We are launching a strategic pool of AI specialists to accelerate the growth of our AI Practice and turn strong market demand into scalable, repeatable capabilities. This role goes beyond project delivery-it is about shaping how AI is built, shared, and scaled across the company.

As part of this group, you will play a key role in internal capability development, with a strong focus on designing and evolving AI Accelerators-reusable frameworks, templates, and reference architectures covering GenAI, LLM-based solutions, ML pipelines, and cloud-native AI systems. These accelerators will become the backbone of our AI offerings, enabling faster delivery, higher quality, and consistent technical standards across projects.

A second core dimension of the role is knowledge leadership. Strategic hires will actively contribute to internal knowledge-sharing initiatives: technical deep dives, hands-on workshops, demos, and best-practice sessions covering topics such as GenAI orchestration, RAG, model deployment, prompt and system design, observability, and cost-efficient AI architectures. You will help raise the overall AI maturity of the organization while mentoring engineers and influencing technical direction. In addition, members of this group will act as AI project jumpstarters, joining new client engagements for up to 50% allocation over 1-2 months. In this capacity, you will help define solution architectures, validate technical approaches, build initial prototypes, and set strong engineering foundations before teams scale. This gives you exposure to diverse domains and cutting-edge AI use cases while maximizing your impact across multiple initiatives.

Project Description

We are looking for a highly skilled and innovative Machine Learning Engineer to develop and expand our Generative AI and Computer Vision capabilities. This role involves accelerating Technical Sales Support, Architecture and PoC development.

Technologies

• Python
• Git, CI/CD practices for ML and data pipelines
• AWS and/or Azure
• PyTorch, TensorFlow
• MLflow
• LLMs and NLP tasks
• Generative AI concepts
• LangChain/LangGraph, LlamaIndex
• Qdrant, Pinecone, Weaviate, FAISS or similar
• RNNs, Transformers
• Dataset labeling, annotation tools (e.g., Label Studio, CVAT)
• Prometheus, Grafana, DataDog, OpenTelemetry
• YOLO, SDD
• Segmentation models
• Image Classification

What You'll Do

• Lead the design, development, and deployment of scalable ML services;
• Architect and implement AI/ML solutions, ensuring model quality, governance, and security;
• Optimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP);
• Collaborate with data scientists, analysts, and business stakeholders to understand ML requirements;
• Mentor and guide junior engineers, promoting best practices in ML engineering;
• Develop and maintain documentation, ML models, and technical standards;
• Monitor, troubleshoot, and resolve issues in production for ML pipelines and environments;
• Stay up-to-date with emerging trends and technologies in AI/ML field;

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
• 5+ years of experience in ML engineering, with at least 1 years of hands-on experience with LLMs;
• Strong proficiency in Python;
• Experience with cloud data platforms (AWS and/or Azure);
• Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for ML engineering;
• Experience with data governance, security, and compliance in cloud environments;
• Excellent problem-solving, communication, and leadership skills;
• English: Upper Intermediate level or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

About the role

We are seeking a Machine Learning Engineer with expertise in classical Computer Vision and Deep Learning to contribute to the development of advanced computer vision algorithms focused on item authentication and fingerprinting.

In this role, you will drive the research, development, and deployment of state-of-the-art algorithms and models aimed at accurately determining the authenticity of items and assigning unique digital identities through image analysis. You will also oversee the optimisation of image capture solutions on edge devices and ensure models are interpretable, scalable, and robust.

As a senior team member, you will collaborate cross-functionally to define and deliver impactful projects and contribute to thought leadership in the computer vision domain.

Reports to: ML Manager
Location: Remote: Austria, Bulgaria, Ukraine, Hungary & Romania

What You'll Do:

Leadership & Strategy

• Define the technical roadmap for computer vision projects, aligning with business goals and customer needs.
• Mentor and provide technical guidance to junior engineers, fostering a culture of collaboration, innovation, and excellence.

Advanced Research & Algorithm Development

• Design and develop cutting-edge computer vision models and algorithms for item authentication, fingerprinting, high-quality image capture and related applications.
• Lead innovation by staying ahead of trends in computer vision and machine learning, introducing novel techniques to improve model performance and scalability.

Scalable Systems & Model Deployment

• Oversee the deployment of machine learning models in production, ensuring robustness, efficiency, and seamless integration into systems.
• Optimise algorithms for edge device deployment, focusing on latency, accuracy, and power consumption.

Collaboration & Stakeholder Engagement

• Work closely with internal and external stakeholders to understand product requirements, define project scopes, and deliver actionable solutions.
• Collaborate with engineering teams to integrate CV models into broader system architectures while maintaining system reliability and performance.

Operational Excellence

• Drive best practices in code quality, testing, and documentation. Review and refine code, ensuring modularity, reliability, and adherence to industry standards.
• Analyse production data to identify opportunities for continuous improvement in algorithms and systems.

Who you are:

• Education: Bachelor's or Master’s in Electronics, Physics, Computer Science, or related field.
• Experience: 3-6 years in computer vision and machine learning development.
• Core Expertise:
  • • Proficient in both traditional CV techniques (feature extraction, image processing) and deep learning methodologies.
    • Advanced knowledge of Python and C++, with expertise in frameworks such as PyTorch, HuggingFace, OpenCV, and CUDA.
    • Extensive experience in designing, training, and deploying CV models at scale, including distributed training and inference pipelines.
    • Expertise in API design and deployment for ML model services such as FastAPI, TensorRT, Nvidia Triton, and Ray.
• Mathematical Proficiency: Strong foundation in probability, statistics, optimisation, linear algebra, and geometry.
• EdgeML Experience: Skilled in deploying and optimising models for iOS devices, with a focus on real-time data processing and resource efficiency.
• Collaboration & Communication: Ability to articulate technical concepts and collaborate in cross-functional, global teams.
• Ownership & Drive: A proactive approach, a high degree of ownership, and an eagerness to tackle complex challenges.

What we offer

• Market-competitive and pay equity-focused compensation structure
• Generous time away, including company holidays, paid time off, sick time, parental leave, and more!
• The agency to innovate, directly impacting product features and customer experiences.
• Opportunity to be part of the core team in a growing setup.
• Opportunities to publish research, contribute to patents, and further develop CVML and edgeML expertise.

We have had an incredible run so far and are laying the foundation for a culture that is fast-paced, entrepreneurial, and rooted in passion, kindness, and positivity. We live by these values – we hire by them, promote them, and celebrate them every day. 

If you are a visionary Computer Vision / ML engineer with extensive experience in crafting production-ready solutions, a passion for mentoring, and a desire to solve impactful challenges, we’d love to connect!

Company Background

Our client is a global leader in access solutions and smart home technologies. With over a decade of innovation in the IoT space, the company is a pioneer in connected home solutions, including garage door openers, gate systems, and smart access management tools. One of their flagship innovations is the platform, which allows users to control and monitor their home access systems through connected devices. The current focus is a mobile app designed to support and manage gated communities.

Project Description

AI platform is a modern, cloud-native, and device-integrated system supporting advanced computer vision, generative AI, and smart automation for access control and security. The platform is continuously evolving, with a strong focus on validation, automation, and scalability to support millions of IoT devices and next-generation smart home features.

Technologies

• Python
• FastAPI
• AWS
• Docker
• Kubernetes
• CI/CD
• LLM / Generative AI
• vLLM
• Kafka / RabbitMQ

What You'll Do

• Design and implement a rules engine platform as part of the AI microservices ecosystem;
• Collaborate with AI/ML engineers to integrate business logic and rule-based decisioning into the platform;
• Develop robust, maintainable, and scalable Python microservices;
• Ensure high code quality, test coverage, and adherence to best practices (PEP 8, code reviews, CI/CD);
• Work with containerization (Docker) and orchestration (Kubernetes) for deployment.

Job Requirements

• 4+ years of experience with Python;
• Experience building rules engines or similar business logic platforms;
• Experience with FastAPI or similar frameworks;
• Experience with Docker, Kubernetes, and CI/CD pipelines;
• Experience working with AWS (EKS, SQS, S3, EC2, MSK);
• Strong software engineering fundamentals and clean code practices;
• Basic experience with LLMs and tools like vLLM;
• Strong communication skills;
• English proficiency at B2 level or higher;

Nice to Have:

• Background in AI/ML platforms or agent frameworks;
• Familiarity with messaging systems (RabbitMQ, Kafka);
• Understanding of concurrent programming;
• Exposure to Amazon Bedrock;
• Familiarity with observability tools (OpenTelemetry, DataDog);

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

This is an onsite role based at Nextiva’s Guadalajara office (Calle Amado Nervo 2200, Jardínes del Sol, 45050 Zapopan, Jal.) Working together onsite strengthens how we operate, enabling faster decisions, clearer communication, and stronger execution, so you can make a greater impact and move work forward with speed and clarity. 

In-Office Expectation: This role is expected to work onsite five days per week, supporting a highly collaborative, in-person team environment. 

The Onboarding Implementation Specialist is an entry-level role responsible for supporting new customers through the initial onboarding and setup of their Nextiva products and services. Through structured training and defined processes, this role gathers required customer information, configures services, and ensures installations are completed accurately and on time.

This position focuses on executing standardized onboarding workflows, meeting SLAs, and delivering a high-quality customer experience. The Implementation Specialist partners with customers during setup, troubleshoots common configuration issues, and escalates complex concerns when needed to ensure a seamless transition to Nextiva.

Key Responsibilities

• Collect and validate required onboarding information including network details, users, devices, call flows, and authorized contacts.
• Follow defined onboarding workflows and meet established SLAs.
• Configure telephone extensions, services, features, and activate equipment.
• Assist customers with number porting from previous carriers.
• Respond to inbound calls, emails, and cases to resolve setup-related questions.
• Troubleshoot common configuration and installation issues.
• Identify out-of-procedure or incomplete information and take corrective action.
• Manage partner or customer escalations pre and post onboarding for any account.
• Escalate complex technical or process issues appropriately.
• Maintain accurate documentation and case management within internal systems.
• Meet or exceed defined productivity and quality metrics.

Qualifications

• 1+ year of customer service experience, project administration, preferably in telecommunications, SaaS, or cloud-based environments.
• Strong verbal and written communication skills.
• Ability to follow structured processes and meet deadlines in a fast-paced environment.
• Basic understanding of VoIP or Unified Communications technologies preferred.
• Strong troubleshooting and problem-solving skills.
• High attention to detail and strong organizational skills.
• Comfortable communicating via phone, email, and chat.
• Proficient with Microsoft Office and general computer systems.
• Ability to manage a high case volume while maintaining quality standards.
• Team-oriented with a positive and professional attitude.

Nextiva DNA (Core Competencies)

Nextiva’s most successful team members share common traits and behaviors:

• Drives Results: Action-oriented problem solvers who quickly bring clarity and simplicity to ambiguity, challenge the status quo, and lead meaningful change; celebrating wins to fuel momentum. They act swiftly and pragmatically, learning and improving as they go.
• Critical Thinker: Data-driven, forward-thinking individuals who identify key drivers, anticipate risks, and deliver clear recommendations. They confidently leverage AI and automation to reduce friction, improve decision-making, and focus on higher-value work.
• Right Attitude: Collaborative, competitive, and resilient team players who jump in to solve tough problems, learn from setbacks, and foster a culture of service, respect, and care for customers and teammates.

Total Rewards

Our Total Rewards offerings are designed to allow Nexties to take care of themselves and their families so they can be their best, in and out of the office.

Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary, hourly wages, incentives, or bonuses.

• Health 🍏- Major Health insurance for you, your legal partner, and children under 25 years, including Vision and Dental coverage
• Insurance 💼- Life Insurance (24 times your monthly salary)
• Work-Life Balance ⚖️ - Newly hired full-time employees at Nextiva receive 10 personal days before their first anniversary, 12 vacation days on their first anniversary, and 5 personal days annually thereafter in addition to vacation time
• Financial Security 💰- Enjoy a 30-day Christmas bonus, 50% vacation premium, company-matched food vouchers (1 UMA/month), and a 13% matched savings fund (capped at 1.3x annual UMA)
• Wellness 🤸‍- Employee Assistance Program and comprehensive wellness initiatives
• Growth 🌱- Access to ongoing learning and development opportunities and career advancement

At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career!

#LI-AL1  #LI-Onsite

Role Description

As a Staff Full Stack Software Engineer on the Churn and International Growth team, you will work across large scale projects with a focus on reliability, performance, and 0 -> 1 execution in new international markets. You will support our push toward AI enabled products by contributing to a modern stack for rapid prototyping and dependable deployment. You will set the technical vision, lead full stack development, and help define a unified architecture for cancellation and internationalization flows.

You will partner closely with product, data science, design, and engineering leaders across the business to deliver software that drives customer and business value. This role will oversee a high impact portfolio focused on reducing churn and accelerating global growth, including our Churn Prevention Engine and a range of early churn, down sell, and cancellation optimizations.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• Translate business requirements into clear, scalable technical solutions.
• Strengthen team collaboration through code reviews, knowledge sharing, and mentoring.
• Define and execute a multi year, multi team technical strategy with measurable impact.
• Align technical solutions with business goals in partnership with cross functional teams.
• Lead by example through high quality code, thoughtful reviews, and hands on mentorship.
• Drive product innovation by balancing user needs, technical rigor, and business outcomes.

On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experience for our customers.

