AI Deployment Lead
About the Role
We’re hiring an AI Deployment Lead to own one of the most important moments in the customer journey: a customer’s first operational experience with SuperDial.
This role owns trial execution from customer and use-case intake through results delivery and handoff into deployment. You’ll work closely with Sales, Customer Success, Product, Engineering, Quality, and Agent Operations to ensure trials are clearly scoped, operationally sound, measured accurately, and translated into insights that help customers and internal teams make confident decisions.
This is not a coordination role. We’re looking for a strong operator who can bring structure to ambiguity, diagnose what is driving performance, and build repeatable systems that make trial operations more consistent, measurable, and scalable.
This role will report to the Director of Agent Operations and is based in New York, NY with a hybrid in-office model.
What You’ll Own
Customer Use-Case Translation
Partner with Sales and Customer Success to understand each customer’s workflow, use case, success criteria, constraints, and decision-making context.
Translate ambiguous customer needs into clear operational requirements, workflows, scripts, inputs, quality expectations, and success metrics.
Identify risks early, including unclear scope, poor input quality, workflow complexity, missing context, AI performance gaps, or operational execution issues.
Performance, Metrics, and Commercial Insight
Track and improve key trial metrics, including batch completion rate, trial success rate, turnaround time, quality outcomes, and readiness for deployment.
Use data and operational judgment to understand what is driving performance.
Distinguish between one-off execution misses and deeper systemic issues across inputs, workflow design, scripting, AI behavior, tooling, quality review, or process.
Surface crisp, commercially relevant insights that inform customer conversations, expansion opportunities, deployment readiness, and internal prioritization.
Cross-Functional Execution
Partner with Agent Operations, Product, Engineering, Quality, Customer Success, and Sales to resolve issues that impact trial performance.
Drive corrective actions across workflows, scripts, inputs, quality review, tooling, automation behavior, and operating processes.
Escalate thoughtfully and ensure the right owners have the right context to act.
Ensure customer context, trial learnings, scripts, workflow nuances, quality issues, and operational decisions are clearly handed off to the deployment operator or steady-state owner.
Operating System and AI-Enabled Workflow Buildout
Create and improve trial playbooks, intake templates, operating cadences, dashboards, runbooks, escalation paths, and handoff processes.
Use AI tools, automation, and structured workflows to reduce manual effort, improve consistency, and make trial operations more scalable.
Turn recurring pain points into repeatable systems, templates, prompts, workflows, or tooling improvements.
Partner with Product, Engineering, and Agent Operations to understand where AI behavior, workflow logic, tooling, or input quality is affecting trial performance.
What Success Looks Like
First 30 Days
You understand SuperDial’s trial motion, customer use cases, workflow types, internal handoffs, and current operating pain points.
You have built strong working relationships with Agent Operations, Sales, Customer Success, Product, Engineering, and Quality.
You understand how trial performance is measured today and where visibility, consistency, or ownership needs to improve.
First 60 Days
You are independently managing trial execution for a meaningful portion of the sales pipeline.
Trial intake, tracking, quality review, and stakeholder communication are more structured and consistent.
You are identifying recurring operational issues and turning them into better processes, templates, metrics, handoffs, and AI-enabled workflows.
First 90 Days
You are owning trial operations across Sales with limited dependency on others.
Trial health is measured through clear operating metrics, including batch completion rate, trial success rate, turnaround time, quality outcomes, and readiness for deployment.
Sales and Customer Success have clearer, more actionable trial results to use in customer conversations.
Handoffs from trial into deployment are cleaner, with less lost context and fewer preventable execution gaps.
The trial operations motion is becoming more repeatable, scalable, and insight-driven.
Who You Are
You are a high-ownership operator who enjoys turning ambiguity into structure.
You are not an order taker; you clarify the problem, build the plan, drive execution, and communicate progress.
You make strong decisions with imperfect information and know when to solve, escalate, or bring others in.
You are structured, metrics-oriented, and comfortable managing multiple moving pieces without losing sight of outcomes.
You can diagnose performance issues, identify root causes, and separate symptoms from systemic problems.
You communicate clearly and can translate operational detail into customer, commercial, and leadership-ready context.
You build trust across functions and work effectively with Sales, Customer Success, Product, Engineering, Quality, and Operations.
You are comfortable using AI tools and automation to improve how work gets done.
You raise the quality bar while keeping the work moving.
You are excited to build systems in a high-growth environment where the playbook is still being written.
What You Bring
7+ years of relevant experience in operations, strategy and operations, product operations, implementation, technical solutions, customer operations, consulting, or another execution-heavy environment.
Experience owning complex workflows, customer deployments, internal systems, operational processes, or cross-functional initiatives end-to-end.
Experience operating in a customer-facing or commercially visible environment where quality, speed, communication, and outcomes all matter.
Strong ability to define metrics, diagnose quality or performance issues, and communicate outcomes clearly.
Demonstrated ability to work cross-functionally across Sales, Customer Success, Product, Engineering, Quality, or Operations.
Strong analytical judgment and comfort using spreadsheets, dashboards, structured analysis, or operational data to investigate problems and drive decisions.
Experience using AI tools, automation, dashboards, spreadsheets, or workflow systems to improve operational quality, speed, visibility, or repeatability.
Nice to Have
Experience in healthcare, revenue cycle management, call center operations, marketplace operations, workflow automation, or other operationally complex environments.
Experience with AI-enabled workflows, automation, QA/QC systems, workflow tooling, routing logic, or data-heavy operations.
