Product Manager

Augment

35d • Onsite

About The Position

The ideal candidate is a 0-1 visionary who is passionate about using AI in building new product offerings that meaningfully reduce toil and make logistics better.
Seek truth. Go onsite; shadow users; get user feedback; act as a user all in search of the truth. Use that knowledge to build the product vision.
Write detailed product requirements, narratives, and technical specifications.
Spearhead the development and implementation of AI-driven agents for the logistics world by working closely with engineering, product design, and data science teams.
Oversee implementations with a few customers and devise implementation plans for scale deployment, including self-onboarding and self-serve help.
Work closely with the founders and commercial organization on go-to-market plans and pricing.

Requirements

• Have 6+ years of product management or related industry experience.
• Experience building delightful software products for complex industries with a physical layer like logistics.
• Obtained a bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field.
• Ability to organize, prioritize, build 0-1, and adapt in a rapid-growth startup.
• Proven experience working in a technical environment with cross-functional teams to drive product vision, define requirements, and guide the team through key milestones.
• Showcase strong leadership, organizational, and execution skills, along with proven communication abilities.
• Insatiable curiosity, undying passion, and ownership to take on hard real-world problems.
• Must be willing to work full-time in San Francisco or Austin and willing to travel.

Nice To Haves

• Experience building AI agentic applications.
• Experience with Open AI, Anthropic, Llama, and other leading LLMs and Cartesia, Eleven Labs voice models.
• Master’s further education or experience in engineering or computer science.
• Prior experience in Logistics, Freight brokerage, Shipping, and Warehouse technologies.
• Machine learning, operations research and optimization, developing large software systems, logistics & fulfillment industry, pricing algorithms, shipping technology.
• Rich GitHub or hackathon accolades, or other ways you can show that you love to build.

Responsibilities

• Seek truth. Go onsite; shadow users; get user feedback; act as a user all in search of the truth. Use that knowledge to build the product vision.
• Write detailed product requirements, narratives, and technical specifications.
• Spearhead the development and implementation of AI-driven agents for the logistics world by working closely with engineering, product design, and data science teams.
• Oversee implementations with a few customers and devise implementation plans for scale deployment, including self-onboarding and self-serve help.
• Work closely with the founders and commercial organization on go-to-market plans and pricing.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1-10 employees