Product Manager (Applied AI)

Housecall Pro

9d•$141,680 - $222,000•Remote

About The Position

Housecall Pro is hiring Applied AI Product Managers, with opportunities ranging from Senior to Principal level. Final title and leveling are determined through the interview process based on a candidate’s skills, experience, and demonstrated impact. The Product Manager, Applied AI shapes how home service professionals use artificial intelligence to get meaningful work done. The role owns intuitive, reliable AI-powered experiences that simplify complex workflows and help Pros run their businesses more effectively. Work spans conversational AI, intelligent agents, and shared capabilities that connect AI to real-world business tasks. This individual contributor role combines product judgment, technical fluency, and hands-on execution. The Product Manager takes ideas from customer problem discovery through prototyping, product launch, and measurement. The role collaborates across product domains and partners closely with Product, Engineering, and Design to create cohesive AI experiences, balancing reusable capabilities with different businesses’ needs, preferences, and workflows. Depending on experience and expertise, the role can also influence broader product direction and organizational impact. Housecall Pro helps home service professionals streamline their businesses with tools for scheduling, dispatching, payments, and more. The company supports more than 50,000 businesses and has over 2,000 teammates across the globe. This role is open to candidates in locations not specified in the posting; the expected salary depends on level. The position is also eligible for equity and company benefits.

Requirements

Experience owning and delivering complex, customer-facing software products from discovery through launch and continuous improvement.
Demonstrated experience developing and shipping AI-powered products, including conversational AI, AI agents, workflow automation, or similarly complex AI applications.
Hands-on experience developing functional prototypes or translating technical concepts into working product experiences, and ability to collaborate closely with Engineering on integrations and technical tradeoffs.
Understanding of large language models (LLMs), including their capabilities, limitations, behavior design, evaluation methods, and practical applications.
Experience developing configurable products or reusable capabilities for diverse customer needs, business rules, permissions, and workflows.
Experience influencing cross-functional product decisions, aligning stakeholders, and translating customer insights and product data into measurable business outcomes.
Knowledge of product strategy, agile development methodologies, user experience (UX) best practices, and data-driven product decision-making.
Experience leveraging AI tools and automation to improve workflows, execution efficiency, product quality, or team outcomes.
Bachelor’s degree in a related field or equivalent work experience.

Nice To Haves

Strong product judgment balancing customer needs, technical feasibility, and business impact.
A hands-on, experimental approach to problem-solving, including prototyping, testing ideas, and continuously refining solutions.
Ability to influence and align cross-functional teams without direct authority and navigate competing priorities and complex organizational dependencies.
Strong communication and stakeholder management skills, including translating complex technical concepts into clear product decisions and priorities.
Strong interaction design instincts and a passion for intuitive, transparent, and trustworthy AI experiences.
Intellectual curiosity and enthusiasm for exploring emerging AI technologies and translating new capabilities into meaningful customer value.
A multi-dimensional background demonstrated through cross-functional interests, self-directed exploration, or depth of specialized mastery.
Personal resilience to learn from scratch, adapt to changing priorities, and thrive in ambiguity.

Responsibilities

Define and influence product direction and priorities for applied AI experiences using Pro workflows, customer research, product insights, emerging AI capabilities, and business goals.
Own AI-powered product experiences from discovery and prototyping through launch, measurement, and continuous improvement.
Design experiences across conversational interfaces, intelligent agents, workflow logic, tools, and integrations in partnership with Engineering and Design.
Create working prototypes and contribute directly to product implementation when appropriate to validate ideas and accelerate execution.
Develop reusable AI capabilities that adapt to different business contexts, preferences, permissions, and workflows while preserving consistent, intuitive user experiences.
Partner with Product Managers and domain teams to translate domain-specific workflows and agent capabilities into cohesive conversational and AI-powered experiences, establishing alignment and clear ownership.
Establish intuitive and trustworthy AI interactions, including context management, appropriate autonomy, user confirmations, transparent actions, human handoffs, and recovery from errors or uncertainty.
Collaborate with Engineering and domain teams on product requirements and quality standards for AI behavior, evaluations, reliability, latency, cost, and safety, while supporting accountability for domain-specific outcomes.
Measure product effectiveness through customer adoption, task completion, interaction quality, workflow efficiency, and business impact, and use quantitative and qualitative insights to guide improvements.
Evaluate emerging AI models, technologies, and product patterns for opportunities to improve the Pro experience, and share expertise to influence product practices and decisions across teams.