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The ideal candidate will possess strong problem-solving abilities and passion for developing innovative embedded solutions.

In this role, you will design, implement and maintain real-time embedded software for our next-generation wireless power products.

You will report directly to the VP of R&D.

Job Responsibilities:
Design, develop, improve, and maintain real-time embedded software from concept through production.
Define and implement firm architecture on ARM Cortex-M & STM8 microcontrollers.
Integrate real-time embedded software with external hardware components and complete system products.
Collaborate closely with hardware, systems and QA teams to ensure seamless integration and performance.
Participate in code reviews, debugging and system validation processes.
Create and maintain clear technical documentation for design and code.

We are a young, dynamic hi-tech company seeking a passionate, resilient, and proactive Technical Support Engineer to join our growing team.
In this role, you will become an expert in the inner workings of our platform and take responsibility for Tier-1 support, cross-team investigations, and customer success enablement. You will work closely with Product, Engineering, and Business teams to ensure a smooth client experience, providing guidance, issue resolution, proactive support, and intiatiives to improve the team's performance
This is a demanding and fast-paced role ideal for someone who thrives under pressure, has deep empathy for users, and is excited about solving problems and helping others succeed.
Responsibilities:
Serve as the first point of contact for Tier-1 technical support, handling and triaging issues through Zendesk and collaborating as needed across departments.
Investigate root causes, debug issues, and coordinate escalations with engineering and product teams.
Guide customers through platform features, API integrations, and SFTP connections.
Help define and improve internal workflows by creating documentation, process diagrams, and training materials.
Reproduce and debug customer-reported problems, escalating appropriately and following up for timely resolution.
Conduct deep investigations into technical issues and ensure accurate handoff to relevant teams.
Provide product education and support to clients, helping them understand platform functionality.
Being on call for urgent issues as part of a regular rotation.

A growing B2B SaaS company is looking for an experienced Head of Data Science to lead its Data Science function and drive the next generation of AI and machine learning capabilities.
This is a strategic leadership role combining people management, hands-on problem-solving, cross-functional collaboration, and ownership of data-driven innovation across the organization.
Responsibilities
Lead and mentor a global team of Data Scientists
Define and execute the company's Data Science strategy
Drive the development of advanced machine learning, optimization, and forecasting solutions
Partner closely with Product, Engineering, Customer Success, and executive leadership
Translate complex business challenges into scalable analytical solutions
Support customer-facing initiatives and strategic engagements when needed
Establish best practices for experimentation, model evaluation, and performance measurement
Act as a key stakeholder in shaping the company's AI vision and roadmap.

We're looking for a Data Engineer to own our data architecture end-to-end. You'll design, build, and scale the pipelines that power every pricing decision we make - from raw ingestion through our data lake to the analytics and BI layers our customers rely on. This is a hands-on leadership role: you'll set technical direction, drive architectural decisions, and mentor a team of data engineers, while still writing code and owning delivery.
What You'll Do:
Architect and build large-scale batch and streaming ETL/ELT pipelines
Own data lake design, table modeling, and partitioning strategy across billion-row datasets
Drive query performance and cloud cost optimization across AWS and GCP
Establish data quality, observability, and reliability standards - freshness, correctness, and SLAs
Partner with backend, product, and data science teams to expose data through internal and customer-facing APIs
Our Stack
Spark / EMR Airflow BigQuery PostgreSQL & Aurora Kafka RabbitMQ Elasticsearch Go Python AWS GCP Kubernetes Terraform.

