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Digital Integration Sales Consultant
About the Role
The Digital Integration Sales Consultant is a dynamic, results‑driven professional responsible for driving revenue growth by identifying, developing, and closing sales opportunities within the digital integration space. The role requires a strong track record in generating sales pipelines for technologies such as iPaaS, SaaS, API‑led integration, enterprise integration, cloud integration, and broker‑based tools. The consultant will leverage sales acumen, technical understanding, and a consultative approach to build strong client relationships, understand business challenges, and propose tailored integration solutions that deliver measurable value.
The Digital Integration Sales Consultant is responsible for driving revenue growth by identifying, developing, and closing sales opportunities within the digital integration space.
Responsibilities
Hunt for New Business
- Proactively prospect and generate new leads through networking, cold calling, and strategic account targeting.
- Use market research and industry insights to identify high‑potential clients and verticals.
Consultative Selling
- Act as a trusted advisor by conducting in‑depth discovery sessions to understand client pain points and integration needs.
- Collaborate with internal teams to design customized integration solutions aligned with client challenges.
Solution Evangelism
- Create and deliver compelling presentations, demos, and proposals that clearly articulate value propositions and ROI.
- Demonstrate strong product knowledge and awareness of the competitive landscape.
Sales Cycle Mastery
- Manage the full sales cycle from initial engagement to negotiation and closing.
- Maintain accurate sales forecasts, pipeline visibility, and consistently achieve or exceed quotas.
Internal Collaboration
- Build strong relationships with pre‑sales engineers, solution architects, and delivery teams to ensure seamless solution implementation.
Industry Acumen
- Stay updated on industry trends, emerging technologies, and best practices in digital integration, cloud platforms, and enterprise integration.
Qualifications
7+ years of proven sales success in technology, enterprise software, or integration solutions.
Required Skills
- Strong experience selling iPaaS, SaaS, API‑led integration, cloud integration, or enterprise integration platforms.
- Demonstrated ability to consistently meet or exceed sales targets.
- Strong technical aptitude with the ability to understand and explain complex integration concepts to non‑technical stakeholders.
- Excellent communication, presentation, and negotiation skills.
- Ability to build and maintain relationships with C‑level executives and key decision‑makers.
- Highly motivated self‑starter with a hunter mentality and passion for closing deals.
Preferred Skills
- Experience selling to enterprise‑level clients.
- Familiarity with cloud platforms such as AWS, Azure, and Google Cloud Platform.
- Understanding of integration technologies such as API gateways, ESB, message brokers, and event‑driven architectures.
- Experience working with pre‑sales and solution architecture teams.
- Willingness to travel to client locations as required.
Location: Oakland, GA or Alpharetta, GA(Hybrid)
Job Responsibility:
API Development (Spring Boot, Oracle, Azure):
· Developed and maintained RESTful Java APIs using Spring Boot for enterprise insurance applications.
· Integrated services with Oracle Database, ensuring high performance and scalability.
· Deployed applications on Microsoft Azure, leveraging cloud-native features for reliability and resilience.
· Applied Datadog for observability, implementing custom metrics, distributed tracing, and dashboards to improve monitoring and incident response.
· Collaborated cross-functionally with product managers and QA to deliver secure and efficient API services.
***No Third Parties***
***US Citizenship Required***
Genesis Consulting is seeking an experienced, forward-thinking TMS Implementation Specialist / Travel Business Analyst with a passion for growth and business transformation. The TMS Implementation Specialist / Travel Business Analyst will be responsible for the configuration, integration, testing, and deployment of the client’s automated, web-based Travel Management System (TMS). This Travel Business Analyst serves as the functional and technical liaison between business stakeholders, system vendors, and integration teams to ensure the solution aligns with operational, financial, and compliance requirements.
The Travel Business Analyst supports system implementation from requirements gathering through go-live and stabilization, ensuring seamless integration with the client’s existing financial management (FM), expense, ERP, monitoring, and reimbursement systems, as well as travel claim audit services and customer support operations.
Duties and Responsibilities:
Thie TMS Implementation Specialist / Travel Business Analyst is critical to ensuring successful implementation and integration of the client’s Travel Management System, delivering a secure, compliant, and fully integrated solution that supports efficient travel booking, monitoring, reimbursement processing, and traveler support services. Duties are Responsibilities include but may not be limited to:
System Configuration & Deployment:
- Configure the TMS to align with the client's travel policies, approval hierarchies, compliance controls, and reporting requirements.
