Impiricus

Content Marketing Manager

• Develop Impiricus and product portfolio narratives, messaging frameworks, value propositions, competitive positioning, personas, and use cases
• Become an expert on the Impiricus commercialization platform and demo it to internal and external audiences
• Build the product marketing roadmap and launch strategy for products, capabilities, and major releases
• Partner with Product early to bring market and customer perspective into product strategy
• Define launch audiences, narratives, content, experiences, channels, enablement, and success metrics
• Own strategy and development of product and thought leadership content across the funnel
• Create product pages, sales materials, case studies, one-sheets, presentations, demos, videos, executive content, and launch assets
• Partner with Sales to build persuasive materials for pharmaceutical leaders across commercialization functions
• Translate product capabilities, customer challenges, and proof points into clear sales stories
• Partner with ABM to create personalized positioning, presentations, use cases, and materials for priority accounts
• Partner with Events to create product demonstrations, interactive experiences, installations, and activations
• Work with Design on visual representations of products, platform, workflows, and value
• Develop market intelligence on buyers, users, competitors, healthcare commercialization, and the AI market
• Share market insights with Product, Sales, and Marketing to sharpen positioning and identify opportunities

Senior Director, Product Marketing, Content

Data Analyst

• Monitor client performance against defined success metrics and surface trends, risks, and opportunities
• Present findings to clients and lead analytics input for QBRs, EBRs, and executive updates
• Translate complex data into bespoke, actionable narratives tailored to client brand objectives
• Build visual stories for Client Services, Sales, and external clients
• Direct strategic initiatives, analyses, and client relationships requiring judgment and analytical skill
• Scope and lead complex, ambiguous analyses with cross-functional stakeholders
• Balance hands-on analytical execution with executive-level representation
• Partner with Client Services, Sales, Product, and Operations
• Communicate progress, findings, and recommendations
• Represent the Data & Analytics team in cross-functional discussions and client meetings
• Optimize workflows and drive continuous improvement
• Support renewals, expansion, client engagement, and business development through data-driven insights
• Produce presentations and insight summaries for senior stakeholders
• Manage and coach analysts, providing direction, feedback, and career development
• Review analyst work for logic, methodology, and communication framing
• Balance competing priorities and keep delivery on schedule
• Set and reinforce standards for methodology, visualization, accuracy, and client-ready storytelling

Senior Director, Commercial Data, Analytics

Pricing Analyst

• Own day-to-day pricing support for individual deals, including researching prior deal history and terms to inform quoting
• Own quote strategy and quote requests while communicating with sales, deal desk, and leadership stakeholders
• Support structuring and defending non-standard deal terms and reviewing strategic or large deals
• Analyze supply and demand by therapeutic area and launch stage to set and adjust pricing
• Build, own, and maintain inventory-based dynamic pricing models
• Serve as subject-matter expert and administrator for DealHub CPQ platform
• Translate new business-model logic into DealHub configuration and deploy changes as models evolve
• Train sellers on DealHub, resolve platform issues, and drive system adoption and improvement
• Execute cross-product pricing analyses and optimization initiatives
• Build, maintain, and enhance pricing KPI dashboards
• Analyze pricing performance across Ascend, Pulse, and Spark and surface strategic findings
• Own HubSpot/CRM data cleanliness and hygiene for pricing fields and deal data
• Support finance reporting and ad hoc operational requests
• Help enforce pricing adherence in proposals, SOWs, and contracts
• Support approval workflows, discount rules, and deal review

Senior Pricing Analyst

SDET

• Ensure delivery of high-quality, secure, and reliable software products across teams and platforms
• Lead and develop a team of QA engineers across manual and automation specialties
• Define responsibilities, review work quality, and provide coaching and performance feedback
• Review test plans, test cases, and test scripts for thorough requirements coverage
• Manage team capacity, workload distribution, and deliverables
• Identify, log, and track defects through resolution with developers
• Establish, document, and maintain QA standards, guidelines, and best practices
• Drive proactive Quality Advocacy across teams
• Oversee test planning, execution, and coverage for features and releases
• Ensure consistency in test case structure, documentation, and readiness
• Lead expansion of automation frameworks and practices across platforms
• Identify automation candidates and prioritize the automation backlog
• Provide stakeholders with regular updates on automation progress and results
• Collaborate with product managers, developers, data teams, and executive leadership in an Agile environment
• Drive quality strategy, standardize QA practices, and identify process improvements

