Director of Product at ASAPP

Mountain View, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

YesVisa

Artificial Intelligence, AI & Machine LearningIndustries

Requirements

Candidates must possess over 10 years of technical product management experience, including significant leadership roles, and deep expertise in ML/AI development tools and platforms. A proven track record of delivering and scaling complex enterprise products, a strong understanding of developer productivity, and the ability to craft and drive long-term strategic visions are essential. Experience working closely with engineering, data science, and research teams, coupled with strong communication skills for diverse audiences and an ownership mindset with accountability, creativity, and analytical rigor, are required. The role also necessitates cross-functional collaboration across engineering, design, research, product, TPM, and GTM teams.

Responsibilities

The Director of Product will lead the strategy, execution, and adoption of ASAPP’s Core ML Platform and data tools, empowering data engineers, scientists, and developers. This includes defining the product vision, prioritizing the roadmap, and delivering enterprise-grade innovation to accelerate ML development. Responsibilities include driving adoption of ML Platform data tools, capturing and prioritizing customer requirements, partnering with platform teams on a shared vision, defining and tracking success metrics, anticipating risks, conducting market analyses, communicating product progress, collaborating with sales and marketing, and maintaining a prioritized backlog.

Skills

Product Strategy

Roadmap Prioritization

ML Platform

Data Tools

Requirements Gathering

Market Analysis

Competitive Analysis

Metrics Definition

Risk Mitigation

Communication

Collaboration

ASAPP

AI tools for enhancing customer service

About ASAPP

ASAPP provides AI-powered tools to improve customer service operations. Their main product is a conversational AI voice and chat agent that accurately transcribes calls, automates call summaries, and generates automated responses to enhance agent productivity. Targeting businesses with high volumes of customer interactions, such as call centers and support departments, ASAPP operates in the customer experience market, which is growing as companies focus on customer satisfaction. They offer their services through a subscription model, allowing clients to access their tools while ensuring ongoing updates. ASAPP's goal is to enhance human performance in customer service by addressing inefficiencies and providing insights that help businesses make informed decisions and improve customer experiences.

New York City, New YorkHeadquarters

2014Year Founded

$369.6MTotal Funding

SERIES_CCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees

Benefits

Learning & Development

Comprehensive Health Benefits

Daily Catered Meals

Vacation

401K Program

Family Leave

Risks

Emerging AI startups could erode ASAPP's market share with similar solutions.

Rapid AI advancements may lead to obsolescence if ASAPP doesn't innovate.

Data privacy concerns and regulatory scrutiny could impact ASAPP's operations and client trust.

Differentiation

ASAPP's AI Native products enhance productivity by automating workflows and augmenting human activity.

The CXP platform provides real-time guidance for customer care and sales agents.

ASAPP's machine learning models continuously learn from interactions, improving agent performance without manual programming.

Upsides

CoachingAI automates quality assurance, allowing supervisors to focus on agent coaching.

Frank Slootman's board membership could enhance ASAPP's strategic market positioning.

AutoTranscribe's high accuracy improves contact center efficiency by reducing transcription errors.

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