Full-Time

Go-To-Market Lead

Posted on 5/1/2025

Operator

Operator

11-50 employees

Full-stack platform for conversational AI agents

No salary listed

Company Does Not Provide H1B Sponsorship

San Francisco, CA, USA

In Person

Category
Growth & Marketing (2)
,
Required Skills
LLM
Sales
Requirements
  • 2+ years of professional experience in a similar or adjacent role (e.g., GTM, growth, sales, biz dev, sales engineering, or product).
  • Familiarity with state-of-the-art Large Language Models, including their strengths and weaknesses.
  • Extreme autonomy—ability to set goals, create plans, and deliver results without a playbook.
  • Excellent writing and communication skills.
  • Systems thinking—ability to clearly break down complex problems, reason from first principles, and avoid hand-waving.
  • Extensive Large Language Model usage—actively leveraging LLM tools to their fullest potential in personal projects and daily work.
Responsibilities
  • Designing, running, and measuring GTM experiments—including marketing campaigns, positioning refinements, outbound sequences, and custom demos.
  • Prototyping and deploying agent prompts on the Operator platform to solve real customer workflows.
  • Partnering closely with founders in the sales cycle—qualifying leads, conducting demos, closing deals, and growing accounts.
  • Building our growth stack—including analytics dashboards, landing pages, and automated workflows—to scale impact without increasing headcount.
  • Working directly with customers, as expected of every founding team member.
Desired Qualifications
  • Experience working at early-stage and fast-growing companies.
  • Experience building a B2B GTM function from scratch.
  • Consulting-grade analytical training (e.g., Bain/BCG) or similar rigor applied to growth loops.
  • Fluency with sales/growth tooling (Clay, HubSpot, Zapier, Airtable, Amplemarket, etc).
  • Comfort selling to operations teams and C-suite alike.

Operator offers a full-stack platform for building and running multi-channel conversational AI agents. Developers use a single codebase to power voice, chat, SMS, and other channels, supported by tooling for observability, evaluation, and release management. The system is designed for global scale with high availability and low latency, including automatic healing, load balancing, and failover, and the platform lets you write channel adapters once and deploy them everywhere, plus post-conversation workflow automation and context-preserving warm transfers. Its aim is to help teams create and manage reliable enterprise-grade AI agents across channels, with SOC 2 and HIPAA compliance, SLAs, and dedicated enterprise support.

Company Size

11-50

Company Stage

Series B

Total Funding

$25M

Headquarters

San Francisco, California

Founded

2014

Simplify Jobs

Simplify's Take

What believers are saying

  • Enterprise demand for compliant, production-ready AI agents drives custom enterprise SLA revenue.
  • Warm transfers and context preservation create stickiness in customer service and support workflows.
  • Global infrastructure with automatic healing and failover captures latency-sensitive voice AI workloads.

What critics are saying

  • Kore.ai's agent orchestrator and Knowledge Graph erodes enterprise market share within 12 months.
  • Open-source frameworks achieve 80% feature parity, commoditizing paid tiers by 18–24 months.
  • Sierra's Agent SDK with CI/CD tooling directly undermines developer platform differentiation.

What makes Operator unique

  • Full-stack platform integrates voice, chat, SMS with unified observability and release tooling.
  • Team from Stripe, Coinbase, Figma brings proven infrastructure scaling and product expertise.
  • Subscription model with free tier, startup, enterprise tiers enables broad developer adoption.

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Benefits

Flexible Work Hours

INACTIVE