Runbook Logo

Runbook

Founding Enterprise AE

Posted 3 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
300K-350K Annually
Senior level
In-Office
San Francisco, CA, USA
300K-350K Annually
Senior level
Own full-cycle enterprise sales for Runbook, from prospecting and discovery through negotiation and close. Drive seven-figure deals with CTO and CIO buying committees, build accurate pipeline forecasts, and develop the company’s enterprise sales playbook. Define qualification, discovery, objection handling, competitive positioning, and outbound strategies while partnering with leadership, BDRs, product, and GTM teams. Help establish repeatable sales processes and provide customer insights that influence the product roadmap.
The summary above was generated by AI

About Runbook

Runbook is the fastest way to deploy AI agents in the physical economy: logistics companies, manufacturers, construction firms, and field-service operators that keep the world running. These industries largely run on manual, repetitive, labor-heavy, error-prone operational processes. Runbook combines best-of-breed agent capabilities and a deployment platform designed for business process owners that enables 100s of agents to built with enterprise-grade reliability and control.

Our first customers include Fortune 200 enterprises who were unable to solve the target workflows for years, even while working with the best names in AI and hyperscaler platforms. No other solution came close to Runbook's, which was live in production in 2 weeks, without a human-in-the-loop.

We've raised $15M in Seed funding and our founding team includes Obaid Khan (ex-founder of Motive, scaled sales from $0 to $300M ARR), Chris Ramesh (former AI Product Lead at Discord).

What You'll Own

Full-Cycle Enterprise Sales

• Own every stage: discovery, multi-threaded account strategy, business case, negotiation, and close

• Drive seven-figure deals with discipline across complex CTO and CIO buying committees

• Build and maintain a rigorous pipeline with forecast accuracy

GTM & Playbook Development

• Define how Runbook sells: qualification standards, discovery frameworks, objection handling, and competitive positioning

• Partner with Obaid and the GTM team to sharpen ICP, messaging, and outbound strategy

• Feed product and leadership with field signal; your deals will shape the roadmap

Setting the Standard

• The processes and deal structures you build will be the foundation for every AE hired after you

• Partner with BDRs to align outbound targeting and executive engagement strategy

Who You Are

• 7+ years of full-cycle enterprise AE experience with a documented history of seven-figure deals

• You've sold horizontal SaaS to CTO/CIO buyers - not a narrow vertical product with a pre-built story

• Skilled in presenting demos with variable use cases across multiple industries

• You're a builder: energized by the absence of process, not slowed down by it

• Direct, coachable, builder mindset, and highly accountable

• Used to high-velocity pipeline generation, including prospecting, in-depth discovery, variable use cases, objection handling, and deal closure

Similar Jobs

8 Minutes Ago
In-Office or Remote
San Mateo, CA, USA
128K-180K Annually
Mid level
128K-180K Annually
Mid level
Artificial Intelligence • Legal Tech
As a Customer Success Manager, you'll lead customer onboarding and renewals, ensuring adoption of AI in legal workflows and developing relationships with key stakeholders.
Top Skills: AICollaboration ToolsLegal TechProductivity SoftwareWorkflow Automation
8 Minutes Ago
Hybrid
Santa Clara, CA, USA
126K-195K Annually
Mid level
126K-195K Annually
Mid level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Designs, builds, tests, and supports Access Analyzer features on the ServiceNow platform. Develops server-side Glide/JavaScript, UI components, REST APIs, and access-control functionality using ACLs and roles. Owns features from design through production, contributes to automated testing, code reviews, defect triage, documentation, and release readiness, and collaborates across product, quality, and security teams. The role also involves mentoring peers and responsibly using AI-assisted development tools.
Top Skills: AbacAclsCi/CdFlow DesignerGlideJavaJavaScriptMySQLRbacRest ApisServicenowSQL
8 Minutes Ago
Hybrid
Mountain View, CA, USA
Entry level
Entry level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and deploy production AI systems across conversational search, agentic orchestration, evaluation frameworks, safety guardrails, and ML infrastructure. Prototype and ship LLM-powered features, solve challenges involving NLP, retrieval-augmented generation, context management, and latency, and develop benchmarks for accuracy and security. Collaborate with product managers, UX designers, and senior engineers while contributing to enterprise AI products used by millions of users.
Top Skills: C++GoInference EnginesInformation RetrievalLarge Language ModelsMachine LearningMl PipelinesNatural Language ProcessingPythonRetrieval-Augmented GenerationVector DatabasesVector Search

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account