Senior Engineering Manager - GTM
Mercury is hiring a Senior Engineering Manager - GTM for a remote role open to applicants in United States. It pays $239k-$299k a year and Level rates it ; you can apply on Mercury.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include TypeScript, Node.js and Salesforce.
- Level lists 77 other open roles at Mercury.
- The role was posted within the past week.
AI in this role
Lead a GTM engineering team building systems and integrating AI workflows to optimize marketing, sales, and product acquisition channels.
A business should feel like it’s having one conversation with Mercury, even when that conversation moves from a marketing email to a salesperson to the product itself. We’re building a new GTM Engineering function to connect those moments and help more businesses discover what Mercury can do for them.
As Senior Engineering Manager, you’ll help build a new engineering function within an established product organization. You’ll shape its technical direction and turn its early GTM engine into dependable production systems, starting with a team of 2–3 engineers. Working closely with Product, Data, Marketing, and Revenue, your first priority will be connecting product and marketing efforts so we can see what runs, understand what works, and improve it. It’s an opportunity to shape how the team works from the beginning, with Mercury’s resources and scale behind you.
This is a hands-on leadership role. You’ll investigate unfamiliar systems, build and validate early solutions, and help engineers take ownership as those solutions grow. The work spans TypeScript and Node.js services, Customer.io, Salesforce and Snowflake, with connections to Mercury’s core application and Haskell backend.
As part of this role, you will:
- Set the technical strategy for Mercury's GTM engine. Decide which capabilities to build and how they connect with existing marketing, sales and data systems.
- Build orchestration that turns product launches and ongoing GTM strategies into coordinated workflows, connecting audiences and signals to actions across channels.
- Improve the technology behind inbound and outbound sales motions, including how prospects are identified, enriched, qualified and routed, and how sales teams act on those signals.
- Make it easier to understand and improve GTM results. Build dependable workflows and measurement into the systems the team delivers, so we can identify failures, test new approaches and see what contributes to acquisition and expansion.
- Use AI to improve GTM workflows and how the team builds software. Guide capabilities from prototype to dependable use, with evaluation, testing and appropriate human review, and measure whether they improve outcomes.
Required experience:
- Strong experience in either GTM engineering (including marketing technology) or growth engineering.
- Professional engineering management experience, backed by recent hands-on engineering work.
- Practical experience using AI to build software or improve workflows, with the judgment to evaluate results and make them dependable.
- Experience shipping AI-powered GTM workflows is strongly preferred. Your domain experience and practical AI experience may come from different roles or projects.
*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.
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.
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Total Rewards
The total rewards package at Mercury includes base salary, equity (stock options/RSUs), 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 (any location):$239,000—$298,800 USDCanadian employees (any location):$225,900—$282,400 CADHow we rate this
Senior Engineering Manager - GTM at Mercury rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where engineering management was part of your work. What did you do?
- Tell me about a project where growth engineering was part of your work. What did you do?
- Tell me about a project where marketing technology was part of your work. What did you do?
- Tell me about a project where ai workflows was part of your work. What did you do?
- Walk me through how you've used TypeScript in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Engineering Management, Growth Engineering, Marketing Technology, AI Workflows, and TypeScript. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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