Overview
You're the first Director of RevOps at Slang AI, a voice AI assistant that answers phones for restaurants 24/7. You'll build the revenue operations function from the ground up - implementing systems, fixing data chaos, creating dashboards, optimizing the sales funnel, and establishing processes that don't exist yet. You'll also hire and manage a GTM Engineer to help with the technical heavy lifting.
Role Snapshot
| Aspect | Details |
|---|---|
| Role Type | First RevOps hire - individual contributor transitioning to manager |
| Sales Motion | Supporting outbound-heavy motion to restaurants |
| Deal Complexity | Transactional to consultative (restaurant tech) |
| Sales Cycle | Likely 2-6 weeks (restaurant decision-making) |
| Deal Size | Estimated $3-15K ACV (typical restaurant SaaS) |
| Quota (est.) | N/A - measured on pipeline health, forecast accuracy, system uptime |
Company Context
Stage: Early-stage (funding unknown, but 65 employees suggests Seed to Series A)
Size: 65 employees
Growth: Actively hiring for critical GTM roles (RevOps, GTM Engineer)
Market Position: Niche player in restaurant tech - competing in a crowded voice AI / restaurant software space
GTM Reality
Pipeline Sources:
- Likely 70-80% Outbound - cold calling restaurant owners/managers, LinkedIn outreach
- 20-30% Inbound - restaurants searching for phone answering solutions, referrals
- Integration partnerships with OpenTable, SevenRooms, Tripleseat, Yelp may drive some leads
SDR/AE Structure: Unknown, but at 65 people likely have 3-8 AEs and possibly 2-4 SDRs
SE Support: Voice AI product likely requires technical demos, unclear if dedicated SEs exist
Competitive Landscape
Main Competitors: Other restaurant voice AI solutions, traditional answering services, restaurants just letting calls go to voicemail or having hosts handle it
How They Differentiate: Purpose-built for restaurants (vs generic voice AI), integrates with reservation systems, handles restaurant-specific use cases
Common Objections: "Our host can handle it", "Too expensive", "AI can't understand our menu", "What if it makes mistakes?"
Win Themes: 24/7 availability, never miss a reservation, free up staff, capture more revenue from calls
What You'll Actually Do
Time Breakdown
Systems Admin (35%) | Data/Reporting (30%) | Process Design (20%) | Meetings (15%)
Key Activities
- CRM Architecture: Clean up Salesforce (or HubSpot) - fix duplicate records, build proper lead routing, create custom objects for restaurant-specific data (covers, table types, integration status). The data is definitely messy right now.
- Reporting & Dashboards: Build dashboards that sales leadership actually uses - pipeline coverage, conversion rates by segment, AE activity metrics, forecasting. You'll spend hours in Excel/Sheets reconciling data that doesn't match between systems.
- Tool Stack Management: Evaluate, implement, and manage the GTM tech stack - CRM, sales engagement platform, data enrichment tools, BI tools. You'll own vendor relationships and contracts.
- Sales Process Design: Document the sales process (it probably only exists in people's heads right now), identify bottlenecks, create playbooks, establish stages and exit criteria that make sense.
- Forecasting & Planning: Run weekly forecast meetings, build models for capacity planning, help leadership understand if they're on track to hit revenue targets.
- Hiring & Managing GTM Engineer: Source, interview, and hire your first direct report. Then manage them - prioritize projects, unblock technical issues, translate sales requests into technical requirements.
The Honest Reality
What's Hard
- Starting from scratch: There's no RevOps infrastructure. You'll inherit messy data, inconsistent processes, and sales reps doing things their own way. The first 6 months will be a lot of cleanup before you can build anything new.
- Restaurant vertical complexity: Restaurants operate differently than typical B2B - they have seasonal patterns, high turnover, tight margins, franchises vs independents, different POS systems. Your data models need to account for this.
- Limited resources: You're one person until you hire a GTM Engineer. You can't fix everything at once. Sales will have a wishlist of reports and tools - you'll have to say no a lot.
- Ambiguous scope: At a 65-person company, RevOps often means "anything GTM-related that doesn't fit elsewhere" - you might end up owning sales comp, territory design, customer success operations, or random projects.
- Change management: Sales reps resist new processes and tools. Getting them to log activities consistently or follow a new workflow takes constant follow-up and manager buy-in.
What Success Looks Like
- Clean, trustworthy data - leadership can pull a report and believe the numbers
- Sales reps spend less time on admin and more time selling because systems actually work
- Accurate forecasting - you call the quarter within 10% by week 8
- Sales leadership makes data-informed decisions instead of relying on gut feel
- You've hired a strong GTM Engineer who can execute technical projects without constant hand-holding
Who You're Selling To
Not applicable - RevOps is an internal role supporting the sales team
Who You're Supporting:
- Sales leadership (VP Sales, CRO) - they need forecasts, pipeline visibility, capacity planning
- Account Executives - they need clean data, tools that work, processes that make sense
- SDRs - they need lead routing, territory assignments, activity tracking
- Customer Success - they likely need help with retention metrics and account health scores
- Finance - they need revenue reporting and commission calculations
Requirements
- 5+ years in revenue operations, sales operations, or similar GTM ops role
- Experience building RevOps from scratch at an early-stage company (Series A/B ideally)
- Deep Salesforce (or HubSpot) expertise - admin certifications are a plus
- SQL skills or strong BI tool experience (Tableau, Looker, Metabase) to build custom reports
- Experience hiring and managing technical talent (you're bringing on a GTM Engineer)
- Comfortable with ambiguity and rapidly changing priorities
- Bonus: Experience in restaurant tech, hospitality SaaS, or AI products
- Bonus: Python or other scripting for data analysis and automation