• Assess the current Martech ecosystem, including platforms, interfaces, dependencies, and data flows. • Document current-state and target-state architecture for Martech consolidation initiatives. • Identify duplication, redundancy, integration gaps, and rationalization opportunities across tools and platforms. • Define unified data and business process flows across the ecosystem. • Define integration approaches, interface patterns, and solution design recommendations aligned with enterprise standards, including resilience, failover, and risk considerations. • Develop recommendations for consolidating overlapping applications into a simplified and scalable future-state landscape that supports AI-driven initiatives. • Work with business, product, engineering, security, and operations stakeholders to translate requirements into practical architecture decisions. • Contribute to implementation planning, sequencing, and governance for consolidation workstreams. • Produce clear architecture documentation, decision logs, and dependency views to support execution teams.

Role Description We are looking for a Martech Solution/Enterprise Architect who will provide hands-on architecture and integration support to simplify the Martech estate, reduce tool overlap, improve interoperability, and strengthen alignment between business priorities, data flows, and platform strategy. The ideal candidate will combine architecture depth with practical delivery experience. These roles will help assess the current marketing technology landscape, define target-state architecture, support integration planning, and enable faster execution of consolidation and rationalization of AI driven initiatives. - Assess the current Martech ecosystem, including platforms, interfaces, dependencies, and data flows. - Document current-state and target-state architecture for Martech consolidation initiatives. - Identify duplication, redundancy, integration gaps, and rationalization opportunities across tools and platforms. - Define unified data and business process flows across the ecosystem. - Define integration approaches, interface patterns, and solution design recommendations aligned with enterprise standards, including resilience, failover, and risk considerations. - Develop recommendations for consolidating overlapping applications into a simplified and scalable future-state landscape that supports AI-driven initiatives. - Work with business, product, engineering, security, and operations stakeholders to translate requirements into practical architecture decisions. - Contribute to implementation planning, sequencing, and governance for consolidation workstreams. - Produce clear architecture documentation, decision logs, and dependency views to support execution teams. Qualifications - Strong experience in enterprise architecture, solution architecture, or systems integration roles. - Demonstrated experience supporting platform consolidation, transformation, or rationalization programs. - Working knowledge of Martech ecosystems, customer data flows, marketing automation, digital experience platforms, APIs, and integration patterns. - Ability to work effectively across technical and business teams and communicate clearly with multiple stakeholder groups. - Experience producing architecture artifacts, integration documentation, and implementation guidance. Benefits - Significant career development opportunities exist as the company grows. - The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Company Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

Role Description We are seeking an experienced OCI Solutions Architect to architect, deploy, and operate large-scale, secure, and resilient cloud environments on Oracle’s next-generation public cloud. In this role you will own the full OCI engineering lifecycle, from landing-zone design and infrastructure-as-code, through workload migration and ongoing operations, including cost optimization and observability. The ideal candidate will combine deep technical knowledge of OCI services with strong DevOps and automation fundamentals, and will partner with database, application, and security teams to deliver well-engineered cloud platforms that support mission-critical Oracle and non-Oracle workloads. Key Responsibilities - Architect, deploy, and operate enterprise-grade OCI landing zones, compartments, and tenancy structures aligned with internal governance and compliance standards. - Design and implement OCI networking topologies, including VCNs, subnets, gateways, FastConnect, IPSec VPN, and DRG-based hub-and-spoke architectures. - Build and maintain OCI infrastructure-as-code using Terraform and OCI Resource Manager, with version control, peer review, and automated validation. - Implement IAM policies, federation with corporate identity providers, and strong RBAC patterns using OCI Identity Domains. - Design and operate OCI compute (VMs, bare-metal, OKE for Kubernetes) and storage services (Object, Block, File, Archive) optimized for workload patterns. - Operate OCI database services, including Autonomous Database, Exadata Cloud, MySQL HeatWave, and Base Database, in close partnership with DBA teams. - Build CI/CD pipelines on OCI DevOps service or external platforms (Jenkins, GitHub Actions) for both infrastructure and applications. - Implement observability using OCI Monitoring, Logging, APM, and integrations with third-party observability stacks. - Drive ongoing cost optimization through right-sizing, lifecycle management, and architectural simplification. - Design disaster-recovery and business-continuity solutions across OCI regions and availability domains. - Strengthen security posture using OCI Cloud Guard, Security Zones, Vault, and Data Safe, and lead remediation of findings. - Advise application development teams on OCI-native design patterns and best practices. - Develop automation tooling in Python, Bash, and Terraform to reduce operational toil. - Mentor junior engineers and contribute to internal cloud communities of practice. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of cloud engineering experience, with strong hands-on time on OCI. - Production-level experience with infrastructure-as-code using Terraform. - Solid experience with OCI compute, networking, storage, identity, and database services. - Hands-on experience with Oracle Container Engine for Kubernetes (OKE). - Experience with CI/CD pipelines for cloud workloads. - Strong scripting skills in Python and Bash. - Deep understanding of cloud security, IAM, and compliance requirements. - Experience with observability tooling and incident response. - Excellent troubleshooting, communication, and documentation skills. Preferred Qualifications - Oracle Cloud Infrastructure Architect Professional certification. - Experience operating Oracle Exadata Cloud or Autonomous Database at scale. - Exposure to multi-cloud architectures spanning OCI and AWS/Azure/GCP. - Familiarity with FinOps practices on OCI. - Experience operating regulated workloads on OCI. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com . Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

