GTM Engineer

Attentive

4h•$140,000 - $180,000

About The Position

As a GTM Engineer at Attentive, you will serve as an embedded technical builder within Revenue Operations, reporting to the VP of Revenue Operations. This role is designed to increase the speed, adaptability, and leverage of our go-to-market organization by building smart, lightweight solutions on top of our core systems landscape. You will partner closely with our RevTech team, which owns the foundational systems roadmap and long-term architecture, while operating in a distinct lane: moving quickly to solve high-value GTM problems that do not need to wait for the core roadmap. This includes designing and deploying fast, thoughtful solutions across workflow automation, data enrichment, AI-enabled processes, and bespoke internal tooling that reduce manual work and improve the quality of our go-to-market signals. This role is ideal for someone who is highly technical, pragmatic, and deeply motivated by shipping real solutions quickly. You should be excited by ambiguity, energized by business problems, and constantly looking for ways to make our teams faster, smarter, and more effective.

Requirements

Strong experience building workflows, automations, or internal tools in GTM, Revenue Operations, and adjacent technical roles, ideally in a high-growth SaaS environment.
4+ years of experience working across GTM systems such as Salesforce, Gong, enrichment tools, and automation platforms, with a strong track record of improving process through systems.
Hands-on experience with GTM systems and automation tooling, such as Salesforce, Gong, Zapier, enrichment platforms, AI workflow tools, or similar technologies.
Strong systems judgment, including the ability to distinguish between workflows that should be solved through fast, bespoke builds versus those that require more durable, enterprise-grade solutions.
A high-agency builder mindset: You are entrepreneurial, resourceful, and comfortable operating off-leash within clear swim lanes. You do not wait for perfect requirements to get started.
Demonstrated ability to move quickly and independently, turning loosely defined business problems into practical, working solutions with limited oversight.
Fluency with AI tools and emerging automation capabilities, along with genuine curiosity about how to apply them in practical ways to improve business operations.
Strong cross-functional instincts and communication skills, with the ability to work directly with technical and non-technical stakeholders and quickly understand where pain exists.

Responsibilities

Build fast, high-impact GTM solutions: Design and ship workflows, automations, and internal tools that improve how our Sales and Customer Success teams operate day to day.
Reduce manual work across the GTM organization: Eliminate repetitive rep and CSM tasks by automating data capture, field population, handoffs, enrichment, and workflow steps across tools like Salesforce, Gong, and other GTM systems.
Increase signal density and data usefulness: Improve the quality of the data we collect and surface by auto-populating the fields that matter most, enriching customer and pipeline data, and making key signals easier for teams to act on.
Identify and deploy AI-enabled workflows: Proactively explore how AI, agents, and automation platforms can improve go-to-market productivity, reduce operational burden, and create leverage before every underlying system is fully mature.
Operate with speed and pragmatism: Build with a clear point of view on where speed matters most versus where durability and enterprise-grade tooling are required. Move quickly on bespoke internal workflows while partnering on more critical, cross-functional processes appropriately.
Self-source high-value opportunities: Work directly with frontline teams and leaders across Sales, CS, and RevOps to identify friction, uncover inefficiencies, and generate a pipeline of projects that materially improve how the business runs.
Own outcomes, not tickets: Drive work end-to-end from problem identification through implementation, adoption, and iteration—with success measured by business impact, speed, and usability.