We are a fast-growing AI platform company building from Sydney and delivering globally. Our proprietary platform, combined with forward-deployed delivery pods, enables mid-market enterprises to become truly AI-native. Not through pilots and proofs of concept, but through production AI that transforms how organisations operate.

We believe the future of enterprise is AI-native: where intelligent systems and people work together to achieve what was never before possible. Backed by partnerships with leading hyperscalers and frontier AI providers, and already delivering at scale for clients across a range of industries, we are scaling rapidly across Australia and internationally. Our ambition is to become the defining AI platform company for the mid-market enterprise segment globally.

The Role

Location: Sydney, Australia

Compensation: Competitive base + variable compensation

Employment Type: Full-time

This is a foundational role, the first dedicated growth product hire at monō, and an chance to define how we acquire, activate, retain, and expand users across our AI orchestration platform. You will own the product-led growth strategy end‑to‑end and be directly accountable for self‑serve revenue growth.

As Growth Product Lead, you will sit at the intersection of Product, Engineering, Data, Marketing and GTM. You'll combine deep product thinking with a rigorous experimentation mindset to unlock compounding growth levers across the entire customer funnel, from first awareness through to expansion and advocacy. The work you do will shape the experience for every user who touches monō and directly influence our next frontier of revenue growth.

What You Will Do

Own the PLG Strategy

- Define and own monō's product-led growth strategy, identifying the highest-impact opportunities across acquisition, activation, engagement, retention, and expansion.
- Set the vision, roadmap, and success metrics for product-led growth at monō, ensuring self-serve adoption becomes a durable and compounding growth engine.
- Inform pricing, packaging, and self-serve strategy in partnership with GTM leadership.

Drive Experimentation and Optimisation

- Build and run a rigorous experimentation program: develop hypotheses, design A/B tests, and iterate rapidly based on data to optimise key growth metrics (activation rate, time‑to‑value, feature adoption, conversion, NRR).
- Define, instrument, and monitor growth KPIs; build dashboards and reporting that give the business clear visibility into growth performance.
- Identify activation milestones that predict long-term retention and engineer the product experience to accelerate time‑to‑value.

Ship Growth-Oriented Product Features

- Partner closely with Engineering and Design to ship growth features at pace, including onboarding flows, in-product nudges, self‑serve capabilities, AI-native onboarding experiences, and viral loops.
- Design and implement the first‑run user experience: intent discovery, personalised activation paths, and outcome‑graded checkpoints.
- Build product-qualified lead (PQL) scoring models that bridge PLG and sales-assisted motions.

Drive Marketing and Customer Funnel Optimisation

- Partner deeply with Marketing to build a high-performance acquisition‑to‑activation pipeline.
- Work across Demand Generation, Content, Lifecycle Marketing, and Paid Channels to ensure top‑of‑funnel efforts translate into qualified,



activated users — not just signups.
- Identify drop‑off points, design interventions, and run experiments to continuously improve stage‑to‑stage conversion.
- Design and optimise lifecycle marketing programs in partnership with Marketing, including drip campaigns, re‑engagement sequences, behavioural triggers, and personalised nudges that guide users toward their activation moment and beyond.
- Build attribution models that connect marketing spend and channel efforts to in-product behaviour and revenue outcomes. Ensure both teams share a unified view of what drives qualified pipeline.
- Lead the strategy for product-led content (in‑app education, contextual tooltips, guided tutorials, and AI-powered onboarding content) that reduces friction and accelerates users through the funnel without requiring human intervention.
- Collaborate with Marketing on viral and referral loop design, identifying moments of delight or value that can be amplified through sharing mechanics, community-driven growth, and word‑of‑mouth programs.
- Define and instrument funnel-stage metrics that create shared accountability between Product and Marketing: cost per activated user, signup‑to‑PQL rate, marketing-influenced expansion revenue, and channel-level time‑to‑value.
- Work closely with Sales and Customer Success to understand enterprise adoption patterns, identify product-driven expansion opportunities, and reduce friction in the customer journey from self‑serve to sales-assisted motions.
- Design expansion triggers (usage limits, collaboration features, tier-gated capabilities) that create natural upgrade moments and align commercial incentives with genuine user value.