Experience in implementation, technical customer success, product operations, pre-sales/post-sales solutioning, or consulting.
Experience in a high-growth startup or scaling environment where processes and systems are still being built.
Experience partnering with offshore teams, BPOs, vendors, or external delivery partners.
Location
This role is based in New York, NY and follows a hybrid in-office model.
Compensation & Benefits
The base salary range for this role is $165,000–$195,000, depending on experience, skill set, level, and fit. This role is also eligible for equity as part of SuperDial’s total compensation package.
SuperDial offers a competitive benefits package, including:
Health benefits
401(k) plan
Equity
Unlimited PTO
16 weeks of parental leave
Final offers are determined based on candidate experience, demonstrated capabilities, internal equity, and alignment with SuperDial’s leveling framework.
Enterprise Account Executive
About the Role
Following a recent Series B and 4x year-over-year growth, we are expanding our enterprise sales team to reach more healthcare organizations that can benefit from intelligent automation.
We are hiring an Enterprise Account Executive to drive new business across multiple healthcare customer segments.
This role is designed for an adaptable enterprise seller who can move effectively across different ideal customer profiles, including provider organizations, revenue cycle companies, healthcare services businesses, and other strategic accounts.
You will own the full sales cycle, from account development and discovery through solution design, negotiation, and close. You will tailor your approach to each customer’s business model, operating environment, and buying process while helping SuperDial identify where demand is strongest and which markets are ready to scale.
This is an opportunity for someone who is energized by complexity, learns new markets quickly, and can succeed without relying on a single established sales motion.
What You’ll Do
Drive Enterprise Growth
Build and manage a high-quality pipeline across SuperDial’s priority healthcare segments
Develop account strategies based on each organization’s business model, operational priorities, and revenue cycle needs
Own the full sales process from initial engagement through contract execution
Consistently deliver against new business and revenue targets
Adapt Across Customer Profiles
Quickly learn the needs, stakeholders, and buying dynamics of different healthcare organizations
Tailor discovery, messaging, and solution narratives to each customer
Identify the most valuable automation opportunities based on the organization’s workflows and goals
Shift effectively between established customer segments and emerging market opportunities
Lead Consultative Sales Cycles
Engage executive, operational, financial, technical, and revenue cycle stakeholders
Diagnose complex business challenges and connect them to measurable outcomes
Build compelling business cases grounded in efficiency, scalability, cost savings, and revenue impact
Coordinate demonstrations, solution design, pilots, and commercial proposals
Develop Emerging Markets
Test new customer segments, use cases, and sales approaches in partnership with company leadership
Identify patterns in customer demand, deal size, sales velocity, and product fit
Share market feedback that informs positioning, product development, and go-to-market strategy
Help determine which opportunities can become repeatable and scalable sales motions
Strengthen Our Go-to-Market Approach
Partner with Sales Development and Marketing on targeted outbound and account-based strategies
Collaborate closely with Solutions, Product, and Customer Success throughout the sales process
Bring customer insights and competitive intelligence back to the broader organization
Contribute to the continued development of SuperDial’s enterprise sales playbook
What We’re Looking For
At least seven years of B2B sales experience, including success in complex enterprise environments
A strong track record selling healthcare technology, revenue cycle, workflow automation, or operational solutions
Experience selling across multiple healthcare customer segments, business models, or buyer groups
Demonstrated ability to quickly learn new markets and adapt your sales approach
Success building pipeline and closing high-value opportunities in evolving or developing territories
Confidence engaging executive leaders and building alignment across multiple stakeholders
Strong discovery, business-case development, negotiation, and presentation skills
Ability to translate technical capabilities into clear operational and financial value
Comfort operating with ambiguity, testing new approaches, and learning from market feedback
High ownership, curiosity, commercial judgment, and follow-through
What Success Looks Like
Within your first year, you will have:
Built a strong enterprise pipeline across multiple healthcare customer profiles
Closed strategic new customers that meaningfully contribute to company growth
Identified promising segments, use cases, and buying patterns that inform SuperDial’s go-to-market strategy
Developed repeatable approaches for engaging and converting new categories of customers
Established trusted relationships with senior healthcare and revenue cycle leaders
Helped SuperDial determine where to deepen investment and scale
What We Offer
The opportunity to help define new markets for a rapidly growing healthcare AI company
Meaningful ownership across a broad and evolving enterprise customer landscape
Direct exposure to company leadership and influence on go-to-market strategy
A highly collaborative team across Sales, Solutions, Product, Marketing, and Customer Success
Competitive base salary of $150,000–$200,000
Uncapped commission opportunity
Equity ownership
Comprehensive health and employee benefits
Enterprise Account Executive, MSO & DSO
SuperDial is building AI-powered automation for healthcare revenue cycle teams. Our voice AI agents manage high-volume, repetitive interactions with payers, helping healthcare organizations improve operational efficiency, accelerate revenue, and allow their teams to focus on higher-value work.
Following a recent Series B and 4x year-over-year growth, we are expanding our enterprise sales organization to deepen SuperDial’s presence across Dental Service Organizations, Management Services Organizations, and other scaled healthcare organizations.
About the Role
We are hiring an Enterprise Account Executive to own new business growth across the MSO and DSO market.
This is a newly created role for an experienced enterprise seller who understands how to navigate complex healthcare organizations, build relationships with senior decision-makers, and connect operational challenges to measurable business outcomes.
