Overview
You're running product at 1mind, which builds AI avatars that can join Zoom calls, deliver sales demos, and answer buyer questions in real-time. The tech is complex (LLMs, voice synthesis, photo-realistic video) and the use case is new. You'll decide what to build, prioritize the roadmap, and work closely with ML engineers and early design partners.
Role Snapshot
| Aspect | Details |
|---|---|
| Role Type | Head of Product (likely first product leader) |
| Sales Motion | N/A (product leadership) |
| Deal Complexity | N/A (product leadership) |
| Sales Cycle | N/A (product leadership) |
| Deal Size | N/A (product leadership) |
| Quota (est.) | N/A (product leadership) |
Company Context
Stage: Series A ($40M raised, Battery Ventures led)
Size: 95 employees
Growth: Just emerged from stealth, hiring leadership team aggressively
Market Position: Category creatorâbuilding something genuinely novel (photo-realistic avatars on video calls) in a market full of text-based AI sales bots
GTM Reality
Product Maturity:
- Early stageâonly 4 G2 reviews, likely <50 customers
- They're hiring enterprise AEs now, so go-to-market is being built in parallel
- Product is ambitious: not just chat/email automation, but AI that shows up on Zoom with a face and voice
- Lots of technical challenges (latency, voice quality, handling complex questions, integration with CRMs)
Your Focus:
- Define what version 2.0+ looks like (version 1.0 just shipped)
- Work with design partners to understand what sales teams actually need
- Prioritize roadmap across AI quality, feature breadth, integrations, scalability
- Balance "what's technically possible" with "what will sales teams pay for"
Competitive Landscape
Main Competitors: Conversica (AI SDR, email/SMS), Qualified (conversational marketing), Exceed.ai (email automation), plus dozens of companies building AI sales agents
How They Differentiate: Photo-realistic video avatars that join live calls vs text-only bots
Common Objections: "Will buyers accept this?" "Is the AI good enough to not embarrass us?" "What happens when it doesn't know the answer?"
Win Themes: Scale demo capacity, 24/7 availability, consistency, freeing up human reps for higher-value work
What You'll Actually Do
Time Breakdown
Strategy/Roadmap (30%) | Customer/Sales Feedback (25%) | Eng/ML Collaboration (25%) | Internal Alignment (20%)
Key Activities
- Roadmap Definition: Decide what to build next. Lots of possibilities (better voice, more integrations, multi-persona support, analytics dashboard). Limited eng resources.
- Customer Research: Talk to design partners and early customers. What's working? Where does the AI fail? What features would close more deals?
- ML Collaboration: Work with ML engineers on improving the AI. How do you make it sound more natural? Handle objections better? Reduce latency?
- Sales Enablement: Help sales team position the product. What's the demo story? What objections come up? How do you prove ROI?
- Stakeholder Management: CEO (ex-6sense founder) has strong opinions. Board wants to see traction. Sales wants features. Engineering has constraints.
The Honest Reality
What's Hard
- The tech is bleeding edgeâlots of unknowns (how good can AI avatars actually get?)
- You're building something new, so there's no playbook. Unclear what customers will actually pay for.
- Sales cycles are long (enterprise deals), so feedback loops are slow
- Balancing "cool tech demo" with "enterprise-grade reliability" (AI fails in unpredictable ways)
- Founder is experienced and opinionatedâyou'll need to earn credibility and push back when needed
- Probably small product team, so you'll be hands-on in designs, specs, user testing
What Success Looks Like
- Customer Adoption: X% of customers using AI avatars in production (not just pilots)
- Product-Market Fit Signals: Renewals, expansion, unsolicited referrals
- Roadmap Clarity: Clear 6-12 month plan that sales/eng/CEO all agree on
- AI Quality: Measurable improvement in conversation quality, response accuracy, buyer acceptance
Who You're Building For
Primary Users:
- Sales reps and managers at mid-market/enterprise companies
- Sales enablement and ops teams (they'll configure the AI)
What They Care About:
- Does the AI embarrass them or make them look innovative?
- Can it actually handle complex buyer questions or does it fail awkwardly?
- Integration with their CRM/sales tools (Salesforce, Outreach, Salesloft)
- ROI: does this replace headcount or just add cost?
Requirements
- 8+ years in product management, at least 3-5 leading product at a startup
- Experience with AI/ML products (LLMs, voice tech, or similar bleeding-edge tech)
- Worked in B2B SaaS, ideally sales tech or enterprise software
- Comfortable with ambiguityâthis is uncharted territory
- Strong technical depth (can talk to ML engineers and push back on "that's impossible")
- Customer-obsessed: you spend time with users, not just looking at dashboards