Plaud

Product Designer

• Own end-to-end product design for complex AI-powered workflows across web, desktop, and mobile.
• Partner closely with PM and Engineering to drive experience decisions from discovery to launch.
• Translate AI capabilities into clear, usable, and trustworthy user experiences.
• Lead design decisions within a Pod, ensuring quality, consistency, and delivery predictability.
• Validate solutions through rapid iteration, user feedback, and usability testing.

Senior Product Designer

Communications

• Own a core lifecycle phase end-to-end (post-acquisition onboarding, conversion, engagement, renewal, or win-back), with accountability for user outcomes and business impact.
• Define lifecycle strategy and hypotheses by identifying target user behaviors, prioritizing initiatives, and setting success metrics tied to funnel and cohort performance.
• Design, sequence, and lead experimentation across automation, segmentation, messaging, timing, and triggers, and make clear decisions on what to scale, iterate, or stop.
• Translate lifecycle data into decisions, diagnosing drop-offs, engagement decay, or churn patterns and adjusting strategy based on evidence rather than intuition.
• Set execution standards and guide specialists, reviewing work, unblocking delivery, mentoring execution talent, and ensuring learnings compound across the team.

Senior User Communications Specialist

Business Operations

• Design and deploy always-on AI workflows that monitor markets and selected brands.
• Monitor Plaud pricing across owned channels, marketplaces, and third-party platforms.
• Build dashboards and alerting systems by market.
• Monitor messaging across landing pages, marketplaces, and partner and distributor sites.
• Ensure messaging accuracy, freshness, compliance, and positioning consistency.
• Track competitor feature launches and messaging shifts.
• Build AI tools for messaging, marketing assets, and landing pages generation.
• Map influencer ecosystems by market: Platforms, creators, content formats, cadence, impressions, engagement.
• Build automated outreach workflows: Creator sourcing, AI-assisted personalization, follow-ups, and tracking.
• Monitor brand sentiment trends, emerging PR and regulatory risks, competitor and category-level news.
• Track and consolidate community feedback.
• Build early-warning dashboards and escalation signals.
• Track competitor ad creatives across Meta, Google, YouTube, Podcast, and other channels.
• Analyze creative angles, channel mix, scaling versus testing patterns.
• Maintain a searchable competitive ads intelligence library.
• Build an internal creative asset intelligence platform to track asset performance by market and channel.
• Measure expense, revenue, CTR, engagement, and ROI.
• Enable creatives and marketers to see what actually performs.
• Build AI-assisted attribution and marketing mix modeling frameworks.
• Support budget allocation, channel strategy, and ROI optimization.
• Deliver decision-ready dashboards for leadership.
• Design agentic workflows for lead sourcing and account research, personalized outbound, follow-ups, and deal progression.
• Integrate with CRM, email, calendar, and internal tools.

AI Business Operations Manager

DevOps Engineer

• Ensure reliability and performance of Plaud.ai’s AI products at scale
• Design and operate highly available, scalable cloud-native systems for AI workloads
• Own production reliability, incident response, and on-call practices
• Build observability (metrics, logs, tracing) and reliability automation
• Define and manage SLOs, SLIs, and error budgets with engineering teams
• Drive postmortems and reliability improvements across the platform
• Lead incident response and continuous reliability improvement
• Partner with product and engineering teams on reliability design
• Improve observability and operational maturity

Senior SRE Engineer

• Build and maintain CI/CD pipelines for AI products
• Implement infrastructure as code and cloud automation
• Improve developer productivity and release velocity
• Partner with security and SRE on safe deployments
• Optimize cost, reliability, and deployment quality

Senior DevOps Engineer

Security Engineer

• Protect Plaud.ai’s infrastructure, data, and users
• Design cloud and application security controls
• Lead incident response and investigations
• Embed security into engineering workflows
• Improve security posture as we scale
• Perform threat modeling and risk assessments
• Respond to and manage security incidents
• Embed security into CI/CD and SDLC
• Build security tooling and automation

Senior Security Engineer

Database Administrator

• Manage and scale databases for AI products
• Ensure high availability and data integrity
• Tune performance and storage efficiency
• Design backup, recovery, and DR strategies
• Partner with engineering on data architecture

Senior Database Administrator

Data Analyst

• Monitor and analyze key growth metrics across acquisition, activation, engagement, and retention.
• Build and maintain dashboards and reports that provide clear visibility into growth performance. Support the design, analysis, and validation of growth experiments and initiatives.
• Identify drivers behind metric changes, anomalies, or performance dips, and communicate insights clearly.
• Collaborate closely with cross-regional analytics stakeholders to align methodologies, share context, and ensure analytical consistency.

