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Blueprint Health

Blueprint Health is a company focused on health and wellness, utilizing innovative technologies to improve patient care and health outcomes.

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Jobs at this company:

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🔥 Customer Success Manager
Posted 2024-10-26

📍 United States

🧭 Full-Time

🔍 Digital health

  • At least 2 years of experience in customer success, preferably in tech-driven environments.
  • Excellent communication skills to present insights to both technical and non-technical stakeholders.
  • Ability to work independently and manage multiple projects in a fast-paced environment.
  • Experience in a startup or rapidly growing environment, demonstrating adaptability and problem-solving.
  • Digital health or SaaS experience is a bonus.

  • Maintain and grow revenue from assigned enterprise customers.
  • Build strong, long-term relationships with customers, including regular partnership reviews.
  • Work with new customers to ensure successful setup, configuration, training, and product adoption.
  • Act as a customer advocate among sales, product, support, clinical, and engineering teams.

Project ManagementData AnalysisData analysisCommunication SkillsAnalytical SkillsCollaborationProblem Solving

Posted 2024-10-26
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🔥 Product and Marketing Data Analyst
Posted 2024-10-17

📍 United States

🔍 Digital health

  • At least 2 years of experience in product and marketing analytics, ideally in a fast-paced, tech-driven environment or venture-backed company.
  • Proficiency in SQL, with a demonstrated ability to build and interpret visualizations that lead to actionable insights.
  • Experience with analytics platforms like Google Analytics, HubSpot Analytics, Heap Analytics, Amplitude, Pendo, Mixpanel, or similar tools.
  • A self-driven, analytical mindset, with the ability to synthesize complex data and translate it into clear recommendations.
  • Strong business analysis skills with a focus on using data to influence both product and marketing strategies.
  • Excellent communication skills, with experience presenting data insights to both technical and non-technical stakeholders.
  • The ability to work independently, handle multiple projects, and take initiative in a fast-paced environment.

  • Use SQL to create custom queries and visualizations, helping the product and engineering teams gain insights into user behavior and product performance.
  • Leverage product analytics tools like Amplitude, Pendo, Heap, or Mixpanel to track and interpret user interactions within our platform, identifying trends and opportunities for product improvement.
  • Work closely with the product management team to analyze user flows, feature adoption, and customer retention, translating data into recommendations for enhancing the product experience.
  • Perform A/B testing analysis to evaluate the impact of product experiments, driving self-initiated decisions based on data insights.
  • Analyze campaign performance across various channels (e.g., email, paid media, content, and social) to optimize strategies for lead generation, conversion, and user engagement.
  • Build dashboards and visualizations using platforms such as Google Analytics, HubSpot Analytics, or similar tools to track key marketing KPIs (e.g., CAC, LTV, conversion rates).
  • Collaborate with the growth and marketing teams to provide actionable insights that inform decisions on budget allocation, channel effectiveness, and campaign improvements.
  • Set up and monitor tracking for digital marketing efforts, ensuring accurate attribution and performance analysis.
  • Partner with stakeholders across product, marketing, and engineering to ensure alignment on key metrics, goals, and data-driven insights.
  • Present findings and actionable recommendations to team members and leadership, enabling data-driven decision-making across the organization.

SQLBusiness AnalysisData AnalysisGoogle AnalyticsStrategyProduct AnalyticsData analysisCommunication SkillsCollaboration

Posted 2024-10-17
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🔥 Clinical Product Content Specialist
Posted 2024-10-15

📍 Chicago, Illinois, United States; Berkeley, California, United States; New York, New York, United States; Los Angeles, California, United States

🧭 Full-Time

🔍 Digital health

  • Education: Master’s degree in Social Work, Counseling, Psychology, or a related mental health field (e.g., MSW, MS in Counseling).
  • Licensure: Licensed or license-eligible in your field (e.g., LCSW, LPC, LMFT).
  • Experience: 3+ years of post-license clinical experience in mental health counseling or psychotherapy.
  • Evidence-Based Practice: Deep understanding of evidence-based assessments, worksheets, and interventions.
  • Fast-Paced Environment Adaptability: Proven ability to work efficiently and effectively in a fast-paced, dynamic environment.
  • Collaboration Skills: Strong ability to collaborate with cross-functional teams and communicate effectively under tight timelines.
  • AI Familiarity and Interest: Strong, demonstrable interest in AI tools and how they can be used to accelerate clinical work without compromising on clinical accuracy.
  • Technical Proficiency: Comfortable using digital tools, CMS platforms, and data analytics tools to manage and deploy content swiftly.
  • Analytical Skills: Ability to quickly interpret and apply clinical research findings and content usage data to inform decisions.
  • Additional Valued Experience: Knowledge of digital health platforms, data analysis, measurement-based care practices, and experience in program design and startup environments.

  • Research and Curation: Lead research and rapidly curate evidence-based assessments, worksheets, interventions, and other clinical tools for integration into our platform.
  • AI Utilization: Leverage AI tools and workflows to accelerate the identification, validation, and generation of evidence-based content, ensuring high-quality and efficient results.
  • Content Management: Keep content organized and up-to-date in our Content Management System (CMS) to ensure quick accessibility and deployment.
  • Quality Assurance: Conduct prompt QA, review, and validation of clinical content for accuracy and compliance with industry standards.
  • Cross-Functional Collaboration: Collaborate efficiently with internal teams to ensure content aligns with best practices and meets user needs, leading a team of clinicians when necessary to expedite content development.
  • Data-Driven Decision Making: Analyze content usage analytics, discovery tools, and clinical research literature to identify timely and relevant content updates.
  • Programmatic Support: Assist in creating knowledge base articles, address client inquiries related to clinical content, and facilitate clinical training to support customer success.

LeadershipData AnalysisQAContent managementData analysisAnalytical SkillsCollaboration

Posted 2024-10-15
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