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We are seeking an exceptional software engineer with the imagination to challenge existing designs and the discipline to implement those ideas in production-quality systems.
This role requires a passion for software development, strong system design skills, and deep expertise in coding and debugging. The ideal candidate is also a natural mentor, capable of guiding and developing junior engineers.
This position is for a Principal Software Engineer with extensive experience in databases and systems algorithms for distributed data platforms (databases, replication, HA, data-traversal, deduplication), who can lead the design and implementation of large, complex initiatives end to end.

we are seeking an experienced and strategic Vice President of Program & Release Management to lead the end-to-end lifecycle of complex programs and software releases across our networking portfolio. This executive will drive cross-functional execution across Product, Engineering, and Quality to ensure high-quality delivery to global customers and partners.
The VP will play a critical leadership role in the R&D management team, scaling program and release governance in a fast-growing, globally distributed environment. This includes orchestrating large-scale software releases and aligning platform evolution with customer commitments.
Key Responsibilities:
Strategic Program Leadership
Lead large-scale programs spanning a 300+ engineering organization across multiple products, platforms, and technologies.
Translate business and product strategy into executable multi-quarter roadmaps.
Define development processes to support scale and quality.
Establish metrics and reporting frameworks to provide transparency and risk insights to the team.
Release Management & Execution
Own the release lifecycle from planning through all execution phases to customer go-to-market readiness.
Ensure structured coordination of software and hardware releases across Engineering, QA, and delivery teams.
Integrate AI-based tooling and analytics (release forecasting, risk detection, automation, quarter planning readiness, customer trends) to drive release excellence.
Cross-Functional Management
Partner with Product, Engineering, and Customer Support to align priorities and remove blockers.
Manage dependencies and trade-offs across diverse stakeholder groups.
Team Leadership
Build, mentor, and scale a high-performing Program & Release Management organization.
Promote a culture of continuous improvement and innovation.

We are looking for a Project & Product Manager to join our team and lead end-to-end implementation, configuration, specification, and development projects for retail and ERP systems, with an emphasis on Odoo, for customers across fashion retail, supermarkets, fuel stations, and general retail.

This role combines end-to-end project management, product and business-process specification, day-to-day work with customers and technology teams, and daily use of advanced AI tools, especially Claude, to speed up specification work, document writing, requirements analysis, and even support for development, integrations, and customizations.

Your key responsibilities will include:

Project Management
Manage end-to-end implementation projects at customer sites, from kickoff through Go-Live and post-launch support - work plans, timelines, prioritization, and resources.
Track progress, manage risks, identify blockers early, and drive solutions.
Manage customers, vendors, and development/implementation/support teams; lead status meetings and follow-up on decisions and tasks.
Report ongoing status to management and customers: progress, risks, gaps, and action plans.

Product & Business Process Specification
Lead specification with customers: business needs, current-process mapping, and future-process planning.
Write BRDs, PRDs, user stories, process docs, and functional specs, translating complex requirements into clear, actionable solutions that balance customer needs, system constraints, product, and dev capacity.
Specify loyalty processes (benefits, coupons, point accrual/redemption) and their impact on POS, ERP, promotions, and reporting.
Partner with development/implementation to ensure the built solution matches spec; support testing, UAT, customer validation, and Go-Live prep.

Working with Advanced AI Tools
Use Claude and other AI tools daily to draft documents, break down requirements, build user stories and work plans, and analyze processes.
Use Claude to support development of customer solutions - automations, integrations, reports, workflow and configuration changes.
Write strong prompts, validate outputs professionally, and use AI critically - as an accelerator, not a substitute for judgment.

We are looking for an MLOps Team Leadto drive the development of an internal machine learning platform for a group of ML teams. This is a hands-on leadership role: you will guide a small team of MLOps engineers that builds the automation and infrastructure powering our research (R&D) workflows and runs our pipelines to production. You will take ownership of end-to-end initiatives and drive the team toward critical infrastructure and model-lifecycle milestones, while staying close enough to the code to set technical direction and raise the bar by example.

You will be responsible for building and maintaining the models and data pipelines behind our data science workflows, ensuring the accuracy, consistency, and efficiency of the data used for training and inference, working across structured and unstructured data from many sources on a large-scale, distributed platform.

WHAT YOU WILL DO

- Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality.

- Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production.

- Stay hands-on: contribute to design and code, review work, and set engineering standards.

- Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership.

