About the Role

This is the foundational GTM engineering role at Klarity — you'll build the revenue operating system from the ground up.

You'll work directly with executives and GTM leadership to design and build the infrastructure that powers how we sell: pipeline workflows, forecasting systems, deal acceleration tooling, and the full post-sale lifecycle. This isn't maintaining someone else's Salesforce instance — it's architecting how an AI-native company goes to market.

The opportunity is unique: high visibility, high leverage, and genuine ownership. You'll operate as both product manager and engineer for the GTM org, translating messy business needs into elegant systems that compound over time. The infrastructure you build will directly impact pipeline velocity, forecast accuracy, and customer success — and you'll see that impact immediately.

Why this matters now: Klarity is in the top percentile of companies actually operationalizing AI — using it internally and delivering it to customers. You won't just read about AI in GTM; you'll be building with it daily, experimenting with agents and workflows, and pushing the frontier of what's possible.

If you're energized by ambiguity, love building systems that create leverage, and want to shape how a fast-growing company scales its revenue engine — this is the role for you.

What You'll Do

Own and build Klarity's GTM operating system

• Build and maintain the systems that power revenue execution, including opportunity management, pipeline workflows, forecasting infrastructure, deal desk handoffs, and post-sale workflows.

• Own Salesforce architecture and development in service of GTM strategy, including data models, automation, validation rules, triggers, and integrations.

Operate like an internal product manager

• Own internal GTM "products" end-to-end: problem discovery, system design, build, rollout, adoption, and iteration.

• Partner closely with Sales, Marketing, Customer Success, and GTM Operations leadership to translate messy business needs into clean, scalable system design.

Design AI-native GTM workflows

• Build AI-forward automations that improve deal velocity and GTM productivity — surfacing next-best actions, triggering timely follow-ups, improving routing, enrichment, prioritization, and reducing manual work.

• Experiment with AI agents, workflows, and lightweight tooling to continuously improve how the GTM team operates.

Connect and evolve the GTM tech stack

• Integrate and orchestrate tools across Marketing, Sales, Customer Success, and Finance into a cohesive GTM operating system.

• Build and maintain reliable data pipelines that improve data quality, reporting trust, and operational consistency across systems.

• Support programmatic GTM motions, including outbound, enrichment, account-based workflows, and lifecycle automation.

Own outcomes, not just systems

• Define, instrument, and own key GTM system metrics (deal velocity, conversion by stage, forecast accuracy, rep productivity).

• Run experiments, measure impact, and iterate systems to drive real improvements in pipeline health and execution.

What You'll Bring

• 4+ years of experience in one of the following:

  • GTM systems, Revenue Operations, Sales Operations, or GTM Engineering

  • Data engineering/analytics or business intelligence

  • Software engineering (especially internal tools, platform engineering, or B2B products)

  • Solutions engineering or technical roles with strong system-building experience

• Proven ability to build and own end-to-end systems — whether that's GTM infrastructure, data pipelines, internal tooling, or customer-facing products.

• Strong Salesforce experience (admin + development), including:

  • Apex and SOQL

  • Salesforce APIs and integrations

  • Workflow automation and scalable data model design

  • Lightning experience (components a plus)

  • OR a track record of quickly learning complex enterprise platforms

• Strong SQL skills and experience with data modeling, ETL/ELT, or building data-driven systems.

• Proven ability to integrate and orchestrate systems — whether using no-code tools (Zapier, Make, n8n, Clay), data platforms (dbt, Airflow, Fivetran), or building custom integrations via APIs and scripting.

• Ability to work closely with non-technical stakeholders and translate ambiguous business problems into well-designed technical solutions.

• A builder mindset: curiosity, ownership, comfort shipping quickly and iterating, and excitement about creating leverage through automation.

• Genuine excitement about using AI to make work smarter, faster, and more automated.

Who You Are

• Sees a messy spreadsheet and thinks "I can automate this by Friday" — your brain automatically maps workflows into systems, and you get a genuine thrill from turning chaos into something that just... works.

• Ships fast and iterates faster — you'd rather deploy something useful today and improve it tomorrow than spend three weeks building the "perfect" solution no one needs yet.

• Measures success in impact, not code quality — sure, elegant architecture is nice, but what really gets you going is watching a metric move or hearing "this saved me 10 hours a week."

• Takes ownership of problems like they're yours to solve — when someone says "we need to figure this out," you don't wait for permission or a perfect brief. You're already sketching solutions and moving.

• Experiments with AI tools because you can't help yourself — you're the person Slacking "did you see what I just built with [new tool]?" You tinker because you're curious about what's possible.

• Builds with people, not just for them — you can sit with an SDR and understand their daily frustrations, then walk an exec through ROI, and create something both of them will actually use. You care about making their work better.

• Brings momentum to ambiguous situations — unclear priorities energize you rather than paralyze you. You cut through fog with clarity and forward motion.

If you just nodded along to most of these, we should talk.

What Success Looks Like

• GTM teams experience faster deal velocity and fewer workflow bottlenecks because the funnel runs smoothly end-to-end.

• Salesforce becomes a trusted system of action — clean, scalable, and aligned to how Klarity sells and delivers value.

• Forecasting and pipeline visibility materially improve through better workflow design, data integrity, and automation.

• Manual busywork decreases as AI-forward workflows handle routing, enrichment, prioritization, and next-best actions.

• Post-sale handoffs and lifecycle workflows are reliable and repeatable, enabling scale without linear headcount growth.