Go-To-Market Engineer II, Mid-Market

TL;DR

Go-To-Market Engineer II (Mid-Market): Own post-sale customer outcomes including GRR, NRR, adoption, and credit consumption across high-value accounts with an accent on multithreading relationships and AI-driven workflows. Focus on configuring signal-based campaigns, identifying expansion opportunities from usage data, and advising executives on GTM strategy.

Location: Remote, United States

Salary: $150,000 - $175,000 USD (OTE)

Company

AI-native SaaS platform providing verified B2B contact data and tools for sales and marketing outreach, trusted by 500,000+ companies.

What you will do

• Own customer outcomes post-sale: achieve >95% GRR, NRR, product adoption, and credit consumption growth.
• Multithread relationships with 3+ stakeholders per account across RevOps, sales leadership, marketing, and C-suite.
• Configure Apollo for AI-driven workflows including ICP definition, signal-based sequencing, and campaign design.
• Analyze usage data and behavioral signals to drive upsell, seat expansion, and credit opportunities.
• Advise executives on GTM strategy, presenting ROI and influencing tech stack decisions.
• Protect book of business by mitigating churn risks through broad stakeholder alignment.

Requirements

• 6+ years in Solution Engineering, GTM consulting, Customer Success, RevOps, Growth, or Sales Development with track record in complex accounts.
• Proven multi-threading skills to expand relationships beyond single champions.
• AI-native experience designing agentic GTM campaigns and workflows.
• Analytical fluency in signals, segments, ICP, TAM, SAM, and attribution.
• Executive presence for C-suite presentations and strategic conversations.
• Customer-obsessed with focus on building lasting relationships.

Culture & Benefits

• Equity, company bonus or sales commissions.
• 401(k) plan, flex PTO, parental leave, at least 10 paid holidays.
• Employee assistance, wellbeing benefits, global travel coverage.
• Life/AD&D/STD/LTD insurance, FSA/HSA, medical/dental/vision.
• AI-native culture of continuous improvement, ownership, urgency, and learning.
• Collaboration across departments, support for bold ideas and growth.