Principal Product Manager, Agentic Experiences

Role Description

The Principal PM, Agentic Experiences owns the connective layer — how a fleet of independently-built agents shows up to the customer as one coherent, trustworthy, frictionless experience, across every interface we expose: the customer portal, our APIs, MCP servers, and third-party connectors and channels. This is a highly cross-functional, high-visibility individual contributor role for someone who thinks in systems, has strong product taste, and can operate in a product-led organization where influence matters more than reporting lines.

What you’ll do & how you’ll make your mark:

• The agent experience architecture:
  • Define the end-to-end model for how agents are discovered, invoked, handed off between, and held accountable to the customer.
  • Own the shared primitives — identity and permissions, context and memory, intent routing, hand-off and escalation, human-in-the-loop approval, transparency and traceability, guardrails and fallback.
• Connecting the dots to the customer:
  • Translate a portfolio of internally-owned agents into a single customer narrative: what the customer can ask for, what happens when they do, how they know it worked, and what it costs.
  • Own the customer journey across agents, not just the agents.
• The interface surface strategy:
  • Set the strategy for how agentic capability is exposed across:
    • Portal — conversational and ambient agent surfaces inside the logged-in experience, alongside and eventually in place of traditional navigation.
    • APIs — clean, agent-consumable contracts over our commerce, hosting, domains, and account systems.
    • MCP — our capabilities as tools that both our own agents and external agents (Claude, ChatGPT, IDEs, partner platforms) can call safely.
    • Connectors & channels — bringing our agents to where the customer already works, and bringing their tools into ours.
• Standards and the operating model:
  • Establish the shared patterns, quality bars, and interaction standards that let a dozen teams ship agents independently without fragmenting the experience.
  • Define what "good" looks like — latency, accuracy, containment, escalation, tone, disclosure — and the review mechanism that holds it.
• Measurement:
  • Define the metric framework for agentic experience: task success and completion rate, hand-off and containment, time-to-value, trust and intervention rates, and the downstream commercial impact on conversion, attach, and retention.
• Roadmap and influence:
  • Build the multi-quarter roadmap for the connective layer, and drive alignment across product, engineering, data, design, care, and marketing to sequence it.
  • Partner especially closely with Data & Personalization — agents are only as good as the context and signals they act on.

Qualifications

• 10+ years in product management, including significant time on platform, API, or ecosystem products, and time on customer-facing experiences.
• Demonstrated ownership of an AI or agentic product surface — assistants, copilots, automation, orchestration, or tool-calling systems in production, with real users and real accountability for outcomes.
• Deep technical fluency — able to hold a credible design conversation about LLM orchestration, tool and function calling, MCP, RAG and context strategy, evals, latency and cost trade-offs, and where the failure modes live.
• API and platform product judgment — understanding what makes an interface a good contract, with opinions about versioning, permissions, and developer experience.
• Systems thinker, experience-obsessed — naturally sees the seams between products and cares when a customer hits one.
• Exceptional influence without authority — able to align senior stakeholders across a matrixed, product-led organization.
• Strong written communication — able to write the documentation that makes twelve teams agree.
• Bias to ship — prefers to land a real, narrow agentic journey end-to-end this quarter rather than a perfect framework next year.

Requirements

• Nice to have: experience in hosting, domains, web presence, SMB SaaS, or e-commerce.
• Experience with agent evaluation and observability tooling.
• Experience building or publishing MCP servers or public developer platforms.

Benefits

• The target compensation range for this position is $150,000 to $190,000 annually.
• Individual salaries are determined by various factors including, but not limited to: candidate’s qualifications, such as skills, education, and experience, as well as internal equity and market conditions.

Company Description

At Bluehost, we believe all small businesses deserve the opportunity to succeed online. Our mission is to give small businesses the confidence to think big. We're the all-in-one platform for small businesses to grow online with powerful simplicity, premium performance, smart tools and human support.