- Partner with R&D and other stakeholders to translate research needs into robust, scalable systems.

- Help evolve the platform, including our ongoing migration from Dask to Ray.

We are seeking an Experienced Program Manager to lead end-to-end delivery processes for key customers and strategic value streams. The ideal candidate is highly organized, technically minded, analytical, and experienced in managing complex Agile programs across cross-functional, global teams.

This role requires a strong understanding of the software development lifecycle, excellent communication skills, and the ability to manage risks, improve processes, and ensure the timely, high-quality delivery of products.

Key Responsibilities:

Lead end-to-end delivery for key customers and value streams.
Own, plan, and track the full customer program lifecycle, from contract, upsell, and discovery stages through development and delivery.
Oversee the full Agile software development lifecycle and ensure each stage is executed effectively.
Collaborate closely with Product, Engineering, Account Management, and Global Sales teams to coordinate product delivery.
Facilitate weekly program meetings to review status, align priorities, manage risks, and ensure clear communication across stakeholders.
Manage cross-team dependencies, risks, and ongoing issues through mitigation and resolution.
Define, refine, and drive adoption of new processes and procedures based on continuous feedback and retrospectives.
Develop KPIs and performance indicators to track progress, delivery quality, and Agile adoption.
Requirements

We are looking for a strong technical leader to lead our Runtime team - one of the most critical backend teams. The Runtime team owns the execution layer of all our automations, the core of our product. The team operates at a significant scale, processing hundreds of millions of steps and millions of security events every day in systems that simply cannot break.

You will lead a strong team of five senior engineers and take ownership of both the people and the technology. This role combines team management with deep technical leadership: developing engineers, setting the technical vision, leading design and architecture decisions, and staying close enough to the code to step in when needed.

What Will You Do?
Lead, mentor, and develop a team of five experienced backend engineers.
Own the teams technical vision, priorities, execution, and long-term direction.
Lead the design and implementation of architectural changes that keep our platform reliable at massive scale.
Drive complex, cross-team projects and influence technical decisions beyond your immediate team.
Lead production incidents and post-mortems, and continuously raise the bar for reliability and operational excellence.
Identify risks and problems before they impact production, and build the processes and infrastructure needed to prevent them.
Stay close to the technology through design discussions, code reviews, debugging, and hands-on contribution when needed.
Use data to understand how customers interact with the platform and turn emerging use cases into new product capabilities.
Help lead significant technical initiatives, including the evolution from GCP toward a Multi-Cloud architecture.
Work with modern AI tools such as Cursor and Claude Code as a core part of the development workflow, while maintaining deep technical understanding and high-quality standards.

We are looking for a strong technical leader to lead one of our product-focused R&D teams at Torq.

This team owns meaningful product capabilities used across the Torq platform and works closely with Product, Design, and other engineering teams. The role combines people management, technical leadership, and strong product thinking - from understanding customer needs and shaping solutions to delivering high-quality features in production.

You will lead a team of experienced engineers, develop their skills, set clear priorities, and create an environment of ownership, collaboration, and continuous improvement. At the same time, youll stay close to the technology, lead design decisions, and step into the code when needed.

What Will You Do?
Lead, mentor, and develop a team of engineers.
Own the teams execution, priorities, and long-term direction.
Work closely with Product and Design to turn customer needs into simple, scalable solutions.
Lead features and projects from early definition and design through production.
Drive technical design and architecture decisions while balancing product needs, quality, and delivery.
Stay close to the technology through design discussions, code reviews, debugging, and hands-on contribution when needed.
Build strong collaboration with other teams and lead cross-team initiatives.
Create clear processes and ownership as the team and its scope continue to grow.
Take part in hiring and help shape the teams professional standards and culture.
Use modern AI tools such as Cursor and Claude Code as part of the development workflow while maintaining high-quality engineering standards.

Were looking for an experienced Full Stack Team Leader to lead the engineering team behind our Customer Portal-the central platform used by every customer across all of our products. This role reports directly to the VP R&D and combines technical leadership with product ownership, cross-functional collaboration, and execution.

As the engineering leader of the Customer Portal, youll shape one of the companys most strategic products, ensuring customers enjoy a seamless experience throughout their entire journey with us. Youll lead a talented team, drive technical excellence, champion AI adoption, and collaborate closely with stakeholders across Product, Marketing, Customer Success, Support, Sales, and Design to deliver customer-facing capabilities with direct business impact.

