NucleusTeq

Account Manager

• Own all existing accounts globally and be accountable for revenue retention, expansion, and organic growth.
• Drive new-logo acquisitions in partnership with Sales; co-own expansion and new-logo pipeline with the CRO.
• Own end-to-end customer lifecycle including Account Management and Delivery organizations (PMO/Engagement Management) to ensure outcomes are achieved on time, on budget, and at target margins.
• Standardize executive Success Plans per account and run EBR/QBR cadences; define health scoring and automate alerts.
• Own delivery governance (PMO): SOW hygiene, change control, risk/issue management, executive escalations, and ensure on-time/on-budget delivery and target margins.
• Build the Land→Adopt→Expand playbook linking value hypotheses to adoption milestones and commercial expansion.
• Instrument CRM/CS platforms with SLAs, handoffs, forecasting hygiene, and attribution rules; define regional operating rhythms.
• Recruit, mentor, and scale high-performing leaders; foster a customer-first, revenue-aware culture.

Senior Vice President, Customer Success, Account Management and Delivery

Sales

• Lead new-logo acquisition and expansion for NucleusTeq’s Data & AI services globally and build a high-performance sales organization
• Own end-to-end GTM execution: territory design, pipeline creation, partner co-sell, deal strategy, and forecasting
• Partner with product (NuoData) to craft combined services + platform value propositions
• Drive GTM planning: ICP/vertical focus (energy/utilities priority), coverage models, quotas, and capacity plans
• Create predictable new-logo engine: ABM, outbound, events, partner-led motions, and repeatable POV/POC plays with exit criteria tied to commercial next steps
• Activate hyperscaler co-sell and marketplace routes; onboard and enable SI/consulting partners and build joint solution plays
• Institutionalize MEDDICC and deal reviews; own pipeline hygiene, stage progression, win/loss insights, and pricing/margin guardrails
• Recruit, coach, and scale a team of Regional Directors, AEs, SDRs, Solution Consultants, and Partner Managers
• Personally lead top strategic pursuits, model territory planning, and set weekly operating rhythms and scorecards
• Report to CEO and travel ~30–40% for customers, field & partner events

Vice President of Sales

• Lead global Marketing and Alliances/Partnerships to drive revenue, product adoption, and brand leadership.
• Own category narrative and demand creation; build hyperscaler and SI programs end-to-end (from onboarding to co-sell).
• Partner tightly with Sales, Product, and Customer Success to hit growth targets and improve win rates.
• Marketing Leadership: Own positioning, messaging, and narrative for the NuoData platform and products; drive GTM & launches; plan and execute demand programs; create high-impact product marketing assets; produce sales enablement materials; define KPIs/OKRs and forecast pipeline.
• Alliances & Partnerships: Build Partner Program; establish co-sell motions with AWS/Azure/Google/OCI; onboard SIs/GSIs; run joint GTM campaigns; stand up PRM; coordinate Legal/Finance on agreements and compliance.
• Success Metrics: Drive marketing-sourced and partner-sourced pipeline, co-sell accepted opportunities, partner activation, YoY growth in SQLs/win rate/ACV, and brand share of voice.

Vice President, Marketing and Partnerships

Backend Engineer

• Design & Develop: Build and maintain scalable data platform frameworks leveraging Big Data technologies (Spark, Hadoop, Kafka, Hive, etc.) and GCP services (BigQuery, Dataflow, Pub/Sub, etc.).
• Data Pipeline Development: Develop, optimize, and manage batch and real-time data pipelines to support business intelligence, analytics, and AI/ML workloads.
• Java Development: Utilize Java to build efficient, high-performance data processing applications and frameworks.
• Cloud Architecture: Design and implement cloud-native data solutions on GCP, ensuring reliability, security, and cost efficiency.
• ETL & Data Integration: Work with structured and unstructured data sources, integrating data from multiple systems into a unified platform.
• Performance Tuning: Optimize data processing performance by fine-tuning Spark jobs, SQL queries, and distributed computing environments.
• Collaboration: Work closely with data scientists, analysts, and software engineers to deliver high-quality data solutions.
• Automation & Monitoring: Implement CI/CD pipelines for data workflows and set up monitoring solutions to track system health and performance.