Requirements

• 12+ years of experience as a backend or full stack engineer with a track record of delivering scalable, reliable systems.
• BS in Computer Science or a related field, or equivalent experience.
• Strong expertise in backend technologies such as Golang and Python.
• Strong expertise in frontend frameworks such as React.
• Exceptional problem solving skills and the ability to turn user needs into effective technical solutions.
• Solid understanding of best practices for building high performance, reliable, scalable services.
• Excellent communication skills with the ability to collaborate across functions and present concepts clearly to both technical and non-technical stakeholders.

A Career with Point72’s Infrastructure Technology Team

As Point72 continues to reimagine the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting and discovering new ways to provide exceptional end user experience while embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our team while satisfying your own intellectual curiosity.

Our Technology Infrastructure Team engineers and operates the foundational technology platforms that power all of Point72’s applications and businesses. Our disciplines span a broad array of technologies from datacenter infrastructure to large scale cloud services, with the shared goal of providing the most reliable, performant, modern technology platforms to improve time-to-market for our business. We also deliver end-user technology solutions to support the evolving collaboration and productivity needs of our global teams. Our team focuses on innovation and challenging the current state of our infrastructure technology in a fast-paced, dynamic, and collaborative working environment.

What you’ll do

An IT Operations Engineer at Point72 provides a range of services essential for the efficient operation of a client focused technology service model. Our ideal candidate will have demonstrated the ability to provide outstanding customer service and support, as well as the ability to work independently or as part of a global team. They will be energetic and enthusiastic, with an ability to quickly diagnose and resolve issues, provide clear guidance, and offer advice with patience and empathy.  Our engineers deliver best in class customer service while managing and prioritizing their workload. The ideal candidate will show the eagerness to learn the latest technology while also possessing the aptitude to learn new skills and technology concepts.  They will further demonstrate proficiency in voice, mobile technology, Microsoft Windows/Apple Macbook based systems, as well as the Microsoft Office suite of tools.

• Provide hands on technical support and insightful advice to clients which includes Enterprise experience working with Apple MacBooks and JAMF.
• Focus on providing clients with best-in-class support experiences
• Acknowledge and address all client queries, requirements and needs with patience and empathy
• Provide guidance and training to clients on current technology and corporate policies
• Educate clients on new technologies and processes to enhance technology adoption
• Promote client empowerment through the use self-service portals
• Manage client expectations to enhance the overall technology experience
• Establish and maintain service level relationships with local and off-site technology service providers
• Develop written project plans to manage small and large-scale projects
• Quickly diagnose and resolve technology issues
• Provide clients with training and advice on Point72 related technologies and transformations.
• Perform moves, adds and changes as needed
• Utilize Jira Service Management to document and track all Incidents, Problems and Requests
• Provide written documentation, updates, and root cause analysis on IT issues to management as required.
• Create knowledge-based articles for newly discovered issues.
• Perform daily AM and PM system checks as per documented procedures
• Create and distribute status reports

What’s required

You will work within a team environment to provide best-in-class technology services to clients across the Firm. The team provides a full range of IT related services, including PCs, laptops, video conferencing solutions, software, and mobile devices.  You should be inquisitive and have a desire to test your limits with new technologies.  You should also possess the following attributes:

• Minimum 4 years of experience in client service, desktop support or technical support role
• Bachelor’s degree from an accredited institution with a concentration in Technology, Computer Science, or related discipline
• Previous experience supporting investment professionals in the financial industry
• Knowledge of market data and electronic trading platforms such as Bloomberg, Neovest, etc.
• Scripting and automation using tools such as PowerShell, Splunk, etc.
• Ability to troubleshoot and remediate complex issues across the entire Firm, provide Root Cause Analyses (RCA) and make recommendations to mitigate future risk
• Ability to provide best in class customer service and technology support
• Ability to identify issues that need urgent attention, depending on your knowledge of the business impact of the issue
• Ability to maintain composure and focus in a fast paced, high-pressure environment
• Ability to work independently, while engaging and supporting the global technology team
• Commitment to the highest ethical standards.

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Sports card
• Private life insurance
• Private medical and dental care, with vision allowance
• Private pension scheme
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBT+ community
• Business travel accident insurance
• Employee assistance program
• Educational assistance reimbursement

About Point72

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here.

What You’ll Do:

We’re looking for a Senior Storage Engineer, Control Plane to play a key role in designing, building, and operating the control plane for our high-performance AI storage platform. You’ll help evolve CoreWeave’s storage systems by building reliable, scalable, and high-throughput solutions that power some of the largest and innovative AI workloads in the world. This role involves close collaboration with teams across infrastructure, compute, and platform to ensure our storage services scale automatically and seamlessly while maximizing performance and reliability.

About the role:

Design and implement a highly scalable multi-tenant control plane that supports CoreWeave’s growing AI storage and cloud infrastructure needs.

• Contribute to the development of exabyte-scale, S3-compatible object storage, distributed file system and integrate dedicated storage clusters into diverse customer environments.
• Work with technologies such as RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize storage performance and efficiency.
• Participate in efforts to improve the reliability, durability, and observability of our storage stack.
• Collaborate with operations teams to monitor, analyze, and optimize storage systems using telemetry, metrics, and dashboards to improve performance, latency, and resilience.
• Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.
• Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.

Who You Are: 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6–10 years of experience working in storage systems engineering or infrastructure.
• Strong hands-on experience with object storage or distributed filesystems in production environments.
• Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar.
• Proficiency in a systems programming language such as Go, C, or Rust.
• Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana).
• Solid understanding of cloud-native infrastructure, Kubernetes, and scalable system architecture.
• Strong debugging and problem-solving skills in distributed, high-performance environments.
• Clear communicator, able to work collaboratively across teams and share technical insights effectively.

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

The base salary range for this role is PLN 262,000 - PLN 350,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

Why this role matters

SDET (Software Development Engineers in Test) engineers perform and participate in application development and testing. We ensure continuous quality and testability of code throughout the software development lifecycle. We build quality within the software development process through automated testing suites, providing comprehensive support from code development to functionality. We live on the leading edge of system and component design, developing solutions that serve millions of users and businesses all over the world. 

The SDET Manager brings this to life by contributing to technology development and decision-making and guiding the work of SDET engineers and teams. This person will be coming in at a time of growth, not only within ‘a’ single team, but across Vonage API - therefore this person will need to be prepared and experienced to scale processes & teams.

What you'll do:

• Lead, mentor, and scale a high-performing team of SDETs to successfully deliver on ambitious product roadmaps on our Messaging API team
• Drive the development and execution of robust testing strategies for current and future product releases, ensuring comprehensive coverage of both functional and non-functional requirements.
• Treats AI assisted engineering as a core part of modern software practice, leveraging AI tools to enhance design, coding, testing, troubleshooting, and documentation, while guiding the team in adopting effective patterns and evolving best practices for AI enabled ways of working
• Collaborate closely with product and engineering teams to design, develop, and optimize advanced test automation frameworks and maintain scalable, reliable data sets.
• Establish, track, and analyze quality and effectiveness metrics to inform decision-making, support continuous improvement, and ensure the highest standards of software quality.
• Proactively diagnose technical issues, report defects, and propose implementable solutions to prevent recurrence and improve product stability.
• Contribute to and influence the development of long-term technical solutions and quality strategies for the wider engineering department.
• Foster a culture of quality by developing and promoting processes that educate and empower engineers at all levels to write higher quality, testable software.
• Assess, optimize, and elevate current testing procedures and processes for efficiency, scalability, and alignment with business needs.
• Define and communicate clear team success metrics, ensuring ongoing alignment with the engineering organization’s strategic vision.
• Work collaboratively with engineering teams and stakeholders to ensure testing requirements, features, and protocols are well understood, supported, and implemented.
• Partner with product and business managers to translate software requirements and technical architectures into actionable, measurable, and testable criteria.
• Drive the implementation of non-functional testing strategies—including scalability, redundancy, chaos engineering, and automation—in cloud and hybrid/cloud-native environments.

What you'll bring:

• Engineering leadership skills - experience leading a team of 10+ Engineers at least
• Advanced knowledge of Python programming language
• Comprehensive experience in developing and running a continuous integration and continuous deployment pipelines.
• Advanced knowledge of data structures, algorithms and distributed systems.
• Hands on experience with Docker or Kubernetes
• Outstanding interpersonal and communication skills.
• Bachelor’s Degree in Computer Science or related discipline, Masters would be advantageous
• Advanced understanding of and experience with writing, testing, debugging and perfecting code.
• Ability to:
• Navigate ambiguity.
• Present complex technical information in a clear and concise manner to a wide variety of audiences.
• Identify risks and threats in current and emerging technologies, procedures, features and operations.
• Manage multiple priorities with accuracy and efficiency while meeting deadlines.

Experience we consider a plus:

• Java, Springboot, Kotlin code experience
• WebRTC / Communication testing experience.
• Experience with CI/CD tools (Jenkins, GitHub Actions), Kafka, and Data Science frameworks.
• Experience with relational and NoSQL databases, and testing multi-tiered architectures.
• Familiarity with VoIP and Messaging protocols, real-time communication systems, and scalability testing.
• Identify and leverage opportunities to incorporate artificial intelligence and machine learning solutions to enhance testing effectiveness, automation, and product quality.

How you’ll benefit:

• Private Medical Insurance
• Group Pension Plan
• Life Insurance and Group Personal Accident
• Ericsson Care Line
• Unlimited Discretionary Time Off (DTO)
• Volunteer Time (VTO)

#LI-JB1

Why this role matters

SDET (Software Development Engineers in Test) engineers perform and participate in application development and testing. We ensure continuous quality and testability of code throughout the software development lifecycle. We build quality within the software development process through automated testing suites, providing comprehensive support from code development to functionality. We live on the leading edge of system and component design, developing solutions that serve millions of users and businesses all over the world. 

The SDET Manager brings this to life by contributing to technology development and decision-making and guiding the work of SDET engineers and teams. This person will be coming in at a time of growth, not only within ‘a’ single team, but across Vonage API - therefore this person will need to be prepared and experienced to scale processes & teams.

What you'll do:

• Lead, mentor, and scale a high-performing team of SDETs to successfully deliver on ambitious product roadmaps on our Messaging API team
• Drive the development and execution of robust testing strategies for current and future product releases, ensuring comprehensive coverage of both functional and non-functional requirements.
• Treats AI assisted engineering as a core part of modern software practice, leveraging AI tools to enhance design, coding, testing, troubleshooting, and documentation, while guiding the team in adopting effective patterns and evolving best practices for AI enabled ways of working
• Collaborate closely with product and engineering teams to design, develop, and optimize advanced test automation frameworks and maintain scalable, reliable data sets.
• Establish, track, and analyze quality and effectiveness metrics to inform decision-making, support continuous improvement, and ensure the highest standards of software quality.
• Proactively diagnose technical issues, report defects, and propose implementable solutions to prevent recurrence and improve product stability.
• Contribute to and influence the development of long-term technical solutions and quality strategies for the wider engineering department.
• Foster a culture of quality by developing and promoting processes that educate and empower engineers at all levels to write higher quality, testable software.
• Assess, optimize, and elevate current testing procedures and processes for efficiency, scalability, and alignment with business needs.
• Define and communicate clear team success metrics, ensuring ongoing alignment with the engineering organization’s strategic vision.
• Work collaboratively with engineering teams and stakeholders to ensure testing requirements, features, and protocols are well understood, supported, and implemented.
• Partner with product and business managers to translate software requirements and technical architectures into actionable, measurable, and testable criteria.
• Drive the implementation of non-functional testing strategies—including scalability, redundancy, chaos engineering, and automation—in cloud and hybrid/cloud-native environments.

What you'll bring:

• Engineering leadership skills - experience leading a team of 10+ Engineers at least
• Advanced knowledge of Python programming language
• Comprehensive experience in developing and running a continuous integration and continuous deployment pipelines.
• Advanced knowledge of data structures, algorithms and distributed systems.
• Hands on experience with Docker or Kubernetes
• Outstanding interpersonal and communication skills.
• Bachelor’s Degree in Computer Science or related discipline, Masters would be advantageous
• Advanced understanding of and experience with writing, testing, debugging and perfecting code.
• Ability to:
• Navigate ambiguity.
• Present complex technical information in a clear and concise manner to a wide variety of audiences.
• Identify risks and threats in current and emerging technologies, procedures, features and operations.
• Manage multiple priorities with accuracy and efficiency while meeting deadlines.

Experience we consider a plus:

• Java, Springboot, Kotlin code experience
• WebRTC / Communication testing experience.
• Experience with CI/CD tools (Jenkins, GitHub Actions), Kafka, and Data Science frameworks.
• Experience with relational and NoSQL databases, and testing multi-tiered architectures.
• Familiarity with VoIP and Messaging protocols, real-time communication systems, and scalability testing.
• Identify and leverage opportunities to incorporate artificial intelligence and machine learning solutions to enhance testing effectiveness, automation, and product quality.

How you’ll benefit:

• Private Medical Insurance
• Group Pension Plan
• Life Insurance and Group Personal Accident
• Ericsson Care Line
• Unlimited Discretionary Time Off (DTO)
• Volunteer Time (VTO)

#LI-JB1

How You'll Make an Impact:

Cloudbeds is looking for a Product Manager to own and evolve the core accounting and financial operations systems that power the Cloudbeds platform. This role sits at the intersection of hospitality operations and accounting, shaping how tens of thousands of properties worldwide handle folio transactions, record money movements, close their books, and integrate with downstream financial systems.

You will be responsible for defining the product vision and execution strategy for the financial backbone of Cloudbeds, ensuring accuracy, auditability, and scalability while supporting diverse operational workflows across regions, property types, and accounting practices.

