AI Automation Lead
TaskRabbitOn-demand Home company
San Francisco, United States$175,000 - $225,000Lead
First Round Capital
Collaborative Fund
Facebook
Shasta Ventures
Baseline Ventures
Floodgate Fund
Data & AI
About the role
TL;DR
Lead AI automation efforts to improve internal operations efficiency.
- •We are looking for a hands-on builder to lead our 'AI for Work' efforts.
- •This role is focused exclusively on internal operations.
- •Reporting to the Director of AI Strategy and Enablement, you will embed directly within our business functions, map and reimagine how work gets done, and build the AI agents, automations, and internal tools that make our teams dramatically more efficient.
- •Key Responsibilities Discover & diagnose: Embed with business teams across functions to map end-to-end workflows, surface high-impact automation opportunities, and redesign work from first principles.
- •Build: Independently design, build, and deploy agents, automations, and internal tools that eliminate repetitive work and improve output quality and consistency.
- •Measure: Establish baselines before every intervention; define and track the right business metrics for each function to validate real impact, not just adoption.
- •Enable: Train and enable non-technical teams to identify, scope, and eventually build their own automations.
- •Influence: Serve as a trusted translator between business problems and technical solutions; partner with senior leaders to align automation priorities with company OKRs.
- •Scale: Build reusable patterns and playbooks so successful automations in one function can be adapted and scaled across the organization.
- •Requirements Experience: 2+ years of hands-on experience building AI agents, automations, and internal workflows professionally.
- •Industry: Marketplace or Gig economy company strongly preferred.
- •Business partnership: Proven ability to embed with non-technical business teams, run structured discovery, and translate workflows into automation opportunities.
- •Enablement: Track record of building AI capability in others, not just building for them.
- •Stakeholder influence: Track record of moving skeptical or resistant stakeholders from hesitation to adoption.
- •Impact measurement: Data-driven approach to measuring impact.
- •Technical depth: Builder-level fluency with LLMs and agentic frameworks.
- •Builder mindset: Scrappy, self-directed execution style.
Required skills
Anthropic APILLMsCI/CDDockerKubernetes
Benefits & perks
Health insurance, 401k match, Flexible time off, Wellness stipends, IKEA discounts, Reproductive health support
Tech stack
Anthropic APILLMsCI/CDDockerKubernetes