You will own the full sales cycle, from account strategy and executive outreach through discovery, solution development, negotiation, and close. You will partner closely with Sales Development, Marketing, Solutions, Product, Customer Success, and company leadership to build a durable enterprise pipeline and position SuperDial as a strategic automation partner.
What You’ll Do
Own Enterprise Growth
Build and manage a targeted pipeline of high-value MSO and DSO opportunities
Develop account strategies that reflect each organization’s structure, priorities, and revenue cycle operations
Lead the full sales process from initial engagement through contract execution
Consistently deliver against new business and revenue targets
Lead Consultative Sales Cycles
Conduct discovery with executive, operational, financial, and revenue cycle stakeholders
Translate customer challenges into compelling business cases for AI-powered automation
Articulate SuperDial’s value through operational impact, cost savings, scalability, and improved team capacity
Coordinate tailored demonstrations, solution design, pilots, and commercial proposals
Navigate Complex Organizations
Build relationships across multiple functions and levels of seniority
Identify decision-makers, champions, influencers, and potential barriers within each account
Manage procurement, legal, security, technical, and financial stakeholders throughout the sales process
Create alignment around clear customer outcomes and implementation expectations
Strengthen Our Go-to-Market Approach
Bring market insights, customer feedback, and competitive intelligence back to the organization
Partner with Marketing and Sales Development on targeted account-based strategies
Work with Product and Solutions teams to ensure customer needs are accurately represented
Contribute to the continued development of SuperDial’s enterprise sales playbook
What We’re Looking For
At least seven years of B2B sales experience, including success in complex enterprise environments
A strong track record selling healthcare technology, revenue cycle, workflow automation, or operational solutions
Experience selling into MSOs, DSOs, or similarly structured healthcare organizations
Demonstrated ability to build pipeline, manage long sales cycles, and close high-value agreements
Confidence engaging executive leaders and building consensus across multiple stakeholders
Strong discovery, business-case development, negotiation, and presentation skills
Ability to translate technical capabilities into clear operational and financial value
Comfort operating in a fast-growing company with high ownership, evolving priorities, and ambitious goals
What Success Looks Like
Within your first six months, you will have:
Built a high-quality enterprise pipeline across SuperDial’s priority MSO and DSO accounts
Established trusted relationships with senior healthcare and revenue cycle leaders
Closed strategic new customers that meaningfully contribute to company growth
Developed repeatable account strategies and sales practices that strengthen the broader team
Helped customers understand and realize the operational value of SuperDial’s technology
What We Offer
The opportunity to shape a newly created enterprise sales role at a rapidly growing healthcare AI company
Direct exposure to company leadership and meaningful influence on our go-to-market strategy
A highly collaborative team across Sales, Solutions, Product, Marketing, and Customer Success
Competitive base salary of $150,000–$200,000
Uncapped commission opportunity
Equity ownership
Comprehensive health and employee benefits
Sr. Software Engineer I
Overview
SuperDial is hiring a Senior Software Engineer I to help build the systems behind our AI-driven healthcare products. Our voice and LLM-powered solutions help healthcare organizations reduce administrative burden, improve revenue cycle workflows, and operate more efficiently at scale.
We recently closed our Series B and are entering an exciting stage of product development. Our Engineering and Product teams are building new capabilities across AI agent performance, workflow automation, customer integrations, and cloud-native infrastructure. This is a strong opportunity for an engineer who wants to work with modern technology, solve complex real-world problems, and contribute directly to the next generation of healthcare infrastructure.
About the Role
As a Senior Software Engineer I, you will be a member of the Engineering team and work closely with Product Management to turn customer needs and product goals into reliable software. You will own well-scoped engineering projects from design through delivery, contribute to technical discussions, and help ship high-quality product and platform improvements.
This role is a senior individual contributor role for someone who can operate independently, make sound implementation decisions, communicate clearly, and deliver with strong follow-through. It is not a Staff or Tech Lead role, but it requires more than task execution; we are looking for someone who brings ownership, judgment, and product awareness to their work.
What You’ll Do
Design, build, test, and maintain backend services that support AI-powered healthcare workflows.
Build scalable APIs, data systems, integrations, and platform components for SuperDial’s voice and automation products.
Partner closely with Product Management to clarify requirements, shape implementation plans, and connect technical work to customer impact.
Develop and operate backend systems in a modern, GCP-based cloud environment.
Write clean, reliable, maintainable code with attention to testing, observability, performance, and security.
Debug production issues, identify root causes, and improve system reliability and quality.
Participate in code reviews, technical discussions, and design reviews with engineering teammates.
Collaborate with frontend, infrastructure, machine learning, product, and operations teams to ship end-to-end product improvements.
Help improve internal engineering practices, tooling, documentation, and developer experience as the team scales.
Build with awareness of HIPAA-sensitive data, compliance needs, and data integrity across healthcare workflows.
About You
You have 3+ years of professional software engineering experience, ideally in backend, platform, or full-stack product development.
You have strong programming skills in Python.
You have experience building and maintaining production backend services, APIs, and distributed systems.
You are comfortable working with RESTful or gRPC APIs and service-oriented or microservices architectures.
You have hands-on experience with cloud infrastructure; GCP experience is strongly preferred.
You have experience with relational and/or NoSQL databases such as Postgres, Redis, or DynamoDB.
You are familiar with containerized environments such as Docker and Kubernetes.
You have exposure to infrastructure-as-code tools such as Terraform, or you are excited to deepen that experience.
You have strong debugging skills and are comfortable operating production systems.
You bring systems thinking and a bias toward building reliable, maintainable services.