This is a high-impact role working on mission-critical, high-trust systems used daily by hotel operators, finance teams, and integration partners.

Our Product Team:

Our team is energized by tackling complex problems and turning them into elegant and scalable solutions. We collaborate openly with deep respect for diverse perspectives, value candid feedback, and rely on strong async communication to move fast while staying aligned as a remote-first team. People who can create structure from ambiguity and push ideas forward with others do especially well here.

What You Bring to the Team:

• Own the strategy and lead the execution of our financial operations & accounting products within the Cloudbeds Platform
• Lead accounting integrations from end to end, with a focus on platform extensibility, clear documentation, and an excellent developer experience for partners and customers
• Drive user discovery to deeply understand workflows, constraints, and pain points
• Translate business and customer needs into concise and detailed product requirements
• Use data to validate hypotheses and to justify product decisions
• Define success metrics and track progress throughout the product life cycle
• Collaborate closely with engineering, design, and integration partners to deliver world-class products

What Sets You Up for Success:

• 5+ years of product management experience with SaaS products in finance, accounting, payments, or other high-trust systems
• 2+ years of experience collaborating with fully remote, international multi-disciplinary teams
• Solid understanding of accounting fundamentals
• Strong critical and analytical skills to solve real customer problems
• Ability to articulate complex concepts to cross-functional audiences
• Demonstrated ability to use AI thoughtfully as a force multiplier, while applying sound product judgement for final outputs
• Curiosity to learn new things and challenge the status quo
• Degree in Business, Finance, Accounting, Computer Science, or a related field

Bonus Skills to Stand Out (Optional):

• Prior experience in the hospitality or travel industry
• Knowledge of hospitality-specific accounting software ecosystems and integrations
• Experience building PMS, ERP, or accounting products
• Experience working with compliance, audit, or regional accounting requirements

#LI-SD1

About the role:

The Platform Reports team sits at the heart of our data ecosystem, with a mission to empower our customers with insights. We build and own the core platform that enables users to create custom reports and dashboards using the full breadth of their data. Internally, we act as a critical accelerator for all product teams, providing a unified integration point that makes their data instantly reportable. Our team owns the end-to-end report lifecycle—from fetching and transforming to visualizing—and we're pushing the boundaries of user experience with innovative features like our conversational AI report builder.

Samsara uses Golang for our backend, Typescript and React for our web client, GraphQL to fetch data from our backend, and React Native for our mobile app. Direct experience with these technologies is not required.

This is a remote position open to candidates in Poland. Relocation assistance will not be provided for this role.

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

In this role, you will: 

• Participate with senior leadership and cross-functional peers to develop a long-term roadmap and strategy for Samsara’s telematics feature sets
• Collaborate with senior engineers to drive technical strategy
• Set quarterly goals and balance product/engineering priorities for maximum impact
• Drive planning and execution on the roadmap, delivering features and infrastructure enhancements to delight customers
• Set a high-standard for the reliability of your components
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we expand and scale our mobile presence (more apps across more geographies)
• Hire, develop and lead an inclusive, engaged, and high-performing team

Minimum requirements for the role:

• Experience building scalable, mission-critical SaaS applications
• Experience operating, maintaining, and improving upon large scale application services
• Strong interpersonal communication skills (including listening, speaking, and writing) and ability to work well in a diverse, team-focused environment
• Strong track record of delivering products and features that customers love
• Proven record of attracting top-talent and coaching the team
• 8+ years of relevant software engineering work experience
• 3+ years of hands-on technical management experience
• You speak English proficiently

An ideal candidate also has:

• B.S. in Computer Science or related technical discipline
• Experience building data pipelines and/or data analytics products
• Exposure to query engine optimizations

About the role:

The Platform Reports team sits at the heart of our data ecosystem, with a mission to empower our customers with insights. We build and own the core platform that enables users to create custom reports and dashboards using the full breadth of their data. Internally, we act as a critical accelerator for all product teams, providing a unified integration point that makes their data instantly reportable. Our team owns the end-to-end report lifecycle—from fetching and transforming to visualizing—and we're pushing the boundaries of user experience with innovative features like our conversational AI report builder.

Samsara uses Golang for our backend, Typescript and React for our web client, GraphQL to fetch data from our backend, and React Native for our mobile app. Direct experience with these technologies is not required.

This is a remote position open to candidates in the United Kingdom. Relocation assistance will not be provided for this role.

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

In this role, you will: 

• Participate with senior leadership and cross-functional peers to develop a long-term roadmap and strategy for Samsara’s telematics feature sets
• Collaborate with senior engineers to drive technical strategy
• Set quarterly goals and balance product/engineering priorities for maximum impact
• Drive planning and execution on the roadmap, delivering features and infrastructure enhancements to delight customers
• Set a high-standard for the reliability of your components
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we expand and scale our mobile presence (more apps across more geographies)
• Hire, develop and lead an inclusive, engaged, and high-performing team

Minimum requirements for the role:

• Experience building scalable, mission-critical SaaS applications
• Experience operating, maintaining, and improving upon large scale application services
• Strong interpersonal communication skills (including listening, speaking, and writing) and ability to work well in a diverse, team-focused environment
• Strong track record of delivering products and features that customers love
• Proven record of attracting top-talent and coaching the team
• 8+ years of relevant software engineering work experience
• 3+ years of hands-on technical management experience
• You speak English proficiently

An ideal candidate also has:

• B.S. in Computer Science or related technical discipline
• Experience building data pipelines and/or data analytics products
• Exposure to query engine optimizations

Position: Senior QA Engineer
Location: 100% Remote in Poland
Type: This can be structured as a B2B contract or as an Employment Contract with full benefits.
Salary:  $75,000 - $95,000 + stock options

Focal Systems is the industry leader in retail AI solutions. We are headquartered in San Francisco, California with operations in Canada and the UK, and a tech-hub in Poland. We are a Deep Learning first company. Our mission is to automate and optimize brick and mortar retail using deep learning computer vision. Focal Systems has been deployed at scale with some of the top retailers in the world. 

We seek smart, creative and passionate people who want to help build a great and enduring company and deploy Deep Learning to the world!

What we’re looking for

We’re looking for a Senior QA Engineer who is curious, detail-oriented, and eager to build a career in quality engineering. You enjoy understanding how systems work, spotting issues others might miss, and learning how to improve product quality through testing and automation.
You’re a strong collaborator and communicator who enjoys working closely with engineers, product managers, and data teams. You’re motivated to learn modern QA tools and practices, especially around automation, APIs, and backend validation.

What you will do

You will support the team in ensuring the quality and reliability of our products across UI, APIs, and backend systems. You’ll gain hands-on experience with testing frameworks, automation tools, and data validation, while contributing to improving our overall quality standards.

Additionally, you will

• Support GUI / API testing and backend validation to ensure systems behave as expected
• Work closely with engineers to ensure quality coverage across frontend and backend features
• Identify bugs, document issues clearly, and support their resolution
• Continuously build your knowledge of QA best practices, tools, and automation strategies

Why Focal Systems
Strong Values and Mission - We are a tightly-knit team with an ambitious mission and a strong set of core values, which define our approach to business and have successfully guided us since inception.

Exceptional Team - We are a team of hard-working, fun-loving professionals from some of the most eminent universities, research labs, and tech companies of our time. We pride ourselves on recruiting exceptional individuals to help us redefine the state-of-the-art.

Outstanding Partners - We work with 10+ of the largest retailers in the world and have a world-class roster of investors, advisors and partners to support & advise us in our endeavors.

What we offer
We care deeply about the health, happiness, and wellbeing of all of our employees. We offer:

• Competitive Salary & Attractive Stock
• Paid Time Off 
• Team Retreats 

Note: Our pay bands are driven by market benchmarks in the target geography for hiring. Our posted ranges typically include multiple job levels. A candidate's level is determined by their performance throughout our talent acquisition process including technical screens, behavior interviews, presentations, work samples, and references. We will communicate transparently with the candidate at final stages regarding how we have leveled them, and what salary range that places them into. Placement within range is equally determined by education, general experience in your profession, specific experience in our domain, and your performance in the talent acquisition process. It is rare to receive an offer at the top of the range for a role.

Who we are

Moniepoint is an all-in-one financial services platform for emerging markets and the second-fastest-growing company in Africa.
Since 2019, Moniepoint’s technology has powered over 3 million people, offering personal and business banking, payment, credit, and business management tools to help them succeed. Moniepoint processed $182 billion in 2023 and currently processes most of the POS transactions in Nigeria.

About the role

As a Head of Engineering, you will play a pivotal role in overseeing the entire technical landscape of our engineering organization. You will guide and lead engineering managers and their teams while ensuring we are building scalable, secure, and innovative architectures. Working closely with business leaders and engineering managers (EMs), you will help align our technical vision with business goals and ensure a smooth pipeline from coding to deployment. The role is hands-on, requiring a mix of leadership, technical expertise, and operational excellence.

We are looking for someone who has a strong engineering background, leadership skills, and a passion for fostering collaboration and trust within teams. You will be accountable for setting technical standards, addressing technical debt, mentoring teams, and ensuring the scalability and security of the product's architecture. In addition, you will oversee team development, recruitment, and performance management to build high-performing teams capable of delivering results on time.

What you’ll get to do

• Contribute to and drive the company-wide technology strategy, ensuring the platform and broader business systems are prepared to scale reliably across markets, products, and growing transaction volumes.
• Own the technical strategy across the ecosystem, aligning architecture, infrastructure, and delivery with company goals for reliability, scalability, security, and regulatory compliance.
• Guide architectural and solution design decisions across teams, removing technical roadblocks for Engineers, and ensuring robust, future-proof system and software architecture.
• Build, lead, and scale multiple high-performing engineering teams, including managers and senior individual contributors.
• Strengthen team capacity and capability through proactive mentorship, structured career development, succession planning, and rigorous performance management.
• Drive hiring strategy and org design to support near-term and medium-term growth of the engineering organization.
• Establish and continuously improve end-to-end observability, monitoring, alerting, and incident management frameworks to support high system availability (targeting 99.9999%+ uptime).
• Improve software reliability across the platform by implementing strong operational excellence practices and incident response mechanisms.
• Set and uphold high standards for engineering excellence, including code quality, testing, QA automation, documentation, and CI/CD pipeline maturity.
• Proactively manage and reduce technical debt while leading company-wide initiatives to improve overall codebase health and maintainability.
• Improve methodologies and systems for tracking engineering metrics, system health, team performance, and developer productivity.
• Define, track, and optimize KPIs such as system performance, transaction success rates, infrastructure efficiency, cost optimization, and team velocity.
• Optimize cloud infrastructure usage and costs while maintaining performance, reliability, and security standards.
• Collaborate closely with Product, Compliance, Legal, Risk, Sales, Marketing, and Business stakeholders to ensure engineering delivery aligns with company priorities and regulatory requirements.
• Ensure systems are secure-by-design, with strong ownership of data privacy, fraud prevention, and regulatory readiness.
• Build and maintain long-term technical and architectural roadmaps to keep the platform ahead of industry and technology trends.
• Foster a high-trust, high-performance engineering culture grounded in accountability, autonomy, continuous learning, and operational excellence.
• Contribute to broader company-wide engineering initiatives across financial services and business tooling (e.g., Payment,  lending, savings, deposits, cards, and business management platforms) to elevate the overall engineering organization.

To succeed in this role, we think you should have

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 12-15 years of hands-on software development experience, including 5+ years of successfully leading multiple engineering teams and driving large-scale technical initiatives
• Significant prior experience as a Software Engineer, with a strong track record of designing scalable systems and operating in a software architecture capacity (approximately 60/40 technical and people leadership).
• Strong backend engineering expertise, with practical experience deploying production systems (e.g., using Spring Boot or similar modern backend frameworks); frontend exposure is a plus.
• Proven experience building and maintaining CI/CD pipelines, deployment systems, and managing technical debt at scale.
• Demonstrated ability to lead managers and multiple cross-functional teams simultaneously in complex, fast-paced environments.
• Prior experience managing distributed and remote teams across multiple geographies.
• Strong experience with agile methodologies, sprint planning, and efficient technical resource management.
• Proven track record of mentoring, performance management, and developing high-performing engineering teams.
• Demonstrated ability to drive alignment across engineering and non-technical stakeholders.
• Experience introducing engineering innovations that materially improve team productivity, delivery speed, and operational efficiency.
• Experience in fintech or regulated technology environments is a strong plus, especially in high-scale platforms.
• Exposure to emerging markets or a strong interest in solving problems related to financial inclusion and financial well-being is advantageous.

Cultural Alignment (Must-Have Soft Skills)

• High Agency & Ownership: A sense of urgency and 100% involvement; you seek out impactful problems and act without waiting for permission.
• Grit: The perseverance to see complex problems through to resolution, especially when challenges are difficult.
• Clarity of Thought: The ability to articulate complex concepts and technical decisions with precision and candour.
• Empathy: Strong empathy for the business, customers, and engineering team to ensure effective prioritization and decision-making.
• No Ego: Prioritizes team success and actively collaborates with others.

Some of the technologies you’ll get to work with

• Java (latest versions)
• Spring and Spring Boot
• Docker and Kubernetes
• PostgreSQL, DynamoDB, Elastic Search
• Microservices architecture on AWS

What we can offer you

• Culture -We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance,, Employee Stock Options, annual bonus, plus other benefits.

