Fully Remote Revenue Systems Architect: GTM & AI-Driven CRM

UpGuard

United States

Remote

USD 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Monthly Lifestyle subsidy

WFH set-up allowance

Learning & Development allowance

Annual leave

Parental Leave

Personal Leave Allowance

Fully remote working environment

Top-spec hardware

Generative AI subsidy

Health Insurance

Job summary

United States Digital Space LLC is seeking a GTM systems engineer to own the systems powering our go-to-market motion. This hands-on role starts with administering and improving our GTM tooling, then grows into architectural ownership of how CRM, CPQ/billing, and CS systems fit together.

You should have 1–3 years of hands-on experience with an object-oriented CRM, Salesforce or HubSpot, and a systems mindset.

Qualifications

Hands-on building and maintaining an object-oriented CRM system.
Salesforce and HubSpot experience is ideal, but strong object-model fluency in a comparable system is what matters most.
Salesforce Administrator certification (or a clear path to it) is a strong plus; HubSpot CRM experience is a strong plus.
A genuine point of view on CRM architecture. You can articulate why a design choice matters — object relationships, permission models, automation patterns — not just execute a ticket.
You execute reliably against written instruction and know when to raise a hand with a better idea.
Deep comfort with the permission model — profiles, permission sets, field-level security, and teams/roles.
A general systems mindset. You'd be comfortable — not lost — if we handed you a Sales Engagement or Customer Success project instead of a Salesforce one.
An intermediate AI / Claude-specific mindset — you've used LLM tooling meaningfully and think about where agents fit into an ops workflow.

Responsibilities

Administer and improve our GTM stack — day-to-day ownership of our GTM tools: users, objects, fields, workflows, automations, integrations, validation logic, and data hygiene.
Own access and security at the data layer. Design and enforce granular, field- and property-level access controls using profiles, permission sets, and field-level security — not the UI.
As we lean into AI agents and API-driven bulk actions, ensure automated processes respect each user's permission scope at the data layer, where it actually counts.
Build automation that enforces process — deal-stage gates, handoffs, territory and eligibility logic, and the workflow actions that keep our sales process clean.
Partner on architecture. Work directly with Rev Ops on how CRM, CPQ/billing, and CS systems integrate — and increasingly drive those decisions yourself as you ramp.
Work across systems, not just the CRM. Pick up projects in adjacent tools and apply the same systems thinking regardless of vendor.
Document what you build — clear SOPs and process documentation for the systems you own.