You can independently own well-scoped projects while partnering effectively with senior engineers on more complex technical decisions.
You communicate clearly and work well with Product Management and cross-functional partners.
You are curious about AI, voice technology, automation, healthcare infrastructure, and revenue cycle management.
You bring high ownership, low ego, and a bias toward action in a fast-moving startup environment.
What Success Looks Like
Within your first 30 days, you will ramp on SuperDial’s product, engineering architecture, GCP-based infrastructure, healthcare RCM workflows, and current priorities. You will begin contributing to production code and building context on how our systems support customer workflows.
Within 60 days, you will independently own well-scoped backend or platform projects, partner effectively with Product Management, and contribute to technical discussions with clear judgment and strong follow-through.
Within 90 days, you will be a trusted contributor on the Engineering team, regularly shipping high-quality work, improving the systems you touch, and demonstrating strong ownership of product and technical outcomes.
How We’ll Understand Fit
During the interview process, we will assess:
Technical fundamentals: Can you write clean, reliable, maintainable code?
Backend systems ability: Can you build and reason about APIs, services, data models, and production systems?
Product partnership: Can you work closely with Product Management and connect technical work to customer impact?
Execution quality: Can you deliver well-scoped projects with speed, clarity, and attention to quality?
Problem-solving: Can you break down ambiguous or complex problems into practical implementation steps?
Ownership: Do you clarify scope, communicate risks, and follow through without needing heavy direction?
Learning agility: Can you quickly ramp on our product, technical stack, and healthcare RCM domain?
Why SuperDial?
Join a fast-growing AI startup shortly after our Series B close.
Build voice and LLM-powered automation that solves meaningful problems in healthcare operations.
Work with modern cloud-native technology in a GCP-based environment.
Partner closely with Product Management and customer-facing teams to build products that are actively used in market.
Own meaningful technical scope while learning from a strong, ambitious engineering team.
Help reduce administrative burden for healthcare organizations and improve how revenue cycle teams operate.
About SuperDial
SuperDial is redefining AI in healthcare. We build voice and LLM-powered solutions for revenue cycle management, helping clinics, health systems, and healthcare organizations operate faster, smarter, and more efficiently. Backed by top-tier investors and recently closed on our Series B, we are growing quickly and hiring engineers to build the next generation of healthcare infrastructure.
Compensation & Benefits
The base salary range for this Burlingame, CA-based role is $180,000 to $225,000 + equity. Final compensation will be determined based on experience and skills.
SuperDial also offers full health benefits, unlimited PTO, 16 weeks of parental leave. Relocation support is available for candidates who are not currently based in the Bay Area.
Product Manager, AI Agents
Role Overview
SuperDial is building AI agents that do real work inside healthcare revenue cycle operations. Our agents help customers automate high-volume workflows such as claims status follow-up, eligibility, benefits verification, prior authorization, and payer communications.
We recently closed our Series B and are entering an exciting stage of company and product growth. As we expand from outbound payer calls into more advanced workflow automation, multimodal evidence gathering, and inbound agent experiences, we are looking for an Associate Product Manager to help us build, test, launch, and improve AI agent products in production.
In this role, you will report to the VP of Product and work closely with Product, Engineering, Operations, Customer Success, and Sales. You will support product execution across AI agent workflows by helping define requirements, organize customer and operational feedback, test product behavior, track agent performance, and create clear documentation for internal teams.
This is a strong fit for an early-career product builder who is technically curious, highly organized, customer-centered, and excited to learn how applied AI can solve real operational problems in healthcare.
What You’ll Do
Own the development and improvement of AI agent workflows across areas such as outbound voice, workflow automation, evidence gathering, and inbound agent experiences.
Partner with Product and Engineering to write clear requirements, user stories, acceptance criteria, product notes, and launch materials.
Advance SuperDial’s core healthcare revenue cycle workflows and help translate operational complexity into clear product inputs.
Review customer feedback, operational escalations, product data, and agent outputs to identify patterns and surface improvement opportunities.
Contribute to QA and launch readiness, including test cases, edge-case review, issue tracking, internal documentation, and post-launch monitoring.
Evaluate agent performance across workflow completion, reliability, escalation patterns, and customer impact.
Partner with Operations and Customer Success to understand where product behavior is working well, where it breaks down, and what needs to improve.
Support customer pilots by organizing feedback, tracking open questions, and helping determine what is ready to scale.
Create internal documentation, workflow guides, enablement materials, and release notes that make product behavior easier to understand across teams.
Contribute to repeatable product and operating patterns that help SuperDial deploy AI agents more consistently across customers.
Who You Are
Technically curious: You are excited by applied AI, automation, and workflow software. You want to understand how AI agents behave in real customer environments.
Detail-oriented: You are comfortable working through workflows, edge cases, tickets, data inputs, QA steps, and customer-specific requirements.
Customer-centered: You care about how users and operators actually work and can turn customer pain points into useful product inputs.
Analytical: You are comfortable using data, examples, and patterns to understand problems and recommend practical next steps.
Organized and reliable: You can manage multiple inputs, follow up consistently, and help keep cross-functional work moving.
Clear communicator: You write clearly, structure information well, and help teams stay aligned.
Eager to learn: You are excited to grow in product management, applied AI, and healthcare technology through hands-on execution.
What We’re Looking For
4+ years of experience in product management, product operations, implementation, solutions, technical operations, customer operations, data operations, or a similarly analytical and cross-functional role, with demonstrated ownership of complex product or workflow initiatives.
