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The AV Validation Infrastructure team is looking for an experienced backend Python developer with a strong background in data, pipelines, streaming, and databases to help us scale our infrastructure and services.
Our team is responsible for ensuring the safety and performance of autonomous vehicle (AV) by building the tooling, data systems, and automation that power large-scale validation.
Key Challenges:
Ingest vast amounts of driving data daily, and youll help design systems to store, process, and query it efficiently.
Work with both structured data (tables, metrics, logs) and unstructured data (images, logs, voice recordings, etc.), connecting them to understand vehicle behavior and AV version stability.
Support hundreds of internal and external users across the organization and customers, where reliability, usability, and performance are critical.
What will your job look like:
Design and develop large-scale automation infrastructure and internal tooling for AV validation
Build and maintain data-driven services and pipelines in Python
Develop and maintain RESTful APIs and queue-based / event-driven services
Work with CI/CD and infrastructure tools such as Jenkins, Linux, Kubernetes
Work with modern data and storage technologies, such as:
Data & compute: Spark (advantage)
Databases / data lake: Iceberg, Athena, DynamoDB, RDS, other SQL/NoSQL systems

We are seeking a skilled and motivated Data Engineer to join our dynamic team. The ideal candidate will have extensive experience in building and optimizing data pipelines, handling large datasets, and working within cloud-based and on-premise environments.
You will be responsible for designing and implementing efficient, scalable solutions to manage, process, and analyze high volumes of data, ensuring the reliability and performance of our data infrastructure.
What will your job look like:
Design, build, and maintain scalable data pipelines to process large datasets efficiently
Develop and implement data models and architectures that support both real-time and batch data processing
Ensure data integrity, security, and accuracy across all systems
Collaborate with data scientists, analysts, and other engineers to ensure data availability and quality
Optimize data retrieval and storage processes to handle large volumes of data seamlessly
Work with structured, semi-structured, and unstructured data, integrating various data sources
Troubleshoot and resolve data issues, ensuring continuous operation of the data infrastructure
Maintain and enhance ETL processes, ensuring scalability and performance in handling large datasets
Stay up-to-date with industry best practices and emerging technologies related to big data engineering

Our group is at the forefront of developing the world's most advanced software technologies and hardware architectures for autonomous vehicles.
Our team is responsible for the development of a fully automated end to end validation solution.As we are part of the end-to-end autonomous vehicle flows, we get to see the direct outcome and value of our work in the most advanced use cases which are developed .
What will your job look like:
Be the technical lead of the team that is responsible for the development of test content (mostly in Python) for the autonomous vehicle system and E2E flows
Review and approve system architecture requirements
Design and implement complex test solutions
Enforce compliance with autonomous vehicle industry standards

our company- Crafting Tomorrow's Retail Experience
We started with a simple question: How can vision AI make shopping better for everyone? Today, our team of passionate experts is transforming how people shop and how retailers operate - one store at a time.
Our goal is to solve real retail challenges by developing advanced computer vision AI that prevents loss, enables grab-and-go shopping, and turns store data into valuable insights - all while delivering clear value from day one.
With multiple deployments in stores globally, deep partnerships with top-tier retailers, and a product suite thats proving its impact every day, our company is not just imagining the future of retail - were building it.
At our company, were building the in-store operating system of the future - powered by AI and real-world data. With dozens of autonomous store and Loss Prevention deployments (and hundreds more coming), we are generating a massive volume of operational data. Now its time to turn that data into strategic value - for our team and our customers.
We are looking for a motivated Assistant Controller to join our Finance team for a 7-month maternity leave replacement, starting in March. There is an Option for a part-time position.
This role offers an excellent opportunity to gain hands-on exposure to a well-structured Finance department within a fast-growing and dynamic startup, working closely with international subsidiaries. While this is a fixed-term role, it offers strong professional exposure, learning opportunities, and a meaningful addition to the candidates career path.
Key Responsibilities
Take a significant role in the monthly and quarterly close processes, including work with international subsidiaries.
Assist in the preparation of consolidated financial statements in accordance with US GAAP.
Hands-on involvement in regulatory and statutory reporting for each legal entity in the group.
Participate in tax reporting and compliance.
Work closely with professional advisors and external auditors.
Learning best practices in a scaling startup environment
Ensure quality control over financial transactions and financial reporting.
Research and analyze complex accounting issues and assist with the implementation of new accounting standards.
Participate in process improvements and implementation of new systems
Assist in the development, implementation, and maintenance of accounting policies, internal controls, and regulatory compliance.

Who We Are Incredibuild empowers developers to radically accelerate their work by shortening build times, enabling more iterations, and speeding up product releases. Thousands of customers - including world-leading brands - rely on our platform to streamline and accelerate everything from compilation to release automation, resulting in major resource savings and faster time-to-market. We’ve helped over 200,000 developers at companies like Microsoft, Samsung, Nintendo, Amazon, and many others build some of the world’s most impactful software across gaming, financial services, embedded systems, and more. What You’ll Do As a RevOps Manager, you will serve as the operational backbone of our Go-to-Market (GTM) engine during a critical growth phase. This role is hands-on, fast-paced, and highly impactful - combining analytics, GTM engineering, process ownership, and cross-functional collaboration to ensure revenue accuracy and operational excellence. You will partner closely with Sales, Customer Success, Finance, and Business Applications to translate business needs into scalable solutions and drive continuous improvement across the organization. Your responsibilities will include: Revenue Operations & Business Analytics
* Define KPIs, build complex models (Excel/ PowerBI), and deliver insights that explain why numbers change - not just what changed.

* Own end-to-end ARR processes: reconciliation, revenue accuracy, trend analysis, and forecasting.

* Manage sales compensation operations: design plans, validate payouts, resolve sales queries, and ensure compensation drives the right behaviors.

* Maintain strong data governance, proactively identifying data issues and implementing systemic, long-term fixes (validation rules, automations, processes).
Business Applications Partnership & UAT
* Act as the primary gatekeeper for business requests, validating logic, scope, and business value.

* Translate business needs into clear technical requirements, documentation, and process diagrams.

* Provide healthy pushback by challenging assumptions and ensuring solutions address root causes rather than applying band-aids.

* Own the business-side release cycle : UAT planning, sandbox testing, validation, and post-release refinement.

* Serve as an operational shield , triaging and resolving Tier-1 workflow and data issues.
GTM Engineering, AI & Automation Strategy
* Lead AI-driven GTM automation initiatives

* Define automation logic (“if-this-then-that” workflows) and prototype lightweight automations before full implementation.

* Eliminate manual work, reduce operational bottlenecks, and improve revenue scalability.