Plaud.ai Logo

Plaud.ai

Product Manager, Monetization Strategy - Singapore

Posted 9 Days Ago
Be an Early Applicant
In-Office
Singapore, SGP
Entry level
In-Office
Singapore, SGP
Entry level
Own Plaud’s monetization strategy across pricing, subscription tiers, entitlements, add-ons, and usage-based charging. Build quantitative models to evaluate conversion, renewal, revenue, costs, and margins. Partner with AI product, billing, engineering, design, and business teams to translate commercial rules into product requirements, validate performance through data and experiments, and continuously improve pricing and monetization systems across regions and channels.
The summary above was generated by AI

About Plaud Inc.

Plaud is building the real-world AI interface for professionals to amplify intelligence, elevate productivity and performance, loved by over 2,500,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud captures, structures, and compounds the intelligence generated in conversations — so humans can think better, decide faster, and execute with clarity.

Plaud Inc. is a Delaware-incorporated, San Francisco-based company pushing the boundary of human–AI intelligence through a hardware–software combination. With full ISO 27001, ISO 27701, SOC 2, GDPR, EN18031, and HIPAA compliances, Plaud is committed to the highest standards of data security and privacy protection. To learn more about Plaud, please visit https://www.plaud.ai and follow along on Instagram, X, Facebook, LinkedIn, and YouTube.

 

Why You Should Join Us

Plaud is building the next generation intelligence infrastructure and interfaces to capture, extract, and utilize intelligence from what people say, hear, see, and think.

  • Plaud is a bootstrapped, skyrocketing, profitable company with a $300M revenue run rate achieved in just three years.

  • Define the next-gen paradigm for human-AI interaction.

  • Gain exposure to cutting-edge AI for Pro tools and play a direct role in our global expansion.

  • Work with passionate teammates who value innovation, collaboration, and customer success.

  • Grow your career in a culture that champions continuous learning and fast career development.

  • Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere.

What you will do

  • Design and continuously refine Plaud's pricing and entitlement framework. Own subscription tiers, entitlements, and add-on pricing across regions and sales channels; assess the impact of promotional activities and price adjustments; and keep the overall system coherent and defensible across markets. When a pricing assumption is contradicted by data, you propose the fix — you don't wait to be asked.

  • Develop and iterate usage-based charging strategy. As AI capabilities, service costs, and user behaviour evolve, you adjust the underlying rules to maintain a sustainable balance between user experience, willingness to pay, and gross margin.

  • Build reliable quantitative models that drive product decisions. Size the impact of different scenarios on usage, conversion, renewal, revenue, and cost; surface key assumptions and edge cases; and own the logic and conclusions so the team can make trade-offs on evidence, not instinct.

  • Drive cross-functional delivery of monetisation strategy. Work with AI product, billing, and engineering teams to align on metering definitions, data requirements, and rule configurations — ensuring new features connect cleanly to commercial rules, with outcomes that are trackable and verifiable. You treat a teammate's success as your own, and you align proactively rather than waiting to be pulled in.

  • Validate strategy performance and push for improvement. Use data analysis, user feedback, and experiment results to evaluate what's live, identify what isn't working, and drive adjustments. You ask "is this rule actually behaving as intended?" — and you find out.

 

Skills, qualifications and experience we look for

  • Experience in monetisation strategy or a related product domain, with direct ownership of pricing, billing strategy, auction design, budget allocation, incentive mechanisms, or economic system design and optimisation. We care more about what rules you actually designed, what trade-offs you made, and how you validated the outcome than where you worked.

  • Strong quantitative reasoning: you can map relationships across multiple variables, build and stress-test models, and stand behind your assumptions and conclusions. When a number doesn't add up, you dig in rather than accept it.

  • Ability to design solutions that balance user behaviour and business outcomes — with a clear understanding of how pricing and entitlement changes affect usage, conversion, and retention.

  • Proficiency in independent data analysis and performance evaluation; comfortable with SQL, spreadsheets, or equivalent tools; able to use AI to extend your own output while applying critical judgement to what it produces.

  • Able to translate complex strategy into clear product requirements and collaborate with engineering, design, and business teams to ship.

Nice to have

  • Experience with subscription, usage-based, or AI product monetisation.

  • Experience with multi-region pricing or online/offline multi-channel commercialisation.

  • Strong written and spoken English communication skills.

Relevant backgrounds include advertising strategy, marketplace or trading platforms, ride-hailing and delivery platforms, subscription and cloud services, or game economy systems.

What we offer

  • Meaningful Ownership An Employee Stock Ownership Plan (ESOP) that gives a real stake in Plaud’s long-term success.

  • High-Impact Environment Work in a fast-moving, product-driven environment where your ideas directly shape the future of AI productivity.

  • Cutting-Edge AI Tools for Productivity Access to best-in-class AI tools, including Gemini, Claude Code, and other frontier AI systems to maximize engineering and execution efficiency.

  • Best-in-Class Equipment Choice of top-spec laptops, high-performance workstation setups, and cutting-edge Plaud devices for all new hires.

  • Team & Culture Annual company offsites, team events, and a culture that values craftsmanship, ownership, and velocity.

  • Medical & Insurance Coverage Comprehensive benefits to protect our employees' financial security, physical health, and longterm growth. Medical insurance and WICA coverage for all full-time employees.

Disclaimer: Plaud is and will continue to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristics.

Similar Jobs

5 Hours Ago
In-Office
Singapore, SGP
Mid level
Mid level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The Facilities Engineer is responsible for overseeing UPW and WW systems operations, maintenance, and engineering projects, ensuring compliance and sustainability goals are met.
Top Skills: Control AutomationUltra-Pure Water SystemsWastewater Treatment Systems
5 Hours Ago
In-Office
Singapore, SGP
Expert/Leader
Expert/Leader
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The Staff Engineer in Process Development focuses on optimizing thin film processes and ensuring integration readiness, while mentoring junior engineers and driving continuous improvement through AI tools.
Top Skills: Carbon FilmCvdDielectricDiffusionFab MetrologyPlasma ProcessesVacuum Systems
Senior level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The MTS leads dry etch technology development, drives equipment roadmaps, and mentors engineers while solving complex problems in NAND scaling.
Top Skills: Ai-Assisted AnalysisDoeDry Etch TechnologyPlasma Etch FundamentalsPythonSpc

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account