Senior GTM Systems Engineer

DNSFilter

3d•Hybrid

About The Position

DNSFilter is revolutionizing network security with AI-driven threat protection and content filtering. We are a rapidly growing SaaS company seeking a Senior GTM Systems Engineer to architect and configure our core go-to-market platforms. This role is crucial for supporting our product-fueled growth by enhancing our solutions for the global market. The ideal candidate is a seasoned Salesforce technologist with a systems-thinking approach, a focus on data quality, and expertise in building adopted and maintainable automations. This is a full-time role within a fast-paced, hyper-growth environment.

Requirements

7+ years of Salesforce Admin/Sr. Admin experience with custom objects, flows, and demonstrated progressive platform ownership.
Experience configuring HubSpot, including workflows, lifecycle management, forms, and Salesforce integration.
Hands-on experience with at least one CS platform (Vitally, Gainsight, or similar).
Demonstrated experience building and maintaining cross-platform integrations and familiarity with the standard revenue operations stack: ZoomInfo, Gong, 6sense, etc.
Strong understanding of GTM system models: lead-to-opportunity, account/contact hierarchy, deal stages, customer segments, etc.
Experience integrating LLMs or AI tools (Claude or similar) into GTM platforms and workflows.
Ability to write clear technical documentation and explain architecture decisions to non-technical stakeholders.
Ability to work hours overlapping with ET hours.
Must be eligible to work in the region of hire without sponsorship now and/or in the future.

Nice To Haves

Prior ownership of a full system migration or major re-architecture (e.g., consolidating two Salesforce orgs, replacing a legacy CRM).
Prior experience with core platform architecture reviews, preferably Salesforce.
Salesforce Platform App Builder or Developer certification.
Project management experience, including coordination with external consulting partners.
Familiarity with core RevOps metrics: pipeline, deal velocity, ARR, lead conversion, customer health, etc.
Exposure to data warehouse tooling and how GTM data lands there.
Asks "why" before building -- understanding the business need before reaching for a solution.
Thinks about the downstream impacts of decisions on data quality, user experience, and system performance.
Communicates proactively, flags blockers early, and documents work clearly.
Pushes back constructively when scope creeps or requirements don't hold up technically, and brings alternative solutions to the table.

Responsibilities

Own the technical design and configuration of Salesforce, HubSpot, Vitally, and Zendesk, including data models, object relationships, field governance, and validation rules.
Build and maintain Flows, Apex triggers, and custom objects in Salesforce to support complex, multi-channel GTM logic.
Configure HubSpot workflows, lifecycle stages, lead scoring, and campaign attribution to support Marketing and BDR operations.
Manage Vitally health scores, segments, playbooks, and integrations to support Customer Success (CS) efforts.
Design and maintain real-time and batch integrations across the GTM stack and into adjacent systems (billing, product analytics, data warehouse).
Own API-level connections and define sync logic between Salesforce and HubSpot.
Partner with the Lead Operations Engineer to ensure GTM data and downstream reporting are trustworthy and aligned to business processes.
Identify and eliminate manual work for GTM teams through automation (lead routing, lifecycle transitions, renewal triggers, health alerts, expansion signals).
Architect automations with maintainability in mind (documented, testable, and easily understandable).
Own the strategy for embedding AI (primarily Claude) into GTM platforms and workflows.
Build and deploy AI-assisted automations within Salesforce, HubSpot, and Vitally (intelligent lead scoring and routing, deal risk detection, call and email summarization, CS health signal enrichment).
Connect AI capabilities to GTM data through APIs, MCP integrations, and platform-native AI features with proper governance guardrails.
Measure the impact of AI implementations on team productivity, data quality, and revenue outcomes.
Champion data hygiene across all platforms: define standards, build enforcement rules, and create processes that keep records clean at the source.
Establish and maintain a change management process: version control, sandbox testing, release notes, and rollback plans.

Benefits

Pathway to promotion based on results and performance, not just time in the chair.
Passionate and intelligent colleagues who work hard and have a good time doing it.
Paid company-wide week off at the end of each year.
Flexible Vacation Policy.
Awesome company swag.
Full medical, dental, and vision benefits for US, UK, and Canada-based employees.
Full short-term disability and life benefits; available long-term disability.
Retirement savings account options with vested company matching for qualifying employees.
In-person annual gatherings.
Opportunity to advance compensation based on performance over time.