M

Moder

Conversational AI-based enterprise workflow automation

Deployment Associate - Fast Forward Program

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

About the Job

Requirements

  • A recent undergraduate or graduate degree in Computer Science, Data Science, Software Engineering, Information Systems, Mathematics, or a related technical field is required.
  • Demonstrated ability to program independently in Python, including data manipulation, API calls, scripting, and understanding how data moves between systems.
  • Working SQL proficiency for querying and exploring datasets, and comfort working with structured data at meaningful scale.
  • An analytical approach to breaking down problems, identifying relevant data, and developing a structured basis for action.
  • Intellectual curiosity and inquisitiveness, including investigating problem edges and questioning whether a solution works well.
  • Clear written and verbal communication with technical and non-technical audiences; communication will be assessed during interviews.
  • Comfort working in ambiguous and open-ended environments where tasks are discovered through engagement rather than supplied in a specification.
  • Ability 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 and make them usable within Palantir's ontology layer.
  • Develop hands-on proficiency with Foundry's Pipeline Builder, Workshop, Ontology Manager, Code Repositories, and AIP.
  • Contribute to architecture and technical-design discussions.
  • Build working 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 by communicating what was built and why it works as it does.
  • 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 missing 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 involving a client-facing workflow or internal accelerator and present it to Moder leadership at the end of the program period.
  • Provide formal feedback at structured checkpoints to help 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

  • Coursework, projects, or research involving data engineering, machine learning, enterprise data platforms, or applied AI.
  • Exposure to AI or machine-learning concepts, including large language models, retrieval-augmented generation, or agentic systems, sufficient to understand their enterprise context.
  • Prior experience in a client-facing, consulting, or applied research capacity involving translation between technical work and non-technical audiences.
  • Background or coursework in financial services, mortgage, insurance, or a regulated industry.
  • Familiarity with cloud environments such as AWS, 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