What to expect in the hiring process

• Stage 1: A preliminary phone call with one of our recruiters.
• Stage 2: System Design - You’ll be asked to solve complex system design problems to assess your technical and architectural skills.
• Stage 3: Technical Leadership & Architecture round - with two of our Heads of Engineering, dive deeper into technical challenges with advanced system design problems and assess your ability to lead others. 
• Stage 4: PM/Cultural Fit & Leadership - Explore your leadership qualities, cultural fit, and ability to drive technical teams while fostering a positive, inclusive environment.
• Stage 5: Founder Interview: 60 minute interview with our Co-founder/CTO

How to apply: Please send us your CV or LinkedIn profile via our career website.

Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

#LI-Remote

Job Type: Full-Time Experience Level: Senior (7+ years)

We are looking for an experienced Senior Python Developer who excels at designing and architecting large-scale systems. In this role, you will be responsible for leading the development of robust, high-performance software platforms from the ground up. You’ll define architecture, guide technical decision-making, and ensure that our systems are reliable, maintainable, and built for growth. While experience with AI and automation is a plus, your core strength will be scalable architecture, distributed systems, and engineering leadership. You’ll collaborate across teams to deliver systems that power critical business functions and enable innovation.

Essential Duties and Responsibilities:

• Architect, design, and implement large-scale, distributed systems using Python
• Build and maintain scalable, secure, and high-performance platforms
• Design data processing pipelines to handle large volumes of structured and unstructured data
• Collaborate with product and engineering teams to translate business needs into technical solutions
• Drive code quality, performance, and maintainability through reviews, standards, and mentorship
• Ensure solutions meet scalability, availability, and reliability requirements
• Integrate AI/ML components where appropriate to enhance system capabilities
• Stay current with modern architecture patterns, tools, and best practices.

What You’ll Bring

• Proven track record in architecting and delivering complex, high-scale systems
• Strong proficiency in Python for backend development
• Expertise in distributed systems, microservices architecture, and API design
• Experience with vector databases (e.g., ClickHouse)
• Proficiency with containerization (Docker) and orchestration (Kubernetes)
• Familiarity with data engineering concepts (ETL, batch, and streaming pipelines)
• Strong problem-solving skills and ability to make high-impact technical decisions
• Excellent communication and leadership skills

Experience and Qualifications Required:

• Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
• Proficient English.
• 7+ years of experience developing end-to-end scalable solutions using Python.
• Experience as a leader, managing and mentoring other engineers.
• Experience with vector databases

Experience with Kubernetes Preferred:

• Proven leadership in extracurricular activities or community involvement, showcasing the ability to take initiative and lead in diverse environments.
• Track record of exceptional personal achievements, such as awards, competitions, or ambitious self-driven projects, reflecting discipline and a high level of motivation.
• Published research or contributions to open-source projects.
• Experience with AI domains such as NLP, computer vision, or reinforcement learning.
• Experience with frameworks (TensorFlow, PyTorch, Scikit-learn)

We work 3 days at Kaseya Krakow office per week, which is mandatory.

What is Box? 

Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.

By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.

WHY BOX NEEDS YOU 

This role will specifically focus on building and scaling Workflow Platform that helps Box customers to build business critical workflows. This role is an opportunity to contribute to one of Box leading products, and take responsibility both for vision, and functional delivery its features. You’ll define product strategy and roadmap, manage product requirements, and ensure successful product releases to the market. In this role, your work will impact millions of users, who use Box Automate to get their work done on a daily basis.

WHAT YOU'LL DO 

• Conduct market research, customer research and competitive analysis to inform product decisions
• Partner with Design and Engineering teams to develop new products and enhance existing ones that deliver measurable value
• Collaborate with GTM teams including Marketing, Sales, Solutions Engineering, Customer Success, Product Support, Professional Service, etc. to effectively communicate product messaging to customers, identify high-value use cases, and explore new product opportunities
• Work with Analytics to define metrics, track adoption and usage, identify gaps, and make data-informed decisions
• Work with Business Development to identify opportunities to accelerate business, such as integration with technical partners, acquisition of new technologies, etc.

WHO YOU ARE 

• 6+ years of experience as a Product Manager, with ideally 2+ years managing B2B SaaS products.
• Proven track record of managing and launching successful products, ideally related to workflow / business process management/ content automation.
• Proficient technical understanding and ability to negotiate technical requirements.
• Excellent verbal and written communication skills for articulating product vision clearly to stakeholders at all levels and facilitating productive discussions.
• Excellent strategic thinking and analytical skills.
• Ability to work in a fast-paced, dynamic environment.
• Proficiency in product management tools and methodologies.
• Bachelor's degree in Business, Engineering, Computer Science, or a related field

Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week, with a focus on Tuesdays, Wednesdays and Thursdays. Your Recruiter will share more about how we work and company culture during the hiring process.

EQUAL OPPORTUNITY

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.

Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Accommodations are available ‎throughout ‎the application process and an employee’s employment at Box.

For details on how we protect your information when you apply, please see our Personnel Privacy Notice.

#LI-EMEA #LI-VM1 #LI-HYBRID

Role Summary and Impact 

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are seeking an exceptional and visionary Principal Engineer to join our Data & Technology Solutions leadership team. This is a critical role for an individual who embodies deep technical expertise, strategic architectural thinking, and impactful leadership. You will be responsible for defining the technical vision and direction for core components of our data products and AI platforms, including WPP Open, ensuring their scalability, reliability, and innovation within the demanding AdTech landscape. You will mentor senior engineers, drive best practices, and play a pivotal role in shaping our engineering culture and future. 

You are: 

• A distinguished technical leader with a proven track record of architecting, building, and delivering large-scale, complex distributed systems. 
• A strategic thinker capable of translating business goals into long-term technical roadmaps and influencing organizational strategy. 
• An inspiring mentor who elevates the technical capabilities and careers of those around them, fostering a culture of engineering excellence. 
• A master problem-solver who thrives on tackling the most challenging technical hurdles and making high-impact decisions. 
• An influential communicator, adept at articulating complex technical concepts to diverse audiences, from junior engineers to executive leadership. 

What You will do:

Drive Technical Vision and Architectural Strategy 

• Define and champion the technical vision and long-term architectural strategy for critical data products, AI platforms, and core services within WPP Open. 
• Lead the design and implementation of highly scalable, resilient, and performant distributed systems, ensuring they meet current and future business needs. 
• Evaluate and select new technologies, frameworks, and tools, establishing best practices and engineering standards across multiple teams. 
• Anticipate technical challenges and opportunities, proactively proposing innovative solutions that align with WPP's strategic objectives. 

Provide Technical Leadership and Mentorship 

• Act as a technical leader and role model, providing expert guidance, mentorship, and coaching to senior engineers and engineering managers across multiple teams. 
• Drive continuous improvement in engineering practices, code quality, testing methodologies, and operational excellence. 
• Lead complex technical discussions, design reviews, and architectural decision-making processes, ensuring robust and well-reasoned outcomes. 
• Foster a culture of technical innovation, continuous learning, and accountability within the engineering organization. 

Solve Complex Problems and Deliver Impact 

• Take ownership of the most challenging technical problems, providing hands-on expertise and leading cross-functional efforts to find elegant and efficient solutions. 
• Ensure that technical solutions align with product requirements and deliver maximum business value, balancing short-term delivery with long-term architectural health. 
• Drive the resolution of critical production issues, contributing to incident response and post-mortem analysis to prevent recurrence. 
• Influence the overall product roadmap and engineering strategy through deep technical insight and understanding of market dynamics in AdTech. 

Cross-Functional Collaboration and Influence 

• Collaborate closely with Product Leadership, Data Science, and other Engineering teams to align technical strategy with product vision and business goals. 
• Communicate complex technical concepts and architectural decisions effectively to both technical and non-technical stakeholders, including executive leadership. 
• Represent WPP's technical capabilities internally and externally, contributing to our reputation as a leader in marketing technology. 

Skills and Experience 

If this opportunity looks right for you, we are looking for candidates who have:  

• 10+ years of progressive experience in software engineering, with at least 3 years in a Principal Engineer, Staff Engineer, or equivalent senior technical leadership role. 
• Demonstrated expertise in architecting, developing, and operating large-scale distributed systems in a cloud-native environment (AWS and/or GCP preferred). 
• Deep proficiency in multiple programming languages (e.g.,  Python, Java, Scala), and a strong understanding of their ecosystems, performance characteristics, and best practices. 
• English fluency B2/C1 
• Extensive experience with various database technologies (relational, NoSQL, graph, data warehouses) and data processing frameworks (e.g., Spark, Kafka). 
• Expert-level understanding of cloud infrastructure components (e.g., Kubernetes, serverless, networking, security, observability). 
• Proven track record of defining and implementing technical strategies that resulted in significant business impact and improved engineering velocity. 
• Exceptional leadership, mentoring, and coaching skills, with a passion for developing engineering talent. 
• Outstanding problem-solving abilities and the capacity to make critical technical decisions under pressure. 
• Excellent verbal and written communication skills, with the ability to present complex technical concepts to diverse audiences. 
• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent extensive practical experience. 

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include access to internal learning platforms, certifications, and training sessions, life insurance, medical care & sports card in Medicover, funding for English language learning, employee mental health awareness day, and more.  

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. We are committed to offering equal opportunities to all employees, which is why we only establish collaborations based on employment contracts. 

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office two days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Following a detailed review of all applications, we will contact those candidates whose qualifications and stated terms of cooperation most closely align the objectives of our recruitment process.

The controller of your personal data is the WPP Media Poland sp. z o.o.The personal data you provide will be processed for the purpose of the recruitment process.  By providing us with personal data beyond the scope required by the Labour Code, you consent to the processing of such data for the purposes of the recruitment process.  Consent may be withdrawn at any time. Withdrawal of consent does not affect the lawfulness of the processing carried out prior to its withdrawal. For evidence purposes, please withdraw your consent in writing or by email to RODO@wppmedia.com. 

Role Summary and Impact 

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are seeking an enthusiastic and analytical Junior Product Owner with a passion for leveraging data to build impactful products. In this role, you will support the product development lifecycle for our data-driven marketing solutions, including the WPP Open platform. You'll be instrumental in translating user needs and data insights into clear product requirements, ensuring our solutions are innovative, valuable, and technically sound. Your strong understanding of data and SQL will be key to communicating effectively with engineering and data science teams and making informed product decisions. 

You are: 

• Data-curious, with a proven ability to analyze information and derive actionable insights. 
• Analytical and detail-oriented, capable of breaking down complex problems and defining clear product needs. 
• An excellent communicator, able to bridge the gap between technical and business stakeholders. 
• A proactive learner, eager to deepen your understanding of AdTech, product management, and data-driven methodologies. 
• Collaborative, thriving in a cross-functional team environment and contributing to a shared vision. 

What you will do:

Support Product Development & Lifecycle Management 

• Assist in defining, documenting, and prioritizing product requirements, user stories, and acceptance criteria based on user needs, business goals, and data analysis. 
• Work closely with Product Managers, Engineering Leads, Data Scientists, and UX Designers to ensure a shared understanding of product features and their underlying data implications. 
• Help manage and refine product backlogs, participate in agile ceremonies (sprint planning, stand-ups, reviews), and support release cycles. 
• Conduct competitive analysis and market research to identify opportunities and stay informed about industry trends in data and AI for marketing. 

Leverage Data for Product Insights and Validation 

• Utilize SQL and other data analysis tools to query datasets, analyze product performance, identify trends, and generate insights that inform product strategy and prioritization. 
• Collaborate with data engineers and data scientists to understand data availability, schemas, quality, and potential for new product features or enhancements. 
• Define and track key product performance indicators (KPIs) and metrics, helping to evaluate the success of new features post-launch. 
• Help ensure data quality and integrity within product features, flagging discrepancies or potential issues. 

Facilitate Stakeholder Communication & Feedback 

• Communicate product updates, release notes, and progress to various internal stakeholders, effectively highlighting the data-driven rationale behind product decisions. 
• Gather feedback from users, internal teams (e.g., commercial, operations), and clients to continuously iterate and improve our products. 
• Support in preparing presentations and documentation to articulate product vision, strategy, and roadmap. 

Continuous Learning & Contribution 

• Actively seek to deepen your understanding of AdTech data, our internal platforms (including WPP Open), and user behaviors through self-study and mentorship. 
• Contribute to the continuous improvement of product management processes and tools within the team. 

Skills and Experience 

If this opportunity looks right for you, we are looking for candidates who have:  

• 1-2 years of experience in a product, business analyst, data analyst, or similar role with exposure to software development. 
• Proficiency in SQL is essential, with the ability to write complex queries to extract, analyze, and manipulate data from various sources. 
• Solid understanding of relational databases and data warehousing concepts. 
• English fluency C2 
• Experience with data visualization tools (e.g., Tableau, Looker, Power BI) is a strong plus. 
• Familiarity with Agile methodologies (Scrum, Kanban) and the software development lifecycle. 
• Ability to define and document clear product requirements, user stories, and acceptance criteria. 
• Strong analytical and problem-solving skills, with the ability to interpret complex data and translate it into actionable product insights. 
• Excellent written and verbal communication skills, able to articulate technical concepts to non-technical audiences and vice-versa. 
• Proven ability to work effectively in a cross-functional team environment. 
• Bachelor's degree in Computer Science, Engineering, Business, Marketing, Economics, Statistics, or a related quantitative field. 

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include access to internal learning platforms, certifications, and training sessions, life insurance, medical care & sports card in Medicover, funding for English language learning, employee mental health awareness day, and more.  

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. We are committed to offering equal opportunities to all employees, which is why we only establish collaborations based on employment contracts. 

