Plum Lending

Plum Lending

Plum Lending specializes in providing innovative AI solutions for lenders and brokers in the commercial real estate sector, enhancing the ownership experience by offering extensive loan options, advanced technology tools, and a unique network to suppor...

Real Estate
11-50
Founded 2014
$12M raised

Description

  • Lead discovery sessions with client sales, marketing, and technical teams and serve as the technical relationship lead.
  • Document CRM structures, including objects, custom fields, picklists, relationships, automations, and integrations.
  • Profile CRM data for completeness, duplication, staleness, formatting issues, invalid values, and broken relationships, and quantify findings.
  • Present data quality recommendations to clients, distinguishing source-system fixes, internal remediation, and exclusions.
  • Translate client data into technically buildable and commercially meaningful campaign segments.
  • Create source-to-target warehouse mappings covering transformations, data types, normalization, null handling, identity resolution, and sync cadence.
  • Partner with data engineering and data science on ingestion builds, testing, reconciliation, and validation.
  • Execute high-volume CRM loads and extracts using native tools, data loaders, and REST/Bulk APIs, including staging, deduplication, dry runs, and rollback planning.

Requirements

  • 5+ years of experience in RevOps, marketing operations, GTM engineering, solutions consulting, sales engineering, or CRM consulting with operational ownership.
  • Experience owning client relationships and leading client-facing engagements.
  • Ability to conduct discovery sessions with skeptical stakeholders and extract accurate business and technical information.
  • Ability to present evaluation findings and recommendations, including critiques of existing data or processes.
  • At least 3 years of hands-on experience with at least two major CRMs; Salesforce and HubSpot preferred.
  • Experience with CRM object models, administration, import/export tools, and REST and Bulk APIs.
  • Proven experience with high-volume loads, upserts, merges, deduplication, and production write-backs.
  • Experience with data profiling, standardization, enrichment, and identity resolution.
  • SQL proficiency, strong spreadsheet skills, clear written communication, and experience creating source-to-target mapping documentation.
  • Preferred: Python, GoHighLevel, Zoho, Dynamics, Pipedrive, Close, Databricks, dbt, Fivetran, Snowflake, BigQuery, Redshift, Airbyte, real estate data or operations, and AI-assisted workflows.

Benefits

  • Equity in a financial technology startup.
  • Competitive compensation with bonus potential.
  • Health, dental, and vision coverage for employees and family members, plus a 401(k).
  • Eleven paid holidays and unlimited discretionary vacation days.
  • Autonomy, flexibility, and a flat organizational structure.
  • High-visibility role with meaningful impact on company and culture development.

Interested in this position?

Apply directly on the company website

Apply Now

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