- Support platform setup including user roles, workflows, booking configurations, and policy enforcement rules.
- Coordinate deployment activities, cutover planning, and post-go-live stabilization.
Systems Integration:
- Design and support integrations between the TMS and financial management (FM), expense, ERP, monitoring, and reimbursement systems using APIs and secure data interfaces.
- Collaborate with technical teams to map data fields, validate data flows, and ensure system interoperability.
- Troubleshoot integration issues and support resolution in coordination with vendors and internal IT teams.
Business Analysis & Requirements Management:
- Elicit, document, and validate functional and technical requirements from business stakeholders.
- Translate business requirements into system configuration specifications and integration design documentation.
- Conduct gap analyses and recommend process improvements aligned with best practices.
Testing & Quality Assurance:
- Develop and execute test plans, test scripts, and validation scenarios for system configuration and integrations.
- Lead workflow validation and manage User Acceptance Testing (UAT), including defect tracking and resolution.
- Ensure system readiness prior to production deployment.
Project & Change Management Support:
- Support project planning activities, milestones, and deliverables.
- Assist with stakeholder communications, training coordination, and change management initiatives.
- Develop user documentation and job aids to support adoption of the new system.
Minimum Qualifications/Experience:
- Minimum of three (3) years of experience with travel management systems, APIs, and system integrations.
- Minimum of three (3) years of combined experience in project management and change management.
- Familiarity with government travel policy / Federal Travel Regulations (FTR) compliance and exception management.
- Experience configuring and deploying web-based enterprise applications.
- Demonstrated experience integrating travel systems with financial management, expense, or ERP platforms.
- Experience leading or supporting User Acceptance Testing (UAT).
- Strong analytical, documentation, and stakeholder engagement skills.
- Experience in corporate or government travel environments preferred.
Preferred Competencies:
- Experience with SAP Concur.
- Working knowledge of API frameworks, secure data exchanges, and enterprise system integration methodologies.
- Strong understanding of travel policy compliance, workflow automation, and audit controls.
- Ability to bridge functional and technical teams effectively.
- Detail-oriented with strong problem-solving and organizational skills.
Minimum Education:
- Bachelor’s Degree in Computer Science, IT, or related field. Master’s Degree preferred.
Certifications:
- SAP Concur or Travel certifications preferred.
Other:
- U.S. Citizenship is required.
Job Title:
SAP Concur Configuration & Testing Consultant
Location:
Minneapolis, Charlotte, Chandler - Hybrid (3 days/week in office)
Contract Type:
12 months (possible extension) | Full-time (40 hrs/week)
Pay Rate: $60/hr to $65/hr
Role Summary:
Seeking an experienced SAP Concur consultant to lead configuration, integration, and testing for global Travel & Expense (T&E) deployments. This role focuses on advanced Concur setup, API integrations, and rigorous testing for multi-country rollouts.
Key Responsibilities:
- Support Configurations of SAP Concur modules: Expense, Budget, Request, Invoice, Cash Advance, Intelligence/Cognos
- Implement policies, localization, tax rules, travel allowances, and credit-card integrations
- Develop and execute unit, integration, and UAT test plans; create test scripts and manage defect resolution
- Support integration with upstream and downstream applications such as Workday, PeopleSoft Financials, General Ledger, AppZenn, American Express and middleware using Cognos reporting, data uploads, API’s and downloads
- Prepare end-user documentation, deliver training, and provide support post-go-live
Required Experience:
- 5+ years in SAP Concur configuration and testing (Expense, Request, Invoice)
- Proven track record in global implementations and rollouts
- Strong knowledge of API integrations, credit-card feeds, and middleware platforms
- Expertise in test strategy development, UAT execution, and defect management
Preferred Skills:
- Familiarity with Agile/Scrum methodologies
- Experience with Cognos reporting, localization, and compliance for multi-country deployments
- Knowledge of Workday/SuccessFactors and Oracle integration patterns
- Knowledge of AppZen audit application and integration
- Knowledge of American Express Global Travel integrations
Job Title: Senior Software Engineer
Reports To: Manager of Application Development
About the Role:
The Senior Software Engineer is a hands-on technical leadership position responsible for designing, building, and maintaining high-quality software solutions. This role emphasizes both individual development work and ownership of design decisions for features and subsystems. Modern tools, including AI-assisted development and architectural support, are leveraged to drive delivery while maintaining accountability for technical outcomes.
