The Challenge
Giga just raised $61M Series A and is scaling AI agents for enterprise automation (think DoorDash handling millions of customer interactions daily). You'll architect the GTM tech stack that turns their go-to-market strategy into revenue—using the same voice AI and automation they sell to customers.
Your Mission
Audit current GTM tech stack (Salesforce, Gong, Clay, etc.) and design integration roadmap with unified CRM as source of truth
Identify and automate 3-5 high-impact repetitive workflows (account research, CRM hygiene, post-call follow-ups) using APIs and AI agents
Build foundational data enrichment logic and sync architecture to ensure accuracy and deduplication across all systems
Partner with Sales/RevOps leadership to map GTM strategy into 2-3 initial automated playbooks and scoring models
Deploy end-to-end outbound engine: intent detection → AI-personalized touchpoints → human review → booked meetings with measurable conversion lift
Implement dynamic lead scoring model that tracks pipeline velocity and win probability; report weekly on model accuracy vs. actuals
Reduce manual CRM/data hygiene work by 60%+ through intelligent automation; establish data quality SLAs
Build systematic signal detection (buyer intent, account fit, urgency) that feeds into real-time outbound campaigns; track attribution to pipeline
KPIs You'll Own
Pipeline Generated via Automated Systems
Qualified meetings booked per month driven by GTM tech stack automation vs. manual processes.
Data Integrity Score
Percentage of CRM records passing validation checks (completeness, deduplication, freshness).
Automation Coverage
Percentage of GTM workflows automated (account research, follow-ups, scoring, outreach) vs. manual.
Cycle Time Reduction
Days saved per prospect from initial signal detection to qualified meeting due to system efficiency.
Tools & Stack
Your Team
Your Manager
VP of Revenue Operations or Chief Revenue Officer (not specified)
Current Team
Sales, Sales Development, Solutions Engineering, Marketing, RevOps leadership (cross-functional collaboration)
New role; building out GTM engineering function from scratch
The Package
Salary
$160K-$200K base
Equity
Likely stock options (Series A stage, not specified)
Remote
On-site, San Francisco
Benefits & Perks
Company Intelligence
Giga is a voice AI startup that raised $61M Series A and builds real-time AI agents for enterprise customer experience and automation. Customers like DoorDash rely on Giga to automate support and operations across voice, chat, and email at massive scale. The company is architecting the go-to-market and customer experience platform for the next generation of AI-powered enterprise automation.
Funding
$61M Series A
Customers
DoorDash, other Fortune 500 B2C enterprises
Culture
Engineering-first, founder-led, high autonomy, mission-driven around AI agents and enterprise automation
Is This Role For You?
- You have 3–5+ years in Growth Engineering, GTM, or Revenue Operations roles (or technical background pivoting into GTM)
- You're comfortable writing APIs, webhooks, SQL queries, and integrating SaaS tools; code fluency required but not necessarily full-stack engineering
- You think operationally: you diagnose bottlenecks in sales processes and design systems to fix them, not just patch them
- You're excited by AI/automation and want to dogfood your own company's technology in your GTM motion
- You thrive with high autonomy and ambiguity; you set your own roadmap based on revenue impact, not detailed specs
- You need heavy hand-holding or prefer well-defined processes; this is greenfield GTM engineering with you setting direction
- You're not technical enough to own API integrations, data pipelines, and SQL; this isn't a non-technical GTM coordinator role
- You're remote-first; this is on-site San Francisco, full stop
- You want a stable, legacy system; Giga is scaling fast and you'll be refactoring GTM tech as the company evolves
Interview Process
Initial Conversation
Chat with hiring manager or VP of RevOps about GTM tech stack experience, past automation wins, and technical depth.
Technical Assessment
Design exercise or case study: audit a messy GTM stack (Salesforce + Gong + Clay + spreadsheets) and propose integration + automation roadmap.
Cross-functional Panel
Interviews with Sales leadership, Solutions Engineering, and Marketing to assess collaboration and GTM thinking.
Founder/Leadership Conversation
Final round with founder or Chief Revenue Officer to align on vision for GTM tech and your role in scaling revenue engine.
Interested in this role?
Apply now and hear back within days, not weeks.
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