Role Description A Solutions Engineer at DigitalGenius works in post-sales, partnering closely with Product and Customer Success Managers (CSMs) to design, implement, and optimize AI-driven customer service solutions for our clients. You are the technical owner of customer implementations, ensuring every solution is scalable, secure, high-performance, and aligned with both business goals and our platform's capabilities. You'll spend your time turning messy real-world e-commerce problems into reliable AI-powered automations: - Designing flows - Wiring up integrations - Writing Python where the platform stops - Prompting and evaluating LLMs - Continuously raising the bar on what our AI agents can resolve autonomously Key Responsibilities - Solution Design & Implementation - Translate business requirements into scalable technical solutions on the DigitalGenius platform - Configure workflows, AI agents, integrations, and automation logic for complex e-commerce use cases - Design and implement APIs and third-party integrations (OMS, carriers, Helpdesk, etc.) - Prompt, tune, and evaluate LLM-powered components — classifications, extractions, guardrails, and generative replies - Technical Ownership (Post-Sales) - Lead new use case implementation projects - Ensure timely, high-quality launches with measurable automation impact - Troubleshoot complex technical challenges across systems, data, and AI behavior - Customer Collaboration - Partner with CSMs to align technical delivery with customer outcomes and ROI - Advise customers on best practices, scalability, AI strategy, and optimization - Support strategic expansions, new channels, and advanced use cases - Product Partnership - Provide structured feedback to Product based on what you see in real implementations - Identify feature and AI capability gaps and contribute to roadmap discussions - Participate in beta testing, model evaluations, and product validation initiatives - Optimization & Innovation - Continuously improve automation performance, resolution rates, and AI accuracy - Proactively identify opportunities for process improvements — both for customers and internally - Contribute reusable assets, documentation, prompts, evaluation sets, and internal best practices - Use AI to automate your own work: build internal tools, scripts, and agents that make the SE team faster and better Qualifications - AI-first mindset. You're genuinely excited about LLMs and applied AI. - Automation / workflow mindset. You can translate business requirements into reliable flows. - Strong API + integration experience (building and debugging). - Python. Hands-on experience writing and shipping Python used by others. - Strong communication. You can explain technical concepts clearly to non-technical stakeholders. - Organization and project management. Strong organizational skills with the ability to manage workstreams. Preferred - Hands-on LLM experience. Prompting, classification, guardrails, evaluation, and tooling. - Low-code / workflow automation experience. Tools like Zapier, Make, Workato, etc. - E-commerce / OMS exposure (especially Shopify). - Customer service platforms. Zendesk, Salesforce Service Cloud, or similar. - SaaS delivery background. Implementations, solutions, or technical support in customer-facing environments. Benefits - Competitive Salary - Generous vacation time (25 days) + Birthday off - Environment to develop your skills without bureaucracy or red tape - Monthly fitness stipend of $210 (Lifestyle wallet) from day 1 - Ongoing subscription to Mental Health Support Platform - Paid Claude/Cursor subscription — because we want you using the best AI tools every day - Learning budget to invest in courses, books, conferences, and certifications