Blend360

Business Analyst

• Provide ongoing analytics and reporting support for a card portfolio, particularly a new card program
• Develop understanding of portfolio performance, business objectives, and stakeholder needs
• Develop, refine, and maintain recurring business reports and dashboards
• Research data, analyze results, and translate findings into clear business insights
• Analyze portfolio performance, trends, and key drivers
• Present findings through reports, presentations, and business recommendations
• Partner with stakeholders to translate questions and reporting needs into actionable analysis
• Serve as a trusted thought partner and proactively identify trends, opportunities, and areas for improvement
• Evaluate and improve existing reports and reporting processes
• Simplify and streamline complex reporting into user-friendly formats
• Identify opportunities to reduce manual effort and improve reporting consistency
• Collaborate on reporting automation and process improvements
• Manage multiple requests and priorities while maintaining accuracy and responsiveness
• Communicate analytical findings to analytical and non-technical audiences
• Build stakeholder relationships and establish credibility through reliable follow-through
• Work independently and escalate issues when appropriate

Business Analyst, Card Portfolio Analytics

Chief Marketing Officer

• Partner with the Head of Global Marketing to drive marketing impact
• Shape Blend’s market narrative, category positioning, differentiation, and thought-leadership through-line
• Own messaging architecture for campaigns, events, sales enablement, executive communications, and partner materials
• Establish editorial standards and governance across regions, functions, and channels
• Review press releases, analyst responses, executive bylines, and launch narratives
• Define success metrics and develop reporting on business impact
• Own earned media, thought leadership, and executive visibility
• Guide analyst relations strategy with the Head of Global Marketing and senior leadership
• Turn client outcomes into credible proof for buyers, analysts, and media
• Translate company growth priorities into sequenced, resourced marketing work
• Own measurement frameworks and report to the executive team and board
• Guide investment decisions and tradeoffs
• Build enablement, client-facing materials, and proof to support sales and client business units
• Align events and partner motions with target accounts and the central storyline
• Lead and grow marketers across communications, content, design, and enablement
• Coach senior contributors and managers, set performance expectations, and build a talent bench
• Improve operating consistency and knowledge reuse across global teams
• Run the cadence that aligns and engages a distributed global team
• Advance Blend’s AI-native operating model

Senior Director, Marketing Strategy

Business Development Rep

• Deepen client relationships through the sell-in and delivery of marketing services
• Support merchants, cobrand partners, and payment ecosystem stakeholders
• Partner with Account Executives and the U.S. Client Marketing team to identify business development opportunities
• Deliver strategic thought leadership and proposals with agency and internal subject-matter-expert collaboration
• Scope projects, timelines, and deliverables
• Synthesize past projects, performance, and insights into standardized marketing materials and PowerPoint content
• Apply data-driven marketing recommendations using data and industry research tools
• Present marketing best practices and customer insights to clients
• Lead input to project kick-offs with Marketing’s Delivery team
• Monitor project progression, performance, deviations, and challenges
• Participate in final project delivery and results/performance monitoring to demonstrate ROI and value
• Prioritize work across multiple projects, deliverables, and stakeholders
• Manage third-party partners supporting creative, strategy, or go-to-market activities
• Collaborate with analytics, technology, sales, product, media, legal, finance, marketing, and regional teams
• Manage ad hoc requests from clients, account executives, senior leadership, finance, and audit
• Support budget forecasting and contract development and management
• Develop and deliver B2C and B2B marketing programs and advisory services to grow client business and drive incremental revenue

Business Development Manager

Full-stack Engineer

• Own architecture and delivery across multiple workstreams for Intelligent Applications
• Define build approaches, templates, standards, and quality gates for forward deployed engagements
• Mentor and guide multiple engineers
• Lead UI, API, and data streams with sequencing, risk management, and integration plans
• Define reference architectures and standards for SOLID/MVC boundaries, error handling, testing, observability, and security
• Drive performance and data architecture decisions, including SQL/query patterns, indexing strategy, and data contracts
• Create reusable accelerators such as scaffolds, templates, spec/context packages, PR checklists, CI quality gates, LLM/RAG reference modules, and evaluation scaffolding
• Partner with data teams using Databricks or Snowflake for analytics/ML adjacency
• Operationalize CI/CD and containerization standards, including pipeline guardrails, environment parity, container-first development workflows, and release verification
• Coach senior and mid-level engineers to improve team throughput and quality
• Partner with leadership and clients to quantify impact and adoption
• Establish or strengthen standards and reusable assets that improve delivery velocity
• Lead a multi-stream delivery track with strong quality and stakeholder trust
• Reduce recurring issues through systemic fixes, tests, observability, and templates

Full Stack Developer

Data Scientist

• Analyze campaign and marketing data to identify trends, patterns, opportunities, and performance drivers
• Develop and maintain data analyses using Python and SQL to support business and marketing initiatives
• Define, monitor, and analyze key performance metrics and campaign KPIs
• Support A/B testing and experimentation, including test design, analysis, and interpretation of results
• Work with large and complex datasets to extract meaningful business insights
• Collaborate with marketing and business stakeholders to understand analytical needs and translate them into actionable solutions
• Build and maintain analytical reports and dashboards, leveraging tools such as Tableau when applicable
• Communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders
• Take ownership of analytical initiatives from problem definition through analysis and delivery
• Apply strong statistical and analytical thinking to evaluate campaign performance and support business decisions
• Work closely with a challenging client in the hospitality industry
• Support data-driven decision-making and campaign-related initiatives

Lead Data Scientist

AI Engineer

• Lead project delivery end to end with governance, stakeholder communication, and accountability for outcomes
• Build and mentor a high-performing AI engineering team
• Establish technical standards and a culture of quality and pragmatism
• Own proposals and new business initiatives
• Define technical feasibility and communicate risks and tradeoffs to clients
• Define appropriate AI system scope and set realistic expectations
• Conduct technical reviews and architectural assessments
• Guide design and delivery of production-ready RAG systems, agentic frameworks, and LLM-powered solutions
• Lead advanced prompt engineering, including instruction design, few-shot sets, structured outputs, and tool/agent prompts
• Run feasibility assessments across prompting, RAG, fine-tuning, and classical ML
• Mentor engineers on AI system design and production deployment
• Design evaluation frameworks, including LLM-as-a-judge, recall@k, precision@k, and go/no-go gates
• Lead structured experiments across prompts, retrievers, chunking strategies, and models
• Establish practices for identifying and categorising model failures
• Set AI production reliability standards
• Build scalable inference infrastructure and CI/CD pipelines
• Automate the MLOps/LLMOps lifecycle, including tracking, versioning, deployment, monitoring, and retraining
• Design APIs, microservices, and orchestration layers for latency, cost, and reliability
• Lead infrastructure decisions balancing technical excellence and business efficiency

Senior AI Engineer

Product Specialist

• Train with the client’s team on commercial card products, the VSCE platform, implementation processes, workflow tools, and required procedures
• Partner with Commercial Card Sales and business clients during kickoff and ongoing meetings to define program setup requirements, documentation, and implementation needs
• Perform program setup, data entry, and validation in commercial card applications
• Document implementation progress and updates in designated workflow tools
• Validate documentation, authorizations, approvals, and implementation inputs
• Follow up with Sales when information is incomplete or inaccurate
• Coordinate file specifications, file testing, customer communications, and setup walkthroughs
• Track and drive implementations through completion
• Resolve or escalate implementation issues
• Support transition to Client Services after implementation

Commercial Card Implementation Product Specialist

Director

• Serve as the primary technical liaison between enterprise client teams, Sales, and Latis product and technical experts
• Partner with Sales to understand client challenges and solution data monetization products, capabilities, and data against active sales opportunities
• Lead technical discovery and solutioning conversations with prospective and existing enterprise partners
• Participate in and support senior-level client and partner calls, providing technical expertise and helping move opportunities forward
• Translate complex technical capabilities into clear, partner-ready solutions, stories, and recommendations
• Coordinate across Product, Testing, Integrations, Identity, Data, and other subject-matter experts
• Own sales and partner enablement materials, including FAQs, training content, technical documentation, match-test results, and solution summaries
• Help sales teams position data monetization capabilities and navigate enterprise client conversations
• Ensure proposed solutions are technically sound, documented, and aligned with deliverable data monetization capabilities
• Identify recurring client questions, objections, and technical needs to improve documentation, enablement, and the sales motion
• Bring structure and clarity to complex opportunities with evolving requirements, stakeholders, and technical considerations
• Act as a trusted technical advisor throughout the sales and solutioning lifecycle

Senior Director, Ad Tech Solutions

Marketing

• Create and maintain sales enablement materials, presentations, one-pagers, training resources, and other frontline sales materials
• Develop educational content translating new offerings and complex marketing solutions into clear, actionable messaging
• Support business development presentations, executive-level decks, and value proposition materials
• Prepare sales teams for new product launches, capabilities, and service offerings
• Develop and organize training materials for positioning and selling new solutions
• Own projects from initiation through completion
• Manage multiple initiatives, project plans, milestones, risks, dependencies, and roadblocks
• Collaborate with cross-functional teams and facilitate stakeholder communication and follow-up
• Support development and commercialization of marketing capabilities, products, and service offerings
• Coordinate internal review, approval, governance, and readiness processes
• Support launches of new marketing solutions and develop repeatable enablement processes and frameworks
• Support customer acquisition, engagement, retention, and lifecycle marketing initiatives
• Prepare leadership updates, presentations, and progress reports
• Present project updates and recommendations to leadership
• Respond to ad hoc requests and shifting business needs
• Build relationships across marketing, sales, product, risk, legal, creative, analytics, and partner teams
• Leverage AI-enabled productivity tools such as Microsoft Copilot to improve workflows

Marketing Enablement Manager

• Define the approach and technical requirements for APIs, Model Context Protocol (MCP), and data-share integration points
• Lead delivery of integration capabilities alongside engineering
• Author and maintain comprehensive integration documentation for internal teams and external partners
• Own ongoing maintenance and issue resolution for live integrations
• Set standards for integration reliability and responsiveness
• Represent platform integration capabilities in technical conversations with partners
• Translate business needs into technical clarity
• Own the strategy, architecture, and execution of integrations into the platform’s Intelligence
• Support the build, delivery, and commercialization of a data monetization platform for a major telecommunications company

Ad Tech Lead – Integrations

• Analyze debit card payment transaction data to identify performance trends, customer behaviors, product issues, and growth opportunities
• Develop and maintain dashboards, reporting tools, and analytical infrastructure used to monitor debit card performance
• Define KPIs and success metrics across customer acquisition, activation, engagement, retention, transaction frequency, and card usage
• Use SQL to extract, combine, validate, and analyze complex transactional and customer data
• Translate analytical findings into clear business stories and actionable product recommendations
• Identify performance gaps and estimate the potential business impact of proposed improvements
• Recommend and prioritize strategies that increase debit card adoption, engagement, and usage
• Support the development and execution of the debit card product enhancement roadmap
• Present findings, recommendations, and performance updates to product leaders and business stakeholders
• Partner with product, marketing, sales, operations, analytics, and issuer stakeholders
• Monitor debit card industry trends, competitor activity, regulations, emerging payment technologies, and consumer behavior
• Contribute card and payments industry knowledge to product innovation and differentiation initiatives

Business Analyst, Debit Card

Data Engineer

• Design and build scalable backend systems using Java
• Lead architecture and implementation of distributed systems across complex multi-service environments
• Ensure reliability, scalability and performance for large-scale data processing systems
• Develop and optimize concurrent and multi-threaded applications
• Build and maintain big data pipelines and infrastructure for high-volume ingestion, processing and storage
• Manage Kubernetes containerized workloads, deployment strategies, scaling policies and resource management
• Mentor junior and mid-level engineers on backend best practices, system design and performance optimization
• Collaborate with cross-functional teams on service contracts, APIs and integration patterns
• Implement observability and monitoring solutions
• Support production deployments and troubleshoot complex issues
• Drive continuous improvement initiatives

Lead Backend Data Engineer

• Design and build scalable backend systems using Java
• Lead the architecture and implementation of distributed systems across complex multi-service environments handling large-scale data processing
• Develop and optimize concurrent and multi-threaded applications
• Build and maintain big data pipelines and infrastructure for high-volume data ingestion, processing, and storage
• Manage containerized workloads using Kubernetes, including deployment strategies, scaling policies, and resource management
• Mentor junior and mid-level engineers on backend best practices, system design, and performance optimization
• Collaborate with cross-functional teams to define service contracts, APIs, and integration patterns
• Implement observability and monitoring solutions
• Support production deployments, troubleshoot complex issues, and drive continuous improvement initiatives