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We are looking for a talented DevOps Engineer to join our team, learn develop and grow with us. In this role you will work collaboratively with our RnD teams to empower the operations and infrastructure array, which is essential to support our ambitious goals.
Build and maintain a scalable cloud infrastructure in Production (Azure, GCP)
Troubleshoot and fix Production infrastructure/platform issues
Proactively and continuously improve Production stability and robustness to assure our infrastructure components are always up and available
Develop end to end projects in order to make our infrastructure better in large-scale including design, implementation, and ongoing maintenance.
Cost Optimization: Monitor and optimize cloud costs associated with data infrastructure and processes.

Required Senior DevOps Engineer
Description
Come work with intensely curious people who are dedicated to innovation, growth, and protecting customers against cybercrime and fraud!
Your Job:
The DevOps Engineer is a key member of the DevOps Team.
As a DevOps Engineer, you will be part of the entire R&D chain, define the deployment processes, orchestrate the provisioning of new services, design and tune the infrastructure to support the growth of our engineering and application scale, and develop tools to increase productivity across teams.
Our Stackß:
Kubernetes, Micro Services from all the flavors (NodeJS, Python, Kotlin, etc.), GitHub, Bitbucket, Kafka, Redis, RabbitMQ, Postgres, Apache Spark, Cloud Infrastructure, Jenkins, RunDeck, Terraform, MongoDB, Docker, Linux.

We are looking for a Business Application Specialist‏ to support and evolve our GTM systems, with a strong foundation in Salesforce and CPQ processes.
This role is ideal for someone with 2+ years of hands-on Salesforce experience who wants to expand into broader business systems, automation, integrations, and AI-driven process optimization.
You will work closely with Sales, Marketing, RevOps, and Finance stakeholders to ensure our CRM and revenue systems effectively support business growth.
Salesforce and CPQ are the core foundation of this role. Over time, you will gain exposure to integrations, workflow automation (N8N), AI use cases, and cross-system architecture.
About us:
Shipping accounts for over 90% of global trade, yet the industry remains decades behind in digitization and automation. Operating safely and efficiently in congested ports and high-traffic sea lanes is becoming increasingly challenging.
we are transforming maritime operations through real-time AI and computer vision, delivering next-generation situational awareness and decision-making.
Our platform connects onboard crews with shoreside teams, improving navigational safety, reducing human error, and supporting decarbonization through performance optimization.
Founded in 2018, we are a fast-growing scale-up in an incredibly strong position. We recently raised $73M in a Series B round (May 2025) and have over 1,100 systems deployed to industry giants like MSC, Seaspan, and NYK. What sets us apart is our data - over 100 million nautical miles of proprietary data, making it the largest maritime AI dataset in the world.
As we scale rapidly, we are looking for passionate individuals to join us in defining the future of the maritime world.
Key Responsibilities:
Salesforce & CPQ (Core Responsibility)
Configure and maintain Salesforce (fields, layouts, flows, validation rules, permissions).
Support opportunity lifecycle management, forecasting, and pipeline visibility.
Maintain and optimize CPQ processes (Dealhub or similar), including:
Pricing structures
Discount approvals
Product configuration logic
Quote-to-opportunity synchronization
Troubleshoot quoting and CRM-related issues during active deal cycles.
Maintain high data quality and system governance.
Business Applications & Process Ownership
Gather business requirements from GTM stakeholders and translate them into scalable system solutions.
Independently lead small-to-medium scoped system improvements.
Support cross-functional initiatives impacting revenue workflows.
Integrations, Automation & AI (Growth Area)
Assist in maintaining integrations between Salesforce and external systems.
Support and gradually build automation workflows (N8N or similar).
Identify opportunities to reduce manual work through automation.
Explore AI-driven improvements across GTM systems.
Continuously expand technical capabilities beyond CRM administration.

Required Senior Data Engineer
Main responsibilities:
Provide the direction of our data architecture. Determine the right tools for the right jobs. We collaborate on the requirements and then you call the shots on what gets built.
Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Optimize and monitor the team-related cloud costs.
Design and construct monitoring tools to ensure the efficiency and reliability of data processes.
Implement CI/CD for Data Workflows.

We are looking for a peoples person with leadership character, who is business savvy and extremely analytical to join our Product team as a Senior Product Operations Manager.
In this role, you will partner closely with our Product leadership, along with leaders in other functions, to turn complex, cross-functional challenges into clear processes, operating models and scalable growth mechanisms. You will help enable the Product team to move faster with clarity and confidence by building new systems, governance, metrics and execution frameworks that support our award-winning platform. You will be engaged in both strategic planning and hands-on operations, leading critical operating forums and ensuring we execute on our highest priority initiatives.
To be successful in this role, you will have a builder, driver and owner mentality - you are energized by problem-solving, an exceptional collaborator, biased toward action, and an organized thinker. You proactively seek opportunities to drive operational improvements and develop innovative, thoughtful solutions to support your partners.
What youll be doing
Own and evolve our core product operating processes across the product ecosystem; Identify operational friction, inefficiencies and gaps, and proactively drive systemic improvements
Implement tooling, automation and documentation to improve visibility, predictability and scalability of product operations, while enabling AI-ready workflows, data foundations and decision support
Partner closely with Product, R&D, CSM, Ops, GTM and Finance leaders to translate strategy into executable plans, milestones, and measurable outcomes; proactively remove blockers and drive execution
Manage internal initiatives and projects accelerating business growth and strategy, and act as a trusted operator for complex, ambiguous initiatives that span beyond a single product or team
Drive critical operating reviews, including execution check in, customer feedback loops and core prioritization discussions.
Communicate product goals, progress and performance data to stakeholders at all levels, including executive leadership.

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

We are looking for a hands-on DevOps Team Lead to take ownership of our infrastructure, DevOps practices, and automation pipelines.
You will be the technical and operational lead for a small but growing DevOps team, driving reliability, scalability, and security across our cloud environments.
In this role, you will split your time between leading and mentoring the team, designing and evolving infrastructure, and implementing solutions.
What Youll Do
Lead, mentor, and grow the DevOps team.
Define and enforce DevOps best practices across infrastructure, CI/CD, and security.
Manage the SeaPod Lab environment for developer and test usage.
Operate and evolve the SeaPod Server Linux infrastructure, deployed at scale worldwide, handling complex connectivity and security.
Maintain consistent baselines, update tools, and ensure fleet-wide monitoring and support.
Design, manage, and evolve AWS infrastructure (VPC, IAM, networking, RDS, EKS, etc.).
Operate and upgrade Kubernetes/EKS clusters, manage Helm charts, operators, and custom resources.
Define namespace policies, quotas, and resource allocations.
Drive security, compliance, and cost optimization.
Maintain and enhance GitLab CI pipelines for multiple workloads (Lambda, EKS, EC2, etc.).
Integrate testing, linting, and vulnerability scans into CI/CD workflows.
Build reusable pipeline components for microservices.
Own monitoring and alerting strategies (Grafana, CloudWatch, Coralogix, Prometheus).
Operate and tune PostgreSQL (RDS, Aurora) and manage backups/restores.
Manage distributed tracing. Lead upgrade from Fluentd → OpenTelemetry.
Architect and deploy serverless solutions (Lambda, DynamoDB, API Gateway).
Integrate with event-driven services (SNS/SQS, Kinesis, RDS Proxy).
Manage IAM roles/policies, secrets, and security posture.

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 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 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'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.

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.

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 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