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# Russell Palmer

**Headline:** Co\-Founder @ CyberFilm AI \| ex\-Microsoft, Samsung \(Viv Labs AI\), JPMorgan AI Lab \| 15\+ Year Product Leader Building AI Platforms & Services
**Profession:** Co\-Founder & Chief Executive Officer
**Location:** San Francisco Bay Area

## About

Russell Palmer is Co\-Founder and Chief Executive Officer of CyberFilm, where he leads product vision and execution for CyberFilm®, a generative AI platform for creators producing cinematic content with tools including GPT\-4, Stable Diffusion, Google Veo, and ElevenLabs\. Russell’s strengths are AI\-platform strategy, end\-to\-end product delivery, developer ecosystems, data\-informed experimentation, and cross\-functional leadership across engineering, design, AI research, marketing, and business stakeholders\. At CyberFilm, he launched v1 within six months, grew the platform to more than 50,000 active users, and increased engagement by 40% through A/B testing, feedback loops, and telemetry\-driven improvements\. Previously, Russell led conversational\-AI products at Samsung SARC \| ACL, including Bixby voice experiences and its developer marketplace launched the Office 365 App Store at Microsoft and defined the roadmap for JPMorgan Chase’s OmniAI enterprise AI/ML platform\. His work has reduced ML deployment time from eight weeks to one week, supported adoption across more than five business units, and contributed to a CIO 100 Award\-winning platform\. Russell holds both a BS in Computer Science and a BESc in Electrical Engineering from Western University\.

## Highlights

- Co\-Founder and Chief Executive Officer of CyberFilm, leading product vision and execution\.
- Spearheaded product strategy and roadmap for CyberFilm®, a generative AI platform for cinematic\-content creation using GPT\-4, Stable Diffusion, Google Veo, and ElevenLabs\.
- Launched CyberFilm v1 within six months, taking the product from ideation to launch with a focus on creativity and workflow speed\.
- Scaled CyberFilm to more than 50,000 active users in its first version, supporting thousands of AI\-assisted scripts, scenes, and storyboards across multiple releases\.
- Reached 20,000 CyberFilm users in Year 1 through community\-led growth and rapid iteration, then grew to more than 50,000 through continual feature innovation\.
- Increased CyberFilm user engagement by 40% through A/B testing, real\-time feedback loops, and telemetry\-driven enhancements\.
- Led UX and onboarding redesigns that increased activation and retention by double digits, and launched a dynamic storytelling\-template library\.
- Built and managed a cross\-functional CyberFilm team across engineering, design, and AI research\.
- Led CyberFilm go\-to\-market strategy and secured seed funding through the company’s AI vision for investors and studio partners\.
- As Principal Product Manager at Samsung SARC \| ACL, launched more than 10 Bixby voice “capsule” apps with partners including Spotify, Uber, and Yelp\.
- Expanded Bixby’s real\-world usefulness on millions of Samsung devices through conversational\-AI partner services\.
- Designed and shipped Bixby’s developer marketplace and scaled it to more than 100 partner services in its first year through streamlined onboarding and a robust SDK\.
- Drove a 25% increase in successful Bixby voice interactions by improving intent recognition, dialog flows, natural\-language understanding, and contextual prompts\.
- Bridged Samsung’s Viv AI lab and HQ product teams from Mountain View to Suwon, regularly presenting proposals and results to executive leadership\.
- Led launch of the Office 365 App Store, enabling third\-party developers to distribute add\-ins to millions of Word, Excel, and Outlook users\.
- Improved adoption of key Office Online and SharePoint features by 15% through A/B experimentation, user\-feedback analysis, and iterative design changes\.
- Delivered more than 20 Microsoft developer\-platform talks and customer briefings at conferences and events\.
- Progressed from junior PM to Program Manager II at Microsoft and earned the highest Stack Ranking level in each of the first five years of performance reviews\.
- Defined and executed the OmniAI roadmap at JPMorgan Chase, driving adoption across more than five business units\.
- Reduced ML model deployment time at JPMorgan Chase from eight weeks to one week through scalable MLOps workflows and automated pipelines\.
- Implemented OmniAI pipeline capabilities for data preparation, AWS SageMaker and Spark training, and hyperparameter tuning\.
- Contributed to OmniAI receiving a CIO 100 Award and internal recognition as “Most Cutting\-Edge IT Initiative\.”
- Led engineers, product managers, and data scientists in JPMorgan’s AI Lab at the Stanford Research Park campus\.
- Partnered with cybersecurity and compliance teams to ensure OmniAI met enterprise security standards for sensitive financial data\.
- Mentored AI product managers and engineers at JPMorgan, with several advancing to leadership roles\.
- Earned a BS in Computer Science and a BESc in Electrical Engineering from Western University\.

