GTM Engineer

BackOps AI

$120K — $145K *
Business Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years experience in GTM systems, Revenue Operations, or related technical role in a complex B2B organization.
  • Proven track record of building user-centric tools and systems, with measurable adoption metrics.
  • Strong technical skills in SQL, APIs, data models, and automation tools; hands-on building experience preferred.
  • Deep understanding of GTM operations with the ability to influence revenue-driving behaviors.
  • Ability to define and solve ambiguous business problems by creating effective systems and processes.
  • Experience with complex enterprise data models involving multiple stakeholders and systems.
  • High autonomy and comfort navigating ambiguity in a fast-paced environment.

Responsibilities

  • Build tools for AEs, Solutions Engineers, and CSMs to enhance operational context and decision-making.
  • Create a structured view of automation opportunities from various inputs, optimizing discovery processes.
  • Implement systems to track pilot projects for quicker insights on adoption and customer value.
  • Develop AI-driven workflows to streamline follow-ups and administrative tasks post-customer interactions.
  • Identify expansion opportunities by connecting product usage with account insights and workflow signals.
  • Design GTM data models for complex enterprises, ensuring accurate representation of relationships and workflows.
  • Establish observability for data quality across the GTM stack to ensure reliability and integrity.

Benefits

  • Opportunity to shape the GTM systems and automation as the first GTM Engineer.
  • Direct collaboration with GTM leadership to address real operational challenges.
  • Support from notable investors including Theory Ventures and Gradient.
  • Equity ownership potential and comprehensive benefits package.
Full Job Description
The Role

We're hiring our first GTM Engineer to build the systems, automation, and data foundation that make our go-to-market organization more effective as we scale.

You'll sit at the intersection of Sales, Customer Success, and our product and data systems, turning complex GTM workflows into tools that help the team understand accounts faster, identify the right customer problems to solve, move opportunities forward, and clearly demonstrate the value BackOps delivers.

That challenge is particularly interesting at BackOps. We sell into large enterprises with multiple sites, stakeholders, systems, and workflows, where traditional CRM structures and off-the-shelf RevOps playbooks break down quickly. You'll help us design the infrastructure behind that motion while also building practical, field-facing tools that make the team better today.

One of your first priorities will be building what we call the value ledger: a reliable, continuously updated view of the value BackOps creates for each customer and workflow: from hours saved to claims filed, exceptions resolved, and response times improved. Done well, it becomes a shared source of truth for customer outcomes, renewals, expansion, and storytelling.

This is a hands-on builder role. You'll work directly with GTM leaders and the field to identify bottlenecks, structure ambiguous problems, prototype solutions, ship quickly, measure adoption and impact, and evolve what works into durable systems.

What You'll Do

Build leverage for the field

  • Build tools that give AEs, Solutions Engineers, and CSMs the context they need to act quickly, including account structure, locations, systems, stakeholders, workflows, pilots, and recommended next actions.
  • Create a workflow discovery system that can turn discovery calls, customer SOPs, ticket exports, and other inputs into a structured, ROI-ranked view of automation opportunities.
  • Instrument pilots and POVs so the team can quickly understand progress, adoption, conversion risk, customer value, and what needs attention.
  • Build AI-enabled workflows that reduce administrative work after customer interactions: drafting follow-ups, extracting next steps and product feedback, and proposing CRM updates for review.
  • Surface expansion opportunities by connecting product usage, customer outcomes, account context, and workflow-level signals so the field knows where to go deeper and why.


Build the infrastructure behind it

  • Design the GTM data model for complex enterprise customers, including parent/account/site relationships, buying groups, workflows, pilots, ownership, and stage logic.
  • Build and maintain the value ledger, connecting product activity and operational outcomes to a defensible view of value realized at the account and workflow level.
  • Create a reusable context layer that powers GTM tooling with trusted information about accounts, stakeholders, product usage, workflows, and recommended actions.
  • Establish data-quality observability across the GTM stack, including completeness, freshness, duplicates, orphaned records, stale ownership, and broken integrations.
  • Partner with GTM leadership on where systems, automation, process, or operating-model changes can unlock greater productivity and scale, not simply where another tool should be added.


At this stage, we expect the role to spend more time building the underlying GTM data and systems foundation, with an increasing portion of time focused on field-facing tooling as that foundation matures.

What You'll Bring

  • 5+ years of experience across GTM systems, Revenue Operations, technical operations, growth, automation, business operations, or another applied technical role supporting a complex B2B organization.
  • A track record of building things people actually use. You can point to systems, tools, automations, or workflows you shipped, how users adopted them, and how you improved them after launch.
  • Strong technical fluency with SQL, APIs, data models, automation/orchestration tooling, and modern AI-enabled development tools. You don't need to be a full-time software engineer, but you should be comfortable building rather than only configuring.
  • Strong GTM and commercial judgment. You understand how sellers and customer teams operate, what information changes behavior, and the difference between a technically interesting system and one that actually helps move revenue.
  • The ability to structure ambiguous business problems and translate them into systems, processes, and operating models, not simply execute against a predefined requirements document.
  • Comfort reasoning about complex enterprise data models, including organizations with multiple sites, stakeholders, systems, and workflows.
  • High agency and comfort operating in ambiguity. There is no large RevOps or data organization to hand requirements to; you'll work directly with the field, form a point of view, build, test, and iterate.


Nice to Have

  • Experience working in an early-stage or high-growth environment where you helped establish systems before the organization scaled.
  • Experience in supply chain, logistics, manufacturing, or another complex, multi-site enterprise vertical.
  • Familiarity with a modern GTM stack spanning CRM, cloud data infrastructure, enrichment/orchestration, BI, and related tooling.
  • Experience building with or alongside AI agents, copilots, and LLM-enabled workflows rather than only using them as end-user tools.
  • Experience in strategy, consulting, or business operations that strengthened your ability to structure ambiguous GTM problems, paired with demonstrated technical building depth.


This May Not Be the Role for You If

  • You primarily want to administer a CRM or manage a collection of SaaS tools rather than build systems and workflows yourself.
  • You enjoy data infrastructure but have little interest in how Sales and Customer Success actually operate or make decisions.
  • You prefer long build cycles and highly specified requirements over shipping, testing with users, and iterating quickly.
  • Your default response to a new GTM problem is to buy another tool before understanding whether we can solve it more simply or effectively ourselves.
  • You want a clearly bounded function with established processes, dedicated supporting teams, and a predefined roadmap.


Why BackOps

  • Be our first GTM Engineer and shape the systems, automation, and data foundation behind a rapidly scaling enterprise GTM motion
  • Work directly with GTM leadership and the field to turn real customer and seller bottlenecks into tools that create meaningful leverage
  • Backed by Theory Ventures, Gradient, Construct Capital, and 10VC
  • Competitive salary, meaningful equity, and comprehensive benefits

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