Senior Product Solutions Lead

PatientPoint • Tampa, FL

1d • Hybrid

About The Position

Join PatientPoint to be part of a dynamic team creating change in and around the doctor’s office. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide.
Senior Product Solutions Lead
It is an exciting time to be part of the PatientPoint team! As the clear leader in the point-of-care industry, we offer an ideal, people-focused place to innovate, positively impact patient education and doctor-patient connections, and be inspired to build a great career.
The Senior Product Solutions Lead on the Enterprise AI and Automation team owns problems end-to-end: discovering what needs to be solved, designing how it should work, and building the solution. This is not a traditional product management role. You will not spend your time writing requirements documents for other people to build. You are the person who builds it.
You will intake requests from across the organization, dig into the underlying problem (whether that takes two minutes or two weeks), design the user experience, and deliver working solutions using low-code platforms and AI-assisted development tools. Some days you are mapping out a business process to figure out what actually needs to change. Other days you are building an internal application, designing a workflow, or wiring together systems. The work spans automation, internal tooling, data analysis, and process improvement.
You thrive with autonomy. You are comfortable navigating ambiguity, making decisions with incomplete information, and delivering results without heavy oversight. You want to solve real problems, not manage backlogs.

Requirements

• 8+ years of experience in roles that combined problem-solving, process improvement, and hands-on solution delivery. The specific title does not matter; the experience does.
• End-to-end ownership mindset. You have repeatedly taken ambiguous problems and turned them into working solutions without waiting for someone else to define the requirements, design the UX, or build the thing.
• Strong discovery and analytical skills. You can dig into a business process, identify where it breaks down, analyze data to understand the real problem, and articulate what needs to change.
• Hands-on building experience with low-code platforms (e.g., Retool, n8n, or similar). You have built real tools that real people use, not just prototypes.
• UX and design thinking. You can create wireframes, map user flows, and design interfaces that are clear and functional. You think about the end user, not just the technical implementation.
• Comfort with AI-assisted development. You use tools like Claude Code, Cursor, or Copilot to extend what you can build. You do not need to be a traditional developer, but you can leverage AI tools to ship standalone applications when low-code platforms are not the right fit.
• SQL and data fluency. You understand how databases work and can explore data in tools like Snowflake. You do not need to write complex SQL from scratch, but you should be comfortable using AI tools to generate and refine queries, interpret the results, and pull your own insights without relying on a data team.
• Strong communication skills. You can present findings and recommendations to senior leaders, translate technical work into business terms, and write clearly.
• Extreme autonomy. You do not wait to be told what to do. You identify problems, propose solutions, and execute. You ask for input when the stakes are high, not when you are stuck on a routine decision.
• Resourcefulness. You figure things out. When you do not know how to do something, you learn, experiment, or find someone who does. You do not stall.
• Range. Some days you are a designer. Some days you are a builder. Some days you are an analyst. You are comfortable shifting between modes and don't see rigid role boundaries.
• Bias toward action. You would rather ship something imperfect and iterate than spend weeks perfecting a plan. You know when 'good enough' is the right answer.
• Genuine curiosity. You are interested in how things work, why processes exist, and what could be better. You are energized by variety, not overwhelmed by it.
• Sound judgment. You know when to move fast and when to slow down. You can tell the difference between a two-hour fix and a project that needs real discovery.
• Willingness to teach. You are comfortable being the person people come to with AI questions, and you can explain what these tools can and cannot do without overselling or gatekeeping.

Nice To Haves

• Experience with Figma or similar design tools for wireframing and prototyping.
• Familiarity with process mapping tools and methodologies (e.g., Lucidchart, Miro, BPMN).
• Experience with CRM platforms (e.g., Salesforce). Not a requirement, but you will likely find yourself working in one regularly.
• Background in business process automation or operations consulting.
• Experience with project management tools like Jira or GitHub Issues.
• Exposure to data pipelines, integrations, or API-based workflows.
• Background at a small company or early-stage startup where you wore multiple hats and owned outcomes, not just tasks. This team operates like a startup inside a larger organization, and people who have only worked in large, highly specialized environments where every function is siloed tend to struggle here.
• Familiarity with JavaScript or Python (enough to read, modify, and extend code with AI assistance, not enough to architect a platform).

Responsibilities

• Independently take projects from discovery through design through delivery. Identify the real problem, scope the solution, build it, and ship it.
• Intake and triage project requests from stakeholders across the organization. Determine what is worth solving and how to approach it.
• Conduct discovery work ranging from quick assessments to deeper dives: process mapping, data analysis, stakeholder interviews, and workflow documentation.
• Design user experiences and interfaces for internal tools and applications. Create wireframes, user flows, and prototypes that unblock engineering and clarify what needs to be built.
• Build solutions using low-code platforms, AI-assisted development tools (e.g., Claude Code), and lightweight custom applications. You do not need to be a software engineer, but you need to be able to ship working software.
• Identify automation opportunities across the business. Evaluate which processes are worth automating, design the target state, and build or oversee the implementation.
• Translate between business stakeholders and technical teams. Make complex technical concepts accessible and ensure business context is not lost in implementation.
• Manage your own portfolio of projects, balancing priorities and communicating status without needing to be managed closely.
• Serve as an AI resource for the broader organization. Field questions about AI tools and best practices, run occasional demos or training sessions, and help teams understand what is practical and what is not.
• Collaborate with the Enterprise AI and Automation team and broader engineering organization to hand off or scale solutions that outgrow their initial scope.

Benefits

• flexible time off to recharge
• hybrid work options
• mental and emotional wellness resources
• a 401K plan

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed