
11 - 50 employees
Founded 2015
đź’Ľ Consulting
🏥 Healthcare
🏨 Hospitality
Consulting • Healthcare • Hospitality
PLUM Commercial Real Estate Lending is a finance company specializing in commercial real estate loans for high-quality borrowers, offering a range of lending options from $1 million to over $100 million. The firm focuses on providing tailored lending solutions across various property types, including retail and self-storage. With an experienced team led by industry veterans, PLUM is committed to optimizing financing strategies for its clients in the commercial real estate sector.
đź•’ August 28
Where this job comes from
Posted on PLUM Commercial Real Estate Lending's careers page, not through a job board
First seen by Remote Rocketship August 28
Still open on PLUM Commercial Real Estate Lending's site. Checked Yesterday.

11 - 50 employees
Founded 2015
đź’Ľ Consulting
🏥 Healthcare
🏨 Hospitality
Consulting • Healthcare • Hospitality
PLUM Commercial Real Estate Lending is a finance company specializing in commercial real estate loans for high-quality borrowers, offering a range of lending options from $1 million to over $100 million. The firm focuses on providing tailored lending solutions across various property types, including retail and self-storage. With an experienced team led by industry veterans, PLUM is committed to optimizing financing strategies for its clients in the commercial real estate sector.
• Own CRM data end to end for client implementations • Work directly with clients to understand their CRM usage across Salesforce, HubSpot, GoHighLevel, Zoho and other systems • Diagnose CRM data quality problems • Define how CRM data maps into the company data warehouse • Turn CRM data into actionable campaign segments • Own ongoing execution for live clients, including loads, extracts, dedupes and segment builds • Work with client sales, marketing and technical teams in discovery sessions • Serve as technical lead in client relationships • Document CRM structures, including object models, custom objects and fields, picklists, record types, relationships, automations and integrations • Profile standard and custom CRM objects for completeness, duplication, staleness, formatting inconsistency, invalid values and broken relationships • Quantify data quality findings • Recommend source-side fixes, company-side resolutions and exclusions to clients • Translate available data into technically buildable and commercially meaningful segments with campaign teams • Build source-to-target mappings into the data warehouse, including transformation logic, data types, picklist normalization, null handling, identity resolution keys and sync cadence • Partner with data engineering and data science on ingestion builds through build, testing and reconciliation • Supply field definitions, business logic, sample data and validation rules • Load records into client CRMs and extract records at volume using native tools, data loaders and REST/Bulk APIs • Own staging, dry runs, dedupe rules and rollback plans
• 5+ years in RevOps, marketing ops, GTM engineering, solutions consulting, sales engineering or CRM consulting, with real operational ownership • Direct experience owning client relationships and leading client-facing engagements • Ability to run discovery sessions with skeptical stakeholders • Comfortable presenting evaluation findings and recommendations to client stakeholders, including critical findings about existing data or processes • At least 3 years of deep, hands-on experience with at least two major CRMs; Salesforce and HubSpot preferred • Knowledge of CRM object models, admin configuration, import/export tooling, REST and Bulk APIs • Proven bulk data operations at volume, including loads, upserts, merges, dedupes and write-backs into production systems • Judgment to perform bulk operations safely • Data quality experience including profiling, deduplication, standardization, enrichment and identity resolution • SQL proficiency • Strong spreadsheet skills • Experience producing source-to-target mapping documentation for an engineering audience • Clear written communication • Working knowledge of GoHighLevel, Zoho, Dynamics, Pipedrive or Close preferred • Python or similar for profiling, transformation scripts and API-driven bulk operations preferred • Familiarity with warehouse and ELT stacks such as Databricks, dbt and Fivetran; Snowflake, BigQuery, Redshift or Airbyte experience also translates well • Experience in commercial real estate or real estate preferred • Comfortable using AI tools for profiling data, drafting mapping documentation, understanding unfamiliar CRM schemas and scripting one-off transformations preferred
• A fast-paced, collaborative startup culture with high visibility • Autonomy and flexibility • Flat corporate structure with opportunity for direct input to be realized and put into action • Opportunity to make a meaningful impact in building a company and culture • Equity in a financial technology startup • Generous health, dental, and vision coverage for employees and family members • 401K • Eleven paid holidays • Unlimited discretionary vacation days • Competitive compensation and bonus potential
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