Revenue Operations Manager, US
Botify · New York, US ·
- Category
- Sales
- Experience
- 2+ years
Botify · New York, US ·
Botify’s leading agentic AI search technology and seasoned experts ensure every brand has the power to be found, both in traditional and AI search. With one powerful platform, brands achieve visibility, relevance, and greater control across Google, Bing, ChatGPT, Perplexity, and more.
Botify’s technology powers agentic workflows, AI-driven recommendations, and automated cross-platform indexation and deployment. Brands maximize visibility wherever consumers, bots, and AI agents search, protecting and capturing revenue across all search platforms.
Trusted by 500+ leading brands including Macy’s, Levi’s, Farfetch, the New York Times, and Marks & Spencer, Botify drives digital discovery, sustained profitability, productivity, and brand authority in an AI-first world.
Industry research shows that women and those in traditionally underrepresented groups generally don't apply to jobs unless they check all the boxes for the role. If you feel strongly that you have what it takes for this role but don't check 100% of the boxes - that's okay - we encourage you to apply anyway and highlight what you can bring to the table!
As the RevOps Manager (US), you will operationalize Botify's global revenue processes across the US market, partnering closely with Sales, Marketing, and Account Management to drive productivity, forecast accuracy, and scalable growth. Reporting to the Senior Manager, RevOps, you'll translate strategy into day-to-day execution. You will own pipeline, forecasting cadence, and deal operations, and you will build the automated, AI-assisted workflows that keep our lead-to-revenue and quote-to-cash motions consistent, fast, and aligned with global standards.
Title: Revenue Operations Manager, US
Reports to: Senior Manager, RevOps
Location: New York City, NY. Onsite 2 to 3 days per week
Travel: Occasional for kickoffs, enablement, and cross-functional workshops
Run the US forecast, pipeline, and QBR cadence in line with global definitions and stage criteria.
Drive pipeline quality: stage hygiene, aging remediation, conversion analysis, and coverage ratios.
Support global Rules of Engagement (RoE) and lead/account ownership standards.
Build and maintain regional dashboards for pipeline health, conversion, cycle time, forecast accuracy, ARR growth, NRR/GRR signals, and attribution.
Root-cause performance gaps and recommend actions to Marketing, SDR, AE, and AM leaders.
Operate the regional deal desk: enforce discount guardrails, term standardization, and approvals.
Coordinate with Legal, Finance, and Security on non-standard terms, aligned to global playbooks.
Reduce time-to-quote, increase pricing and packaging consistency, and improve booking accuracy.
Design, build, and maintain automated workflows across the GTM stack (n8n preferred) to remove manual work: lead routing, data enrichment, alerting, deal desk approvals, CRM hygiene, and reporting.
Own US execution in Salesforce and the GTM stack (CPQ, engagement, routing, enrichment).
Partner with Global RevOps on integrations, data governance, lead routing, and attribution consistency.
Document workflows and monitor them so they stay reliable and easy to hand over.
Using AI is a prerequisite in this role, not a bonus. You are expected to work with AI assistants (Claude and similar) as part of your daily toolkit: analyzing data, drafting documentation and playbooks, investigating pipeline anomalies, and accelerating research and reporting.
Embed AI into the GTM workflows you build, covering enrichment, summarization, classification, account research, and signal interpretation, so the team gets leverage, not just you.
Apply good judgment on data quality, privacy, and verification: you know what to automate, what to review, and what to keep human.
Partner with Sales Enablement to onboard reps, reinforce methodology (MEDDICC / Command of the Message or equivalent), and drive adoption of global processes.
Localize and deliver playbooks, dashboards, and "how to win" guides for the US team.
Serve as the US point of contact for global RevOps, and coordinate with the EMEA team across time zones.
Feed regional learnings back into global standards to continuously improve effectiveness.
2+ years in Revenue Operations, Sales Operations, or a related role; enterprise SaaS experience preferred.
Demonstrated ownership of forecasting, pipeline management, and deal desk.
Strong Salesforce administration and operations experience; familiarity with CPQ is a plus.
Hands-on experience building and maintaining automated workflows (n8n ideally; Zapier, Make, Workato, or similar considered), including APIs, webhooks, and data mapping.
Fluent, daily use of AI assistants in your work, with a clear point of view on where they help and where they don't.
Skilled in data storytelling; able to translate insights into action for GTM leaders.
Excellent stakeholder management; comfortable influencing without authority.
Salesforce (must have), Salesforce CPQ, n8n, Claude, Clay, Gong, and a sales engagement platform.
Hands-on experience with Clay.
Growth operations knowledge: intent data, buying signals, signal-based prospecting and scoring, and how to turn them into routing and prioritization workflows.
Experience with multi-country enterprise contracting patterns and pricing or packaging iterations.
Familiarity with enterprise data management and attribution modeling.
$ 90,000 - $110,000 annual salary + bonus
Unlimited Time Off
11 company holidays
16 weeks of parental leave
Summer Fridays
Health & wellness perks; ClassPass Subscription
Team building events and initiatives
Flexible work policy
Company-sponsored health, vision and dental insurance
Commuter benefits
401k
We are proud to be an equal-opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
This position is not eligible for employment visa sponsorship.