Data Engineer, Java

Data Engineer

• Migrate dashboards/reports from Hadoop to GCP, including migrating Hive and Pig jobs to BigQuery/Spark
• Create data processing and modeling applications using programming languages and data engineering tools
• Ensure data consistency and accuracy through data validation and cleansing techniques
• Work with cross-functional teams to identify and address data-related issues
• Implement GCP and Airflow workflows
• Apply security and governance practices such as RBAC and data lineage

Data Engineer, GCP

Full-stack Engineer

• Develop and maintain front-end components using React.js, ensuring high performance and responsiveness.
• Design and implement scalable back-end services and APIs using Java and related frameworks.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Participate in code reviews and provide constructive feedback to ensure code quality and maintainability.
• Optimize applications for maximum speed and scalability.
• Troubleshoot and debug issues across the entire stack, from front-end to back-end.
• Stay updated with the latest technologies and industry trends, and propose innovative solutions to improve products.
• Work closely with UX/UI designers to implement designs and ensure a seamless user experience.
• Write clean, maintainable, and well-documented code.
• Contribute to the continuous improvement of development processes and practices.

Full Stack Developer

• Work under the guidance of senior Data Engineers to design, develop, and maintain applications and data pipelines.
• Collaborate with the development team to design and implement Cloud and Data applications using Python.
• Assist in the development of data pipelines for processing and analyzing large datasets.
• Support the integration of AWS/GCP services.
• Write clean, maintainable, and efficient code following best practices.
• Troubleshoot and debug applications and data processes.
• Assist in documenting system architecture and processes.

Data Engineer, Python

System Administrator

• Network Infrastructure Management: Install, configure, and maintain network devices such as routers, switches, and firewalls. Ensure optimal performance and security of the network infrastructure.
• Hardware Support: Oversee the installation, maintenance, and troubleshooting of computer hardware, including servers, workstations, and peripheral devices.
• Technical Support: Provide timely and effective support to end-users for network and hardware-related issues. Document and track incidents using ticketing systems.
• System Monitoring: Monitor network performance and hardware health, proactively identifying and resolving potential issues to minimize downtime.
• Collaboration: Work closely with the software development and IT teams to ensure infrastructure aligns with application requirements and performance standards.
• Documentation: Maintain detailed records of network configurations, hardware inventories, and support activities.
• Training & Mentorship: Assist in training junior IT staff and end-users on best practices for hardware and network usage.

System Administrator / Operations Associate

Frontend Engineer

• Performs hands-on architecture, design, and development of systems.
• Identifying opportunities for adopting new technologies.
• Work with Staff Engineer to define solution requirements and technical implementation approach.
• Drive both high-level and detailed technical designs and conduct design reviews as needed.
• Actively participate in team and company-wide architecture and engineering discussions and forums.
• Analyse, design, program, debug, and modify software for use in local, networked, cloud-based or Internet-related environments.
• Responsible for health and quality of the code across the portfolio, including leadership over SCM, functional testing, and CI/CD tool integration.
• Optimize code for performance to ensure faster loading time and smooth user experiences.

Senior Frontend Engineer

• Develop and maintain backend services using Java and Spring Boot
• Design and implement microservices and multi-tier distributed architectures
• Build RESTful APIs and integrate with API gateways
• Implement authentication and authorization (OAuth, JWT, SSO) and JPA-based persistence
• Work with SQL/NoSQL databases and Hibernate/ORM
• Containerize applications with Docker and deploy on Kubernetes
• Collaborate on CI/CD pipelines and cloud deployments
• Participate in iterative design, prototyping, and SDLC processes

Lead Java Engineer

• Define solution architecture and work collaboratively across teams
• Improve and expand the platform and product (modern APIs, micro-services, third-party integrations, cloud infrastructure)
• Develop new features, reproduce/resolve bugs, and create documentation
• Partner with Infrastructure, Product and Design teams to deliver iteratively with bi-weekly releases
• Identify technical requirements in product meetings and assist business team with realistic project planning and feature development
• Translate product requirements into functional, maintainable, extensible software aligned with company objectives
• Own merchant-facing services/features from development through deployment and production monitoring
• Participate in design/code reviews and partner with Infrastructure Team to design data models for large-scale highly available services
• Work with QA to develop test plans/strategies
• Participate in a regular on-call rotation