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HomeCompaniesMercuryRevenue Technology - Data Strategy & Operations Lead

Revenue Technology - Data Strategy & Operations Lead

Mercury · San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States · Remote · Active · $158,400–$198,000 / year · Greenhouse

Job facts

FieldValue
CompanyMercury
TitleRevenue Technology - Data Strategy & Operations Lead
Normalized title-
Department / teamSales Operations
LocationSan Francisco, CA, United States
Work modelRemote / Remote
Employment type-
Salary$158,400–$198,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-02-17 / 2026-05-29
Changed / last seen2026-06-13 / 2026-06-18

Related slices

PageWhat it containsOpen
Company jobsActive postings from Mercury.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Sales Operations.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyMercury
Source8fa32b77-c89f-4009-b3c0-fc9e06e9b8bf
ATS providerGreenhouse

Description

Mercury is redefining *banking for ambitious companies and behind every great financial platform is a data system that people can actually trust. As Mercury scales, our revenue systems generate an enormous amount of information: signals from remote and in-person meetings, automation tools, product usage, lifecycle events, and analytics pipelines. Turning that activity into clear, reliable intelligence — without brittle pipelines or constant rework — is critical to how we grow. We’re looking for a Data Strategy & Operations leader to own the data foundations that power revenue execution. This role ensures that revenue data is reliable, interpretable, scalable, and usable as the business evolves and that teams can act on what they see with confidence. In this role, you will report to the Head of Platforms & Infrastructure and play a central role in shaping how Mercury models, governs, and operationalizes GTM data. You’ll partner closely with Data Engineering, Data Science, Solution Architecture, Platform Engineering. etc. *Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC. Here are some things you’ll do on the job: Own the definition, structure, and reliability of data originating from revenue platforms (e.g., Salesforce, GTM tools, automation systems) Serve as the primary decision owner for GTM-sourced tables and views used for revenue execution, forecasting inputs, lifecycle tracking, and signal-based workflows Design and evolve core GTM data models across Salesforce, ETL, and analytics layers Partner with Data Engineering to align GTM schemas with enterprise data models and define clear data contracts between source systems and downstream consumers Partner with Data Science / Analytics to ensure revenue data is interpretable, statistically sound, and reflects how the business actually operates Own clarity around data ownership boundaries, shared dependencies, and escalation paths when upstream or downstream changes impact revenue integrity Define and uphold data quality, freshness, consistency, and documentation standards for revenue platforms Monitor and improve pipeline reliability, performance, and scalability, proactively identifying fragile or redundant transformations Identify opportunities to automate manual or error-prone data workflows and reduce operational overhead Act as a data thought partner to Platforms & Infrastructure, Revenue Operations, Analytics, and Security — advising on feasibility, tradeoffs, and sequencing for data-heavy initiatives You Should: Have 7+ years of experience in data engineering or data systems roles within SaaS or technology companies Have deep experience designing and operating production data pipelines Be highly proficient in SQL and experienced in data modeling Have hands-on experience with modern data stacks (e.g., Snowflake, BigQuery, Redshift) Have experience with ETL / ELT tooling (e.g., dbt, Airflow, Census, or similar) Understand Salesforce data models and common GTM system architectures Be able to translate business concepts into durable, well-structured data models Communicate clearly with both technical and non-technical partners Preferred: Experience supporting revenue, sales, or customer lifecycle data Familiarity with event-based data platforms (e.g., Data Cloud or equivalents) Experience working alongside platform engineering and security teams Exposure to data governance, access controls, and compliance considerations Experience mentoring or guiding other data practitioners Compensation: The total rewards package at Mercury includes base salary, equity, and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers. Our target new hire base salary ranges for this role are the following: US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $158,400 - $198,000 US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $142,600 - $178,200 Canadian employees (any location): $149,700 - 187,100 CAD Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. #LI-SN1

Full job record

Job IDa708b2ab983ce2ac58bcf046872a5537f476d408
Org IDe6ec7a0b-d6df-458a-acdd-d9c801488cc1
Source ID8fa32b77-c89f-4009-b3c0-fc9e06e9b8bf
Board ID8fa32b77-c89f-4009-b3c0-fc9e06e9b8bf
Providergreenhouse
Provider Job Key5806201004
TitleRevenue Technology - Data Strategy & Operations Lead
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States
DepartmentSales Operations
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionCA
CitySan Francisco
Salary Rawsalary ranges for this role are the following: US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $158,400 - $198,000 US employees outside of New York City, Los Angeles, Seattle, or the San Francis
Salary Min158,400
Salary Max198,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/mercury/jobs/5806201004
Apply URLhttps://job-boards.greenhouse.io/mercury/jobs/5806201004
First Seen At2026-05-29 22:42:01Z
Last Seen At2026-06-18 07:36:28Z
Last Checked At2026-06-18 07:36:28Z
Last Changed At2026-06-13 07:35:01Z
Inactive At
Source Posted At2026-02-17 20:08:05Z
Source Updated At2026-06-12 20:03:39Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=mercury/date=2026-06-18/2026-06-18T07-36-28-609Z-c27d7c2eced8b5be268cca6895ec14913b18d654fa997e7f034abafdcb4bfc8b.json
Event Fields
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Parsed Structured
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  "salary_period": "year",
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  "salary_currency": "USD"
}
Extensions
{}
Native Structured
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  "updated_at": "2026-06-12T16:03:39-04:00",
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  "first_published": "2026-02-17T15:08:05-05:00",
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}
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