Lead Product Manager (SaaS & AI Agent)

CWILL

New Jersey

Hybrid

USD 150,000 - 200,000

Full time

11 days ago
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Benefits offered by this job

401(k)
PTO
Paid Holidays
Insurance

Job summary

CWILL is seeking its first US-based platform PM who will report to the CEO. You will drive cross-product platform design and define the AI agent tasks for merchant workflows across CWILL products.

The role emphasizes hands-on customer discovery with US mid-market Shopify merchants and close collaboration with Sales and CS to validate use cases before building. You will own the onboarding experience for AI features, set task completion criteria, and translate merchant problems into measurable

Qualifications

  • 5-8 years of product experience with 2+ years in AI/LLM-powered products.
  • Experience in B2B SaaS multi-product platforms.
  • Proven real customer discovery with merchants and pilots.
  • Expertise in agent task definition, tool calling, human-in-the-loop.
  • Strong written communication across time zones.

Responsibilities

  • Lead customer discovery with US mid-market Shopify merchants; validate use cases with lighthouse customers.
  • Design end-to-end journeys spanning multiple CWILL products and define unified platform experiences.
  • Define AI Agent tasks, tool-calling scope, and escalation flows; ensure measurable task completion.
  • Shape onboarding for AI features and communicate requirements to engineering.
  • Own platform packaging, pricing decisions, and cross-product attach strategies.
  • Collaborate with Sales/CS to drive cross-product adoption; translate problems into architecture specs.
  • Co-own prioritization decisions with a focus on real customer problems over nice-to-haves.

Skills

Product management
AI product design
B2B SaaS
Customer discovery
Cross-functional collaboration
Distributed teams
AI tooling (GPT/Claude/Gemini)

Tools

AI tooling proficiency

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.

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
Requirements
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
Benefits

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

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