PerfectServe

QA Engineer

• Execute manual test cases
• Document defects clearly
• Write automation scripts
• Apply API testing tools
• Integrate tests in CI/CD
• Understand system under test
• Execute assigned test plans
• Write own test plans
• Manage test coverage
• Manage QA environment integrity
• Follow test standards
• Ensure HIPAA test coverage
• Participate in ceremonies
• Partner with dev engineers
• Collaborate with product team
• Report defect status
• Communicate test results
• Write test documentation
• Learn QA best practices
• Understand release goals
• Contribute to QA planning

Consultant

• Implement custom, elegant workflow designs to best meet the need of our customers and help better streamline all clinical communications.
• Engage & build fast rapport with customers, such as Practice Managers and Providers.
• Build users, schedules and workflow rules within the PerfectServe platform.
• Provide technical support, occasionally onsite, and make the appropriate user application adjustments during new customer go lives.
• Monitor and make the necessary user and schedule application changes for PerfectServe’s synced applications.
• Execute testing protocols.
• Contribute to configuration standards best practices and
• Execute the company’s configuration quality assurance
• Serve as lead consultant for all types of outpatient projects
• Work with physician offices to understand their communication requirements and apply PerfectServe’s technology in ways that deliver the best possible outcome for them
• Configure workflow solutions
• Conduct practitioner, practice manager and support staff training
• Execute regular quality audits (design and configuration)
• Provide remote go-live support
• Manage account stages in SFDC and SmartSheet

Practice Consultant I

Customer Support

• Field incoming client communications via phone, chat, and our online customer portal
• Help end-users administer their PerfectServe applications
• Train end-users on how best to use PerfectServe’s phone, mobile, and web applications
• Own basic-to-advanced troubleshooting efforts related to message delivery and/or message content issues; identify root cause(s) and make the appropriate configuration changes to resolve the issue
• Consult, design, configure, and deploy custom applications leveraging best practices to meet workflow needs of PerfectServe’s end users
• Build and revise new user accounts based on established standards and best practices
• Work with end-users and hospital IT personnel to troubleshoot mobile and web connectivity issues
• Collaborate with other PerfectServe teams, including customer success, integration, and technical teams, on escalated technical issues
• We expect all team members to have their cameras on during internal and external meetings to encourage engagement and foster a sense of connection.

Tier 1 Support Specialist

Conversion Rate Optimizer

• Own performance, usability, and consistency across campaigns, landing pages, forms, and conversion paths.
• Build, maintain, and optimize pages; translate briefs and wireframes into responsive, accessible, high-performing experiences.
• Manage CMS infrastructure, component libraries, and site governance.
• Continuously improve site speed, schema, crawlability, and site health.
• Report out to the marketing team and stakeholders the performance of the site, trends, testing roadmap and results from tests.
• Run a disciplined experimentation program across landing pages, forms, CTAs, and flows.
• Design and execute A/B and multivariate tests; turn behavior and performance data into prioritized changes.
• Improve conversion across the buyer journey, from first visit through sales handoff, in partnership with Performance and Revenue Operations.
• Optimize structure, metadata, and content hierarchy for traditional search and AI-driven discovery.
• Partner with content and product marketing so pages are structured for clarity, semantic relevance, and machine-readability.
• Own tracking, tagging, and instrumentation on the web properties so conversion data is trustworthy.
• Monitor site performance, surface trends and issues early, and report what’s working.

Website Experience and CRO Manager

Project Manager

• Own the planning cadence, QBRs, roadmap, and the campaign and content intake and traffic system.
• Manage dependencies across pillars so the creation-to-conversion handoff and the content queue actually move.
• Own the martech and process backbone: Salesforce and Pardot administration in partnership with RevOps (only owning the marketing specific workflows)
• Own the attribution model’s plumbing so the pipeline story is clean enough for a board or a data room.
• Support the rollout of AI and agentic workflows across the team; define the playbooks, drive adoption, and track hours saved.
• Identify opportunities for leveraging AI for scale.
• Run delivery for the big cross-functional programs: the AI-first repositioning and exit readiness.

