Education Requirements:

• BS, MS, or PhD in EE/CS or related field (or equivalent experience)

Experience Requirements:

• 12+ overall years of relevant experience

• 5 yrs of managing systems/platform software teams, ideally in server RAS, firmware, telemetry, or data center solutions

Other Requirements:

• Strong knowledge of DMTF/PLDM for OOB telemetry collection, time series databases (e.g., InfluxDB, Prometheus) and REST APIs (Redfish)

• Deep understanding of Server and firmware architecture and optimization for low-latency APIs

• Proven track record of delivering scalable server products and telemetry solutions

• Experience with SCM (Git, Perforce) and project management tools (Jira)

• Excellent written and oral communication skills, strong work ethic, and commitment to teamwork

• Hands-on experience with x86/ARM system architecture and coding (C/C++, Python)

• Familiarity with Confidential Compute and notification systems

• Demonstrated ability to analyze algorithms for time/space complexity and system resource requirements

• You are a self-starter who loves to find creative solutions to complicated problems and hands on with coding

• Experience building and scaling telemetry collection and analysis engines

• Active contributor to Open Compute (OCP) and DMTF in relevant areas

• Proven leadership in delivering innovative platform telemetry solutions for large-scale AI infrastructure

Responsibilities:

• Lead Data Center Compute Telemetry & RAS: Own the end-to-end architecture and delivery for telemetry solutions, including fleet health monitoring, fault remediation, and data visualization at scale. Owning OOB telemetry solution and data validation for telemetry from each underlying device

• Build and Mentor a World-Class Team: Recruit, develop, and motivate a high-performing engineering team focused on platform telemetry, RAS and observability

• Process Optimization: Continuously improve software development processes for optimal productivity and quality

• Cross-Functional Collaboration: Work across teams to ensure seamless integration of telemetry solutions with platform firmware, server architecture, and data center management

• Product Ownership: Drive product life cycles with QA teams, ensuring robust testing, productization, and delivery

Education Requirements:

• MS in Electrical or Computer Engineering (or equivalent experience)

Experience Requirements:

• Minimum 5 years experience in Physical Design Engineering

Other Requirements:

• Familiar with aspects of chip design including Floor planning, Clock and Power distribution, Place and Route, Integration and Verification

• Strong background with hierarchical design approach, top-down design, budgeting, timing and physical convergence

• Familiar with various process related design issues including Design for Yield and Manufacturability, EM and IR closure and thermal management

• You'll need to have expertise and in-depth knowledge of industry standard EDA tools

• Proficiency in programming and scripting languages, such as, Perl, Python, and C++

Responsibilities:

• Developing physical design methodologies for implementation of graphics processors and SOCs

• Key responsibility includes developing unique and creative solutions to the state of the art physical design problems that are needed for NVIDIA chips

• Participate in developing flow and tool methodologies for chip floorplan, power and clock distribution, chip assembly and P&R, timing analysis and closure, power and noise analysis and back-end verification across multiple projects

Education Requirements:

• BSc or MSc or equivalent experience in electrical engineering

Other Requirements:

• Deep understanding of how to build and integrate systems with various technology components

• Knowledge and understanding of computing and networking systems

• A can-do attitude and high energy with leadership and excellent interpersonal skills and possess the ability to learn complex concepts in a fast pace environment

• Utmost passion for attention to details in design and a high focus on design quality

• Experience and love for system architecture, CPU/GPU/Memory/Storage/Networking

Responsibilities:

• Define the Network Adapter chip architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments). Work with related industry standards & customers on deploying your tech

• Collaborate with teams across teams (physical design, logic design, system software, firmware, applications)

• Work on proof of concepts and advance development projects

• Perform research and analysis for current and future architectures

• Craft product design specifications

Education Requirements:

• B.Sc. or equivalent experience in Computer Science and Engineering

Experience Requirements:

• 5+ years of hands-on experience in data science - must

Other Requirements:

• Expert-level proficiency in Python and its data manipulation and analysis libraries (e.g., NumPy, pandas, TensorFlow, PyTorch)

• Strong background in networking concepts and protocols – Significant advantage

• Proven experience in production-level software development, with a portfolio of deploying complex models and systems

• Ability to lead technical projects, balance multiple priorities, and meet tight deadlines

• Familiarity with network protocols, hardware, and infrastructure - Significant advantage

• Exude high energy and a positive attitude

• Stellar verbal and written communication skills

• Passionate about data science and implementation

• Have data science and GPU performance experience

• Want to make what was impossible possible!

Responsibilities:

• We expect you to conduct in-depth analysis of datasets, raise and validate hypotheses, extract significant features, and build, train, and deploy models on top of them

• Design and implement high-performance algorithms and data structures applicable to large-scale datasets and distributed processing. You will own the optimization and refinement of models to meet production-level performance and accuracy

• Collaborate with cross-functional teams to help define and execute the technical strategy for integrating AI-driven monitoring and optimization into our networking systems

• Build and test prototypes to demonstrate proof-of-concept and present technical findings to stakeholders and team leadership

• Analyze technical trade-offs in different solutions and design and implement robust systems for improving the throughput of analytics on large data streams

Benefits:

• Competitive compensation

• Remote flexibility

• Health & wellness

• Generous time off

• Learning & growth

Experience Requirements:

• Proven experience in SaaS or tech marketing

• Strong analytical and creative skills

• Excellent communicator and team player

• Results-driven and adaptable

Responsibilities:

• Develop and execute marketing strategies

• Manage digital campaigns and content

• Analyze performance and optimize for growth

• Collaborate with product and design teams

Benefits:

• Competitive compensation and performance bonus scheme

• Employee enablement, global team, trust and recognition culture

• Comprehensive health plans, flexible work, generous paid leaves

Benefits:

• Competitive compensation and performance bonus scheme

• Employee enablement, global team, trust and recognition culture

• Comprehensive health plans, flexible work, generous paid leaves

Benefits:

• Competitive compensation and performance bonus scheme

• Employee enablement, global team, trust and recognition culture

• Comprehensive health plans, flexible work, generous paid leaves

Benefits:

• Competitive compensation and performance bonus scheme

• Employee enablement, global team, trust and recognition culture

• Comprehensive health plans, flexible work, generous paid leaves

Benefits:

• Competitive compensation and performance bonus scheme

• Employee enablement, global team, trust and recognition culture

• Comprehensive health plans, flexible work, generous paid leaves

Benefits:

• Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.

• Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.

• Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.

• Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.

• Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.

Experience Requirements:

• 5+ years of experience in client-facing solution architecture, technical consulting, technical product management or implementation roles

• Deep understanding of cloud-native architectures and APIs (RESTful services, authentication standards, etc.)

• Proven experience integrating SaaS or AI-driven platforms into complex enterprise environments

• Familiarity with data pipelines, ETL tools, and financial systems integration

• Prior experience in fintech, banking, or highly regulated industries is a strong plus

Other Requirements:

• Skilled in navigating technical discussions with both engineers and executives

• Strong problem-solving mindset with an ability to manage multiple priorities in a fast-paced environment

• Excellent written and verbal communication skills

• Proficiency in one or more programming languages (NextJS, Typescript preferred)

• Hands-on experience with compliance-sensitive implementations (e.g., KYC/AML, credit decisioning workflows)

Responsibilities:

• Lead post-sales technical implementation for our AI-powered lending platform with major U.S. financial institutions

• Translate complex client needs into scalable, secure, and high-performance architectures

• Collaborate cross-functionally with Engineering, Product, and Risk to deliver seamless integrations

• Guide clients through API integrations, data mapping, and custom configurations

• Be the trusted technical advisor for clients, ensuring long-term success and satisfaction

Benefits:

• Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.

• Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.

• Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.

• Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.

• Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.

