Anywhere, Inc

AI Product Manager

Anywhere, Inc$150K — $170K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field, Master's preferred
  • 4+ years of product management experience in enterprise software with a focus on AI
  • 1+ year of PM experience specific to Generative AI, Agentic AI, or Large Language Models
  • Proven experience launching technical products from concept to market
  • Strong grasp of Agentic AI, Generative AI, and AI evaluation methodologies
  • Hands-on experience prototyping emerging AI technologies
  • Experience collaborating across engineering, UX, sales, and marketing teams.

Responsibilities

  • Own the entire product lifecycle from concept to launch
  • Define roadmap for AI computer-use capabilities and agent harnesses
  • Engage directly with customers to validate needs and gather feedback
  • Collaborate with engineering and UX to deliver high-quality products
  • Create clear product specifications and narratives for stakeholders
  • Utilize data to set success metrics and track product performance
  • Stay informed on AI trends to inform product strategy
  • Work with marketing and sales for go-to-market success.

Benefits

  • Flexible work schedule with remote options
  • Unlimited Personal Time Off
  • 12 paid holidays per year
  • 4 days of volunteer time off
  • Eligible for 4 company Achievement days off annually
  • Comprehensive health care and well-being benefits
  • Paid family and parental leave
  • Recognized as a 'Best Place to Work' and ranked in Newsweek's Top 100 Most Loved Workplaces.
Full Job Description
Our opportunity:

We are looking for a Product Manager ready to shape the next generation of agentic AI within our Agentic Process Automation (APA) platform. This is a hands-on, high-impact role at the frontier of enterprise automation - spanning computer-use agents and emerging agent harnesses that are redefining how work gets done at scale.

You'll translate fast-moving AI capabilities into products that are usable, commercially valuable, and built for the enterprise. Success in this role requires strong product instincts, deep technical curiosity, and the ability to move fluidly between strategy and execution. You'll partner closely with engineering, design, research, and go-to-market teams - and spend meaningful time with customers and partners to ensure what we build solves real problems.

If you're energized by emerging AI systems, understand enterprise automation deeply, and thrive at the intersection of product strategy, customer discovery, and technical execution - this role was built for you.

Who you'll report to:

This role will report to the Sr. Director, Product Management

Location:

Hybrid role with regular onsite workdays in our San Jose, CA office strongly preferred. Other U.S locations may be considered.

You will make an impact by being responsible for:
  • Owning the end-to-end product lifecycle for your areas - from ideation through launch and iteration
  • Defining and executing the roadmap for computer-use capabilities and emerging agent harnesses within the broader AI platform
  • Working directly with customers, partners and prospects to uncover pain points, validate hypotheses, get feedback and build deep domain intuition
  • Partnering closely with engineering, UX, and applied AI teams to ship high-quality, technically sophisticated products in an agile environment
  • Creating clear, compelling product specs, PRDs, and narratives that align technical and non-technical stakeholders
  • Using data and evaluation frameworks to define success metrics, measure product performance and drive continuous improvement
  • Staying at the forefront of the agentic AI landscape - tracking research, trends, and emerging patterns - and bring those insights into your roadmap
  • Collaborating with sales, marketing, and solutions teams to ensure successful go-to-market execution


You will be a great fit if you have:
  • Bachelor's degree in Computer Science, Engineering, or similar technical domain. Master's degree in a technology or business-related field a plus
  • 4+ years of product management experience in enterprise software, with a meaningful focus on AI products
  • At least 1 year of hands-on experience as a PM for Generative AI, Agentic AI, or Large Language Models (LLMs)
  • Demonstrated experience taking a technical product from concept to launch (0-to-1, end-to-end
  • Background in enterprise software, automation platforms, or developer tooling
  • Strong product sense for turning complex, ambiguous problems into clear, delightful product experiences; and equally comfortable in strategic discussions and deep execution details
  • Solid understanding of Agentic AI, Generative AI, computer-use agents, agent harnesses, and AI evaluation methodologies; direct hands-on experience is a strong advantage
  • Experience prototyping with emerging AI and agent-based technologies - you've actually built things, even if scrappily
  • Proven track record of working effectively across engineering, UX, sales, and marketing to get details distributed


You excel in these key competencies:
  • Exceptional written and verbal communication skills, with the ability to tailor your message for both technical and non-technical audience.
  • Analytical mindset with experience using data, metrics, and eval frameworks to guide product decisions and define success.
  • Comfortable engaging directly with customers and executives in high-stakes, fast-moving environments.
  • Highly curious, fast learner, and relentlessly biased toward execution and iteration.


The base salary range for this position is $150,000 - $170,000 a year. The base salary ultimately offered is determined through a review of education, industry experience, training, knowledge, skills, abilities of the applicant in alignment with market data and other factors. This position is also eligible for a discretionary bonus, equity and a full range of medical and other benefits.

Ready to Revolutionize Work? Join Us.

This is an opportunity to work with a global, passionate team pioneering technology that's redefining the way people work, everywhere. Join us and discover the many ways that you can have an impact, achieve your potential, and go be great.

Job Segment OR Key Words: Product Management, Generative AI, Agentic AI, LLM, Automation, APA, Agentic Process Automation

#LI-JS1

Benefits and perks you'll appreciate:
  • Flexible work schedule / remote roles
  • Unlimited Personal Time Off
  • 12 holidays off per year
  • 4 days volunteer time off per year
  • Eligible for 4 company Achievement days off per year
  • Variety of health care and well-being benefits
  • Paid family/parental leave
  • We are a designated "Best Place to Work" for 2 years in a row! Learn more here
  • Newsweek's Top 100 Most Loved Workplaces in America 2023 - Learn more here

About Anywhere, Inc

Anywhere Real Estate Inc., formerly Realogy, is an American publicly owned real estate services company. It owns and franchises several real estate brands and brokerages, and offers relocation, lead generation, title, and settlement services.:?5–6 In 2005, Cendant split off all but its car rental interests into separate companies. Realogy was formed to group its real estate activities; shares in the new company were distributed to existing Cendant shareholders. In late 2006, it was bought for $6.65 billion, plus debt and other liabilities, by Apollo Global Management, a private equity group. The company was listed on the New York Stock Exchange in 2012; 40 million shares were sold at $27 each, raising US$1.08 billion. In 2013, the company moved its head office from Parsippany-Troy Hills, New Jersey to Madison, New Jersey. Ryan Schneider succeeded Richard A. Smith as chief executive officer in 2017. In May 2022, Realogy announced that the company would be changing its name from Realogy Holdings Corp. to Anywhere Real Estate Inc. It went into effect on 9 June 2022.
Learn more about Anywhere, Inc
Size
5,000 employees
Industry
Founded
2003

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