About Plasmidsaurus
Plasmidsaurus is on a mission to accelerate new cures and promote a healthier planet by unlocking a new level of productivity for scientists. Our sequencing services are used daily by thousands of innovators, including Nobel laureates, Fortune 100 pharma, and over 70,000 scientists.
We began by revolutionizing plasmid sequencing, making it exponentially cheaper and faster, with innovative sequencing technologies and a global network of laboratories that turn samples into answers in hours, not weeks.
Now we are expanding that same disruptive model across all of genomics. With the launch of our new RNA-seq service, we are taking a bold step toward our vision to sequence everything, providing scientists everywhere with faster, simpler, and more affordable access to the data that powers discovery.
Every team member at Plasmidsaurus plays a crucial role in driving the future of biotech research. Together, we are building the world’s most efficient sequencing engine that operates overnight, scales globally, and helps scientists make breakthroughs faster than ever before.
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.
What You’ll DoBuild Commercial Operations InfrastructureDesign, 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.
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.
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.
90 Days
Complete a CRM and commercial systems assessment baseline.
Create development project plan after assessment based on impact prioritization.
Improve CRM data quality and automation measurably from baseline.
6 Months
Launch self-serve reporting for tier coverage, product attach, and pipeline velocity.
Deploy proactive alerting workflow generating actionable signals for field reps.
Initiate commercial usage of AI-led business development response workflows.
Build a scalable commercial intelligence infrastructure used across the field organization.
Enable full usage of automation tools for customer research and engagement.
Reduce commercial team non-essential administration time to less than 5% weekly.
Experience
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.
Technical & Analytical Skills
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).
Experience using LLM APIs such as OpenAI or Claude within operational or analytical workflows is strongly preferred.
Strong analytical and problem-solving skills with the ability to translate data into operational insight.
Ways of Working
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
We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will thrive with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, please let us know at [email protected].
Plasmidsaurus South San Francisco, California, USA Office
South San Francisco, CA, United States
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine


