Product and Experience at Levity

Contribution

Product Management, Customer Experience, User Research, GTM

Industry

AI Tech, Logistics

I joined Levity on a mission to build the best no-code AI automation platform. I lead research, product strategy and development, growing from 0 to $6M in ARR within 2 years.I acted as a customer advocate, channeling VoC insights from interviews, user tests, technical programs and data analytics to influence product strategy and development.

Details

Role: Product and CX Lead

Team: Product, Development, Design, GTM

Stage: Pre-seed and Seed (€8.3M)

 

OUTCOMES

  • Scaled platform from MVP to $4M ARR in 2 years
  • Delivered AI-first experiences including LLM-powered workflows and voice assistants
  • Reduced onboarding and task completion time by simplifying workflows
  • Created product vision aligned with market feedback, reducing development waste
  • Established metrics, KPIs, and dashboards to track experience quality and impact

— Workshop session to develop company values

Designed and delivered AI-powered customer experiences, integrating voice assistants, LLM workflows, and automation.

As Founding Product and CX Lead at Levity, I shaped the end-to-end strategy for one of Europe’s most innovative no-code AI automation platforms. A core pillar of my work was the design and implementation of Conversational AI experiences. I led the integration of voice assistants and large language models (LLMs) into workflows, enabling users to interact with complex automation tasks using natural language. These interfaces dramatically improved usability and lowered the learning curve for non-technical users.

I built LLM-powered workflows that allowed users to generate automations, summarize input data, and troubleshoot issues through dialogue. By introducing AI-driven voice and chat interfaces, we reduced time-on-task, improved first-time success rates, and unlocked new self-service capabilities.

—  Digital ecosystem planning

AI into action: voice and chat interfaces that make automation intuitive and impactful.

Highlights:

  • Conversational AI interfaces: Designed voice and LLM chat layers that allowed users to build automations by describing goals in natural language.
  • LLM integration: Delivered GenAI-powered features to create charts, summarize responses, and provide decision support inside workflows.
  • VoC-driven design: Led continuous feedback loops—user interviews, usability tests, analytics—that informed roadmap and interaction models.
  • Cross-functional collaboration: Worked with AI engineers, designers, and GTM leads to deliver features from concept to launch.
  • 20% MoM revenue growth: Driven by product-market fit improvements powered by conversational UX and simplified onboarding.

My Approach to AI Experience Design:

  1. Voice-of-Customer + Data: Used structured interviews and funnel metrics to uncover friction points in automation setup.
  2. AI-Powered Journey Mapping: Designed multimodal flows combining click-based actions with LLM-generated prompts and responses.
  3. Experimentation & Iteration: Built, tested, and refined conversational interfaces with measurable impact on activation and retention.

—  Product vision concept

Culture and Change Workshops

® 2025 Sofia Silva. All rights reserved

sofia@sofiasilva.co   |  +31 618 570 382   |   Linkedin →

Product and Experience at Levity

Contribution

Product Management, Customer Experience, User Research, GTM

Industry

AI Tech, Logistics

I joined Levity on a mission to build the best no-code AI automation platform. I lead research, product strategy and development, growing from 0 to $6M in ARR within 2 years.I acted as a customer advocate, channeling VoC insights from interviews, user tests, technical programs and data analytics to influence product strategy and development.

Details

Role: Product and CX Lead

Team: Product, Development, Design, GTM

Stage: Pre-seed and Seed (€8.3M)

 

OUTCOMES

  • Scaled platform from MVP to $4M ARR in 2 years
  • Delivered AI-first experiences including LLM-powered workflows and voice assistants
  • Reduced onboarding and task completion time by simplifying workflows
  • Created product vision aligned with market feedback, reducing development waste
  • Established metrics, KPIs, and dashboards to track experience quality and impact

— Workshop session to develop company values

Designed and delivered AI-powered customer experiences, integrating voice assistants, LLM workflows, and automation.

As Founding Product and CX Lead at Levity, I shaped the end-to-end strategy for one of Europe’s most innovative no-code AI automation platforms. A core pillar of my work was the design and implementation of Conversational AI experiences. I led the integration of voice assistants and large language models (LLMs) into workflows, enabling users to interact with complex automation tasks using natural language. These interfaces dramatically improved usability and lowered the learning curve for non-technical users.