Champion a Growth Culture

- Champion a culture of experimentation and data-informed decision-making across the organisation.
- Coach cross-functional teams on PLG best practices, growth loops, and hypothesis-driven development.
- Build the growth infrastructure: tooling, analytics, and frameworks for sustainable experimentation and measurement.

What You Bring

Required

- 8+ years of product management experience, with at least 3 years focused on growth, product-led growth (PLG), or growth engineering at a high-growth B2B SaaS company.
- Proven track record of driving measurable growth outcomes; you have shipped experiments and features that moved key business metrics (activation, retention, expansion, revenue).
- Deep fluency in growth analytics — comfortable with SQL, product analytics tools (Amplitude, Mixpanel, PostHog, or similar), and building data narratives that drive decisions.
- Strong marketing and funnel optimisation acumen: experience partnering with or leading marketing-adjacent growth initiatives, including lifecycle programs, conversion rate optimisation, and attribution modelling.
- Strong product sense: you can identify high-leverage opportunities, scope MVPs, and ship quickly without sacrificing quality.
- Excellent cross-functional collaboration skills: experience partnering across Engineering, Design, Marketing, Sales,



and Customer Success.
- Experience with AI-powered products: understanding of how AI platforms deliver value and how users adopt multi-modal, multi-model tooling.
- Startup or high-growth experience: you thrive in ambiguity, move quick, and are comfortable building from zero.

Preferred

- Experience with enterprise or sales-assisted PLG motions (not purely self-serve consumer growth).
- Hands-on familiarity with LLMs, agentic architectures, or AI orchestration platforms.
- Experience building self-serve onboarding or trial experiences in B2B.
- Background in consumption-based or usage-based pricing model design.
- Experience with AI-native onboarding (conversational first-run experiences, intent-aware routing).
- Familiarity with developer-focused or technical products.
- Experience running growth marketing programs, demand generation experiments, or paid acquisition at scale.

Key Metrics You’ll Own

As Growth Product Lead, you will be accountable for the metrics that define the health and velocity of our product-led growth engine. Your primary focus will be on activation rate (the percentage of signups that reach their meaningful "aha moment" within a defined timeframe) and time-to-value, ensuring new users experience monō's core value as rapidly as possible. You’ll own free-to-paid conversion across all self-serve cohorts, driving improvements through onboarding optimisation, experimentation, and packaging innovation.

Beyond conversion, you will be responsible for net revenue retention and expansion, ensuring existing users deepen their usage, upgrade tiers, and grow their teams on the platform. You'll track and optimise product-qualified lead (PQL) volume, building the behavioural scoring models that bridge self-serve adoption with sales-assisted pipeline. Feature adoption depth, engagement frequency, and natural rate of growth (the share of revenue driven by organic, product-led channels rather than outbound sales) will round out your metric portfolio.

Critically, you will also own funnel-stage conversion metrics that span the boundary between Marketing and Product: signup-to-activation rate, cost per activated user, marketing-influenced expansion revenue, and channel-level performance. These shared metrics will ensure alignment across teams and create a single source of truth for how growth investment translates into real business outcomes.

Why monō

Compensation: We offer a competitive compensation package commensurate with experience, including base salary and performance incentives tied to growth outcomes.

Foundational role: You will define the PLG function from the ground up. High ownership, high visibility, and real business impact from day one.

AI-native platform: Work on a product at the frontier of multi-agent AI orchestration, touching all major foundation models and 100+ enterprise integrations.

Ambitious mission: Help close the gap between AI-native companies and the rest of the enterprise world. The work matters.

World-class team: Collaborate with senior engineers and operators who have deep experience shipping AI products in production.

Data sovereignty: Our inference-only architecture means you'll solve growth challenges with genuine technical differentiation, not just marketing.

Sydney-based with global reach: Build products used by enterprises worldwide, from a base in one of the world's great cities.

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📌 Growth Product Lead (City of Sydney)
🏢 monō ai
📍 City of Sydney