QA Automation Manager

Account Manager

• Own end-to-end execution of 1:1 and 1:few ABM programs across workshops, innovation days, industry and association moments, direct mail, gifting campaigns, client experiences, and tailored activations
• Translate commercial priorities into program briefs covering audience, messaging, offer, channel mix, call to action, timeline, budget, owners, and success measures
• Drive programs from brief to launch, managing workbacks, reviews, vendors, production, logistics, Sales readiness, and follow-up
• Build repeatable activation frameworks, templates, and processes to increase execution speed and capacity
• Manage multiple programs simultaneously, identify dependencies, resolve blockers, and escalate decisions
• Partner with Sales pods and commercial leaders to turn account priorities, opportunities, and triggers into Marketing activations
• Run the operating rhythm for ABM execution, including readiness, launch coordination, Sales follow-up, decision tracking, and next steps
• Support business development and full-lifecycle activations that create opportunities and strengthen client relationships
• Collaborate with Marketing, Sales, Commercial Operations, Creative, Client Services, and other partners
• Track account engagement, meetings created, opportunity progression, influenced pipeline, conversion, and ROI
• Partner with Marketing Operations on reporting and attribution; use HubSpot data to evaluate and optimize results
• Produce concise monthly program readouts
• Improve audience selection, messaging, channel mix, timing, execution, and follow-up using campaign results and account signals
• Document successful plays, templates, processes, and lessons learned
• Maintain quality across copy, creative, audience lists, event logistics, fulfillment, seller materials, and post-campaign follow-through
• Ensure activations meet brand, quality, privacy, and healthcare compliance requirements with appropriate approvals

Marketing Manager, Account Based Marketing

Events

• Oversee end-to-end planning of assigned pharma and industry conferences, including timelines, operations, logistics, budgets, and booth/sponsorship deliverables
• Own fulfillment of sponsorship deliverables, including registrations, tabletop booth displays, branding/creative assets, and contracted benefits
• Plan and execute roundtables and client dinners, including venue/vendor coordination, guest list development, attendee recruitment communications, and event deliverables
• Manage onsite event presence as needed
• Coordinate priority attendees, client meetings, networking opportunities, and event follow-ups with sales and commercial leaders
• Coordinate event content, marketing collateral, and social media engagement with marketing and design leaders
• Serve as primary operational liaison with conference organizers, vendors, and external event stakeholders
• Ensure event leads, meetings, attendance, and engagement data are accurately captured and shared for follow-up
• Maintain documentation, timelines, and scalable event management processes
• Communicate roadblocks and program updates in a timely and effective manner

Marketing Events Manager

Solutions Engineer

• Evaluate and audit AI tools and automations built by non-technical business units for commercial ROI, security posture, and architectural viability
• Refactor high-value internal prototypes such as AI SDRs and RFP generators into secure, scalable, enterprise-grade applications
• Build and maintain secure integrations between foundational models via APIs and the Enterprise Data Lake and Salesforce CRM
• Own the full lifecycle of graduated internal AI applications, ensuring uptime, managing prompt drift, and updating API connections as schemas change
• Interview business stakeholders to identify operational bottlenecks, define scope, and determine whether solutions should be AI experiences or SQL dashboards
• Enforce Enterprise Data & Analytics standards, including zero data leakage, strict access controls, and hallucination-risk mitigation
• Serve as a Forward Deployed Engineer bridging grassroots business-unit innovations and enterprise-grade stability
• Report to both the central AI hub team and the supported business unit