Were looking for someone who doesnt wait for direction. You naturally identify opportunities, challenge the status quo, and drive initiatives from idea to execution. You inspire your team through technical leadership, raise the engineering bar, and continuously look for better ways to build products and develop people.

What Youll Do
Lead, mentor, and grow a team of Full Stack Engineers, fostering a culture of ownership, accountability, innovation, and continuous improvement.
Own the technical execution and delivery of the Customer Portal roadmap, serving customers across all our products.
Partner closely with Product Management and business stakeholders to translate strategic objectives into scalable technical solutions.
Collaborate daily with Product, Marketing, Customer Success, Support, Sales, and Design to deliver an outstanding customer experience.
Lead architectural decisions, ensuring the platform remains scalable, secure, maintainable, and ready for future growth.
Drive engineering excellence by establishing high standards for code quality, testing, observability, performance, reliability, and operational excellence.
Champion AI-first engineering practices by driving adoption of AI tools and workflows that improve developer productivity, code quality, and delivery velocity.
Proactively identify opportunities to improve the product, engineering processes, and team effectiveness. Bring ideas, challenge existing approaches, and lead meaningful technical and organizational improvements.
Lead planning, prioritization, estimation, and execution while balancing business priorities with technical investments.
Remove blockers, manage technical risks, and create an environment where the team can consistently deliver high-quality outcomes.
Stay hands-on when needed, contributing to architecture, design, code reviews, and implementation of complex features.

Required Algorithm Team Lead
Join our innovative team, where you will lead a talented Deep Learning R&D team developing advanced neural networks that are essential for our key products.
In this role, you will lead a team responsible for developing real-time vision models that power the vehicles understanding of its environment. The team combines research, hands-on development, model training, data analysis, optimization, and product-grade delivery for autonomous driving technologies and advanced driver-assistance systems.
As a Deep Learning R&D Team Lead, you will be responsible for both the technical and managerial leadership of the team. You will guide the full development cycle of deep learning solutions - from understanding the problem and data, through modeling and training, to performance improvement, validation, and delivery into production systems.
What will your job look like?
Lead a small and highly capable Deep Learning R&D team working on real-time computer vision models for our products.
Provide technical leadership across the full deep learning development cycle, including data understanding, model design, training, evaluation, optimization, and production readiness.
Drive goal-oriented research and development, balancing innovation with practical product needs, timelines, and delivery quality.
Mentor, support, and develop team members, while creating a strong professional environment that encourages ownership, creativity, and continuous improvement.
Break down complex and ambiguous problems into clear work plans, priorities, milestones, and execution steps.
Collaborate closely with cross-functional teams to understand requirements, align expectations, and deliver effective solutions.
Improve existing models and development flows to enhance accuracy, robustness, runtime performance, scalability, and product impact.
Stay up to date with the latest advancements in deep learning, computer vision, AI architectures, and AI-based development tools, and apply relevant ideas to improve the teams work.

We're looking for the person who owns our relationship with the programmatic ecosystem. You'll open new supply, negotiate the terms we trade under, run strategic technical partnerships with the biggest exchanges, decide which vendors are worth integrating with, and set the risk and compliance posture that lets our growth teams move fast without blowing up.

This is a hybrid seat: half commercial (deals, partnerships, vendor strategy), half technical leadership (integrations, compliance systems, ad quality, supply quality). You'll report to the CTO and you'll build out the programmatic team.

If you've spent years as a senior programmatic operator at a DSP, exchange, or large advertiser, and you want a seat where the levers are real and the decisions stick, this is it.


What Youll Do:
Your main KPI is to grow our programmatic annual spend by hundreds of millions. Concretely, that means:
Scale our foothold in the ecosystem. Open new exchanges and SSPs, negotiate commercial terms and rebates with supply partners. Work with existing exchanges like Google and AppLovin on strategic technical joint ventures that go beyond "we're a buyer on your platform."
Find opportunities in our bidding. Work with Engineering and Data Science to leverage signals in the RTB stream. Turn auction-level observations into action: supply paths worth consolidating, deal opportunities that only the bid data surfaces, margin and fee dynamics worth pushing on, and inventory pockets where we should bid more or less aggressively. Your judgment plus the data team's signal is the loop that drives spend up and effective CPMs down.
Own risk, compliance, and the guardrails that let the business move fast. Be the focal point of compliance knowledge inside us. Partner with Legal on matters like GDPR, CMPs, and our broader legal exposure. Work with partner compliance teams to align. Create and manage risk models and workflows that let growth and trading teams take bigger swings safely.
Research new fields in the AdTech stack. Scout adjacent categories worth playing in: data enrichment, identity solutions, measurement and attribution, contextual signals, clean rooms, curation, retail media, fraud and verification, AI signal providers.
Build and lead the programmatic team. Manage direct team members and cross-functional efforts. Propose and hire the next roles, coach the team, raise the bar.
Be the senior face of us in the programmatic ecosystem: exchange QBRs, partner escalations, conferences, and the calls that need a leader in the seat.