Data Analyst, Growth

Product Manager

• Architect the Plaud Agent Tooling Ecosystem: Lead the end-to-end strategic planning and execution of the Plaud Intelligence Agent's skill ecosystem. You will hold full ownership of the ecosystem's lifecycle—driving tool quantity, execution quality, and user penetration rates—transforming it from a 0-to-1 concept into a scalable, high-utility production platform.
• Define "Ground Truth" for User Scenarios: Transform complex product scenarios into quantifiable, high-bar evaluation metrics. You will drive the collaboration across Product, Evaluation, and Engineering teams to operationalize these standards, ensuring that abstract user needs are translated into deterministic business outcomes.
• Push Prompt Performance to SOTA Standards: Spearhead the advanced iteration of tool-related prompt strategies and context engineering infrastructure. Your mandate is to fine-tune the AI’s interaction logic and reasoning capabilities, ensuring the final output consistently benchmarks against Industry State-of-the-Art (SOTA) levels.

Agent Product Manager, Agent Tools

• Own the Teams monetization strategy and roadmap: plan design, pricing/packaging, workspace & seat model, and upgrade/downgrade paths.
• Design and ship admin-led purchase and lifecycle flows: checkout, renewals, cancellations, seat changes, refunds, and clear in-product messaging.
• Define entitlement and precedence rules so Teams and consumer plans can coexist cleanly in one app (eligibility, access control, context switching).
• Partner closely with Product, Engineering (Payments/Platform), Growth, and Operations to align on architecture, trade-offs, and execution.
• Set success metrics and drive closed-loop optimization through instrumentation, funnel diagnostics, experiments, and post-launch iteration.

Product Manager, Teams Product

Product Analyst

• Act as the subject matter expert in using data to analyze product and business performance for the Teams product, providing authoritative insights across adoption, engagement, and usage.
• Independently identify, frame, and solve high-impact product questions, leading analytical work that supports the Teams feature through its 0→1 phase.
• Partner closely with Product Managers and Engineering to define hypotheses and design, analyze, and interpret experiments or product launches that inform key product decisions.
• Develop and maintain core metrics, dashboards, and analytical views that provide clear visibility into product performance and learning progress.
• Collaborate cross-functionally, including with the Singapore-based analytics team, to translate insights into data-driven recommendations that improve product outcomes and execution.

Senior Product Analyst

• Own commercial analytics for the Teams product, including funnel performance, monetization metrics, and revenue outcomes.
• Define and maintain Teams pricing, packaging, and conversion KPIs, ensuring consistency and executive-ready reporting.
• Diagnose conversion drop-offs and growth drivers across the B2B funnel, translating insights into clear recommendations.
• Partner with Product and GTM stakeholders to evaluate pricing experiments, onboarding changes, and sales motions.
• Build scalable dashboards and analytical frameworks to support recurring business reviews and decision-making.

Data Analyst, Teams

• Lead the strategy and execution of commercial product initiatives, including redesigning subscription models and paid features.
• Plan and execute cross-platform user migration strategies, including payment platform transitions to optimize cost and experience (e.g., iOS → Stripe).
• Collaborate with engineering, design, and data analytics team to implement commercial features and ensure smooth rollout.
• Analyze user behavior, revenue impact, and adoption metrics to continuously refine commercial strategies and improve monetization.

Commercialization Product Manager

Engineer

• Research optimization solutions for terminology thesaurus from papers and design reasonable terminology filtering and hotword optimization solutions.
• Implement multi-language hotword algorithms based on SpeechLLM and optimize their effects; collaborate with the engineering team to deploy the hotword recognition solution.
• Combine scenario data to fine-tune the speech recognition model and improve ASR recognition effects across multiple languages and industries.
• Build a test set and system for keyword recognition and industry recognition engines, and evaluate the terminology recognition and industry engine effects of open-source models and commercial interfaces.

Audio Algorithm Engineer – Speaker Diarization

Product Marketing

• Lead and manage content strategy for Plaud’s product and AI ecosystem across global channels.
• Translate complex product features into clear, engaging, and educational narratives.
• Align product messaging with content calendars, editorial briefs, and creative guidelines.
• Collaborate cross-functionally with Product Marketing, IMC, and Copywriting teams to ensure consistency.
• Use AI and analytics tools to plan, optimize, and scale content performance across markets.