Senior Project Manager

Chief Marketing Officer

• Own the demand-created number across acute and non-acute, with non-acute growth as the headline.
• Set where we play and what we say by segment, and make sure campaigns reflect real market intelligence.
• Lead and develop the segment owners and product marketing.
• Through Product Marketing, own the platform story, launches, competitive positioning, and roadmap feedback across all product lines.
• Co-own the external AI-first positioning with Corporate Communications.
• Own cross-sell demand into the existing customer base through the Demand Gen Managers, in partnership with Customer Success who runs the outreach.
• Through the Sales Enablement & Field Marketing Manager, own enterprise deal enablement, event execution, and the referral and advocacy engine.
• Define qualified demand with Performance and Sales so the creation-to-conversion handoff is clean and measured.

Senior Director, Segment & Solutions Marketing

Full-stack Engineer

• Define and drive architectural decisions that span multiple teams and services, balancing long-term sustainability with near-term delivery needs.
• Identify and resolve high-priority technical risks, bottlenecks, and systemic issues across the platform before they become production problems.
• Own the technical direction of cross-team initiatives from inception through delivery, including design documentation, stakeholder alignment, and implementation.
• Establish and champion engineering standards, patterns, and best practices that improve consistency, reliability, and developer productivity organization-wide.
• Contribute production-quality code to critical, high-complexity features and platform services using Python and React.
• Lead major refactors and modernization efforts, improving performance, observability, and maintainability of core systems.
• Write and review Kubernetes manifests, Helm charts, and CI/CD pipeline configurations (Jenkins, ArgoCD) to support reliable, repeatable deployments.
• Implement and promote automated testing strategies — unit, integration, and end-to-end — that maintain confidence in a fast-moving codebase.
• Serve as a technical mentor and thought partner to senior and intermediate engineers, helping them grow through code reviews, design discussions, and informal coaching.
• Lead internal tech talks, brown bags, and documentation efforts to disseminate technical knowledge across the organization.
• Participate actively in the engineering hiring process, including technical interviews and calibration, helping raise the quality of the team.
• Model the behaviors of a high-trust, high-ownership engineering culture: bias for action, direct communication, and shared accountability for outcomes.
• Partner with Product Owners and QA leads to shape roadmap priorities through a technical lens, identifying dependencies and sequencing work for maximum impact.
• Communicate complex technical tradeoffs clearly to non-technical stakeholders, including engineering leadership and product management.
• Collaborate with DevOps and platform teams to improve infrastructure automation, observability tooling, and cloud resource efficiency on AWS.
• Represent engineering in cross-functional planning forums, contributing to roadmap shaping, capacity planning, and technical risk discussions.

Staff Software Engineer

Manager

• Own the lead lifecycle from marketing-accepted lead through demo requested, across both the high-velocity and the enterprise motions.
• Design and run nurture programs and journeys by segment and stage that move leads toward a demo, partnering with content and product marketing for the assets.
• Own segmentation, send strategy, and sequencing across email and lifecycle channels.
• Manage email deliverability, sending reputation, and list health, in partnership with revenue operations on the underlying data.
• Define and maintain lead scoring and stage definitions with revenue operations and sales, so MAL and Demo Requested mean the same thing to everyone.
• Re-engage dormant and not-yet-ready leads rather than letting them go cold.
• Own ABM programs against named target accounts, concentrated on the enterprise and acute motion.
• Build and run coordinated, multi-channel account plays — email, web personalization (with the website owner), paid (with the agency), and sales outreach — that move accounts toward a demo.
• Partner with the segment demand-generation owners, who set the target accounts and the messaging; you own the orchestration and the plays.
• Coordinate closely with SDRs and AEs so marketing and sales plays are sequenced, not duplicated.
• Operationalize intent and engagement signals (for example, from 6sense) into timely plays, using the enriched data revenue operations provides rather than owning the enrichment itself.
• Measure at the account level: engagement, pipeline influenced, and demos generated.
• Own the MAL-to-Demo-Requested conversion rate as the role’s primary metric.
• Partner with the Website Experience & Conversion Manager on the landing pages and forms your programs drive to, so the journey stays continuous from email to page to conversion.
• Find and remove friction in the path from first marketing touch to demo request.
• Continuously test subject lines, offers, sequences, and play design, and act on what the data shows.

