AI Operations & GTM Engineer

About Us:

We love going to work and think you should too. Our team is dedicated to trust, customer obsession, agility, and striving to be better everyday. These values serve as the foundation of our culture, guiding our actions and driving us towards excellence. We foster a culture of performance and recognition, allowing us to transform growth as we enable our employees to do the best work of their careers.

This role is open to candidates based in or near San Francisco, CA. At Logic Monitor, we hire within our Centers of Energy—vibrant locations where our teams connect, collaborate, and innovate.

To learn more about life at Logic Monitor, check out our Careers Page () .

What You ll Do:

Logic Monitor® is the AI-first hybrid observability platform powering the next generation of digital infrastructure. Logic Monitor delivers complete visibility and actionable intelligence across on-premises, cloud, and edge environments. By anticipating issues before they strike, optimizing resources in real time, and enabling faster, smarter decisions, Logic Monitor helps IT and business leaders protect margins, accelerate innovation, and deliver exceptional digital experiences without compromise.

Our customers love Logic Monitor s ability to bring cloud and traditional IT together into one view, as seen in minimal churn rates, expansion business, and exciting new customer references. In fact, Logic Monitor has received the highest Net Promoter Score of any IT Infrastructure Management provider. Logic Monitor also boasts high employee satisfaction. We have been certified as a Great Place To Work®, and named one of Built In s Best Places to Work for the seventh year in a row!

We are hiring a GTM Engineer to help build the systems that power customer lifecycle reporting and operations for a fast-scaling AI business. Customer signals span the full journey, from sales handoff through implementation, adoption, and renewal or expansion, and the team needs one trusted way to bring them together.

This is a builder role for someone who is curious, business- and data-fluent, and excited about AI. The right person can take loose requirements and turn them into working prototypes or production-ready code using SQL, Python, scripts, and AI-assisted coding tools.

The role blends business operations, data architecture, and technical build work. It is a strong fit for someone who can translate messy operating needs into practical workflows, reporting, and system logic that help leaders make decisions from data.

Here s a closer look at this key role:

• Build the canonical customer operating data layer

• Connect Salesforce, Jira, Langfuse, Snowflake, product telemetry, and related sources into one usable customer view.

• Surface customer health and product adoption signals so leaders can quickly see where intervention is needed.

• Build executive-facing reporting, visualizations, and operating views for accounts, health, adoption, and leadership readouts.

• Translate lifecycle definitions and stage entry / exit criteria into system requirements.

• Build and maintain integrations, reconciliation logic, data recency checks, source-of-truth mapping, and history/backfill support.

• Support automation jobs, alerts, backend reliability, and the semantic layer that powers BI and reporting surfaces.

• Support AI summaries and account readouts with structured, attributed, current data.

• Partner with business and technical stakeholders to turn reporting needs into workflows, data structures, and durable code.

• Define requirements for stage movement, time-to-value, customer health, and product adoption.

• Maintain the architecture needed for history, freshness, reconciliation, and reporting consistency.

• Work closely with source-system owners and BI / data partners.

• Help define field hygiene, metric definitions, and data governance for customer lifecycle reporting and operations.

• Data governance mindset: you think in systems, not fixes, building and documenting standards, and hold the line on data quality over time.

What You ll Need:

• 5+ years in customer operations, lifecycle operations, CX operations, Rev Ops, Sales Ops, Biz Ops, Product Ops, data engineering, analytics…