go-augment
go-augment21d ago
New

Product Manager

San Franciscofull-timemid
Product ManagementProduct Manager
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Quick Summary

Key Responsibilities

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.

Technical Tools
anthropicawsmysqlopenaireacttypescriptmachine-learning

Logistics is broken. Let's fix it.

We are a group of engineers, product designers, and customer champions applying the most transformative technology of our times, AI, to one of the largest industries in the world, logistics. In our prior lives, we have built multi-billion dollar companies with products that delighted thousands of merchants and powered billions of dollars of commerce.

We are looking for intelligent, driven people with insatiable curiosity and a desire to make an impact. If you’re excited to build AI that can reason and take action, like humans, in one of the most complex industries in the world — apply below.

Responsibilities

~1 min read

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.

  • 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.

Nice to Have

~1 min read
  • 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.

  • Independent Service Oriented Architectures with services composed of:

    • Node, Typescript, MySQL RDS, SQS, SNS.

    • React and Redux for UI.

  • We run on AWS.

Augment is an Equal Opportunity Employer and values diversity at our company. We consider all qualified applicants without regard to race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability, or any other legally protected status.

Augment complies with federal, state, and local laws regarding equal employment opportunity and reasonable accommodation. If you need assistance or an accommodation during the application or interview process, please contact your recruiter.

We also consider qualified applicants with arrest and conviction records in accordance with applicable federal, state and local fair-chance / ban-the-box laws (for example, but not limited to, the California Fair Chance Act).

Our hiring process uses AI-powered tools to assist with screening and evaluating applications based on job-related criteria. All AI-assisted outputs are reviewed by human recruiters who make all decisions about which candidates advance in the process.

Location & Eligibility

Where is the job
San Francisco
Hybrid — some on-site time required
Who can apply
Same as job location

Listing Details

Posted
April 17, 2026
First seen
May 6, 2026
Last seen
May 8, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
21%
Scored at
May 6, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
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go-augmentProduct Manager