Tyler Postle

Co-Founder

San Francisco, California, United States11 yrs 3 mos experience

AI EnabledHighly Stable

Key Highlights

Founder of No-Code AI builder Voker.
Led data science teams at multiple organizations.
Expert in AI infrastructure and analytics.

Stackforce AI infers this person is a SaaS and Data Science expert with a strong focus on AI-driven solutions.

Contact

Skills

Core Skills

Ai InfrastructureProduct ManagementData ScienceBusiness AnalyticsAnalyticsTechnology ManagementData AnalysisReportingResearchEngineeringOperations Management

Other Skills

No-Code AI builderCollaborationAI featuresConversionRetentionRevenue GrowthRevenue ForecastingOperationsAutomation Data SciencePredictive ModelingRisk DetectionFraud DetectionTechnology LeadershipSoftware EngineeringData Engineering

About

❗ Most teams shipping agents have no idea if it's actually working. ❗ Your agents are in production. Users are interacting with them every day. But PMs are waiting on engineers to pull logs, engineers are buried in reactive debugging, and nobody has a clear answer to: is this actually driving outcomes? The result? Slow iteration, misaligned priorities, and AI investments that are hard to defend. Voker closes that loop. ✅ PMs can surface trends, review conversations, and drive improvements, without waiting on engineering. ✅ Engineers set up once and hand off visibility, not tickets. ✅ Teams move from gut feeling → real metrics → measurable impact. 🚀 If your product team is ready to build agents that are actually measurable, explainable, and aligned with real outcomes, start with Voker.

Experience

Voker (yc s24)

Co-Founder

Jul 2024 – Present · 1 yr 9 mos · Los Angeles, California, United States · Remote

For most businesses, AI Infrastructure isn't their core focus. That's why they use Voker, the No-Code AI builder. We simplify each step of the AI lifecycle and streamline collaboration so product teams can build better AI features faster (without engineers). Our customers build with Voker to delight their users with AI enhancements that improve conversion and retention.

AI InfrastructureNo-Code AI builderCollaborationAI featuresConversionRetention+1

Appfolio

2 roles

Director of Business Data Science & Analytics

Jan 2024 – Aug 2024 · 7 mos · Santa Barbara, California, United States

As the Director of Business Data Science & Analytics at Appfolio (APPF), I was responsible for Revenue Growth, Revenue Forecasting, Operations, and Automation Data Science & Analytics for all Appfolio Business Lines.

Revenue GrowthRevenue ForecastingOperationsAutomation Data ScienceAnalyticsData Science+1

Director of Data Science & Analytics - Payments, Screenings, Insurance

Feb 2023 – Jul 2024 · 1 yr 5 mos · Santa Barbara, California, United States

As the Director of Data Science & Analytics at Appfolio (APPF), I lead teams of Data Scientists and Analysts supporting key business insights, forecasting, risk & fraud detection, reporting, and predictive modeling for Appfolio's Payments, Screenings, and Insurance business lines.

Data SciencePredictive ModelingRisk DetectionFraud DetectionReportingAnalytics

Lull

6 roles

VP of Technology and Analytics

Promoted

Jan 2022 – Feb 2023 · 1 yr 1 mo

As Vice President of Technology & Analytics, I lead the technology & software engineering, data engineering, data science, and analytics departments.

Technology LeadershipSoftware EngineeringData EngineeringData ScienceAnalyticsTechnology Management

Director of Data Science

Dec 2020 – Jan 2022 · 1 yr 1 mo

Head of Lull’s Data Science and Analytics department. Our department designs and delivers reporting, analysis and predictive models for the company. We build and maintain the infrastructure to support those efforts. Our deep integration with our marketing team allows us to deliver relevant tools, analyses, and models that create immediate impact on our CAC and ROAS.

Data ScienceAnalyticsReportingPredictive ModelsInfrastructure

Senior Data Science Manager

Promoted

Dec 2019 – Dec 2020 · 1 yr

Head of Lull’s Data Science and Analytics department. Our department designs and delivers reporting, analysis and predictive models for the company. We build and maintain the infrastructure to support those efforts. Our deep integration with our marketing team allows us to deliver relevant tools, analyses, and models that create immediate impact on our CAC and ROAS.

Data ScienceAnalyticsReportingPredictive ModelsInfrastructure

Data Science Manager

Apr 2019 – Dec 2019 · 8 mos

Lead for Lull's data science & analytics team. Responsible for providing data-driven insights to inform business decisions. Building an advanced analytics infrastructure with cutting edge technology. Currently advancing company data processes and implementing predictive machine learning solutions. Liaison between engineering, marketing, and business ops teams.

Data ScienceAnalyticsPredictive Machine LearningData Processes

Lead Analyst

Promoted

Mar 2018 – Apr 2019 · 1 yr 1 mo

Lead for Lull's data science & analytics team. Responsible for providing data-driven insights to inform business decisions. Built predictive models that are closely integrated with marketing platforms to provide actionable insights, reducing decision times by 75%. Currently advancing company data processes and implementing predictive machine learning solutions.

Data ScienceAnalyticsPredictive Models

Marketing Analyst

Oct 2017 – Mar 2018 · 5 mos

Responsible for providing data-driven insights to inform business decisions. Automating reporting using Python Pandas, and excel macros. Provide analysis for web ops and marketing teams.

Data AnalysisReportingAutomationPythonExcel Macros

Entrepreneur's association at ucsb

Chief Operations Officer

Jun 2015 – May 2017 · 1 yr 11 mos · UC Santa Barbara

Head Organizer of UCSB Startup Weekend 2017. As COO, I worked to define organizational goals, and promote an operational order that helped us achieve those goals.

Organizational GoalsOperational OrderOperations Management

Uc santa barbara

Undergraduate Researcher

Apr 2015 – Jan 2018 · 2 yrs 9 mos · University of California, Santa Barbara

Studying the fundamental properties of organic transistors
Using nanoscale surface characterization techniques such as Atomic Force Microscopy and Electrostatic Force Microscopy to probe thin-film morphology
Securing funding through grant proposals
Improving the mobility, stability, and performance of organic transistors
Working with the Mitsubishi company to create organic transistors that can be used in consumer products, such as flexible screens and cheap sensors

Nanoscale Surface CharacterizationOrganic TransistorsGrant ProposalsResearchEngineering

Summer institute in mathematics and science

Undergraduate Researcher

Aug 2013 – Sep 2013 · 1 mo · University of California, Santa Barbara

Worked in Luke Theogarajan's Electrical Engineering lab developing a glucose monitoring system with an app for I-Phone and Android.
Took advanced courses in Math, Physics, and Technical Writing
Investigated the chemical structure of common drugs such as Tylenol and Advil

Glucose Monitoring SystemApp DevelopmentResearchEngineering