M

Moder

Conversational AI-based enterprise workflow automation

Deployment Associate New Grad - Fast Forward Program

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timePhiladelphia, PA, USANo salary listed

About the Job

Requirements

  • A bachelor's degree in Accounting, Finance, or Business Administration with an accounting concentration is required.
  • A total of 150 semester hours is required to be eligible to sit for the CPA Exam.
  • A master's degree in Accounting or Taxation is required.
  • Demonstrate an analytical mindset by breaking down problems, identifying relevant data, and building a structured case for action.
  • Demonstrate intellectual curiosity by investigating problems, asking questions, and examining whether solutions work as intended.
  • Communicate clearly in writing and conversation with technical and non-technical audiences.
  • Be comfortable working in ambiguous, open-ended environments where tasks are discovered through engagement.
  • Be able to commute to and work from Philadelphia at least three days per week.

Responsibilities

  • Work on active Palantir Foundry deployments alongside senior Forward Deployment Engineers, owning defined scopes within live client engagements.
  • Build data pipelines, ontology structures, and workflow automations in Foundry's Pipeline Builder and Workshop, progressing from supported execution to independent delivery.
  • Clean, transform, and integrate complex financial-services datasets for use in Palantir's ontology layer.
  • Develop proficiency in Foundry's Pipeline Builder, Workshop, Ontology Manager, Code Repositories, and AIP.
  • Contribute to architecture and technical design discussions.
  • Build familiarity with AI- and large language model-driven workflows through Palantir AIP, assessing where AI adds operational value.
  • Participate in client-facing discovery meetings, technical reviews, and status updates alongside senior Forward Deployment Engineers.
  • Support training and handoff sessions for client teams, explaining what was built and how it works.
  • Translate technical realities into business language for audiences ranging from data analysts to C-suite executives.
  • Represent Moder in person at client locations when travel is required.
  • Participate in Moder Academy onboarding covering the mortgage lifecycle, insurance operations, Palantir Foundry, and client engagement frameworks, and provide feedback on gaps or unclear content.
  • Maintain a structured learning log of client patterns, platform observations, and deployment insights for Moder's product and training teams.
  • Complete an end-to-end capstone project, either a client-facing workflow or internal accelerator, and present it to Moder leadership at the end of the program.
  • Provide formal feedback at structured checkpoints to improve the program for the next cohort.
  • Perform other related duties as assigned.
  • Comply with company policies and procedures.
  • Maintain regular and punctual attendance.

Desired Qualifications

  • Hold a current Certified Public Accountant license.
  • Have coursework, projects, or research involving data engineering, machine learning, enterprise data platforms, or applied artificial intelligence.
  • Have exposure to artificial intelligence or machine-learning concepts, including large language models, retrieval-augmented generation, or agentic systems, sufficient to understand their enterprise relevance.
  • Have prior experience in a client-facing, consulting, or applied research capacity, translating technical work for non-technical audiences.
  • Have a background or coursework in financial services, mortgage, insurance, or a regulated industry.
  • Have familiarity with cloud environments such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.

About the Company

Moder

Conversational AI-based enterprise workflow automation

Moder provides a business software platform that uses conversational AI to automate and manage enterprise workflows. It offers a SaaS solution that users interact with via natural language—“Just talk to it”—to issue voice or text commands that trigger business tasks. The product works by recognizing user requests with AI models (including GenAI) and executing tasks inside workflows, acting as an intelligent assistant for operations. What sets Moder apart is its combination of enterprise focus and leadership with deep experience in financial services, technology, and AI-led transformation, aligning the product with industries like banking, wealth management, and insurance, and emphasizing AI adoption and digital transformation rather than generic features. Its goal is to help enterprises improve operational efficiency and scale AI-driven automation across business processes.

Company size
1-10
Company stage
Seed
Total funding
$510K
Headquarters
Åre kommun, Sweden
Founded
2020

Recently Posted Jobs

Explore more opportunities at Moder

See more jobs