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Claritas Rx

Biopharma data integration and analytics platform

Director of Engineering - Solution Engineering and Support

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • Proven experience building and scaling teams, including distributed teams with offshore contractor partners.
  • Strong hands-on background in data engineering and data platforms, including ETL/ELT pipelines, SQL, data modeling, and data quality.
  • Experience with AWS data and infrastructure services such as S3, Glue, Lambda, and Redshift or Snowflake, and orchestration tools such as Airflow.
  • Ability to explain complex technical concepts to business stakeholders and executives and represent the company credibly in front of customers.
  • Experience defining SLAs, support processes, and ticketing workflows such as Jira Service Management, and using metrics to run the function.
  • A BS degree in Computer Science, Engineering, Math, or another STEM-related field.
  • At least 12 years of experience in software or data engineering, including at least 5 years leading engineering teams.
  • Experience leading both a customer-facing technical team, such as solution engineering, sales engineering, or professional services, and a technical support or production operations team.

Responsibilities

  • Build, lead, and develop a team of solution engineers, data engineers, and support engineers across onshore employees and offshore contractor partners, including hiring, onboarding, performance management, and career development.
  • Define team charters, operating models, and clear handoffs with Implementations from pre-sales to kickoff and from go-live to support.
  • Establish and report metrics for both functions, including SLA attainment, ticket volume and aging, incident trends, estimate accuracy, and solution win rates.
  • Own capacity planning, contractor vendor relationships, and budgets for the teams in scope.
  • Lead pre-sales technical discovery, solution design, technical demonstrations, and responses to RFPs, RFIs, and security questionnaires.
  • Translate customer business requirements into solution designs that fit the standard Ascend offering and identify when paid add-on services or custom extracts are needed.
  • Review statements of work and level-of-effort estimates for technical accuracy, scope, and delivery risk before signing.
  • Own the system architecture view for each customer engagement, covering data sources, ingestion, integrations, and outbound extracts.
  • Route product gaps surfaced during the sales cycle to Product with business context and customer impact.
  • Ensure a clean technical handoff to Implementations at kickoff, including documented scope, assumptions, and data source inventory.
  • Own post-go-live technical support for Ascend customers, including production support, issue triage, root cause analysis, and resolution.
  • Lead keep-the-lights-on and sustainment work for existing Ascend customers and drive ongoing optimization to reduce cost and effort.
  • Build and scale the Ascend support model as customers go live, including runbooks, coverage, escalation paths, and SLAs.
  • Partner with Infrastructure and Platform Engineering on environment health, monitoring, data pipeline reliability, and access management.
  • Manage intake, prioritization, and delivery of customer enhancement requests and ongoing reporting needs.
  • Identify recurring issues and partner with Product and Engineering on permanent fixes that reduce support load.
  • Act as the escalation point for critical incidents and data quality issues, communicating with customer and internal stakeholders.

Desired Qualifications

  • SaaS experience in a similar customer-facing role, such as solutions engineering or professional services, ideally at a growth-stage or start-up company, or a consulting background in client-facing technical delivery such as technology, data, or life sciences consulting.
  • Understanding of the life sciences commercial data ecosystem, including specialty pharmacy, hub, distributor, and payer data.
  • Experience supporting customers through a platform migration or major version upgrade.
  • Experience working with PHI in a HIPAA-regulated data environment.

About the Company

Claritas Rx

Biopharma data integration and analytics platform

Claritas Rx blends data from specialty pharmacies, commercial channels, trials, patient support hubs, and copay cards into a cloud-based SaaS platform to give a full view of the patient journey beyond trials. Its Ascend platform automates data integration and analysis, showing real-world factors like fill rates and therapy duration, while Patient Watchtower uses AI/ML to identify patients at risk of stopping treatment so teams can intervene, with daily updates and predictive analytics. The company differentiates itself by focusing on specialty and rare-disease therapies and delivering end-to-end, patient-level analytics that link multiple data sources to inform commercial strategy and patient access, not just clinical outcomes. Its goal is to help biopharmaceutical companies improve patient adherence, support product launches, and strengthen ongoing access and commercial performance for specialty drugs.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
South San Francisco, CA
Founded
2011

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