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office two days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Following a detailed review of all applications, we will contact those candidates whose qualifications and stated terms of cooperation most closely align the objectives of our recruitment process.

The controller of your personal data is the WPP Media Poland sp. z o.o.The personal data you provide will be processed for the purpose of the recruitment process.  By providing us with personal data beyond the scope required by the Labour Code, you consent to the processing of such data for the purposes of the recruitment process.  Consent may be withdrawn at any time. Withdrawal of consent does not affect the lawfulness of the processing carried out prior to its withdrawal. For evidence purposes, please withdraw your consent in writing or by email to RODO@wppmedia.com. 

A Career with Point72’s Technology Team

As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.

As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.

What you’ll do

• Manage the complete application development lifecycle, from planning and requirements gathering to delivery and support.
• Collaborate with cross-functional teams, including funding managers, traders, risk managers, and operations, to identify and prioritize application requirements.
• Define and maintain project plans, schedules, and resource allocations for application development projects, ensuring timely delivery and adherence to budget constraints.
• Oversee application design, development, testing, and deployment, across both cloud and on-premises environments, ensuring that applications meet functional requirements and align with industry best practices.
• Implement and maintain application performance monitoring and reporting tools, ensuring optimal application performance and stability.
• Manage a team of application developers, providing technical guidance, mentorship, and performance evaluations.
• Establish and maintain relationships with peer technology teams and third-party vendors and partners, ensuring seamless integration and support for internal and external applications and services.
• Continuously research and evaluate emerging technologies and industry trends to inform application development strategy and drive innovation.
• Collaborate closely with our Tech Innovation team on the application of Generative AI capabilities for Central Funding technology.
• Ensure compliance with relevant regulatory requirements and industry standards, including data security and privacy.

What’s required

• Bachelor’s or master’s degree in computer science, information technology, economics or a related field.
• 5 years of experience in application development and management.
• Strong understanding of central funding technology applications, including collateral management, liquidity management, and funding optimization.
• Knowledge of relevant programming languages, frameworks, and development tools, such as Java, C++, Python, C#/.NET, or similar.
• Familiarity with Agile and DevOps methodologies, as well as project management tools, such as Jira.
• Knowledge of financial products such as Margin, Cost Attribution, and Prime Brokerage.
• Proven experience managing large-scale, complex application development projects, with a track record of successful delivery.
• Sufficient product familiarity to document and anticipate central funding business requirements as well as translate them into well understood technical specifications for technology teams.
• Track record of engaging with investment professionals on competing priorities, planning delivery phases and sprints, estimating delivery timelines, and communicating delivery status.
• Excellent leadership, communication, and interpersonal skills, with the ability to work effectively with business stakeholders and cross-functional teams
• Strong analytical and problem-solving skills, with keen attention to detail.
• Commitment to the highest ethical standards.

We take care of our people

We invest in our people, their careers, their health, and their well-being. We want you to concentrate on success and leave the rest to us. When you work here, we provide:

• Sports card
• Private life insurance
• Private medical and dental care, with vision allowance
• Private pension scheme
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBTQ+ community
• Business travel accident insurance
• Employee assistance program
• Educational assistance reimbursement

About Point72

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here

A Career with Point72’s Technology Team

As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.

As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.

What you’ll do

• Configure, customize, and extend Salesforce to support new features, enhancements to existing workflows, and ongoing operational needs across multiple internal stakeholders.
• Partner directly with business teams to capture requirements, document user stories, and translate needs into scalable Salesforce solutions.
• Implement and maintain integrations with external applications (including Outlook, websites, marketing automation tools, and internal data systems).
• Develop and modify objects, page layouts, workflows, validation rules, approval processes, reports, and dashboards.
• Support recruiters in posting roles, receiving and managing candidate applications, and optimizing recruiting workflows.
• Enable communications and investor relations teams to run targeted campaigns, manage events and registrants, and streamline reporting.
• Provide training, documentation, and day-to-day support to users, ensuring high adoption and satisfaction.
• Monitor system performance, data quality, and user feedback to proactively address issues and refine solutions.
• Champion a culture of agile development and continuous improvement within the team.

What’s required

• Degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience.
• 2+ years of experience as a Salesforce Administrator, Developer, or similar role, with demonstrable experience implementing and enhancing Salesforce solutions end-to-end.
• Salesforce Administrator certification required; Salesforce Platform App Builder or Platform Developer I/II certifications strongly preferred.
• Solid understanding of Salesforce architecture, data model, and security model.
• Hands-on experience with:
  • Custom objects, fields, and formula fields.
  • Lightning App Builder and Lightning Web Components (LWCs).
  • Flows, Process Builder, and Apex triggers/classes.
  • Reports and dashboards for diverse user groups.
  • Salesforce integration capabilities (REST/SOAP APIs, Salesforce Connect, External Objects).
  • UI Design with Visualforce, HTML, CSS, JS, and Angular
• Experience integrating Salesforce with Microsoft Outlook and other productivity tools.
• Familiarity with Marketing Cloud Account Engagement (Pardot) or similar campaign/event management integrations a plus.
• Experience and certifications with Agentforce, Data Cloud, and Tableau are a plus. Experience with Sales Cloud, Financial Services Cloud, and/or Non-Profit Cloud is preferred.
• Strong ability to gather requirements and translate business needs into technical solutions, with excellent communication and documentation skills.
• Ability to work independently, manage priorities, and deliver quality results in a fast-paced, agile environment.
• Commitment to the highest ethical standards. 

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Sports card
• Private life insurance
• Private medical and dental care, with vision allowance
• Private pension scheme
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBT+ community
• Business travel accident insurance
• Employee assistance program
• Educational assistance reimbursement

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/. 

A Career with Point72’s AI/ML – Investment Services Team

The AI/ML – Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning.

What You’ll Do

• Architect, develop, and maintain high-throughput data pipelines in Databricks and AWS (Glue, EMR, Fargate, Step Functions)
  • Ingest, normalize, and enrich large volumes of structured and unstructured data including internal data, market data, third-party/vendor feeds, document repositories, and alternative data sources
  • Collaborate with AI Engineers, ML scientists, and software engineers to translate model and product requirements into scalable data architecture, schemas, and APIs
  • Optimize pipeline performance (compute, storage, network) and cost by leveraging distributed processing techniques (Spark, Delta, Arrow) and AWS best practices (spot fleets, autoscaling)
  • Enforce data governance, privacy, and lineage standards, cataloging assets in Unity Catalog, managing PII/PCI classification, and implementing fine-grained access controls with Immuta/Ranger/IAM
  • Build automated validation, testing, and monitoring frameworks to guarantee data quality, freshness, and drift detection for both offline and online workloads
  • Support the onboarding and integration of new external data vendors, ensuring contractual compliance, metadata management, and rapid time-to-value for relevant teams
  • Continuously evaluate emerging GenAI tooling (vector stores, LLMOps platforms, synthetic-data generators) and drive proof-of-concepts that enhance our data engineering capabilities

What’s Required

• Bachelor’s or master’s degree in computer science or engineering
• 3+ years of experience in data engineering or related field 
• Strong experience in Python development
• Experience with Spark or Scala
• Proficiency in building scalable, distributed data pipelines in a cloud environment
• Solid understanding of data architecture principles, data modeling, and data warehousing
• Ability to devise novel and innovative solutions to challenges
• Knowledge of/experience with graph databases is a plus
• Commitment to the highest ethical standards

We take care of our people

We invest in our people, their careers, their health, and their well-being. We want you to concentrate on success and leave the rest to us. When you work here, we provide:

• Sports card
• Private life insurance
• Private medical and dental care, with vision allowance
• Private pension scheme
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBTQ+ community
• Business travel accident insurance
• Employee assistance program
• Educational assistance reimbursement

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.

❗️Please note that this role is office based for Valencia, Spain (RAS Valencia - Servicios Profesionales de Recursos Humanos).

❗️If you need to be relocated, we take care of the process.

We are developing an innovative platform for intelligent gameplay analysis and complex in-game scenario automation. Our team builds internal tooling that bridges the gap between Computer Vision, text analysis, and modern LLM architectures to achieve deep, real-time understanding of game mechanics.

Key Responsibilities:

• Core Development: Designing and maintaining an in-house AI-powered service for intelligent automation.
• Computer Vision: Training and calibrating Object Detection and Classification models (CNNs, DETR) on unique proprietary datasets.
• Intelligent Analysis: Integrating OCR solutions and LLMs to interpret data and structure information from dynamic content.
• MLOps: Building pipelines for model retraining based on "low-confidence" predictions (Active Learning).
• Infrastructure: Containerizing solutions and ensuring their scalability and performance.

Our Tech Stack & Requirements:

• Experience: 4+ years in software development (Backend / Full Stack / SDET).
• AI/ML Background: Proven hands-on experience with Detection Transformers (DETR) or modern CNN architectures.
• LLM & Agents: Understanding of AI Agent principles; experience building tools and integrations with LLMs (LangChain, Indexing, Tool-use).
• Python: Strong proficiency in Python and experience in AI tool development.
• Engineering Excellence: Deep understanding of TDD, clean architecture principles, and database management (PostgreSQL/MySQL).
• Networking: Experience designing APIs (REST, GraphQL, WebSockets).
• English: Upper-Intermediate (technical documentation, professional communication).

Nice to Have:

• Experience with Kubernetes and Docker.
• Understanding of microservices architecture.
• Experience setting up CI/CD pipelines (GitLab CI, GitHub Actions).

A Career with Point72's Technology Team

QA Engineer, Compliance Technology

As Point72 reimagines the future of investing, our Technology team is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.

WHAT YOU'LL DO

• Design and build automated test frameworks and suites that validate compliance surveillance, monitoring, and reporting systems
• Develop end-to-end and integration tests that exercise data ingestion, processing, and user interfaces used by compliance teams
• Partner with compliance engineers, software developers, and product owners to define test strategies, acceptance criteria, and release gating
• Create tooling and synthetic data generators to simulate realistic trading activity and rare edge-case scenarios for scalable testing
• Integrate automated tests into continuous integration and delivery pipelines to enable faster, more reliable releases
• Execute performance, reliability, and regression testing; analyze results and drive remediation plans with engineering teams
• Own quality metrics, test coverage reporting, and risk assessments to prioritize testing efforts and increase confidence in deployments
• Troubleshoot defects in complex, distributed systems and lead root cause analysis to reduce recurrence
• Mentor engineers on testing best practices and help build a culture of automated testing and test-driven development

WHAT'S REQUIRED

• Bachelor’s degree in computer science, Software Engineering, or a related technical field, or equivalent practical experience
• Minimum 4 years of professional experience in software quality assurance or software engineering with testing responsibilities
• Demonstrable experience designing, building, and maintaining automated test frameworks and test suites
• Knowledge of trade lifecycle and position management concepts
• Familiarity with profit and loss fundamentals and how pricing and risk changes cascade across related products
• Experience with trading and position management systems such as Orchestrade, Murex, or Geneva
• Proficiency programming in Java or JavaScript and using associated test frameworks
• Experience testing data-intensive systems, including writing complex SQL queries and validating data integrity at scale
• Experience testing systems that process high-volume streaming or event-driven data and validating end-to-end workflows
• Experience testing APIs and service integrations using REST or similar protocols and validating multi-service interactions
• Experience integrating automated tests into continuous integration and delivery pipelines and producing test reports
• Strong debugging and root cause analysis skills when investigating defects in multi-tier systems
• Strong written and verbal communication skills and the ability to collaborate effectively with cross-functional teams in an international environment
• Commitment to the highest ethical standards

WE TAKE CARE OF OUR PEOPLE

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Sports card
• Private life insurance
• Private medical and dental care, with vision allowance
• Private pension scheme
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBT+ community
• Business travel accident insurance
• Employee assistance program
• Educational assistance reimbursement

ABOUT POINT72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72.com/.

Our Warsaw office gives us access to world-class talent with a reputation for excellence and innovation. We're looking to build an office of subject-matter experts whose fresh perspectives will help evolve our infrastructure and advance the capabilities of our teams. Learn more at https://point72.com/Warsaw.

• Paid holidays and flexible, take-it-as-you-need-it scheduled time off
• A culture built on innovation that values big ideas, no matter where they come from
• A MacBook set up and ready from day one, plus a $500 stipend to design your ideal workspace
• Central European Time (CET) hours to support a balanced schedule for our Poland-based team
• Equity in a rapidly growing startup backed by top-tier VCs

🚀 About the role

• As a Senior Staff Software Engineer, you are a critical individual contributor and architectural leader within our engineering organization. You drive the long-term technical vision of our platform, guiding how we design, build, and evolve scalable, reliable systems across multiple squads. As a high-impact, high-autonomy technical leader, you combine deep technical contributions with influential cross-team collaboration, helping shape the future of our platform to better serve our customers.
• You serve as a trusted technical partner to Engineering Managers, Directors, and Product leadership, taking ownership of our most complex technical challenges while mentoring engineers across the organization. You play a pivotal role in our transition from a monolithic Ruby on Rails application toward a modern, distributed, event-driven, domain-oriented architecture. Our team is passionate, empathetic, hard working, and above all else focused on improving the lives of our service professionals (our Pros). Our success is their success.