Lifecycle Manager

Engineering Manager

• Own the end-to-end technical architecture of the AI answering service, including voice pipeline design, LLM orchestration, API integration layers, and real-time telephony infrastructure.
• Define and enforce architectural patterns for AI system reliability, latency management, failure recovery, and scalability across production environments.
• Make build-vs-buy-vs-integrate decisions for new AI capabilities; evaluate third-party models, frameworks, and platforms with a critical engineering eye.
• Establish and maintain technical documentation standards across all AI components, ensuring accuracy is kept current as systems evolve.
• Actively participate in design reviews, code reviews, and technical spike work — especially for high-risk or high-complexity components.
• Lead the implementation of core platform components where needed, including AI service integrations, orchestration logic, and platform APIs.
• Diagnose and resolve complex production issues including inference latency, integration regressions, and telephony quality problems.
• Prototype and validate new AI capabilities before committing to full implementation cycles.
• Build and lead a high-performing engineering team as headcount grows; initially operate as both a technical lead and individual contributor.
• Hire, onboard, and develop engineers with a focus on AI/ML fluency, software craftsmanship, and a bias toward continuous improvement.
• Foster a culture of psychological safety, technical rigor, and iterative delivery — where engineers learn from failure as readily as from success.
• Conduct regular 1:1s, provide candid performance feedback, and create individualized growth plans for direct reports.
• Serve as the primary engineering accountability owner for outsourced development partners as required; setting quality standards, reviewing deliverables, and managing the integration of external work into production systems.
• Evaluate third-party AI platforms, cloud services, and tooling; make and document vendor selection decisions.
• Ensure security, compliance, and data governance requirements are embedded into partner contracts and delivery expectations.
• Define and track engineering KPIs: deployment frequency, system uptime, latency SLAs, error rates, and mean time to recovery.
• Lead the team's adoption of modern development practices including AI-augmented development workflows, automated testing for ML outputs, and continuous deployment pipelines.
• Own the engineering budget and resource allocation; communicate tradeoffs clearly to the CTO.
• Collaborate with Product, Clinical, and Operations to translate requirements into reliable, scalable software — and to push back constructively when timelines or scope are unrealistic.
• Partner with the Director of Product Management to align technical roadmap sequencing with product strategy and customer commitments.
• Represent engineering in executive conversations; translate technical realities into business risk and opportunity language.
• Contribute to PerfectServe's broader AI strategy, sharing perspectives on emerging capabilities, architectural evolution, and responsible AI practices.

Director of Software Engineering

Product Manager

• Define and own the product strategy for PerfectServe’s AI answering service, including near-term delivery commitments and a longer-horizon vision for how AI evolves across the portfolio.
• Translate business objectives and clinical workflows into a prioritized, clearly reasoned product roadmap — and maintain it as a living document that reflects new information, not a static plan.
• Partner with the CTO and Director of Software Engineering to align roadmap sequencing with technical capacity, architecture constraints, and infrastructure investments.
• Lead ongoing customer discovery efforts: conduct interviews, site visits (virtual or in-person), and workflow observation sessions with clinical and administrative end users.
• Use modern AI tools to accelerate product work: generate prototypes and wireframes, run rapid concept tests, and explore technical feasibility before committing engineering resources.
• Identify and manage product-level compliance and safety considerations including HIPAA, minimum necessary data principles, and the appropriate use of AI in clinical decision-adjacent contexts.
• Own the relationship between product requirements and engineering delivery — writing precise, well-scoped specifications that reduce ambiguity without over-constraining implementation.
• Define the measurement framework for AI product performance: establish baselines, set targets, and drive quarterly reviews of key metrics with engineering and executive leadership.

Director of Product Management

• Solving complex problems as part of a team
• Writing code to standards, implementing best practices.
• Identifying, and communicating, technical debt and risk, and effecting resolutions.
• Collaborating with Product Owners in Release/Iteration planning.
• Developing, designing, and documenting based on business requirements within an Agile context
• Reviewing code for testability, maintainability and adhering to best practices.
• Mentoring junior members on the team.