We are looking for a Senior Customer Success Manager who combines business understanding, analytical thinking, and technical aptitude to help global customers achieve measurable results with us.
You will own customer relationships throughout the post-sales lifecycle, from adoption and ongoing optimization to renewal and expansion. You will work with pricing teams, technical stakeholders, and senior management to translate business goals into practical platform configurations, analyze results, and lead discussions that turn insights into decisions.
Success in this role requires confidence working with both people and numbers, curiosity about how things work, and the independence to take ownership of complex initiatives and drive them to completion.
Key Responsibilities:
Own relationships with global B2B customers, serving as their trusted advisor and primary point of contact.
Understand each customers business and pricing objectives, define measurable success goals, and drive clear action plans.
Lead business reviews, pricing workshops, and executive discussions, translating data and complex topics into clear recommendations and decisions.
Configure pricing strategies, business rules, and workflows, review customer data and recommendations, and investigate unexpected results.
Analyze pricing and business performance, including revenue, margin, and sell-through, to identify opportunities and demonstrate customer value.
Independently lead customer initiatives from definition to completion, coordinating internal teams, resolving blockers, and keeping stakeholders informed.
Drive adoption, identify account risks, and manage renewals and expansion opportunities, including scope discussions, proposals, and negotiations.
Maintain accurate and up-to-date account information in HubSpot and ClickUp, including customer health, commercial opportunities, key decisions, commitments, owners, and timelines.

Required Lead Backend Engineer
About the Role:
As a Senior Backend Engineer on the Exchange Engine team, you will be a driving force behind the core systems of our massive mobile advertising platform. You will tackle complex architectural challenges where every millisecond counts, building real-time, highly concurrent systems that process millions of requests per minute. In this position, your impact extends beyond feature implementation; you will take charge of major initiatives, architect core systems, and raise the bar for engineering excellence across the entire team.
Key Responsibilities:
Architectural Design & Execution: Lead the end-to-end design, development, and delivery of complex, scalable, and highly available backend services for our real-time ad exchange. Architect systems with a focus on long-term maintainability, ensuring that large-scale changes and migrations are predictable and low-risk.
Performance Optimization: Profile, tune, and optimize system performance to ensure ultra-low latency and high throughput under massive concurrent loads.
Technical Mentorship: Act as a technical multiplier by mentoring junior and mid-level engineers, conducting rigorous code reviews, shaping technical standards, and promoting software engineering best practices.
Cross-Functional Leadership: Collaborate directly with Product Managers, Data Scientists, and other engineering squads to translate complex business requirements into robust technical solutions and to understand the revenue journey, ensuring technical decisions directly support market competitiveness and platform growth.
Production Excellence: Own the lifecycle of your services in production. Implement advanced monitoring, alerting, and observability to troubleshoot and resolve deep-system production incidents.
Infrastructure Collaboration: Work closely with DevOps to optimize our deployment pipelines and cloud infrastructure (Kubernetes, GCP).
AI-Driven Engineering: Leverage modern AI coding assistants and agentic tools to accelerate development velocity, automate routine tasks, and free up cognitive load for complex architectural challenges.

Required Senior Software Engineer (Full Stack)
The Role:
We run on small, autonomous pods that own an outcome and a roadmap end to end. We hire engineers, not language specialists: we care that you can reason about systems, pick the right tool for the problem, and ship reliable software across the stack.
As a Senior Full Stack Engineer, you'll build the product surfaces that bring our marketplace together - campaign management and creation, unified dashboards and reporting, audience and asset tooling, and the APIs that connect demand to supply. You'll work across front-end, back-end, and data, contributing to the unified product architecture at the heart of our FY27 roadmap. The underlying platform requires heavy back-end engineering, low-latency optimization, and algorithmic problem-solving to manage massive throughput and real-time marketplace dynamics.
About the Senior Full Stack Engineer Role:
Design and build full-stack features: from responsive web front-ends to back-end services and APIs - that power campaign management, reporting, and marketplace optimization
Choose the right language and tools for each problem (we run a polyglot stack), and keep the front end lightweight by pushing complex computational logic, data modeling, and heavy algorithmic weight into robust, scalable back-end services
Build and consume well-designed APIs that integrate DT products into a unified architecture rather than isolated silos
Own your services in production: testing, observability, performance, and on-call, treating quality as a whole-team responsibility
Collaborate directly with product leads and stakeholders, contributing to scoping, estimation, and technical decisions within your pod
Mentor teammates and raise engineering standards through code review, automation, and pragmatic architecture