I built LLM-powered workflows that allowed users to generate automations, summarize input data, and troubleshoot issues through dialogue. By introducing AI-driven voice and chat interfaces, we reduced time-on-task, improved first-time success rates, and unlocked new self-service capabilities.

—  Digital ecosystem planning

AI into action: voice and chat interfaces that make automation intuitive and impactful.

Highlights:

  • Conversational AI interfaces: Designed voice and LLM chat layers that allowed users to build automations by describing goals in natural language.
  • LLM integration: Delivered GenAI-powered features to create charts, summarize responses, and provide decision support inside workflows.
  • VoC-driven design: Led continuous feedback loops—user interviews, usability tests, analytics—that informed roadmap and interaction models.
  • Cross-functional collaboration: Worked with AI engineers, designers, and GTM leads to deliver features from concept to launch.
  • 20% MoM revenue growth: Driven by product-market fit improvements powered by conversational UX and simplified onboarding.

My Approach to AI Experience Design:

  1. Voice-of-Customer + Data: Used structured interviews and funnel metrics to uncover friction points in automation setup.
  2. AI-Powered Journey Mapping: Designed multimodal flows combining click-based actions with LLM-generated prompts and responses.
  3. Experimentation & Iteration: Built, tested, and refined conversational interfaces with measurable impact on activation and retention.

—  Product vision concept

Culture and Change Workshops

® 2025 Sofia Silva. All rights reserved

sofia@sofiasilva.co   |  +31 618 570 382   |   Linkedin →

Product and Experience at Levity

Contribution

Product Management, Customer Experience, User Research, GTM

Industry

AI Tech, Logistics

I joined Levity on a mission to build the best no-code AI automation platform. I lead research, product strategy and development, growing from 0 to $6M in ARR within 2 years.I acted as a customer advocate, channeling VoC insights from interviews, user tests, technical programs and data analytics to influence product strategy and development.

Details

Role: Product and CX Lead

Team: Product, Development, Design, GTM

Stage: Pre-seed and Seed (€8.3M)

 

OUTCOMES

  • Scaled platform from MVP to $4M ARR in 2 years
  • Delivered AI-first experiences including LLM-powered workflows and voice assistants
  • Reduced onboarding and task completion time by simplifying workflows
  • Created product vision aligned with market feedback, reducing development waste
  • Established metrics, KPIs, and dashboards to track experience quality and impact

— Workshop session to develop company values

Designed and delivered AI-powered customer experiences, integrating voice assistants, LLM workflows, and automation.

As Founding Product and CX Lead at Levity, I shaped the end-to-end strategy for one of Europe’s most innovative no-code AI automation platforms. A core pillar of my work was the design and implementation of Conversational AI experiences. I led the integration of voice assistants and large language models (LLMs) into workflows, enabling users to interact with complex automation tasks using natural language. These interfaces dramatically improved usability and lowered the learning curve for non-technical users.

I built LLM-powered workflows that allowed users to generate automations, summarize input data, and troubleshoot issues through dialogue. By introducing AI-driven voice and chat interfaces, we reduced time-on-task, improved first-time success rates, and unlocked new self-service capabilities.

—  Digital ecosystem planning

AI into action: voice and chat interfaces that make automation intuitive and impactful.

Highlights:

  • Conversational AI interfaces: Designed voice and LLM chat layers that allowed users to build automations by describing goals in natural language.
  • LLM integration: Delivered GenAI-powered features to create charts, summarize responses, and provide decision support inside workflows.
  • VoC-driven design: Led continuous feedback loops—user interviews, usability tests, analytics—that informed roadmap and interaction models.
  • Cross-functional collaboration: Worked with AI engineers, designers, and GTM leads to deliver features from concept to launch.
  • 20% MoM revenue growth: Driven by product-market fit improvements powered by conversational UX and simplified onboarding.

My Approach to AI Experience Design:

  1. Voice-of-Customer + Data: Used structured interviews and funnel metrics to uncover friction points in automation setup.
  2. AI-Powered Journey Mapping: Designed multimodal flows combining click-based actions with LLM-generated prompts and responses.
  3. Experimentation & Iteration: Built, tested, and refined conversational interfaces with measurable impact on activation and retention.

—  Product vision concept

Culture and Change Workshops

® 2025 Sofia Silva. All rights reserved

sofia@sofiasilva.co   |  +31 618 570 382   |   Linkedin →