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About the Role
Serval is seeking an AE Productivity Lead to establish a center of excellence focused on dramatically increasing AE productivity. This role involves translating best practices from top performers into scalable automated workflows and systems, utilizing Serval's product and other AI/automation tools. The position blends product management and GTM engineering responsibilities, requiring the analysis of AE workflows to build tools, automations, and improve pipeline generation, with the ultimate goal of increasing ARR per AE.
Responsibilities
- Find and codify what top performers do differently
- Study how top AEs actually spend their week and identify the specific behaviors, sequences, and habits that separate them from others
- Partner with Enablement and Revenue Strategy & Operations to distinguish what is teachable skill from productizable workflows, and take ownership of the second category
- Turn those findings into a prioritized build roadmap, ranked by expected impact on ARR
- Ruthlessly remove low-value work
- Audit where AE hours actually go and attack the categories that produce no pipeline and no customer value
- Treat every recurring manual task as a candidate for automation, elimination, or reassignment
- Hold the line against process that gets added faster than it gets removed
- Build the automations and the tooling
- Develop AE automations in Serval's product and other AI tooling that streamline the daily grind: account research, outreach, deal execution, data entry, follow-up, and CRM hygiene
- Build rep-facing tooling that helps an AE run their own book without relying on manual effort or other stakeholders
- Develop sequences and AI messaging prompts that make pipeline generation low-friction and repeatable across the team
- Ship fast, measure whether reps actually adopt, and kill what does not get used
- Contribute AE workflow requirements across the stack
- Identify friction points keeping AEs from getting full value out of our existing tools
- Develop requirements for AE workflows in our tech stack: define what good looks like, then partner with Business Systems on what should be built durably and with Enablement on what needs to be taught
- Be the single voice representing the AE's daily experience in tooling and systems decisions
Requirements
- 5-8+ years across some combination of GTM engineering, revenue operations, sales productivity, or product management, with real depth in at least one and working fluency in the others
- Hands-on building experience. You have shipped automations, internal tools, or workflows that people actually used, and you can build a working version yourself rather than writing a spec and waiting
- Fluency with modern GTM and AI tooling: sales engagement platforms, data and enrichment tools, workflow automation, and AI prompting. You know what these tools can and cannot do because you have pushed them
- Deep curiosity and familiarity with how an AE's week actually works.
- Product instincts: you can tell the difference between something reps say they want and something they will use every day
- Strong analytical skills. You can instrument what you build, measure adoption, and tie it back to a revenue metric.
- Comfort operating cross-functionally and holding a clear scope boundary with adjacent teams without turf-fighting
- Comfort with ambiguity and a bias to build. This is a new function with a hard target and no playbook
- Must be willing and able to work onsite five days per week in San Francisco, CA
Skills
- GTM engineering
- Revenue operations
- Sales productivity
- Product management
- Workflow automation
- AI prompting
- Sales engagement platforms
- Data and enrichment tools
- Analytical skills
Location
- San Francisco, CA
Work Type
- Onsite
Experience Level
- 5-8+ years
Benefits
- Impact: Be a key player in shaping the success of our product and company.
- Growth: Build a fundamentally new AI product offering with the support of our experienced team and investors. Grow rapidly with the company.
- Culture: Join a culture that values innovation, ownership, accountability, and fun.
About the Company
- Serval is an AI-native automation platform transforming how enterprises operate.
- We build intelligent agents that understand real-world workflows and execute them end-to-end — replacing manual processes and rigid legacy systems with adaptive, learning software.
- Founded in early 2024, Serval is already trusted by companies like Fox, Notion, Perplexity, Vercel, and Brex to automate high-volume, high-friction operational work across their organizations.
- At the core of Serval is an agentic AI platform that turns natural language into production-grade workflows.
- Our agents don’t just respond to requests — they reason, take action across systems, and continuously improve with usage.
- What began with operational use cases has quickly evolved into a horizontal AI automation layer used across IT, HR, Finance, Security, Legal, and Engineering.
- Our mission is to eliminate repetitive, manual work across the enterprise and give teams leverage through intelligent automation.
- Long term, we’re building the universal AI operations layer — a system of agents that sits across business functions and runs the workflows that keep modern companies moving.
- We’re backed by leading investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, Elad Gil, and others.