Revenue Operations Manager

Plasmidsaurus•San Francisco, CA

2d•$125,000 - $140,000

About The Position

Plasmidsaurus is hiring a Revenue Operations Manager to help scale the systems, data infrastructure, and intelligent workflows that power our commercial organization. You will build the integrated data and automation infrastructure with a focus on AI enablement that allows the Plasmidsaurus sales and marketing teams to operate at a higher level. You will ensure Account Managers, Customer Success managers, Inside Sales reps and Marketing get the data, signals, and tools they need to identify the right accounts, reach those accounts with the right context, and measure what is working. This is a highly visible, cross-functional role with broad ownership across CRM operations, automation, enrichment, reporting, commercial intelligence, and AI-driven workflow development. The position reports to the VP of Revenue Operations.

Requirements

2–6 years of experience in Revenue Operations, Sales Operations, GTM Operations, Commercial Operations, Business Systems, or related analytical roles in high-growth startup or scale-up environments.
Experience building and managing CRM workflows through AI enablement, reporting infrastructure, commercial automation, and operational systems that are actively used by customer-facing teams.
Demonstrated success improving commercial productivity through systems, process design, and data infrastructure.
Experience partnering cross-functionally with Sales, Customer Success, Marketing, Finance, Product, and Engineering teams.
Experience operating in fast-moving, ambiguous startup environments.
Strong experience with CRM systems such as HubSpot or Salesforce, including workflow automation, field configuration, and data quality management.
Experience working with data warehouses and reporting environments such as Snowflake, Sigma, Looker, Metabase, BigQuery, Redshift, or similar tools.
Familiarity with enrichment platforms such as Apollo, SciLeads, ZoomInfo, or related tools.
Experience building workflow automation using APIs, AI tooling, low-code automation platforms, or scripting (Python, Zapier, Make, or equivalent).
Strong analytical and problem-solving skills with the ability to translate data into operational insight.
Structured problem-solver who can break ambiguous commercial questions into actionable systems and workflows.
Curious about why accounts grow, churn, expand, or stall.
Systems thinker who enjoys designing scalable operational processes.
Highly organized with strong attention to detail and operational rigor.
Comfortable balancing strategic projects with hands-on execution.
Excellent communication and stakeholder management skills.
Strong ownership mentality with a bias toward action and continuous improvement.
First-principles operator who draws on previous experience to build what’s next

Nice To Haves

Experience using LLM APIs such as OpenAI or Claude within operational or analytical workflows is strongly preferred.

Responsibilities

Build Commercial Operations Infrastructure: Design, develop, and scale the workflows, systems, integrations, and governance processes that power the commercial organization.
Build CRM enrichment, deduplication, account hygiene, and data quality processes that improve operational efficiency and reporting reliability.
Develop account tiering, segmentation, and classification automation to support scalable GTM planning and execution.
Identify operational bottlenecks and improve workflows that help field teams spend more time with customers and less time managing data.
Maintain and evolve commercial systems, enrichment cadences, and reporting infrastructure as the company scales.
Implement AI, Automation & Commercial Intelligence: Build and deploy AI-enabled workflows that improve commercial productivity, prioritization, and decision-making.
Develop LLM-powered account summaries, contact intelligence, signal scoring, and agentic business development support workflows.
Create proactive alerting systems for expansion signals, churn risk, publications, funding announcements, hiring activity, and other commercial triggers.
Evaluate emerging AI and automation tools that can improve speed, insight generation, and customer engagement.
Improve Commercial Visibility & Decision-Making: Create self-serve dashboards and reporting that help field teams and commercial leadership understand account health, pipeline performance, and growth opportunities.
Build reporting around account tier coverage, product attach rates, pipeline velocity, geographic performance, RNA-seq sample growth, repeat order behavior, and customer engagement.
Develop automated MBR and QBR data packages for commercial leadership.
Support forecasting, territory planning, segmentation, and strategic business reviews.