Responsibilities:
- Design, implement, test, and maintain scalable, secure, and reliable applications and services.
- Act as a senior technical contributor, with responsibility for the design and implementation of features and subsystems.
- Contribute actively to development tasks, applying advanced coding expertise in several programming languages and frameworks.
- Participate in architectural discussions and support incremental evolution of systems with team leads.
- Conduct code reviews and mentor engineering team members, fostering best practices and ongoing improvement.
- Translate requirements from product owners, business analysts, and stakeholders into technical solutions.
- Identify and mitigate technical risks in assigned systems and projects.
- Support and enhance cloud-based applications (Azure, AWS) with emphasis on performance, reliability, and scalability.
- Collaborate effectively with onshore and offshore teams to ensure successful project execution.
- Keep abreast of industry trends and new technologies to encourage innovation.
- Utilize AI-assisted tools to expedite design, documentation, and implementation, while ensuring technical quality.
- Lead and support AI-related initiatives, drawing on prior experience with AI/ML technologies; recommend and implement suitable AI tools and frameworks.
- Test and demonstrate emerging AI tools and platforms via proofs of concept (POCs) to highlight business value.
- Guide customers in leveraging AI to optimize business processes; support teams working on business-facing AI efforts.
- Collaborate with stakeholders to contribute to defining an AI roadmap aligned with organizational strategy and technology objectives.
Qualifications:
- Bachelor’s degree in Computer Science, Software Engineering, or a related field; Master’s degree preferred.
- A minimum of 5 years in a Senior Software Engineer, Lead Developer, or similar role, with proven success delivering production systems.
Required Skills:
- Strong understanding of software development methodologies (e.g., Agile, DevOps) and architectural frameworks.
- Proficient in programming languages such as C#, Python; excellent problem-solving and critical thinking skills.
- Web Development: Experience with modern front-end frameworks (e.g., React, Vue.js).
- Mobile Development: Knowledge of mobile app development tools (e.g., Cordova, Ionic).
- Cloud Development: Experience managing cloud-hosted applications, including Azure Functions and Event Hubs.
- Database Management: Ability to develop and debug stored procedures, views, and tables in SQL Server and MySQL; basic database administration for data integrity and security.
- API Development: Skilled at designing, building, and debugging APIs; experience with RESTful APIs and tools like POSTMAN and SOAPUI.
- DevOps: Designing branching strategies; implementing and maintaining CI/CD pipelines for test automation and deployment.
- Containerization: Experience with Docker and Kubernetes for application development and deployment.
- Security: Understanding of secure coding and application security best practices.
Preferred Skills:
- Ability to explain complex technical concepts to both technical and non-technical stakeholders.
- Effective teamwork, working with cross-functional groups including developers, project managers, and analysts.
- Strong problem-solving abilities and the capacity to make effective decisions under constraints.
- Leadership through mentoring and influencing technical direction.
- Adaptability to new technologies and changing environments.
- Critical thinking in evaluating options and making informed decisions.
- Effective time management across multiple projects.
- Empathy for team and stakeholder perspectives to foster collaboration.
Segment CDP Platform Consultant Architect (Contract)
KEY POINTS
• Lead architecture & governance of a Twilio Segment CDP platform
• Bethlehem location
• Senior contract role owning data models, identity + CDP operations
ABOUT THE CLIENT
We’re supporting a large organisation investing in customer data infrastructure and modern MarTech.
They are building a Twilio Segment-powered CDP to improve data governance, audience activation, and real-time customer insight.
Due to continued growth, they’re looking for a Segment CDP Architect to take ownership of the platform’s design, governance, and day-to-day operations.
THE ROLE
Senior, hands-on role owning the Segment CDP architecture and operations.
You’ll define the data model, identity strategy, and tracking standards, while ensuring the platform is scalable, compliant, and reliable.
