GTM Engineer at talentpluto

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

28 Jun, 26

Salary

200000.0

Posted On

30 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Go-To-Market, Outbound Engine, Demand Generation, Automation, CRM Hygiene, Workflow Design, Sequencing, Lead Qualification, Experimentation, Documentation, Analytical Skills, Ownership Mindset, Communication, Tool Learning, Reinforcement Learning, AI Infrastructure

Industry

technology;Information and Internet

Description

Location: San Francisco, CA (relocation supported); exceptional remote candidates considered Work model: Hybrid/onsite preferred (early-stage, in-person collaboration encouraged) Industry: Enterprise AI infrastructure / Reinforcement Learning (RL) tooling Compensation: $130,000–$200,000 base salary (variable compensation and equity offered; details based on experience and final role design) About the Company (our partner) Our partner is an early-stage, high-growth startup building a highly technical platform in the reinforcement learning (RL) ecosystem. Their product helps organizations with valuable proprietary data create production-grade RL environments—and also enables companies to commercialize and sell RL capabilities externally. The team is small, elite, and moving quickly, with strong early traction and significant institutional backing. The Opportunity Our partner is hiring a Founding GTM (GTM Engineer / GTME) to own and build the company’s outbound and demand-generation engine from the ground up. This is not a traditional BDR role. You will design and run a modern, systems-driven pipeline machine—combining tooling, automation, and sharp customer targeting to consistently produce qualified meetings and pipeline. You’ll work closely with the leadership team in a high-performance environment, with meaningful ownership over the playbook and significant runway to expand scope (e.g., additional channels, lifecycle motions, experimentation, and broader growth initiatives). Responsibilities Build and operate an end-to-end outbound engine: targeting → list building → enrichment → sequencing → booking meetings Own CRM hygiene and workflow design to ensure leads move cleanly from sourcing through qualification Implement and iterate automation systems (e.g., workflow tools, enrichment, sequencing, routing, scoring) Define and improve qualification standards for meetings/leads in partnership with leadership Run structured experimentation on messaging, audiences, and channels to improve conversion rates Build durable documentation and internal processes so the motion scales beyond a single person Partner with engineering and product teams to stay aligned on positioning, ICP refinement, and feedback loops Requirements Strong analytical and operational skills with a demonstrated ability to build systems (not just execute tasks) High ownership mindset: comfortable operating with ambiguity and setting your own plan/metrics Excellent organization and follow-through (you reliably manage pipelines, tasks, and priorities) Strong written communication for outbound messaging and clear internal documentation Comfort learning new tools quickly; experience with CRMs and automation tooling is a plus (e.g., workflow automation, enrichment, sequencing) Ability to work effectively in a fast-paced startup environment with high standards and rapid iteration Authorized to work in the U.S. or open to visa sponsorship (sponsorship may be available) Nice to have Experience building outbound or growth systems (e.g., GTM ops, growth, sales ops, rev ops, automation-heavy SDR/BDR work) Familiarity with AI / developer tooling ecosystems and technical buyer personas Experience using automation tools (e.g., n8n) or modern prospecting stacks

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Responsibilities

The role involves building and operating an end-to-end outbound engine, covering targeting, list building, enrichment, sequencing, and meeting booking. Responsibilities also include owning CRM hygiene, implementing automation systems, defining qualification standards, and running structured experimentation.