Associate Product Manager – Application Platform & AI

Associate Product Manager – Application Platform & AI

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.

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

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