Agentic GTM Lead - 64576888153

Agentic GTM Lead (Remote / LATAM)

Client / Industry: Institutional Asset Management & Wealthtech

Target Market: Latin America (LATAM - for New York EST time-zone overlap)

Position Type: Full-Time (40 hours/week)

Compensation

• Target Salary: $2,500 – $3,500 USD / month ($30k – $42k/year)
• Budget Flexibility

Location

• Remote (Must be LATAM-based or have full real-time overlap with U.S. Eastern / New York hours)

Schedule

• Full-Time (40 hours/week, aligning with U.S. Eastern time-zone business hours)

About the Company

Our client is a fast-growing, U.S.-based investment management firm building institutional-quality alternative investment solutions. Alongside their proprietary investment funds, they build white-label fund-of-funds products for leading independent multi-family offices and wealth advisory firms across the United States. They combine deep manager selection with sophisticated portfolio construction to deliver differentiated outcomes for wealth management clients.

Role Overview

The Agentic GTM Lead will build, run, and scale the firm’s go-to-market and demand-generation engine from scratch. This is a 0-to-1, execution-heavy "builder" role—not a strategy-only or management position. The ideal candidate pairs software engineering skills (Python, SQL, APIs) with commercial instinct and domain knowledge in finance or alternative investments. Reporting directly to Revenue Leadership and the Chief of Staff, this individual will own cold outbound systems, content/social engine operations, signal-based AI agent workflows, and data-driven A/B experimentation to generate pipeline and booked meetings with institutional wealth management decision-makers.

Key Responsibilities

• 0-to-1 Demand Experimentation: Proactively generate, test, and scale new demand ideas across outbound, social, SEO/GEO, and content, quickly scrapping non-performing initiatives.
• GTM Architecture & Automation: Build and maintain automated marketing/sales infrastructure using APIs, SQL, scripting (Python/JS), and orchestration tools (Clay, n8n, CRM/data plumbing).
• AI & Agentic Workflows: Design and deploy LLM-driven agent workflows to automate prospect research, personalized outreach, lead scoring, and routing at scale.
• Content Machine Management: Oversee the end-to-end production, packaging, and multi-channel distribution of content (podcasts, webinars, founder video clips, industry insights).
• Brand & Social Voice: Establish and maintain an active, recognizable thought-leadership presence on LinkedIn and X/Twitter targeting CIOs, Family Office Executives, and Wealth Managers.
• Signal-Based Outbound: Architect end-to-end cold outreach systems incorporating enrichment, intent signals, custom sequencing, deliverability tracking, and CRM routing.
• Performance Tracking & Analytics: Build attribution dashboards, track pipeline contribution, and run rigorous A/B tests to make data-backed growth decisions.

Hard Skills

• Programming & Scripting: Proficient with APIs, SQL, and Python or JavaScript (must build custom scripts, not just configure no-code tools).
• GTM & Automation Stack: Hands-on experience with Clay, n8n/Zapier, CRMs (HubSpot/Salesforce), data enrichment tools, and LLM APIs (OpenAI/Anthropic).
• Demand Gen & Outbound: Proven track record building outbound pipelines, SEO/GEO, and social media growth strategies that convert into booked meetings.
• Data & Analytics: Familiarity with attribution modeling, tracking systems, and data flow (experience with Snowflake/BigQuery/dbt is a plus).

Soft Skills

• High Agency & Autonomy: Self-starter who brings original demand ideas and executes without requiring step-by-step direction.
• Commercial Mindset: Ability to connect technical builds directly to pipeline, revenue, and booked meeting outcomes.
• Bias for Action: Fast-paced experimenter comfortable scrapping weeks of work if data shows lack of traction.
• Pinch-Hitter Adaptability: Willingness to step in and assist on adjacent operational or client-facing projects when required.

Qualifications & Experience

• ~4–6 years of experience in Growth Engineering, GTM Systems, or Technical Marketing Roles.
• Degree in Computer Science, Management Information Systems (MIS), Software Engineering, or equivalent technical experience.
• Domain Fluency: Direct experience or deep familiarity with asset management, hedge funds, alternative investments, or fintech. Candidates with personal projects like trading bots or financial modeling background will be prioritized.
• Full fluency in written and spoken English.