Compensation: 11,300 - 12,500 USD per month (B2B)

🚀Being a Senior Staff Engineer at Housecall Pro means:

• Building a product that improves users’ lives (75k unique daily users, 4.6 ⭐at App Store) - learn more about the Housecall Pro mission
• Ensure the performance, quality, and responsiveness of applications
• Collaborating with a mature, interdisciplinary dev team, engineering leaders, and architects to design and deliver high-performance, scalable, and reliable architecture
• Understand clear sub-system boundaries, and make recommendations on where functionality belongs across different sub-systems
• Develop and maintain code quality standards and enforce them across the org
• Proactively identify and drive architectural enhancements and strategic refactorings that improve system scalability, performance, and long-term maintainability.
• Design and implement automated tests at the most effective architectural layer to maximize signal, minimize brittleness, and ensure long-term maintainability.
• Conduct code reviews and architectural reviews for features developed by other members of the team
• Lead code and architectural reviews to ensure alignment with system design principles, promote engineering excellence, and elevate the quality and resilience of team-delivered features.
• Maintain and improve our continuous integration and development environments
• Being a mentor for other engineers across the organization

🚀  What do you need to get this job?

• 9+ years of experience designing, building, and operating complex production systems
• Deep experience in modern backend frameworks (e.g., Ruby on Rails, Django, Spring Boot); we primarily use Ruby/RoR, but welcome strong systems thinkers from other stacks
• Proficiency in multiple programming languages (i.e. JavaScript, Python, Go, Java, Node.js)
• Deep expertise with cloud platforms (i.e. AWS), containerization, and serverless/cloud-native architectures
• Proven success applying Domain-Driven Design (DDD) principles across multiple teams or domains
• Experience in architecting and building event-driven systems using distributed messaging tools (i.e. Kafka, SQS)
• Experience with defining and improving CI/CD pipelines (e.g., Jenkins, Gitlab, etc) and automated testing strategies (e.g., e2e, canary tests, integration tests, etc)
• Expertise in scalable API design and management (i.e. RESTful APIs; GraphQL is a plus)
• Strong background in system observability practices (logs, metrics, tracing) and performance diagnostics
• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent work experience
• A strong passion for using AI technologies to enhance productivity, quality, and innovation
• Curiosity and drive to stay ahead of emerging AI/ML technologies and their practical applications
• Ownership mentality with a balance of urgency and long-term system health

Sounds interesting?

We're waiting for your resume!

This role is open to candidates in Poland. The specific salary for the successful candidate will be determined based on permissible, non-discriminatory factors such as skills and experience. 

Data Operations Quality Manager 

Scandit POLAND

Imagine the What. Build the How.

Scandit gives people superpowers. Whether enabling delivery drivers to make quicker deliveries, matching a patient with their medication, or allowing retailers to make store operations more efficient, our technology automates workflows and provides actionable insights to help businesses in a variety of industries. Join us as we continue to expand, grow, and innovate, and help take Scandit to the next level.

About the role

As a Data Operations Quality Manager, you will be the steward of the operational quality that enables the reliability and performance of our advanced visual intelligence products. Embedded in the Data Team and working closely with product managers and engineering, you’ll shape how we build and execute operational processes, annotation work, and quality measurements of the real-world product performance. Your work will ensure that operational quality is visible and transparent to enable decision-making and a superior customer experience.

What you will do

• Own operational quality within the data team
• Establish and maintain a single source of truth on quality metrics for all stakeholders
• Design and maintain annotation and QC frameworks, including failure categories and review processes
• Establish a real-world performance measurement, balancing accuracy and resources
• Monitor and document the performance of external suppliers and contractors
• Create and evolve operational playbooks and SOPs to make sure processes are efficient and effective
• Support product, operations, engineering, and customer success with clear quality narratives, explain quality implications of decisions, and trade-offs

Who we look for

• 5+ years of experience in a quality role on production-grade deployment
• Strong analytical and statistical thinking
• Proven experience designing and improving end-to-end workflows and SOPs
• Hands-on, detail-oriented working style and willingness to dive into concrete data, images, and human annotations
• Excellent written and verbal communication skills, including explaining quality concepts to non-experts
• Proven track record of influencing without formal authority in cross-functional, multi-stakeholder environments
• High comfort with ambiguity, evolving products, and balancing rigor with speed and practical constraints

Nice to have:

• Experience working with annotation vendors, BPOs, or freelance workforces
• Familiarity with computer vision or ML data pipelines

The good stuff
Here are just some of the reasons why people choose to build their career at Scandit:

• We are certified as a “Great Place to Work” in 7 countries!
• Smart, people-first culture
• Flexible, office, hybrid or home working
• Innovation hackathons 
• Global team outings 
• Festive/end of year all company celebrations 
• Your birthday off 
• Learning and development opportunities
• An attractive individual equity plan in a high growth company 
• Top notch tech pack to enable you to do your most productive work
• Brand new optimized-for-hybrid working HQ in Zurich as well as local offices in hotspots London, Tampere, Warsaw, Boston and Tokyo
• As well as specific benefits related to the location you are joining

At Scandit we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences and are proud to be a safe space for all.

All qualified applicants will receive consideration for employment without regard to race, color, nationality, religion, sexual orientation, gender, gender identity, age, physical [dis]ability or length of time spent unemployed. 

Imagine the What. Build the How.

“Everybody is welcome here” - Is a celebrated component of our DNA.

At Scandit we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences and are proud to be a safe space for all.

All qualified applications will receive consideration for employment without regard to race, color, nationality, religion, sexual orientation, gender, gender identity, age, physical [dis]ability, or length of time spent unemployed.

We help you capture every opportunity. www.scandit.com

#LI-CB1

#dataoperations #dataops

#LI-Remote

Position: Product Backend Engineer
Location: 100% Remote in Poland
Type: This can be structured as a B2B contract or as an Employment Contract with full benefits.
Salary:  $102,700 - $124,800 + stock options.

Focal Systems is the industry leader in retail AI solutions. We are headquartered in San Francisco, California with operations in Canada and the UK, and a tech-hub in Poland. We are a Deep Learning first company. Our mission is to automate and optimize brick and mortar retail using deep learning computer vision. Focal Systems has been deployed at scale with some of the top retailers in the world. 

We seek smart, creative and passionate people who want to help build a great and enduring company and deploy Deep Learning to the world!

What we’re looking for
We’re looking for a dynamic backend engineer (Python), who is a self-starter, enjoys taking ownership, and can effectively manage tasks, projects, and problem-solve. You’re a dynamic engineer who is an effective communicator and enjoys an environment of collaboration. You want to have a big impact and like to push trends in web development in order to create a memorable experience across our brand.

What you will do
You will work with a talented team to continually iterate and improve the experience of our internal and external users. You will be empowered to drive innovation by coming up with new and exciting ideas to creatively solve issues, as well as actively look for opportunities to improve the design and interface of our core web presence.

Additionally, you will

• Work with our engineering teams to understand their backend needs and ensure data persists in usable formats for front-end, middleware, diagnostics, and Deep Learning
• Build deployment monitoring tools
• Manage blue/green deployments or canary deployments to ensure smooth launches without downtime
• Create tools to provide transparency/ease of access into the company's rich datasets stored across varying geographic locations and data formats
• Build scalable backend infrastructure using Python and Flask/FastAPI

What you need to be successful
Bachelor's Degree or higher in CS, EE or equivalent 

• 6+ years of professional software development experience as a backend engineer
• 3+ years of experience with Python
• Extensive experience with REST APIs
• Experience working with data intensive applications & microservices
• Experience with Redux is a plus
• Experience with CI/CD tools, Docker and knowledge of cloud deployments a plus
• Startup mentality, team player
• Fluent in Polish with advanced English skills (written & spoken)
• Excellent communication, presentation, and demonstration skills
• Flexibility in adjusting working hours to meet the needs of the global and time zone-diverse team (urgent tasks or meetings may occur outside of regular CEST working hours)
• Strong work ethic and commitment to completing assigned tasks and projects within established deadlines
• Previous success in developing large-scale web application with a user-focus mindset

Why Focal Systems
Strong Values and Mission - We are a tightly-knit team with an ambitious mission and a strong set of core values, which define our approach to business and have successfully guided us since inception.

Exceptional Team - We are a team of hard-working, fun-loving professionals from some of the most eminent universities, research labs, and tech companies of our time. We pride ourselves on recruiting exceptional individuals to help us redefine the state-of-the-art.

Outstanding Partners - We work with 10+ of the largest retailers in the world and have a world-class roster of investors, advisors and partners to support & advise us in our endeavors.

What we offer
We care deeply about the health, happiness, and wellbeing of all of our employees. We offer:

• Competitive Salary & Attractive Stock
• Paid Time Off 
• Team Retreats 
• Education grants

Note: Our pay bands are driven by market benchmarks in the target geography for hiring. Our posted ranges typically include multiple job levels. A candidate's level is determined by their performance throughout our talent acquisition process including technical screens, behavior interviews, presentations, work samples, and references. We will communicate transparently with the candidate at final stages regarding how we have leveled them, and what salary range that places them into. Placement within range is equally determined by education, general experience in your profession, specific experience in our domain, and your performance in the talent acquisition process. It is rare to receive an offer at the top of the range for a role.

We are looking for an experienced Product Analytics Manager to join our Tools & Workflow domain within the Platform group and help us scale and improve our customer support and internal tooling products across 50+ countries.

Bolt is one of the fastest-growing tech companies in Europe and Africa, with over 200 million customers in 50+ countries. We’re a global team of more than 100 nationalities joined on a common mission – to make cities for people, not cars. And we need you to make it happen!

Platform team operates across all Bolt verticals supporting business growth and success. The team tackles problems including geospatial (routing, ETAs etc), user identity and verification, user communications, internal tools, automation and customer support.

As a Product Analytics Manager, you will lead the analytics function for our Tools & Workflow domain within the Platform group. Your teams own the complete support experience for Bolt users and build tools and technology for efficient workforce management. You will act as a cross-functional partner driving strategic decisions, while also enabling and growing a team of product analysts. You will be at the forefront of evaluating how Automation and Artificial Intelligence can bring value to the support experience and lead discovery to find product opportunities with an optimum balance between cost-effectiveness and quality support.

Do you consider yourself both a hands-on product builder and a systematic team enabler? If yes, join us as Product Analytics Manager and help shape the future of customer support at scale!

• Build and lead a high-performing team of product analysts, raising the bar on quality, collaboration, and technical excellence.
• Own the analytics vision for the Tools & Workflow domain, partnering with Product, Engineering, Data Science, and Operations to shape strategy, influence prioritisation and surface the right opportunities.
• Audit analytical needs, align with product and business stakeholders on key definitions, and oversee the creation of accurate and scalable data products that drive smarter decisions.
• Define metrics that matter and set the gold standard for A/B testing, driving faster and better product decisions.
• Spearhead the development of analytical solutions, from self-service data products to automation impact measurement and conversational analytics.
• Own end-to-end analytical projects within the CS domain, from design to delivery, while enabling the team through best practices, training and adoption of new tools and methodologies.

• You have a proven track record in data analytics within product companies, including managerial experience leading high-performing teams.
• You hold a university degree in Economics, Data Science, Statistics, Computer Science, Mathematics, Information Management, or a related field.
• You rank your SQL skills as "outstanding" and Python/R skills as "profound", and you embrace AI-native workflows with a forward-looking mindset, always eager to adopt and grow new technical skills as the data landscape evolves.
• You have strong knowledge of BI tools, data visualisation, and a solid understanding of data architecture, with the ability to oversee the design of scalable and reliable data models.
• You have strong business acumen, an entrepreneurial mindset, and outstanding communication and leadership skills, with the ability to decompose complex solutions into a clear narrative.
• You have a solid understanding of end-to-end A/B testing and experience with advanced experimentation such as time-based tests or other causal inference methods.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50 countries.
• Work in fast-moving autonomous teams with some of the smartest people in the world.
• Accelerate your professional growth with unique career opportunities.
• Get a rewarding salary and stock option package that lets you focus on doing your best work.
• Enjoy the flexibility of working in a hybrid mode.
• Take care of your physical and mental health with our wellness perks.

*Some perks may differ depending on your location.

About the Role

We're looking for a curious, technically-minded problem solver — not someone to just close tickets.

You'll troubleshoot complex customer issues across voice, messaging, APIs, IoT, and AI products, digging into networking problems, debugging integrations, and analysing logs alongside engineering teams. But this role goes further: we're building an AI-first support model, and as you develop product expertise, you'll help shape it — building bots, automating workflows, and turning repetitive tasks into cron jobs. If you've ever spotted a repetitive task and actually built the fix for it, you'll fit right in. A background in software engineering, networking, or a related technical field (however you got there) is ideal — We care about what you can do, not where you learned it.

What You'll Do

• Troubleshoot: complex customer issues across networking, APIs, and communications products
• Investigate: using tools like Postman, cURL, Wireshark, Linux terminal and our internal tooling
• Collaborate: with customers, vendors, and engineering teams to resolve cases
• Automate: contribute to bot-building and workflow automation
• Document: solutions and improve self-service resources
• Learn: VoIP protocols, internal systems, and new technologies as the role evolves

Your Toolkit

• Troubleshooting: Postman, cURL, Wireshark, sngrep, Linux terminal
• Ticketing and Comms: Zendesk, Slack
• Collaboration: Google Workspace (Gmail, Calendar, Docs, Sheets, Meet)
• Automation: n8n, Zapier, OpenClaw (internal AI platform), scripting (Python, Bash, etc.)
• Version Control: GitHub
• Analytics: Metabase, Graylog, Jira

What We're Looking For

Must-Have

• Background in Computer Science, IT, networking, or equivalent hands-on experience
• Networking fundamentals: solid understanding of how the internet works, including DNS, routing, IP addressing, and HTTP/HTTPS
• API experience: comfortable with REST APIs, webhooks, and tools like Postman or cURL
• Linux terminal proficiency: comfortable navigating filesystems, reading logs, and running commands
• Problem-solving mindset: you dig into issues, ask good questions, and don't give up easily
• Communication skills: you'll need to be highly proficient in English, both written and verbal - owning customer communication and technical documentation from day one

Nice-to-Have

• Familiarity with scripting or programming (Python, Bash, JavaScript, or similar)
• Understanding of AI concepts such as RAG, MCPs, embeddings, and prompt engineering
• Experience using n8n, Zapier, Git/GitHub, or similar

You don’t need to tick every box -  if you’re keen to learn that's the box that matters most ! 

