Director of Technical Program Management at Twelve Labs

San Francisco, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

10+ years of program management experience in fast-scaling tech companies
5+ years in AI/ML or other deep technical domains
Track record of leading cross-functional programs spanning research, engineering, and customer-facing teams
Experience managing and developing TPMs; ability to build a high-performing function
Proven ability to partner with GTM organizations (sales, success, partnerships) to align execution with customer needs
Excellent communication and stakeholder management skills, including executive-level reporting and influencing
Proven experience operating in ambiguity and designing just-enough process to enable speed and clarity
Strong Candidates May Also Have: Bachelor’s degree in Computer Science, Engineering

Responsibilities

Drive execution at scale: Orchestrate multiple complex, high-stakes programs across 60+ engineers, researchers, and product teams
Run quarterly and monthly execution cycles across all pods; facilitate cross-functional collaboration and hold pods accountable for outcomes
Provide real-time visibility for leaders and stakeholders; proactively escalate issues, drive deep dives, and promote healthy debate to ensure the right decisions are made
Drive progress by asking tough questions, promoting healthy debate and holding people accountable
Align and connect pods: Ensure pod roadmaps and commitments are coherent, achievable, and designed with minimal interdependencies
Define and improve operational processes that span multiple pods (e.g. QA, support, release)
Act as the connective tissue across pods to drive context-sharing and smooth handoffs
Bridge research, product, engineering, and GTM: Own intake and prioritization of external asks (e.g. customer onboarding requirements) into the technical organization
Partner with Sales, Customer Success, and Partnerships to align technical milestones with customer and market timelines
Tie research and science metrics directly to engineering and product metrics to create a unified view of progress
Lead and scale the TPM function: Build, mentor, and manage a high-performing TPM team that raises the bar for program management at TwelveLabs
Establish lightweight systems for portfolio visibility, prioritization, and cross-org communication
Improve organizational effectiveness by identifying bottlenecks, implementing scalable processes, and enabling speed without bureaucracy
Represent TPM at the leadership table as a strategic partner to Engineering, Product, and GTM executives

Skills

Technical Program Management

Cross-Functional Collaboration

Roadmap Planning

Stakeholder Management

Team Mentoring

Execution Orchestration

Risk Escalation

Prioritization

Communication

Process Streamlining

Twelve Labs

AI system for video content understanding

About Twelve Labs

Twelve Labs focuses on artificial intelligence and video understanding by developing a system that analyzes videos to extract key features like actions, objects, and speech. This information is transformed into vector representations, enabling fast semantic search within large video datasets. The company differentiates itself by providing a platform that is faster and more effective than many existing models, allowing developers and product managers to easily integrate its technology through an API. Twelve Labs aims to make all videos searchable, enhancing the way businesses utilize video content.

San Francisco, CaliforniaHeadquarters

2021Year Founded

$104.2MTotal Funding

EARLY_VCCompany Stage

Enterprise Software, AI & Machine Learning, EducationIndustries

51-200Employees

Risks

Increased competition from emerging AI startups in video understanding.

Rapid AI advancements require continuous innovation, straining resources.

Potential over-reliance on key investors like SK Telecom and Databricks.

Differentiation

Twelve Labs offers a comprehensive AI system for multimodal video understanding.

Their technology transforms video content into vector representations for fast semantic search.

The platform's API allows easy integration into clients' systems with minimal effort.

Upsides

Growing demand for AI-driven video analytics in education, healthcare, and security sectors.

Recent $30 million funding enhances technology development and strategic partnerships.

Collaboration with cloud providers boosts scalability and efficiency of video processing.

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