Experience Requirements:

• 4+ years of experience in software engineering

• Proven track record of translating complex technical concepts into clear business value propositions with measurable outcomes

• Entrepreneurial mindset with experience driving initiatives from concept to execution

• Solid understanding of modern programming languages and (AI) frameworks (e.g., Python, LangChain, Vercel AI-SDK, React, TypeScript, Next.js, etc.)

Other Requirements:

• A skillset at the intersection of software development, business strategy and customer engagement

• Strong problem-solving skills and a knack for innovative thinking

• Excellent communication skills and a collaborative team spirit

Responsibilities:

• Partner directly with customers to translate critical business requirements into technical solutions, engaging with customer executives to architect software that addresses their most pressing challenges in banking

• Drive high-stakes projects with CTO-level ownership, writing production-quality code while balancing multiple technical and business priorities across architecture, coding, and strategic planning

• Architect and build end-to-end systems integrating AI models, backend APIs, and web applications while owning complete technical solutions from design through production deployment

• Learn and drive engineering best practices

Benefits:

• Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.

• Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.

• Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.

• Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.

• Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.

Education Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)

Experience Requirements:

• 5+ years of software development experience, particularly in scalable backend and infrastructure systems (e.g., Rust, Node.js, Python, or Go), and modern deployment technologies like Docker, Kubernetes, and Helm.

• Strong experience with major cloud platforms (AWS, Azure, GCP) and their managed services for compute, storage, and networking.

• Proficiency in infrastructure as code tools (e.g., AWS CDK, Terraform, Pulumi) and CI/CD automation (e.g., GitHub Actions, Jenkins).

• Experience with building observability tooling including metrics collection, distributed tracing, logging systems, and monitoring dashboards.

• Experience with enterprise software features like permissions (RBAC), analytics, audit logs, notifications, self-serve onboarding, and provisioning.

Other Requirements:

• Proven ability to mentor and guide technical teams.

Responsibilities:

• Architect and enhance platform features including authentication, auditability, and enterprise integrations across the banking ecosystem.

• Build and maintain high-performance, developer-friendly infrastructure using containerization (Docker), orchestration (Kubernetes, Helm), and cloud-native services across AWS, Azure, and GCP.

• Improve reliability, scalability, and compliance for platform services like permissions management, admin reporting, and customizations

• Develop and optimize infrastructure as code (AWS CDK, Terraform) and CI/CD pipelines to automate deployments, ensuring high availability, disaster recovery, and efficient resource utilization.

• Collaborate with AI engineers to benchmark & integrate models into the core platform.

Benefits:

• Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.

• Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.

• Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.

• Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.

• Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.

Experience Requirements:

• 3+ years of management consulting experience at a leading firm (McKinsey, Bain, BCG, etc.) or strategic roles at high-growth tech companies

• Proven ability to structure complex operational challenges, build scalable processes, and drive execution in fast-paced startup environments

• Experience managing internal operations, team coordination, or chief of staff responsibilities at high-growth companies

• Background in fintech, banking, or lending industry

Other Requirements:

• Strong analytical skills with ability to work across both quantitative analysis and qualitative strategic thinking

• Exceptional communication skills and ability to coordinate across all levels of the organization, from individual contributors to executive leadership

• Previous founder's office, chief of staff, or CEO assistant experience at a scaling startup

• Experience building internal operations during rapid team growth (30+ to 200+ employees)

Responsibilities:

• Manage CEO priorities and special projects, ensuring critical initiatives stay on track while maintaining focus on core business objectives

• Drive cross-functional alignment and communication, breaking down silos between teams and ensuring everyone is working toward shared goals

• Own internal operations spanning executive team coordination and strategic planning processes

• Partner directly with the CEO on critical operational initiatives including team scaling and process optimization

• Lead internal projects that drive operational excellence, from implementing new systems to streamlining workflows across all teams

Benefits:

• Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.

• Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.

• Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.

• Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.

• Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.

