Senior Product Manager - Product-Led Growth (PLG + AI-aware)
Title: Senior Product Manager - Product-Led Growth (PLG + AI-aware) |
Location: Remote / Hybrid (US) - flexible |
Reports to: Sr. Director of Product Management
At Quickbase, we’re on a mission to end a universal problem:
Gray Work. The ad‑hoc, manual work we do looking for documents, resources, etc. when technology isn’t working for us—that’s Gray Work, and it negatively impacts productivity, employee well‑being and a company’s bottom line. Quickbase’s platform for Dynamic Work Management (the first ever) empowers nearly 12,000 organizations like Consigli, Suffolk, Valvoline, Daifuku and more to take on Gray Work by bringing people, processes, and data together into one central location, so employees can stop chasing information across systems and focus on work that makes an impact.
Our product is an AI‑powered platform that helps businesses connect scattered data, automate unique processes, and scale what makes them competitive. Instead of forcing you to change how you work to fit a rigid system, Quickbase adapts to your workflows—so you can eliminate manual workarounds, reduce errors, and get real‑time visibility across your operations.
Role (why we are hiring)We are hiring a Senior Product Manager to accelerate our Product‑Led Growth motion and help define an AI‑aware experience within our builder. You will partner closely with Growth/Marketing, Customer Success, UX, and Engineering teams to design and deliver self‑serve experiences that increase acquisition, activation, and expansion, while ensuring any AI capabilities we surface in trial/onboarding experiences are useful, safe, and measurable.
Key Responsibilities- Own and execute a comprehensive PLG strategy across acquisition, activation, retention, and expansion. Define north‑star and funnel metrics (for example, TTFV, activation, PQL, trial to paid conversion, expansion ARR).
- Design, run, and learn from rapid growth experiments (A/B, multi‑variant tests, holdouts) to optimize onboarding, product flows, pricing experiments, and trial/upgrade moments. Instrument hypotheses end‑to‑end and own metrics and analysis.
- Identify pragmatic AI‑enabled product opportunities for the trial and onboarding experience, for example AI‑guided templates, contextual recommendations, and in‑product suggestions that reduce time‑to‑first‑value. Stay current on AI and LLM trends and evaluate how new capabilities could improve trial‑to‑value.
- Partner with Data Science, Labs, and ML teams to prototype and evaluate AI‑driven UX concepts. You will define product requirements, success criteria, rollout plans, and metrics for in‑product AI experiences, but not perform model evaluations or operate model infrastructure.
- Partner deeply with Growth/Marketing and Customer Success to align acquisition tactics, messaging, lifecycle campaigns, in‑product nudges, and in‑app education that convert and retain users.
- Set the roadmap and write clear product requirements; prioritize ruthlessly to maximize time‑to‑value and monetization. Be accountable for the business performance of your product scope, including KPIs and OKRs.
- Work with UX and research to deeply understand user workflows and reduce friction to first value. Synthesize qualitative and quantitative insights into product decisions.
- Ensure AI‑related product rollouts consider privacy, compliance, and user trust by engaging Legal, Security, and Governance stakeholders as needed.
- Clear, repeatable PLG funnel with measurable improvements in activation and trial‑to‑paid conversion.
- AI‑enabled experiences in trial and onboarding that reduce time‑to‑value and increase engagement, delivered in partnership with ML teams.
- A healthy experimentation culture and telemetry that enables fast, data‑driven decisions.
- Smooth, measurable handoff and alignment with GTM teams that leads to predictable revenue expansion.
- 5 to 10 years product management experience in SaaS, with 3 or more years owning product features that delivered measurable business outcomes.
- Hands‑on PLG experience: designing trial and onboarding funnels, defining…
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