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Revenue Operations Associate

San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States

Mercury is building a complete finance stack for startups. Revenue is a key growth engine for Mercury but we can’t execute at full speed without top-notch support – that’s where Revenue Operations comes in.

 

The Revenue Ops team plays a critical part in the success of the go-to-market org by delivering key insights to Revenue leadership. This is a strategic, high-visibility opportunity to build and shape an operational function that is directly responsible for helping connect multiple cross functional workflows into our Revenue teams.  You will serve as the technical backbone of our go-to-market teams, ensuring the tools, systems, and integrations they rely on are efficient, scalable, and aligned with our business objectives.

 

Here are some things you’ll do on the job:

  • Define and analyze key sales metrics to inform our go-to-market strategy
  • Design, build and implement foundations for a variety of 0-1 initiatives within the Revenue Operations function.
  • Create and manage Salesforce reports and dashboards that provide actionable insights into business performance and uncover new growth opportunities.
  • Manage the CRM platform and other revenue tech stacks, ensuring proper utilization and data integrity including Customer.io, LeanData, Clay and other enrichment tools.
  • Identify inefficiencies and process bottlenecks, and implement solutions that drive continuous improvement in revenue operations.
  • Create, build and launch a scalable MQL to SQL Lead Scoring model in addition to shaping our Account Scoring framework.
  • Partner with the data team to ensure the integrity and accuracy of data, enabling effective reporting and decision-making for revenue-generating activities.

 

You should:

 

  • Have 6+ years of experience at a B2B SaaS company in a sales operations, revenue operations or business systems admin role (FinTech experience a plus but not required)
  • Get excited about a sick tech stack and want to help turbocharge it.
  • A deep understanding of Salesforce, Salesloft, LeanData, and Gong. You’re ready to roll up your sleeves to debug issues, optimize processes, and drive best practices.
  • Have hands-on experience integrating with Marketing Automation tools like Marketo, Hubspot, Customer.io,
  • Have experience creating and managing Lead and Account enrichment flows to support data accuracy and scalability.
  • Be a SQL wizard - have a passion for turning noisy data into meaningful insights - leveraging SQL or BI tools
  • Be comfortable working cross-functionally with key stakeholders across GTM teams
  • Have a passion for GTM playbooks to help equip our teams with actionable insights to drive consistency and success. 
  • Have strong organizational skills with a knack for managing multiple projects, timelines, and competing priorities.

 

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: $131,500 - $148,000 USD
  • US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $118,400 - $133,200 USD
  • Canadian employees (any location): CAD 124,300 - 139,900

 

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 here.

 

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