Education Requirements:

• MBA from a top-tier program

Experience Requirements:

• 4+ years of management consulting experience at a leading firm (McKinsey, Bain, BCG, etc.) or project leadership experience at a top tech company

• Proven track record managing large-scale software development and / or implementation projects ($5M+)

• Industry experience in financial services

• Experience with AI-related projects

• Previous experience at a high-growth startup

Other Requirements:

• Strong cross-functional team leadership skills (business & engineering)

• Outstanding communication and presentation abilities

Responsibilities:

• Lead end-to-end implementations of our AI-powered loan origination platform at Tier 1 banks, working directly with C-suite executives, business unit and technology leaders

• Design and execute complex project strategies that navigate regulatory requirements, legacy system integrations, and organizational change management

• Build scalable implementation methodologies that accelerate our expansion across the banking industry

• Drive cross-functional collaboration between our engineering teams, bank stakeholders, and regulatory bodies

• Establish project management excellence that sets the standard for fintech-bank partnerships

Benefits:

• Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.

• Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.

• Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.

• Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.

• Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.

Education Requirements:

• Degree in Computer Science or experience as an engineer preferred

Experience Requirements:

• 4+ years of proven experience as a Product Manager or Product Lead in a fast-paced, tech-driven environment, preferably delivered customer-facing AI technology or financial service products.

• Familiarity with AI, machine learning, and/or financial services is highly desirable.

Other Requirements:

• Strategic Thinking: Demonstrated ability to think creatively, innovate, and challenge the status quo to develop unique, differentiated products.

• Cross-Functional Leadership: Excellent communication, collaboration, and influencing skills across diverse teams.

• Analytical Skills: Strong analytical and problem-solving abilities with a data-driven approach to decision-making.

• Adaptability: Ability to manage multiple priorities, pivot quickly, and thrive in a dynamic startup environment.

Responsibilities:

• Oversee the product development lifecycle from concept to release, ensuring alignment with Casca’s strategic goals.

• Define clear product roadmaps based on stakeholder input and user feedback.

• Drive product development with subject matter experts and designer partners.

• Champion user-centric design by ensuring products are intuitive, user-friendly, and meet the highest quality standards.

• Drive the product vision and strategy by thinking outside the box to deliver AI-native solutions that set new industry standards.

Benefits:

• Flexible Working: remote-first with flexibility for you to manage work and life as you need.

• Work from Anywhere: apply to work in another location for up to 3 months per calendar year.

• Conoce Mexico: a unique travel benefit for you to explore and visit new places across Mexico.

• Connection Budget: an annual budget to connect with the team IRL where and when possible.

• Learning Budget - Study leave and an annual budget for you to put towards your learning and development.

Experience Requirements:

• 1–2 years of sales or SDR experience under your belt, ideally in a SaaS or tech environment.

• Pro at outbound prospecting and know how to get a conversation started.

• Fluent in both English and Spanish, with stellar written and verbal communication skills.

• Know your way around HubSpot (or similar CRMs) and other sales automation tools.

• Organised, resilient, and comfortable in a quota-carrying environment.

Responsibilities:

• Prospecting into new accounts using outbound strategies like cold calling, email, and LinkedIn.

• Generating and qualifying outbound leads that are a perfect match for our ideal customer profile.

• Crafting personalised messages to creatively engage with decision-makers across a variety of industries.

• Collaborating with our Enterprise Sales Associates to ensure a smooth and successful handoff.

• Nurturing prospects and handling objections until they are ready to jump into a sales conversation.

Benefits:

• Flexible Working: remote-first across Australia or New Zealand with flexibility for you to manage work and life as you need

• Work from Anywhere: apply to work in another location for up to 3 months per calendar year.

• Connection Budget: an annual budget to connect with the team IRL where and when possible.

• Learning Budget: study leave and an annual budget for you to put towards your learning and development.

• Home Office Allowance: a contribution towards your set-up and a monthly allowance to support work from home costs.

Experience Requirements:

• 7+ years of product management experience, ideally in the tech space

• Hands-on experience building AI-powered products or features, especially in the generative or automation space.

