Top Tech Jobs & Startup Jobs

Own pricing systems, deal support, dynamic pricing models, and pricing analytics. Administer DealHub, maintain CRM and pricing data integrity, configure pricing logic, train sales teams, develop KPI dashboards, analyze supply and demand, support quote strategy, and enforce pricing governance across products and strategic deals.

Plans and executes pharma and industry conferences, sponsorships, roundtables, executive dinners, and client events. Manages budgets, timelines, vendors, sponsorship deliverables, logistics, attendee communications, onsite execution, and event data. Collaborates with Marketing, Sales, leadership, designers, conference organizers, and external partners to strengthen brand visibility, client relationships, and commercial outcomes.

Leads a team of manual and automation QA engineers, overseeing test planning, execution, defect tracking, QA standards, release coverage, and automation framework expansion. The role partners with product, development, data, and executive teams to improve quality practices, support compliance, and strengthen testing across software platforms in an Agile environment.

Own end-to-end account-based marketing programs, translating commercial priorities into briefs, campaigns, events, direct mail, client experiences, and sales activations. Coordinate Sales, Marketing, vendors, and cross-functional stakeholders while managing timelines, budgets, logistics, follow-up, reporting, attribution, and optimization. Track engagement, meetings, pipeline, conversion, and ROI using HubSpot data. Develop repeatable processes and ensure activations meet brand, privacy, quality, and healthcare compliance standards.

Build and productionize internal AI applications from business-unit prototypes. Responsibilities include auditing AI tools, refactoring applications for security and scalability, integrating LLMs with Salesforce and the enterprise data lake, maintaining deployed solutions, managing stakeholders, and enforcing data governance, access controls, and hallucination mitigation.

Leads AI automation quality and reliability as a player-coach. Builds testing harnesses, LLM evaluation frameworks, RAG and prompt regression tests, CI/CD release gates, staged rollouts, and rollback controls. Establishes quality metrics and standards for autonomous agents across internal platforms and customer-facing products. Partners with AI engineers, researchers, architects, and product teams on launch readiness, documents testing practices, and grows an automation function while remaining hands-on.

Leads product design across mobile, web, platform, and AI-powered experiences. Owns user discovery, design systems, interaction and visual quality, prototyping, accessibility, and cross-functional partnership with product, engineering, and compliance. Manages and develops designers while remaining hands-on on high-impact product surfaces. Designs trustworthy AI and agentic workflows for regulated healthcare products and maintains standards across production and AI-assisted development tools.

Build and operate scalable AWS cloud infrastructure, CI/CD pipelines, containerized and serverless workloads, monitoring, security, and automation. Lead incident response, improve reliability and cost efficiency, resolve software defects, enhance QA automation, and support feature development. The role requires production software experience, cloud infrastructure expertise, Infrastructure as Code, scripting, SQL, CI/CD, containerization, networking, and cloud security knowledge.

Facilitate Scrum ceremonies, coach development teams and stakeholders in agile practices, remove impediments, support backlog refinement, track sprint metrics, coordinate across teams, and improve organizational agile processes for healthcare technology solutions.

Develop and deploy practical AI solutions across internal tooling, AI platforms, and existing products. Build LLM applications using prompt and context engineering, RAG, agentic workflows, and generative AI. Create evaluation frameworks, benchmarks, testing harnesses, and production infrastructure. Apply machine learning algorithms, contribute to secure AWS-based architecture and DevOps, collaborate with product and engineering teams, and mentor junior engineers.