Product Experience Lead

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.

Skills

AI, Excel, LLM, SQL, agent, analytics, automation, large language model, product, product operations