Product Experience Lead

Job Description

Your mandate is simple: replace manual ops with AI-driven systems. You'll sit at the intersection of product, engineering, and account management, identifying high-effort workflows across onboarding, equity management, and compliance and rebuilding them using automation, structured data, and AI-native workflows. This is a zero-to-one, high-ownership role where you'll design systems that scale operations without scaling headcount. From AI-assisted onboarding to automating complex equity workflows, you'll help move EquityList from ops-heavy to AI-first. If you enjoy breaking down messy processes, building from scratch, and experimenting with AI at the core of a product, you'll thrive here. The candidate will have responsibilities across the following functions: Build AI-Native Product Operations: - Design and deploy AI-first workflows across onboarding, cap table management, governance, and equity grants, reducing manual ops and increasing speed, accuracy, and scale. - Identify repeatable workflows and convert them into automated, model-assisted systems (LLMs, agents, and internal tools). Automate Verticalised Services: - Own the automation of high-touch services across the equity lifecycle (onboarding, grants, compliance, and reporting). - Break down complex, domain-heavy workflows into structured, programmable systems that can be scaled via AI. Reimagine Onboarding with AI: - Transform customer onboarding into a semi-automated, AI-assisted experience from data ingestion and validation to platform setup. - Build systems that minimise manual intervention while improving accuracy and turnaround time. Own Data + AI Infrastructure for Ops: - Ensure high-quality, structured data pipelines that power both product experiences and AI workflows. - Work closely with engineering to enable AI-readiness across internal systems (clean schemas, APIs, and data flows). Experiment with AI-First Approaches: - Continuously test new AI tools, agents, and workflows to improve internal efficiency and customer experience. - Run rapid experiments on AI replacing ops vs AI augmenting ops across different workflows. Be the Bridge Between Product, Engineering and AI Systems: - Translate operational problems into product and AI opportunities. - Collaborate with Product and Engineering to productionise internal tools and AI workflows. Drive Insights with AI-Augmented Analytics: - Leverage AI to analyse product usage, customer behaviour, and operational bottlenecks. - Surface insights that directly influence product prioritisation and automation opportunities. Continuously Eliminate Manual Work: - Ruthlessly identify repetitive tasks and replace them with automation or AI systems. - Move the team from ops-heavy, systems-heavy to AI-driven. The core requirements for the job include the following: AI-First, Systems Thinker: - You instinctively look at manual workflows and think, This should be automated. - Curious and hands-on with AI tools (LLMs, agents, no-code/low-code automation) and excited to apply them to real workflows. Strong Product + Ops Intuition: - 4-6 years of experience in product operations, product, analytics, or similar roles in a SaaS or B2B environment. - Comfortable breaking down ambiguous problems and turning them into structured, scalable systems. Data Fluent: - Strong with data (Excel / SQL); able to work with structured datasets and derive insights. - Understand how clean data enables both product decisions and AI systems. Builder Mindset: - You enjoy building from scratch workflows, tools, and systems, not just managing them. - Bias for action; you ship fast, iterate quickly, and improve continuously. High Ownership and Cross-Functional Ability: - Comfortable working across product, engineering, and customer success. - Strong communication skills can translate messy operational problems into clear solutions. Bonus: - Experience with automation tools (Zapier, Retool, internal tooling, etc. ) - Exposure to AI workflows, prompt design, or integrating APIs. - Understanding of equity, cap tables, or financial/compliance systems. Company Summary EquityList is a product to help Indian startups manage cap tables and administer ESOP grants. It is designed to be an all-in-one tool that serves the needs of founders, investors, employees, and internal finance teams. EquityList offers capable management solutions for startups. It provides administration and setup of employee stock option plans, paperless document management, building ownership, and report accessibility for investors and employees. EquityList simplifies equity management for Indian startups by building a definitive operating system for them. Founders can now manage and model their fundraising, cap tables, employee stock option pools, investor tools, and data rooms through a single platform.

Required Skills

[Product Management, SQL, Jira]

Additional Information

NA