OVERVIEW

The client is building the world's first AI-native functional ingredients company, with $40M+ in venture funding from top investors. They've pioneered Superculture® ingredients: an entirely new class of clinically validated postbiotics, made from natural microbes, that target the root causes of unmet health needs for people and pets. They're launching one new clinically backed ingredient every year.

Their edge starts with one of the world's largest, most diverse biobanks of proprietary microbial strains, sourced from natural foods and environmental sources. On top of it, they've built a scientific platform spanning ingredient discovery, clinical trials, and manufacturing scale-up that lets their small team outcompete companies 100X+ their size. Now, they're rebuilding how a functional ingredients company operates from the ground up, and that transformation starts with their GTM function.

They're actively selling Superculture® Pet Oral and Superculture® Pet Immune to pet food and supplement brands. Less than a year in market, their ingredients are already powering dozens of products from leading pet brands, with overwhelmingly positive customer reception. One in three product launches using their ingredients has earned a #1 New Release on Amazon, and nine in ten of their customers are launching additional products with them.

Now they're scaling rapidly. They'll launch their first Superculture ingredient for humans later this year, opening up an entirely new market. And they're expanding internationally, starting with the EU/UK and China, with Australia/New Zealand and other APAC markets on the horizon.

ABOUT THE ROLE

The client is looking for a high-performing GTM Systems Lead to build the foundational systems that power their sales motions. This is an AI-native builder role. The person will design, build, and own the automated, human-in-the-loop systems and AI agents that multiply the team's capacity across the entire motion: signal-driven prospecting, lead qualification, outbound, the measurement layer, and the data infrastructure underneath.

The client wants someone who gets deep on how the team actually works, sees the inefficiencies across the GTM motion, and gets excited to build the systems and agents that fix them. The person will work directly with the VP of GTM and GTM Senior Manager, and closely with the AI-obsessed co-founders building the client's internal tooling. The goal is to supercharge the sellers, freeing them to spend their time selling and arming them with the data and insights to close far more than they could alone.

This is a commercial role, with success measured by the revenue the GTM team closes because of the systems built.

This is a full-time, in-person role at the client's headquarters in the Brooklyn Navy Yard, four days a week (Monday-Thursday, with Fridays optional WFH).

RESPONSIBILITIES

In this role, the person will report to the VP of GTM/Growth, and will work with the commercial team, co-founders, and key scientists to:
Expand top-of-funnel

• Build agentic outbound systems: target list building, enrichment, hyperpersonalized email and LinkedIn campaigns, and signal-based re-engagement (job changes, LinkedIn posts, press)
• Build agentic inbound lead qualification, routing, and customer segmentation that powers sharper value propositions by brand
• Automate market intelligence tracking (category growth, consumer trends) to inform targeted outbound and marketing content

Move deals through to revenue

• Automate the meeting cycle: pre-meeting research and prep, post-meeting follow-up emails, CRM updates, and next-step assignments
• Build automated rule-based deal flagging (stalled, at-risk, expansion opportunities)
• Build agentic systems for deal-specific research, custom presentations, and keeping validation databases and snippets current

Build and own the data and measurement foundation

• Map sources of all GTM data, define go-forward data structure, and build roadmap for ensuring the client's internal AI has access to a single source of truth on customers, pipeline, and revenue forecasts
• Serve as primary administrator and architect for the CRM (Attio): data model, custom objects, lifecycle stages, and the full integration layer
• Build and own the measurement layer across outbound campaign performance, inbound lead attribution, brand-building metrics (LinkedIn, website, SEO/AEO); develop feedback loops that turn data into action
• Continuously evaluate which tools in the stack earn their place

COMPETENCIES & QUALIFICATIONS

• 4+ years designing and building systems to support GTM/sales teams, ideally in a RevOps, BizOps, or GTMOps role at an AI-native B2B startup and with a track record of designing systems from user needs, not just maintaining existing stacks. Familiarity with Clay, Attio, Instantly, LinkedIn Helper, or Notion a plus.
• Systems thinking and design: designs and builds well-structured, end-to-end systems (defining inputs, outputs, use cases, and where humans stay in the loop) across multiple tools via APIs, webhooks, and no-code orchestration.
• High agency and builder mentality: identifies pain points, proposes solutions, delivers scrappy first cuts, and iterates on what works.
• AI-native: works daily in Claude Code or equivalent with strong prompt fluency, and decomposes workflows into reliable AI-powered steps.
• Analytical rigor: structured problem-solving (MECE, hypothesis-driven), comfortable with imperfect data, and consistently gets to "so what."
• Project management rigor: delivers against deadlines, surfaces obstacles with proposed solutions, and doesn't drop the ball.
• Clear and effective written and verbal communication.

WHY JOIN THE CLIENT

• Meaningful work: contribute to a category-defining biotech company at the frontier of postbiotic science.
• Growth and learning: the role expands as the client expands into new geographies and new ingredients. Work with cutting-edge AI tooling daily and develop commercial instincts alongside an experienced GTM leadership team.
• Ownership and autonomy: build the client's GTM stack with modern tooling and few legacy constraints, with end-to-end systems ownership. Early and sustained exposure to the CEO and Chief Science Officer.
• Team and culture: small but mighty team that's high-performing, kind, and AI-native.