Key responsibilities:
• Own CDP data model and identity resolution (Profiles / Unify)
• Define event schema, naming conventions, and tracking standards
• Configure and govern sources, destinations, and integrations
• Implement Protocols, tracking plans, and schema validation
• Build and optimise Engage audiences and traits
• Manage data quality, SLAs, and platform performance
• Ensure consent, privacy, and governance standards are met
ESSENTIAL SKILLS
• 10+ years in MarTech / CDP / marketing data
• 3+ years hands-on Twilio Segment
• Strong data modelling + identity resolution experience
• Technical capability with JSON, SQL, REST APIs
• Experience with Segment destinations + server-side tracking
• Proven data quality + platform optimisation experience
• Strong understanding of privacy and consent frameworks
NICE TO HAVE
• Warehouse-native CDP / Reverse ETL
• CMP / privacy tooling
• CI/CD for tracking plans
• Experience in regulated environments
TO BE CONSIDERED
Please either apply by clicking online or email me directly at . I can make myself available outside of normal working hours between 7am – 8pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.
KEY SKILLS
Twilio Segment / CDP / Customer Data Platforms / MarTech Architecture / Data Modelling / Identity Resolution / Segment Protocols / Audience Activation / Privacy & Consent / Data Governance / Marketing Technology
We are seeking a Senior Robotic Simulation Engineer with deep, hands-on expertise in building high-fidelity simulation environments and synthetic data pipelines using NVIDIA Isaac Sim or similar.
In this role, you will directly contribute to the development of scalable, realistic virtual worlds that power the training and validation of robotic foundation models for perception, planning, and manipulation.
At GM’s manufacturing technology development team, you’ll work closely with robotics and AI teams within the Manufacturing Technology Development (MTD) team to create simulation scenes that replicate complex manufacturing environments, generate diverse synthetic datasets, and build robust data workflows that accelerate model development and deployment.
Key Responsibilities • Build and customize simulation scenes in Isaac Sim that accurately reflect real-world robotic tasks and factory layouts • Develop synthetic data generation pipelines, including randomized object placement, sensor simulation, and multi-modal annotations (RGB, depth, segmentation, point clouds) • Implement and maintain data processing workflows, ensuring data quality, traceability, and compatibility with ML training pipelines • Optimize simulation performance and realism, tuning physics parameters, asset fidelity, and rendering configurations for scalable experimentation • Collaborate with robotics engineers and ML scientists to align simulation outputs with model requirements and support sim2real transfer • Conduct hands-on testing and debugging, iterating on simulation setups and synthetic data strategies to improve model robustness • Document workflows and contribute to best practices, enabling reproducibility and knowledge sharing across teams Required Qualifications • MSc or PhD in Robotics, Computer Graphics, Computer Vision, or related field • 3+ years of hands-on experience in robotics simulation, synthetic data generation, or virtual environment development • Proficiency with Isaac Sim, Omniverse, or similar simulation platforms • Strong programming skills in Python and C++, with experience in simulation APIs and data annotation tools • Familiarity with 3D vision, sensor modeling, and domain randomization techniques • Experience integrating simulation outputs into ML pipelines for training and evaluation Preferred Qualifications • Experience with robotics frameworks (e.g., ROS/ROS2, MoveIt, Nav2) • Experience with robotics simulation platforms (e.g., IsaacSim, MoJoCo, Gazebo) or Game engine (e.g., Unreal, Unity) • Background in industrial automation, autonomous vehicles, or robotic manipulation • Publications or contributions in simulation, synthetic data, or robotics venues (e.g.
ICRA, RSS, CVPR) • Familiarity with CI/CD pipelines and modern software development practices such as Bash, Github, Bazel, Docker
Duration: 11 Months (Contract to hire)
Location: Columbia, SC
Onsite Requirements: Partially onsite 3 days per week (Tue, Wed, Thurs) and as needed.
Standard work hours: 8:00 AM - 5:00 PM
**Credit check will be required**
Job Summary:
Day to Day:
- A typical day will involve a mix of hands-on coding, architectural design, and research.
- The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
- This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment.
- They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
Team: The team is an innovative, collaborative, and empowering environment. We are building the next generation of AI solutions for the enterprise in a fast-paced, project-oriented setting. This is a multi-platformed environment that values creativity, continuous learning, and a customer-focused mindset. The new engineer will play a crucial role in shaping our AI strategy and building foundational tools and accelerators that will drive innovation across the company.