Experience owning or meaningfully contributing to product discovery, requirements definition, prioritization, delivery, launch, and post-launch iteration for a product, workflow, or customer-facing capability.
Has helped bring a product or product capability to market, including defining launch requirements, enabling customer-facing teams, gathering post-launch feedback, and using customer or commercial insights to inform product priorities.
Strong product judgment, including the ability to synthesize customer needs, operational realities, technical constraints, and business priorities into clear recommendations and execution plans.
Ability to quickly learn complex workflows and translate ambiguous customer, operational, or technical inputs into clear requirements, success criteria, documentation, and next steps.
Comfort working closely with Engineering, Operations, Customer Success, Sales, and leadership to understand product behavior, customer requirements, production issues, edge cases, and opportunities for improvement.
Excellent organization and attention to detail, with the ability to manage multiple inputs and follow up reliably.
Strong analytical instincts, including comfort using data, customer examples, product performance, and qualitative feedback to understand problems, evaluate tradeoffs, and recommend next steps.
Clear written and verbal communication, with the ability to create alignment, document decisions, and drive follow-through across cross-functional teams.
Strong interest in applied AI, automation, healthcare technology, workflow software, or technically complex products.
Bonus Points
Experience working on AI, automation, workflow, data-heavy, or technically complex software products.
Exposure to healthcare revenue cycle management, payer/provider workflows, claims status, eligibility, prior authorization, denials, billing operations, or RCM services.
Experience supporting QA, customer pilots, implementation, or post-launch monitoring.
Familiarity with integrations, APIs, CSV/data ingestion, dashboards, logs, or customer-specific workflow configuration.
Ability to read basic SQL or use AI-assisted tools to explore product behavior.
Experience creating product documentation, enablement materials, workflow playbooks, release notes, or internal operating guides.
Exposure to GCP tools such as BigQuery, Vertex AI, Cloud Functions, Cloud Run, Pub/Sub, or related data and AI infrastructure.
Why SuperDial
Healthcare operations are filled with critical, high-volume workflows that still rely heavily on manual effort. SuperDial is changing that by building AI agents that can complete real operational work with reliability, intelligence, and scale.
Joining now means helping shape a new category of applied AI: agents that operate in production, inside complex healthcare systems, for customers who need measurable outcomes.
You will work on meaningful product problems, learn directly from customers, partner closely with a strong technical team, and build product judgment in a fast-moving environment where your work can have direct customer impact.
Lead Product Manager, AI Agents
SuperDial is building AI agents that do real work inside healthcare revenue cycle operations. Our agents help customers automate high-volume, manual workflows such as claims status follow-up, eligibility, benefits verification, prior authorization, and payer communications — work that is critical to healthcare organizations, but still far too manual, fragmented, and time-intensive today.
This is a rare opportunity to build applied AI in a domain where reliability, quality, and measurable customer impact matter deeply.
As a Lead Product Manager, AI Agents at SuperDial, you will report to the VP of Product and own a core AI agent product area. You will work closely with Engineering, Operations, and customers to understand complex healthcare workflows, define what great agent performance looks like in production, and ship improvements that make our agents more reliable, useful, and scalable.
This role is ideal for a product leader who is technically fluent, customer-centered, analytical, and energized by ambiguity. You will join early in the development of our Product function and help shape not only what we build, but how we build.
What You’ll Do
Own a core AI agent product area focused on improving agent reliability, workflow completion, customer value, and scalability.
Define product strategy, priorities, success metrics, and roadmap tradeoffs in partnership with Product, Engineering, Operations, and customer-facing teams.
Develop a deep understanding of healthcare revenue cycle workflows and translate customer needs into clear product requirements.
Use product data, operational insights, customer feedback, and production behavior to diagnose issues, identify opportunities, and guide prioritization.
Partner closely with Engineering to scope, build, QA, launch, and iterate on product improvements.
Test and validate new AI agent capabilities with customers and internal teams using pilots, production data, and feedback loops.
Define how SuperDial measures agent quality, workflow completion, reliability, escalation, customer value, and operational efficiency.
Support go-to-market and customer-facing teams with clear product guidance, including supported use cases, product direction, and how capabilities create customer value.
Build repeatable product patterns, playbooks, and operating systems that help SuperDial scale deployments across customers.
Who You Are
Technically curious: You are energized by applied AI and excited to understand how AI agents, automation, and modern product tooling can be applied to real customer workflows.
Systems-oriented: You are comfortable working through complex workflows, data inputs, integrations, edge cases, and operational dependencies.
Customer-centered: You enjoy getting close to users, understanding how work actually gets done, and turning customer pain points into clear product direction.
Analytical and hands-on: You use data to answer questions, validate hypotheses, diagnose root causes, and make practical product decisions.
A pragmatic builder: You balance ambition with execution, navigate tradeoffs well, and help teams ship improvements that make the product more reliable, useful, and scalable.
Clear and collaborative: You communicate thoughtfully, create alignment across functions, and bring structure to ambiguous problems without slowing the team down.
What We’re Looking For
7+ years of relevant experience, including 4+ years in product management or a product-adjacent ownership role within a B2B software environment.
Experience owning a meaningful product area, product line, or complex customer-facing capability, including strategy, roadmap, prioritization, execution, launch, and post-launch iteration.
Experience working on AI, automation, data-heavy, workflow, healthcare, revenue cycle, or technically complex software products where quality depends on system behavior, data inputs, edge cases, and operational performance.
Strong interest in applied AI and comfort partnering with Engineering to improve agent behavior, workflow logic, automation quality, and production performance.
