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We’re hiring a Salesforce Developer to deepen Mercury’s technical bench — someone who can build, refactor, and operate core GTM systems with care, precision, and durability.

This role fills a critical gap today: hands-on engineering capacity to implement platform capabilities that already exist on paper — and reduce tool sprawl by building stronger foundations directly into Salesforce and adjacent systems.

You’ll work closely with Architecture, Data, TPM, and Systems Experience to turn intent into reality.

*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:

• Build and maintain Salesforce functionality (flows, automation, objects, permissions)
• Implement architectural designs without diverging from intent
• Improve reliability, performance, and maintainability of GTM systems
• Reduce tech debt and replace fragile workarounds with durable solutions
• Partner with Data Strategy to ensure clean data generation
• Support integrations and tooling across the revenue stack
• Participate in incident response and platform debugging
• Help migrate functionality into core platforms rather than adding new tools

You should have:

• 8+ years experience in Salesforce development or platform engineering roles
• Strong hands-on experience with Salesforce automation, flows, object models, permissions, and integrations
• Excited to own and maintain API-based integrations between Salesforce and downstream/upstream systems
• Demonstrated ability to build and refactor systems with durability, performance, and maintainability in mind
• Experience partnering with cross-functional teams to implement technical solutions
• Strong debugging and problem-solving skills in production environments
• Clear communication skills and comfort explaining technical tradeoffs

Preferred Qualifications: 

• Experience with Salesforce Data Cloud, including ingestion, identity resolution, and activation
• Familiarity with GTM workflows, revenue operations, or customer lifecycle systems
• Experience reducing tool sprawl by consolidating functionality into core platforms
• Exposure to data pipelines, ETL processes, or downstream analytics usage
• Experience working in regulated or security-conscious environments
• Comfort working alongside data engineers and analysts to ensure operational and analytical needs align

 

The total rewards package at Mercury includes base salary, equity (stock options), 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): CAD $149,700 - $187,100

 

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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