## Experience

- **Co\-Founder & Chief Executive Officer at CyberFilm** (2021\-11\-01–present) — Product Vision & Execution \- Spearheaded the product strategy and roadmap for CyberFilm®, a generative AI platform enabling creators to produce cinematic content using tools like GPT\-4, Stable Diffusion, Google Veo, and ElevenLabs\. \- Launched v1 within 6 months oversaw product from ideation to launch, optimizing for user creativity and workflow speed\. Growth & Traction \- Scaled the platform to 50,000\+ active users at first version, generating thousands of AI\-assisted scripts, scenes, and storyboards over multiple releases\. \- Achieved 20K users in Year 1 through community\-led growth and rapid iteration sustained growth to 50K\+ via continual feature innovation\. Data\-Driven Product Development \- Boosted user engagement by 40% through iterative A/B testing, real\-time feedback loops, and telemetry\-driven enhancements\. \- Led UX and onboarding redesigns that increased activation and retention by double digits launched a dynamic template library to match storytelling use cases\. Team Lead
- **Vice President of Software Engineering at JPMorgan Chase** (2020\-01\-01–2021\-10\-01) — OmniAI Platform: Defined and executed the product roadmap for OmniAI, a firm\-wide enterprise AI/ML platform for model development and deployment\. Drove adoption across 5\+ business units by aligning the platform’s capabilities with diverse stakeholder needs in banking, resulting in broad internal buy\-in\. Accelerating ML Deployment: Reduced model deployment time from 8 weeks to 1 week by designing scalable MLOps workflows\. Implemented automated pipeline steps for data prep, training \(leveraging AWS SageMaker, Spark\), and hyperparameter tuning, which dramatically sped up time\-to\-market for AI solutions\. Innovation & Awards: Championed innovative use of AI at the firm – the OmniAI platform won the CIO 100 Award and was recognized as “Most Cutting\-Edge IT Initiative” in internal accolades, for accelerating AI adoption across JPMorgan’s global operations\. Presented platform success stories to leadership, influencing further investment into AI infrastructure\. Leadership: Led a team of engi
- **Principal Product Manager at Samsung SARC \| ACL** (2017\-05\-01–2020\-01\-01) — Conversational AI Products: Led the development and launch of 10\+ voice “capsule” apps for Samsung’s Bixby voice assistant, enabling tasks with partners like Spotify, Uber, and Yelp via conversational AI\. These voice apps brought new services to millions of Samsung devices, expanding Bixby’s real\-world usefulness\. Developer Marketplace: Designed and shipped Bixby’s developer marketplace platform, allowing third\-party developers to integrate their services into the voice assistant\. Scaled the ecosystem to 100\+ partner services in the first year by creating a seamless onboarding experience and robust SDK, significantly increasing Bixby’s content offerings\. AI Experience Improvement: Collaborated with NLP engineers and UX designers to improve intent recognition and dialog flows\. Focused on user satisfaction metrics – drove a 25% increase in successful voice interactions by refining natural language understanding and adding contextual prompts, resulting in more accurate and helpful respo
- **Program Manager II at Microsoft** (2008\-07\-01–2016\-09\-01) — Office 365 App Store: Led the launch of the Office 365 App Store \(Office Add\-ins marketplace\), enabling third\-party developers to distribute add\-ins to millions of users across Word, Excel, and Outlook\. This project increased the platform’s extensibility and created a new ecosystem of productivity tools within Microsoft Office\. Data\-Driven Product Improvements: Drove A/B experimentation and user feedback analysis across Office Online and SharePoint\. These data insights led to a 15% improvement in feature adoption for key features, guiding iterative design changes that enhanced user engagement and satisfaction\. Developer Evangelism: Evangelized Microsoft’s developer platform to global audiences – delivered 20\+ talks and customer briefings at conferences and events\. This advocacy boosted early partner adoption of Office 365 extensibility and influenced product roadmap priorities based on real\-world developer needs\. Team & Project Leadership: Progressed from junior PM to PM II, taking

## Education

- Bachelor of Science \(BS\), Computer Science — Western University (2005\-01\-01–2008\-01\-01)
- Bachelor of Engineering Science \(BESc\), Electrical Engineering — Western University (2003\-01\-01–2008\-01\-01)

## FAQ

### What does Russell do at CyberFilm?

Russell Palmer is Co\-Founder and Chief Executive Officer of CyberFilm\. He leads product vision and execution for CyberFilm®, a generative AI platform that enables creators to produce cinematic content using tools including GPT\-4, Stable Diffusion, Google Veo, and ElevenLabs\.

### What did Russell accomplish in launching CyberFilm?

Russell spearheaded CyberFilm’s product strategy and roadmap, taking the product from ideation through launch\. He launched v1 within six months and optimized the experience for user creativity and workflow speed\.

