Hello Patient

Product Manager

• Own and prioritize product roadmaps across multiple product areas and engineering pods.
• Balance competing stakeholder requests while maintaining a holistic view of company priorities and long-term product direction.
• Drive product decisions through data, customer insights, business impact, and strong product judgment.
• Lead customer discovery efforts, including regular onsite visits and customer feedback.
• Partner closely with customers to uncover workflow opportunities and identify high-impact product investments.
• Translate customer feedback and business requirements into clear product specifications and PRDs that engineering teams can execute on.
• Act as the primary bridge between executive leadership, engineering, and product stakeholders.
• Partner with engineering leads to ensure clarity on priorities, tradeoffs, and success metrics.
• Build and improve product processes that enable the company to scale efficiently.

Head of Product

Business Development Rep

• Build and manage outbound prospecting campaigns across email, phone, and LinkedIn.
• Identify and engage healthcare decision-makers at clinics, specialty groups, and healthcare networks.
• Generate qualified meetings and sales opportunities for the Account Executive team.
• Respond to and qualify inbound leads from marketing campaigns, events, referrals, and website inquiries.
• Conduct discovery conversations to understand prospect workflows, challenges, and business goals.
• Ensure smooth handoffs by documenting key insights and next steps within the CRM.
• Maintain accurate pipeline and activity tracking within CRM systems.
• Partner with sales leadership to test messaging, improve outreach strategies, and refine qualification processes.
• Share market feedback, competitive insights, and prospect objections to strengthen our go-to-market motion.

Business Development Representative

Research Engineer

• Design structured experiments with real controls and statistical rigor
• Build regression test coverage to know when a global prompt change is breaking things across workflows
• Create a pipeline of validated, high-confidence improvements for engineering
• Work with the team to prioritize what gets shipped based on experiment results
• Own prompt design across Mia's agent workflows
• Stay current on prompting research, bring back ideas worth testing
• Prototype new approaches locally
• Collaborate with Product and Engineering teams
• Translate experiment results into clear recommendations
• Build out evaluation templates and frameworks

AI Research Engineer

• Design structured experiments with real controls and statistical rigor
• Build regression test coverage so we know when a global prompt change is breaking things across workflows we didn't expect
• Create a pipeline of validated, high-confidence improvements engineering can pull from instead of building on faith
• Work with the team to prioritize what actually gets shipped based on what the experiments say
• Own prompt design across Mia's agent workflows - multi-turn, voice-first, healthcare context
• Stay current on what's coming out in prompting research, and agent architecture, and bring back ideas worth testing
• Prototype new approaches locally before anything touches production
• Be the person the Product team comes to when they're stuck on a prompting problem
• Work closely with our Product and Engineering teams - understand where Mia is struggling and help decide what's worth experimenting on
• Translate experiment results into clear recommendations people can actually act on
• Build out evaluation templates and frameworks so this doesn't live only in your head

Prompting & AI Agent Research Engineer

Account Executive

• Own the full sales cycle from prospecting through close.
• Lead structured discovery, tailored demos, pricing discussions, and negotiations.
• Navigate multi-stakeholder buying groups across operations, finance, and executive leadership.
• Build and execute outbound strategies to break into target healthcare organizations nationwide.
• Develop account penetration plans for multi-location groups.
• Generate pipeline through a combination of outbound, referrals, and strategic prospecting.
• Move deals from pilot entry points to large-scale enterprise expansions.
• Identify expansion opportunities within existing accounts.
• Build trusted relationships that unlock long-term growth.
• Manage pipeline and forecasting in HubSpot with discipline and accuracy.
• Consistently exceed revenue goals in a commission-driven environment.
• Partner closely with Sales Leadership, Product, and Implementation.
• Share customer feedback and competitive insights to influence positioning and roadmap.
• Contribute to building repeatable sales processes as we scale.
• Operate with autonomy and adaptability in an evolving startup environment.

