• Work directly with contracted providers to help resolve issues • Assess and negotiate provider fee schedules • Attempt to reverse termination requests • Partner with other network team members on various projects related to dental network providers • Provide outstanding customer service to providers and internal partners • Grow knowledge base of Network strategy

• Design, implement, and optimize GCP network architectures for SSC • Lead cloud migrations and transformation initiatives • Coach and mentor DevOps teams and architects • Collaborate with PMs, Scrum Masters, and stakeholders • Identify and resolve complex cloud and network issues • Provide architecture guidance across hardware, host system software, software, storage, and network

• Own end-to-end provider credentialing and enrollment across Medicaid, Medicare, Medicare Advantage, and D-SNP payers, including maintenance of CAQH and payer systems, tracking of statuses, renewals, and effective dates to ensure uninterrupted network participation. • Act as the primary internal coordinator for credentialing across providers, payers, and cross-functional teams, resolving issues and driving timely completion. • Lead credentialing readiness for new payer launches, expansions, and ongoing payer requirements, ensuring standards and timelines are met to accelerate time-to-revenue and maintain payer trust. • Partner with Implementation and Operations to confirm credentialing completion prior to handoffs and go-lives. • Ensure credentialing policies and documentation meet payer and regulatory requirements (e.g., CMS, NCQA, state Medicaid agencies, and payer-specific standards). • Maintain audit-ready credentialing files and documentation to support payer reviews, compliance checks, and Medicare Advantage/D-SNP oversight. • Monitor and track clinician licenses, board certifications, and required documentation (as applicable), including renewal workflows and proactive outreach. • Manage credentialing / eligibility requirements for community-based roles relevant to Medicaid and CalAIM delivery (e.g., CHWs), including certification pathways and ongoing compliance tracking. • Build and maintain systems that track workforce readiness requirements such as certification status, training completion, supervision needs, and continuing education requirements where applicable. • Build and continuously improve credentialing infrastructure, including: SOPs and policies/procedures, standardized forms and credentialing packets, onboarding checklists and job aids, tracking systems and dashboards (credentialing status, payer readiness, expirables). • Identify bottlenecks and implement process improvements to reduce credentialing cycle times and improve readiness accuracy. • Operate as a trusted cross-functional partner to Payer Partnerships, Implementation, Operations, and Clinical leaders. • Communicate clearly and proactively when credentialing risks threaten timelines, launches, or payer requirements. • Create clarity and accountability around credentialing ownership, timelines, and required inputs.

At Podium, we bring AI Employees to local businesses that turn every conversation into revenue. Trusted by 60,000+ businesses across Auto, Home Services, and Aesthetics, Podium captures and converts leads 24/7, driving both new business and repeat customers. In under 24 months, we crossed $100M in AI Agent ARR, scaling 300% year-over-year. During this time, we’ve deployed 10,000 AI employees to empower real business outcomes for our customers. Podium is building what we believe will be the most impactful AI employee ecosystem for local business. Podium has been recognized as the Best AI Implementation by Inc. Magazine, highlighted by OpenAI for building revenue-driving AI Agents, and awarded the #1 AI Agent for Business Operations by G2. Our growth is fueled by hiring exceptional people, holding them to high standards, and creating opportunities for them to grow and make an impact. Our operating principles guide daily behavior and ensure we hire people who will thrive at Podium. If you're hungry for growth, aligned to our operating principles, and ready to get to work, you won't find a better place to learn and accelerate your career. Staff AI Engineer The Role We are looking for a talented Staff AI Engineer to help build and scale our AI Agent platform—a powerful system that autonomously interacts with customers, handling millions of conversations every month. In this role, you’ll design and deliver the software that enables local businesses to manage complex customer interactions automatically, book more appointments, and serve their customers more effectively across multiple channels (e.g., voice, SMS, chat). If you thrive in fast-paced, highly iterative environments, enjoy solving complex distributed systems challenges, and want to see your work drive immediate business impact, this role is for you! What you will be doing Build and scale the AI Agent platform — enabling high-volume, real-time conversational workflows that deliver accuracy and low latency at scale. Design and implement APIs, services, and infrastructure that power multi-turn, cross-channel customer interactions. Own the full lifecycle: architecture, implementation, deployment, and ongoing reliability. Prototype rapidly, iterate with live interaction data, and continuously improve system performance and user experience. Implement observability, monitoring, and operational best practices to ensure reliability in production, focusing on agent accuracy and latency. Collaborate with engineers, product managers, and AI/ML scientists to deliver end-to-end features that power critical business outcomes. What you should have 10+ years of professional software engineering experience with at least one modern language such as Go, Python, or Elixir. 1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows. Proven success designing and maintaining distributed or high-throughput systems. Strong problem-solving ability and comfort navigating ambiguity in large-scale systems. Excellent communication skills and the ability to work effectively across teams. A willingness to work across the entire stack—from infrastructure to APIs to user-facing components—wherever the problem needs solving. Ability to thrive in a fast-paced environment with shifting priorities. What we hope you have 2+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows. Practical experience designing and implementing evaluations for LLM behavior — including accuracy, safety, reliability, and cost monitoring. Strong understanding of prompt design, context engineering, and guardrail strategies for dependable, interpretable agent behavior. Experience with modern agent frameworks such as LangGraph, CrewAI, or AutoGen, including multi-step reasoning, memory, and orchestration patterns. Hands-on experience with fine-tuning and data curation for improving model performance. Why you’ll love working here: Podium is the best place to work to: Join the leaders in AI agents Unlock career-defining growth Build with world-class talent Make a real impact on local business Benefits: Open and transparent culture Life insurance, long and short-term disability coverage Paid maternity and paternity leave Fertility Benefits Generous vacation time, plus three 4-day summer holiday weekends Excellent medical, dental, and vision benefits 401k Plan with company matching Bi-annual swag drops with cool Podium gear and apparel Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.