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GTM Engineer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Numeric
Full Time position
Listed on 2025-11-30
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 120000 USD Yearly USD 80000.00 120000.00 YEAR
Job Description & How to Apply Below

Why Numeric

Every business relies on accounting. Yet most software in the space was built in the early 2000s — clunky, slow, and miles behind where AI is today. At the same time, accounting teams are being crushed by a growing data problem: more systems, more volume, more complexity, and not enough people to keep up.

Numeric is building the modern financial data platform for accounting and finance. We weave together data, workflows, and AI-first products so accounting teams can move from manually pushing numbers in spreadsheets to architecting the financial data set and designing workflows that do the work for them.

We have strong product–market fit and a growing base of customers who love our product — including Plaid, Brex, OpenAI, and many more. We’re backed by top-tier investors including Menlo Ventures, IVP, Founders Fund, and 8VC, along with founders and executives from Ramp, Segment, and other category-defining companies.

About the role

We’re building a world-class growth engine, and we’re missing a very specific type of person: someone who operates like a product manager for the go-to-market org.

Your mandate is to:

  • Work horizontally across marketing, sales, and post-sales

  • Understand how work really gets done

  • Design and ship internal tools, automations, and micro-products that 10x the output of the team

If successful, you’ll impact the growth trajectory of the entire company and employ the same diagnostic acumen + problem solving prowess that a best in class PM leverages.

What you’ll do

Your first big tour of duty will be building the engine behind our content program
:

We already produce excellent content (webinars, interviews, long‑form pieces, templates). Today, we’re probably using ~5% of what that content could do for us.

Your job is to turn that content into a compounding, systematized growth engine — something that makes our “company brain” a little smarter with every piece of content.

Over time, you’ll expand this approach beyond content into events, ABM, ads, product marketing, partnerships, and sales to ensure every person on the GTM is operating at the highest possible level.

This means:

  • Own the full lifecycle of internal “products”
    From problem discovery → spec → build → rollout → adoption → iteration. Talk to your “users” (our internal GTM teams), look at usage data, and continually refine.

  • Building internal tools, micro-products, and automations
    Use no‑code / low‑code / light code (Zapier, Make, n8n, Notion, Airtable, Webflow, Supabase, scripts, AI agents, etc.) to ship scrappy but powerful tools that do things like:

    • Turn a single webinar into dozens of assets across channels

    • Transform Gong calls into structured insights our team can actually use

    • Make it trivial to spin up and measure repeatable campaigns

  • Turn our data into a “second brain” for go‑to‑market
    Design systems that ingest customer conversations, content, and campaign performance, and make that knowledge searchable, reusable, and actionable for marketing, sales, and solutions.

  • Drive experiments that move real numbers
    Prototype and run experiments that increase reach, speed, personalization, and conversion. Instrument them, measure what matters, and kill what doesn’t work quickly.

What makes us excited about you
  • You’re a systems thinker who loves to build.
    You see funnels, workflows, and messy processes and instinctively start drawing boxes and arrows. You get energy from turning chaos into clean systems that actually run.

  • You’re obsessed with new tools and the frontier.
    You play with AI tools (Claude, GPT, etc.), no‑code platforms, and prototypes on nights and weekends — not because you have to, but because you’re genuinely curious. You’ve built or glued together workflows using tools like Zapier, Make, n8n, Notion, Airtable, Webflow, Supabase, Google Sheets, Air Ops, Retool, Replit, etc. You’ve “vibe‑coded” a few side projects for fun.

  • You’re comfortable living close to the data.
    You’re happy pulling from CRMs, analytics tools, content libraries, and call transcripts, and shaping them into something people can actually use.

  • You care about outcomes, not just output.
    You want to see a chart move: more qualified leads, higher conversion, faster…

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