What will you do
1. Dealer Platform Ownership (App, Web, API)
- Build smart, self-learning interfaces (mobile/web) that adapt to dealer behavior and drive outcomes
- Lead development of APIs and services that enable automation and intelligent interactions across systems
- Embed Agentic AI capabilities like proactive recommendations, real-time nudges, and conversational flows into the dealer experience
- Design systems that allow agents to act on behalf of usersautomating photo audits, inventory publishing, pricing optimizations, etc.
2. Build Core Business Platforms (Users, Billing, Revenue, Resellers)
- Architect modular and AI-augmented user, billing, and reseller systems
- Enable autonomous agent actions like: detecting billing anomalies, initiating upsell nudges, resolving credit issues, or suspending non-compliant accounts
- Power a reseller network with tools that drive self-service, policy enforcement, and scalable partner success via AI assistants
3. Drive Internal Automation with Agentic AI
- Build internal tools that function as co-pilots for Sales, CS, Marketing, Finance, and HR
- Enable AI agents to generate reports, schedule follow-ups, escalate risk, and suggest campaign ideas without human intervention
- Automate onboarding, revenue leakage tracking, payout reconciliations, and internal approvals through intelligent workflows
4. Platform Security, Performance & Scalability
- Define the framework for secure, scalable, and high-performing systems that support AI agents acting independently
- Collaborate with engineering to ensure observability, self-healing behaviors, and fail-safe mechanisms are in place for autonomous actions
- Ensure compliance, access controls, and audit trails are AI-aware and proactive in risk mitigation
5. Leadership and Execution
- Set product vision and roadmap aligned with Spyne's AI-first platform strategy
- Manage, mentor, and grow a world-class product team that thrives on innovation and speed
- Collaborate deeply with Engineering, Design, Data, and GTM leaders to execute rapidly with user-first thinking
What you must have
- 8+ years of product management experience, with at least 5 years leading product teams
- Proven track record of successfully launching AI/ML products at scale
- Experience with Computer Vision and/or LLM technologies and their practical applications
- Strong technical background with ability to collaborate effectively with ML/AI engineering teams
- Outstanding leadership and communication skills
- Exceptional communication skills to explain technical AI concepts to non-technical stakeholders.
- Analytical mindset with the ability to define and measure success metrics.
- Hands-on experience with product development tools (e.g., Figma, Jira) and basic familiarity with LLM APIs (e.g., OpenAI, Anthropic, Hugging Face).
- Ability to thrive in a fast-paced, ambiguous environment.
