Newfold Digital Logo

Newfold Digital

Principal Product Manager, Agentic Experiences

Posted 4 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
150K-190K Annually
Expert/Leader
Remote
Hiring Remotely in United States
150K-190K Annually
Expert/Leader
Own the connective layer that makes a portfolio of product agents behave as a single coherent experience. Define agent discovery, invocation, hand-off, accountability, and shared primitives (identity, context, memory, routing, guardrails). Set interface strategy across portal, APIs, MCP, and connectors; establish standards, metrics, and a multi-quarter roadmap; align cross-functional teams to ship measurable agentic journeys.
The summary above was generated by AI

Who We Are

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.

We are entering the agentic era. Our customers — small business owners and the professionals who serve them — will increasingly get work done by delegating to agents rather than clicking through screens. Across the company we are building a growing portfolio of business and product agents: agents that build and optimize websites, agents that market, agents that support and retain, agents that sell, agents that manage the account. Individually they are powerful. Stitched together, they become the product. 

That stitching is this role. 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. 

Who you are & what you’ll need to succeed.

  • 10+ years in product management, including significant time on platform, API, or ecosystem products, and time on customer-facing experiences. You have shipped both. 

  • 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. You can 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. You do not need to write the code; you do need to know what you're asking for. 

  • API and platform product judgment. You understand what makes an interface a good contract, and you have opinions about versioning, permissions, and developer experience. 

  • Systems thinker, experience-obsessed. You naturally see the seams between products — and you care, viscerally, when a customer hits one. 

  • Exceptional influence without authority. You can align senior stakeholders across a matrixed, product-led organization, and drive convergence on standards teams actually adopt. 

  • Strong written communication. You write the doc that makes twelve teams agree. 

  • Bias to ship. You'd rather land a real, narrow agentic journey end-to-end this quarter than a perfect framework next year. 

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.

What Success Looks Like:

  • First 90 days — a shared, agreed map of every agent in flight across the business; a documented target-state agent experience architecture; one prioritized customer journey selected for end-to-end stitching. 

  • Six months — that journey shipped across at least two interfaces (portal plus API or MCP), with a live measurement framework and adopted interaction standards. 

  • Twelve months — a functioning connective layer other teams build on by default, measurable improvement in task success and time-to-value, and a credible external agent story for partners and third-party platforms. 

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. 

#LI-SM1 #LI-Remote #Bluehost

Employment with Newfold Digital is at-will and nothing in this Job Description should be interpreted or construed to alter the at-will employment relationship.

This Job Description includes the essential job functions required to perform the job described above, as well as additional duties and responsibilities. This Job Description is not an exhaustive list of all functions that the employee performing this job may be required to perform. The Company reserves the right to revise the Job Description at any time, and to require the employee to perform functions in addition to those listed above.

Similar Jobs

3 Hours Ago
Remote or Hybrid
45K-75K Annually
Junior
45K-75K Annually
Junior
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound/warm insurance sales leads, consult customers on coverage, and close policies. Participate in paid remote training and obtain Property & Casualty license. Work scheduled shifts (including one weekend day), meet W@H technical requirements, and use provided equipment to achieve sales targets and performance goals.
Top Skills: Dsl)FiberHigh-Speed Wired Internet (CablePc
3 Hours Ago
In-Office or Remote
123K-193K Annually
Mid level
123K-193K Annually
Mid level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Drive adoption of Atlassian's AI platform (Rovo) by discovering high-impact use cases, co-designing and building custom agents, configuring connectors, and deploying solutions to production. Run workshops, enable customers, collaborate with account and product teams, and measure adoption outcomes to expand AI use across enterprise workflows.
Top Skills: Ai PlatformsConfluenceGitGoogle DriveJIRARovoRovo StudioSharepointSlack
3 Hours Ago
In-Office or Remote
139K-219K Annually
Senior level
139K-219K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and maintain ETL/ELT pipelines to move product data into analytics-ready stores (Postgres, data lake, warehouse). Design and optimize data models, ensure data quality and documentation, support ad-hoc research requests, and collaborate with research and engineering teams to enable reproducible analytics.
Top Skills: Analytics WarehouseData LakeEltETLJsonbPostgresSQL

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account