Ability to quickly understand healthcare revenue cycle workflows, including claims, eligibility, benefits verification, prior authorization, payer/provider operations, billing workflows, or similar operational domains.
Strong technical fluency, including the ability to work with Engineering, Data, and Operations on product behavior, integrations, APIs, data ingestion, data quality, and workflow logic.
Strong analytical judgment, including the ability to define success metrics, diagnose root causes, and use data to guide product decisions.
Customer-facing experience, with the ability to ask precise questions, synthesize complex needs, and communicate clearly with technical, operational, and executive stakeholders.
Strong product execution instincts, including the ability to scope work, manage tradeoffs, clarify requirements, support QA, and drive delivery in a fast-moving environment.
Experience defining success metrics for a product area and using data, customer feedback, production behavior, and operational insights to evaluate quality, diagnose issues, and guide prioritization.
Comfort operating in an early-stage, high-growth environment where priorities evolve quickly and process is still being built.
Bonus Points
Direct experience in healthcare revenue cycle management, payer/provider workflows, claims status, eligibility, prior authorization, denials, billing operations, or RCM services.
Direct experience building or deploying AI agents, LLM-powered products, voice AI, automation platforms, or AI-enabled workflow software.
Familiarity with modern AI infrastructure and tooling, such as LLM APIs, agent frameworks, evaluation tools, vector databases, retrieval systems, or AI-assisted development tools.
Experience working in a GCP-based environment, including tools such as BigQuery, Vertex AI, Cloud Functions, Cloud Run, Pub/Sub, or related data and AI infrastructure.
Experience with products involving integrations, APIs, data ingestion, customer-specific workflow configuration, or complex implementation paths.
Ability to read SQL, inspect logs, analyze product behavior, or prototype with AI-assisted tools.
Compensation, Benefits & Work Location
The base salary range for this role is $200,000–$250,000.
This role is eligible for equity.
SuperDial offers full benefits, including medical, dental, and vision coverage, as well as a 401(k) plan.
This role is based in Burlingame, CA.
Our in-office cadence is Monday through Thursday, with remote work on Fridays.
Why SuperDial
Healthcare operations are filled with critical, high-volume workflows that still rely heavily on manual effort. SuperDial is changing that by building AI agents that can complete real operational work with reliability, intelligence, and scale.
We recently closed our Series B and are entering an exciting stage of company and product growth. Joining now means helping shape a new category of applied AI: agents that operate in production, inside complex healthcare systems, for customers who need measurable outcomes.
In this role, you will work directly with customers and internal operators, partner closely with a strong technical team, help define how AI agent capabilities are measured and scaled, and play an important role in building the Product function during a key stage of company growth.
This is a meaningful opportunity for someone who wants to be close to the customer, close to the technology, and close to the decisions that shape a company’s next stage of growth.
RCM Expert
SuperDial is building AI-powered automation for healthcare revenue cycle teams. We’re looking for an RCM Solutions Lead to serve as our in-house revenue cycle expert, partnering closely with Product, Sales, and GTM to ensure our messaging, workflows, and customer conversations accurately reflect real-world RCM operations.
This role translates revenue cycle expertise into product insights, sales enablement, and customer-facing solutions.
About the Role
Revenue Cycle Expertise & Solutions Design
Act as SuperDial’s internal point of contact for revenue cycle workflows across front-end, mid-cycle, and back-end functions
Translate complex RCM processes into clear product positioning and solution narratives
Partner with Product and Product Ops to inform workflows, use cases, and roadmap inputs
Customer Success & Relationship Management
Serve as a strategic partner to customers throughout onboarding, adoption, and ongoing account growth
Build trusted relationships with revenue cycle leaders, operational stakeholders, and end users
Identify risks to customer adoption and proactively develop solutions to improve engagement and retention
Surface expansion opportunities by understanding customer goals, pain points, and evolving operational needs
Act as the voice of the customer internally, ensuring customer feedback influences product, implementation, and go-to-market decisions
Support executive business reviews and strategic customer meetings as the revenue cycle subject matter expert
Sales & GTM Support
Join sales calls as a subject matter expert to support discovery, solutioning, and buyer education
Help prospects understand how SuperDial fits into their existing revenue cycle operations
Support objection handling by grounding conversations in real-world RCM experience
Messaging & Script Development
Refine call scripts, talk tracks, and demo narratives to ensure accuracy and relevance for RCM buyers
Pressure-test sales messaging against operational realities
Contribute to enablement materials for Sales, CS, and Implementation teams
Cross-functional Collaboration
Partner closely with Product Operations to align customer needs, product capabilities, and GTM execution
Share structured insights from sales conversations to inform product and go-to-market decisions
Support internal teams with revenue cycle context as needed
About You:
Experience working in healthcare revenue cycle management or related healthcare operations
Exposure to workflow design, process improvement, or transformation initiatives
Strong understanding of end-to-end RCM workflows including eligibility, coding, billing, AR, denials, and collections
Ability to explain operational concepts clearly to both technical and non-technical audiences
Comfort participating in customer and prospect conversations
Collaborative, low-ego working style
Nice to have
Experience in healthcare SaaS, automation, or technology-enabled services
Experience supporting sales, product, or customer-facing teams
Compensation
This position is remote and has the option to work hybrid from our NY/SF offices. For candidates, the base salary range is $150,000 to $180,000, depending on experience and scope. This role is also eligible for equity and benefits as part of SuperDial’s overall compensation package.
