Revenue Operations and Engineering Manager

groundcover•San Francisco, CA

5d•Hybrid

About The Position

groundcover is a fast-growing Series B startup delivering the industry’s most modern observability platform for cloud-native environments. Unlike traditional tools that are brittle, costly, and complex, our approach is lightweight, instantly deployable, and built for today’s AI-driven, developer-first world. This role is for a highly technical operator who acts as the architect of our GTM tech stack; someone with a developer mindset who builds scalable, automated workflows rather than relying on manual processes. This is a hands-on role for an experienced operations professional who wants to work across systems orchestration, API integrations, data integrity, funnel analysis, and forecasting support in the modern dev-driven environment. You will own the tactical work that keeps the business running while surfacing the insights that help teams make better decisions, moving away from manual data entry and toward proactive, programmatic solutions to revenue bottlenecks. You’ll help build how our revenue teams operate, support critical planning work, and directly contribute to emerging AI-enabled workflows and integrations that increase efficiency and decision quality.

Requirements

7–10+ years in operational capacities that required systems-level and team-level coordination. Previous roles could include marketing ops, sales or GTM ops experience.
2+ years of people management (or equivalent lead/mentorship experience).
Experience developing and executing on go-to-market initiatives with both sales and marketing business partners, including exceptional communication skills, with the ability to bring reps, SEs, marketers, and leadership all along on the “why.”
Advanced analytical prowess, with a history of navigating CRM ecosystems, funnel diagnostics, pipeline reporting, and predictive forecasting.
A talent for moving beyond simple reporting to distill complex data into strategic narratives for executive leadership.
Deep fluency in the entire go-to-market lifecycle, encompassing lead/account qualification, pipeline velocity, and conversion efficiency.
Successful background in developing high-impact process frameworks and training resources that empower revenue teams to scale with speed.
Demonstrated ability to thrive in a fast-paced startup environment, learn rapidly, and adapt to changing priorities.
Fusion of strategic acumen, tactical execution, and collaborative cross-functional leadership, driven by a rigorous data-first methodology.
Willingness to travel as needed for onboarding sprints.

Nice To Haves

Domain knowledge in cloud-native technologies: Kubernetes, observability, eBPF, or DevOps tooling.
Familiarity with MCP, AI-driven integrations, and working with tools like Zapier or n8n to bring the data story together.
Data Skiils: Proficiency in SQL and Python.

Responsibilities

Support the go-to-market organization with day-to-day operations execution across the sales cycle.
Build, maintain, and improve data correlations and dashboards that help teams understand pipeline health, funnel performance, forecasting, and channel effectiveness (sales, marketing, partner).
Drive strong data hygiene and operational consistency across core systems and workflows. Develop ETL processes to ensure data quality and integrity, building a "single source of truth" for revenue data across departments.
Analyze revenue data to identify trends, gaps, and actionable insights, and translate findings into clear recommendations for your revenue leadership team.
Partner on strategic projects and process improvements that help the business scale more effectively, like adopting new technologies, integrating existing stack more seamlessly, and building SOPs.
Contribute to annual strategic planning activities such as territory planning, database review and enrichment, and broader revenue planning support.
Help advance the team’s use of AI and prompt-driven workflows by testing, refining, and improving practical use cases for business teams.