Associate Product Manager – Application Platform & AI

About the Role

We are looking for a seasoned Product Manager to own product-led growth (PLG) and platform-level features across our application, while also leading AI initiatives for our flagship AI layer — the agentic, natural-language execution layer that spans our product suite. This is a dual mandate: you'll drive adoption and expansion through platform-wide PLG mechanics, and you'll set the product direction for how AI and natural language interaction reshape the way users work across the application. This role demands strong product instincts for growth loops, a deep understanding of applied AI/LLM product design, and the ability to build and defend a roadmap backed by clear business cases.

Key Responsibilities

Application Platform & PLG Ownership

• Own the product roadmap for platform-level features — onboarding flows, in-app activation and adoption mechanics, cross-module dashboards, and shared platform tooling
• Design and drive PLG loops (self-serve onboarding, in-product upsell/expansion signals, usage-driven activation) that increase adoption and reduce time-to-value across the application
• Write PRDs, user stories, and acceptance criteria grounded in real usage patterns and funnel data — not assumptions
• Maintain a living, prioritized backlog that reflects both stakeholder input and measurable business/growth value

AI Initiative Leadership

• Own the product vision and roadmap for the flagship AI/agent layer, driving the shift from traditional UI-driven workflows to natural-language and conversational interaction across modules
• Define and prioritize new AI agent capabilities (e.g., conversational search, chat-based workflows, natural language reporting, and task-specific agents) in partnership with engineering and applied AI teams
• Establish a repeatable framework for identifying, scoping, and shipping new agent use cases — from discovery through prompt/response design, grounding sources, evaluation, and rollout
• Define and track AI-specific success metrics: agent adoption, task completion/resolution rate, deflection from traditional UI flows, accuracy/groundedness, and user trust
• Partner with Marketing, OPS/Training, and Leadership to drive internal and external communication, training, and change management around AI adoption

Stakeholder Engagement & Requirements

• Serve as the primary product partner across functions — Product & Engineering, Marketing, OPS/Training, Customer Success, and Leadership
• Facilitate requirement-gathering sessions, workflow audits, and AI use-case discovery to build a ground-level understanding of user needs across modules
• Translate platform and AI requirements into specifications that engineering and design can act on
• Manage stakeholder expectations through clear communication on timelines, trade-offs, and scope decisions

Business Case & Roadmap Development

• Build and present business cases for platform and AI initiatives — quantifying adoption impact, productivity gains, cost-to-serve reduction, and ROI
• Develop a rolling 2–3 quarter roadmap, sequenced by growth impact, AI feasibility, and cross-module dependency
• Align roadmap priorities with leadership and key stakeholders through structured reviews
• Proactively identify where AI and platform-level improvements can reduce manual effort, friction, or support load

Data & Execution

• Define KPIs and success metrics for every initiative — activation rate, adoption rate, agent usage/resolution rate, process cycle time, and time saved
• Use data (funnel, usage, and AI interaction data) to validate hypotheses, measure outcomes post-launch, and inform iteration
• Drive sprint planning, backlog grooming, and cross-functional alignment with engineering, design, and applied AI teams

Requirements

Must Have

• 3–5 years of Product Management experience, with meaningful focus on platform-level product ownership, PLG, or B2B SaaS growth
• Direct experience shipping AI/LLM-powered features — conversational interfaces, AI agents, copilots, or natural-language driven product experiences
• Demonstrated ability to design and iterate on PLG loops (onboarding, activation, expansion) using funnel and usage data
• Experience building business cases and defending roadmap priorities with data and business rationale
• Strong command of product discovery, information architecture, and workflow design across multiple product modules
• Proficiency in Jira, Confluence, Figma, and web/product analytics tools
• Solid Agile/Scrum experience as a Product Owner in cross-functional teams
• Comfortable working with funnel data, AI interaction metrics, and operational KPIs

Good to Have

• Background in multi-tenant SaaS platforms or enterprise tooling environments
• Hands-on exposure to LLM application design — prompt design, RAG/grounding, agent orchestration, or evaluation frameworks
• Familiarity with growth/analytics tools such as Amplitude, Custify, or similar
• Exposure to change management or platform-wide adoption strategies

What Success Looks Like (12 Months)

• A clear, business-case-backed roadmap spanning platform PLG and AI initiatives — bought in by leadership and actively shipped against
• Measurable improvement in platform-wide activation/adoption metrics driven by PLG initiatives
• At least two new AI agent capabilities or natural-language features shipped, with measurable adoption and task-resolution impact
• Deep working relationships established with Product & Engineering, Marketing, OPS/Training, and Leadership
• A consistent cadence of stakeholder reviews, roadmap updates, and post-launch retrospectives in place