You will play a key role in ensuring our customers successfully deploy, integrate, and operate our platform. By leading complex technical integrations and solving challenging infrastructure problems, you'll directly impact customer success, platform reliability, and the delivery of critical healthcare data solutions.

What You'll Do
Own end-to-end integrations for large enterprise customers.
Work with modern cloud technologies across AWS, Azure, and GCP.
Solve unique technical challenges involving infrastructure, security, networking, and automation.
Collaborate closely with Engineering, Product, Customer Success, and customer technical teams.
Influence architecture, best practices, and the future direction of our deployment and integration processes.
Lead customer onboarding and technical integration projects from planning through production deployment.
Design, deploy, and troubleshoot cloud infrastructure using Infrastructure as Code (Terraform, Ansible, CloudFormation).
Implement and support Kubernetes, compute, networking, storage, and security configurations across multiple cloud providers.
Automate deployment, upgrade, and operational workflows to improve reliability and efficiency.
Investigate and resolve complex production issues, performing root cause analysis and driving permanent fixes.
Partner with customers and internal engineering teams to deliver scalable, secure, and highly available solutions.
Develop technical documentation, implementation guides, and operational runbooks.
Mentor engineers and contribute to improving engineering standards, tooling, and operational excellence.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of AI-powered vehicle inspection systems, combining computer vision, machine learning, and generative AI.
With over $380M in funding and strategic partnerships with Toyota, Amazon, General Motors, JLR, Volvo, and Hertz, our technology is deployed across manufacturing plants, dealerships, wholesale auctions, fleets, and seaports worldwide. Named one of Fast Company's Most Innovative Companies of 2026, our 300+ global employees are solutions-oriented, accountable, and driven by one shared goal: making roads safer for everyone.
We are looking for an experienced Data Engineering Team Leader In this role, you will lead and strengthen our Data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
?A day in the life and how you’ll make an impact:
* Drive the technical strategy and roadmap for the data engineering function, ensuring alignment with overall business objectives.
* Own the design, development, and evolution of scalable, high-performance data pipelines to enable diverse and growing business needs.
* Establish and enforce a strong data governance framework, including comprehensive data quality standards, monitoring, and security protocols, taking full accountability for data integrity and reliability.
* Lead the continuous enhancement and optimization of the data analytics platform and infrastructure, focusing on performance, scalability, and cost efficiency.
* Champion the complete data lifecycle, from robust infrastructure and data ingestion to detailed analysis and automated reporting, to maximize the strategic value of data and drive business growth.

Req ID: 20153

As a Machine Learning Engineering Manager, you will lead a team focused on the foundational ML & Data layers to power the ranking & recommendation systems in scope. You will drive the development of robust data & ML pipelines at scale, lead the implementation of the tools for ML scientists to test and productionize advanced ML RecSys solutions.

As a technical manager of Machine Learning Engineers and Data engineers, you should be passionate about technology, keep up to date with recent breakthroughs in the field, define and shape the teams ML and platforms roadmap, and not be afraid to get your hands dirty with code when needed.

You are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products. You will work independently and will also be responsible for making technical decisions within your team.

Key Job Responsibilities and Duties:

Lead and develop a high-performing team, fostering individual growth and collaboration.

Manage and mentor ML engineers and Data engineers, ensuring their professional development and effectiveness.

Develop scalable ML infrastructure and pipelines for efficient data processing and evaluations deployment.

Evaluate architecture solutions based on cost, business needs, and emerging technologies.

Collaborate closely with software engineers to ensure seamless deployment and model inference.

Monitor application health, set and track relevant metrics, and implement effective maintenance strategies.

Collaborate with stakeholders to translate business requirements into viable ML solutions.

Evaluate and integrate new ML technologies to enhance productivity and performance.

Drive continuous improvement through model retraining, performance monitoring, and optimization.

Develop robust ML and AI solutions that meet business objectives while considering production constraints.