Enterprise Account Executive

• Own customer deployments end-to-end
• Lead delivery of net-new AI agent deployments as the single accountable owner—from customer requirements through production go-live
• Treat every deployment as a product launch: define scope, manage tradeoffs, hit timelines, ensure quality
• Own the customer-facing roadmap for each deployment—what are we shipping, in what order, and why
• Gather requirements directly from customers and translate them into agent behavior yourself using our internal platform—prompts, tools, guardrails, multi-agent workflows
• Do hands-on prompt engineering using AI tools to build the components that make agents work: conversation flows, decision logic, edge case handling, integration behaviors
• Ship production-ready agents that handle real healthcare complexity: scheduling logic, patient context, EMR data, practice-specific edge cases
• Continuously improve agent performance using structured evals, live call review, and direct customer feedback
• Lead deployments for new workflows, integrations, and verticals where no playbook exists
• Identify unknowns early, derisk them, and make tradeoff decisions that keep launches on track
• When deployments require net-new platform capabilities, own requirements and prioritization with the engineering team
• Identify patterns across launches and codify them into playbooks
• Hand off proven patterns to implementation teams and move on to the next net-new challenge

AI Agent Product Manager

Solutions Engineer

• Develop production-quality integrations connecting Mia to EHR systems, practice management software, and data warehouses
• Build robust data pipelines using APIs, middleware, and various data exchange methods
• Create reusable integration modules to accelerate future implementations
• Handle technical configuration for new customers and resolve conflicts during deployment
• Lead technical discovery sessions with customer engineering and IT teams
• Serve as the primary technical contact for integration questions and incident resolution
• Translate clinical and business workflows into clear technical specs
• Provide Tier 2/3 support for production environments
• Create and maintain technical documentation, integration playbooks, and training materials
• Identify opportunities to improve and automate integration processes over time

Customer Integration Engineer

• Own customer deployments end-to-end
• Treat every deployment as a product launch: define scope, manage tradeoffs, hit timelines, ensure quality
• Own the customer-facing roadmap for each deployment—what are we shipping, in what order, and why
• Gather requirements directly from customers and translate them into agent behavior yourself using our internal platform
• Do hands-on prompt engineering using AI tools to build the components that make agents work
• Ship production-ready agents that handle real healthcare complexity
• Continuously improve agent performance using structured evals, live call review, and direct customer feedback
• Identify patterns across launches and codify them into playbooks
• Hand off proven patterns to implementation teams and move on to the next net-new challenge.

AI Research Engineer – Prompting

Designer

• Design AI Behavior in Real Conversations: Define how agents respond across real-world scenarios (frustration, urgency, confusion, resistance)
• Improve Performance & Outcomes: Analyze real interaction data to identify failure points, drop-offs, and opportunities to improve outcomes.
• Own Inbound Requests & Prioritization: Own or help manage the intake and prioritization of conversational issues coming from QA and customer-facing teams.
• Build & Refine Prompting Systems: Write, test, and improve structured prompts that shape agent behavior, reasoning, and tone.
• Raise the Standard: Review conversational work and identify where approaches need to be strengthened.

Senior Conversational Designer

• Define how agents respond across real-world scenarios (frustration, urgency, confusion, resistance)
• Design conversations that balance empathy, efficiency, and task completion
• Help agents establish trust fast and guide users toward successful outcomes
• Analyze real interaction data to identify failure points, drop-offs, and opportunities to improve outcomes
• Optimize for containment rate, task completion, and patient experience
• Iterate quickly based on production metrics, QA feedback, and qualitative conversation review
• Own or help manage the intake and prioritization of conversational issues coming from QA and customer-facing teams
• Triage and prioritize live conversational issues across customers, balancing urgency, effort, and business impact
• Move fluidly across multiple customer environments, diagnosing failures and driving fixes in production
• Define what “high / medium / low priority” means for conversational issues
• Write, test, and improve structured prompts that shape agent behavior, reasoning, and tone
• Partner with Product and Engineering to translate conversational logic into production systems
• Develop reusable patterns and frameworks that scale across conversation types and use cases
• Review conversational work and identify where approaches need to be strengthened
• Partner closely with QA to improve issue reporting, debugging workflows, and signal quality
• Identify patterns across conversations and translate them into clear fixes
• Help build standards, documentation, and training materials that improve team quality over time