Were seeking a highly skilled GTM Systems Engineer who can take ownership of our companys go-to-market systems and operational infrastructure. Youll work closely with Sales, Customer Success, Marketing, Product, and Engineering to design, build, and maintain reliable GTM workflows, automations, and data flows. Youll turn messy real-world processes into scalable systems, remove operational friction, and ensure our GTM data is accurate, trusted, and decision-ready.
This is a high-impact, hands-on role where youll directly influence how efficiently our teams operate and how effectively we scale revenue.
Your Arena - Know your impact
Ensure our GTM systems are reliable, scalable, and trusted - so Sales, CS, Marketing, and Product can operate without manual workarounds or data confusion.
Eliminate operational drag by automating repetitive workflows, alerts, and handoffs across Sales, CS, Risk, and Product.
Ensure product and GTM data flows cleanly across systems, with clear definitions, reliable syncs, and minimal manual intervention.
Build scalable AI based intelligence systems that keep operational data accurate, complete, and decision-ready.
Run operations as a product: maintain a roadmap, ship iteratively, measure impact (hours saved, SLA reduction, pipeline lift), and continuously improve.
Own documentation and enablement so systems are understandable, auditable, and maintainable.
Requirements: Proven experience owning GTM / Ops systems in a SaaS environment, with a strong builder mindset (you ship, not just manage tools).
Deep ownership of a modern CRM as a system of record. This includes routing, workflows, data hygiene, etc.
Strong SQL fluency: you can investigate issues, validate assumptions, and reason across multiple data sources.
Experience designing reliable automations and integrations - including workflows, webhooks, retries, error handling, and monitoring.
Comfort integrating systems via APIs: authentication, payload design, debugging requests and responses.
Strong data quality instincts: you proactively prevent duplicates, broken syncs, mismatched definitions, and silent failures.
Clear operational communication: you can write clean docs, explain tradeoffs, and align stakeholders without chaos.
Ownership mentality: you can take a vague problem (this process is breaking) and drive it to a stable, measurable solution.
Nice-to-Have:
Experience with reverse ETL or syncing product data into GTM systems
Familiarity with databases, analytics tooling, and event-based data models.
Experience building enrichment or intelligence systems and managing cost vs. data quality tradeoffs.
Using AI/LLMs to responsibly automate classification, enrichment, summarization, or internal ops work.
Familiarity with reliability patterns (queues, backfills, alerting).
Awareness of data security and privacy best practices.
This position is open to all candidates.