AI Solutions Architect

QA Automation Engineer

• Own infrastructure that continuously verifies whether autonomous agents take intended actions before and after production
• Stage, test, and lifecycle-manage bots and agent workflows
• Establish baseline quality metrics and coverage standards for AI initiatives
• Build infrastructure to run automated research chains and agent evaluations at scale
• Create automated evaluation frameworks for LLM outputs covering accuracy, safety, bias, and regression
• Implement RAG evaluation, prompt regression testing, and golden-set benchmarking
• Define and enforce quality thresholds before release
• Partner with AI Researchers and Engineers on evaluation design for new model and agent patterns
• Build release-gating infrastructure, including staged rollouts and rollback authority
• Develop AI automation solutions to maintain software quality across the product portfolio
• Integrate testing into GitHub Actions or equivalent for AI model and agent releases
• Maintain test suites as models, prompts, and tools change
• Collaborate with AI Solutions Architects, AI Engineers, Principal AI Product, and product teams on evaluation, launch readiness, QA, and feature validation
• Document standards, runbooks, and patterns so non-engineers building in Sage can self-serve basic testing
• Set technical standards and grow into leading a small automation team

Director, AI Automation Engineering

Product Designer

• Own product design across the portfolio and set the bar for the function
• Stay hands-on on the highest-stakes product surfaces
• Maintain standards for clarity, accessibility, workflow fit, and consistent product quality
• Lead user discovery with HCPs, patients, and internal users
• Translate research and feedback into actionable design direction
• Build understanding of physician and operator workflows for roadmap discussions
• Partner with Product on post-launch experience measurement
• Own and govern the product design system, including components, patterns, and tokens
• Extend the design framework for product UI and AI-assisted build flows
• Design AI-powered experiences, conversational flows, agent interactions, and UX guardrails for regulated contexts
• Partner with AI and engineering leadership on platform and builder UI
• Establish critique, review, and quality standards for the design team
• Partner with product and engineering leads from discovery through delivery
• Represent design in product planning
• Partner with Engineering on feasibility, implementation fidelity, and front-end delivery
• Partner with Compliance and MLR on regulatory product UI requirements, fair balance, and required disclosures

Director, Product Design

DevOps Engineer

• Design, build, and maintain scalable AWS infrastructure using Infrastructure as Code tools such as Terraform or AWS CloudFormation
• Develop and manage CI/CD pipelines using AWS services or third-party tools
• Operate and optimize containerized and serverless workloads using EKS, ECS, Lambda, and Fargate
• Monitor, log, and troubleshoot systems using Amazon CloudWatch, AWS X-Ray, and related observability tools
• Implement AWS security best practices, including IAM, VPCs, security groups, and secrets management
• Automate infrastructure operations, scaling, and maintenance using scripting and AWS-native automation services
• Lead incident response and post-incident reviews to improve reliability, performance, and cost optimization
• Identify, troubleshoot, and resolve software defects
• Contribute to and enhance QA automation
• Support additional infrastructure, platform, and operational efforts as needed
• Collaborate with Engineering and QA teams on automated testing, issue resolution, and new features

Software Engineer – DevOps

Scrum Master

• Lead and facilitate Scrum ceremonies, including daily stand-ups, sprint planning, retrospectives, and review meetings
• Coach development teams and stakeholders in agile principles
• Remove impediments and blockers affecting team productivity
• Collaborate with the Product team to maintain and groom the product backlog
• Ensure user stories are well-defined and effectively prioritized
• Track and report team metrics, sprint progress, and project status to stakeholders
• Facilitate cross-team coordination and communication for healthcare communication solutions
• Support the development, scaling, and improvement of agile practices across the organization

AI Engineer

• Develop and improve internal AI tooling, platform capabilities, and AI-enabled product functionality
• Integrate AI capabilities and APIs into existing products
• Build LLM-powered solutions using prompt engineering, context engineering, RAG, agentic workflows, and generative AI
• Create and maintain AI harnesses, evaluations, benchmarks, and testing frameworks
• Apply ML algorithms such as linear regression, logistic regression, tree-based methods, and neural networks
• Contribute to secure, scalable AI architecture, infrastructure, DevOps, hosting, and system optimization using AWS services
• Collaborate with product, data engineering, and software engineering teams to align AI initiatives with business needs
• Track emerging AI technologies and contribute to engineering best practices
• Mentor junior engineers