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 users—automating 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.

Associate Director, Product