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Lead, GTM Analytics & Applied AI

Job in Waipahu, Honolulu County, Hawaii, 96797, USA
Listing for: Owner.com
Full Time position
Listed on 2026-06-09
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Why we are looking for you

We're building the most data‑driven GTM organization in SMB technology space, and we need dedicated analytics and applied AI leads to support our Sales and Marketing engines.

At Owner, the Business Operations team doesn't just analyze the business. We build products and systems that drive it. Our GTM analytics team has already built ML‑powered lead scoring that 2x́d our LTV:

CAC ratio, automated account research that doubled rep output, and intelligent routing systems that optimize pipeline for hundreds of reps. And we're just getting started.

Sales and Marketing are at an inflection point. We're expanding into new product verticals and AI‑led offerings, scaling new acquisition channels, and standing up entirely new GTM motions. This role will be at the center of designing, measuring, and optimizing them.

As a Lead, GTM Analytics & Applied AI, you'll be a senior contributor who drives analytics and strategy end‑to‑end for either our Sales or Marketing org. You'll work directly with the CRO or CMO and their leadership team to identify the highest‑impact opportunities, then build the analyses, tools, and AI‑powered systems that turn them into results.

This role is 100% remote and can be based anywhere in the US or Canada.

You should definitely apply if you…
  • Have felt torn about whether to pursue a business vs. technical/analytical career path (at Owner we believe these must merge)
  • Get more energy from building and shipping than from analyzing and presenting
  • Are excited about applied AI: building AI‑powered products, and using AI to change how analytics and building gets done
  • Get energized by new frontiers — defining the next version of our GTM strategy, not just optimizing existing playbooks
  • When solving problems, dive deep to understand root causes and become a subject matter expert. You don't stop at surface‑level insights
  • Aren't afraid to pick up new tools and skills, from Claude Code to custom machine learning pipelines, whatever the problem requires
  • Want to build lasting systems and products, not one‑off analyses
  • Thrive in ambiguity and don't need a playbook to figure out what to work on next
The impact you will have
  • Own GTM analytics for your function: Build the visibility into performance metrics across the funnel that Sales or Marketing run on. Power the weekly, monthly, and quarterly reviews with the analyses and metrics that matter
  • Strategize across the funnel: Work directly with the CRO or CMO to support spend allocation decisions, shape our GTM motion, and bring rigor and a point of view to the biggest strategic questions
  • Direct the pod: Set the priorities and direction for the analytics and applied AI work supporting your function. Guide the work happening in your pod, partnering with Associates to shape analyses and recommendations
  • Build AI‑powered tools that drive incremental value: Ship things like automated outbound campaigns, intelligent engagement cadences, and other AI‑powered workflows to engage customers more efficiently and effectively
  • Experiment with new channels: Stand up new channels and motions, then build playbooks for repeatable experimentation so wins compound over time
  • Accelerate impact with AI: Establish how your function and the broader Biz Ops team uses AI to multiply output across analytics and operating workflows
Who you'll work with
  • Reporting Structure: This role reports to Meera Singh, Director of GTM Analytics and Applied AI
  • Cross‑functional Partners: You'll partner most closely with leadership in your function — either Sales (CRO, Sales leadership, Rev Ops) or Marketing (CMO, Growth, Lifecycle, Brand) — and collaborate across the broader GTM org on shared initiatives.
  • Technical

    Collaboration:

    You will collaborate with Analytics Engineers on all technical aspects, including data modeling, data quality, and the use of tools like DBT and Snowflake.
  • Executive Visibility: This work directly drives GTM strategy, which means regular exposure to senior and executive leadership, including the CRO and CMO.
What we're looking for
  • 5-7+ years in analytics, strategy, or ops — whether that's management consulting, startup ops & analytics, or a hybrid path that's hard…
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