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.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024.

[Please see the independent bias audit report covering our use of Covey for more information.] 

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Who we seek:

We are expanding our Solutions Engineering team. We're always looking for top Engineers to join our winning team. This team works closely with innovative companies interested in leveraging BigID’s platform. You will use your knowledge to influence customer decisions, provide insightful solutions, and drive successful proof-of-value implementations. With your potent technical capabilities, critical and creative thinking, and passion for fast-paced problem-solving, be ready to hit the ground running.

We're seeking someone based in PST.

What you’ll do:

• Work with the Sales team as the technical subject matter expert for BigID’s platform during customer calls and presentations
• Use market and technical knowledge to consult on best practices and offer constructive direction for solution architecture and design
• Stay up-to-date on relevant competitive solutions, products, and services/offerings
• Drive customer success with real-world knowledge and recommendations
• Develop a trusted advisory role with customers, communicating upcoming product changes, enhancements, and serving as an internal voice of the customer
• Work with the post-sales teams to ensure every customer realizes the value of the BigID Platform and continues to contribute to the success of BigID customers

What you’ll bring:

• Interpersonal communication, customer relationship, executive presentation skills
• Excellent organization skills and ability to multitask in a fast-paced startup environment
• Demonstrated ability to address customer needs and provide best practices
• Strong background in Big Data, AI, privacy, data governance, or information security
• Good troubleshooting abilities and a methodical approach
• Ability to describe complex technical concepts to diverse audiences: executives, business stakeholders, and technology practitioners
• Passion for demonstrating solutions and ability to provide technical input during the sales process
• Broad understanding of enterprise data architecture, privacy, and security technologies
• Ability to plan, execute and close out a Proof of Concept with minimal assistance and oversight
• Desire to share knowledge through excellent documentation creation and RFI/RFP responses
• Some prior experience with one or more of the following: RDBMS systems, no-SQL data stores (MongoDB, Cassandra, DynamoDB), Hadoop technologies (such HDFS, Hive, HBase), cloud technologies (AWS EMR, S3, DynamoDB, Redshift, Azure file and blob storage, etc.)
• Prior experience with Identity and Access Management or Data Loss Prevention tools is a plus
• Proficient in Linux and container framework (Docker and Kubernetes)
• Minimum of 3 years in a pre-sales or consulting role within a multinational environment
• Bachelor’s degree in computer science or related discipline (master’s degree a plus)

Our Values:

We look for people who embody our values - Care, Do,Try & Shine.

• Care - We care about our customers and each other
• Do - We do what it takes to make a positive impact
• Try - We try our best and we don’t give up
• Shine - We shine and make it our mission to always stand out

BigBenefits: 

💻 Work from home with a global remote-first community

 Global Culture Corner

 Flexible PTO and Quarterly Volunteer Days

💸 Equity Participation

 100% employer-covered medical, dental, and vision options available to you

🐶 Additional insurance benefits like pet insurance and legal assistance 

📚 Learning & Development Opportunities 

Fidelity Employer Sponsored 401K 

 Paid Parental Leave

The annual base salary range is $135,000 - $150,000. Actual salaries will vary and are based on a candidate’s qualifications, skills, and competencies. Salary is just one component of our Compensation Philosophy. Variable/Bonus Compensation & Equity Incentives align with individual and company performance.

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