Growth Marketer

Chief of Staff & Project Manager - Force of Nature Job Description: Growth Systems Hacker (GTM & Signal) Location: Remote Type: Part-Time or Freelance (with path to full-time) Reports to: Founder & CEO (San Francisco) Force of Nature is building the Growth Operating System for the AI era . We are launching Growth Signal — a productized, executive‑grade growth intelligence report designed to help CMOs and Heads of Growth make better decisions from data , without dashboards, meetings, or noise. We are looking for a highly quantitative, systems‑minded Growth Hacker to own the Growth Signal GTM engine and partner with product to help shape the Growth Pulse layer. This is not a channel‑operator role. This is not a “run ads” role. This is a data‑driven judgment role . Force of Nature is a distributed team with: Core execution team based in Argentina & Uruguay Executive leadership based in San Francisco You will: Work async‑first Collaborate daily with Spanish‑speaking teammates Spend most of your time thinking, analyzing, and building , not meeting Spanish fluency is a plus but not required. Comfort working with global, highly technical teammates is required . You sit at the intersection of: Quantitative analysis Product‑led GTM Your job is to: Use data to determine what Growth Signal should surface Build GTM loops driven by real signal , not anecdotes Partner with product to define what executives need to see to act (or not act) You are not just distributing Growth Signal. You are shaping what intelligence looks like . 1️⃣ Build the Growth Signal GTM Engine (Primary) You will design and run product‑led, asynchronous GTM experiments powered by data. This includes: Quantitative analysis of outreach performance Segmenting ICPs based on response patterns Evaluating willingness‑to‑pay signals Running controlled pricing and cadence experiments No phone‑heavy sales. Data + artifacts do the selling. 2️⃣ Build Dashboards, Reports, and Decision Views (Critical) This is a core requirement , not a side task. You will: Build dashboards to track GTM performance Analyze report engagement and downstream behavior Create structured summaries of what the data is actually saying Translate messy signals into clear decisions You should be comfortable: Designing your own reporting views Working with raw datasets Asking “what decision does this data support?” How you reason with data than what tools you use to visualize it. 3️⃣ Partner with Product on Growth Pulse (Critical) You will work closely with: Product Data Strategy teammates (primarily LATAM‑based) What signals belong in Growth Pulse What signals mislead executives How confidence and restraint should be reflected in data This role is a bridge between GTM reality and product intelligence . You will: Define success metrics before launching Analyze results rigorously Kill experiments without attachment Experiments are judged on: Signal clarity Decision impact Repeatability Not vanity metrics. You will use AI to: Generate hypotheses Create analytical summaries Accelerate reporting and insight generation AI fluency is assumed. AI judgment is the differentiator. This role is ideal for someone who: Thinks in distributions, not anecdotes Enjoys building dashboards and decision views Is comfortable working with imperfect data Can explain why a signal matters Cares more about correctness than speed Is energized by ambiguity and systems‑building You might come from: Growth roles with heavy analytics ownership Private equity / investing / operating roles Strategy consulting with strong data orientation Product analytics or GTM analytics roles Scrappy growth roles where you owned the numbers end‑to‑end You must be able to: Build and interpret dashboards Work directly with raw data Identify false positives and noise Decide when data is insufficient Support or block decisions with evidence If you don’t enjoy this, this is not the role. You: Write clear hypotheses Define metrics upfront Know when results are inconclusive Avoid overfitting small samples You: Think in loops and feedback Care about compounding effects Build processes that survive scale Explain tradeoffs Required Demonstrated experience using data to make growth decisions Comfort building reports or dashboards Experience running real experiments (not just analysis) Ability to work independently and asynchronously Strong analytical reasoning Strong Bonus Private equity, finance, or investment background Experience with SQL, Python, or similar Experience working with LATAM teams Experience shaping product analytics or signal design First 60–90 Days Clear quantitative understanding of ICP fit Evidence‑backed pricing hypotheses 6 Months Growth Signal generating meaningful revenue Product signals sharpened by real‑world GTM data Clear documentation of what signals matter and why You will help define a new category You will shape both GTM and product intelligence High autonomy, high trust Async‑first, low‑meeting culture Global team with strong technical depth Founder who values rigor, restraint, and judgment This is a role for someone who wants to build the decision engine , not just drive traffic. Send: A short note on how you use data to make decisions One example of a dashboard or analysis you built One experiment where the data told you not to proceed We care far more about how you think than where you’ve worked. Seniority level Entry level Employment type Full-time Job function Marketing and Sales Industries Advertising Services #J-18808-Ljbffr