What success looks like
Sales conversations are clearer and more grounded in real RCM workflows
Messaging and scripts accurately reflect buyer pain points and operational realities
Product and GTM teams benefit from consistent, practical revenue cycle insight
Prospects view SuperDial as credible and thoughtful in revenue cycle discussions
General Counsel
SuperDial is building the next generation of AI-powered voice technology — automating and enhancing enterprise communication through real-time conversation intelligence and data-driven automation. We recently raised our Series B and are entering the next phase of scale as we continue expanding our enterprise footprint and AI platform capabilities.
The Role:
We are seeking a highly hands-on, business-oriented Head of Legal to build and lead SuperDial’s legal function during a pivotal stage of growth. This is a foundational leadership role for someone who thrives as a true player-coach — equally comfortable operating as a strategic advisor to leadership and rolling up their sleeves to handle day-to-day legal execution.
You will personally own and drive a broad range of legal matters across commercial contracting, healthcare compliance, employment, governance, fundraising support, and operational risk management, while building the systems and processes needed to scale the company responsibly.
What You’ll Do (Immediate & Long-Term):
First 30–60 Days:
Audit current legal, compliance, and contracting processes
Review enterprise customer agreements, vendor contracts, employment documentation, BAAs, and IP protections
Build relationships across Product, Engineering, GTM, Finance, and Leadership
Assess key legal and operational risks across healthcare, AI, privacy, and enterprise software
Begin standardizing commercial agreement templates and negotiation workflows
Establish outside counsel management processes and legal prioritization framework
90–120 Days:
Personally draft, review, and negotiate enterprise customer agreements, vendor contracts, partnership agreements, NDAs, BAAs, and employment-related documentation
Build scalable legal review, approval, and contracting processes to support rapid enterprise growth
Partner closely with GTM and Sales teams to accelerate deal cycles while appropriately managing risk
Support board governance, financing diligence, and strategic company initiatives
Advise Product and Engineering teams on AI governance, HIPAA/privacy considerations, data usage, and compliance frameworks
Implement practical policies and processes that balance speed, scalability, and risk management
6 Months:
Build the legal infrastructure necessary to support continued scaling and enterprise expansion
Develop playbooks and operational processes across commercial legal, employment, healthcare compliance, and corporate governance
Manage outside counsel across corporate, employment, IP, regulatory, and strategic matters while maintaining efficient legal spend
Support strategic partnerships, procurement, and potential M&A or expansion opportunities
Improve company-wide legal operations, documentation, and internal enablement
Year 1:
Establish a scalable, high-performing legal function aligned with company growth
Serve as a trusted strategic advisor to leadership and the board
Help position the company for long-term scale, operational maturity, and future financing events
Build systems that enable the company to move quickly while maintaining strong legal and ethical foundations
Create a proactive legal and compliance culture that supports innovation and enterprise trust
Why This Role Is Important to Our Growth:
Enterprise Growth Enablement
Build scalable, business-friendly legal processes that support rapid enterprise sales growth and customer expansion.
Strategic Risk Management
Help SuperDial navigate the evolving legal landscape across AI, healthcare, patient data privacy, enterprise security, and enterprise software.
Cross-Functional Leadership
Act as a key partner to leadership, GTM, Product, Engineering, and Finance teams on strategic company initiatives.
Operational Scale
Build the legal infrastructure, systems, and workflows necessary for the company’s next phase of growth.
About You:
7+ years of legal experience, including significant experience advising high-growth technology companies
Combination of top law firm training and in-house startup or growth-stage experience strongly preferred
Proven experience operating as a highly hands-on legal leader in fast-paced startup environments
Strong commercial contracting experience with the ability to independently negotiate complex enterprise SaaS agreements
Required: meaningful experience within healthcare, healthcare technology, digital health, health systems, payors, revenue cycle management, or healthcare AI environments
Strong familiarity with healthcare regulatory and compliance frameworks, including HIPAA, healthcare data/privacy considerations, BAAs, and enterprise healthcare contracting
Experience supporting companies through high-growth scaling phases
Strong business judgment with pragmatic, solutions-oriented legal thinking
Comfortable balancing strategic leadership with day-to-day executional work
Excellent communicator with strong executive presence and cross-functional influence
High integrity, low ego, adaptable, and thrives in fast-moving environments
Bonus Points For:
Experience supporting AI infrastructure, healthcare AI, or data-heavy SaaS platforms
Experience with SOC 2, privacy frameworks, and emerging AI regulations
Fundraising, M&A, or strategic transactions experience
Experience building legal operations and processes from the ground up
Interest in leveraging AI and automation tools within legal workflows
Why Join Us:
Build and shape the legal function at a rapidly scaling AI company
Operate as a true strategic partner to leadership and the broader business
High ownership, visibility, and impact across the company
Fast-moving, collaborative, and execution-oriented culture
Opportunity to help shape the future of AI in healthcare
Meaningful influence during a critical stage of company growth
Who We Are:
SuperDial is transforming AI in healthcare by building scalable, AI-powered solutions that optimize revenue cycle management. Join us and help shape the future of AI in healthcare.
The base salary for this role ranges from $250,000–$325,000, depending on experience, skill set, and fit. We also offer equity and benefits as part of our total compensation package. Final offers may vary based on experience and qualifications — we’re always open to exceptional talent.
AI Operations Engineer
SuperDial is looking for an AI Operations Engineer to increase trial-to-paid customer conversion, maintain high retention, and improve internal operational performance. This role is highly cross-functional and ideal for someone who blends strategic thinking with executional rigor.
