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Fairmarkit

SaaS platform automating tail-spend sourcing

Technical Implementation Consultant

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeRemote in UK

About the Job

Requirements

  • Experience delivering enterprise software implementations, including technical discovery, requirements gathering, solution design, configuration, testing, and deployment.
  • Strong understanding of RESTful APIs, JSON Schema, authentication methods, data mapping, and integration patterns.
  • Experience configuring and troubleshooting single sign-on (SSO) using Security Assertion Markup Language (SAML).
  • Strong technical troubleshooting and data analysis skills, with the ability to diagnose issues across systems, configurations, and integrations.
  • Strong business acumen and professional judgment, with the ability to translate customer goals into feasible technical solutions.
  • Excellent communication, presentation, and workshop facilitation skills with business and technical stakeholders.
  • Effective collaboration across Professional Services, Customer Success, Product, Engineering, and Support.
  • Strong organizational skills and the ability to manage technical deliverables across multiple customer implementations.

Responsibilities

  • Participate in the full implementation lifecycle, from internal sales handoff through technical discovery, solution design, system configuration, integration testing, training, and go-live.
  • Facilitate discovery and requirements analysis sessions to understand customer business objectives, procurement processes, enterprise resource planning (ERP) and procure-to-pay (P2P) environments, and technical dependencies.
  • Document technical requirements, integration designs, data flows, field mappings, business rules, and acceptance criteria.
  • Design integrations using RESTful application programming interfaces (APIs) and other supported integration methods, defining authentication requirements, JavaScript Object Notation (JSON) payloads, data transformations, and error handling.
  • Configure Fairmarkit platform capabilities, including workflows, intake forms, templates, routing rules, reference data, user roles, and permissions.
  • Define and validate JSON Schema to support structured data capture, payload validation, and integration requirements.
  • Support single sign-on (SSO) configuration using SAML, coordinating setup and validation with customer IT and security teams.
  • Demonstrate a detailed understanding of Fairmarkit platform capabilities and limitations, including core functionality, the integration engine, and machine learning capabilities.
  • Review customer onboarding datasets, assess data quality, and prepare and validate data for implementation.
  • Support integration testing and customer-led user acceptance testing, troubleshooting configuration, data, and integration issues.
  • Partner with Product, Engineering, and Support to resolve implementation issues and communicate product gaps or enhancement needs.
  • Set, manage, and meet mutual expectations with customers, communicating technical risks, dependencies, scope considerations, and delivery impacts.
  • Document implementation progress, technical flow diagrams, design decisions, and time reporting.
  • Track and report technical delivery milestones and project metrics to support project success and mitigate risk.
  • Support production readiness, technical cutover, and post-go-live stabilization.
  • Complete an effective handoff to Customer Success and other internal teams, including configuration records, integration documentation, and outstanding support considerations.

Desired Qualifications

  • Familiarity with Agile development practices.
  • Proficiency in Python, particularly pandas, for data analysis and transformation.
  • Familiarity with matplotlib.

About the Company

Fairmarkit

SaaS platform automating tail-spend sourcing

Fairmarkit provides a cloud-based SaaS platform that helps enterprises manage tail spend—the small, frequent purchases often overlooked. It uses machine learning to analyze purchasing data, identify suitable vendors, and automate the quoting process to move bids to purchases faster. It differentiates itself by focusing specifically on tail spend and offering end-to-end automation within one platform, aiming for faster cycles than broader procurement tools. Its goal is to reduce procurement cycle times and total spend by giving teams better control over sourcing and supplier selection.

Company size
51-200
Company stage
Series C
Total funding
$76.6M
Headquarters
Boston, MA
Founded
2017

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