This role operates on Central Time (UTC-6), 9am–6pm Monday to Friday

Position: Full Stack Software Engineer
Location: 100% Remote in Poland
Type: This can be structured as a B2B contract or as an Employment Contract with full benefits.
Salary:  $120,250 - $146,250 + stock options.

Focal Systems is the industry leader in retail AI solutions. We are headquartered in San Francisco, California with operations in Canada and the UK, and a tech-hub in Poland. We are a Deep Learning first company. Our mission is to automate and optimize brick and mortar retail using deep learning computer vision. Focal Systems has been deployed at scale with some of the top retailers in the world. 

We seek smart, creative and passionate people who want to help build a great and enduring company and deploy Deep Learning to the world!

What we’re looking for

We're looking for a full-stack engineer with a strong backend foundation (Python) who's equally comfortable working in React when the product needs it. Think 60/40 backend-to-frontend — you'll spend the majority of your time building APIs, data pipelines, and backend services, but you'll regularly contribute to our React/TypeScript frontend and won't treat it as someone else's problem.

You'll work on systems that process data from hundreds of thousands of IoT devices deployed across major grocery retail chains worldwide. Your code will power the tools that store employees use daily — from planogram compliance to shelf monitoring powered by computer vision.

We're not looking for someone who just writes code to spec. We need someone who understands why they're building something, validates whether it actually solves the problem, and takes ownership of the outcome. You'll dig into data, talk to internal stakeholders, and sometimes prototype directly in production to test an idea before investing in a full build.

Our problem space is broad, and our teams lean. Every engineer has massive ownership. We use AI as a pragmatic tool to move faster, not to follow trends. Expect to ship every week in an environment that values shipping over ceremony.

What you will do

• Build and maintain scalable backend services using Python (Flask/FastAPI) that process data from 300,000+ IoT devices
• Design and develop REST APIs consumed by internal tools and customer-facing applications
• Build and improve React/TypeScript frontend features — from translating designs into code to refining existing UI components
• Write database queries to analyze how features are actually being used and to debug production issues
• Build deployment monitoring and diagnostic tools that give visibility into system health across geographies
• Create tools that provide transparency and ease of access into the company's rich datasets stored across varying geographic locations and data formats
• Collaborate with engineering teams to ensure data persists in usable formats for frontend, middleware, diagnostics, and Deep Learning pipelines
• Remotely debug customer issues across the full stack and find smart solutions that actually work
• Partner with the product team to shape user experience — you'll bridge the gap between backend capabilities and what users actually see
• Support our customer success team by helping solve client problems
• Evaluate incoming requests — assess the effort required vs. potential value delivered
• Expand test coverage for critical backend services and frontend user flows
• Refactor existing code to reduce complexity and keep things maintainable
• Be part of the team that ships weekly releases to customers
• Present your work to the company and share what you've shipped
  
  

Why Focal Systems
Strong Values and Mission - We are a tightly-knit team with an ambitious mission and a strong set of core values, which define our approach to business and have successfully guided us since inception.

Exceptional Team - We are a team of hard-working, fun-loving professionals from some of the most eminent universities, research labs, and tech companies of our time. We pride ourselves on recruiting exceptional individuals to help us redefine the state-of-the-art.

Outstanding Partners - We work with 10+ of the largest retailers in the world and have a world-class roster of investors, advisors and partners to support & advise us in our endeavors.

What we offer
We care deeply about the health, happiness, and wellbeing of all of our employees. We offer:

• Competitive Salary & Attractive Stock
• Paid Time Off 
• Team Retreats 
• Education grants

Note: Our pay bands are driven by market benchmarks in the target geography for hiring. Our posted ranges typically include multiple job levels. A candidate's level is determined by their performance throughout our talent acquisition process including technical screens, behavior interviews, presentations, work samples, and references. We will communicate transparently with the candidate at final stages regarding how we have leveled them, and what salary range that places them into. Placement within range is equally determined by education, general experience in your profession, specific experience in our domain, and your performance in the talent acquisition process. It is rare to receive an offer at the top of the range for a role.

A Career with Point72’s Technology Group

As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.

As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.

What you’ll do

• Design, develop, and maintain scalable, high-performance C#/.NET Core APIs and backend services.
• Build and optimize data models, queries, and database performance.
• Ensure service reliability and availability by managing SLAs, monitoring, alerting, and incident response.
• Collaborate closely with UI developers, Quality Assurance and cross-functional teams to deliver end-to-end features.
• Write clean, maintainable code with strong unit test coverage.
• Participate in code reviews, design discussions, and technical decision-making.
• Manage UAT environments, deployments, and CI/CD pipelines.
• Monitor application health, performance, and logs using observability tools.
• Contribute to DevOps automation, infrastructure improvements, and operational best practices.
• Provide support for production issues, including timely critical bug fixes and incident resolution.

What’s required

• Bachelor’s degree in computer science, engineering, or a related field.
• 10+ years of experience in backend or server-side development.
• Strong proficiency in C#/.NET Core and RESTful API design.
• Proven experience ensuring service reliability and availability through SLA management, monitoring, alerting, and incident response.
• Hands-on experience with MongoDB and SQL Server, including performance tuning.
• Strong problem-solving, debugging, and analytical skills.
• Excellent communication skills and the ability to collaborate across teams.
• Ability to work independently and thrive in a fast-paced, agile environment.
• Commitment to the highest ethical standards.

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Sports card
• Private life insurance
• Private medical and dental care, with vision allowance
• Private pension scheme
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBT+ community
• Business travel accident insurance
• Employee assistance program
• Educational assistance reimbursement

About Point72

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here

Web Scraping Engineer, Mi-Platform

A Career with Point72’s Market Intelligence Team
Point72’s Market Intelligence team is responsible for developing proprietary research products, providing data and research management services for investment teams, to support their pursuit of superior, risk-adjusted returns. We leverage innovative alternative data sources, advanced data analytics and technologies, as well as deep fundamental research to create high-quality compliant and differentiated research. Backed by the full resources of Point72, our sector-aligned teams collaborate to solve important research problems in partnership with the Firm’s investment and compliance professionals. 

What you’ll do
As a Data Engineer focused on Web Scraping, you will be building solutions for processing big and unstructured data sets at Point72. You will be responsible for extracting and ingesting data from websites, using compliance-approved web crawling tools. In this role you will:

• Own the creation process of these tools, services, and workflows to improve crawl/scrape analysis, reports and data management
• Be responsible for testing the data and the scrape to ensure accuracy, quality, and compliance
• Own the process to identify and rectify any issues with breaks as well as scale scrapes as needed

What’s required

• Solid Python and SQL knowledge
• Experience in running automated programs at scale
• Working experience with cloud-based technologies
• Familiarity with Linux/UNIX, HTTP, HTML, JavaScript and Networking,
• Familiarity with common techniques and tools for crawling, extracting and processing data (e.g., Requests BeautifulSoup, Scrapy, Pandas, Selenium, Spark, etc.)
• Working knowledge of version control systems and open source practices
• Great analytical and problem-solving skills
• Great communication skills (written and spoken in English)
• Bachelor's Degree in Computer Science or a related field or the equivalent demonstrated experience
• Experience with extracting text from PDFs, images, applications, etc. is a plus
• Experience with system monitoring / administration tools is a plus
• Experience with working with applications designed to display archived web content is a plus
• Commitment to the highest ethical standards
• Prior experience with analyzing big data sets

We take care of our people
We invest in our people, their careers, health, and well-being. We want you to concentrate on the success and leave the rest to us. When you work here, we provide:

• Sports card
• Private life insurance
• Private medical and dental care, with vision allowance
• Private pension scheme
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBT+ community
• Business travel accident insurance
• Employee assistance program
• Educational assistance reimbursement

About Point72
Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. Our Warsaw office gives us access to world-class talent with a reputation for excellence and innovation. We’re looking to build an office of subject-matter experts whose fresh perspectives will help evolve our infrastructure and advance the capabilities of our teams. Learn more at Point72.com/Warsaw.

A Career with Point72’s Market Intelligence Team

On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within.

What you'll do

As a member of the Market Intelligence Engineering team, you will work closely with researchers and data scientists to design and build interactive solutions that enable investment professionals to extract insights from complex data through intuitive interfaces. Working across frontend, services, and database tiers – you will:

• Create responsive, data-driven web applications using React/JavaScript that transform complex information into actionable insights
• Partner with business stakeholders to understand requirements and deliver visualization solutions
• Develop dynamic content delivery solutions across multiple channels (Chatbots, Emails, Desktop Excel)
• Develop scalable backend services that integrate with various data sources, APIs, and cloud infrastructure
• Optimize database queries and data access patterns to power interactive dashboards and reports
• Contribute to our modern development practices including automated testing, continuous integration, and infrastructure as code
• Our tech stack includes React, TypeScript, Next.js, PostgreSQL, and AWS services, all deployed within a Kubernetes environment.

What's required

You should have a strong background in full-stack development with emphasis on modern web technologies and cloud-based architectures. Specifically, you should have:

• Bachelor's degree in computer science or related field
• 3+ years of professional front end development experience
• Strong portfolio demonstrating user Interface design and development using React, JavaScript/TypeScript, css
• Excellent problem-solving skills and attention to detail
• Professional experience building web applications using React and JavaScript/TypeScript
• Demonstrated experience integrating with RESTful APIs, microservices, and third-party services
• Proficiency with backend technologies such as Node.js, Express, or Next.js
• Experience with relational databases (particularly PostgreSQL) including schema design and query optimization
• Strong communication skills with ability to interface directly with business stakeholders and translate requirements into technical solutions
• Commitment to the highest ethical standards

We take care of our people

We invest in our people, their careers, their health, and their well-being. We want you to concentrate on success and leave the rest to us. When you work here, we provide:

• Sports card
• Private life insurance
• • Private medical and dental care, with vision allowance
• • Private pension scheme
• • Volunteer opportunities
• • Support for employee-led affinity groups representing women, people of color and the LGBTQ+ community
• • Business travel accident insurance
• • Employee assistance program
• • Educational assistance reimbursement

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com/about.

A Career with Point72’s Technology Team

As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.

What you’ll do

• Respond to and resolve escalations from our Security Operations Center (SOC)
• Operationalize threat intelligence feeds to identify and address emerging risks
• Perform proactive threat hunting across endpoints, networks, and cloud platforms
• Participate in red team exercises, penetration testing, and tabletop incident simulations
• Investigate phishing and social engineering incidents, coordinating remediation with users and admins
• Collect and analyze forensic evidence and system logs from Windows, Linux, and MacOS hosts
• Configure and tune security tools to enhance detection capabilities and reduce false positives
• Build and manage SOAR automation workflows to streamline incident response and optimize SOC operations
• Create clear incident and threat trend reports for leadership on a regular basis

What’s required:

• Bachelor’s degree in information security, information systems, information technology or a relevant discipline
• 3-5 years of experience working in security operations or managed detection and response
• Hands-on experience with enterprise-grade NGAV/EDR platforms, SIEM solutions, cloud security management tools, and vulnerability management technologies
• Technical foundation in computer security threats and vulnerabilities, incident detection and response, and forensic analysis
• Proven ability to operate effectively within mission-critical production IT environments, including those supporting sensitive financial systems and high‑availability trading and data platforms
• Experience collaborating effectively with global team members across multiple time zones
• Excellent communication skills
• Commitment to the highest ethical standards

We take care of our people
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Sports card
• Private life insurance
• Private medical and dental care, with vision allowance
• Private pension scheme
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBT+ community
• Business travel accident insurance
• Employee assistance program
• Educational assistance reimbursement

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.

Our Warsaw office gives us access to world-class talent with a reputation for excellence and innovation. We’re looking to build an office of subject-matter experts whose fresh perspectives will help evolve our infrastructure and advance the capabilities of our teams. Learn more at http://point72.com/Warsaw

The landscape of AI is evolving rapidly, and PandaDoc is investing heavily in machine learning to power the next generation of intelligent document workflows. Our goal is to build scalable, production-grade AI systems that automate document understanding, extract structured data at scale, and enable new AI-first product experiences for tens of thousands of businesses.

As an ML Engineer focused on Document Intelligence and GenAI, you will design, train, evaluate, and optimize models that transform unstructured documents into high-quality structured data. You’ll work across the full stack of model development—datasets, training, inference, deployment pipelines—and help bring cutting-edge research into real production systems at scale.

What makes this role unique?

• Document Intelligence at Scale: Your work will directly power PandaDoc’s core AI capabilities—from layout detection and OCR to structured extraction, retrieval, and document-based reasoning.
• High Ownership, High Impact: You will design end-to-end ML systems, influence roadmap decisions, and work closely with product, engineering, and design to define requirements and ship production AI features.
• Real-World ML Challenges: You’ll tackle model robustness, evaluation, latency, observability, RAG quality, model routing, and the complexities of deploying AI systems that must perform reliably on millions of documents.
• Deep GenAI Integration: You’ll experiment with frontier and open-source models, integrate vision–language systems, and build efficient pipelines for inference, guardrails, fine-tuning, and document-aware reasoning.

