Founding Product Manager — Agentic Application (B2B)

Gro; Hong Kong; Remote; HKD 900,000 - 1,500,000; Full time

Job summary

Gro AI is building next-generation AI Sales Infrastructure. You will own product specs, QA standards, and UI/UX for an autonomous agent platform, reporting to the founder. You will design evaluation sets, triage defects, and ensure releases meet customer and pilot feedback.

A strong track record shipping AI products to real users is required. You will collaborate with executives and engineers to translate high-level intent into implementable, testable requirements and UI specifications, shaping

Qualifications

• 4+ years in product management or equivalent product and QA work; fluent English.

Responsibilities

• Own Gro AI PRD (agent specs, autonomy levels L1–L5, glossary) as single source of truth.
• Bridge CEO and dev team: translate intent into testable requirements.
• Define QA/acceptance standards from test plan to UAT to sign-off.

Skills

Product management

QA

UI/UX design

English fluency

Technical fluency

SQL

Education

Bachelor's degree in CS/Engineering

Tools

Figma

SQL

Playwright

LangSmith

Job description

Seed stage · Remote (Hong Kong / Shenzhen / Guangzhou preferred) · Reports directly to the founder

1. About Gro AI

Founded by the former CDO of Huawei Cloud Asia Pacific, Gro AI is building next-generation AI Sales Infrastructure.

Mission: Build the best way to sell with AI.

Our customers: leading tech startups and listed companies globally

Website: https://thegro.ai/

2. Why this role matters

This is Gro AI's first core product role. Gro is an autonomous agent platform: self-driving sales, governed by you. Agents produce most of our specs, builds and tests: fast, but prone to drift from what users need. As a founding team member reporting to the founder, you are the human judgment in that loop: you define what good looks like, design the UI and UX, run QA and take each release from spec to customer.

You need to show: you have shipped an AI agent or LLM product to real users and owned its quality after launch, including a QA process you designed yourself.

3. What you'll own

1. PRD: own Gro's PRD (agent specs, autonomy levels L1–L5, glossary, skills registry) as the single source of truth.
2. Bridge CEO and dev team: turn the CEO's intent into testable requirements for human and agent developers, and ensure what ships matches it.
3. QA and acceptance standards: define the quality bar and own QA from test plan through UAT to sign-off. Block releases that miss it.
4. Evals: build eval sets and keep the AI judge calibrated to human judgment.
5. Defect management: triage failures, route them to owners, verify fixes and turn recurring issues into platform rules.
6. UI and UX design: own user journeys, wireframes, prototypes and developer-ready UI specs. Make agent status, approvals and error recovery clear.
7. Discovery and usability: test with pilot customers, decide with the CEO what to build next, and verify the shipped UI matches the design.

4. What we're looking for

Agentic product skills

• Evals: you write test cases and graders for non-deterministic outputs (pass/fail, code assertions, LLM-as-judge) and read traces.
• Human-in-the-loop design: what needs approval, what runs alone, how agents escape.
• Technical fluency: prompting, context, tool use and MCP, retrieval, model choice, and cost and latency tradeoffs, deep enough to argue with engineers; plus SQL.
• Unit economics: you estimate cost per outcome and spot money-losing features.

UI and UX design skills

• Hands-on product design: you have designed and shipped web app interfaces, from user flows to high-fidelity UI, and can explain your decisions.
• Tools and handoff: Figma or equivalent for prototypes and developer-ready specs, including components, states and responsive behaviour.
• Agentic UX: you make clear what the agent is doing, what needs approval and how to recover.
• Visual craft: clear hierarchy, layout, typography and accessible patterns.

QA and delivery skills

• QA experience: you have owned test plans, test cases, regression suites, UAT and release sign-off.
• Defect lifecycle: bug triage, severity rules, root-cause analysis and fix verification.
• Standards from judgment: you turn tacit judgment into rubrics and examples that engineers and AI judges apply consistently.
• End-to-end delivery: releases to production with release notes, known limits and rollback plans.
• Product taste: you judge agent output as a user would and explain why it is good or bad.

How you work

• AI-native: you use Claude, Cursor or similar agents daily and review their output critically.
• High agency: you turn vague problems into shippable plans and set scope, priority and cadence.
• Say no with evidence: you align the team on one definition of done and hold the line when a release isn't ready.
• Clear writing and customer empathy: you write precise documents and work directly with early customers on pilots.
• Experience: 4+ years in product management or equivalent product and QA work; fluent English.

5. Nice-to-haves

• Sales tech experience, e.g. Clay, *******, Apollo, Outreach or Gong.
• Test automation or eval tools (Playwright, Cypress, LangSmith, Langfuse, Ragas).
• LinkedIn and email deliverability, platform limits and compliance.
• Outcome- or usage-based pricing; multi-agent products.
• Reading code or prototyping yourself.
• Mandarin Chinese.

6. Why join us

• Work directly with the founder: Leo served hundreds of enterprise customers as CDO of Huawei Cloud Asia Pacific.
• Learn from a multi-agent systems expert: co-founder and Chief Science Officer Dr. Owen Zhao was an Agentic AI researcher at Huawei's Noah's Ark Lab and founding AI engineer at Final Round AI, specializing in multi-agent systems.
• Build with an agent swarm: direct and judge the agents in our autonomous dev factory that spec, build and test.
• Real-world impact: what you ship reaches global customers fast, and you set how Gro defines and ships quality.
• Competitive rewards: competitive salary and early equity.