Revenue Operations and Engineering Manager

Overview

ground cover is a fast-growing Series B startup delivering the industry’s most modern observability platform for cloud-native environments. Our approach is lightweight, instantly deployable, and built for today’s AI-driven, cloud-native, developer-first world. We’re redefining the category and are seeking an experienced Revenue Operations Manager to shape and execute a go-to-market (GTM) strategy that outpaces legacy players such as Datadog and Dynatrace.

You’ll join a team that partners across the full go-to-market lifecycle, from pre-sales prospecting through closed-won business and into the broader customer journey. This is a hands-on role for an experienced operations professional who acts as the architect of our GTM tech stack, building scalable, automated workflows rather than relying on manual processes.

You will own tactical work that keeps the business running while surfacing insights to help teams make better decisions, moving away from manual data entry toward proactive, programmatic solutions to revenue bottlenecks. You’ll help build how our revenue teams operate, support critical planning work, and contribute to emerging AI-enabled workflows and integrations that increase efficiency and decision quality.

• 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 the revenue leadership team.
• Partner on strategic projects and process improvements that help the business scale more effectively, such as 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.

• Define the GTM playbook for a key layer of the cloud-native stack, setting a new industry standard for how observability solutions are brought to market.
• Join a high-growth team at the forefront of Observability.
• Enjoy rapid career growth, high visibility, and a collaborative culture.

Location:

San Francisco, CA (Hybrid, 3 days/week in office)

This role might be for you if you have some of the following:

• 7–10+ years in operational roles requiring systems-level and team-level coordination. Previous roles could include marketing ops, sales or GTM ops experience. We require 2+ years of people management (or equivalent lead/mentorship experience). Candidates with experience in high-growth startups or mid-stage technology companies are preferred.
• Experience developing and executing go-to-market initiatives with sales and marketing partners, including exceptional communication skills to bring reps, SEs, marketers, and leadership along on the “why.”
• Advanced analytical skills with a track record in CRM ecosystems, funnel diagnostics, pipeline reporting, and predictive forecasting.
• Ability to distill complex data into strategic narratives for executive leadership beyond simple reporting.
• Deep fluency in the entire go-to-market lifecycle, including lead/account qualification, pipeline velocity, and conversion efficiency.
• Experience developing high-impact process frameworks and training resources that empower revenue teams to scale with speed.
• Thrives in a fast-paced startup environment, learns rapidly, and adapts to changing priorities.
• combines strategic acumen with tactical execution and collaborative cross-functional leadership, driven by a data-first methodology.
• Willingness to travel as needed for onboarding sprints.

• Domain knowledge in cloud-native technologies:
  Kubernetes, observability, eBPF, or Dev Ops tooling
• Familiarity with MCP, AI-driven integrations, and tools like Zapier or n8n to connect data sources
• Data skills:
  Proficiency in SQL and Python

• Competitive compensation (cash + equity)
• Medical, dental, and vision insurance
• Paid time off, including vacation and sick leave