In this role, you will:

• Model Development & Evaluation
  • Build and maintain evaluation frameworks for document models, LLMs, OCR, and structured extraction.
  • Define metrics, benchmarks, and validation strategies for real-world document workloads.
• Dataset & Pipeline Creation
  • Design and curate high-quality datasets for supervised training, fine-tuning, and validation.
  • Create scalable preprocessing pipelines for PDFs, scans, images, forms, and semi-structured documents.
• Model Training & Fine-Tuning
  • Train and fine-tune transformer-based OCR, VLMs, layout models, and open-source LLMs for document understanding tasks.
  • Optimize models for reliability, accuracy, and cost efficiency in production environments.
• Inference & Deployment
  • Deploy ML models with modern inference runtimes (vLLM, TGI, TensorRT, ONNX Runtime).
  • Build guardrails, monitoring, and fallback mechanisms to ensure safe and predictable model behavior.
• RAG & Document Reasoning
  • Develop retrieval and chunking strategies tailored to document structures (tables, forms, multi-page PDFs).
  • Optimize end-to-end RAG pipelines for semantic search, Q&A, and workflow automation.
• Cross-Functional Collaboration
  • Partner with PMs, backend engineers, and product designers to define AI opportunities and translate requirements into technical solutions.

About you:

We are expanding our AI/ML function with an ML Engineer who specializes in document intelligence, vision–language models, and LLM-based extraction and reasoning. You should be comfortable with both traditional document AI approaches and cutting-edge GenAI workflows. You thrive in fast-moving environments, are self-directed, and enjoy solving practical ML problems that directly impact customers.

We’re looking for someone with experience in:

• Vision transformers, layout models, and OCR systems
• Structured extraction from complex documents
• RAG for document-heavy workloads
• Optimizing LLM pipelines for cost, accuracy, and throughput
• Deploying and benchmarking models in real production systems

Required Experience

• 5+ years of Python experience
• Experience training, fine-tuning, and deploying traditional computer vision models for document intelligence tasks (layout detection, table extraction, OCR, information extraction)
• Hands-on experience with document understanding frameworks and models:
  • Traditional document AI models (LayoutLM, Donut, DocFormer)
  • Modern vision-language models with OCR capabilities (DeepSeek-OCR, LightOnOCR-1B, etc.)
  • Experience deploying and optimizing models using inference frameworks such as vLLM (preferred), TGI, TensorRT, or ONNX Runtime
  • Experience applying LLMs to document intelligence workflows, including both frontier models and open-source alternatives
  • Strong understanding of coordinate systems and spatial reasoning for absolute positioning and field detection in forms/documents

It would be awesome if you had:

• Familiarity with PDF parsing libraries and document preprocessing pipelines
• Experience fine-tuning open-source models for domain-specific document tasks
• Knowledge of evaluation metrics for document understanding tasks (F1, exact match, etc.)

Company Overview: 

PandaDoc empowers more than 67,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more.  For more information, please visit https://www.pandadoc.com.

Company Culture: 

We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.

Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. 

Check out our LinkedIn to learn more.

Benefits:

• An honest, open culture that emphasizes feedback and promotes professional and personal development
• An opportunity to work from anywhere — our team is distributed worldwide, from Lisbon to Manila, from Florida to California
• 6 self care days
• A competitive salary
• And much more!

PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

EXTERNAL RECRUITERS

Approval Requirement

The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.

The landscape of AI is evolving rapidly, and PandaDoc is investing heavily in machine learning to power the next generation of intelligent document workflows. Our goal is to build scalable, production-grade AI systems that automate document understanding, extract structured data at scale, and enable new AI-first product experiences for tens of thousands of businesses.

As an ML Engineer focused on Document Intelligence and GenAI, you will design, train, evaluate, and optimize models that transform unstructured documents into high-quality structured data. You’ll work across the full stack of model development—datasets, training, inference, deployment pipelines—and help bring cutting-edge research into real production systems at scale.

What makes this role unique?

• Document Intelligence at Scale: Your work will directly power PandaDoc’s core AI capabilities—from layout detection and OCR to structured extraction, retrieval, and document-based reasoning.
• High Ownership, High Impact: You will design end-to-end ML systems, influence roadmap decisions, and work closely with product, engineering, and design to define requirements and ship production AI features.
• Real-World ML Challenges: You’ll tackle model robustness, evaluation, latency, observability, RAG quality, model routing, and the complexities of deploying AI systems that must perform reliably on millions of documents.
• Deep GenAI Integration: You’ll experiment with frontier and open-source models, integrate vision–language systems, and build efficient pipelines for inference, guardrails, fine-tuning, and document-aware reasoning.

In this role, you will:

• Model Development & Evaluation
  • Build and maintain evaluation frameworks for document models, LLMs, OCR, and structured extraction.
  • Define metrics, benchmarks, and validation strategies for real-world document workloads.
• Dataset & Pipeline Creation
  • Design and curate high-quality datasets for supervised training, fine-tuning, and validation.
  • Create scalable preprocessing pipelines for PDFs, scans, images, forms, and semi-structured documents.
• Model Training & Fine-Tuning
  • Train and fine-tune transformer-based OCR, VLMs, layout models, and open-source LLMs for document understanding tasks.
  • Optimize models for reliability, accuracy, and cost efficiency in production environments.
• Inference & Deployment
  • Deploy ML models with modern inference runtimes (vLLM, TGI, TensorRT, ONNX Runtime).
  • Build guardrails, monitoring, and fallback mechanisms to ensure safe and predictable model behavior.
• RAG & Document Reasoning
  • Develop retrieval and chunking strategies tailored to document structures (tables, forms, multi-page PDFs).
  • Optimize end-to-end RAG pipelines for semantic search, Q&A, and workflow automation.
• Cross-Functional Collaboration
  • Partner with PMs, backend engineers, and product designers to define AI opportunities and translate requirements into technical solutions.

About you:

We are expanding our AI/ML function with an ML Engineer who specializes in document intelligence, vision–language models, and LLM-based extraction and reasoning. You should be comfortable with both traditional document AI approaches and cutting-edge GenAI workflows. You thrive in fast-moving environments, are self-directed, and enjoy solving practical ML problems that directly impact customers.

We’re looking for someone with experience in:

• Vision transformers, layout models, and OCR systems
• Structured extraction from complex documents
• RAG for document-heavy workloads
• Optimizing LLM pipelines for cost, accuracy, and throughput
• Deploying and benchmarking models in real production systems

Required Experience

• 5+ years of Python experience
• Experience training, fine-tuning, and deploying traditional computer vision models for document intelligence tasks (layout detection, table extraction, OCR, information extraction)
• Hands-on experience with document understanding frameworks and models:
  • Traditional document AI models (LayoutLM, Donut, DocFormer)
  • Modern vision-language models with OCR capabilities (DeepSeek-OCR, LightOnOCR-1B, etc.)
  • Experience deploying and optimizing models using inference frameworks such as vLLM (preferred), TGI, TensorRT, or ONNX Runtime
  • Experience applying LLMs to document intelligence workflows, including both frontier models and open-source alternatives
  • Strong understanding of coordinate systems and spatial reasoning for absolute positioning and field detection in forms/documents

It would be awesome if you had:

• Familiarity with PDF parsing libraries and document preprocessing pipelines
• Experience fine-tuning open-source models for domain-specific document tasks
• Knowledge of evaluation metrics for document understanding tasks (F1, exact match, etc.)

Company Overview: 

PandaDoc empowers more than 67,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more.  For more information, please visit https://www.pandadoc.com.

Company Culture: 

We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.

Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. 

Check out our LinkedIn to learn more.

Benefits:

• An honest, open culture that emphasizes feedback and promotes professional and personal development
• An opportunity to work from anywhere — our team is distributed worldwide, from Lisbon to Manila, from Florida to California
• 6 self care days
• A competitive salary
• And much more!

PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

EXTERNAL RECRUITERS

Approval Requirement

The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.

The landscape of AI is evolving rapidly, and PandaDoc is investing heavily in machine learning to power the next generation of intelligent document workflows. Our goal is to build scalable, production-grade AI systems that automate document understanding, extract structured data at scale, and enable new AI-first product experiences for tens of thousands of businesses.

As an ML Engineer focused on Document Intelligence and GenAI, you will design, train, evaluate, and optimize models that transform unstructured documents into high-quality structured data. You’ll work across the full stack of model development—datasets, training, inference, deployment pipelines—and help bring cutting-edge research into real production systems at scale.

What makes this role unique?

• Document Intelligence at Scale: Your work will directly power PandaDoc’s core AI capabilities—from layout detection and OCR to structured extraction, retrieval, and document-based reasoning.
• High Ownership, High Impact: You will design end-to-end ML systems, influence roadmap decisions, and work closely with product, engineering, and design to define requirements and ship production AI features.
• Real-World ML Challenges: You’ll tackle model robustness, evaluation, latency, observability, RAG quality, model routing, and the complexities of deploying AI systems that must perform reliably on millions of documents.
• Deep GenAI Integration: You’ll experiment with frontier and open-source models, integrate vision–language systems, and build efficient pipelines for inference, guardrails, fine-tuning, and document-aware reasoning.

In this role, you will:

• Model Development & Evaluation
  • Build and maintain evaluation frameworks for document models, LLMs, OCR, and structured extraction.
  • Define metrics, benchmarks, and validation strategies for real-world document workloads.
• Dataset & Pipeline Creation
  • Design and curate high-quality datasets for supervised training, fine-tuning, and validation.
  • Create scalable preprocessing pipelines for PDFs, scans, images, forms, and semi-structured documents.
• Model Training & Fine-Tuning
  • Train and fine-tune transformer-based OCR, VLMs, layout models, and open-source LLMs for document understanding tasks.
  • Optimize models for reliability, accuracy, and cost efficiency in production environments.
• Inference & Deployment
  • Deploy ML models with modern inference runtimes (vLLM, TGI, TensorRT, ONNX Runtime).
  • Build guardrails, monitoring, and fallback mechanisms to ensure safe and predictable model behavior.
• RAG & Document Reasoning
  • Develop retrieval and chunking strategies tailored to document structures (tables, forms, multi-page PDFs).
  • Optimize end-to-end RAG pipelines for semantic search, Q&A, and workflow automation.
• Cross-Functional Collaboration
  • Partner with PMs, backend engineers, and product designers to define AI opportunities and translate requirements into technical solutions.

About you:

We are expanding our AI/ML function with an ML Engineer who specializes in document intelligence, vision–language models, and LLM-based extraction and reasoning. You should be comfortable with both traditional document AI approaches and cutting-edge GenAI workflows. You thrive in fast-moving environments, are self-directed, and enjoy solving practical ML problems that directly impact customers.

We’re looking for someone with experience in:

• Vision transformers, layout models, and OCR systems
• Structured extraction from complex documents
• RAG for document-heavy workloads
• Optimizing LLM pipelines for cost, accuracy, and throughput
• Deploying and benchmarking models in real production systems

Required Experience

• 5+ years of Python experience
• Experience training, fine-tuning, and deploying traditional computer vision models for document intelligence tasks (layout detection, table extraction, OCR, information extraction)
• Hands-on experience with document understanding frameworks and models:
  • Traditional document AI models (LayoutLM, Donut, DocFormer)
  • Modern vision-language models with OCR capabilities (DeepSeek-OCR, LightOnOCR-1B, etc.)
  • Experience deploying and optimizing models using inference frameworks such as vLLM (preferred), TGI, TensorRT, or ONNX Runtime
  • Experience applying LLMs to document intelligence workflows, including both frontier models and open-source alternatives
  • Strong understanding of coordinate systems and spatial reasoning for absolute positioning and field detection in forms/documents

It would be awesome if you had:

• Familiarity with PDF parsing libraries and document preprocessing pipelines
• Experience fine-tuning open-source models for domain-specific document tasks
• Knowledge of evaluation metrics for document understanding tasks (F1, exact match, etc.)

Company Overview: 

PandaDoc empowers more than 67,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more.  For more information, please visit https://www.pandadoc.com.

Company Culture: 

We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.

Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. 

Check out our LinkedIn to learn more.

Benefits:

• An honest, open culture that emphasizes feedback and promotes professional and personal development
• An opportunity to work from anywhere — our team is distributed worldwide, from Lisbon to Manila, from Florida to California
• 6 self care days
• A competitive salary
• And much more!

PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

EXTERNAL RECRUITERS

Approval Requirement

The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.

CAPCO POLAND

THINGS YOU WILL DO

• Supports the modeling team in developing financial machine learning models by gathering and aggregating data from diverse sources.
• Cleans, transforms, and analyzes data to ensure high-quality inputs for modeling processes.
• Designs and implements ETL pipelines to streamline data workflows and improve data accessibility.

SKILLS & KNOWLEDGE REQUIRED

• 4 - 5+ years as a Data Analyst
• Strong SQL + Python (Pandas, NumPy, SciPy, PySpark)
• Solid understanding of data wrangling, ETL
• Experience working with large databases
• Banking/financial domain knowledge is a strong plus
• Bachelor Degree in Computer Science or related topic
• Excellent communication skills, detail oriented, team player, business oriented
• Great English skills both written and spoken

ONLINE RECRUITMENT PROCESS STEPS

• Screening call with the Recruiter
• Capco Hiring Manager Interview
• Client’s interview
• Feedback/Offer

We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects.