Accellor

Client Partner

• Own full P&L responsibility for assigned enterprise accounts with proven experience of nurturing and growing the account over multiple years.
• Drive revenue growth, operating margin performance, and long-term account profitability.
• Lead forecasting, pipeline development, and strategic account planning.
• Monitor and improve project margins through disciplined governance and delivery oversight.
• Conduct regular financial and operational reviews with delivery, finance, and executive leadership teams.
• Identify, qualify, and close new, renewal, and expansion opportunities across AI, data, cloud, and digital engineering portfolios.
• Develop and execute multi-year account growth strategies aligned to client business priorities.
• Leverage deep industry networks to expand executive relationships and uncover transformation initiatives.
• Lead complex deal cycles, including executive presentations, proposal strategy, and commercial negotiations.
• Build and sustain strong CxO, EVP, SVP, and VP-level relationships.
• Serve as a trusted advisor on digital strategy, AI adoption, and enterprise modernization.
• Navigate matrixed client organizations to align stakeholders and drive consensus.
• Ensure flawless execution across all service lines within the account.
• Partner closely with practice and delivery leaders to maintain high-quality outcomes.
• Lead quarterly business reviews (QBRs) and executive steering committees.
• Drive innovation agendas and identify opportunities for continuous improvement.

Sales

• Design and configure scalable promotions frameworks including:
• Coupons, vouchers, promo codes
• Flash discounts and bundles
• Cashback and referral incentives
• Define eligibility logic, stacking rules, validation workflows, and redemption orchestration.
• Partner with marketing and product teams to enable campaign-driven and personalized offers.
• Establish governance standards for lifecycle management of promotions.
• Design and implement loyalty programs including:
• Tier structures
• Points accrual/redemption logic
• Rewards and benefits configuration
• Gamification mechanics
• Configure segmentation, engagement triggers, and omnichannel loyalty experiences.
• Align loyalty journeys across mobile apps, web platforms, and CRM touchpoints.
• Define end-to-end solution architecture integrating Salesforce with:
• Mobile applications
• Identity providers (SSO)
• Billing and subscription platforms
• Partner ecosystems
• Design APIs and data flows for promotion validation, entitlement management, and loyalty transactions.
• Support partner incentive settlement and reporting workflows.
• Ensure scalable, secure, and high-performance system design.
• Lead discovery workshops to define roadmap priorities and translate business strategy into scalable Salesforce solutions.
• Partner with marketing, product, engineering, and operations stakeholders.
• Align customer acquisition, retention, and engagement strategies with technical execution.
• Provide architectural and functional leadership across implementation phases.
• Produce architecture diagrams, sequence flows, and technical documentation.
• Support QA, UAT, deployment planning, and production rollout.
• Define standards for performance, security, and anti-abuse logic.

Salesforce Promotions Engine – Loyalty Management Architect

Backend Engineer

• Design, develop, and maintain high-performance, modular, and scalable Java applications using Spring Boot 3.4.x.
• Architect and implement cloud-native solutions, ensuring best practices for distributed systems, reliability, maintainability, and observability.
• Integrate observability into applications, including metrics collection, distributed tracing, structured logging, and proactive monitoring.
• Collaborate with cross-functional teams to deliver robust RESTful APIs and microservices.
• Optimize application performance, memory usage, and reliability.
• Lead and mentor junior engineers, performing code reviews and setting engineering best practices.
• Integrate and utilize AI coding assistants (such as GitHub Copilot or similar tools) to accelerate development and improve code quality.
• Contribute to the evolution of our architecture and technology stack with a focus on modern Java, modularization, cloud technologies, and observability.
• Ensure security, compliance, and observability of all deployed services.
• Participate in Agile development processes, including planning, estimation, and retrospectives.

Senior Java Developer

AI Engineer

• Design and implement production-grade agentic AI systems using frameworks such as LangChain, LangGraph, and other open-source LLM orchestration tools
• Build multi-agent workflows with memory, tool use, reasoning chains, and autonomous decision-making
• Develop RAG (Retrieval-Augmented Generation) systems integrated with marketing data sources
• Implement evaluation, guardrails, observability, and continuous improvement loops
• Architect scalable AI systems using AWS services
• Deploy and manage AI agents in secure, production cloud environments
• Implement CI/CD and MLOps best practices for model lifecycle management
• Build AI-driven solutions for:
• Campaign content generation
• Customer segmentation and targeting
• Conversational marketing agents
• Lead qualification agents
• Performance analytics automation
• Integrate AI agents with CRM, CDP, marketing automation, and analytics platforms
• Collaborate with marketing stakeholders to translate business needs into AI-driven workflows
• Provide technical leadership and architecture direction for AI initiatives
• Mentor engineers and establish engineering standards for AI systems
• Define best practices around prompt engineering, model selection, safety, and responsible AI
• Drive evaluation frameworks for LLM accuracy, cost optimization, and performance

Lead AI Engineer

Data Engineer

• Design, build, and maintain scalable, secure, and high-performance data pipelines in AWS
• Architect and optimize Snowflake data warehouse environments
• Develop and maintain ETL/ELT workflows for structured and semi-structured data
• Implement data modeling best practices (dimensional modeling, star/snowflake schemas)
• Ensure data quality, governance, lineage, and observability
• Optimize performance and cost efficiency across AWS and Snowflake environments
• Collaborate with analytics, data science, and business teams to translate requirements into scalable data solutions
• Implement CI/CD processes for data workflows
• Mentor junior data engineers and establish engineering best practices

Senior Data Engineer

Product Manager

• Own and manage the product backlog for data, analytics, and AI initiatives
• Define user stories, acceptance criteria, and measurable business outcomes
• Lead sprint planning, backlog grooming, and prioritization sessions
• Collaborate with Scrum Masters and engineering teams to ensure timely delivery
• Balance technical debt, innovation, and business priorities
• Drive product strategy for data platforms, BI systems, and analytics workflows
• Partner with data engineering teams to define scalable pipeline and reporting capabilities
• Ensure data governance, quality, and performance standards are incorporated into product plans
• Translate analytics use cases into technical requirements for implementation
• Define and prioritize AI use cases leveraging **Agentic AI systems** (multi-agent workflows, RAG systems, LLM-powered automation)
• Collaborate with AI engineers to design and deploy AI agents that drive measurable business outcomes
• Define evaluation metrics for AI performance, accuracy, reliability, and cost efficiency
• Ensure responsible AI practices and guardrails are embedded in product requirements
• Act as the primary liaison between business stakeholders and technical teams
• Communicate product vision, roadmap, and delivery timelines
• Align AI and data initiatives to measurable ROI and operational impact

Product Owner

Product Designer

• - Design user interfaces for web and mobile products that are easy to use and visually appealing
• - Create wireframes, prototypes, and high-fidelity mockups
• - Conduct user research and usability testing to validate design decisions
• - Work directly with product managers and developers to turn ideas into finished products
• - Make design decisions independently without needing constant oversight
• - Deliver design work on tight deadlines while maintaining quality
• - Present and explain your design choices to stakeholders
• - Iterate quickly based on feedback and testing results
• - Maintain design systems and ensure consistency across all products

Senior UI/UX Designer

• Develop and maintain robust data pipelines to collect, transform, and process large datasets from various sources, ensuring timely and accurate delivery of data for analytics and reporting.
• Work with the Lead Engineer to automate business processes, automate the movement of data within the organization, and orchestrate the exchange of data with external partners.
• Collaborate with other department managers and business leaders to complete organizational goals and strategic priorities and support critical processes.
• Optimize data architecture and performance by leveraging modern technologies and by implementing performance-tuning strategies for databases, procedures, and functions.
• Automate data workflows to improve efficiency and scalability, while ensuring data integrity, hygiene, and cost efficiency.
• Work closely with business stakeholders to gather requirements, translate them into technical specifications, and deliver solutions within project timelines.
• Troubleshoot and resolve data and reporting issues, driving continuous improvement in analytic capabilities.

Senior Full-Stack Engineer, React, Node, Java

• Assess current sales workflows, pipelines, and handoff points to identify gaps, bottlenecks, and inefficiencies
• Design scalable, repeatable sales processes aligned with business goals and buyer journeys
• Define clear stages, activities, success criteria, and KPIs across the sales lifecycle
• Collaborate with sales leadership, account executives, SDRs, marketing, and operations teams
• Facilitate workshops and working sessions to document current-state and future-state processes
• Act as a trusted advisor to leaders on sales effectiveness and operational improvements
• Translate sales process requirements into CRM configurations (e.g., Salesforce, HubSpot)
• Partner with RevOps, IT, or external vendors to implement system enhancements
• Ensure tools, dashboards, and reporting support the defined sales process
• Develop documentation, playbooks, and training materials to support adoption
• Support onboarding and ongoing enablement tied to updated sales processes
• Drive change management by aligning teams, reinforcing best practices, and measuring adoption
• Establish metrics to track pipeline health, conversion rates, velocity, and forecast accuracy
• Analyze performance data and recommend ongoing refinements
• Stay current on sales methodologies, tools, and industry best practices

Sales Process Consultant

• Design, develop, and maintain scalable, high-performance microservices using Java (version 21+) and Spring Boot (3.4.x) to power AI-enabled applications.
• Contribute to the architecture and implementation of applied AI solutions across enterprise workflows including automation, document intelligence, decision support, and intelligent assistants.
• Build and integrate AI agents and agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic using Java-based AI frameworks.
• Implement Retrieval-Augmented Generation (RAG) patterns, Model Context Protocol (MCP) integrations, and agent skills to enhance AI application capabilities.
• Develop systems that meet high standards for scalability, resilience, performance, and availability in production environments.
• Leverage knowledge graphs and vector databases to enhance reasoning, entity relationships, and context retrieval in AI workflows.
• Collaborate with product, engineering, operations, and analytics partners to translate business needs into technical designs and deliver scalable AI solutions.
• Participate in code reviews, provide constructive feedback, and help junior engineers develop AI and agentic workflow skills.
• Drive continuous improvement by exploring new models, frameworks, and reasoning techniques and applying them to real-world challenges.
• Utilize AI-assisted development tools (e.g., Claude, Cursor, Codex) to accelerate development and improve engineering productivity.
• Contribute to engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems.

Senior Engineer – Applied AI, Java

• Design, develop, and maintain scalable, high-performance, and modular microservices using Java (version 21+) and Spring Boot (3.4.x).
• Collaborate with Enterprise Architects and Product Managers to define technical roadmaps and architectural blueprints.
• Build and integrate AI-powered features, focusing on Generative AI solutions.
• Partner with ML and Data Science teams to productionize AI models and support cutting-edge use cases.
• Provide technical leadership and mentorship for engineering teams; establish best practices for code quality, security, testing, and DevOps.
• Review code, coach engineers, and foster an inclusive, learning-rich environment.
• Champion innovation, stay abreast of technology trends, and drive continuous improvement in engineering processes, observability, and automation

Staff Engineer – Applied AI, Java

• Develop and maintain robust data pipelines to collect, transform, and process large datasets from various sources, ensuring timely and accurate delivery of data for analytics and reporting.
• Strong experience in performance tuning databases, procedures, and functions, with a focus on optimizing data architecture, scalability, and cost savings.
• Pipeline Development: Design and implement scalable data integration pipelines using Azure Data Factory (ADF) and Azure Databricks.
• Data Modeling: Create and maintain complex data models in Azure Synapse Analytics and Azure SQL Database to support business intelligence needs
• Work with the Lead Engineer to automate business processes, automate the movement of data within the organization, and orchestrate the exchange of data with external partners.
• Collaborate with other department managers and business leaders to complete organizational goals and strategic priorities and support critical processes.
• Optimize data architecture and performance by leveraging modern technologies and by implementing performance-tuning strategies for databases, procedures, and functions.
• Automate data workflows to improve efficiency and scalability, while ensuring data integrity, hygiene, and cost efficiency.
• Work closely with business stakeholders to gather requirements, translate them into technical specifications, and deliver solutions within project timelines.
• Troubleshoot and resolve data and reporting issues, driving continuous improvement in analytic capabilities.