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Senior Kubernetes Platform Engineer - AI Infrastructure
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$139k–$204k/yr
Senior+$3M raised
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Product Management Group Manager - (Data Product Owner, Data Governance, AWS, GenAI, Cloud Data Platform)
Dallas, Texas, United States · On-site
Senior+
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Full-time
professional certificate
Posted 8d ago
~40 hrs/week
Responsibilities
Lead complex, large-scale technology modernization programs from strategy through execution, focusing on GCP infrastructure, data, and AI/ML workstreams. Manage program governance, financial budgets, and cross-functional stakeholder relationships to ensure resilient and scalable delivery.
Requirements
Requires 7+ years of technical program management experience with a strong background in cloud modernization and infrastructure operations. Proficiency in Agile methodologies, financial forecasting, and executive-level stakeholder management is essential.
Full job 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 have been recognized by various market research firms, including Forrester and Gartner.
We are seeking a Technical Program Manager (TPM) to join our Consulting team. In this role, you will lead the cross-functional delivery of key customer-facing retail capabilities—specifically driving our Loyalty & Rewards Program and Buy Quantity (Volume/Tiered Pricing & Promotions) platforms.
The ideal candidate combines deep hands-on expertise in technical program governance, financial management, and Agile methodologies with a forward-thinking mindset—actively leveraging modern AI tools to maximize efficiency and program velocity.
Key Responsibilities
End-to-End Program Ownership: Lead technical planning, architecture alignment, execution, and launch for customer-facing loyalty and quantity-based pricing/promotion capabilities.
Buy Quantity Engine: Program manage technical features related to volume discounts, "Buy X Get Y" logic, tiered quantity rules, and cart-level promotional bundling across the shopping journey.
Loyalty Platform Scaling: Drive the integration and performance of points generation, rewards ledger systems, tier transitions, personalized offers, and redemption at checkout.
Cross-System Integration: Map dependencies across Customer Accounts, Checkout/Cart Services, Pricing & Promotion Engines, CRM, and POS/Store systems.
Architecture & Scalability: Partner with Principal Engineers and Enterprise Architects to ensure systems can handle high-concurrency peak events (e.g., Black Friday, flash sales) with minimal latency.
API & Service Delivery: Oversee technical deliverables for microservices and APIs powering the customer UI, ensuring seamless data flow between front-end interfaces and back-end ledgers.
Product & Business Synergy: Work closely with Product Managers to translate business requirements into technical epics, user stories, and acceptance criteria.
Data & Performance Tracking: Establish operational KPIs (e.g., checkout API latency, point redemption accuracy, cart evaluation throughput) and track post-launch system stability
Experience: 5+ years of experience as a TPM, Technical Product Manager, or Engineering Lead in Retail, E-commerce, or Consumer Tech.
Domain Expertise: Solid technical understanding of Loyalty/Rewards ecosystems (points ledgers, member tiers, dynamic perks) and Promotions/Cart Engines (Buy Qty, bulk pricing, rules-based discounts).
Technical Depth: Familiarity with microservices architecture, cloud-native platforms (AWS, Azure, or GCP), RESTful APIs, and event-driven architectures (e.g., Kafka).
Delivery Frameworks: Mastery of Agile/Scrum/Kanban methodologies and tooling (Jira, Confluence, Roadmunk).
Communication: Exceptional ability to communicate technical trade-offs to non-technical business partners and articulate business value to engineers.
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.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Related keywords
Technical Program ManagementGCPCloud ModernizationAIMachine LearningData EngineeringInfrastructure OperationsAgileJiraConfluenceSmartsheetRAID ManagementFinancial ManagementAOPVendor ManagementPMP
We are a global leader in AI and Analytics. We provide certainty to shape a better tomorrow.
Industry
Business Consulting and Services
Company size
5,001-10,000 employees
Founded
2011
Headquarters
Santa Clara, CA
LinkedIn followers
660,282
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale.
Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones.
If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.
Offices: 2350 Mission College Blvd, Ste# 495, Santa Clara, CA 95054, US · 111 Town Square Pl, Jersey City, New Jersey 07310, US · 36 Robinson Rd, Singapore, Singapore 068877, SG · 55 E Monroe, Suite 3800, Chicago, Illinois 60603, US · 5151 Headquarters Dr, Plano, Texas 75024, US
Machine LearningPredictive AnalyticsForecastingNatural Language ProcessingComputer VisionCloud Data Platform EngineeringData-as-a-serviceLean Data GovernanceModern BI & Data WarehousingAI/ML Ops
Based on 547 listings with disclosed salaries, most software jobs in Dallas, TX pay between $80k–$210k per year. Individual offers vary with seniority, company size, and specialization.
How many Software jobs are open in Dallas, TX right now?
There are currently 1,192 open software positions in Dallas, TX listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Software roles in Dallas, TX?
Companies currently hiring include Capgemini, Goldman Sachs, Check Point Software, Photon, PowerSchool, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Software jobs in Dallas, TX?
Yes — 603 of the 1192 open software positions offer remote or hybrid work (270 remote, 333 hybrid).
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Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.