• Speak tech fluently and are comfortable discussing architecture or reading code.

• Thrive in ambiguity, with a proven knack for delivering real customer impact against the odds.

• Master balancer, effortlessly juggling user needs, technical constraints, and commercial goals.

Responsibilities:

• Own the AI product playbook, translating ambitious strategic opportunities into clear, actionable roadmaps.

• Be the ultimate champion for our creatives, embedding deep customer understanding into every product decision you make.

• Define a crystal-clear product direction for our AI tools, connecting the team's daily hustle to our biggest goals.

• Lead the charge on cross-functional delivery, working hand-in-glove with Engineering and Design to ship high-quality work at pace.

• Dive in with our tech teams, confidently shaping solutions and exploring emerging technologies to unlock value.

Benefits:

• Flexible Working: remote-first across Australia or New Zealand with flexibility for you to manage work and life as you need

• Work from Anywhere: apply to work in another location for up to 3 months per calendar year.

• Connection Budget: an annual budget to connect with the team IRL where and when possible.

• Learning Budget: study leave and an annual budget for you to put towards your learning and development.

• Home Office Allowance: a contribution towards your set-up and a monthly allowance to support work from home costs.

Experience Requirements:

• Demonstrable history of successfully leading, mentoring, and scaling a high-performing engineering or data team.

• Broad, hands-on experience with the implementation, architecture, and maintenance of modern CDPs (e.g., Segment, Amplitude, Hightouch, Tealium).

• Deep technical knowledge of client-side and server-side tracking, tag management systems (e.g., Google Tag Manager, Tealium iQ), and analytics platforms (GA4, Amplitude, Mixpanel).

• Good working knowledge of global privacy and customer tracking legislation (GDPR, CCPA) and the technical solutions required to ensure continuous compliance.

• Solid grasp of core web technologies and data languages, including JavaScript, SQL, and Python fundamentals.

Responsibilities:

• Define and evolve the CDM team's long-term strategy, technical roadmap, and quarterly priorities.

• Define a holistic technical architecture that spans our entire customer data management space.

• Lead, grow and mentor a high performing team of engineers, with plans to scale based on business needs.

• Manage external vendors for critical platforms (including CDPs, tag-management systems, analytics and experimentation tools).

• Ensure effective prioritisation, execution, and delivery of complex, multi-stream data projects.

Benefits:

• Flexible Working: remote-first across Australia or New Zealand with flexibility for you to manage work and life as you need

• Work from Anywhere: apply to work in another location for up to 3 months per calendar year.

• Connection Budget: an annual budget to connect with the team IRL where and when possible.

• Learning Budget: study leave and an annual budget for you to put towards your learning and development.

• Home Office Allowance: a contribution towards your set-up and a monthly allowance to support work from home costs.

Experience Requirements:

• Likely 5 years of experience in data or software engineering, with a distinct focus on infrastructure, ingestion, and orchestration.

• High proficiency with Infrastructure as Code (Terraform) and cloud-native environments, specifically AWS.

• Hands-on experience using Airflow for orchestration and Python for building ingestion tools and automation.

• Strong comfort working with SQL in data warehouses such as Redshift or Snowflake, and familiarity with dbt.

• Proven experience operating production-grade data pipelines, encompassing both managed connectors and custom-coded solutions.

Responsibilities:

• Write high-quality, well-tested, and documented infrastructure code using Terraform.

• Build and maintain internal tooling, Docker images, and shared utilities for data workflows using Python and SQL.

• Utilise Git-based version control and CI/CD tooling (e.g., GitHub Actions, Terraform Cloud) to deliver platform changes.

• Own the end-to-end data ingestion layer, using tools like Fivetran and custom Python pipelines, from source systems to the warehouse.

• Configure and maintain Airflow DAGs, ensuring reliable scheduling, and contribute to the operation of cloud data warehouses like Redshift and Snowflake.