Senior Go To Market Systems Engineer
Location: Remote (United States or Canada) Reports To: VP, Commercial Operations Executive Sponsorship: Chief Revenue Officer Type: Individual Contributor, full-time
About PerfectServe and Why This Role Exists Now
PerfectServe is a healthcare communication and clinical workflow company serving thousands of practices, hospitals, and health systems across the US. We help care teams communicate faster and route the right information to the right person at the right time.
This role exists because our go-to-market motion has the same problem every fast-growing B2B team has: Business Development Leads spending hours on prospect research, New Logo Sales Leaders prepping for calls from scratch, pipeline patterns that take a quarter to surface in a dashboard. We want to fix that with AI. The Senior Go To Market (GTM) Systems Engineer will build the agents and automated workflows that compress that work so our sales and marketing teams can spend their time on judgment, not repetition.
This is a hands-on engineering role embedded in Commercial Operations. You will report to the VP of Commercial Operations and have direct visibility with the CRO. Healthcare go to market is a regulated environment, and your work will need to respect HIPAA constraints when workflows touch customer or patient data.
What You Will Build
You will design and ship AI agents and automated workflows that move our revenue motion. Concretely:
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Lead enrichment agents built on Clay, Claygents, ZoomInfo, and Snowflake that turn raw inbound and outbound lists into ranked, contextual leads our new logo sales leaders want to call.
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Outbound personalization agents that write the first draft of cold outreach using the prospect’s role, recent context, and our positioning, so new logo sales leaders spend their time on judgment, not blank pages.
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AI-assisted New Logo Sales Leader research workflows that produce meeting prep, account briefs, and call summaries in minutes instead of hours.
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Pipeline pattern detection agents that read our deal data in Snowflake and surface stalled deals, churn risk, and acceleration opportunities to AEs and managers in real time.
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Agentic deal review and forecast support that helps managers spot what is real, what is slipping, and what to coach on before each forecast call.
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Salesforce and Pardot integrations that wire all of the above into the systems the team already lives in, with clean data flows back to Snowflake and BI.
The point is not to add another tool. The point is to use AI agents to compress the work that today eats sales leaders and manager time, and to make the rest of the GTM motion faster, more consistent, and more measurable.
What Success Looks Like
We measure this role by what changes in the GTM motion, not by the number of workflows shipped.
By month 3. You have shipped at least one agent in production, on a real workflow, with measurable adoption by new logo sales leads. You have a clear point of view on the highest-leverage next three workflows and a shipping plan for them.
By month 6. Manual research and prep time across sales and marketing workflows is meaningfully reduced (target 40 to 60 percent). Outbound and inbound engagement quality is measurably higher. You own a roadmap of agentic workflows in production, and adoption is healthy.
By month 12. AI agent adoption is part of how the team operates, not a side experiment. Pipeline velocity, lead quality, and conversion show measurable contribution from the workflows you have shipped. New sales leaders onboard onto an AI-assisted workflow stack from day one.
What You Will Bring
Required:
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6 to 9 years of experience in GTM engineering, RevOps, growth, product, or a related B2B technical role.
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Hands-on experience building AI workflows or agents that solve real business problems. Comfortable working with Claude or comparable models, comfortable writing and tuning prompts, comfortable wiring agents to tools and data.
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SQL fluency. You can write your own queries against Snowflake or comparable data warehouses to measure the impact of what you ship.
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Experience integrating across CRM (Salesforce), marketing automation (Pardot or comparable), and a modern GTM stack. You should be able to read API docs, design integrations, and own them end to end.
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Strong analytical and systems-thinking ability. You can move from a vague business problem to a working solution and iterate from data.
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Effective written and verbal communication. You will be working with sales, marketing, and the CRO directly.
Strong plus:
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Hands-on with one or more of: 6sense, Clay (including Claygents), ZoomInfo, Power BI, dbt.
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Python or comparable scripting. You do not need to be a software engineer, but you should be able to reach for code when the no-code path runs out.
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Prior experience in healthcare or another regulated industry where data governance shaped your work.
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Prior experience as the first or early AI engineer at a GTM org.
Role Scope
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Individual contributor. No direct reports.
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Embedded within the Commercial Operations organization. Cross-functional collaboration with Marketing, Sales, SDR, and Operations.
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Direct interaction with executive leadership including the Chief Revenue Officer.
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Remote, US or Canada based. Some occasional travel for offsites and team meetings.
What We Offer
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The chance to build something that changes how the team actually works, with a real mandate and executive visibility from day one.
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A real seat at the GTM table. The CRO is the executive sponsor of this role and the workflows you build will be visible at the leadership level.
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Modern tooling and a mandate to use it. We are not asking you to bolt AI onto a 2018 stack. We are asking you to design what comes next.
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Competitive compensation, full benefits, equity participation, and remote flexibility.
