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Sales Engineer, GTM AI

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: HockeyStack, Inc.
Full Time position
Listed on 2026-01-07
Job specializations:
  • IT/Tech
    SaaS Sales, Sales Engineer
  • Sales
    SaaS Sales, Sales Engineer
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below

🚀 Your Mission

You’ll be the technical and consultative bridge between Hockey Stack’s AI‑powered GTM platform and complex customer business problems. You’ll lead demo engineering
, build sandbox POCs
, leverage MEDDICC
, and tailor technical storytelling around marketing and sales pain points faced by personas like CMOs, Demand Gen Directors, Rev Ops, and Sales Leaders.

This role combines technical depth
, business storytelling
, MEDDICC rigor
, and hands‑on demo/POC building in a fast‑growing, AI‑led GTM environment. It’s ideal for a Sales Engineer who lives and breathes GTM workflows, attribution, sandbox environments, and solving real marketing + sales challenges.

🔧 What You’ll Do

Technical Enablement & Demo Engineering

  • Design, build, and deliver polished interactive demos and live sandbox environments tailored to customer business use cases.

  • Translate features like Odin AI analyst
    , Nova account intelligence
    , multi‑touch attribution, lift modeling, account scoring, and GTM workflows into real‑world demonstration scenarios.

  • Lead interactive walkthroughs that resonate with marketing and sales contexts: e.g. “prove which channels actually drive pipeline” or “identify high‑intent accounts to prioritize outbound”.

Sandbox POCs

  • Spin up isolated sandbox environments or trial work spaces to prototype custom scenarios.

  • Validate how Hockey Stack integrates with CRM/Mar Tech stacks (e.g. Salesforce, Hub Spot, Outreach, Linked In, Website, Data Warehouse) and transforms data into dashboards, lift reports, and account insights.

  • Collaborate with prospects to build real POCs - import data, set up workflows, and surface actionable insights in live sessions.

MEDDICC‑Oriented Qualification & Deal Progression

  • Apply the MEDDICC framework consistently:

    • Metrics: quantify expected marketing ROI and pipeline lift.

    • Economic buyer
      : ensure demo messaging aligns with CFO, CMO, CRO objectives.

    • Decision criteria & process
      : uncover evaluation criteria early and tailor engineer‑led sessions accordingly.

    • Identify pain & Champion
      : connect technical storytelling to business pain like dark‑funnel attribution, inefficient budget allocation, or slow account prioritization.

    • Competition
      : address potential objections and differentiate from legacy analytics tools. (Adobe Bizible, Full Circle, etc)

Persona‑Led Business Problem Framing

  • Engage key personas:

    • Marketing Leads / Demand Gen
      : need visibility into pipeline attribution and ROI of channels, MMM models, lift measurement.

    • Sales Leaders / Rev Ops
      : require account scoring signals (Nova), stakeholder maps, and workflows for outbound sequences.

  • Craft use‑case narratives: e.g. “show us which content is creating revenue”, or “help us identify CMO‑level buying motion”, then execute demos to reflect those.

Internal Enablement & Feedback Loop

  • Train SDRs and AEs on technical messaging, solution positioning, and MEDDICC qualification best practices.

  • Provide feedback to Marketing, Product and Engineering on customer POC success stories and feature requests, ensuring demos remain cutting‑edge.

🧬 What We’re Looking For
  • Ownership‑first mindset — you take initiative, move fast, and figure things out

  • Thrive in early‑stage, high‑urgency environments where speed and impact matter

  • Fully committed to working in‑person 5 days/week at our SF HQ

  • Curious, self‑aware, and feedback‑driven — you bring energy, not ego

  • See this role as a defining chapter — not a stepping stone or side quest

  • 5+ years in sales engineering
    , sandbox POCs, or technical pre‑sales roles (ideally SaaS Mar Tech / CRM / Sales Ops / Rev Ops platforms).

  • Deep familiarity with multi‑touch attribution
    , lift reporting, marketing mix modeling, account scoring, and buyer journey analytics.

  • Strong skills in creating live demos and sandbox experiences tied to real business drivers
    .

  • Expertise in MEDDICC and consultative qualification frameworks.

  • Excellent ability to speak “business‑first”: translate features into impact for CMOs, Rev Ops, SDR leaders.

  • Product‑centric mindset with capacity to script, prototype, and troubleshoot demos on the fly.

  • Preferably experience selling to or supporting revenue teams at $10M‑$100M ARR B2B SaaS companies.

✨ Why Join Now?

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