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AI Product Manager

Air Apps

Company websiteairapps.co (Air Apps, opens in new tab)

Base salary $120K  to $170K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (2 h ago) · observed since

About this job

About Air Apps

At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.

Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.

Join us on this journey to redefine resource management—and change lives along the way.

The Role

As an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences. You will lead the product development lifecycle for AI-driven features, working closely with engineers, designers, and data scientists to develop, launch, and scale AI-driven solutions. Your role is pivotal in ensuring that AI technologies align with user needs and business objectives.

Please note that this post serves the purpose of enhancing our talent pool while we prepare to launch the official job. As soon as it gets posted we will get in touch with you.

Responsibilities

  • Define and drive the AI product roadmap, ensuring alignment with business objectives and user needs.

  • Collaborate with cross-functional teams, including engineering, design, and marketing, to develop and launch AI-powered features.

  • Conduct market research and analyze user feedback to identify opportunities for AI integration.

  • Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact.

  • Define key performance indicators (KPIs) to measure success and iterate based on data-driven insights.

  • Stay up to date with AI trends, emerging technologies, and best practices to ensure our products remain competitive.

  • Ensure ethical AI usage and compliance with data privacy regulations.

Requirements

  • Around 4+ years of experience in product management, preferably in AI, machine learning, or data-driven applications.

  • Strong understanding of AI/ML concepts, including NLP, computer vision, and recommendation systems.

  • Experience working with data science and engineering teams to develop AI-based features.

  • Ability to translate complex AI concepts into user-friendly applications.

  • Strong analytical skills and experience leveraging data to drive product decisions.

What benefits are we offering?

  • Apple hardware ecosystem for work.

  • Annual Bonus.

  • Medical Insurance (including vision & dental).

  • Disability insurance - short and long-term.

  • 401k up to 4% contribution.

  • Air Conference – an opportunity to meet the team, collaborate, and grow together.

  • Transportation budget

  • Free meals at the hub

  • Gym membership

Diversity & Inclusion

At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.

Application Disclaimer

At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

Important Notice

Air Apps does not partner with nor is represented by any recruiting agencies, staffing firms, or third-party recruiters in connection with our hiring efforts. All legitimate communication regarding Air Apps opportunities will come exclusively from an official @airapps.com email address. Additionally, all open positions are published only through our official careers platform, Ashby.
If you are contacted by anyone claiming to represent Air Apps from a different email domain, through a recruiting agency, or via a job posting source other than Ashby, please exercise caution. We do not accept unsolicited candidate submissions from agencies, and any such submissions will not be considered.

Source: Air Apps on Ashby · View original posting (opens in new tab)

This range next to 6 other live Air Apps roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Air Apps roles with the nearest advertised base floor
RolePublished base
AI Product Manager (this listing)$120K - $170K
Site Reliability Engineer (SRE)$116K - $200K
Release Engineer$113K - $201K
Data Engineer$111K - $196K
User Acquisition Specialist$110K - $190K
Security Engineer$110K - $193K
DevOps Engineer Backend$109K - $194K

Same $100K to $400K scale as every card. All Air Apps roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2025-02-25
Where this pay comes from

Location as the employer wrote it: San Francisco

USD 120,000 – 170,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.