at this exciting and critical point in time before we reach greater heights.

Responsibility
Research, design, and implement high-performance resilient APIs and services
Contribute to a positive and collaborative team environment by sharing your knowledge and expertise
Collaborate with engineers and product managers to deliver robust solutions in short development iterations
Develop maintainable and clean code with heavy reliance on developer testing
Make thoughtful trade-offs based on business priorities, user needs, and a sustainable technical foundation

We're on the lookout for an exceptional Backend Engineer to join our team and become a key player in shaping the future of our products and company. This is your chance to be a significant building block at this thrilling and pivotal moment before we soar to even greater heights.

Responsibility
Scope, design, and implement high-performance APIs and services
Collaborate with engineers and product managers to deliver robust solutions in short development iterations
Develop maintainable and clean code with heavy reliance on developer testing
Make thoughtful trade-offs that consider business priorities, user needs, and a sustainable technical foundation

Plan, implement, and take full ownership of core features, ensuring the successful completion of the entire development cycle from design to deployment
Lead architectural decisions and create comprehensive implementation plans to ensure scalable and secure feature delivery.
Orchestrate parallel development streams to maintain high velocity across multiple branches and complex pull requests.
Drive technical excellence by proactively exploring and sharing new technologies, AI tools, and libraries to continuously improve code quality, build performance, and system scalability.
Collaborate with cross-functional teams to contribute to high-level system design and product strategy.
Create and integrate user interfaces from scratch, ensuring intuitive, high-performance, and responsive designs.
Contribute to back-end logic in NodeJS servers and monitor/fix production issues as they arise.

we are seeking for a Verification engineer. We are seeking a highly skilled Verification engineer to join a Processor Verification team working on nextgeneration processor cores. In this role, you will take a key part in verifying critical processor blocks, collaborating closely with architecture and design teams to ensure functional correctness. You will own verification activities endtoend from TEST planning and environment development to execution, coverage analysis, and closure- using advanced verification methodologies.

We are looking for a Senior Product Manager to own Medisons Partners platform strategy end to end. You are the DRI, accountable for the vision, plan, priorities, and the results. You come with deep product experience, strong judgment, and end-to-end ownership skills to lead this initiative from concept through MVP to a scalable platform. If you thrive in strategic, zero-to-one environments and want to build something meaningful on a global scale, this role is for you.
About Medison Medison is on a mission to ensure that every patient, regardless of where they live, has the opportunity to benefit from breakthrough therapies. We are addressing one of the pharma industrys most urgent challenges: enabling access to life-changing treatments for patients with severe and rare diseases in international markets where traditional commercialization models fall short. As the creator and leader of the global partnership category, we have built a first-of-its-kind unified commercialization platform that enables biotechs to effectively plan, optimize, and launch their therapies on a global scale. With a strong leadership team and a proven track record, we are the partner of choice for innovative biotech companies aiming to expand beyond the US, Western Europe and Japan into regions where most of the worlds population resides. Our Affiliate -like model seamlessly integrates commercial, medical and operational capabilities across diverse geographies, accelerating access and delivering life-changing treatments to more patients, faster.
Responsibilities:
What You Will Lead
* Own end-to-end product vision, roadmap, prioritization, and MVP boundaries (Prototype MVP Platform).
* Lead discovery and design discussions with discovery and prototype with a UX /design vendor and translate learning into clear product decisions.
* Work directly with the business and partners to convert their needs into clear product needs and Convert partner and business needs into user stories and a prioritized backlog focused on decisions and outcomes.
* Own delivery execution: milestones, timelines, resourcing needs, dependencies, risks, and progress tracking across workstreams.
* Synchronize UX, data / DWH, and Engineering to deliver one coherent product (aligned scope, assumptions, and releases).
* Ensure high-grade data governance (role-based access, closed-period logic, partner-relevant views).
* Drive practical AI adoption in the product: identify high-value use cases, define guardrails, and lead implementation so AI improves decisions (not a separate demo).
City:
Petah Tikva

our company, a software development company specializing in sophisticated e-commerce solutions, is looking for a motivated, talented, and skilled AI Officer. Our clients include leading brands such as McDonald's, Azrieli, Aroma Israel, Shlomo Group, Meshulam, Htzone, NewDeli, and more. This is a unique opportunity to showcase your talent, work with advanced technologies, collaborate with amazing colleagues, and support major customers.
Responsibilities:

* Monitor AI tools usage across the organization on an ongoing basis
* Ensure compliance with internal policies, procedures, and applicable AI regulations
* Review and approve requests for AI tool usage according to defined criteria
* Identify deviations, risks, and compliance gaps, and recommend corrective actions