Job Requirements:
**This is a new role to establish a core competency in agentic AI systems. This engineer will be pivotal in designing and deploying advanced AI agents and will build the foundational frameworks for future AI use cases across the organization.**
Required Experience:
Required Software and Tools (Hands on experience required):
- Python
- JavaScript/TypeScript
- AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
- AI Models (e.g. Claude, OpenAI, etc.)
- AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
- Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
- Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
- API Design
Python & AI/ML Libraries:
- Deep hands-on experience in Python for AI/ML development.
- Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
- Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
- Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
Minimum Required Education: Bachelor's degree-in Computer Science, Information Technology or other job related degree or 4 years relevant experience or Associates degree + 2 years relevant experience
Minimum Required Work Experience: 6years-of application development, systems testing or other job related experience.
Required Technologies: 3-6 years of hands-on experience in Artificial Intelligence, Machine Learning, or related fields.
Nice to have/Preferred skills:
- Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
- Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
- Experience developing autonomous agents using cloud-based AI services.
- Experience with prompt engineering techniques and model fine-tuning.
- Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
- Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
Location: Dearborn, MI (Remote)
Employment Type: Full-Time Contract
Pay: $83-87 per hour
Description: We are seeking a Product Manager to lead the vision, strategy, and execution of a next-generation Data Attribution & Intent Platform that powers multiple virtual agents across chat, SMS, and voice channels. This platform will orchestrate customer intent detection, manage guardrails to prevent hallucinations, ensure compliant responses, and generate actionable performance insights through leading and lagging indicators. You will own the product lifecycle—from discovery to delivery—ensuring our AI-driven experiences are reliable, measurable, and continuously improving. This role sits at the intersection of AI safety, customer experience, analytics, and automation. You will shape how intelligent systems responsibly interact with customers at scale—ensuring trust, measurable outcomes, and continuous optimization.
Responsibilities:
- Define and execute the roadmap for an enterprise-grade Intent & Attribution Platform supporting multi-channel (chat, SMS, voice) virtual agents
- Establish a scalable architecture that integrates with conversational AI systems, CRM platforms, knowledge bases, analytics tools, and contact center systems.
- Lead the development of intent classification frameworks across customer touchpoints
- Define response validation pipelines that include: Knowledge grounding and citation requirements. Policy enforcement checks. Confidence scoring and escalation thresholds
- Design and implement attribution models that measure- Leading indicators: intent recognition accuracy, containment prediction, response confidence, latency, user sentiment; Lagging indicators: deflection rate, call reduction, resolution rate, CSAT, repeat contact rate
- Define automated and human-in-the-loop quality scoring models
- Collaborate with Engineering, Data Science, UX, Compliance, Contact Center Operations, and Customer Success
Requirements:
- Bachelor's Degree
- 10+ years of Product Management experience (AI/ML, conversational AI, or analytics platforms preferred)
- Agile Software Development
- Artificial Intelligence & Expert Systems
- Business Strategy
Preferred:
- Strong understanding of: Intent modeling & NLP systems LLM guardrails and hallucination mitigation techniques Attribution modeling & performance analytics
- Conversational platforms (chat, SMS, voice IVR)
- Experience with enterprise SaaS platforms and API-driven architectures
- Proven ability to define metrics frameworks and performance dashboards
- Strong analytical mindset and ability to work with data scientists and engineers
Position: Principal AI Engineer
Location: San Francisco CA Hybrid
Contract
Job Summary:
- We are seeking a senior level AI/ML engineering contractor to temporarily step into a technical leadership and team lead role supporting personalization models and the company’s AI platform.
- The ideal candidate can balance technical expertise, strategic decision making, and day to day team guidance to ensure continuity during the leave period.
Required Skills & Experience:
- Senior level 12 years of experience building and operating machine learning systems in production.
- Strong understanding of ranking models, recommendation systems, model evaluation, and experiment design.
- Hands on expertise with modern AI/ML engineering tools (e.g., Python, Spark or similar, cloud-based ML pipelines, cloud model serving frameworks, and API design).
- Ability to lead engineering discussions, guide team members, and provide clear direction.
- Strong organizational skills: able to manage complex projects and maintain structure during a temporary leadership period.
- Excellent communication skills, with the ability to translate technical details into clear action for partners and stakeholders.