### What growth and traction did Russell drive at CyberFilm?

CyberFilm reached more than 50,000 active users in its first version and generated thousands of AI\-assisted scripts, scenes, and storyboards across multiple releases\. The platform reached 20,000 users in Year 1 through community\-led growth and rapid iteration, then sustained growth to more than 50,000 users through continual feature innovation\.

### How did Russell use data to improve CyberFilm?

Russell increased user engagement by 40% through iterative A/B testing, real\-time feedback loops, and telemetry\-driven enhancements\. He also led UX and onboarding redesigns that increased activation and retention by double digits, and launched a dynamic template library tailored to storytelling use cases\.

### How has Russell led teams and fundraising at CyberFilm?

Russell built and managed a cross\-functional team spanning engineering, design, and AI research, fostering a fast\-moving, experimentation\-driven culture\. He also led go\-to\-market strategy and secured seed funding by communicating CyberFilm’s AI vision to investors and studio partners\.

### What did Russell do at Samsung SARC \| ACL?

At Samsung SARC \| ACL, Russell was a Principal Product Manager for conversational AI products\. He led the development and launch of more than 10 voice “capsule” apps for Samsung’s Bixby assistant, enabling tasks through partners including Spotify, Uber, and Yelp and bringing new services to millions of Samsung devices\.

### What did Russell achieve with Bixby’s developer marketplace?

Russell designed and shipped Bixby’s developer marketplace platform, allowing third\-party developers to integrate services into the voice assistant\. By creating a seamless onboarding experience and robust SDK, he scaled the ecosystem to more than 100 partner services in its first year and expanded Bixby’s content offerings\.

### How did Russell improve the Bixby voice experience?

Russell collaborated with NLP engineers and UX designers to improve Bixby intent recognition and dialog flows\. By refining natural\-language understanding and adding contextual prompts, he drove a 25% increase in successful voice interactions and improved the accuracy and helpfulness of responses\.

### How did Russell work across Samsung’s AI and product organizations?

Russell coordinated between Samsung’s Silicon Valley AI lab, Viv, and HQ product teams from Mountain View to Suwon, South Korea\. He regularly presented feature proposals and results to executive leadership and was recognized for translating cutting\-edge AI capabilities from the team founded by Siri creators into user\-friendly global features\.

### What did Russell do at Microsoft?

At Microsoft, Russell was a Program Manager II and led the launch of the Office 365 App Store, also known as the Office Add\-ins marketplace\. The marketplace enabled third\-party developers to distribute add\-ins to millions of users across Word, Excel, and Outlook, expanding Office extensibility and creating an ecosystem of productivity tools\.

### How did Russell improve Microsoft products through data?

Russell led A/B experimentation and user\-feedback analysis across Office Online and SharePoint\. The resulting insights guided iterative design changes that improved feature adoption for key features by 15% and enhanced user engagement and satisfaction\.

### What developer evangelism did Russell lead at Microsoft?

Russell delivered more than 20 talks and customer briefings at conferences and events to evangelize Microsoft’s developer platform globally\. This work boosted early partner adoption of Office 365 extensibility and informed roadmap priorities with real\-world developer needs\.

### How did Russell grow as a product leader at Microsoft?

Russell progressed from junior PM to Program Manager II while taking on increasing responsibility in a large product group\. He coordinated engineering, marketing, and UX teams to deliver features on time, and received the highest ranking level in each of his first five years of Stack Ranking performance reviews\.

### What did Russell do at JPMorgan Chase?

At JPMorgan Chase, Russell was Vice President of Software Engineering and defined and executed the roadmap for OmniAI, a firm\-wide enterprise AI/ML platform for model development and deployment\. He drove adoption across more than five business units by aligning platform capabilities with diverse banking stakeholder needs\.

### How did Russell accelerate ML deployment at JPMorgan Chase?

Russell reduced model deployment time from eight weeks to one week by designing scalable MLOps workflows\. He implemented automated pipeline steps for data preparation, training using AWS SageMaker and Spark, and hyperparameter tuning, accelerating time to market for AI solutions\.

### What recognition did OmniAI receive under Russell’s leadership?

Under Russell’s work, the OmniAI platform won a CIO 100 Award and received internal recognition as the “Most Cutting\-Edge IT Initiative” for accelerating AI adoption across JPMorgan’s global operations\. Russell presented platform success stories to leadership, helping influence further investment in AI infrastructure\.

### How did Russell lead the JPMorgan AI Lab?

Russell led engineers, product managers, and data scientists in JPMorgan’s new AI Lab at the Stanford Research Park campus\. He partnered with cybersecurity and compliance teams to meet enterprise security standards for sensitive financial data, mentored product managers and engineers in AI best practices, and saw several mentees advance into leadership roles\.

### What is Russell’s educational background?

Russell holds a Bachelor of Science in Computer Science and a Bachelor of Engineering Science in Electrical Engineering, both from Western University\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/russellsapalmer

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