About the role:
Own and optimize the customer trial experience to increase conversion rates.
Analyze engagement and usage data to identify and resolve friction points in the customer journey.
Own quality initiatives to maintain high retention alongside the customer success team
Improve operational efficiency across call center and support workflows through process redesign, automation, and performance tracking.
Collaborate across teams (Product, Customer Success, Engineering) to implement scalable systems and workflows.
About you:
3+ years in engineering; startup experience a plus.
Strong analytical skills with experience using Excel, SQL, or other data tools.
Highly organized and detail-oriented, with a proactive problem-solving mindset.
Ability to manage multiple tasks and work cross-functionally in a fast-paced environment.
-
Strong verbal and written communication skills, with the ability to present data clearly.
Preferred qualifications:
Proficient in data analysis and operational tooling (SQL, Excel/Sheets, dashboards).
Strong problem-solving, communication, and cross-functional collaboration skills.
Bonus: Background in healthcare, SaaS onboarding, or call center operations.
What’s in it for you?
The opportunity to contribute to key operational improvements at a fast-growing AI-powered healthcare company.
A dynamic, entrepreneurial culture where your work directly impacts efficiency and customer experience.
Competitive salary, equity and benefits, including health, dental, vision and unlimited PTO.
Who we are:
SuperDial is transforming AI in healthcare, helping organizations improve efficiency, reduce administrative burden, and optimize revenue cycle management. Our operations team is at the core of ensuring seamless execution and continuous improvement. Join us and help shape the future of AI in healthcare.
The base salary for this role ranges from $75,000 to $110,000, depending on experience, skill set, and fit. We also offer equity and benefits as part of our total compensation package. Final offers may vary based on experience and qualifications - we’re always open to exceptional talent.
Quality Lead
We’re hiring a Quality Lead to own and scale quality operations across our enterprise deployment and AI production workflows. This role will sit directly within the Deployment organization and focus on building the processes, systems, QA infrastructure, and operational standards that ensure high-quality customer implementations and reliable AI performance at scale.
You will work closely with Deployment Leads, AI Engineering, Product, Operations, and Customer teams to define quality standards, improve operational consistency, identify failure patterns, and drive continuous improvement across enterprise deployments. This role is critical to maintaining deployment excellence as SuperDial scales customer onboarding and production rollouts.
This is an ideal role for someone who enjoys building operational rigor, improving systems quality, solving ambiguous process problems, and driving scalable quality initiatives in a fast-moving environment.
About the Role
Build Quality Infrastructure for Enterprise Deployments
Design and improve quality systems that support enterprise customer deployments
Build scalable QA workflows, review processes, and operational standards
Partner with Deployment Leads to improve onboarding quality and go-live readiness
Help create quality infrastructure that enables the deployment organization to scale efficiently
Establish repeatable quality assurance processes across customer implementations
Own Quality Metrics & Reporting
Build and maintain dashboards across deployment quality, operational KPIs, AI accuracy, and workflow performance
Develop reporting infrastructure that provides visibility into quality trends, failure patterns, and operational risks
Ensure quality consistency, process adherence, and operational transparency
Create scalable reporting systems for both internal stakeholders and customer-facing teams
Define and track quality benchmarks across deployments and production operations
Drive Process Improvement & Operational Excellence
Identify operational inefficiencies and quality gaps across deployments and customer workflows
Build QA processes, escalation frameworks, and operational improvements that reduce errors and improve consistency
Partner with Operations and Engineering teams to improve deployment reliability and customer outcomes
Continuously improve deployment quality, speed, and scalability through process optimization
Standardize workflows and documentation across deployment operations
Solve Quality Problems at the Systems Level
Analyze quality failures and operational issues to identify root causes and long-term solutions
Build monitoring and quality alerting systems
Improve workflow reliability and operational performance across deployment operations
Support troubleshooting, root cause analysis, and continuous improvement initiatives
Identify trends and proactively implement preventative quality measures
Cross-Functional Collaboration
Work closely with Deployment Ops, AI Engineering, Product, Customer Success, and Operations teams
Translate operational pain points into scalable quality processes and tooling solutions
Serve as a bridge between deployment operations and technical implementation teams
Help align quality standards across customer deployments and internal operations
Who You Are
4+ years in Quality Operations, QA, Deployment Operations, Implementation Operations, Technical Operations, or similar roles
Strong systems-thinking and operational problem-solving skills
Experience building QA processes, operational workflows, reporting systems, and quality frameworks
Comfortable working cross-functionally with both technical and non-technical teams
Highly analytical, detail-oriented, and execution-driven
Strong ownership mindset with the ability to thrive in fast-moving environments
Excellent communication and organizational skills
Nice to Have
Experience with SQL, Python, Retool, Airtable, Zendesk, Notion, or workflow automation tools
Experience building operational QA programs and reporting infrastructure
Experience in healthcare, RCM, AI operations, or enterprise SaaS
Familiarity with APIs, integrations, and workflow orchestration
Experience supporting enterprise customer deployments or implementation operations
Experience working with AI quality evaluation, annotation, or operational review systems
Who We Are
SuperDial is transforming AI in healthcare by building scalable, AI-powered solutions that optimize revenue cycle management. Join us and help shape the future of AI in healthcare!
The base salary for this role ranges from $120,000–180,000 depending on experience, skill set, and fit. We also offer equity and benefits as part of our total compensation package. Final offers may vary based on experience and leveling considerations.
The full posting opens here — pay, setting and the full description, without leaving the list.