Lead Product Manager (SaaS & AI Agent)

Cwill; California (MO); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

401(k)

PTO

Paid Holidays

Insurance

Job summary

CWILL is seeking its first US-based platform PM to turn what the engineering platform delivers into a practical, revenue-driving product for US merchants. You will co-own cross-product journeys, define AI Agent use cases, and shape GTM with the CEO.

You will partner with the Platform Engineering team to translate data, AI, and infrastructure into an integrated merchant platform, and you’ll work across time zones to align teams and outcomes.

Qualifications

• 5–8 years of product experience, with 2+ years building AI/LLM products.
• Background in B2B SaaS, multi-product platforms.
• Proven ability to do real customer discovery with merchants.
• Fluent in AI application product design: task definition, tool calling, human-in-the-loop.
• Comfortable coordinating across time zones with a distributed team.
• Experienced with AI tooling and workflow design in product contexts.

Responsibilities

• Go deep with US mid-market Shopify merchants to validate use cases and needs.
• Validate use cases with lighthouse customers before building.
• Design end-to-end journeys across CWILL products and platforms.
• Own the unified platform experience: information architecture and navigation.
• Define AI Agent tasks, tool-calling scope, and escalation logic.
• Translate merchant problems into crisp platform requirements for engineering.

Skills

AI product design

B2B SaaS

Customer discovery

Cross-product design

AI tools knowledge

Tools

GPT/Claude/Gemini

Job description

About the Role

This is CWILL's first US-based platform PM, and it's a P0 hire that reports directly to the CEO.

Your job is not to build the data infrastructure — our platform engineering team handles that. Your job is to turn what they've built into something US merchants actually want to use and pay for. You'll define the cross-product customer journeys, design the AI Agent use cases, co-own the GTM strategy, and spend real time with merchants figuring out which platform capabilities are worth building next.

The one-line mission: partner with CWILL's Platform Engineering team to turn our shared data, AI, and infrastructure capabilities into an integrated customer platform for global ecommerce brands.

What You'll Do

Customer Discovery

• Go deep with US mid-market Shopify merchants — understand why they run multiple tools in parallel, which workflows are still manual, and where they'd actually trust an AI Agent to act autonomously
• Spend time with Sales and CS, not just in internal meetings; validate use cases with real lighthouse customers before building

Cross-Product Platform Design

• Design end-to-end customer journeys that span multiple CWILL products — for example: shipment delay → support escalation → compensation → review recovery, or VIP churn risk → marketing suppression → human outreach
• Own the unified platform experience: information architecture, navigation, cross-product workflow design
• Define what the AI Agent should do, what it should surface for human review, and how merchants understand what happened and why

AI Agent Product

• Define Agent tasks, tool-calling scope, user permission and approval flows, error handling, and human escalation logic
• Design the merchant-facing onboarding experience for AI features; set the bar for what "the Agent completed the task successfully" actually means
• Communicate clearly to the engineering team: we're not building another chat interface — we're building an Agent that completes a measurable merchant task

GTM & Commercialization

• Own platform packaging and pricing decisions: what's included in base plans, what belongs in higher tiers, and how to sell a suite instead of individual apps
• Define the Lighthouse Customer program and expansion ARR playbook
• Partner with Sales and CS to drive cross-product attach rate

Engineering Partnership

• Translate fuzzy merchant problems into crisp platform capability requirements the engineering team can build against
• Co-own prioritization decisions — not by escalating, but by building shared judgment on what's a real customer problem vs. a nice-to-have
• Reduce information loss across time zones through clear written specs and documented decisions

What We’re Looking For

• 5–8 years of product experience, with 2+ years building AI or LLM-powered products from 0 to 1
• Background in B2B SaaS — ideally multi-product customer platforms (Customer 360, workflow automation, unified inbox, CRM, cross-product journeys, or AI copilot/assistant features)
• Proven ability to do real customer discovery: talking to merchants, running pilots, and turning ambiguous feedback into a clear roadmap
• Fluent in AI application product design — agent task definition, tool calling, human-in-the-loop flows, trust and explainability — without needing to build the underlying model infrastructure
• Comfortable working across time zones with a distributed engineering team; able to reduce coordination overhead through strong written communication
• Heavy user of AI tools (GPT, Claude, Gemini, etc.) — not as a technical requirement, but as a working style

Nice to Have

• Experience in the Shopify / DTC ecommerce ecosystem (Klaviyo, Yotpo, Aftership, Loop, Narvar, or similar)
• Seller perspective — has run an online store or worked directly with ecommerce merchants
• MarTech or post-purchase SaaS background (marketing, support, reviews, retention)
• End-to-end B2B AI Agent product launch experience

Who You Are

• Startup mindset — you're comfortable making decisions with incomplete information and iterating fast
• You think in customer outcomes, not feature lists
• You'd rather spend a day with a merchant than a week writing specs no one's validated
• Big company or startup background doesn't matter — ability and judgment do

Starting Pay: 150K-200K depends on experiences, open to negotiation

• 401(k)
• PTO
• Paid Holidays
• Insurance