We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.
We are seeking a People Operations Program Manager who brings strong program management and stakeholder management skills to our team. This is an operations-focused role for someone who views the employee lifecycle as an interconnected program that requires structured, systematic execution. The right candidate is a trusted operator who can consistently demonstrate what excellent people program management looks like in practice.
At Applied Intuition, you will:- Manage and optimize the complete employee lifecycle from onboarding through offboarding, treating each stage as part of a cohesive program
- Build and maintain documentation systems, process workflows, and program frameworks that scale with the company's growth
- Design, implement, and scale employee programs that ensure consistent, high-quality experiences across teams and locations
- Own HR policy development, interpretation, and compliance, including labor and employment law requirements that impact day-to-day operations
- Partner cross-functionally with Legal, Finance, internal applications and Engineering teams to ensure people programs align with business objectives and regulatory requirements
- Analyze people operations data and metrics to identify trends, pain points, and opportunities for program improvements
- 5+ years of experience in people operations, HR generalist, or people program management roles with demonstrated stakeholder management experience
- Strong program management background with ability to design and optimize processes, integrate feedback, and communicate outcomes across all levels
- Solid understanding of HR policies, labor and employment law, and compliance requirements
- Strong analytical mindset with experience using data to drive program improvements and decision-making
- Proven track record of building scalable processes and documentation that support organizational growth
- Bachelor's degree
- Experience in high-growth technology companies, particularly in automotive or autonomous vehicle industries
- Direct involvement in scaling startups from early-stage to larger organizational structures.
- Experience with HRIS systems and people analytics tools
- Background in change management or organizational development
- Experience working with large datasets
Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.
Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.
Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $115,000 - $183,000 USD annually.
Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.
Applied Intuition Sunnyvale, California, USA Office
157 S Murphy Ave, Sunnyvale, CA, United States
Applied Intuition Mountain View, California, USA Office
82 Pioneer Way, Mountain View, United States, 94041
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
