Job description
RxSense is a leading healthcare technology company delivering innovative solutions for pharmacy benefits and prescription savings. Our enterprise platform brings transparency, flexibility, and efficiency to pharmacy benefit management, helping clients streamline operations and enabling consumers to save on prescriptions. By integrating intelligence across the pharmacy ecosystem, RxSense makes cost-effective healthcare more accessible. Whether for PBMs, pharmacies, or individuals, our solutions help modernize operations, reduce costs, and improve outcomes.
RxSense also owns and operates SingleCare, a free prescription savings service that offers consumers access to consistently low prices on prescription drugs. Through its partnerships with the country’s largest pharmacies and grocers, including CVS, Walgreens, Walmart, Kroger and Albertsons, SingleCare improves access and adherence to affordable medications and has helped millions of Americans save over $11 billion on their medications.
RxSense is a great place to work! Our company has earned several prestigious awards, including Fast Company’s Most Innovative Companies, Forbes’ Top Startup Employers, Modern Healthcare’s Best Places to Work in Healthcare, and Inc’s Best in Business and Best Workplaces.
Position Overview:
We are seeking an experienced and strategic Senior Vice President of Software Engineering Delivery & Platform Enablement to lead the execution engine behind our software and service delivery, while owning the foundation that powers internal engineering excellence. This leader will drive outcomes across project delivery, DevOps, platform maturity, core services, AI adoption, and team capability development.
The ideal candidate will bring structure, innovation, and accountability to how we deliver value to our clients and how we scale our technical capabilities internally. This role also provides focused leadership, ensuring platform services, automation, and internal tools have the space and support to grow. A key part of this evolution includes the integration of AI into software development workflows, platform services, and tooling — enabling more intelligent, adaptive, and efficient engineering processes. This role will also empower software delivery teams to integrate AI and machine learning capabilities into their own solutions, products, and implementations.
Key Responsibilities:
Platform Enablement, AI Integration & Automation
- Lead strategy and execution for automation across CI/CD, infrastructure as code, testing, observability, and developer productivity tooling.
- Build and scale internal developer platforms and shared services to accelerate delivery velocity and reduce operational friction.
- Identify and implement opportunities to embed AI and machine learning into internal tooling, code review, testing, observability, deployment pipelines, and incident management processes.
- Champion the adoption of AI-assisted developer workflows, including intelligent documentation generation, prompt-based coding assistants, and automated quality assurance.
- Partner with Software Engineering leaders to enable delivery teams to embed AI and ML capabilities directly into the solutions they build, including integration patterns, data pipeline readiness, and AI-driven product features.
- Ensure platform services, integration tools, and foundational capabilities have clear ownership, support, and room to evolve.
- Strengthen DevOps as a core enabler of product delivery — distinct from BI/reporting functions — ensuring it is staffed, funded, and directed with long-term vision.
- Collaborate with Product and Architecture to align platform and tooling strategy with emerging AI/ML use cases and customer value drivers.
Architecture and Core Services
- Define and champion architectural patterns, reusable services, and technical governance models across the engineering organization.
- Collaborate with senior architects to realign them to their highest areas of impact — particularly in scalable, performant solution design and integration strategy.
- Own the maturity roadmap for core services and integration platforms, identifying gaps and driving investment decisions accordingly.
- Guide the design and adoption of AI-enhanced architectures and integration frameworks that support continuous learning and adaptive system behavior.
Team Growth & Capability Building
- Lead the transformation to a product-oriented, technically strong engineering culture.
- Design and implement technical upskilling and mentorship programs, including training on AI-powered development tools, prompt engineering, and ethical use of generative AI.
- Foster organizational readiness across delivery teams to confidently build, deploy, and manage AI/ML features in customer-facing and internal solutions.
- Create a culture of ownership, autonomy, and accountability across delivery and platform teams, with a strong emphasis on continuous learning and responsible innovation.
Qualifications
- 20+ years of experience in software engineering, with 7 plus years in senior or executive leadership roles driving delivery, platform, and DevOps strategy across large-scale systems.
- Proven track record of leading complex software delivery organizations in fast-paced, high-growth environments — ideally within SaaS, healthcare technology, or enterprise platforms.
- Deep expertise in cloud-native architecture, agile development methodologies, and mature DevOps practices, with hands-on leadership of CI/CD pipelines, infrastructure automation, observability, and developer tooling.
- Demonstrated success in designing and scaling internal developer platforms, reusable services, and integration frameworks across multiple product lines or business units.
- Strong experience with AI and machine learning integration into both internal engineering workflows (e.g., AI-assisted coding, QA, observability) and customer-facing product delivery.
- Proven ability to enable and upskill delivery teams to confidently incorporate AI/ML capabilities into solutions, with a strong grasp of responsible and ethical AI usage.
- Experience with technical architecture governance, platform maturity models, and alignment of cross-functional engineering teams.
- Strong understanding of healthcare data ecosystems, interoperability standards, APIs, and regulatory environments (e.g., HIPAA, HITRUST) is preferred.
- Exceptional leadership, strategic thinking, and communication skills with a bias for action and transformation.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field; MBA or equivalent cross-functional leadership experience is a plus.
RxSense believes that a diverse workforce is a more talented and productive workforce. As such, we are an Equal Opportunity and Affirmative Action employer. Our recruitment process is free from discriminatory hiring practices and all qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin. Neither will qualified applicants be discriminated against on the basis of disability or protected veteran status. We believe in the strength of the collaboration, creativity and sense of community a diverse workforce brings.
