As a Field Engineer, you’ll work at the intersection of software engineering and customer delivery. You’ll own the technical implementation of client-specific solutions, from understanding requirements and writing code to testing, deployment, and troubleshooting.
Responsibilities
Build and deploy client-specific solutions
Own the technical implementation of client requirements, from scoping and solution design through development, testing, and deployment
Own the backend of our affiliation platform — partner catalogue, offer and reward configuration, click-out, tracking, purchase attribution and reward crediting.
Locations (4)
Paris, Île-de-France, France
New York, United States
London, England, United Kingdom
Boston, United States
Responsibilities
Own the backend of our affiliation platform — partner catalogue, offer and reward configuration, click-out, tracking, purchase attribution and reward crediting
Integrate and maintain our affiliate networks and providers — feeds, APIs, S2S postbacks and callbacks — and turn each new partner integration into a faster, more standardised & agentic process
Customer engineering helps customers turn technical requirements into working solutions, combining hands-on technical problem-solving, customer-facing implementation support, software configuration, and cross-functional collaboration for telehealth businesses.
Responsibilities
Work directly with customers to understand technical requirements and implementation goals
Translate customer business needs into supported technical configurations
Support technical onboarding and customer implementation activities
Guide customers through supported integration setup and troubleshooting
Investigate REST API, webhook, and authentication-related issues
Requirements
3+ years of experience in customer engineering, solutions engineering, technical implementation, technical support engineering, or a closely related customer-facing technical role
Join our internal software team to build an in-house test automation platform for cellular modules. You'll connect test management, CI, and issue tracking with lab hardware so tests run unattended, from firmware flash to published result. This is a build-from-the-ground-up project with real ownership and direct impact on product quality.
Compensation
we offer a competitive compensation and benefits package
Responsibilities
Build a system that tracks test benches, matches test cases to compatible hardware, and manages reservations and queueing
Automate lab hardware: firmware flashing, power cycling, SIM switching, and RF enclosure control
Develop agents that run on test benches and report health and status
Orchestrate test runs through Jenkins, triggered from Xray/TestRail or Jira
Capture logs, determine pass/fail, publish results, and automate defect reporting
Requirements
Embedded, electronics, or hardware projects, including coursework or personal work
Build, deploy, and improve AI-powered systems and features across the full development lifecycle, from prototyping to production deployment and monitoring.
Responsibilities
Design, build, and iterate on AI-powered systems and features
Develop prototypes and turn successful experiments into production-ready solutions
Apply machine learning techniques to solve practical product and customer problems
Design and maintain reliable, scalable data and model inference pipelines
Optimize AI systems for performance, reliability, and efficiency
As a Sr. Consultant, Data Developer, you’ll be a senior technical leader in CAM’s technology transformation, modernizing the collections, recovery and insolvency platforms that support CIBC Retail, Small Business and Simplii clients. You’ll own the end-to-end data solution for CAM, setting the technical direction and leading the design, development, testing and implementation of the CAM data layer, including ETL pipelines, an operational data store (ODS) and large-scale data migration.
Responsibilities
Define and own the target-state data architecture, design patterns and engineering standards for the CAM data layer.
Lead and contribute to the development of complex, high-volume data engineering solutions, including metadata-driven ETL pipelines.
Act as the accountable technical owner for CAM data applications, driving the roadmap, delivery planning, estimates, production stability and continuous improvement.
Lead the technical design and integration of cross-functional, multi-platform systems, including batch file and API integrations.
Own the data migration strategy and approach, including mapping, profiling, transformation, reconciliation, mock conversions, cutover and post-implementation verification.
Responsible for bridging client needs with Keedian's SaaS platform capabilities, ensuring that product decisions solve real problems and deliver measurable value to both customers and the business.
Locations (3)
Argentina
Colombia
Mexico
Responsibilities
Work directly with clients to understand their workflows, challenges, and business needs
Identify underlying problems rather than simply translating customer requests into features
Own and maintain a structured, prioritized product backlog
Translate customer needs into clear product requirements, user stories, and acceptance criteria
Prioritize initiatives based on business impact, customer value, effort, risk, and urgency
Resourceful, technically savvy AI Operations & Automation Specialist to help streamline and scale content and digital operations by identifying and automating manual processes across social media, websites, newsletters, podcasts, video, and other digital channels.
Responsibilities
Identify opportunities to automate repetitive tasks and improve existing workflows
Build, test, and maintain AI-powered tools, agents, and automation systems
Streamline content creation, scheduling, publishing, and distribution across digital channels
Collaborate with internal teams to understand operational challenges and implement practical solutions
Monitor automation performance, troubleshoot issues, and continuously improve processes
Make tracking trustworthy end to end, cutting untracked and mis-attributed purchases, our single biggest driver of support tickets and negative store reviews
Rebuild the claims flow so users get a shorter time-to-reward, clear reasons when a purchase is rejected
Get reward computation right across promo and flash offers, level-up bonuses, caps and category rules